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autocompletar

autocomplete

O operador autocomplete realiza uma pesquisa por uma palavra ou frase que contém uma sequência de caracteres de uma string de entrada incompleta. Os campos que você pretende consultar com o operador autocomplete devem ser indexados com o tipo de dados de preenchimento automático na definição de índice da coleção. Para saber como configurar seu índice para preenchimento automático, consulte Como indexar campos para preenchimento automático.

Observação

O Atlas Search pode retornar resultados imprecisos para queries com mais de três palavras em uma única string.

Você pode usar o operador autocomplete com aplicativos de pesquisa conforme você digita para prever palavras com precisão crescente à medida que os caracteres são inseridos no campo de pesquisa do aplicativo. autocomplete retorna resultados que contêm palavras previstas com base na estratégia de tokenização especificada na definição de índice para preenchimento automático.

Se você quiser criar sugestões ou menus suspensos usando o operador Atlas Search autocomplete, recomendamos que você faça query em uma coleção de termos de pesquisa sugeridos ou use termos de pesquisa anteriores para preencher o menu suspenso. Se você criar uma coleção separada de termos de pesquisa sugeridos, poderá definir mapeamentos de sinônimos em seu índice do Atlas Search para pesquisar em sua coleção as palavras exatas ou alternativas. Você pode acompanhar os termos de pesquisa e visualizar métricas dos termos de pesquisa para criar sua coleção.

autocomplete tem a seguinte sintaxe:

1{
2 $search: {
3 "index": "<index name>", // optional, defaults to "default"
4 "autocomplete": {
5 "query": "<search-string>",
6 "path": "<field-to-search>",
7 "tokenOrder": "any|sequential",
8 "fuzzy": <options>,
9 "score": <options>
10 }
11 }
12}
Campo
Tipo
Descrição
necessidade
Default

query

cadeia de caracteres ou matriz de cadeias de caracteres

String ou strings para pesquisar. Se houver vários termos em uma string, o Atlas Search também procurará uma correspondência para cada termo na string separadamente.

sim

path

string

Campo indexado para pesquisar. Este campo deve ser indexado como o tipo de dados autocomplete . Para saber mais, consulte Como indexar campos para preenchimento automático.

O operador autocomplete não suporta as opções multi ou wildcard (*) no parâmetro path. Ele também não suporta uma array de campos como o valor path.

Para obter um exemplo de uma query de operador autocomplete em vários campos, consulte Pesquisar em vários campos.

sim

fuzzy

objeto

Ative a pesquisa difusa. Encontre strings semelhantes ao procurar termos.

no

fuzzy
.maxEdits

inteiro

Número máximo de edições de caracteres únicos necessárias para corresponder ao termo de pesquisa especificado. O valor pode ser 1 ou 2.

no

2

fuzzy
.prefixLength

inteiro

Número de caracteres no início de cada termo no resultado que deve corresponder exatamente.

no

0

fuzzy
.maxExpansions

inteiro

Número máximo de variações para gerar e pesquisar. Este limite se aplica por token.

no

50

score

objeto

Pontuação a ser atribuída aos resultados do termo de pesquisa correspondente. Use uma das seguintes opções para modificar a pontuação padrão:

  • boost: multiplique a pontuação do resultado pelo número fornecido.

  • constant: substitui a pontuação do resultado pelo número fornecido.

  • function: Substitua a pontuação do resultado pela expressão fornecida .

autocomplete oferece menos fidelidade na pontuação em troca de uma execução mais rápida da query. Para saber mais, consulte Comportamento de pontuação.

Para obter informações sobre como utilizar o score em sua consulta, consulte Classificar os documentos nos resultados.

no

tokenOrder

string

Ordem na qual procurar tokens. O valor pode ser um dos seguintes:

any

Indica tokens na query que podem aparecer em qualquer ordem nos documentos. Os resultados contêm documentos onde os tokens aparecem sequencialmente e não sequencialmente. No entanto, os resultados em que os tokens aparecem sequencialmente têm pontuação mais alta do que outros valores não sequenciais.

sequential

Indica que os tokens na query devem aparecer adjacentes uns aos outros ou na ordem especificada na query nos documentos. Os resultados contêm apenas documentos onde os tokens aparecem sequencialmente.

no

any

Os resultados da query do operador autocomplete que são correspondências exatas recebem uma pontuação inferior aos resultados que não são correspondências exatas. A Atlas Search não poderá determinar se uma query string é uma correspondência exata para um texto indexado se você especificar apenas as subcadeias de caracteres de token indexadas com preenchimento automático. Para pontuar correspondências exatas mais altas, tente a seguinte solução alternativa:

Observação

A seguinte solução alternativa não garante pontuações mais altas para correspondências exatas em todos os casos.

  1. Indexe o campo como tipos de preenchimento automático e string .

    O Atlas Search autocomplete aumenta as correspondências exatas quando um campo autocomplete também é indexado como um string, aumentando assim a pontuação das correspondências exatas.

  2. query usando o operador composto.

Para uma demonstração desta solução alternativa,consulte Pesquisar em vários campos.

Os exemplos seguintes utilizam a collection movies no banco de dados sample_mflix. Se você carregou o conjunto de dados de amostra em seu cluster, poderá criar o índice estático para preenchimento automático e executar as queries de exemplo em seu cluster.

As abas a seguir contêm definições de índice de amostra para as estratégias de tokenização edgeGram, rightEdgeGram e nGram. Além do tipo de preenchimento automático, as definições de índice de exemplo incluem os tipos string e stringFacet no campo title.

1{
2 "mappings": {
3 "dynamic": false,
4 "fields": {
5 "title": [
6 {
7 "type": "stringFacet"
8 },
9 {
10 "type": "string"
11 },
12 {
13 "foldDiacritics": false,
14 "maxGrams": 7,
15 "minGrams": 3,
16 "tokenization": "edgeGram",
17 "type": "autocomplete"
18 }
19 ],
20 "plot": [
21 {
22 "type": "autocomplete",
23 "tokenization": "edgeGram",
24 "minGrams": 2,
25 "maxGrams": 15,
26 "foldDiacritics": true
27 }
28 ]
29 }
30 }
31}
1{
2 "mappings": {
3 "dynamic": false,
4 "fields": {
5 "title": [
6 {
7 "type": "stringFacet"
8 },
9 {
10 "type": "string"
11 },
12 {
13 "foldDiacritics": false,
14 "maxGrams": 7,
15 "minGrams": 3,
16 "tokenization": "rightEdgeGram",
17 "type": "autocomplete"
18 }
19 ],
20 "plot": [
21 {
22 "type": "autocomplete",
23 "tokenization": "rightEdgeGram",
24 "minGrams": 2,
25 "maxGrams": 15,
26 "foldDiacritics": true
27 }
28 ]
29 }
30 }
31}
1{
2 "mappings": {
3 "dynamic": false,
4 "fields": {
5 "title": [
6 {
7 "type": "stringFacet"
8 },
9 {
10 "type": "string"
11 },
12 {
13 "foldDiacritics": false,
14 "maxGrams": 7,
15 "minGrams": 3,
16 "tokenization": "nGram",
17 "type": "autocomplete"
18 }
19 ],
20 "plot": [
21 {
22 "type": "autocomplete",
23 "tokenization": "nGram",
24 "minGrams": 2,
25 "maxGrams": 15,
26 "foldDiacritics": true
27 }
28 ]
29 }
30 }
31}

➤ Use o menu suspenso Selecione a linguagem para definir a linguagem do exemplo nesta página.


Para visualizar e editar a sintaxe da query no Search Tester:

1

Aviso

Melhorias na navegação em andamento

No momento, estamos lançando uma experiência de navegação nova e aprimorada. Se as etapas a seguir não corresponderem à sua visualização na UI do Atlas, consulte a documentação de visualização.

  1. Se ainda não tiver sido exibido, selecione a organização que contém seu projeto no menu Organizations na barra de navegação.

  2. Se ainda não estiver exibido, selecione o projeto desejado no menu Projects na barra de navegação.

  3. Se ainda não estiver exibido, clique em Clusters na barra lateral.

    A página Clusters é exibida.

2

Você pode acessar a página do Atlas Search pela barra lateral, pelo Data Explorer ou pela página de detalhes do cluster.

  1. Na barra lateral, clique em Atlas Search sob o título Services.

    Se você não tiver clusters, clique em Create cluster para criar um. Para saber mais, consulte Criar um cluster.

  2. Se o seu projeto tiver múltiplos clusters, selecione o cluster que deseja utilizar a partir do menu suspenso Select cluster e clique em Go to Atlas Search.

    A página Atlas Search é exibida.

  1. Clique no botão Browse Collections para o seu cluster.

  2. Expanda o banco de dados e selecione a coleção.

  3. Clique na guia Search Indexes da coleção.

    A página Atlas Search é exibida.

  1. Clique no nome do seu cluster.

  2. Clique na aba Atlas Search.

    A página Atlas Search é exibida.

3
  1. Clique no botão Query à direita do índice para consultar.

  2. Clique em Edit Query para visualizar uma amostra de sintaxe de consulta padrão no formato JSON .

Execute o seguinte comando no prompt mongosh para usar o banco de dados sample_mflix:

use sample_mflix

Para aprender como executar as seguintes queries no mongosh, consulte Definir Sua Query.

Para saber como executar as seguintes queries no MongoDB Compass, consulte Definir sua query.

Para saber como executar as seguintes queries usando o driver MongoDB C#, consulte Definir sua query.

Para saber como executar as seguintes queries usando o driver MongoDB Go, consulte Definir sua query.

Para saber como executar as seguintes queries usando o driver do MongoDB Java, consulte Definir sua query.

Para saber como executar as seguintes queries usando o driver MongoDB Kotlin, consulte Definir sua query.

Para saber como executar as seguintes queries usando o Driver de Node do MongoDB, consulte Definir sua query.

Para saber como executar as seguintes queries usando o driver do PyMongo, consulte Definir sua query.

As queries a seguir procuram filmes com os caracteres off no campo title.

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
autocomplete: {
path: "title",
query: "off"
}
}
}
]

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

db.movies.aggregate([
{
$search: {
"autocomplete": {
"path": "title",
"query": "off"
}
}
},
{
$limit: 10
},
{
$project: {
"_id": 0,
"title": 1
}
}
])

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"autocomplete": {
"query": "off",
"path": "title"
}
}

$limit

10

$project

{
"_id": 0,
"title": 1,
}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteBasicExample
{
private const string MongoConnectionString = "<connection-string>";
public static void Main(string[] args)
{
// allow automapping of the camelCase database fields to our MovieDocument
var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
// connect to your Atlas cluster
var mongoClient = new MongoClient(MongoConnectionString);
var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
// define and run pipeline
var results = moviesCollection.Aggregate()
.Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "off"))
.Project<MovieDocument>(Builders<MovieDocument>.Projection
.Include(movie => movie.Title)
.Exclude(movie => movie.Id))
.Limit(10)
.ToList();
// print results
foreach (var movie in results)
{
Console.WriteLine(movie.ToJson());
}
}
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
[BsonIgnoreIfDefault]
public ObjectId Id { get; set; }
public string Title { get; set; }
}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

package main
import (
"context"
"fmt"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"go.mongodb.org/mongo-driver/v2/mongo/options"
)
func main() {
// connect to your Atlas cluster
client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
if err != nil {
panic(err)
}
defer client.Disconnect(context.TODO())
// set namespace
collection := client.Database("sample_mflix").Collection("movies")
// define pipeline stages
searchStage := bson.D{{Key: "$search", Value: bson.D{{Key: "autocomplete", Value: bson.D{{Key: "query", Value: "off"}, {Key: "path", Value: "title"}}}}}}
limitStage := bson.D{{Key: "$limit", Value: 10}}
projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "_id", Value: 0}}}}
// run pipeline
cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
if err != nil {
panic(err)
}
// print results
var results []bson.D
if err = cursor.All(context.TODO(), &results); err != nil {
panic(err)
}
for _, result := range results {
fmt.Println(result)
}
}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteBasicExample {
public static void main(String[] args) {
// connect to your Atlas cluster
String uri = "<connection-string>";
try (MongoClient mongoClient = MongoClients.create(uri)) {
// set namespace
MongoDatabase database = mongoClient.getDatabase("sample_mflix");
MongoCollection<Document> collection = database.getCollection("movies");
// define pipeline
Document agg = new Document("$search", new Document("autocomplete", new Document("query", "off").append("path", "title")));
// run pipeline and print results
collection.aggregate(Arrays.asList(agg,
limit(10),
project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
}
}
}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
"<connection-string>";
const client = new MongoClient(uri);
async function run() {
try {
await client.connect();
// set namespace
const database = client.db("sample_mflix");
const coll = database.collection("movies");
// define pipeline
const agg = [
{$search: {autocomplete: {query: "off", path: "title"}}},
{$limit: 10},
{$project: {_id: 0,title: 1}}
];
// run pipeline
const result = await coll.aggregate(agg);
// print results
await result.forEach((doc) => console.log(doc));
} finally {
await client.close();
}
}
run().catch(console.dir);

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
val uri = "<connection-string>"
val mongoClient = MongoClient.create(uri)
val database = mongoClient.getDatabase("sample_mflix")
val collection = database.getCollection<Document>("movies")
runBlocking {
val agg = Document(
"\$search",
Document("autocomplete", Document("query", "off")
.append("path", "title"))
)
val resultsFlow = collection.aggregate<Document>(
listOf(
agg,
limit(10),
project(fields(excludeId(), include("title")))
)
)
resultsFlow.collect { println(it) }
}
mongoClient.close()
}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
{"$search": {"autocomplete": {"query": "off", "path": "title"}}},
{"$limit": 10},
{"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
print(i)

Observação

Seus resultados podem variar

O Atlas Search retorna resultados diferentes, dependendo da estratégia de tokenização configurada na definição do índice para o tipo de preenchimento automático. Para saber mais, consulte Como indexar campos para preenchimento automático.

SCORE: 9.361787796020508 _id: "573a13b0f29313caabd355c8"
countries: Array
genres: Array
runtime: 100
...
title: "Off Beat"
SCORE: 9.068204879760742 _id: "573a13aaf29313caabd22a8c"
fullplot: "An 11-year-old girl watches her father come down with a crippling depr…"
imdb: Object
year: 2003
...
title: "Off the Map"
SCORE: 9.068204879760742 _id: "573a13bef29313caabd5d208"
plot: "With white Jewish lesbians for parents and two adopted brothers - one …"
genres: Array
runtime: 76
...
title: "Off and Running"
SCORE: 8.742463111877441 _id: "573a13bbf29313caabd5567"
countries: Array
genres: Array
runtime: 98
...
title: "Hands off Mississippi"
SCORE: 8.61273193359375 _id: "5573a1396f29313caabce4791"
plot: "Unable to deal with her parents, Jeannie Tyne runs away from home. Lar…"
genres: Array
runtime: 93
...
title: "Taking Off"
SCORE: 8.61273193359375 _id: "573a1399f29313caabced3c1"
plot: "A travelling theater group find so much action going on behind-the-sce…"
genres: Array
runtime: 101
...
title: "Noises Off..."
SCORE: 8.61273193359375 _id: "573a139af29313caabcefc73"
fullplot: "In existence for a hundred years, Grimley Colliery Brass band is as ol…"
imdb: Object
year: 1996
...
title: "Brassed Off"
SCORE: 8.61273193359375 _id: "573a139af29313caabcf08f5"
fullplot: "Sean Archer, a very tough, rugged FBI Agent. Who is still grieving for…"
imdb: Object
year: 1997
...
title: "Face/Off"
SCORE: 8.603004455566406 _id: "573a13a9f29313caabd1ea36"
fullplot: "Three unlikely, unsuspecting souls who come face-to-face with that mom…"
imdb: Object
year: 2004
...
title: "Benji: Off the Leash!"
SCORE: 7.953945159912109 _id: "573a139af29313caabcf037c"
plot: "Desperation drives four inner-city women (Queen Latifah, Jada Pinkett …"
genres: Array
runtime: 123
...
title: "Set it Off"
SCORE: 9.81808090209961 _id: "5573a1396f29313caabce4791"
plot: "Unable to deal with her parents, Jeannie Tyne runs away from home. Lar…"
genres: Array
runtime: 93
...
title: "Taking Off"
SCORE: 9.81808090209961 _id: "573a1399f29313caabced3c1"
plot: "A travelling theater group find so much action going on behind-the-sce…"
genres: Array
runtime: 101
...
title: "Noises Off..."
SCORE: 9.81808090209961 _id: "573a139af29313caabcefc73"
fullplot: "In existence for a hundred years, Grimley Colliery Brass band is as ol…"
imdb: Object
year: 1996
...
title: "Brassed Off"
SCORE: 9.81808090209961 _id: "573a139af29313caabcf08f5"
fullplot: "Sean Archer, a very tough, rugged FBI Agent. Who is still grieving for…"
imdb: Object
year: 1997
...
title: "Face/Off"
SCORE: 9.544584274291992 _id: "573a139af29313caabcf037c"
plot: "Desperation drives four inner-city women (Queen Latifah, Jada Pinkett …"
genres: Array
runtime: 123
...
title: "Set it Off"
SCORE: 9.191947937011719 _id: "573a13bbf29313caabd5567"
countries: Array
genres: Array
runtime: 98
...
title: "Hands off Mississippi"
SCORE: 9.074413299560547 _id: "573a1398f29313caabce9f28"
plot: "A high school wise guy is determined to have a day off from school, de…"
genres: Array
runtime: 103
...
title: "Ferris Bueller's Day Off"
SCORE: 9.007184982299805 _id: "573a13b0f29313caabd355c8"
countries: Array
genres: Array
runtime: 100
...
title: "Off Beat"
SCORE: 8.700296401977539 _id: "573a13a9f29313caabd1ea36"
fullplot: "Three unlikely, unsuspecting souls who come face-to-face with that mom…"
imdb: Object
year: 2004
...
title: "Benji: Off the Leash!"
SCORE: 8.33833122253418 _id: "573a13aaf29313caabd22a8c"
fullplot: "An 11-year-old girl watches her father come down with a crippling depr…"
imdb: Object
year: 2003
...
title: "Off the Map"
SCORE: 5.802560806274414 _id: “573a1396f29313caabce47f4”
countries: Array
genres: Array
runtime: 98
...
title: "Come Have Coffee with Us"
SCORE: 5.790548801422119 _id: "573a13d1f29313caabd90811"
plot: "From pagan re-enactors to failed communes, black metal festivals to Ar…"
genres: Array
runtime: 98
...
title: "A Spell to Ward Off the Darkness"
SCORE: 5.7726240158081055 _id: "573a13f3f29313caabddeb07"
plot: "Turkey in the 1960s and 70s was one of the biggest producers of film i…"
genres: Array
runtime: 96
...
title: "Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema"
SCORE: 5.749281883239746 _id: "573a13a9f29313caabd1ea36"
fullplot: "Three unlikely, unsuspecting souls who come face-to-face with that mom…"
imdb: Object
year: 2004
...
title: "Benji: Off the Leash!"
SCORE: 5.749281883239746 _id: "573a13d4f29313caabd98488"
fullplot: "This tragicomedy is a self-ironic portrait of a young man who drops ou…"
imdb: Object
year: 2012
...
title: "A Coffee in Berlin"
SCORE: 5.74220085144043 _id: “573a1397f29313caabce863f”
fullplot: "Zack Mayo is a young man who has signed up for Navy Aviation Officer C…"
imdb: Object
year: 1982
...
title: "An Officer and a Gentleman"
SCORE: 5.671174049377441 _id: “573a1398f29313caabce987c”
plot: "After the end of the Dirty War, a high school teacher sets out to find…"
genres: Array
runtime: 112
...
title: "The Official Story"
SCORE: 5.671174049377441 _id: “573a13a5f29313caabd14c36”
plot: "The first days of WWI. Adrien, a young and handsome lieutenant, is wou…"
genres: Array
runtime: 135
...
title: "The Officer's Ward"
SCORE: 5.671174049377441 _id: "573a13bbf29313caabd5567"
countries: Array
genres: Array
runtime: 98
...
title: "Hands off Mississippi"
SCORE: 5.534632682800293 _id: "573a1395f29313caabce18c9"
plot: "In this "Romeo and Juliet" inspired Cold War satire starring, written …"
genres: Array
runtime: 103
...
title: "Romanoff and Juliet"

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1{ title: 'Off Beat' },
2{ title: 'Off the Map' },
3{ title: 'Off and Running' },
4{ title: 'Hands off Mississippi' },
5{ title: 'Taking Off' },
6{ title: 'Noises Off...' },
7{ title: 'Brassed Off' },
8{ title: 'Face/Off' },
9{ title: 'Benji: Off the Leash!' },
10{ title: 'Set It Off' }

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1{ title: 'Taking Off' }
2{ title: 'Noises Off...' }
3{ title: 'Brassed Off' }
4{ title: 'Face/Off' }
5{ title: 'Set It Off' }
6{ title: 'Hands off Mississippi' }
7{ title: "Ferris Bueller's Day Off" }
8{ title: 'Off Beat' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Off the Map' }

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1{ title: 'Come Have Coffee with Us' },
2{ title: 'A Spell to Ward Off the Darkness' },
3{ title: 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema' },
4{ title: 'Benji: Off the Leash!' },
5{ title: 'A Coffee in Berlin' },
6{ title: 'An Officer and a Gentleman' },
7{ title: 'The Official Story' },
8{ title: "The Officer's Ward" },
9{ title: 'Hands off Mississippi' },
10{ title: 'Romanoff and Juliet' }

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1{ title: 'Off Beat' },
2{ title: 'Off the Map' },
3{ title: 'Off and Running' },
4{ title: 'Hands off Mississippi' },
5{ title: 'Taking Off' },
6{ title: 'Noises Off...' },
7{ title: 'Brassed Off' },
8{ title: 'Face/Off' },
9{ title: 'Benji: Off the Leash!' },
10{ title: 'Set It Off' }

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1{ title: 'Taking Off' }
2{ title: 'Noises Off...' }
3{ title: 'Brassed Off' }
4{ title: 'Face/Off' }
5{ title: 'Set It Off' }
6{ title: 'Hands off Mississippi' }
7{ title: "Ferris Bueller's Day Off" }
8{ title: 'Off Beat' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Off the Map' }

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1{ title: 'Come Have Coffee with Us' },
2{ title: 'A Spell to Ward Off the Darkness' },
3{ title: 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema' },
4{ title: 'Benji: Off the Leash!' },
5{ title: 'A Coffee in Berlin' },
6{ title: 'An Officer and a Gentleman' },
7{ title: 'The Official Story' },
8{ title: "The Officer's Ward" },
9{ title: 'Hands off Mississippi' },
10{ title: 'Romanoff and Juliet' }

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1{ "title": "Off Beat" }
2{ "title": "Off the Map" }
3{ "title": "Off and Running" }
4{ "title": "Hands off Mississippi" }
5{ "title": "Taking Off" }
6{ "title": "Noises Off..." }
7{ "title": "Brassed Off" }
8{ "title": "Face/Off" }
9{ "title": "Benji: Off the Leash!" }
10{ "title": "Set It Off" }

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1{ "title" : "Taking Off" }
2{ "title" : "Noises Off..." }
3{ "title" : "Brassed Off" }
4{ "title" : "Face/Off" }
5{ "title" : "Set It Off" }
6{ "title" : "Hands off Mississippi" }
7{ "title" : "Ferris Bueller's Day Off" }
8{ "title" : "Off Beat" }
9{ "title" : "Benji: Off the Leash!" }
10{ "title" : "Off the Map" }

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1{ "title" : "Come Have Coffee with Us" }
2{ "title" : "A Spell to Ward Off the Darkness" }
3{ "title" : "Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema" }
4{ "title" : "Benji: Off the Leash!" }
5{ "title" : "A Coffee in Berlin" }
6{ "title" : "An Officer and a Gentleman" }
7{ "title" : "The Official Story" }
8{ "title" : "The Officer's Ward" }
9{ "title" : "Hands off Mississippi" }
10{ "title" : "Romanoff and Juliet" }

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1[{title Off Beat}]
2[{title Off the Map}]
3[{title Off and Running}]
4[{title Hands off Mississippi}]
5[{title Taking Off}]
6[{title Noises Off...}]
7[{title Brassed Off}]
8[{title Face/Off}]
9[{title Benji: Off the Leash!}]
10[{title Set It Off}]

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1[{title Taking Off}]
2[{title Noises Off...}]
3[{title Brassed Off}]
4[{title Face/Off}]
5[{title Set It Off}]
6[{title Hands off Mississippi}]
7[{title Ferris Bueller's Day Off}]
8[{title Off Beat}]
9[{title Benji: Off the Leash!}]
10[{title Off the Map}]

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1[{title Come Have Coffee with Us}]
2[{title A Spell to Ward Off the Darkness}]
3[{title Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema}]
4[{title Benji: Off the Leash!}]
5[{title A Coffee in Berlin}]
6[{title An Officer and a Gentleman}]
7[{title The Official Story}]
8[{title The Officer's Ward}]
9[{title Hands off Mississippi}]
10[{title Romanoff and Juliet}]

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1{"title": "Off Beat"}
2{"title": "Off the Map"}
3{"title": "Off and Running"}
4{"title": "Hands off Mississippi"}
5{"title": "Taking Off"}
6{"title": "Noises Off..."}
7{"title": "Brassed Off"}
8{"title": "Face/Off"}
9{"title": "Benji: Off the Leash!"}
10{"title": "Set It Off"}

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1{"title": "Taking Off"}
2{"title": "Noises Off..."}
3{"title": "Brassed Off"}
4{"title": "Face/Off"}
5{"title": "Set It Off"}
6{"title": "Hands off Mississippi"}
7{"title": "Ferris Bueller's Day Off"}
8{"title": "Off Beat"}
9{"title": "Benji: Off the Leash!"}
10{"title": "Off the Map"}

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1{"title": "Come Have Coffee with Us"}
2{"title": "A Spell to Ward Off the Darkness"}
3{"title": "Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema"}
4{"title": "Benji: Off the Leash!"}
5{"title": "A Coffee in Berlin"}
6{"title": "An Officer and a Gentleman"}
7{"title": "The Official Story"}
8{"title": "The Officer's Ward"}
9{"title": "Hands off Mississippi"}
10{"title": "Romanoff and Juliet"}

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1Document{{title=Off Beat}}
2Document{{title=Off the Map}}
3Document{{title=Off and Running}}
4Document{{title=Hands off Mississippi}}
5Document{{title=Taking Off}}
6Document{{title=Face/Off}}
7Document{{title=Noises Off...}}
8Document{{title=Brassed Off}}
9Document{{title=Benji: Off the Leash!}}
10Document{{title=Set It Off}}

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1Document{{title=Noises Off...}}
2Document{{title=Taking Off}}
3Document{{title=Brassed Off}}
4Document{{title=Face/Off}}
5Document{{title=Set It Off}}
6Document{{title=Hands off Mississippi}}
7Document{{title=Ferris Bueller's Day Off}}
8Document{{title=Off Beat}}
9Document{{title=Benji: Off the Leash!}}
10Document{{title=Off and Running}}

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1Document{{title=Taking Off}}
2Document{{title=Noises Off...}}
3Document{{title=Brassed Off}}
4Document{{title=Face/Off}}
5Document{{title=Off Beat}}
6Document{{title=Hands off Mississippi}}
7Document{{title=Off the Map}}
8Document{{title=Set It Off}}
9Document{{title=Off and Running}}
10Document{{title=Benji: Off the Leash!}}

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1{ title: 'Off Beat' }
2{ title: 'Off the Map' }
3{ title: 'Off and Running' }
4{ title: 'Hands off Mississippi' }
5{ title: 'Taking Off' }
6{ title: 'Noises Off...' }
7{ title: 'Brassed Off' }
8{ title: 'Face/Off' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Set It Off' }

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1{ title: 'Taking Off' }
2{ title: 'Noises Off...' }
3{ title: 'Brassed Off' }
4{ title: 'Face/Off' }
5{ title: 'Set It Off' }
6{ title: 'Hands off Mississippi' }
7{ title: "Ferris Bueller's Day Off" }
8{ title: 'Off Beat' }
9{ title: 'Benji: Off the Leash!' }
10{ title: 'Off the Map' }

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1{ title: 'Come Have Coffee with Us' }
2{ title: 'A Spell to Ward Off the Darkness' }
3{ title: 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema' }
4{ title: 'Benji: Off the Leash!' }
5{ title: 'A Coffee in Berlin' }
6{ title: 'An Officer and a Gentleman' }
7{ title: 'The Official Story' }
8{ title: "The Officer's Ward" }
9{ title: 'Hands off Mississippi' }
10{ title: 'Romanoff and Juliet' }

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

1{'title': 'Off Beat'}
2{'title': 'Off the Map'}
3{'title': 'Off and Running'}
4{'title': 'Hands off Mississippi'}
5{'title': 'Taking Off'}
6{'title': 'Noises Off...'}
7{'title': 'Brassed Off'}
8{'title': 'Face/Off'}
9{'title': 'Benji: Off the Leash!'}
10{'title': 'Set It Off'}

Nos resultados acima, os caracteres off aparecem no lado esquerdo de uma palavra em todos os títulos.

1{'title': 'Taking Off'}
2{'title': 'Noises Off...'}
3{'title': 'Brassed Off'}
4{'title': 'Face/Off'}
5{'title': 'Set It Off'}
6{'title': 'Hands off Mississippi'}
7{'title': "Ferris Bueller's Day Off"}
8{'title': 'Off Beat'}
9{'title': 'Benji: Off the Leash!'}
10{'title': 'Off the Map'}

Nos resultados acima, os caracteres off aparecem no lado direito de uma palavra em todos os títulos.

1{'title': 'Come Have Coffee with Us'}
2{'title': 'A Spell to Ward Off the Darkness'}
3{'title': 'Remake, Remix, Rip-Off: About Copy Culture & Turkish Pop Cinema'}
4{'title': 'Benji: Off the Leash!'}
5{'title': 'A Coffee in Berlin'}
6{'title': 'An Officer and a Gentleman'}
7{'title': 'The Official Story'}
8{'title': "The Officer's Ward"}
9{'title': 'Hands off Mississippi'}
10{'title': 'Romanoff and Juliet'}

Nos resultados acima, os personagens off aparecem em posições diferentes nos títulos.

As queries a seguir procuram filmes com os caracteres pre no campo title. A query usa:

Campo

Descrição

maxEdits

Indica que somente uma variação de caractere é permitida na string de query pre para corresponder a query a uma palavra nos documentos.

prefixLength

Indica que o primeiro caractere na cadeia de caracteres de query pre não pode ser alterado ao corresponder a query a uma palavra nos documentos.

maxExpansions

Indica que até duzentos e cinquenta e seis termos semelhantes para pre podem ser considerados ao corresponder a string de query a uma palavra nos documentos.

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
autocomplete: {
path: "title",
query: "pre",
fuzzy: {
maxEdits: 1,
prefixLength: 1,
maxExpansions: 256
}
}
}
}
]
db.movies.aggregate([
{
$search: {
"autocomplete": {
"path": "title",
"query": "pre",
"fuzzy": {
"maxEdits": 1,
"prefixLength": 1,
"maxExpansions": 256
}
}
}
},
{
$limit: 10
},
{
$project: {
"_id": 0,
"title": 1
}
}
])

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"autocomplete": {
"query": "pre",
"path": "title",
"fuzzy": {
"maxEdits": 1,
"prefixLength": 1,
"maxExpansions": 256
}
}
}

$limit

10

$project

{
"_id": 0,
"title": 1,
}
using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteFuzzyExample
{
private const string MongoConnectionString = "<connection-string>";
public static void Main(string[] args)
{
// allow automapping of the camelCase database fields to our MovieDocument
var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
// connect to your Atlas cluster
var mongoClient = new MongoClient(MongoConnectionString);
var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
// define fuzzy options
SearchFuzzyOptions fuzzyOptions = new SearchFuzzyOptions()
{
MaxEdits = 1,
PrefixLength = 1,
MaxExpansions = 256
};
// define and run pipeline
var results = moviesCollection.Aggregate()
.Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "pre", fuzzy: fuzzyOptions))
.Project<MovieDocument>(Builders<MovieDocument>.Projection
.Include(movie => movie.Title)
.Exclude(movie => movie.Id))
.Limit(10)
.ToList();
// print results
foreach (var movie in results)
{
Console.WriteLine(movie.ToJson());
}
}
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
[BsonIgnoreIfDefault]
public ObjectId Id { get; set; }
public string Title { get; set; }
}
package main
import (
"context"
"fmt"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"go.mongodb.org/mongo-driver/v2/mongo/options"
)
func main() {
// connect to your Atlas cluster
client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
if err != nil {
panic(err)
}
defer client.Disconnect(context.TODO())
// set namespace
collection := client.Database("sample_mflix").Collection("movies")
// define pipeline stages
searchStage := bson.D{{Key: "$search", Value: bson.D{{Key: "autocomplete", Value: bson.D{{Key: "query", Value: "pre"}, {Key: "path", Value: "title"}, {Key: "fuzzy", Value: bson.D{{Key: "maxEdits", Value: 1}, {Key: "prefixLength", Value: 1}, {Key: "maxExpansions", Value: 256}}}}}}}}
limitStage := bson.D{{Key: "$limit", Value: 10}}
projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "_id", Value: 0}}}}
// run pipeline
cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
if err != nil {
panic(err)
}
// print results
var results []bson.D
if err = cursor.All(context.TODO(), &results); err != nil {
panic(err)
}
for _, result := range results {
fmt.Println(result)
}
}
import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteFuzzyExample {
public static void main(String[] args) {
// connect to your Atlas cluster
String uri = "<connection-string>";
try (MongoClient mongoClient = MongoClients.create(uri)) {
// set namespace
MongoDatabase database = mongoClient.getDatabase("sample_mflix");
MongoCollection<Document> collection = database.getCollection("movies");
// define pipeline
Document agg = new Document("$search", new Document("autocomplete",
new Document("query", "pre")
.append("path", "title")
.append("fuzzy", new Document("maxEdits", 1).append("prefixLength", 1).append("maxExpansions", 256))));
// run pipeline and print results
collection.aggregate(Arrays.asList(agg,
limit(10),
project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
}
}
}
import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
val uri = "<connection-string>"
val mongoClient = MongoClient.create(uri)
val database = mongoClient.getDatabase("sample_mflix")
val collection = database.getCollection<Document>("movies")
runBlocking {
val agg = Document(
"\$search",
Document("autocomplete", Document("query", "pre")
.append("path", "title")
.append("fuzzy", Document("maxEdits", 1)
.append("prefixLength", 1)
.append("maxExpansions", 256))
)
)
val resultsFlow = collection.aggregate<Document>(
listOf(
agg,
limit(10),
project(fields(excludeId(), include("title")))
)
)
resultsFlow.collect { println(it) }
}
mongoClient.close()
}
const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
"<connection-string>";
const client = new MongoClient(uri);
async function run() {
try {
await client.connect();
// set namespace
const database = client.db("sample_mflix");
const coll = database.collection("movies");
// define pipeline
const agg = [
{$search: {autocomplete: {query: "pre", path: "title", fuzzy: {"maxEdits": 1, "prefixLength": 1, "maxExpansions": 256}}}},
{$limit: 10},
{$project: {_id: 0,title: 1}}
];
// run pipeline
const result = await coll.aggregate(agg);
// print results
await result.forEach((doc) => console.log(doc));
} finally {
await client.close();
}
}
run().catch(console.dir);
import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
{"$search": {"autocomplete": {"query": "pre", "path": "title", "fuzzy": {"maxEdits": 1, "prefixLength": 1, "maxExpansions": 256}}}},
{"$limit": 10},
{"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
print(i)

Observação

Seus resultados podem variar

O Atlas Search retorna resultados diferentes, dependendo da estratégia de tokenização configurada na definição do índice para o tipo de preenchimento automático. Para saber mais, consulte Como indexar campos para preenchimento automático.

SCORE: 1 _id: “573a1390f29313caabcd5293”
plot: "Young Pauline is left a lot of money when her wealthy uncle dies. Howe…"
genres: Array
runtime: 199
...
title: "The Perils of Pauline"
SCORE: 1 _id: “573a1391f29313caabcd9458”
plot: "A young artist draws a face at a canvas on his easel. Suddenly the mou…"
genres: Array
rated: "UNRATED"
...
title: "The Blood of a Poet"
SCORE: 1 _id: “573a1392f29313caabcda09b”
plot: "Tells how King Henry VIII came to marry five more times after his divo…"
genres: Array
runtime: 97
...
title: "The Private Life of Henry VIII."
SCORE: 1 _id: “573a1392f29313caabcda556”
plot: "What do women want? Don Juan is aging. He's arrived secretly in Sevill…"
genres: Array
runtime: 89
...
title: "The Private Life of Don Juan"
SCORE: 1 _id: “573a1392f29313caabcdaee0”
plot: "The story of Dr. Samuel Mudd, who was imprisoned after innocently trea…"
genres: Array
runtime: 96
...
title: "The Prisoner of Shark Island"
SCORE: 1 _id: “573a1392f29313caabcdb3f2”
plot: "Two lookalike boys, one a poor street kid and the other a prince, exch…"
genres: Array
runtime: 118
...
title: "The Prince and the Pauper"
SCORE: 1 _id: “573a1392f29313caabcdb3f4”
plot: "An Englishman on a Ruritarian holiday must impersonate the king when t…"
genres: Array
runtime: 101
...
title: "The Prisoner of Zenda"
SCORE: 1 _id: “573a1392f29313caabcdb505”
plot: "After the death of her husband, Christine realizes she has possibly wa…"
genres: Array
runtime: 144
...
title: "Dance Program"
SCORE: 1 _id: “573a1393f29313caabcdca58”
plot: "While traveling in France during the Nazi invasion of 1940, an English…"
genres: Array
runtime: 87
...
title: "The Pied Piper"
SCORE: 1 _id: “573a1393f29313caabcdca76”
plot: "The official World War II US Government film statement defining the va…"
genres: Array
runtime: 87
...
title: "Prelude to War"
SCORE: 1 _id: “573a1390f29313caabcd5ea4”
plot: "A District Attorney's outspoken stand on abortion gets him in trouble …"
genres: Array
runtime: 62
...
title: "Where Are My Children?"
SCORE: 1 _id: “573a1391f29313caabcd70b4”
plot: "An extended family split up in France and Germany find themselves on o…"
genres: Array
runtime: 150
...
title: "The Four Horsemen of the Apocalypse"
SCORE: 1 _id: “573a1391f29313caabcd7850”
plot: "In fifteenth century Paris, the brother of the archdeacon plots with t…"
genres: Array
runtime: 133
...
title: "The Hunchback of Notre Dame"
SCORE: 1 _id: “573a1391f29313caabcd8cbd”
plot: "A young lady from Georgia goes to Hollywood in the hopes of becoming a…"
genres: Array
runtime: 83
...
title: "Show People"
SCORE: 1 _id: “573a1392f29313caabcd9df7”
plot: "A young American man is transported back to London in the time of the …"
genres: Array
runtime: 84
...
title: "Berkeley Square"
SCORE: 1 _id: “573a1392f29313caabcda7fb”
plot: "An entertainer impersonates a look-alike banker, causing comic confusi…"
genres: Array
runtime: 82
...
title: "Folies Bergère de Paris"
SCORE: 1 _id: “573a1393f29313caabcdc4a2”
plot: "Boxer Joe Pendleton dies 50 years too soon due to a heavenly mistake, …"
genres: Array
runtime: 94
...
title: "Here Comes Mr. Jordan"
SCORE: 1 _id: “573a1393f29313caabcdc814”
plot: "An American man marries a Serbian immigrant who fears that she will tu…"
genres: Array
runtime: 73
...
title: "Cat People"
SCORE: 1 _id: “573a1393f29313caabcdc87b”
plot: "Mail author for translation. Kodos hegycsucsok, fekete fenyvesek vilag…"
genres: Array
runtime: 88
...
title: "People on the Alps"
SCORE: 1 _id: “573a1393f29313caabcdcd39”
plot: "A soldier falls for a chorus girl and then experiences trouble when he…"
genres: Array
runtime: 103
...
title: "The Gang's All Here"
SCORE: 1 _id: “573a1390f29313caabcd5293”
plot: "Young Pauline is left a lot of money when her wealthy uncle dies. Howe…"
genres: Array
runtime: 199
...
title: "The Perils of Pauline"
SCORE: 1 _id: “573a1390f29313caabcd5967”
plot: "An intrepid reporter and his loyal friend battle a bizarre secret soci…"
genres: Array
runtime: 399
...
title: "Les vampires"
SCORE: 1 _id: “573a1391f29313caabcd6ea2”
plot: "The simple-minded son of a rich financier must find his own way in the…"
genres: Array
runtime: 77
...
title: "The Saphead"
SCORE: 1 _id: “573a1391f29313caabcd70b4”
plot: "An extended family split up in France and Germany find themselves on o…"
genres: Array
runtime: 150
...
title: "The Four Horsemen of the Apocalypse"
SCORE: 1 _id: “573a1391f29313caabcd7b98”
plot: "A bitter clown endeavors to rescue the young woman he loves from the l…"
genres: Array
runtime: 95
...
title: "He Who Gets Slapped"
SCORE: 1 _id: “573a1391f29313caabcd806b”
plot: "A mad, disfigured composer seeks love with a lovely young opera singer…"
genres: Array
runtime: 93
...
title: "The Phantom of the Opera"
SCORE: 1 _id: “573a1391f29313caabcd8cbd”
plot: "A young lady from Georgia goes to Hollywood in the hopes of becoming a…"
genres: Array
runtime: 83
...
title: "Show People"
SCORE: 1 _id: “573a1391f29313caabcd9458”
plot: "A young artist draws a face at a canvas on his easel. Suddenly the mou…"
genres: Array
rated: "UNRATED"
...
title: "The Blood of a Poet"
SCORE: 1 _id: “573a1391f29313caabcd9651”
plot: "In London at the turn of the century, the bandit Mack the Knife marrie…"
genres: Array
runtime: 112
...
title: "The 3 Penny Opera"
SCORE: 1 _id: “573a1392f29313caabcd9caa”
plot: "Many passengers on the Shanghai Express are more concerned that the no…"
genres: Array
runtime: 82
...
title: "Shanghai Express"

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1{ title: 'The Perils of Pauline' },
2{ title: 'The Blood of a Poet' },
3{ title: 'The Private Life of Henry VIII.' },
4{ title: 'The Private Life of Don Juan' },
5{ title: 'The Prisoner of Shark Island' },
6{ title: 'The Prince and the Pauper' },
7{ title: 'The Prisoner of Zenda' },
8{ title: 'Dance Program' },
9{ title: 'The Pied Piper' },
10{ title: 'Prelude to War' }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1{ title: 'Where Are My Children?' }
2{ title: 'The Four Horsemen of the Apocalypse' }
3{ title: 'The Hunchback of Notre Dame' }
4{ title: 'Show People' }
5{ title: 'Berkeley Square' }
6{ title: 'Folies Bergère de Paris' }
7{ title: 'Here Comes Mr. Jordan' }
8{ title: 'Cat People' }
9{ title: 'People on the Alps' }
10{ title: "The Gang's All Here" }

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1{ title: 'The Perils of Pauline' }
2{ title: 'Les vampires' }
3{ title: 'The Saphead' }
4{ title: 'The Four Horsemen of the Apocalypse' }
5{ title: 'He Who Gets Slapped' }
6{ title: 'The Phantom of the Opera' }
7{ title: 'Show People' }
8{ title: 'The Blood of a Poet' }
9{ title: 'The 3 Penny Opera' }
10{ title: 'Shanghai Express' }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1{ title: 'The Perils of Pauline' },
2{ title: 'The Blood of a Poet' },
3{ title: 'The Private Life of Henry VIII.' },
4{ title: 'The Private Life of Don Juan' },
5{ title: 'The Prisoner of Shark Island' },
6{ title: 'The Prince and the Pauper' },
7{ title: 'The Prisoner of Zenda' },
8{ title: 'Dance Program' },
9{ title: 'The Pied Piper' },
10{ title: 'Prelude to War' }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1{ title: 'Where Are My Children?' }
2{ title: 'The Four Horsemen of the Apocalypse' }
3{ title: 'The Hunchback of Notre Dame' }
4{ title: 'Show People' }
5{ title: 'Berkeley Square' }
6{ title: 'Folies Bergère de Paris' }
7{ title: 'Here Comes Mr. Jordan' }
8{ title: 'Cat People' }
9{ title: 'People on the Alps' }
10{ title: "The Gang's All Here" }

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1{ title: 'The Perils of Pauline' }
2{ title: 'Les vampires' }
3{ title: 'The Saphead' }
4{ title: 'The Four Horsemen of the Apocalypse' }
5{ title: 'He Who Gets Slapped' }
6{ title: 'The Phantom of the Opera' }
7{ title: 'Show People' }
8{ title: 'The Blood of a Poet' }
9{ title: 'The 3 Penny Opera' }
10{ title: 'Shanghai Express' }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1{ "title" : "The Perils of Pauline" }
2{ "title" : "The Blood of a Poet" }
3{ "title" : "The Private Life of Henry VIII." }
4{ "title" : "The Private Life of Don Juan" }
5{ "title" : "The Prisoner of Shark Island" }
6{ "title" : "The Prince and the Pauper" }
7{ "title" : "The Prisoner of Zenda" }
8{ "title" : "Dance Program" }
9{ "title" : "The Pied Piper" }
10{ "title" : "Prelude to War" }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1{ "title" : "Where Are My Children?" }
2{ "title" : "The Four Horsemen of the Apocalypse" }
3{ "title" : "The Hunchback of Notre Dame" }
4{ "title" : "Show People" }
5{ "title" : "Berkeley Square" }
6{ "title" : "Folies Bergère de Paris" }
7{ "title" : "Here Comes Mr. Jordan" }
8{ "title" : "Cat People" }
9{ "title" : "People on the Alps" }
10{ "title" : "The Gang's All Here" }

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1{ "title" : "The Perils of Pauline" }
2{ "title" : "Les vampires" }
3{ "title" : "The Saphead" }
4{ "title" : "The Four Horsemen of the Apocalypse" }
5{ "title" : "He Who Gets Slapped" }
6{ "title" : "The Phantom of the Opera" }
7{ "title" : "Show People" }
8{ "title" : "The Blood of a Poet" }
9{ "title" : "The 3 Penny Opera" }
10{ "title" : "Shanghai Express" }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1[{title The Perils of Pauline}]
2[{title The Blood of a Poet}]
3[{title The Private Life of Henry VIII.}]
4[{title The Private Life of Don Juan}]
5[{title The Prisoner of Shark Island}]
6[{title The Prince and the Pauper}]
7[{title The Prisoner of Zenda}]
8[{title Dance Program}]
9[{title The Pied Piper}]
10[{title Prelude to War}]

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1[{title Where Are My Children?}]
2[{title The Four Horsemen of the Apocalypse}]
3[{title The Hunchback of Notre Dame}]
4[{title Show People}]
5[{title Berkeley Square}]
6[{title Folies Bergère de Paris}]
7[{title Here Comes Mr. Jordan}]
8[{title Cat People}]
9[{title People on the Alps}]
10[{title The Gang's All Here}]

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1[{title The Perils of Pauline}]
2[{title Les vampires}]
3[{title The Saphead}]
4[{title The Four Horsemen of the Apocalypse}]
5[{title He Who Gets Slapped}]
6[{title The Phantom of the Opera}]
7[{title Show People}]
8[{title The Blood of a Poet}]
9[{title The 3 Penny Opera}]
10[{title Shanghai Express}]

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1{"title": "The Perils of Pauline"}
2{"title": "The Blood of a Poet"}
3{"title": "The Private Life of Henry VIII."}
4{"title": "The Private Life of Don Juan"}
5{"title": "The Prisoner of Shark Island"}
6{"title": "The Prince and the Pauper"}
7{"title": "The Prisoner of Zenda"}
8{"title": "Dance Program"}
9{"title": "The Pied Piper"}
10{'title': 'Prelude to War'}

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1{"title": "Where Are My Children?"}
2{"title": "The Four Horsemen of the Apocalypse"}
3{"title": "The Hunchback of Notre Dame"}
4{"title": "Show People"}
5{"title": "Berkeley Square"}
6{"title": "Folies Bergère de Paris"}
7{"title": "Here Comes Mr. Jordan"}
8{"title": "Cat People"}
9{"title": "People on the Alps"}
10{"title": "The Gang's All Here"}

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1{"title": "The Perils of Pauline"}
2{"title": "Les vampires"}
3{"title": "The Saphead"}
4{"title": "The Four Horsemen of the Apocalypse"}
5{"title": "He Who Gets Slapped"}
6{"title": "The Phantom of the Opera"}
7{"title": "Show People"}
8{"title": "The Blood of a Poet"}
9{"title": "The 3 Penny Opera"}
10{"title": "Shanghai Express"}

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1Document{{title=The Perils of Pauline}}
2Document{{title=The Private Life of Henry VIII.}}
3Document{{title=Prelude to War}}
4Document{{title=Sitting Pretty}}
5Document{{title=The Prisoner}}
6Document{{title=Chi lavora è perduto (In capo al mondo)}}
7Document{{title=Profound Desires of the Gods}}
8Document{{title=The Protagonists}}
9Document{{title=Property Is No Longer a Theft}}
10Document{{title=Premiya}}

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1Document{{title=The Four Horsemen of the Apocalypse}}
2Document{{title=Folies Bergère de Paris}}
3Document{{title=Mother Wore Tights}}
4Document{{title=El hombre sin rostro}}
5Document{{title=Il segno di Venere}}
6Document{{title=Creature from the Black Lagoon}}
7Document{{title=Susan Slept Here}}
8Document{{title=Tell Them Willie Boy Is Here}}
9Document{{title=Pilatus und andere - Ein Film fèr Karfreitag}}
10Document{{title=Watch Out, We're Mad}}

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1Document{{title=The Four Horsemen of the Apocalypse}}
2Document{{title=The Private Life of Henry VIII.}}
3Document{{title=David Copperfield}}
4Document{{title=The Prisoner of Zenda}}
5Document{{title=People on the Alps}}
6Document{{title=Prelude to War}}
7Document{{title=The Pride of the Yankees}}
8Document{{title=Phantom of the Opera}}
9Document{{title=The Curse of the Cat People}}
10Document{{title=The People Against O'Hara}}

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1{ title: 'The Perils of Pauline' }
2{ title: 'The Blood of a Poet' }
3{ title: 'The Private Life of Henry VIII.' }
4{ title: 'The Private Life of Don Juan' }
5{ title: 'The Prisoner of Shark Island' }
6{ title: 'The Prince and the Pauper' }
7{ title: 'The Prisoner of Zenda' }
8{ title: 'Dance Program' }
9{ title: 'The Pied Piper' }
10{ title: 'Prelude to War' }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1{ title: 'Where Are My Children?' }
2{ title: 'The Four Horsemen of the Apocalypse' }
3{ title: 'The Hunchback of Notre Dame' }
4{ title: 'Show People' }
5{ title: 'Berkeley Square' }
6{ title: 'Folies Bergère de Paris' }
7{ title: 'Here Comes Mr. Jordan' }
8{ title: 'Cat People' }
9{ title: 'People on the Alps' }
10{ title: "The Gang's All Here" }

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1{ title: 'The Perils of Pauline' }
2{ title: 'Les vampires' }
3{ title: 'The Saphead' }
4{ title: 'The Four Horsemen of the Apocalypse' }
5{ title: 'He Who Gets Slapped' }
6{ title: 'The Phantom of the Opera' }
7{ title: 'Show People' }
8{ title: 'The Blood of a Poet' }
9{ title: 'The 3 Penny Opera' }
10{ title: 'Shanghai Express' }

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

1{'title': 'The Perils of Pauline'}
2{'title': 'The Blood of a Poet'}
3{'title': 'The Private Life of Henry VIII.'}
4{'title': 'The Private Life of Don Juan'}
5{'title': 'The Prisoner of Shark Island'}
6{'title': 'The Prince and the Pauper'}
7{'title': 'The Prisoner of Zenda'}
8{'title': 'Dance Program'}
9{'title': 'The Pied Piper'}
10{'title': 'Prelude to War'}

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere e com o primeiro caractere constante no lado esquerdo da palavra em todos os títulos.

1{'title': 'Where Are My Children?'}
2{'title': 'The Four Horsemen of the Apocalypse'}
3{'title': 'The Hunchback of Notre Dame'}
4{'title': 'Show People'}
5{'title': 'Berkeley Square'}
6{'title': 'Folies Bergère de Paris'}
7{'title': 'Here Comes Mr. Jordan'}
8{'title': 'Cat People'}
9{'title': 'People on the Alps'}
10{'title': "The Gang's All Here"}

Esses resultados mostram as palavras previstas para a string da query com uma modificação de caractere e com o primeiro caractere constante no lado direito da palavra em todos os títulos.

1{'title': 'The Perils of Pauline'}
2{'title': 'Les vampires'}
3{'title': 'The Saphead'}
4{'title': 'The Four Horsemen of the Apocalypse'}
5{'title': 'He Who Gets Slapped'}
6{'title': 'The Phantom of the Opera'}
7{'title': 'Show People'}
8{'title': 'The Blood of a Poet'}
9{'title': 'The 3 Penny Opera'}
10{'title': 'Shanghai Express'}

Esses resultados mostram as palavras previstas para a string de query com uma modificação de caractere em diferentes posições nas palavras nos títulos.

As seguintes queries demonstram como pesquisar os campos especificados para uma palavra ou frase que contém a sequência de caracteres que você especifica com sua query.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1[
2 {
3 "$search": {
4 "index": "default",
5 "autocomplete": {
6 "path": "plot",
7 "query": "new purchase",
8 "tokenOrder": "any",
9 "fuzzy": {
10 "maxEdits": 2,
11 "prefixLength": 1,
12 "maxExpansions": 256
13 }
14 },
15 "highlight": {
16 "path": "plot"
17 }
18 }
19 }
20]
SCORE: 3 _id: "573a13a4f29313caabd112f0"
A divorced woman and her diabetic daughter take refuge in their newly-purchased house's safe room, when three men break-in, searching for a missing fortune.
Matching fields: plot
SCORE: 3 _id: "573a13d1f29313caabd8e209"
A lonely writer develops an unlikely relationship with his newly purchased operating system that's designed to meet his every need.
Matching fields: plot
SCORE: 2 _id: "573a13bef29313caabd5b62d"
Set in the near future when artificial organs can be bought on credit, it revolves around a man who struggles to make the payments on a heart he has purchased. He must
Matching fields: plot
SCORE: 2 _id: "573a13b3f29313caabd3c91e"
He is "purchased" by a wealthy television producer and taken to a desolate island where he must fight to the death against nine other condemned killers from all corners of the world, with freedom going to the sole survivor.
Matching fields: plot
SCORE: 2 _id: "573a1398f29313caabceb931"
A country boy becomes the head of a gang through the purchase of some lucky roses from an old lady.
Matching fields: plot, plot
SCORE: 1 _id: "573a13a7f29313caabd1b5ab"
An illegal Nigerian immigrant discovers the unpalatable side of London life.
Matching fields: plot
SCORE: 1 _id: "573a13a7f29313caabd1b5c0"
A young dropout falls in love with a nightclub dancer...
Matching fields: plot
SCORE: 1 _id: "573a13a7f29313caabd1b62f"
In 1990, to protect his fragile mother from a fatal shock after a long coma, a young man must keep her from learning that her beloved nation of East Germany as she knew it has disappeared.
Matching fields: plot
SCORE: 1 _id: "573a13a7f29313caabd1b6af"
Gadget once again has to fight his arch nemesis, Claw.
Matching fields: plot

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1db.movies.aggregate([
2 {
3 "$search": {
4 "index": "default",
5 "autocomplete": {
6 "path": "plot",
7 "query": "new purchase",
8 "tokenOrder": "any",
9 "fuzzy": {
10 "maxEdits": 2,
11 "prefixLength": 1,
12 "maxExpansions": 256
13 }
14 },
15 "highlight": {
16 "path": "plot"
17 }
18 }
19 },
20 {
21 "$limit": 5
22 },
23 {
24 "$project": {
25 "_id": 0,
26 "title": 1,
27 "plot": 1,
28 "highlights": { "$meta": "searchHighlights" }
29 }
30 }
31])
[
{
plot: "A divorced woman and her diabetic daughter take refuge in their newly-purchased house's safe room, when three men break-in, searching for a missing fortune.",
title: 'Panic Room',
highlights: [
{
score: 4.364492893218994,
path: 'plot',
texts: [
{
value: 'A divorced woman and her diabetic daughter take refuge in their ',
type: 'text'
},
{ value: "newly-purchased house's safe", type: 'hit' },
{
value: ' room, when three men break-in, searching for a missing fortune.',
type: 'text'
}
]
}
]
},
{
plot: "A lonely writer develops an unlikely relationship with his newly purchased operating system that's designed to meet his every need.",
title: 'Her',
highlights: [
{
score: 4.198050022125244,
path: 'plot',
texts: [
{
value: 'A lonely writer develops an unlikely relationship with his ',
type: 'text'
},
{ value: 'newly purchased operating system', type: 'hit' },
{
value: " that's designed to meet his every ",
type: 'text'
},
{ value: 'need', type: 'hit' },
{ value: '.', type: 'text' }
]
}
]
},
{
plot: "Set in the near future when artificial organs can be bought on credit, it revolves around a man who struggles to make the payments on a heart he has purchased. He must therefore go on the run before said ticker is repossessed.",
title: 'Repo Men',
highlights: [
{
score: 2.6448397636413574,
path: 'plot',
texts: [
{ value: 'Set in the ', type: 'text' },
{ value: 'near future when', type: 'hit' },
{ value: ' artificial organs can be bought on credit, it revolves around a man who struggles to make the payments on a heart he has ', type: 'text' },
{ value: 'purchased. He must', type: 'hit' }
]
}
]
},
{
plot: 'A psychologically troubled novelty supplier is nudged towards a romance with an English woman, all the while being extorted by a phone-sex line run by a crooked mattress salesman, and purchasing stunning amounts of pudding.',
title: 'Punch-Drunk Love',
highlights: [
{
score: 1.2451990842819214,
path: 'plot',
texts: [
{ value: 'A psychologically troubled ', type: 'text' },
{ value: 'novelty supplier is', type: 'hit' },
{ value: ' ', type: 'text' },
{ value: 'nudged towards a', type: 'hit' },
{
value: ' romance with an English woman, all the while being extorted by a phone-sex line run by a crooked mattress salesman, and ',
type: 'text'
},
{ value: 'purchasing stunning amounts', type: 'hit' },
{ value: ' of pudding.', type: 'text' }
]
}
]
},
{
plot: 'Jack Conrad is awaiting the death penalty in a corrupt Central American prison. He is "purchased" by a wealthy television producer and taken to a desolate island where he must fight to the death against nine other condemned killers from all corners of the world, with freedom going to the sole survivor.',
title: 'The Condemned',
highlights: [
{
score: 2.94378924369812,
path: 'plot',
texts: [
{ value: 'He is "', type: 'text' },
{ value: 'purchased" by a', type: 'hit' },
{
value: ' wealthy television producer and taken to a desolate island where he must fight to the death against ',
type: 'text'
},
{ value: 'nine other condemned', type: 'hit' },
{
value: ' killers from all corners of the world, with freedom going to the sole survivor.',
type: 'text'
}
]
}
]
}
]

A consulta seguinte usa o operador para consultar o campo plot da coleção sample_mflix.movies. A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados

  • Estágio $project para excluir todos os campos, exceto title e plot.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

estágio do pipeline
Query

$search

{
"index": "default",
"autocomplete": {
"path": "plot",
"query": "new purchase",
"tokenOrder": "any",
"fuzzy": {
"maxEdits": 2,
"prefixLength": 1,
"maxExpansions": 256
}
},
"highlight": {
"path": "plot"
}
}

$limit

5

$project

{
"_id": 0,
"title": 1,
"plot": 1,
"highlights": { "$meta": "searchHighlights" }
}

Se você habilitou o Auto Preview, o MongoDB Compass exibe os seguintes documentos ao lado da etapa de pipeline do $project:

1[
2 {
3 plot: "A divorced woman and her diabetic daughter take refuge in their newly-purchased house's safe room, when three men break-in, searching for a missing fortune.",
4 title: 'Panic Room',
5 highlights: [
6 {
7 score: 4.364492893218994,
8 path: 'plot',
9 texts: [
10 {
11 value: 'A divorced woman and her diabetic daughter take refuge in their ',
12 type: 'text'
13 },
14 { value: "newly-purchased house's safe", type: 'hit' },
15 {
16 value: ' room, when three men break-in, searching for a missing fortune.',
17 type: 'text'
18 }
19 ]
20 }
21 ]
22 },
23 {
24 plot: "A lonely writer develops an unlikely relationship with his newly purchased operating system that's designed to meet his every need.",
25 title: 'Her',
26 highlights: [
27 {
28 score: 4.198050022125244,
29 path: 'plot',
30 texts: [
31 {
32 value: 'A lonely writer develops an unlikely relationship with his ',
33 type: 'text'
34 },
35 { value: 'newly purchased operating system', type: 'hit' },
36 {
37 value: " that's designed to meet his every ",
38 type: 'text'
39 },
40 { value: 'need', type: 'hit' },
41 { value: '.', type: 'text' }
42 ]
43 }
44 ]
45 },
46 {
47 plot: "Set in the near future when artificial organs can be bought on credit, it revolves around a man who struggles to make the payments on a heart he has purchased. He must therefore go on the run before said ticker is repossessed.",
48 title: 'Repo Men',
49 highlights: [
50 {
51 score: 2.6448397636413574,
52 path: 'plot',
53 texts: [
54 { value: 'Set in the ', type: 'text' },
55 { value: 'near future when', type: 'hit' },
56 { value: ' artificial organs can be bought on credit, it revolves around a man who struggles to make the payments on a heart he has ', type: 'text' },
57 { value: 'purchased. He must', type: 'hit' }
58 ]
59 }
60 ]
61 },
62 {
63 plot: 'A psychologically troubled novelty supplier is nudged towards a romance with an English woman, all the while being extorted by a phone-sex line run by a crooked mattress salesman, and purchasing stunning amounts of pudding.',
64 title: 'Punch-Drunk Love',
65 highlights: [
66 {
67 score: 1.2451990842819214,
68 path: 'plot',
69 texts: [
70 { value: 'A psychologically troubled ', type: 'text' },
71 { value: 'novelty supplier is', type: 'hit' },
72 { value: ' ', type: 'text' },
73 { value: 'nudged towards a', type: 'hit' },
74 {
75 value: ' romance with an English woman, all the while being extorted by a phone-sex line run by a crooked mattress salesman, and ',
76 type: 'text'
77 },
78 { value: 'purchasing stunning amounts', type: 'hit' },
79 { value: ' of pudding.', type: 'text' }
80 ]
81 }
82 ]
83 },
84 {
85 plot: 'Jack Conrad is awaiting the death penalty in a corrupt Central American prison. He is "purchased" by a wealthy television producer and taken to a desolate island where he must fight to the death against nine other condemned killers from all corners of the world, with freedom going to the sole survivor.',
86 title: 'The Condemned',
87 highlights: [
88 {
89 score: 2.94378924369812,
90 path: 'plot',
91 texts: [
92 { value: 'He is "', type: 'text' },
93 { value: 'purchased" by a', type: 'hit' },
94 {
95 value: ' wealthy television producer and taken to a desolate island where he must fight to the death against ',
96 type: 'text'
97 },
98 { value: 'nine other condemned', type: 'hit' },
99 {
100 value: ' killers from all corners of the world, with freedom going to the sole survivor.',
101 type: 'text'
102 }
103 ]
104 }
105 ]
106 }
107]

O exemplo de código executa as seguintes tarefas:

  • Importa pacotes e dependências do mongodb .

  • Estabelece uma ligação ao seu cluster Atlas.

  • Executa uma query que usa:

    • $search estágio para procurar um termo

    • $limit estágio para limitar a saída a 5 resultados

    • $project estágio para excluir todos os campos, exceto title
      e a plot
  • Itera sobre o cursor para imprimir os documentos que correspondem à consulta.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1using MongoDB.Bson;
2using MongoDB.Bson.Serialization.Attributes;
3using MongoDB.Bson.Serialization.Conventions;
4using MongoDB.Driver;
5using MongoDB.Driver.Search;
6
7public class PartialAutocomplete
8{
9 private const string MongoConnectionString = "<connection-string>";
10
11 public static void Main(string[] args) {
12 // allow automapping of the camelCase database fields to our MovieDocument
13 var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
14 ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
15
16 // connect to your Atlas cluster
17 var mongoClient = new MongoClient(MongoConnectionString);
18 var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
19 var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
20
21 // define fuzzy options
22 SearchFuzzyOptions fuzzyOptions = new SearchFuzzyOptions()
23 {
24 MaxEdits = 2,
25 PrefixLength = 1,
26 MaxExpansions = 256
27 };
28
29 // define and run pipeline
30 var results = moviesCollection.Aggregate()
31 .Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Plot, "new purchase", SearchAutocompleteTokenOrder.Any, fuzzy: fuzzyOptions), new SearchHighlightOptions<MovieDocument>(movie => movie.Plot),
32 indexName: "default")
33 .Project<MovieDocument>(Builders<MovieDocument>.Projection
34 .Include(movie => movie.Plot)
35 .Include(movie => movie.Title)
36 .Exclude(movie => movie.Id)
37 .MetaSearchHighlights("highlights"))
38 .Limit(5)
39 .ToList();
40
41 // print results
42 foreach (var movie in results) {
43 Console.WriteLine(movie.ToJson());
44 }
45 }
46}
47
48[BsonIgnoreExtraElements]
49public class MovieDocument {
50 [BsonIgnoreIfDefault]
51 public ObjectId Id { get; set; }
52 public string Plot { get; set; }
53 public string Title { get; set; }
54 [BsonElement("highlights")]
55 public List<SearchHighlight> Highlights { get; set; }
56}

A consulta seguinte usa o operador para consultar o campo plot da coleção sample_mflix.movies. A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados

  • Estágio $project para excluir todos os campos, exceto title e plot.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1package main
2
3import (
4 "context"
5 "fmt"
6 "time"
7
8 "go.mongodb.org/mongo-driver/v2/bson"
9 "go.mongodb.org/mongo-driver/v2/mongo"
10 "go.mongodb.org/mongo-driver/v2/mongo/options"
11)
12
13// define structure of movies collection
14type Movie struct {
15 title string
16 plot string
17}
18
19func main() {
20 var err error
21 // connect to the Atlas cluster
22 ctx := context.Background()
23 client, err := mongo.Connect(options.Client().SetTimeout(5 * time.Second).ApplyURI("<connection-string>"))
24 if err != nil {
25 panic(err)
26 }
27 defer client.Disconnect(ctx)
28 // set namespace
29 collection := client.Database("sample_mflix").Collection("movies")
30 // define pipeline
31 searchStage := bson.D{{Key: "$search", Value: bson.M{
32 "index": "default",
33 "autocomplete": bson.M{
34 "path": "plot", "query": "new purchase", "tokenOrder": "any", "fuzzy": bson.M{
35 "maxEdits": 2, "prefixLength": 1, "maxExpansions": 256},
36 },
37 "highlight": bson.D{
38 {Key: "path", Value: "plot"},
39 },
40 }}}
41 limitStage := bson.D{{Key: "$limit", Value: 5}}
42 projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "plot", Value: 1}, {Key: "_id", Value: 0}, {Key: "highlights", Value: bson.D{{Key: "$meta", Value: "searchHighlights"}}}}}}
43 // run pipeline
44 cursor, err := collection.Aggregate(ctx, mongo.Pipeline{searchStage, limitStage, projectStage})
45 if err != nil {
46 panic(err)
47 }
48 // print results
49 var results []Movie
50 if err = cursor.All(context.TODO(), &results); err != nil {
51 panic(err)
52 }
53 for _, result := range results {
54 fmt.Println(result)
55 }
56}

O exemplo de código executa as seguintes tarefas:

  • Importa pacotes e dependências do mongodb .

  • Estabelece uma ligação ao seu cluster Atlas.

  • Executa uma query que usa:

    • $search estágio para procurar um termo

    • $limit estágio para limitar a saída a 5 resultados

    • Estágio $project para excluir todos os campos, exceto title e plot.

  • Itera sobre o cursor para imprimir os documentos que correspondem à consulta.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1import java.util.Arrays;
2import static com.mongodb.client.model.Aggregates.limit;
3import static com.mongodb.client.model.Aggregates.project;
4import static com.mongodb.client.model.Projections.excludeId;
5import static com.mongodb.client.model.Projections.fields;
6import static com.mongodb.client.model.Projections.include;
7import com.mongodb.client.MongoClient;
8import com.mongodb.client.MongoClients;
9import com.mongodb.client.MongoCollection;
10import com.mongodb.client.MongoDatabase;
11import org.bson.Document;
12
13public class PartialMatchQuery {
14 public static void main( String[] args ) {
15
16 // define query
17 Document agg = new Document("$search",
18 new Document ("index", "default")
19 .append("autocomplete",
20 new Document("path", "plot")
21 .append("query", "new purchase")
22 .append("tokenOrder", "any")
23 .append("fuzzy",
24 new Document("maxEdits", 2)
25 .append("prefixLength", 1)
26 .append("maxExpansions", 256))));
27
28 // specify connection
29 String uri = "<connection-string>";
30
31 // establish connection and set namespace
32 try (MongoClient mongoClient = MongoClients.create(uri)) {
33 MongoDatabase database = mongoClient.getDatabase("sample_mflix");
34 MongoCollection<Document> collection = database.getCollection("movies");
35 // run query and print results
36 collection.aggregate(Arrays.asList(agg,
37 limit(5),
38 project(fields(excludeId(), include("title", "plot")))))
39 .forEach(doc -> System.out.println(doc.toJson()));
40 }
41 }
42}

O exemplo de código executa as seguintes tarefas:

  • Importa pacotes e dependências do mongodb .

  • Estabelece uma ligação ao seu cluster Atlas.

  • Executa uma query que usa:

    • $search estágio para procurar um termo

    • $limit estágio para limitar a saída a 5 resultados

    • Estágio $project para excluir todos os campos, exceto title e plot.

  • Imprime os documentos que correspondem à query da instância AggregateFlow.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1import com.mongodb.client.model.Aggregates.limit
2import com.mongodb.client.model.Aggregates.project
3import com.mongodb.client.model.Projections.*
4import com.mongodb.kotlin.client.coroutine.MongoClient
5import kotlinx.coroutines.runBlocking
6import org.bson.Document
7
8fun main() {
9 // establish connection and set namespace
10 val uri = "<connection-string>"
11 val mongoClient = MongoClient.create(uri)
12 val database = mongoClient.getDatabase("sample_mflix")
13 val collection = database.getCollection<Document>("movies")
14
15 runBlocking {
16 // define query
17 val agg = Document(
18 "\$search",
19 Document("index", "default")
20 .append(
21 "autocomplete",
22 Document("path", "plot")
23 .append("query", "new purchase")
24 .append("tokenOrder", "any")
25 .append(
26 "fuzzy",
27 Document("maxEdits", 2)
28 .append("prefixLength", 1)
29 .append("maxExpansions", 256)
30 )
31 )
32 )
33
34 // run query and print results
35 val resultsFlow = collection.aggregate<Document>(
36 listOf(
37 agg,
38 limit(5),
39 project(fields(excludeId(), include("title", "plot")))
40 )
41 )
42 resultsFlow.collect { println(it) }
43 }
44 mongoClient.close()
45}

O exemplo de código executa as seguintes tarefas:

  • Importa mongodb, o driver do Node.js da MongoDB.

  • Cria uma instância da classe MongoClient para estabelecer uma conexão com seu cluster do Atlas.

  • Executa uma query que usa:

    • $search estágio para procurar um termo

    • $limit estágio para limitar a saída a 5 resultados

    • Estágio $project para excluir todos os campos, exceto title e plot.

  • Itera sobre o cursor para imprimir os documentos que correspondem à consulta.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1const MongoClient = require("mongodb").MongoClient;
2const assert = require("assert");
3
4const agg = [
5 {
6 '$search': {
7 'index': 'default',
8 'autocomplete': {
9 'path': 'plot',
10 'query': 'new purchase',
11 'tokenOrder': 'any',
12 'fuzzy': {
13 'maxEdits': 2,
14 'prefixLength': 1,
15 'maxExpansions': 256
16 }
17 },
18 'highlight': {
19 'path': 'plot'
20 }
21 }
22 }, {
23 '$limit': 5
24 }, {
25 '$project': {
26 '_id': 0,
27 'title': 1,
28 'plot': 1,
29 'highlights': {
30 '$meta': 'searchHighlights'
31 }
32 }
33 }
34];
35
36MongoClient.connect(
37 "<connection-string>",
38 { useNewUrlParser: true, useUnifiedTopology: true },
39 async function (connectErr, client) {
40 assert.equal(null, connectErr);
41 const coll = client.db("sample_mflix").collection("movies");
42 let cursor = await coll.aggregate(agg);
43 await cursor.forEach((doc) => console.log(doc));
44 client.close();
45 }
46);

O seguinte exemplo de código:

  • Importa pymongo, o driver Python do MongoDB e o módulo dns, que é necessário para conectar pymongo a Atlas usando uma string de conexão da lista de sementes de DNS.

  • Cria uma instância da classe MongoClient para estabelecer uma conexão com seu cluster do Atlas.

  • Executa uma query que usa:

    • $search estágio para procurar um termo

    • $limit estágio para limitar a saída a 5 resultados

    • Estágio $project para excluir todos os campos, exceto title e plot.

  • Itera sobre o cursor para imprimir os documentos que correspondem à consulta.

A consulta permite o seguinte para corresponder a string de consulta new purchase a uma palavra no campo:

  • Permite que as palavras new e purchase apareçam em qualquer lugar no campo plot.

  • Permite que a variação de dois caracteres na string da query corresponda a query a uma palavra no campo, mas não permite que o primeiro caractere da string de consulta seja alterado.

  • Permite considerar até duzentos e cinquenta e seis termos semelhantes.

1import pymongo
2import dns
3
4client = pymongo.MongoClient('<connection-string>')
5result = client['sample_mflix']['movies'].aggregate([
6 {
7 '$search': {
8 'index': 'default',
9 'autocomplete': {
10 'path': 'plot',
11 'query': 'new purchase',
12 'tokenOrder': 'any',
13 'fuzzy': {
14 'maxEdits': 2,
15 'prefixLength': 1,
16 'maxExpansions': 256
17 }
18 },
19 'highlight': {
20 'path': 'plot'
21 }
22 }
23 }, {
24 '$limit': 5
25 }, {
26 '$project': {
27 '_id': 0,
28 'title': 1,
29 'plot': 1,
30 'highlights': {
31 '$meta': 'searchHighlights'
32 }
33 }
34 }
35])
36
37for i in result:
38 print(i)

As queries a seguir procuram filmes com os caracteres men with no campo title. As queries também usam o campo tokenOrder, que especifica se a query pesquisa tokens na ordem any ou na ordem sequential.

Você pode pesquisar no campo title títulos de filmes que começam com um termo ou frase indexando o campo usando o analisador de palavras-chave.

Você deve indexar o campo usando o analisador de palavras-chave com a estratégia de tokenização edgeGram para recuperar resultados para a seguinte query de amostra. Se você indexar o campo usando qualquer outro analisador integrado, o Atlas Search não retornará nenhum resultado porque ele não indexa seu campo de texto como um único termo. A estratégia de tokenização edgeGram cria tokens começando no lado esquerdo das palavras.

Você também deve definir foldDiacritics como true para retornar resultados independentes de caso. Se você definir foldDiacritics como false, as letras maiúsculas e minúsculas do termo da query deverão corresponder exatamente às letras maiúsculas e minúsculas no documento para que o Atlas Search retorne quaisquer resultados.

{
"mappings": {
"dynamic": false,
"fields": {
"title": [
{
"type": "stringFacet"
},
{
"type": "string"
},
{
"foldDiacritics": true,
"maxGrams": 7,
"minGrams": 3,
"analyzer": "lucene.keyword",
"tokenization": "edgeGram",
"type": "autocomplete"
}]
}
}
}

A query a seguir pesquisa títulos de filmes que comecem com o termo Fast &.

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
autocomplete: {
path: "title",
query: "Fast &",
tokenOrder: "sequential"
}
}
}
]

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

db.movies.aggregate([
{
$search: {
"autocomplete": {
"query": "Fast &",
"path": "title",
"tokenOrder": "sequential"
}
}
},
{
$project: {
"_id": 0,
"title": 1
}
},
{
$limit: 4
}
])

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"autocomplete": {
"query": "Fast &",
"path": "title",
"tokenOrder": "sequential"
}
}

$limit

4

$project

{
"_id": 0,
"title": 1,
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteTokenOrderSequentialStartsWithExample
{
private const string MongoConnectionString = "<connection-string>";
public static void Main(string[] args)
{
// allow automapping of the camelCase database fields to our MovieDocument
var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
// connect to your Atlas cluster
var mongoClient = new MongoClient(MongoConnectionString);
var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
// define and run pipeline
var results = moviesCollection.Aggregate()
.Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "Fast &", SearchAutocompleteTokenOrder.Sequential))
.Project<MovieDocument>(Builders<MovieDocument>.Projection
.Include(movie => movie.Title)
.Exclude(movie => movie.Id))
.Limit(4)
.ToList();
// print results
foreach (var movie in results)
{
Console.WriteLine(movie.ToJson());
}
}
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
[BsonIgnoreIfDefault]
public ObjectId Id { get; set; }
public string Title { get; set; }
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

package main
import (
"context"
"fmt"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"go.mongodb.org/mongo-driver/v2/mongo/options"
)
func main() {
// connect to your Atlas cluster
client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
if err != nil {
panic(err)
}
defer client.Disconnect(context.TODO())
// set namespace
collection := client.Database("sample_mflix").Collection("movies")
// define pipeline stages
searchStage := bson.D{{Key: "$search", Value: bson.D{{Key: "autocomplete", Value: bson.D{{Key: "query", Value: "Fast &"}, {Key: "path", Value: "title"}, {Key: "tokenOrder", Value: "sequential"}}}}}}
limitStage := bson.D{{Key: "$limit", Value: 4}}
projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "_id", Value: 0}}}}
// run pipeline
cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
if err != nil {
panic(err)
}
// print results
var results []bson.D
if err = cursor.All(context.TODO(), &results); err != nil {
panic(err)
}
for _, result := range results {
fmt.Println(result)
}
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteStartsWith {
public static void main(String[] args) {
// connect to your Atlas cluster
String uri = "<connection-string>";
try (MongoClient mongoClient = MongoClients.create(uri)) {
// set namespace
MongoDatabase database = mongoClient.getDatabase("sample_mflix");
MongoCollection<Document> collection = database.getCollection("movies");
// define pipeline
Document agg = new Document("$search", new Document("autocomplete", new Document("query", "Fast &").append("path", "title").append("tokenOrder", "sequential")));
// run pipeline and print results
collection.aggregate(Arrays.asList(agg,
limit(4),
project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
}
}
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
val uri = "<connection-string>"
val mongoClient = MongoClient.create(uri)
val database = mongoClient.getDatabase("sample_mflix")
val collection = database.getCollection<Document>("movies")
runBlocking {
val agg = Document(
"\$search",
Document(
"autocomplete",
Document("query", "Fast &")
.append("path", "title")
.append("tokenOrder", "sequential")
)
)
val resultsFlow = collection.aggregate<Document>(
listOf(
agg,
limit(4),
project(fields(excludeId(), include("title")))
)
)
resultsFlow.collect { println(it) }
}
mongoClient.close()
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
"<connection-string>";
const client = new MongoClient(uri);
async function run() {
try {
await client.connect();
// set namespace
const database = client.db("sample_mflix");
const coll = database.collection("movies");
// define pipeline
const agg = [
{$search: {autocomplete: {query: "Fast &", path: "title", tokenOrder: "sequential"}}},
{$limit: 4},
{$project: {_id: 0,title: 1}}
];
// run pipeline
const result = await coll.aggregate(agg);
// print results
await result.forEach((doc) => console.log(doc));
} finally {
await client.close();
}
}
run().catch(console.dir);

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
{"$search": {"autocomplete": {"query": "men with", "path": "title", "tokenOrder": "sequential"}}},
{"$limit": 4},
{"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
print(i)
SCORE: 10.042893409729004 _id: “573a13bdf29313caabd5929f”
fullplot: "Heading back to the streets where it all began, two men rejoin two wom…"
imdb: Object
year: 2009
...
title: "Fast & Furious"
SCORE: 9.515419006347656 _id: “573a13d3f29313caabd95cc5”
fullplot: "Since Dom (Diesel) and Brian's (Walker) Rio heist toppled a kingpin's …"
imdb: Object
year: 2013
...
title "Fast & Furious 6"

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1{ title: 'Fast & Furious' },
2{ title: 'Fast & Furious 6' }
1{ title: 'Fast & Furious' },
2{ title: 'Fast & Furious 6' }
1{ "title" : "Fast & Furious" }
2{ "title" : "Fast & Furious 6" }
1 [{title Fast & Furious}]
2 [{title Fast & Furious 6}]
1{"title": "Fast & Furious"}
2{"title": "Fast & Furious 6"}
1Document{{title=Fast & Furious}}
2Document{{title=Fast & Furious 6}}
1{ title: 'Fast & Furious' }
2{ title: 'Fast & Furious 6' }
1{'title': 'Fast & Furious'}
2{'title': 'Fast & Furious 6'}

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
autocomplete: {
path: "title",
query: "men with",
tokenOrder: "any"
}
}
}
]

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

db.movies.aggregate([
{
$search: {
"autocomplete": {
"path": "title",
"query": "men with",
"tokenOrder": "any"
}
}
},
{
$limit: 4
},
{
$project: {
"_id": 0,
"title": 1
}
}
])

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"autocomplete": {
"query": "men with",
"path": "title",
"tokenOrder": "any"
}
}

$limit

4

$project

{
"_id": 0,
"title": 1,
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteTokenOrderAnyExample
{
private const string MongoConnectionString = "<connection-string>";
public static void Main(string[] args)
{
// allow automapping of the camelCase database fields to our MovieDocument
var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
// connect to your Atlas cluster
var mongoClient = new MongoClient(MongoConnectionString);
var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
// define and run pipeline
var results = moviesCollection.Aggregate()
.Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "men with", SearchAutocompleteTokenOrder.Any))
.Project<MovieDocument>(Builders<MovieDocument>.Projection
.Include(movie => movie.Title)
.Exclude(movie => movie.Id))
.Limit(4)
.ToList();
// print results
foreach (var movie in results)
{
Console.WriteLine(movie.ToJson());
}
}
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
[BsonIgnoreIfDefault]
public ObjectId Id { get; set; }
public string Title { get; set; }
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

package main
import (
"context"
"fmt"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"go.mongodb.org/mongo-driver/v2/mongo/options"
)
func main() {
// connect to your Atlas cluster
client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
if err != nil {
panic(err)
}
defer client.Disconnect(context.TODO())
// set namespace
collection := client.Database("sample_mflix").Collection("movies")
// define pipeline stages
searchStage := bson.D{{Key: "$search", Value: bson.D{{Key: "autocomplete", Value: bson.D{{Key: "query", Value: "men with"}, {Key: "path", Value: "title"}, {Key: "tokenOrder", Value: "any"}}}}}}
limitStage := bson.D{{Key: "$limit", Value: 4}}
projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "_id", Value: 0}}}}
// run pipeline
cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
if err != nil {
panic(err)
}
// print results
var results []bson.D
if err = cursor.All(context.TODO(), &results); err != nil {
panic(err)
}
for _, result := range results {
fmt.Println(result)
}
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteTokenAny {
public static void main(String[] args) {
// connect to your Atlas cluster
String uri = "<connection-string>";
try (MongoClient mongoClient = MongoClients.create(uri)) {
// set namespace
MongoDatabase database = mongoClient.getDatabase("sample_mflix");
MongoCollection<Document> collection = database.getCollection("movies");
// define pipeline
Document agg = new Document("$search", new Document("autocomplete", new Document("query", "men with").append("path", "title").append("tokenOrder", "any")));
// run pipeline and print results
collection.aggregate(Arrays.asList(agg,
limit(4),
project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
}
}
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
val uri = "<connection-string>"
val mongoClient = MongoClient.create(uri)
val database = mongoClient.getDatabase("sample_mflix")
val collection = database.getCollection<Document>("movies")
runBlocking {
val agg = Document(
"\$search",
Document("autocomplete", Document("query", "men with")
.append("path", "title")
.append("tokenOrder", "any"))
)
val resultsFlow = collection.aggregate<Document>(
listOf(
agg,
limit(4),
project(fields(excludeId(), include("title")))
)
)
resultsFlow.collect { println(it) }
}
mongoClient.close()
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
"<connection-string>";
const client = new MongoClient(uri);
async function run() {
try {
await client.connect();
// set namespace
const database = client.db("sample_mflix");
const coll = database.collection("movies");
// define pipeline
const agg = [
{$search: {autocomplete: {query: "men with", path: "title", tokenOrder: "any"}}},
{$limit: 4},
{$project: {_id: 0,title: 1}}
];
// run pipeline
const result = await coll.aggregate(agg);
// print results
await result.forEach((doc) => console.log(doc));
} finally {
await client.close();
}
}
run().catch(console.dir);

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
{"$search": {"autocomplete": {"query": "men with", "path": "title", "tokenOrder": "any"}}},
{"$limit": 4},
{"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
print(i)

Observação

Seus resultados podem variar

O Atlas Search retorna resultados diferentes, dependendo da estratégia de tokenização configurada na definição do índice para o tipo de preenchimento automático. Para saber mais, consulte Como indexar campos para preenchimento automático.

SCORE: 21.18158721923828 _id: “573a139af29313caabcf0b12”
plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
genres: Array
runtime: 127
...
title: "Men with Guns"
SCORE: 21.18158721923828 _id: “573a13a4f29313caabd1287f”
plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
genres: Array
runtime: 102
...
title: "Men with Brooms"
SCORE: 19.015962600708008 _id: “573a1391f29313caabcd93a3”
plot: "Navy divers clear the torpedo tube of a sunken submarine."
genres: Array
runtime: 77
...
title: "Men Without Women"
SCORE: 11.215812683105469 _id: “573a13b8f29313caabd4bcbf”
plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
genres: Array
runtime: 80
...
title: "Brief Interviews with Hideous Men"
SCORE: 10.668076515197754 _id: “573a13c9f29313caabd7ba99”
plot: "The women of a remote Latin American town are forced to pick up the pi…""
genres: Array
runtime: 87
...
title: "Without Men"
SCORE: 10.106664657592773 _id: “573a13c8f29313caabd77ab6”
plot: "Against the tumultuous backdrop of Iran's 1953 CIA-backed coup d'ètat,…"
genres: Array
runtime: 95
...
title: "Women Without Men"
SCORE: 7.458737373352051 _id: “573a1398f29313caabce9a19”
plot: "A man's wife leaves him to take up with an artist, so the man responds…"
genres: Array
runtime: 99
...
title: "Men..."
SCORE: 7.405402183532715 _id: “573a13f2f29313caabdde0b4”
plot: "Men and Chicken is a black comedy about two outcast brothers, who by g…"
genres: Array
runtime: 104
...
title: "Men & Chicken"
SCORE: 7.2005205154418945 _id: “573a1394f29313caabce06c3”
plot: "During the Korean War, a battle worn Lt. and his platoon behind enemy …"
genres: Array
runtime: 102
...
title: "Men in War"
SCORE: 7.2005205154418945 _id: “573a1399f29313caabcec167”
plot: "A mother of two sons finds life considerably difficult on her own afte…"
genres: Array
runtime: 115
...
title: "Men Don't Leave"
SCORE: 19.302995681762695 _id: “573a139af29313caabcf0b12”
plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
genres: Array
runtime: 127
...
title: "Men with Guns"
SCORE: 19.302995681762695 _id: “573a13a4f29313caabd1287f”
plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
genres: Array
runtime: 102
...
title: "Men with Brooms"
SCORE: 13.835155487060547 _id: “573a1399f29313caabcee64e”
plot: "A thief's son cons his father into spending more time with him."
genres: Array
runtime: 109
...
title: "Getting Even with Dad"
SCORE: 13.309324264526367 _id: “573a13cdf29313caabd844f5”
plot: "Since his beloved violin was broken, Nasser Ali Khan, one of the most …"
genres: Array
runtime: 93
...
title: "Chicken with Plums"
SCORE: 12.078420639038086 _id: “573a13b8f29313caabd4bcbf”
plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
genres: Array
runtime: 80
...
title: "Brief Interviews with Hideous Men"
SCORE: 10.180097579956055 _id: “573a13b2f29313caabd3ab9b”
fullplot: "A man runs into a woman at a wedding. They start to flirt and talk and…"
imdb: Object
year: 2005
...
title: "Conversations with Other Women"
SCORE: 7.147367477416992 _id: “573a1398f29313caabce9a19”
plot: "A man's wife leaves him to take up with an artist, so the man responds…"
genres: Array
runtime: 99
...
title: "Men..."
SCORE: 7.054648399353027 _id: “573a1394f29313caabcde7cc”
plot: "Paralized war vet tries to adjust to the world without the use of his …"
genres: Array
runtime: 85
...
title: "The Men"
SCORE: 7.054648399353027 _id: “573a1399f29313caabced53c”
plot: "Bitter about being double-crossed by the women he loved, (and with the…"
genres: Array
runtime: 105
...
title: "Simple Men"
SCORE: 7.054648399353027 _id: “573a139af29313caabcf0f51”
fullplot: "In a world where both Mutants and Humans fear each other, Marie, bette…"
imdb: Object
year: 2000
...
title: "X-Men"
SCORE: 16.18875503540039 _id: “573a1391f29313caabcd93a3”
plot: "Navy divers clear the torpedo tube of a sunken submarine."
genres: Array
runtime: 77
...
title: "Men Without Women"
SCORE: 15.995916366577148 _id: “573a139af29313caabcf0b12”
plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
genres: Array
runtime: 127
...
title: "Men with Guns"
SCORE: 15.995916366577148 _id: “573a13a4f29313caabd1287f”
plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
genres: Array
runtime: 102
...
title: "Men with Brooms"
SCORE: 15.642412185668945 _id: “573a13c8f29313caabd77ab6”
plot: "Against the tumultuous backdrop of Iran's 1953 CIA-backed coup d'ètat,…"
genres: Array
runtime: 95
...
title: "Women Without Men"
SCORE: 8.15120792388916 _id: “573a13b8f29313caabd4bcbf”
plot: "A graduate student (Nicholson) copes with a recent breakup by conducti…"
genres: Array
runtime: 80
...
title: "Brief Interviews with Hideous Men"
SCORE: 8.118724822998047 _id: “573a13b2f29313caabd3ab9b”
fullplot: "A man runs into a woman at a wedding. They start to flirt and talk and…"
imdb: Object
year: 2005
...
title: "Conversations with Other Women"
SCORE: 8.048237800598145 _id: “573a13a5f29313caabd138ca”
plot: "This documentary, first shown on the Turner Classic Movies cable chann…"
genres: Array
runtime: 56
...
title: "Without Lying Down: Frances Marion and the Power of Women in Hollywood"
SCORE: 7.620831489562988 _id: “573a13c9f29313caabd7ba99”
plot: "The women of a remote Latin American town are forced to pick up the pi…""
genres: Array
runtime: 87
...
title: "Without Men"
SCORE: 4.35431432723999 _id: “573a1393f29313caabcdcd9d”
plot: "A young Canadian nurse (Betsy) comes to the West Indies to care for Je…"
genres: Array
runtime: 69
...
title: "I Walked with a Zombie"
SCORE: 4.35431432723999 _id: “573a1393f29313caabcdd9c7”
plot: "Political intrigue and psychological drama run parallel. The queen is …"
genres: Array
runtime: 93
...
title: "The Eagle with Two Heads"

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
4{ title: 'Brief Interviews with Hideous Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
4{ title: 'Brief Interviews with Hideous Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Men Without Women" }
4{ "title" : "Brief Interviews with Hideous Men" }
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Getting Even with Dad" }
4{ "title" : "Chicken with Plums" }
1{ "title" : "Men Without Women" }
2{ "title" : "Men with Guns" }
3{ "title" : "Men with Brooms" }
4{ "title" : "Women Without Men" }
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Men Without Women}]
4[{title Brief Interviews with Hideous Men}]
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Getting Even with Dad}]
4[{title Chicken with Plums}]
1[{title Men Without Women}]
2[{title Men with Guns}]
3[{title Men with Brooms}]
4[{title Women Without Men}]
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Men Without Women"}
4{"title": "Brief Interviews with Hideous Men"}
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Getting Even with Dad"}
4{"title": "Chicken with Plums"}
1{"title": "Men Without Women"}
2{"title": "Men with Guns"}
3{"title": "Men with Brooms"}
4{"title": "Women Without Men"}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Men Without Women}}
4Document{{title=Brief Interviews with Hideous Men}}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Getting Even with Dad}}
4Document{{title=Chicken with Plums}}
1Document{{title=Men with Guns}}
2Document{{title=Men with Brooms}}
3Document{{title=Men Without Women}}
4Document{{title=Women Without Men}}
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
4{ title: 'Brief Interviews with Hideous Men' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Men Without Women'}
4{'title': 'Brief Interviews with Hideous Men'}
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Getting Even with Dad'}
4{'title': 'Chicken with Plums'}
1{'title': 'Men Without Women'}
2{'title': 'Men with Brooms'}
3{'title': 'Women Without Men'}
4{'title': 'Men with Guns'}

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
autocomplete: {
path: "title",
query: "men with",
tokenOrder: "sequential"
}
}
}
]

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

db.movies.aggregate([
{
$search: {
"autocomplete": {
"path": "title",
"query": "men with",
"tokenOrder": "sequential"
}
}
},
{
$limit: 4
},
{
$project: {
"_id": 0,
"title": 1
}
}
])

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"autocomplete": {
"query": "men with",
"path": "title",
"tokenOrder": "sequential"
}
}

$limit

4

$project

{
"_id": 0,
"title": 1,
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteTokenOrderSequentialSimpleExample
{
private const string MongoConnectionString = "<connection-string>";
public static void Main(string[] args)
{
// allow automapping of the camelCase database fields to our MovieDocument
var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
// connect to your Atlas cluster
var mongoClient = new MongoClient(MongoConnectionString);
var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
// define and run pipeline
var results = moviesCollection.Aggregate()
.Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "men with", SearchAutocompleteTokenOrder.Sequential))
.Project<MovieDocument>(Builders<MovieDocument>.Projection
.Include(movie => movie.Title)
.Exclude(movie => movie.Id))
.Limit(4)
.ToList();
// print results
foreach (var movie in results)
{
Console.WriteLine(movie.ToJson());
}
}
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
[BsonIgnoreIfDefault]
public ObjectId Id { get; set; }
public string Title { get; set; }
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

package main
import (
"context"
"fmt"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"go.mongodb.org/mongo-driver/v2/mongo/options"
)
func main() {
// connect to your Atlas cluster
client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
if err != nil {
panic(err)
}
defer client.Disconnect(context.TODO())
// set namespace
collection := client.Database("sample_mflix").Collection("movies")
// define pipeline stages
searchStage := bson.D{{Key: "$search", Value: bson.D{{Key: "autocomplete", Value: bson.D{{Key: "query", Value: "men with"}, {Key: "path", Value: "title"}, {Key: "tokenOrder", Value: "sequential"}}}}}}
limitStage := bson.D{{Key: "$limit", Value: 4}}
projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "_id", Value: 0}}}}
// run pipeline
cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
if err != nil {
panic(err)
}
// print results
var results []bson.D
if err = cursor.All(context.TODO(), &results); err != nil {
panic(err)
}
for _, result := range results {
fmt.Println(result)
}
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import static com.mongodb.client.model.Projections.excludeId;
import static com.mongodb.client.model.Projections.fields;
import static com.mongodb.client.model.Projections.include;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteTokenSequential {
public static void main(String[] args) {
// connect to your Atlas cluster
String uri = "<connection-string>";
try (MongoClient mongoClient = MongoClients.create(uri)) {
// set namespace
MongoDatabase database = mongoClient.getDatabase("sample_mflix");
MongoCollection<Document> collection = database.getCollection("movies");
// define pipeline
Document agg = new Document("$search", new Document("autocomplete", new Document("query", "men with").append("path", "title").append("tokenOrder", "sequential")));
// run pipeline and print results
collection.aggregate(Arrays.asList(agg,
limit(4),
project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
}
}
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
val uri = "<connection-string>"
val mongoClient = MongoClient.create(uri)
val database = mongoClient.getDatabase("sample_mflix")
val collection = database.getCollection<Document>("movies")
runBlocking {
val agg = Document(
"\$search",
Document(
"autocomplete",
Document("query", "men with")
.append("path", "title")
.append("tokenOrder", "sequential")
)
)
val resultsFlow = collection.aggregate<Document>(
listOf(
agg,
limit(4),
project(fields(excludeId(), include("title")))
)
)
resultsFlow.collect { println(it) }
}
mongoClient.close()
}

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
"<connection-string>";
const client = new MongoClient(uri);
async function run() {
try {
await client.connect();
// set namespace
const database = client.db("sample_mflix");
const coll = database.collection("movies");
// define pipeline
const agg = [
{$search: {autocomplete: {query: "men with", path: "title", tokenOrder: "sequential"}}},
{$limit: 4},
{$project: {_id: 0,title: 1}}
];
// run pipeline
const result = await coll.aggregate(agg);
// print results
await result.forEach((doc) => console.log(doc));
} finally {
await client.close();
}
}
run().catch(console.dir);

Cada consulta inclui um:

  • $limit estágio para limitar a saída a 4 resultados.

  • etapa $project para excluir todos os campos, exceto title.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
{"$search": {"autocomplete": {"query": "men with", "path": "title", "tokenOrder": "sequential"}}},
{"$limit": 4},
{"$project": {"_id": 0, "title": 1}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
print(i)

Observação

Seus resultados podem variar

O Atlas Search retorna resultados diferentes, dependendo da estratégia de tokenização configurada na definição do índice para o tipo de preenchimento automático. Para saber mais, consulte Como indexar campos para preenchimento automático.

SCORE: 12.644559860229492 _id: “573a139af29313caabcf0b12”
plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
genres: Array
runtime: 127
...
title: "Men with Guns"
SCORE: 12.644559860229492 _id: “573a13a4f29313caabd1287f”
plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
genres: Array
runtime: 102
...
title: "Men with Brooms"
SCORE: 7.997925281524658 _id: “573a1391f29313caabcd93a3”
plot: "Navy divers clear the torpedo tube of a sunken submarine."
genres: Array
runtime: 77
...
title: "Men Without Women"
SCORE: 11.758549690246582 _id: “573a139af29313caabcf0b12”
plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
genres: Array
runtime: 127
...
title: "Men with Guns"
SCORE: 11.758549690246582 _id: “573a13a4f29313caabd1287f”
plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
genres: Array
runtime: 102
...
title: "Men with Brooms"
SCORE: 7.70704460144043 _id: “573a1399f29313caabcee64e”
plot: "A thief's son cons his father into spending more time with him."
genres: Array
runtime: 109
...
title: "Getting Even with Dad"
SCORE: 7.111915588378906 _id: “573a13cdf29313caabd844f5”
plot: "Since his beloved violin was broken, Nasser Ali Khan, one of the most …"
genres: Array
runtime: 93
...
title: "Chicken with Plums"
SCORE: 7.928277015686035 _id: “573a1391f29313caabcd93a3”
plot: "Navy divers clear the torpedo tube of a sunken submarine."
genres: Array
runtime: 77
...
title: "Men Without Women"
SCORE: 7.928277015686035 _id: “573a139af29313caabcf0b12”
plot: "Humberto Fuentes is a wealthy doctor whose wife has recently died. In …"
genres: Array
runtime: 127
...
title: "Men with Guns"
SCORE: 7.928277015686035 _id: “573a13a4f29313caabd1287f”
plot: "Paul Gross stars as the leader of a recently reunited curling team fro…"
genres: Array
runtime: 102
...
title: "Men with Brooms"
SCORE: 7.381933212280273 _id: “573a13c8f29313caabd77ab6”
plot: "Against the tumultuous backdrop of Iran's 1953 CIA-backed coup d'ètat,…"
genres: Array
runtime: 95
...
title: "Women Without Men"

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1{ title: 'Men with Guns' },
2{ title: 'Men with Brooms' },
3{ title: 'Men Without Women' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' },
2{ title: 'Men with Guns' },
3{ title: 'Men with Brooms' },
4{ title: 'Women Without Men' }
1{ title: 'Men with Guns' },
2{ title: 'Men with Brooms' },
3{ title: 'Men Without Women' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' },
2{ title: 'Men with Guns' },
3{ title: 'Men with Brooms' },
4{ title: 'Women Without Men' }
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Men Without Women"}
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Getting Even with Dad" }
4{ "title" : "Chicken with Plums" }
1{ "title" : "Men Without Women" }
2{ "title" : "Men with Guns" }
3{ "title" : "Men with Brooms" }
4{ "title" : "Women Without Men" }
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Men Without Women}]
1[{title Men with Guns}]
2[{title Men with Brooms}]
3[{title Getting Even with Dad}]
4[{title Chicken with Plums}]
1[{title Men Without Women}]
2[{title Men with Guns}]
3[{title Men with Brooms}]
4[{title Women Without Men}]
1{"title": "Men with Guns"}
2{"title": "Men with Brooms"}
3{"title": "Men Without Women"}
1{ "title" : "Men with Guns" }
2{ "title" : "Men with Brooms" }
3{ "title" : "Getting Even with Dad" }
4{ "title" : "Chicken with Plums" }
1{"title": "Men Without Women"}
2{"title": "Men with Guns"}
3{"title": "Men with Brooms"}
4{"title": "Women Without Men"}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Men Without Women}}
1Document{{title=Men with Brooms}}
2Document{{title=Men with Guns}}
3Document{{title=Getting Even with Dad}}
4Document{{title=Chicken with Plums}}
1Document{{title=Men with Guns}}
2Document{{title=Men with Brooms}}
3Document{{title=Men Without Women}}
4Document{{title=Women Without Men}}
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Men Without Women' }
1{ title: 'Men with Guns' }
2{ title: 'Men with Brooms' }
3{ title: 'Getting Even with Dad' }
4{ title: 'Chicken with Plums' }
1{ title: 'Men Without Women' }
2{ title: 'Men with Guns' }
3{ title: 'Men with Brooms' }
4{ title: 'Women Without Men' }
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Men Without Women'}
1{'title': 'Men with Guns'}
2{'title': 'Men with Brooms'}
3{'title': 'Getting Even with Dad'}
4{'title': 'Chicken with Plums'}
1{'title': 'Men Without Women'}
2{'title': 'Men with Guns'}
3{'title': 'Men with Brooms'}
4{'title': 'Women Without Men'}

A seguinte query procura os caracteres ger no campo title da collection movies, com a opção highlight habilitada para o campo title.

Importante

Para destacar a versão indexada do preenchimento automático de um caminho, o operador de preenchimento automático deve ser o único operador que usa esse caminho na query.

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
autocomplete: {
path: "title",
query: "ger"
},
highlight: {
path: "title"
}
}
}
]

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

db.movies.aggregate([
{
$search: {
"autocomplete": {
"path": "title",
"query": ["ger"]
},
"highlight": {
"path": "title"
}
}
},
{
$limit: 5
},
{
$project: {
"score": { $meta: "searchScore" },
"title": 1,
"_id": 0,
"highlights": { "$meta": "searchHighlights" }
}
}
])

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"autocomplete": {
"path": "title",
"query": ["ger"]
},
"highlight": {
"path": "title"
}
}

$limit

5

$project

{
"score": { $meta: "searchScore" },
"title": 1,
"_id": 0,
"highlights": { "$meta": "searchHighlights" }
}

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

using MongoDB.Bson;
using MongoDB.Bson.Serialization.Attributes;
using MongoDB.Bson.Serialization.Conventions;
using MongoDB.Driver;
using MongoDB.Driver.Search;
public class AutocompleteHighlightExample
{
private const string MongoConnectionString = "<connection-string>";
public static void Main(string[] args)
{
// allow automapping of the camelCase database fields to our MovieDocument
var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
// connect to your Atlas cluster
var mongoClient = new MongoClient(MongoConnectionString);
var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
// define and run pipeline
var results = moviesCollection.Aggregate()
.Search(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "ger"), new SearchHighlightOptions<MovieDocument>(movie => movie.Title))
.Project<MovieDocument>(Builders<MovieDocument>.Projection
.Include(movie => movie.Title)
.Exclude(movie => movie.Id)
.MetaSearchScore(movie => movie.Score)
.MetaSearchHighlights("highlights"))
.Limit(5)
.ToList();
// print results
foreach (var movie in results)
{
Console.WriteLine(movie.ToJson());
}
}
}
[BsonIgnoreExtraElements]
public class MovieDocument
{
[BsonIgnoreIfDefault]
public ObjectId Id { get; set; }
public string Title { get; set; }
[BsonElement("highlights")]
public List<SearchHighlight> Highlights { get; set; }
public double Score { get; set; }
}

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

package main
import (
"context"
"fmt"
"go.mongodb.org/mongo-driver/v2/bson"
"go.mongodb.org/mongo-driver/v2/mongo"
"go.mongodb.org/mongo-driver/v2/mongo/options"
)
func main() {
// connect to your Atlas cluster
client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
if err != nil {
panic(err)
}
defer client.Disconnect(context.TODO())
// set namespace
collection := client.Database("sample_mflix").Collection("movies")
// define pipeline stages
searchStage := bson.D{{Key: "$search", Value: bson.D{{Key: "autocomplete", Value: bson.M{"query": "ger", "path": "title"}}, {Key: "highlight", Value: bson.D{{Key: "path", Value: "title"}}}}}}
limitStage := bson.D{{Key: "$limit", Value: 5}}
projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "score", Value: bson.D{{Key: "$meta", Value: "searchScore"}}}, {Key: "title", Value: 1}, {Key: "_id", Value: 0}, {Key: "highlight", Value: bson.D{{Key: "$meta", Value: "searchHighlights"}}}}}}
// run pipeline
cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
if err != nil {
panic(err)
}
// print results
var results []bson.D
if err = cursor.All(context.TODO(), &results); err != nil {
panic(err)
}
for _, result := range results {
fmt.Println(result)
}
}

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

import static com.mongodb.client.model.Aggregates.limit;
import static com.mongodb.client.model.Aggregates.project;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoCollection;
import com.mongodb.client.MongoDatabase;
import org.bson.Document;
import java.util.Arrays;
public class AutocompleteHighlight {
public static void main(String[] args) {
// connect to your Atlas cluster
String uri = "<connection-string>";
try (MongoClient mongoClient = MongoClients.create(uri)) {
// set namespace
MongoDatabase database = mongoClient.getDatabase("sample_mflix");
MongoCollection<Document> collection = database.getCollection("movies");
// define pipeline
Document agg = new Document("$search", new Document("autocomplete", new Document("path", "title").append("query", Arrays.asList("ger")))
.append("highlight", new Document("path", "title")));
// run pipeline and print results
collection.aggregate(Arrays.asList(agg,
limit(5),
project(Document.parse("{score: {$meta: 'searchScore'}, _id: 0, title: 1, highlights: {$meta: 'searchHighlights'}}"))))
.forEach(doc -> System.out.println(doc.toJson()));
}
}
}

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

import com.mongodb.client.model.Aggregates.limit
import com.mongodb.client.model.Aggregates.project
import com.mongodb.client.model.Projections.*
import com.mongodb.kotlin.client.coroutine.MongoClient
import kotlinx.coroutines.runBlocking
import org.bson.Document
fun main() {
val uri = "<connection-string>"
val mongoClient = MongoClient.create(uri)
val database = mongoClient.getDatabase("sample_mflix")
val collection = database.getCollection<Document>("movies")
runBlocking {
val agg = Document(
"\$search", Document("autocomplete", Document("path", "title")
.append("query", listOf("ger"))
).append("highlight", Document("path", "title"))
)
val resultsFlow = collection.aggregate<Document>(
listOf(
agg,
limit(5),
project(fields(
excludeId(),
include("title"),
computed("score", Document("\$meta", "searchScore")),
computed("highlights", Document("\$meta", "searchHighlights"))
))
)
)
resultsFlow.collect { println(it) }
}
mongoClient.close()
}

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

const { MongoClient } = require("mongodb");
// connect to your Atlas cluster
const uri =
"<connection-string>";
const client = new MongoClient(uri);
async function run() {
try {
await client.connect();
// set namespace
const database = client.db("sample_mflix");
const coll = database.collection("movies");
// define pipeline
const agg = [
{$search: {autocomplete: {query: "ger", path: "title"}, highlight:{path: "title"}}},
{$limit: 5},
{$project: {score: {$meta: "searchScore"}, _id: 0,title: 1, highlights: {$meta: "searchHighlights"}}}
];
// run pipeline
const result = coll.aggregate(agg);
// print results
result.forEach((doc) => console.dir(JSON.stringify(doc)));
} finally {
await client.close();
}
}
run().catch(console.dir);

A consulta inclui um:

  • $limit estágio para limitar a saída a 5 resultados.

  • $project estágio para:

    • retornar a pontuação do documento.

    • excluir todos os campos, exceto title;

    • adicionar um novo campo chamado highlights, que contém informações de destaque.

import pymongo
# connect to your Atlas cluster
client = pymongo.MongoClient('<connection-string>')
# define pipeline
pipeline = [
{"$search":{"autocomplete": {"query": "ger", "path": "title"}, "highlight": {"path": "title"}}},
{"$limit": 5},
{"$project": {"score": {"$meta": "searchScore"},"_id": 0, "title": 1, "highlights": {"$meta": "searchHighlights"}}},
]
# run pipeline
result = client["sample_mflix"]["movies"].aggregate(pipeline)
# print results
for i in result:
print(i)

Observação

Seus resultados podem variar

O Atlas Search retorna resultados diferentes, dependendo da estratégia de tokenização configurada na definição do índice para o tipo de preenchimento automático. Para saber mais, consulte Como indexar campos para preenchimento automático.

SCORE: 6.0822906494140625 _id: “573a1390f29313caabcd50e5”
Gertie the Dinosaur
Matching fields: title
SCORE: 6.0822906494140625 _id: “573a1393f29313caabcddae1”
Germany Year Zero
Matching fields: title
SCORE: 6.0822906494140625 _id: “573a1397f29313caabce6b75”
Germany in Autumn
Matching fields: title
SCORE: 6.0822906494140625 _id: “573a1397f29313caabce77b5”
Germany Pale Mother
Matching fields: title
SCORE: 6.0822906494140625 _id: “573a13d4f29313caabd99fa2”
Gerhard Richter - Painting
Matching fields: title
SCORE: 6.018838405609131 _id: “573a1399f29313caabcedb50”
Geronimo: An American Legend
Matching fields: title
SCORE: 5.825854301452637 _id: “573a139bf29313caabcf36bd”
Geri's Game
Matching fields: title
SCORE: 5.777737617492676 _id: “573a13a5f29313caabd15dae”
How to Live in the German Federal Republic
Matching fields: title
SCORE: 5.738928318023682 _id: “573a13b4f29313caabd41bb7”
The Gerson Miracle
Matching fields: title
SCORE: 5.738928318023682 _id: “573a13d2f29313caabd922de”
The German Doctor
Matching fields: title
SCORE: 4.7550506591796875 _id: “573a139df29313caabcf9ed2”
South Park: Bigger Longer & Uncut
Matching fields: title
SCORE: 4.568849563598633 _id: “573a13a7f29313caabd1addf”
Roger Dodger
Matching fields: title
SCORE: 4.520683288574219 _id: “573a1391f29313caabcd8783”
The Jazz Singer
Matching fields: title
SCORE: 4.520683288574219 _id: “573a1396f29313caabce3974”
Love and Anger
Matching fields: title
SCORE: 4.520683288574219 _id: “573a1396f29313caabce5212”
Save the Tiger
Matching fields: title
SCORE: 4.520683288574219 _id: “573a1397f29313caabce78da”
The Jazz Singer
Matching fields: title
SCORE: 4.520683288574219 _id: “573a1398f29313caabce9be6”
The Toxic Avenger
Matching fields: title
SCORE: 4.520683288574219 _id: “573a139af29313caabcf0f59”
The Wedding Singer
Matching fields: title
SCORE: 4.520683288574219 _id: “573a139af29313caabcf1389”
The Crazy Stranger
Matching fields: title
SCORE: 4.520683288574219 _id: “573a13abf29313caabd24b5a”
Save the Tiger
Matching fields: title
SCORE: 4.371164321899414 _id: “573a139df29313caabcf9ed2”
South Park: Bigger Longer & Uncut
Matching fields: title
SCORE: 4.3067307472229 _id: “573a13bff29313caabd60a4a”
Bigger Stronger Faster*
Matching fields: title
SCORE: 4.26673698425293 _id: “573a1398f29313caabcebb00”
The Toxic Avenger Part II
Matching fields: title
SCORE: 4.26673698425293 _id: “573a1399f29313caabcee12e”
When a Stranger Calls Back
Matching fields: title
SCORE: 4.26673698425293 _id: “573a13cff29313caabd89c2b”
Carol Channing: Larger Than Life
Matching fields: title
SCORE: 4.2623162269592285 _id: “573a1396f29313caabce51c6”
Property Is No Longer a Theft
Matching fields: title
SCORE: 4.2623162269592285 _id: “573a139af29313caabcef539”
Mighty Morphin Power Rangers: The Movie
Matching fields: title
SCORE: 4.2623162269592285 _id: “573a13b1f29313caabd364e3”
Josee, the Tiger and the Fish
Matching fields: title
SCORE: 4.253501892089844 _id: “573a13a5f29313caabd15dae”
How to Live in the German Federal Republic
Matching fields: title
SCORE: 4.24910831451416 _id: “573a13a3f29313caabd0f07f”
Into the Arms of Strangers: Stories of the Kindertransport
Matching fields: title

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1{
2 title: 'Gertie the Dinosaur',
3 score: 6.085907459259033,
4 highlights: [{
5 score: 0.9227690100669861,
6 path: 'title',
7 texts: [ { value: 'Gertie the Dinosaur', type: 'hit' } ]
8 }]
9},
10{
11 title: 'Germany Year Zero',
12 score: 6.085907459259033,
13 highlights: [{
14 score: 0.9180012345314026,
15 path: 'title',
16 texts: [ { value: 'Germany Year Zero', type: 'hit' } ]
17 }]
18},
19{
20 title: 'Germany in Autumn',
21 score: 6.085907459259033,
22 highlights: [{
23 score: 0.9180012345314026,
24 path: 'title',
25 texts: [ { value: 'Germany in Autumn', type: 'hit' } ]
26 }]
27},
28{
29 title: 'Germany Pale Mother',
30 score: 6.085907459259033,
31 highlights: [{
32 score: 0.9227690100669861,
33 path: 'title',
34 texts: [ { value: 'Germany Pale Mother', type: 'hit' } ]
35 }]
36},
37{
38 title: 'Gerhard Richter - Painting',
39 score: 6.085907459259033,
40 highlights: [{
41 score: 0.9386774897575378,
42 path: 'title',
43 texts: [ { value: 'Gerhard Richter - Painting', type: 'hit' } ]
44 }]
45}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1{
2 title: 'South Park: Bigger Longer & Uncut',
3 score: 4.807340621948242,
4 highlights: [{
5 score: 0.6177878975868225,
6 path: 'title',
7 texts: [
8 { value: 'South Park: Bigger Longer', type: 'hit' },
9 { value: ' & Uncut', type: 'text' } ]
10 }]
11},
12{
13 title: 'Roger Dodger',
14 score: 4.6073713302612305,
15 highlights: [{
16 score: 0.905626654624939,
17 path: 'title',
18 texts: [ { value: 'Roger Dodger', type: 'hit' } ]
19 }]
20},
21{
22 title: 'The Jazz Singer',
23 score: 4.577486038208008,
24 highlights: [{
25 score: 0.9131305813789368,
26 path: 'title',
27 texts: [ { value: 'The Jazz Singer', type: 'hit' } ]
28 }]
29},
30{
31 title: 'Love and Anger',
32 score: 4.577486038208008,
33 highlights: [{
34 score: 0.9106559753417969,
35 path: 'title',
36 texts: [ { value: 'Love and Anger', type: 'hit' } ]
37 }]
38},
39{
40 title: 'Save the Tiger',
41 score: 4.577486038208008,
42 highlights: [{
43 score: 0.9106559753417969,
44 path: 'title',
45 texts: [ { value: 'Save the Tiger', type: 'hit' } ]
46 }]
47}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 title: 'South Park: Bigger Longer & Uncut',
3 score: 4.365298748016357,
4 highlights: [{
5 score: 0.38510727882385254,
6 path: 'title',
7 texts: [ { value: 'South Park: Bigger Longer & Uncut', type: 'hit' } ]
8 }]
9},
10{
11 title: 'Bigger Stronger Faster*',
12 score: 4.300583839416504,
13 highlights: [{
14 score: 0.5282801985740662,
15 path: 'title',
16 texts: [
17 { value: 'Bigger Stronger Faster', type: 'hit' },
18 { value: '*', type: 'text' }
19 ]
20 }]
21},
22{
23 title: 'The Toxic Avenger Part II',
24 score: 4.2650651931762695,
25 highlights: [{
26 score: 0.5984020829200745,
27 path: 'title',
28 texts: [ { value: 'The Toxic Avenger Part II', type: 'hit' } ]
29 }]
30},
31{
32 title: 'When a Stranger Calls Back',
33 score: 4.2650651931762695,
34 highlights: [{
35 score: 0.6008684039115906,
36 path: 'title',
37 texts: [ { value: 'When a Stranger Calls Back', type: 'hit' } ]
38 }]
39},
40{
41 title: 'Carol Channing: Larger Than Life',
42 score: 4.2650651931762695,
43 highlights: [{
44 score: 0.6154072880744934,
45 path: 'title',
46 texts: [ { value: 'Carol Channing: Larger Than Life', type: 'hit' } ]
47 }]
48}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 title: 'Gertie the Dinosaur',
3 score: 6.085907459259033,
4 highlights: [{
5 score: 0.9227690100669861,
6 path: 'title',
7 texts: [ { value: 'Gertie the Dinosaur', type: 'hit' } ]
8 }]
9},
10{
11 title: 'Germany Year Zero',
12 score: 6.085907459259033,
13 highlights: [{
14 score: 0.9180012345314026,
15 path: 'title',
16 texts: [ { value: 'Germany Year Zero', type: 'hit' } ]
17 }]
18},
19{
20 title: 'Germany in Autumn',
21 score: 6.085907459259033,
22 highlights: [{
23 score: 0.9180012345314026,
24 path: 'title',
25 texts: [ { value: 'Germany in Autumn', type: 'hit' } ]
26 }]
27},
28{
29 title: 'Germany Pale Mother',
30 score: 6.085907459259033,
31 highlights: [{
32 score: 0.9227690100669861,
33 path: 'title',
34 texts: [ { value: 'Germany Pale Mother', type: 'hit' } ]
35 }]
36},
37{
38 title: 'Gerhard Richter - Painting',
39 score: 6.085907459259033,
40 highlights: [{
41 score: 0.9386774897575378,
42 path: 'title',
43 texts: [ { value: 'Gerhard Richter - Painting', type: 'hit' } ]
44 }]
45}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1{
2 title: 'South Park: Bigger Longer & Uncut',
3 score: 4.807340621948242,
4 highlights: [{
5 score: 0.6177878975868225,
6 path: 'title',
7 texts: [
8 { value: 'South Park: Bigger Longer', type: 'hit' },
9 { value: ' & Uncut', type: 'text' } ]
10 }]
11},
12{
13 title: 'Roger Dodger',
14 score: 4.6073713302612305,
15 highlights: [{
16 score: 0.905626654624939,
17 path: 'title',
18 texts: [ { value: 'Roger Dodger', type: 'hit' } ]
19 }]
20},
21{
22 title: 'The Jazz Singer',
23 score: 4.577486038208008,
24 highlights: [{
25 score: 0.9131305813789368,
26 path: 'title',
27 texts: [ { value: 'The Jazz Singer', type: 'hit' } ]
28 }]
29},
30{
31 title: 'Love and Anger',
32 score: 4.577486038208008,
33 highlights: [{
34 score: 0.9106559753417969,
35 path: 'title',
36 texts: [ { value: 'Love and Anger', type: 'hit' } ]
37 }]
38},
39{
40 title: 'Save the Tiger',
41 score: 4.577486038208008,
42 highlights: [{
43 score: 0.9106559753417969,
44 path: 'title',
45 texts: [ { value: 'Save the Tiger', type: 'hit' } ]
46 }]
47}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 title: 'South Park: Bigger Longer & Uncut',
3 score: 4.365298748016357,
4 highlights: [{
5 score: 0.38510727882385254,
6 path: 'title',
7 texts: [ { value: 'South Park: Bigger Longer & Uncut', type: 'hit' } ]
8 }]
9},
10{
11 title: 'Bigger Stronger Faster*',
12 score: 4.300583839416504,
13 highlights: [{
14 score: 0.5282801985740662,
15 path: 'title',
16 texts: [
17 { value: 'Bigger Stronger Faster', type: 'hit' },
18 { value: '*', type: 'text' }
19 ]
20 }]
21},
22{
23 title: 'The Toxic Avenger Part II',
24 score: 4.2650651931762695,
25 highlights: [{
26 score: 0.5984020829200745,
27 path: 'title',
28 texts: [ { value: 'The Toxic Avenger Part II', type: 'hit' } ]
29 }]
30},
31{
32 title: 'When a Stranger Calls Back',
33 score: 4.2650651931762695,
34 highlights: [{
35 score: 0.6008684039115906,
36 path: 'title',
37 texts: [ { value: 'When a Stranger Calls Back', type: 'hit' } ]
38 }]
39},
40{
41 title: 'Carol Channing: Larger Than Life',
42 score: 4.2650651931762695,
43 highlights: [{
44 score: 0.6154072880744934,
45 path: 'title',
46 texts: [ { value: 'Carol Channing: Larger Than Life', type: 'hit' } ]
47 }]
48}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{ "title" : "Gertie the Dinosaur", "highlights" : [{ "path" : "title", "score" : 0.92276901006698608, "texts" : [{ "type" : "Hit", "value" : "Gertie the Dinosaur" }] }], "score" : 6.0822906494140625 }
2{ "title" : "Germany Year Zero", "highlights" : [{ "path" : "title", "score" : 0.91800123453140259, "texts" : [{ "type" : "Hit", "value" : "Germany Year Zero" }] }], "score" : 6.0822906494140625 }
3{ "title" : "Germany in Autumn", "highlights" : [{ "path" : "title", "score" : 0.91800123453140259, "texts" : [{ "type" : "Hit", "value" : "Germany in Autumn" }] }], "score" : 6.0822906494140625 }
4{ "title" : "Germany Pale Mother", "highlights" : [{ "path" : "title", "score" : 0.92276901006698608, "texts" : [{ "type" : "Hit", "value" : "Germany Pale Mother" }] }], "score" : 6.0822906494140625 }
5{ "title" : "Gerhard Richter - Painting", "highlights" : [{ "path" : "title", "score" : 0.93867748975753784, "texts" : [{ "type" : "Hit", "value" : "Gerhard Richter - Painting" }] }], "score" : 6.0822906494140625 }

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1{ "title" : "South Park: Bigger Longer & Uncut", "highlights" : [{ "path" : "title", "score" : 0.61778789758682251, "texts" : [{ "type" : "Hit", "value" : "South Park: Bigger Longer" }, { "type" : "Text", "value" : " & Uncut" }] }], "score" : 4.7550506591796875 }
2{ "title" : "Roger Dodger", "highlights" : [{ "path" : "title", "score" : 0.90562665462493896, "texts" : [{ "type" : "Hit", "value" : "Roger Dodger" }] }], "score" : 4.5688495635986328 }
3{ "title" : "The Jazz Singer", "highlights" : [{ "path" : "title", "score" : 0.91313058137893677, "texts" : [{ "type" : "Hit", "value" : "The Jazz Singer" }] }], "score" : 4.5206832885742188 }
4{ "title" : "Love and Anger", "highlights" : [{ "path" : "title", "score" : 0.91065597534179688, "texts" : [{ "type" : "Hit", "value" : "Love and Anger" }] }], "score" : 4.5206832885742188 }
5{ "title" : "Save the Tiger", "highlights" : [{ "path" : "title", "score" : 0.91065597534179688, "texts" : [{ "type" : "Hit", "value" : "Save the Tiger" }] }], "score" : 4.5206832885742188 }

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{ "title" : "South Park: Bigger Longer & Uncut", "highlights" : [{ "path" : "title", "score" : 0.38510727882385254, "texts" : [{ "type" : "Hit", "value" : "South Park: Bigger Longer & Uncut" }] }], "score" : 4.3711643218994141 }
2{ "title" : "Bigger Stronger Faster*", "highlights" : [{ "path" : "title", "score" : 0.52828019857406616, "texts" : [{ "type" : "Hit", "value" : "Bigger Stronger Faster" }, { "type" : "Text", "value" : "*" }] }], "score" : 4.3067307472229004 }
3{ "title" : "The Toxic Avenger Part II", "highlights" : [{ "path" : "title", "score" : 0.59840208292007446, "texts" : [{ "type" : "Hit", "value" : "The Toxic Avenger Part II" }] }], "score" : 4.2667369842529297 }
4{ "title" : "When a Stranger Calls Back", "highlights" : [{ "path" : "title", "score" : 0.60086840391159058, "texts" : [{ "type" : "Hit", "value" : "When a Stranger Calls Back" }] }], "score" : 4.2667369842529297 }
5{ "title" : "Carol Channing: Larger Than Life", "highlights" : [{ "path" : "title", "score" : 0.61540728807449341, "texts" : [{ "type" : "Hit", "value" : "Carol Channing: Larger Than Life" }] }], "score" : 4.2667369842529297 }

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1[
2 {title Gertie the Dinosaur}
3 {score 6.085907459259033}
4 {highlight [[
5 {score 0.9227690100669861}
6 {path title}
7 {texts [[{value Gertie the Dinosaur} {type hit}]]}]]}]
8[
9 {title Germany Year Zero}
10 {score 6.085907459259033}
11 {highlight [[
12 {score 0.9180012345314026}
13 {path title}
14 {texts [[{value Germany Year Zero} {type hit}]]}]]}]
15[
16 {title Germany in Autumn}
17 {score 6.085907459259033}
18 {highlight [[
19 {score 0.9180012345314026}
20 {path title}
21 {texts [[{value Germany in Autumn} {type hit}]]}]]}]
22[
23 {title Germany Pale Mother}
24 {score 6.085907459259033}
25 {highlight [[
26 {score 0.9227690100669861}
27 {path title}
28 {texts [[{value Germany Pale Mother} {type hit}]]}]]}]
29[
30 {title Gerhard Richter - Painting}
31 {score 6.085907459259033}
32 {highlight [[
33 {score 0.9386774897575378}
34 {path title}
35 {texts [[{value Gerhard Richter - Painting} {type hit}]]}]]}]

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1[
2 {title South Park: Bigger Longer & Uncut}
3 {score 4.807340621948242}
4 {highlight [[
5 {score 0.6177878975868225}
6 {path title}
7 {texts [[{value South Park: Bigger Longer} {type hit}] [{value & Uncut} {type text}]]}]]}]
8[
9 {title Roger Dodger}
10 {score 4.6073713302612305}
11 {highlight [[
12 {score 0.905626654624939}
13 {path title}
14 {texts [[{value Roger Dodger} {type hit}]]}]]}]
15[
16 {title The Jazz Singer}
17 {score 4.577486038208008}
18 {highlight [[
19 {score 0.9131305813789368}
20 {path title}
21 {texts [[{value The Jazz Singer} {type hit}]]}]]}]
22[
23 {title Love and Anger}
24 {score 4.577486038208008}
25 {highlight [[
26 {score 0.9106559753417969}
27 {path title}
28 {texts [[{value Love and Anger} {type hit}]]}]]}]
29[
30 {title Save the Tiger}
31 {score 4.577486038208008}
32 {highlight [[
33 {score 0.9106559753417969}
34 {path title}
35 {texts [[{value Save the Tiger} {type hit}]]}]]}]

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1[
2 {title South Park: Bigger Longer & Uncut}
3 {score 4.365298748016357}
4 {highlight [[
5 {score 0.38510727882385254}
6 {path title}
7 {texts [[{value South Park: Bigger Longer & Uncut} {type hit}]]}]]}]
8[
9 {title Bigger Stronger Faster*} {
10 score 4.300583839416504}
11 {highlight [[
12 {score 0.5282801985740662}
13 {path title}
14 {texts [[{value Bigger Stronger Faster} {type hit}] [{value *} {type text}]]}]]}]
15[
16 {title The Toxic Avenger Part II}
17 {score 4.2650651931762695}
18 {highlight [[
19 {score 0.5984020829200745}
20 {path title}
21 {texts [[{value The Toxic Avenger Part II} {type hit}]]}]]}]
22[
23 {title When a Stranger Calls Back}
24 {score 4.2650651931762695}
25 {highlight [[
26 {score 0.6008684039115906}
27 {path title}
28 {texts [[{value When a Stranger Calls Back} {type hit}]]}]]}]
29[
30 {title Carol Channing: Larger Than Life}
31 {score 4.2650651931762695}
32 {highlight [[
33 {score 0.6154072880744934}
34 {path title}
35 {texts [[{value Carol Channing: Larger Than Life} {type hit}]]}]]}]

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 "title": "Gertie the Dinosaur",
3 "score": 6.085907459259033,
4 "highlights": [{
5 "score": 0.9227690100669861,
6 "path": "title",
7 "texts": [{"value": "Gertie the Dinosaur", "type": "hit"}]}]}
8{
9 "title": "Germany Year Zero",
10 "score": 6.085907459259033,
11 "highlights": [{
12 "score": 0.9180012345314026,
13 "path": "title",
14 "texts": [{"value": "Germany Year Zero", "type": "hit"}]}]}
15{
16 "title": "Germany in Autumn",
17 "score": 6.085907459259033,
18 "highlights": [{
19 "score": 0.9180012345314026,
20 "path": "title",
21 "texts": [{"value": "Germany in Autumn", "type": "hit"}]}]}
22{
23 "title": "Germany Pale Mother",
24 "score": 6.085907459259033,
25 "highlights": [{
26 "score": 0.9227690100669861,
27 "path": "title",
28 "texts": [{"value": "Germany Pale Mother", "type": "hit"}]}]}
29{
30 "title": "Gerhard Richter - Painting",
31 "score": 6.085907459259033,
32 "highlights": [{
33 "score": 0.9386774897575378,
34 "path": "title",
35 "texts": [{"value": "Gerhard Richter - Painting", "type": "hit"}]}]}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1{
2 "title": "South Park: Bigger Longer & Uncut",
3 "score": 4.807340621948242,
4 "highlights": [{
5 "score": 0.6177878975868225,
6 "path": "title",
7 "texts": [{"value": "South Park: Bigger Longer", "type": "hit"}, {"value": " & Uncut", "type": "text"}]}]}
8{
9 "title": "Roger Dodger",
10 "score": 4.6073713302612305,
11 "highlights": [{
12 "score": 0.905626654624939,
13 "path": "title",
14 "texts": [{"value": "Roger Dodger", "type": "hit"}]}]}
15{
16 "title": "The Jazz Singer",
17 "score": 4.577486038208008,
18 "highlights": [{
19 "score": 0.9131305813789368,
20 "path": "title",
21 "texts": [{"value": "The Jazz Singer", "type": "hit"}]}]}
22{
23 "title": "Love and Anger",
24 "score": 4.577486038208008,
25 "highlights": [{
26 "score": 0.9106559753417969,
27 "path": "title",
28 "texts": [{"value": "Love and Anger", "type": "hit"}]}]}
29{
30 "title": "Save the Tiger",
31 "score": 4.577486038208008,
32 "highlights": [{
33 "score": 0.9106559753417969,
34 "path": "title",
35 "texts": [{"value": "Save the Tiger", "type": "hit"}]}]}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 "title": "South Park: Bigger Longer & Uncut",
3 "score": 4.365298748016357,
4 "highlights": [{
5 "score": 0.38510727882385254,
6 "path": "title",
7 "texts": [{"value": "South Park: Bigger Longer & Uncut", "type": "hit"}]}]}
8{
9 "title": "Bigger Stronger Faster*",
10 "score": 4.300583839416504,
11 "highlights": [{
12 "score": 0.5282801985740662,
13 "path": "title",
14 "texts": [{"value": "Bigger Stronger Faster", "type": "hit"}, {"value": "*", "type": "text"}]}]}
15{
16 "title": "The Toxic Avenger Part II",
17 "score": 4.2650651931762695,
18 "highlights": [{
19 "score": 0.5984020829200745,
20 "path": "title",
21 "texts": [{"value": "The Toxic Avenger Part II", "type": "hit"}]}]}
22{
23 "title": "When a Stranger Calls Back",
24 "score": 4.2650651931762695,
25 "highlights": [{
26 "score": 0.6008684039115906,
27 "path": "title",
28 "texts": [{"value": "When a Stranger Calls Back", "type": "hit"}]}]}
29{
30 "title": "Carol Channing: Larger Than Life",
31 "score": 4.2650651931762695,
32 "highlights": [{
33 "score": 0.6154072880744934,
34 "path": "title",
35 "texts": [{"value": "Carol Channing: Larger Than Life", "type": "hit"}]}]}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1Document{{title=Germany in Autumn, score=6.160550117492676, highlights=[Document{{score=0.9180012345314026, path=title, texts=[Document{{value=Germany in Autumn, type=hit}}]}}]}}
2Document{{title=Gertie the Dinosaur, score=6.160550117492676, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Gertie the Dinosaur, type=hit}}]}}]}}
3Document{{title=Germany Pale Mother, score=6.160550117492676, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Germany Pale Mother, type=hit}}]}}]}}
4Document{{title=Geronimo: An American Legend, score=6.096138954162598, highlights=[Document{{score=0.9430088996887207, path=title, texts=[Document{{value=Geronimo: An American, type=hit}}, Document{{value= Legend, type=text}}]}}]}}
5Document{{title=Geri's Game, score=5.900832176208496, highlights=[Document{{score=1.1180211305618286, path=title, texts=[Document{{value=Geri's Game, type=hit}}]}}]}}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1Document{{title=South Park: Bigger Longer & Uncut, score=4.770905017852783, highlights=[Document{{score=0.6177878975868225, path=title, texts=[Document{{value=South Park: Bigger Longer, type=hit}}, Document{{value= & Uncut, type=text}}]}}]}}
2Document{{title=Roger Dodger, score=4.584150791168213, highlights=[Document{{score=0.905626654624939, path=title, texts=[Document{{value=Roger Dodger, type=hit}}]}}]}}
3Document{{title=The Crazy Stranger, score=4.535715103149414, highlights=[Document{{score=0.9203977584838867, path=title, texts=[Document{{value=The Crazy Stranger, type=hit}}]}}]}}
4Document{{title=The Ring Finger, score=4.535715103149414, highlights=[Document{{score=0.9131305813789368, path=title, texts=[Document{{value=The Ring Finger, type=hit}}]}}]}}
5Document{{title=Shoot the Messenger, score=4.535715103149414, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Shoot the Messenger, type=hit}}]}}]}}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1Document{{title=South Park: Bigger Longer & Uncut, score=4.395573139190674, highlights=[Document{{score=0.38510727882385254, path=title, texts=[Document{{value=South Park: Bigger Longer & Uncut, type=hit}}]}}]}}
2Document{{title=Bigger Stronger Faster*, score=4.33078145980835, highlights=[Document{{score=0.5282801985740662, path=title, texts=[Document{{value=Bigger Stronger Faster, type=hit}}, Document{{value=*, type=text}}]}}]}}
3Document{{title=The Toxic Avenger Part II, score=4.2905426025390625, highlights=[Document{{score=0.5984020829200745, path=title, texts=[Document{{value=The Toxic Avenger Part II, type=hit}}]}}]}}
4Document{{title=Carol Channing: Larger Than Life, score=4.2905426025390625, highlights=[Document{{score=0.6154072880744934, path=title, texts=[Document{{value=Carol Channing: Larger Than Life, type=hit}}]}}]}}
5Document{{title=When a Stranger Calls Back, score=4.2905426025390625, highlights=[Document{{score=0.6008684039115906, path=title, texts=[Document{{value=When a Stranger Calls Back, type=hit}}]}}]}}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1'{
2 "title":"Gertie the Dinosaur",
3 "score":6.0822906494140625,
4 "highlights":[{
5 "score":0.9227690100669861,
6 "path":"title",
7 "texts":[{"value":"Gertie the Dinosaur","type":"hit"}]}]}'
8'{
9 "title":"Germany Year Zero",
10 "score":6.0822906494140625,
11 "highlights":[{
12 "score":0.9180012345314026,
13 "path":"title",
14 "texts":[{"value":"Germany Year Zero","type":"hit"}]}]}'
15'{
16 "title":"Germany in Autumn",
17 "score":6.0822906494140625,
18 "highlights":[{
19 "score":0.9180012345314026,
20 "path":"title",
21 "texts":[{"value":"Germany in Autumn","type":"hit"}]}]}'
22'{
23 "title":"Germany Pale Mother",
24 "score":6.0822906494140625,
25 "highlights":[{
26 "score":0.9227690100669861,
27 "path":"title",
28 "texts":[{"value":"Germany Pale Mother","type":"hit"}]}]}'
29'{
30 "title":"Gerhard Richter - Painting",
31 "score":6.0822906494140625,
32 "highlights":[{
33 "score":0.9386774897575378,
34 "path":"title",
35 "texts":[{"value":"Gerhard Richter - Painting","type":"hit"}]}]}'

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1'{
2 "title":"South Park: Bigger Longer & Uncut",
3 "score":4.7550506591796875,
4 "highlights":[{
5 "score":0.6177878975868225,
6 "path":"title",
7 "texts":[{"value":"South Park: Bigger Longer","type":"hit"},{"value":" & Uncut","type":"text"}]}]}'
8'{
9 "title":"Roger Dodger",
10 "score":4.568849563598633,
11 "highlights":[{
12 "score":0.905626654624939,
13 "path":"title",
14 "texts":[{"value":"Roger Dodger","type":"hit"}]}]}'
15'{
16 "title":"The Jazz Singer",
17 "score":4.520683288574219,
18 "highlights":[{
19 "score":0.9131305813789368,
20 "path":"title",
21 "texts":[{"value":"The Jazz Singer","type":"hit"}]}]}'
22'{
23 "title":"Love and Anger",
24 "score":4.520683288574219,
25 "highlights":[{
26 "score":0.9106559753417969,
27 "path":"title",
28 "texts":[{"value":"Love and Anger","type":"hit"}]}]}'
29'{
30 "title":"Save the Tiger",
31 "score":4.520683288574219,
32 "highlights":[{
33 "score":0.9106559753417969,
34 "path":"title",
35 "texts":[{"value":"Save the Tiger","type":"hit"}]}]}'

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1'{
2 "title":"South Park: Bigger Longer & Uncut",
3 "score":4.371164321899414,
4 "highlights":[{
5 "score":0.38510727882385254,
6 "path":"title",
7 "texts":[{"value":"South Park: Bigger Longer & Uncut","type":"hit"}]}]}'
8'{
9 "title":"Bigger Stronger Faster*",
10 "score":4.3067307472229,
11 "highlights":[{
12 "score":0.5282801985740662,
13 "path":"title",
14 "texts":[{"value":"Bigger Stronger Faster","type":"hit"},{"value":"*","type":"text"}]}]}'
15'{
16 "title":"The Toxic Avenger Part II",
17 "score":4.26673698425293,
18 "highlights":[{
19 "score":0.5984020829200745,
20 "path":"title",
21 "texts":[{"value":"The Toxic Avenger Part II","type":"hit"}]}]}'
22'{
23 "title":"When a Stranger Calls Back",
24 "score":4.26673698425293,
25 "highlights":[{
26 "score":0.6008684039115906,
27 "path":"title",
28 "texts":[{"value":"When a Stranger Calls Back","type":"hit"}]}]}'
29'{
30 "title":"Carol Channing: Larger Than Life",
31 "score":4.26673698425293,
32 "highlights":[{
33 "score":0.6154072880744934,
34 "path":"title",
35 "texts":[{"value":"Carol Channing: Larger Than Life","type":"hit"}]}]}'

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 'highlights': [{
3 'path': 'title',
4 'score': 0.9227690100669861,
5 'texts': [{'type': 'hit', 'value': 'Gertie the Dinosaur'}]}],
6 'score': 6.085907459259033,
7 'title': 'Gertie the Dinosaur'}
8{
9 'highlights': [{
10 'path': 'title',
11 'score': 0.9180012345314026,
12 'texts': [{'type': 'hit', 'value': 'Germany Year Zero'}]}],
13 'score': 6.085907459259033,
14 'title': 'Germany Year Zero'}
15{
16 'highlights': [{
17 'path': 'title',
18 'score': 0.9180012345314026,
19 'texts': [{'type': 'hit', 'value': 'Germany in Autumn'}]}],
20 'score': 6.085907459259033,
21 'title': 'Germany in Autumn'}
22{
23 'highlights': [{
24 'path': 'title',
25 'score': 0.9227690100669861,
26 'texts': [{'type': 'hit', 'value': 'Germany Pale Mother'}]}],
27 'score': 6.085907459259033,
28 'title': 'Germany Pale Mother'}
29{
30 'highlights': [{
31 'path': 'title',
32 'score': 0.9386774897575378,
33 'texts': [{'type': 'hit', 'value': 'Gerhard Richter - Painting'}]}],
34 'score': 6.085907459259033,
35 'title': 'Gerhard Richter - Painting'}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado esquerdo de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua consulta quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da consulta destacada.

1{
2 'highlights': [{
3 'path': 'title',
4 'score': 0.6177878975868225,
5 'texts': [{'type': 'hit', 'value': 'South Park: Bigger Longer'}, {'type': 'text', 'value': ' & Uncut'}]}],
6 'score': 4.807340621948242,
7 'title': 'South Park: Bigger Longer & Uncut'}
8{
9 'highlights': [{
10 'path': 'title',
11 'score': 0.905626654624939,
12 'texts': [{'type': 'hit', 'value': 'Roger Dodger'}]}],
13 'score': 4.6073713302612305,
14 'title': 'Roger Dodger'}
15{
16 'highlights': [{
17 'path': 'title',
18 'score': 0.9131305813789368,
19 'texts': [{'type': 'hit', 'value': 'The Jazz Singer'}]}],
20 'score': 4.577486038208008,
21 'title': 'The Jazz Singer'}
22{
23 'highlights': [{
24 'path': 'title',
25 'score': 0.9106559753417969,
26 'texts': [{'type': 'hit', 'value': 'Love and Anger'}]}],
27 'score': 4.577486038208008,
28 'title': 'Love and Anger'}
29{
30 'highlights': [{
31 'path': 'title',
32 'score': 0.9106559753417969,
33 'texts': [{'type': 'hit', 'value': 'Save the Tiger'}]}],
34 'score': 4.577486038208008,
35 'title': 'Save the Tiger'}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem no lado direito de uma palavra em todos os títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

1{
2 'highlights': [{
3 'path': 'title',
4 'score': 0.38510727882385254,
5 'texts': [{'type': 'hit', 'value': 'South Park: Bigger Longer & Uncut'}]}],
6 'score': 4.365298748016357,
7 'title': 'South Park: Bigger Longer & Uncut'}
8{
9 'highlights': [{
10 'path': 'title',
11 'score': 0.5282801985740662,
12 'texts':[{'type': 'hit', 'value': 'Bigger Stronger Faster'}, {'type': 'text', 'value': '*'}]}],
13 'score': 4.300583839416504,
14 'title': 'Bigger Stronger Faster*'}
15{
16 'highlights': [{
17 'path': 'title',
18 'score': 0.5984020829200745,
19 'texts': [{'type': 'hit', 'value': 'The Toxic Avenger Part II'}]}],
20 'score': 4.2650651931762695,
21 'title': 'The Toxic Avenger Part II'}
22{
23 'highlights': [{
24 'path': 'title',
25 'score': 0.6008684039115906,
26 'texts': [{'type': 'hit', 'value': 'When a Stranger Calls Back'}]}],
27 'score': 4.2650651931762695,
28 'title': 'When a Stranger Calls Back'}
29{
30 'highlights': [{
31 'path': 'title',
32 'score': 0.6154072880744934,
33 'texts': [{'type': 'hit', 'value': 'Carol Channing: Larger Than Life'}]}],
34 'score': 4.2650651931762695,
35 'title': 'Carol Channing: Larger Than Life'}

O Atlas Search retorna esses resultados porque os caracteres ger aparecem em diferentes posições nos títulos. O Atlas Search corresponde um destaque hit de maneira mais grosseira aos termos da sua query quando um caminho destacado é referenciado apenas nos operadores de preenchimento automático da query destacada.

A query a seguir pesquisa os campos title e plot da collection movies em busca de palavras que comecem com a cadeia de caracteres inter usando o operador composto .

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
$search: {
compound: {
should: [
{
autocomplete: {
query: "inter",
path: "title"
}
},
{
autocomplete: {
query: "inter",
path: "plot"
}
}
],
minimumShouldMatch: 1
}
}
}
]

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1db.movies.aggregate([
2 {
3 $search: {
4 "compound": {
5 "should": [
6 {
7 "autocomplete": {
8 "query": "inter",
9 "path": "title",
10 },
11 },
12 {
13 "autocomplete": {
14 "query": "inter",
15 "path": "plot"
16 }
17 }
18 ],
19 "minimumShouldMatch": 1
20 },
21 },
22 },
23 {
24 $limit: 10,
25 },
26 {
27 $project:
28 {
29 "_id": 0,
30 "title": 1,
31 "plot": 1
32 },
33 },
34])

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

Na guia Aggregations da coleção movies , configure cada um dos seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para esse estágio. Clique em Add Stage para adicionar estágios adicionais.

estágio do pipeline
Query

$search

{
"compound": {
"should": [{
"autocomplete": {
"query": "inter",
"path": "title"
}
},
{
"autocomplete": {
"query": "inter",
"path": "plot"
}
}],
"minimumShouldMatch": 1
}
}

$limit

10

$project

{
"_id": 0,
"title": 1,
"plot": 1
}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1using MongoDB.Bson;
2using MongoDB.Bson.Serialization.Attributes;
3using MongoDB.Bson.Serialization.Conventions;
4using MongoDB.Driver;
5using MongoDB.Driver.Search;
6
7public class AutocompleteCompoundExample
8{
9 private const string MongoConnectionString = "<connection-string>";
10
11 public static void Main(string[] args)
12 {
13 // allow automapping of the camelCase database fields to our MovieDocument
14 var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
15 ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
16
17 // connect to your Atlas cluster
18 var mongoClient = new MongoClient(MongoConnectionString);
19 var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
20 var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
21
22 // define and run pipeline
23 var results = moviesCollection.Aggregate()
24 .Search(Builders<MovieDocument>.Search.Compound()
25 .Should(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "inter"))
26 .Should(Builders<MovieDocument>.Search.Autocomplete(movie => movie.Plot, "inter")))
27 .Project<MovieDocument>(Builders<MovieDocument>.Projection
28 .Include(movie => movie.Plot)
29 .Include(movie => movie.Title)
30 .Exclude(movie => movie.Id))
31 .Limit(10)
32 .ToList();
33
34 // print results
35 foreach (var movie in results)
36 {
37 Console.WriteLine(movie.ToJson());
38 }
39 }
40}
41
42[BsonIgnoreExtraElements]
43public class MovieDocument
44{
45 [BsonIgnoreIfDefault]
46 public ObjectId Id { get; set; }
47 public string Plot { get; set; }
48 public string Title { get; set; }
49}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1package main
2
3import (
4 "context"
5 "fmt"
6
7 "go.mongodb.org/mongo-driver/v2/bson"
8 "go.mongodb.org/mongo-driver/v2/mongo"
9 "go.mongodb.org/mongo-driver/v2/mongo/options"
10)
11
12func main() {
13 // connect to your Atlas cluster
14 client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
15 if err != nil {
16 panic(err)
17 }
18 defer client.Disconnect(context.TODO())
19
20 // set namespace
21 collection := client.Database("sample_mflix").Collection("movies")
22
23 // define pipeline stages
24 searchStage := bson.D{
25 {Key: "$search", Value: bson.D{
26 {Key: "compound", Value: bson.D{
27 {Key: "should", Value: bson.A{
28 bson.D{
29 {Key: "autocomplete", Value: bson.D{{Key: "query", Value: "inter"}, {Key: "path", Value: "title"}}},
30 },
31 bson.D{
32 {Key: "autocomplete", Value: bson.D{{Key: "query", Value: "inter"}, {Key: "path", Value: "plot"}}},
33 },
34 }},
35 {Key: "minimumShouldMatch", Value: 1},
36 }},
37 }},
38 }
39 limitStage := bson.D{{Key: "$limit", Value: 10}}
40 projectStage := bson.D{{Key: "$project", Value: bson.D{{Key: "title", Value: 1}, {Key: "plot", Value: 1}, {Key: "_id", Value: 0}}}}
41 // run pipeline
42 cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, limitStage, projectStage})
43 if err != nil {
44 panic(err)
45 }
46
47 // print results
48 var results []bson.D
49 if err = cursor.All(context.TODO(), &results); err != nil {
50 panic(err)
51 }
52 for _, result := range results {
53 fmt.Println(result)
54 }
55}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1import static com.mongodb.client.model.Aggregates.limit;
2import static com.mongodb.client.model.Aggregates.project;
3import static com.mongodb.client.model.Projections.excludeId;
4import static com.mongodb.client.model.Projections.fields;
5import static com.mongodb.client.model.Projections.include;
6import com.mongodb.client.MongoClient;
7import com.mongodb.client.MongoClients;
8import com.mongodb.client.MongoCollection;
9import com.mongodb.client.MongoDatabase;
10import org.bson.Document;
11import java.util.Arrays;
12
13public class AutocompleteQuery {
14
15 public static void main(String[] args) {
16 // connect to your Atlas cluster
17 String uri = "<connection-string>";
18
19 try (MongoClient mongoClient = MongoClients.create(uri)) {
20 // set namespace
21 MongoDatabase database = mongoClient.getDatabase("sample_mflix");
22 MongoCollection<Document> collection = database.getCollection("movies");
23
24 // define pipeline
25 Document agg = new Document(new Document("should", Arrays.asList(new Document("autocomplete",
26 new Document("path", "title")
27 .append("query", "inter")),
28 new Document("autocomplete",
29 new Document("path", "plot")
30 .append("query", "inter"))))
31 .append("minimumShouldMatch", 1L));
32
33 // run pipeline and print results
34 collection.aggregate(Arrays.asList(
35 eq("$search", eq("compound", agg)),
36 limit(10),
37 project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson()));
38 }
39 }
40}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1import com.mongodb.client.model.Aggregates.limit
2import com.mongodb.client.model.Aggregates.project
3import com.mongodb.client.model.Filters.eq
4import com.mongodb.client.model.Projections.*
5import com.mongodb.kotlin.client.coroutine.MongoClient
6import kotlinx.coroutines.runBlocking
7import org.bson.Document
8
9fun main() {
10 val uri = "<connection-string>"
11 val mongoClient = MongoClient.create(uri)
12 val database = mongoClient.getDatabase("sample_mflix")
13 val collection = database.getCollection<Document>("movies")
14
15 runBlocking {
16 val agg = Document(
17 Document(
18 "should", listOf(
19 Document(
20 "autocomplete",
21 Document("path", "title")
22 .append("query", "inter")
23 ),
24 Document(
25 "autocomplete",
26 Document("path", "plot")
27 .append("query", "inter")
28 )
29 )
30 ).append("minimumShouldMatch", 1L)
31 )
32
33 val resultsFlow = collection.aggregate<Document>(
34 listOf(
35 eq("\$search", eq("compound", agg)),
36 limit(10),
37 project(fields(excludeId(), include("title", "plot")))
38 )
39 )
40 resultsFlow.collect { println(it) }
41 }
42 mongoClient.close()
43}

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas cluster
4const uri =
5 "<connection-string>";
6
7const client = new MongoClient(uri);
8
9async function run() {
10 try {
11 await client.connect();
12
13 // set namespace
14 const database = client.db("sample_mflix");
15 const coll = database.collection("movies");
16
17 // define pipeline
18 const agg = [
19 {
20 '$search': {
21 'compound': {
22 'should': [
23 {
24 'autocomplete': {
25 'query': 'inter',
26 'path': 'title'
27 }
28 },
29 {
30 'autocomplete': {
31 'query': 'inter',
32 'path': 'plot'
33 }
34 }
35 ],
36 'minimumShouldMatch': 1
37 }
38 }
39 },
40 {
41 '$limit': 10
42 },
43 {
44 '$project': {
45 '_id': 0,
46 'title': 1,
47 'plot': 1
48 }
49 }
50 ];
51 // run pipelines
52 const result = await coll.aggregate(agg);
53
54 // print results
55 await result.forEach((doc) => console.log(doc));
56 } finally {
57 await client.close();
58 }
59}
60run().catch(console.dir);

A consulta inclui um:

  • $limit para limitar a saída a 10 resultados.

  • Estágio $project para excluir todos os campos, exceto title e plot.

1import pymongo
2
3# connect to your Atlas cluster
4client = pymongo.MongoClient('<connection-string>')
5
6# define pipeline
7pipeline = [
8 {
9 '$search': {
10 'compound': {
11 'should': [
12 {
13 'autocomplete': {
14 'query': 'inter',
15 'path': 'title'
16 }
17 }, {
18 'autocomplete': {
19 'query': 'inter',
20 'path': 'plot'
21 }
22 }
23 ],
24 'minimumShouldMatch': 1
25 }
26 }
27 },
28 {
29 '$limit': 10
30 },
31 {
32 '$project': {
33 '_id': 0, 'title': 1, 'plot': 1
34 }
35 }
36]
37# run pipeline
38result = client["sample_mflix"]["movies"].aggregate(pipeline)
39
40# print results
41for i in result:
42 print(i)

Observação

Seus resultados podem variar

O Atlas Search retorna resultados diferentes, dependendo da estratégia de tokenização configurada na definição do índice para o tipo de preenchimento automático. Para saber mais, consulte Como indexar campos para preenchimento automático.

SCORE: 8.931777000427246 _id: "573a13b8f29313caabd4bcbf"
plot: "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men."
genres: Array
awards: Object
...
title: "Brief Interviews with Hideous Men"
SCORE: 8.2173433303833 _id: "573a13bcf29313caabd56968"
plot: "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring."
genres: Array
awards: Object
...
title: "The International"
SCORE: 8.182762145996094 _id: "573a13aaf29313caabd22bcf"
plot: "A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence."
genres: Array
awards: Object
...
title: "Intermission"
SCORE: 8.182762145996094 _id: "573a1398f29313caabceb7a6"
plot: "A hospital nurse becomes an
imdb: Object
awards: Object
...
title: "Interdevochka"
SCORE: 8.178873062133789 _id: "573a13b5f29313caabd452c6"
plot: "After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress."
genres: Array
awards: Object
...
title: "Interview"
SCORE: 8.158283233642578 _id: "573a1398f29313caabcea77a"
plot: "Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ..."
imdb: Object
awards: Object
...
title: "Intervista"
SCORE: 8.040483474731445 _id: "573a13aef29313caabd2c796"
plot: "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot."
genres: Array
awards: Object
...
title: "The Interpreter"
SCORE: 8.02893352508545 _id: "573a13c3f29313caabd6b5c6"
plot: "Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ..."
genres: Array
awards: Object
...
title: "Boy Interrupted"
SCORE: 8.026378631591797 _id: "573a13d9f29313caabda8982"
plot: "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment."
genres: Array
awards: Object
...
title: "The Internship"
SCORE: 8.01746654510498 _id: "573a13e2f29313caabdbdc4d"
plot: "Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show \"Skylark Tonight.\" When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission."
genres: Array
awards: Object
...
title: "The Interview"
SCORE: 10.543484687805176 _id: "573a13a0f29313caabd02f47"
plot: "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ..."
genres: Array
awards: Object
...
title: "The First Snow of Winter"
SCORE: 10.543484687805176 _id: "573a13d2f29313caabd91d33"
plot: "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier."
genres: Array
awards: Object
...
title: "Captain America: The Winter Soldier"
SCORE: 10.413713455200195 _id: "573a13daf29313caabdac230"
plot: "During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another."
genres: Array
awards: Object
...
title: "First Winter"
SCORE: 9.885751724243164 _id: "573a13d5f29313caabd9a45b"
plot: "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ..."
genres: Array
awards: Object
...
title: "After Fall, Winter"
SCORE: 9.770956039428711 _id: "573a13bdf29313caabd5a0f4"
plot: "Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror."
genres: Array
awards: Object
...
title: "Splinter"
SCORE: 9.532302856445312 _id: "573a13dcf29313caabdb19c7"
plot: "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining..."
genres: Array
awards: Object
...
title: "Winter of Discontent"
SCORE: 5.959532737731934 _id: "573a13c0f29313caabd62f21"
plot: "A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy."
genres: Array
awards: Object
...
title: "Suddenly, Last Winter"
SCORE: 5.959532737731934 _id: "573a13b1f29313caabd35dc7"
plot: "After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy."
genres: Array
awards: Object
...
title: "Kissed by Winter"
SCORE: 5.897221565246582 _id: "573a139af29313caabcf1762"
plot: "A mysterious creature is killing a farmer's livestock."
genres: Array
awards: Object
...
title: "In the Winter Dark"
SCORE: 5.897221565246582 _id: "573a1399f29313caabcecfef"
plot: "Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ..."
genres: Array
awards: Object
...
title: "A Tale of Winter"
SCORE: 8.727951049804688 _id: "573a13b8f29313caabd4bcbf"
plot: "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men."
genres: Array
awards: Object
...
title: "Brief Interviews with Hideous Men"
SCORE: 8.719245910644531 _id: "573a139ff29313caabd01cc6"
plot: "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ..."
genres: Array
awards: Object
...
title: "Sarah, Plain and Tall: Winter's End"
SCORE: 8.694562911987305 _id: "573a13d2f29313caabd91d33"
plot: "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier."
imdb: Object
awards: Object
...
title: "Captain America: The Winter Soldier"
SCORE: 8.581620216369629 _id: "573a13dcf29313caabdb19c7"
plot: "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining..."
genres: Array
awards: Object
...
title: "Winter of Discontent"
SCORE: 8.506681442260742 _id: "573a13a0f29313caabd02f47"
plot: "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ..."
genres: Array
awards: Object
...
title: "The First Snow of Winter"
SCORE: 8.378528594970703 _id: "573a13d5f29313caabd9a45b"
plot: "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ..."
genres: Array
awards: Object
...
title: "After Fall, Winter"
SCORE: 8.373418807983398 _id: "573a13bcf29313caabd56968"
plot: "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring."
genres: Array
awards: Object
...
title: "The International"
SCORE: 8.300098419189453 _id: "573a13aef29313caabd2c796"
plot: "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot."
genres: Array
awards: Object
...
title: "The Interpreter"
SCORE: 8.299515724182129 _id: "573a139af29313caabcf0190"
plot: "Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ..."
genres: Array
awards: Object
...
title: "Mrs. Winterbourne"
SCORE: 8.299029350280762 _id: "573a13d9f29313caabda8982"
plot: "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment."
genres: Array
awards: Object
...
title: "The Internship"

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1[
2 {
3 plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
4 title: 'Brief Interviews with Hideous Men'
5 },
6 {
7 plot: "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
8 title: 'The International'
9 },
10 {
11 plot: 'A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.',
12 title: 'Intermission'
13 },
14 {
15 plot: 'A hospital nurse becomes an "international girl", a prostitute who caters to foreigners with hard currency.',
16 title: 'Interdevochka'
17 },
18 {
19 plot: "After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress.",
20 title: 'Interview'
21 },
22 {
23 plot: 'Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...',
24 title: 'Intervista'
25 },
26 {
27 plot: 'Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.',
28 title: 'The Interpreter'
29 },
30 {
31 plot: "Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ...",
32 title: 'Boy Interrupted'
33 },
34 {
35 plot: 'Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.',
36 title: 'The Internship'
37 },
38 {
39 plot: 'Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show "Skylark Tonight." When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.',
40 title: 'The Interview'
41 }
42]

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1[
2 {
3 plot: 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
4 title: 'The First Snow of Winter'
5 },
6 {
7 plot: 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
8 title: 'Captain America: The Winter Soldier'
9 },
10 {
11 plot: "During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.",
12 title: 'First Winter'
13 },
14 {
15 plot: 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
16 title: 'After Fall, Winter'
17 },
18 {
19 plot: 'Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.',
20 title: 'Splinter'
21 },
22 {
23 plot: 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
24 title: 'Winter of Discontent'
25 },
26 {
27 plot: 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
28 title: 'Suddenly, Last Winter'
29 },
30 {
31 plot: 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
32 title: 'Kissed by Winter'
33 },
34 {
35 plot: "A mysterious creature is killing a farmer's livestock.",
36 title: 'In the Winter Dark'
37 },
38 {
39 plot: 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
40 title: 'A Tale of Winter'
41 }
42]

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1[
2 {
3 plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
4 title: 'Brief Interviews with Hideous Men'
5 },
6 {
7 plot: 'On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...',
8 title: "Sarah, Plain and Tall: Winter's End"
9 },
10 {
11 plot: 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
12 title: 'Captain America: The Winter Soldier'
13 },
14 {
15 plot: 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
16 title: 'Winter of Discontent'
17 },
18 {
19 plot: 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
20 title: 'The First Snow of Winter'
21 },
22 {
23 plot: 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
24 title: 'After Fall, Winter'
25 },
26 {
27 plot: "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
28 title: 'The International'
29 },
30 {
31 plot: 'Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.',
32 title: 'The Interpreter'
33 },
34 {
35 plot: 'Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...',
36 title: 'Mrs. Winterbourne'
37 },
38 {
39 plot: 'Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.',
40 title: 'The Internship'
41 }
42]

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1[
2 {
3 plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
4 title: 'Brief Interviews with Hideous Men'
5 },
6 {
7 plot: "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
8 title: 'The International'
9 },
10 {
11 plot: 'A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.',
12 title: 'Intermission'
13 },
14 {
15 plot: 'A hospital nurse becomes an "international girl", a prostitute who caters to foreigners with hard currency.',
16 title: 'Interdevochka'
17 },
18 {
19 plot: "After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress.",
20 title: 'Interview'
21 },
22 {
23 plot: 'Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...',
24 title: 'Intervista'
25 },
26 {
27 plot: 'Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.',
28 title: 'The Interpreter'
29 },
30 {
31 plot: "Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ...",
32 title: 'Boy Interrupted'
33 },
34 {
35 plot: 'Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.',
36 title: 'The Internship'
37 },
38 {
39 plot: 'Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show "Skylark Tonight." When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.',
40 title: 'The Interview'
41 }
42]

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1[
2 {
3 plot: 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
4 title: 'The First Snow of Winter'
5 },
6 {
7 plot: 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
8 title: 'Captain America: The Winter Soldier'
9 },
10 {
11 plot: "During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.",
12 title: 'First Winter'
13 },
14 {
15 plot: 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
16 title: 'After Fall, Winter'
17 },
18 {
19 plot: 'Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.',
20 title: 'Splinter'
21 },
22 {
23 plot: 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
24 title: 'Winter of Discontent'
25 },
26 {
27 plot: 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
28 title: 'Suddenly, Last Winter'
29 },
30 {
31 plot: 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
32 title: 'Kissed by Winter'
33 },
34 {
35 plot: "A mysterious creature is killing a farmer's livestock.",
36 title: 'In the Winter Dark'
37 },
38 {
39 plot: 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
40 title: 'A Tale of Winter'
41 }
42]

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1[
2 {
3 plot: 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
4 title: 'Brief Interviews with Hideous Men'
5 },
6 {
7 plot: 'On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...',
8 title: "Sarah, Plain and Tall: Winter's End"
9 },
10 {
11 plot: 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
12 title: 'Captain America: The Winter Soldier'
13 },
14 {
15 plot: 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
16 title: 'Winter of Discontent'
17 },
18 {
19 plot: 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
20 title: 'The First Snow of Winter'
21 },
22 {
23 plot: 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
24 title: 'After Fall, Winter'
25 },
26 {
27 plot: "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
28 title: 'The International'
29 },
30 {
31 plot: 'Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.',
32 title: 'The Interpreter'
33 },
34 {
35 plot: 'Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...',
36 title: 'Mrs. Winterbourne'
37 },
38 {
39 plot: 'Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.',
40 title: 'The Internship'
41 }
42]

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1{
2 "plot" : 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
3 "title" : 'Brief Interviews with Hideous Men'
4}
5{
6 "plot" : 'An Interpol agent attempts to expose a high-profile financial institution\'s role in an international arms dealing ring.',
7 "title" : 'The International'
8}
9{
10 "plot" : 'A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.',
11 "title" : 'Intermission'
12}
13{
14 "plot" : 'A hospital nurse becomes an "international girl", a prostitute who caters to foreigners with hard currency.',
15 "title" : 'Interdevochka'
16}
17{
18 "plot" : 'After falling out with his editor, a fading political journalist is forced to interview America\'s most popular soap actress.',
19 "title" : 'Interview'
20}
21{
22 "plot" : 'Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...',
23 "title" : 'Intervista'
24}
25{
26 "plot" : 'Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.',
27 "title" : 'The Interpreter'
28}
29{
30 "plot" : 'Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan\'s bipolar ...',
31 "title" : 'Boy Interrupted'
32}
33{
34 "plot" : 'Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.',
35 "title" : 'The Internship'
36}
37{
38 "plot" : 'Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show "Skylark Tonight." When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.',
39 "title" : 'The Interview'
40}

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1{
2 "plot" : 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
3 "title" : 'The First Snow of Winter'
4}
5{
6 "plot" : 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
7 "title" : 'Captain America: The Winter Soldier'
8}
9{
10 "plot" : 'During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it\'s a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.',
11 "title" : 'First Winter'
12}
13{
14 "plot" : 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
15 "title" : 'After Fall, Winter'
16}
17{
18 "plot" : 'Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.',
19 "title" : 'Splinter'
20}
21{
22 "plot" : 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
23 "title" : 'Winter of Discontent'
24}
25{
26 "plot" : 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
27 "title" : 'Suddenly, Last Winter'
28}
29{
30 "plot" : 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
31 "title" : 'Kissed by Winter'
32}
33{
34 "plot" : 'A mysterious creature is killing a farmer\'s livestock.',
35 "title" : 'In the Winter Dark'
36}
37{
38 "plot" : 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
39 "title" : 'A Tale of Winter'
40}

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1{
2 "plot" : 'A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.',
3 "title" : 'Brief Interviews with Hideous Men'
4}
5{
6 "plot" : 'On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...',
7 "title" : 'Sarah, Plain and Tall: Winter\'s End'
8}
9{
10 "plot" : 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
11 "title" : 'Captain America: The Winter Soldier'
12}
13{
14 "plot" : 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
15 "title" : 'Winter of Discontent'
16}
17{
18 "plot" : 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
19 "title" : 'The First Snow of Winter'
20}
21{
22 "plot" : 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
23 "title" : 'After Fall, Winter'
24}
25{
26 "plot" : 'An Interpol agent attempts to expose a high-profile financial institution\'s role in an international arms dealing ring.',
27 "title" : 'The International'
28}
29{
30 "plot" : 'Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.',
31 "title" : 'The Interpreter'
32}
33{
34 "plot" : 'Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...',
35 "title" : 'Mrs. Winterbourne'
36}
37{
38 "plot" : 'Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.',
39 "title" : 'The Internship'
40}

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1[
2 {plot A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.}
3 {title Brief Interviews with Hideous Men}
4]
5[
6 {plot An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.}
7 {title The International}
8]
9[
10 {plot A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.}
11 {title Intermission}
12]
13[
14 {plot A hospital nurse becomes an "international girl", a prostitute who caters to foreigners with hard currency.}
15 {title Interdevochka}
16]
17[
18 {plot After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress.}
19 {title Interview}
20]
21[
22 {plot Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...}
23 {title Intervista}
24]
25[
26 {plot Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.}
27 {title The Interpreter}
28]
29[
30 {plot Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ...}
31 {title Boy Interrupted}
32]
33[
34 {plot Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.}
35 {title The Internship}
36]
37[
38 {plot Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show "Skylark Tonight." When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.}
39 {title The Interview}
40]

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1[
2 {plot Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...}
3 {title The First Snow of Winter}
4]
5[
6 {plot As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.}
7 {title Captain America: The Winter Soldier}
8]
9[
10 {plot During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.}
11 {title First Winter}
12]
13[
14 {plot WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...}
15 {title After Fall, Winter}
16]
17[
18 {plot Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.}
19 {title Splinter}
20]
21[
22 {plot Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...}
23 {title Winter of Discontent}
24]
25[
26 {plot A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.}
27 {title Suddenly, Last Winter}
28]
29[
30 {plot After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.}
31 {title Kissed by Winter}
32]
33[
34 {plot A mysterious creature is killing a farmer's livestock.}
35 {title In the Winter Dark}
36]
37[
38 {plot Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...}
39 {title A Tale of Winter}
40]

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1[
2 {plot A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.}
3 {title Brief Interviews with Hideous Men}
4]
5[
6 {plot On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...}
7 {title Sarah, Plain and Tall: Winter's End}
8]
9[
10 {plot As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.}
11 {title Captain America: The Winter Soldier}
12]
13[
14 {plot Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...}
15 {title Winter of Discontent}
16]
17[
18 {plot Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...}
19 {title The First Snow of Winter}
20]
21[
22 {plot WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...}
23 {title After Fall, Winter}
24]
25[
26 {plot An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.}
27 {title The International}
28]
29[
30 {plot Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.}
31 {title The Interpreter}
32]
33[
34 {plot Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...}
35 {title Mrs. Winterbourne}
36]
37[
38 {plot Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.}
39 {title The Internship}
40]

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1{
2 "plot" : "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
3 "title" : "Brief Interviews with Hideous Men"
4}
5{
6 "plot" : "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
7 "title" : "The International"
8}
9{
10 "plot" : "A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.",
11 "title" : "Intermission"
12}
13{
14 "plot" : "A hospital nurse becomes an \"international girl\", a prostitute who caters to foreigners with hard currency.",
15 "title" : "Interdevochka"
16}
17{
18 "plot" : "After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress.",
19 "title" : "Interview"
20}
21{
22 "plot" : "Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...",
23 "title" : "Intervista"
24}
25{
26 "plot" : "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.",
27 "title" : "The Interpreter"
28}
29{
30 "plot" : "Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ...",
31 "title" : "Boy Interrupted"
32}
33{
34 "plot" : "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.",
35 "title" : "The Internship"
36}
37{
38 "plot" : "Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show \"Skylark Tonight.\" When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.",
39 "title" : "The Interview"
40}

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1{
2 "plot" : 'Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...',
3 "title" : 'The First Snow of Winter'
4}
5{
6 "plot" : 'As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.',
7 "title" : 'Captain America: The Winter Soldier'
8}
9{
10 "plot" : 'During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it\'s a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.',
11 "title" : 'First Winter'
12}
13{
14 "plot" : 'WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...',
15 "title" : 'After Fall, Winter'
16}
17{
18 "plot" : 'Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.',
19 "title" : 'Splinter'
20}
21{
22 "plot" : 'Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...',
23 "title" : 'Winter of Discontent'
24}
25{
26 "plot" : 'A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.',
27 "title" : 'Suddenly, Last Winter'
28}
29{
30 "plot" : 'After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.',
31 "title" : 'Kissed by Winter'
32}
33{
34 "plot" : 'A mysterious creature is killing a farmer\'s livestock.',
35 "title" : 'In the Winter Dark'
36}
37{
38 "plot" : 'Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...',
39 "title" : 'A Tale of Winter'
40}

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1{
2 "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
3 "title": "Brief Interviews with Hideous Men"
4}
5{
6 "plot": "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...",
7 "title": "Sarah, Plain and Tall\:\ Winter's End"
8}
9{
10 "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history\:\ an assassin known as the Winter Soldier.",
11 "title": "Captain America\:\ The Winter Soldier"
12}
13{
14 "plot": "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...",
15 "title": "Winter of Discontent"
16}
17{
18 "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
19 "title": "The First Snow of Winter"
20}
21{
22 "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
23 "title": "After Fall, Winter"
24}
25{
26 "plot": "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
27 "title": "The International"
28}
29{
30 "plot": "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.",
31 "title": "The Interpreter"
32}
33{
34 "plot": "Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...",
35 "title": "Mrs. Winterbourne"
36}
37{
38 "plot": "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.",
39 "title": "The Internship"
40}

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1Document{{plot=A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men., title=Brief Interviews with Hideous Men}}
2Document{{plot=An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring., title=The International}}
3Document{{plot=A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence., title=Intermission}}
4Document{{plot=A hospital nurse becomes an "international girl", a prostitute who caters to foreigners with hard currency., title=Interdevochka}}
5Document{{plot=After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress., title=Interview}}
6Document{{plot=Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ..., title=Intervista}}
7Document{{plot=Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot., title=The Interpreter}}
8Document{{plot=Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ..., title=Boy Interrupted}}
9Document{{plot=Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment., title=The Internship}}
10Document{{plot=Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show "Skylark Tonight." When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission., title=The Interview}}

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1Document{{plot=Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ..., title=The First Snow of Winter}}
2Document{{plot=As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier., title=Captain America: The Winter Soldier}}
3Document{{plot=During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another., title=First Winter}}
4Document{{plot=WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ..., title=After Fall, Winter}}
5Document{{plot=Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror., title=Splinter}}
6Document{{plot=Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining..., title=Winter of Discontent}}
7Document{{plot=A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy., title=Suddenly, Last Winter}}
8Document{{plot=After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy., title=Kissed by Winter}}
9Document{{plot=A mysterious creature is killing a farmer's livestock., title=In the Winter Dark}}
10Document{{plot=Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ..., title=A Tale of Winter}}

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1Document{{plot=A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men., title=Brief Interviews with Hideous Men}}
2Document{{plot=On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ..., title=Sarah, Plain and Tall: Winter's End}}
3Document{{plot=As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier., title=Captain America: The Winter Soldier}}
4Document{{plot=Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining..., title=Winter of Discontent}}
5Document{{plot=Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ..., title=The First Snow of Winter}}
6Document{{plot=WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ..., title=After Fall, Winter}}
7Document{{plot=An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring., title=The International}}
8Document{{plot=Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot., title=The Interpreter}}
9Document{{plot=Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ..., title=Mrs. Winterbourne}}
10Document{{plot=Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment., title=The Internship}}

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1{
2 "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
3 "title": "Brief Interviews with Hideous Men"
4}
5{
6 "plot": "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
7 "title": "The International"
8}
9{
10 "plot": "A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.",
11 "title": "Intermission"
12}
13{
14 "plot": "A hospital nurse becomes an \"international girl\", a prostitute who caters to foreigners with hard currency.",
15 "title": "Interdevochka"
16}
17{
18 "plot": "After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress.",
19 "title": "Interview"
20}
21{
22 "plot": "Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...",
23 "title": "Intervista"
24}
25{
26 "plot": "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.",
27 "title": "The Interpreter"
28}
29{
30 "plot": "Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ...",
31 "title": "Boy Interrupted"
32}
33{
34 "plot": "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.",
35 "title": "The Internship"
36}
37{
38 "plot": "Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show \"Skylark Tonight.\" When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.",
39 "title": "The Interview"
40}

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1{
2 "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
3 "title": "The First Snow of Winter"
4}
5{
6 "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.",
7 "title": "Captain America: The Winter Soldier"
8}
9{
10 "plot": "During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.",
11 "title": "First Winter"
12}
13{
14 "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
15 "title": "After Fall, Winter"
16}
17{
18 "plot": "Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.",
19 "title": "Splinter"
20}
21{
22 "plot": "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...",
23 "title": "Winter of Discontent"
24}
25{
26 "plot": "A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.",
27 "title": "Suddenly, Last Winter"
28}
29{
30 "plot": "After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.",
31 "title": "Kissed by Winter"
32}
33{
34 "plot": "A mysterious creature is killing a farmer's livestock.",
35 "title": "In the Winter Dark"
36}
37{
38 "plot": "Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...",
39 "title": "A Tale of Winter"
40}

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1{
2 "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
3 "title": "Brief Interviews with Hideous Men"
4}
5{
6 "plot": "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...",
7 "title": "Sarah, Plain and Tall: Winter's End"
8}
9{
10 "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.",
11 "title": "Captain America: The Winter Soldier"
12}
13{
14 "plot": "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...",
15 "title": "Winter of Discontent"
16}
17{
18 "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
19 "title": "The First Snow of Winter"
20}
21{
22 "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
23 "title": "After Fall, Winter"
24}
25{
26 "plot": "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
27 "title": "The International"
28}
29{
30 "plot": "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.",
31 "title": "The Interpreter"
32}
33{
34 "plot": "Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...",
35 "title": "Mrs. Winterbourne"
36}
37{
38 "plot": "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.",
39 "title": "The Internship"
40}

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

1{
2 "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
3 "title": "Brief Interviews with Hideous Men"
4}
5{
6 "plot": "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
7 "title": "The International"
8}
9{
10 "plot": "A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence.",
11 "title": "Intermission"
12}
13{
14 "plot": "A hospital nurse becomes an \"international girl\", a prostitute who caters to foreigners with hard currency.",
15 "title": "Interdevochka"
16}
17{
18 "plot": "After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress.",
19 "title": "Interview"
20}
21{
22 "plot": "Cinecitta, the huge movie studio outside Rome, is 50 years old and Fellini is interviewed by a Japanese TV crew about the films he has made there over the years as he begins production on ...",
23 "title": "Intervista"
24}
25{
26 "plot": "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.",
27 "title": "The Interpreter"
28}
29{
30 "plot": "Boy Interrupted looks at the life of Evan Perry a 15-year-old boy from New York who committed suicide in 2005. The film made by his parents Dana and Hart examines how Evan's bipolar ...",
31 "title": "Boy Interrupted"
32}
33{
34 "plot": "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.",
35 "title": "The Internship"
36}
37{
38 "plot": "Dave Skylark and producer Aaron Rapoport run the celebrity tabloid show \"Skylark Tonight.\" When they land an interview with a surprise fan, North Korean dictator Kim Jong-un, they are recruited by the CIA to turn their trip to Pyongyang into an assassination mission.",
39 "title": "The Interview"
40}

Nesses resultados, os caracteres inter aparecem no início de uma palavra no campo title ou plot. O Atlas Search retorna resultados que começam com a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens que ele cria para os campos title e plot, começando no lado esquerdo da palavra.

1{
2 "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
3 "title": "The First Snow of Winter"
4}
5{
6 "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.",
7 "title": "Captain America: The Winter Soldier"
8}
9{
10 "plot": "During a winter of record-breaking cold; an apocalyptic blackout strands a group of Brooklynites in a remote farmhouse. At first it's a party of sex; drugs; and yoga. But as supplies dwindle; they turn against one another.",
11 "title": "First Winter"
12}
13{
14 "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
15 "title": "After Fall, Winter"
16}
17{
18 "plot": "Trapped in an isolated gas station by a voracious Splinter parasite that transforms its still living victims into deadly hosts, a young couple and an escaped convict must find a way to work together to survive this primal terror.",
19 "title": "Splinter"
20}
21{
22 "plot": "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...",
23 "title": "Winter of Discontent"
24}
25{
26 "plot": "A couple engage in discussions with people on the street, politicians and religious leaders about the discrimination against gays and lesbians in Italy.",
27 "title": "Suddenly, Last Winter"
28}
29{
30 "plot": "After her son is hospitalized, a doctor cheats on her husband with a snow plow driver who is a suspect in her investigation of the recent death of a young Arab boy.",
31 "title": "Kissed by Winter"
32}
33{
34 "plot": "A mysterious creature is killing a farmer's livestock.",
35 "title": "In the Winter Dark"
36}
37{
38 "plot": "Felicie and Charles have a serious if whirlwind holiday romance. Due to a mix-up on addresses they lose contact, and five years later at Christmas-time Felicie is living with her mother in ...",
39 "title": "A Tale of Winter"
40}

Nesses resultados, os caracteres inter aparecem no final de uma palavra no campo title ou plot. O Atlas Search retorna resultados que terminam com a string de query especificada porque o Atlas Search combina o termo de query com os tokens que ele cria para os campos title e plot começando do lado direito das palavras, conforme delimitado pelo analisador.

1{
2 "plot": "A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men.",
3 "title": "Brief Interviews with Hideous Men"
4}
5{
6 "plot": "On a cold winter day a mysterious stranger shows up at the Witting Farm. He is John Witting, the father of Jacob Witting who abandoned Jacob and his mother when Jacob was little. Jacob is ...",
7 "title": "Sarah, Plain and Tall: Winter's End"
8}
9{
10 "plot": "As Steve Rogers struggles to embrace his role in the modern world, he teams up with another super soldier, the black widow, to battle a new threat from old history: an assassin known as the Winter Soldier.",
11 "title": "Captain America: The Winter Soldier"
12}
13{
14 "plot": "Set against the momentous backdrop of the whirlwind Tahrir Square protests, Winter of discontent poetically explores the anguish of a victim state terror in 2009, presaging and intertwining...",
15 "title": "Winter of Discontent"
16}
17{
18 "plot": "Sean is a little duck with a big problem. Due to a mishap with a jet aircraft Sean misses the annual migration South and has to face the winter alone. However, he is befriended by a water ...",
19 "title": "The First Snow of Winter"
20}
21{
22 "plot": "WINTER is a dangerous, sexy, poignant and at times darkly funny story about two people who desperately want intimacy but have fashioned lives of reclusivity and emotional fracture which ...",
23 "title": "After Fall, Winter"
24}
25{
26 "plot": "An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring.",
27 "title": "The International"
28}
29{
30 "plot": "Political intrigue and deception unfold inside the United Nations, where a U.S. Secret Service agent is assigned to investigate an interpreter who overhears an assassination plot.",
31 "title": "The Interpreter"
32}
33{
34 "plot": "Connie Doyle is eighteen and pregnant when her boyfriend kicks her out. She accidentally ends up on a train where she meets Hugh Winterbourne and his wife Patricia who is pregnant. The ...",
35 "title": "Mrs. Winterbourne"
36}
37{
38 "plot": "Two salesmen whose careers have been torpedoed by the digital age find their way into a coveted internship at Google, where they must compete with a group of young, tech-savvy geniuses for a shot at employment.",
39 "title": "The Internship"
40}

Nesses resultados, os caracteres inter aparecer em algum lugar em uma palavra no campo title ou plot. O Atlas Search retorna resultados com palavras que contêm a string de query especificada porque o Atlas Search faz a correspondência entre o termo da query e os tokens entre 3 e 7 caracteres de comprimento que ele cria para os campos title e plot.

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

Copie e cole a seguinte consulta no Query Editor e, em seguida, clique no botão Search no Query Editor.

[
{
"$searchMeta": {
"facet": {
"operator": {
"autocomplete": {
"query": "Gravity",
"path": "title"
}
},
"facets": {
"titleFacet": {
"type": "string",
"path": "title"
}
}
}
}
}
]

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1db.movies.aggregate([{
2 $searchMeta: {
3 "facet": {
4 "operator": {
5 "autocomplete": {
6 "query": "Gravity",
7 "path": "title"
8 }
9 },
10 "facets": {
11 "titleFacet": {
12 "type": "string",
13 "path": "title"
14 }
15 }
16 }
17 }
18}])

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

Na aba Aggregations da coleção movies, configure os seguintes estágios de pipeline selecionando o estágio na lista suspensa e adicionando a consulta para o estágio.

estágio do pipeline
Query

$searchMeta

{
facet: {
operator: {
autocomplete: {
path: 'title',
query: 'Gravity'
}
},
facets: {
titleFacet: {
type: 'string',
path: 'title'
}
}
}
}

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1using MongoDB.Bson;
2using MongoDB.Bson.Serialization.Attributes;
3using MongoDB.Bson.Serialization.Conventions;
4using MongoDB.Driver;
5using MongoDB.Driver.Search;
6
7public class AutocompleteFacetExample
8{
9 private const string MongoConnectionString = "<connection-string>";
10
11 public static void Main(string[] args)
12 {
13 // allow automapping of the camelCase database fields to our MovieDocument
14 var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
15 ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
16
17 // connect to your Atlas cluster
18 var mongoClient = new MongoClient(MongoConnectionString);
19 var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
20 var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
21
22 // define and run pipeline
23 var results = moviesCollection.Aggregate()
24 .SearchMeta(Builders<MovieDocument>.Search.Facet(
25 Builders<MovieDocument>.Search.Autocomplete(movie => movie.Title, "Gravity"),
26 Builders<MovieDocument>.SearchFacet.String("titleFacet", movie => movie.Title, 100)))
27 .Single();
28
29 // print results
30 Console.WriteLine(results.ToJson());
31 }
32}
33
34[BsonIgnoreExtraElements]
35public class MovieDocument
36{
37 [BsonIgnoreIfDefault]
38 public ObjectId Id { get; set; }
39 public string Title { get; set; }
40}

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1package main
2
3import (
4 "context"
5 "fmt"
6
7 "go.mongodb.org/mongo-driver/v2/bson"
8 "go.mongodb.org/mongo-driver/v2/mongo"
9 "go.mongodb.org/mongo-driver/v2/mongo/options"
10)
11
12func main() {
13 // connect to your Atlas cluster
14 client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>"))
15 if err != nil {
16 panic(err)
17 }
18 defer client.Disconnect(context.TODO())
19
20 // set namespace
21 collection := client.Database("sample_mflix").Collection("movies")
22
23 // define pipeline stages
24 searchMetaStage := bson.D{{Key: "$searchMeta", Value: bson.M{
25 "facet": bson.M{
26 "operator": bson.M{
27 "autocomplete": bson.M{
28 "path": "title", "query": "Gravity",
29 },
30 },
31 "facets": bson.M{
32 "titleFacet": bson.M{
33 "path": "title", "type": "string",
34 },
35 },
36 },
37 }}}
38
39 // run pipeline
40 cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchMetaStage})
41 if err != nil {
42 panic(err)
43 }
44
45 // print results
46 var results []bson.D
47 if err = cursor.All(context.TODO(), &results); err != nil {
48 panic(err)
49 }
50 for _, result := range results {
51 fmt.Println(result)
52 }
53}

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1import com.mongodb.client.MongoClient;
2import com.mongodb.client.MongoClients;
3import com.mongodb.client.MongoCollection;
4import com.mongodb.client.MongoDatabase;
5import org.bson.Document;
6
7import java.util.Arrays;
8
9public class FacetAutocompleteExample {
10 public static void main(String[] args) {
11 // connect to your Atlas cluster
12 String uri = "<connection-string>";
13
14 try (MongoClient mongoClient = MongoClients.create(uri)) {
15 // set namespace
16 MongoDatabase database = mongoClient.getDatabase("sample_mflix");
17 MongoCollection<Document> collection = database.getCollection("movies");
18
19 // define pipeline
20 Document agg = new Document("$searchMeta", new Document("facet",
21 new Document("operator",
22 new Document("autocomplete",
23 new Document("path", "title")
24 .append("query", "Gravity")))
25 .append("facets",
26 new Document("titleFacet",
27 new Document("type", "string").append("path", "title"))
28 )));
29 // run pipeline and print results
30 collection.aggregate(Arrays.asList(agg))
31 .forEach(doc -> System.out.println(doc.toJson()));
32
33 }
34 }
35}

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1import com.mongodb.client.model.Aggregates.limit
2import com.mongodb.client.model.Aggregates.project
3import com.mongodb.client.model.Filters.eq
4import com.mongodb.client.model.Projections.*
5import com.mongodb.kotlin.client.coroutine.MongoClient
6import kotlinx.coroutines.runBlocking
7import org.bson.Document
8
9fun main() {
10 val uri = "<connection-string>"
11 val mongoClient = MongoClient.create(uri)
12 val database = mongoClient.getDatabase("sample_mflix")
13 val collection = database.getCollection<Document>("movies")
14
15 runBlocking {
16 val agg = Document(
17 "\$searchMeta", Document(
18 "facet",
19 Document(
20 "operator",
21 Document(
22 "autocomplete",
23 Document("path", "title")
24 .append("query", "Gravity")
25 )
26 )
27 .append(
28 "facets",
29 Document(
30 "titleFacet",
31 Document("type", "string").append("path", "title")
32 )
33 )
34 )
35 )
36
37 val resultsFlow = collection.aggregate<Document>(listOf(agg))
38 resultsFlow.collect { println(it) }
39 }
40 mongoClient.close()
41}

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1const { MongoClient } = require("mongodb");
2
3// connect to your Atlas cluster
4const uri =
5 "<connection-string>";
6
7const client = new MongoClient(uri);
8
9async function run() {
10 try {
11 await client.connect();
12
13 // set namespace
14 const database = client.db("sample_mflix");
15 const coll = database.collection("movies");
16
17 // define pipeline
18 const agg = [{$searchMeta: {facet: {
19 operator: {
20 autocomplete: {path: "title", query: "Gravity"}
21 },
22 facets: {
23 titleFacet: {type: "string", path: "title"}
24 }}}}];
25 // run pipeline
26 const result = coll.aggregate(agg);
27
28 // print results
29 await result.forEach((doc) => console.dir(JSON.stringify(doc)));
30 } finally {
31 await client.close();
32 }
33}
34run().catch(console.dir);

A seguinte query utiliza o estágio $searchMeta para retornar valores únicos de filmes que contêm o termo Gravity no campo title da coleção movies. A definição do índice desta consulta limita os resultados retornados de um índice stringFacet , onde os tipos autocompletar e stringFacet estão no campo title .

1import pymongo
2
3# connect to your Atlas cluster
4client = pymongo.MongoClient('<connection-string>')
5
6# define pipeline
7pipeline = [{"$searchMeta": {
8 "facet": {
9 "operator": {
10 "autocomplete": {"path": "title", "query": "Gravity"}
11 },
12 "facets": {
13 "titleFacet": {"type": "string", "path": "title"}
14 }}}}]
15# run pipeline
16result = client["sample_mflix"]["movies"].aggregate(pipeline)
17
18# print results
19for i in result:
20 print(i)
count: Object
lowerBound: 5
facet: Object
titleFacet: Object
buckets: Array (3)
0: Object
_id: "Gravity"
count: 3
1: Object
_id: "Defying Gravity"
count: 1
2: Object
_id: "Laws of Gravity"
count: 1

O Search Tester pode não exibir todos os campos nos documentos que ele retorna. Para exibir todos os campos, incluindo o campo que você especifica no caminho da query, expanda o documento nos resultados.

1[{
2 count: { lowerBound: Long("5") },
3 facet: {
4 titleFacet: {
5 buckets: [
6 { _id: 'Gravity', count: Long("3") },
7 { _id: 'Defying Gravity', count: Long("1") },
8 { _id: 'Laws of Gravity', count: Long("1") }
9 ]
10 }
11 }
12}]
1[{
2 count: { lowerBound: Long("5") },
3 facet: {
4 titleFacet: {
5 buckets: [
6 { _id: 'Gravity', count: Long("3") },
7 { _id: 'Defying Gravity', count: Long("1") },
8 { _id: 'Laws of Gravity', count: Long("1") }
9 ]
10 }
11 }
12}]
1{
2 "count" : {
3 "lowerBound" : NumberLong(5),
4 "total" : null
5 },
6 "facet" : {
7 "titleFacet" : {
8 "buckets" : [
9 {
10 "_id" : "Gravity",
11 "count" : NumberLong(3)
12 },
13 {
14 "_id" : "Defying Gravity",
15 "count" : NumberLong(1)
16 },
17 {
18 "_id" : "Laws of Gravity",
19 "count" : NumberLong(1)
20 }]
21 }
22 }
23}
1[
2 {
3 count [{
4 lowerBound 5}
5 ]
6 }
7 {
8 facet [{
9 titleFacet [{
10 buckets [
11 [{_id Gravity} {count 3}]
12 [{_id Defying Gravity} {count 1}]
13 [{_id Laws of Gravity} {count 1}]
14 ]
15 }]}]
16 }
17]
1{
2 "count": {
3 "lowerBound": 5
4 },
5 "facet": {
6 "titleFacet": {
7 "buckets": [
8 {
9 "_id": "Gravity",
10 "count": 3
11 },
12 {
13 "_id": "Defying Gravity",
14 "count": 1
15 },
16 {
17 "_id": "Laws of Gravity",
18 "count": 1
19 }]
20 }
21 }
22}
1Document{{count=Document{{lowerBound=5}},
2facet=Document{{titleFacet=Document{{buckets=[Document{{_id=Gravity,
3count=3}}, Document{{_id=Defying Gravity, count=1}}, Document{{_id=Laws
4of Gravity, count=1}}]}}}}}}
1'{
2 "count":{
3 "lowerBound":5
4 },
5 "facet":{
6 "titleFacet":{
7 "buckets":[
8 {
9 "_id":"Gravity",
10 "count":3
11 },
12 {
13 "_id":"Defying Gravity",
14 "count":1
15 },
16 {
17 "_id":"Laws of Gravity",
18 "count":1
19 }
20 ]
21 }
22 }
23 }'
1{
2 'count': {'lowerBound': 5},
3 'facet': {
4 'titleFacet': {
5 'buckets': [
6 {
7 '_id': 'Gravity',
8 'count': 3
9 },
10 {
11 '_id': 'Defying Gravity',
12 'count': 1
13 },
14 {
15 '_id': 'Laws of Gravity',
16 'count': 1
17 }]
18 }
19 }
20}

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

[
{ title: 'Gravity' },
{ title: 'Gravity' },
{ title: 'Gravity' },
{ title: 'Defying Gravity' },
{ title: 'Laws of Gravity' }
]

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

[
{ title: 'Gravity' },
{ title: 'Gravity' },
{ title: 'Gravity' },
{ title: 'Defying Gravity' },
{ title: 'Laws of Gravity' }
]

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

{ "title" : "Gravity" }
{ "title" : "Gravity" }
{ "title" : "Gravity" }
{ "title" : "Defying Gravity" }
{ "title" : "Laws of Gravity" }

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

[{title Gravity}],
[{title Gravity}],
[{title Gravity}],
[{title Defying Gravity}],
[{title Laws of Gravity}]

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

{"title": "Gravity"}
{"title": "Gravity"}
{"title": "Gravity"}
{"title": "Defying Gravity"}
{"title": "Laws of Gravity"}

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

Document{{title=Gravity}}
Document{{title=Gravity}}
Document{{title=Gravity}}
Document{{title=Defying Gravity}}
Document{{title=Laws of Gravity}}

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

{ title: 'Gravity' }
{ title: 'Gravity' }
{ title: 'Gravity' }
{ title: 'Defying Gravity' }
{ title: 'Laws of Gravity' }

O Atlas Search retorna documentos que contêm o termo Gravity no campo title. O campo count nos resultados indica o número de documentos na coleção com o mesmo título. Nos resultados, a Atlas Search encontrou três documentos na coleção com Gravity como seu título, mas omitiu os títulos duplicados e retornou apenas um documento correspondente.

Para ver os títulos duplicados conforme mostrado nos resultados abaixo, execute a query de operador anterior de preenchimento automático sem facetas e use o estágio $search. Você também deve usar o estágio $project para excluir todos os campos, exceto title.

{ 'title': 'Gravity' }
{ 'title': 'Gravity' }
{ 'title': 'Gravity' }
{ 'title': 'Defying Gravity' }
{ 'title': 'Laws of Gravity' }

Para mais informações, consulte Como Executar Consultas de Atlas Search de Preenchimento Automático e Correspondência Parcial.

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