Definición
autocompleteEl operador
autocompletebusca una palabra o frase que contenga una secuencia de caracteres de una cadena de entrada incompleta. Los campos que se consultan con el operadorautocompletedeben estar indexados con el tipo de dato de autocompletado en la definición del índice de la colección. Para saber cómo configurar el índice para el autocompletado, consulte Cómo indexar campos para completar automáticamente.
Nota
La búsqueda de MongoDB puede devolver resultados inexactos para consultas con más de tres palabras en una sola cadena.
Ejemplos de casos de uso
Se puede utilizar el operador autocomplete con aplicaciones de búsqueda mientras escribe para predecir palabras con precisión creciente a medida que se ingresan caracteres en el campo de búsqueda de la aplicación. autocomplete devuelve resultados que contienen palabras predichas según la estrategia de tokenización especificada en la definición de índice para la autocompletación.
Si desea crear sugerencias o menús desplegables con el operador de MongoDB autocomplete Search, le recomendamos consultar una colección de términos de búsqueda sugeridos o usar términos de búsqueda anteriores para rellenar el menú desplegable. Si crea una colección independiente de términos de búsqueda sugeridos, puede definir asignaciones de sinónimos en su índice de MongoDB Search para buscar en ella las palabras exactas o alternativas. Puede realizar un seguimiento de los términos de búsqueda y consultar sus métricas para crear su colección.
Sintaxis
autocomplete tiene la siguiente sintaxis:
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 }
opciones
Campo | Tipo | Descripción | Necesidad | predeterminado | ||||
|---|---|---|---|---|---|---|---|---|
| cadena o matriz de cadenas | Cadena o cadenas que se buscarán. Si una cadena contiene varios términos, MongoDB Search también busca una coincidencia para cada término por separado. | sí | |||||
| string | Campo indexado para búsqueda. Este campo debe indexarse como El operador Para ver un ejemplo de una | sí | |||||
| Objeto | Habilitar la búsqueda difusa. Encuentra cadenas similares al término o términos de búsqueda. | no | |||||
fuzzy.maxEdits | entero | Número máximo de ediciones de un solo carácter necesarias para encontrar el término de búsqueda especificado. El valor puede ser | no |
| ||||
fuzzy.prefixLength | entero | Número de caracteres al comienzo de cada término del resultado que deben coincidir exactamente. | no |
| ||||
fuzzy.maxExpansions | entero | Cantidad máxima de variaciones a generar y para búsqueda. Este límite aplica por token. | no |
| ||||
| Objeto | Puntuación para asignar a los resultados de búsqueda coincidentes. Utilice una de las siguientes opciones para modificar la puntuación predeterminada:
Para obtener información sobre el uso de | no | |||||
| string | Orden de búsqueda de tokens. El valor puede ser uno de los siguientes:
| no |
|
Comportamiento de puntuación
De forma predeterminada, el El operador deautocompletar utiliza el bm25 algoritmo de similitud para puntuar los documentos según su relevancia para la consulta.
Puede cambiar el algoritmo de similitud utilizado especificando uno diferente en la similarity.type propiedad para los autocomplete campos de la definición del índice de MongoDB Search. Para saber cómo configurar un índice de MongoDB Search para el autocomplete tipo, consulte Cómo indexar campos para autocompletar.
Para obtener más información sobre los algoritmos de similitud admitidos, consulta Detalles de la puntuación.
Los resultados de consulta del operador autocomplete que coinciden exactamente reciben una puntuación menor que los resultados que no lo son. MongoDB Search no puede determinar si una cadena de consulta coincide exactamente con un texto indexado si solo se especifican las subcadenas del token indexado con autocompletado. Para obtener una puntuación mayor para las coincidencias exactas, pruebe la siguiente solución alternativa:
Nota
La siguiente solución alternativa no garantiza puntuaciones más altas para coincidencias exactas en todos los casos.
Indexe el campo como tipo de cadena y de autocompletar.
MongoDB Search
autocompleteaumenta las coincidencias exactas cuando un campoautocompletetambién está indexado como unstring, aumentando así la puntuación de coincidencias exactas.Consulta utilizando el operador compuesto.
Para ver una demostración de esta solución alternativa, consulte Buscar en varios campos.
Ejemplos
Los siguientes ejemplos utilizan la movies colección de la sample_mflix base de datos. Si cargó el conjunto de datos de ejemplo en su clúster, puede crear el índice estático para el autocompletado y ejecutar las consultas de ejemplo en su clúster.
Definición del índice
Las siguientes pestañas contienen ejemplos de definiciones de índice edgeGram rightEdgeGrampara nGram las estrategias de tokenización, y. Además del tipo de autocompletado, los ejemplos de definiciones de índice incluyen los tipos de cadena y token en el title campo.
1 { 2 "mappings": { 3 "dynamic": false, 4 "fields": { 5 "title": [ 6 { 7 "type": "token" 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": "token" 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": "token" 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 }
➤ Utilice el menú desplegable Seleccione su lenguaje para establecer el idioma del ejemplo en esta página.
Para ver y editar la sintaxis de la consulta en el Search Tester:
En Atlas, vaya a la Search & Vector Search página de su clúster.
Puedes ir a la página de búsqueda de MongoDB desde la opción Search & Vector Search o desde el Data Explorer.
Si aún no aparece, se debe seleccionar la organización que contiene el proyecto en el menú Organizations de la barra de navegación.
Si aún no se muestra, seleccione su proyecto en el menú Projects de la barra de navegación.
En la barra lateral, haz clic en Search & Vector Search en la sección Database.
Si no tienes clústeres, haz clic en Create cluster para crear uno. Para obtener más información, consulta Crear un clúster.
Si el proyecto tiene varios clústeres, se debe seleccionar el clúster que se desea usar en el menú desplegable Select cluster y luego se debe hacer clic en Go to Search.
Aparece la página de Búsqueda y Búsqueda Vectorial.
Si aún no aparece, se debe seleccionar la organización que contiene el proyecto en el menú Organizations de la barra de navegación.
Si aún no se muestra, seleccione su proyecto en el menú Projects de la barra de navegación.
En la barra lateral, haz clic en Data Explorer en la sección Database.
Expanda la base de datos y seleccione la colección.
Haga clic en la pestaña Indexes para la colección.
Haga clic en el enlace Search and Vector Search en el banner.
Aparece la página de Búsqueda y Búsqueda Vectorial.
Ejecute el siguiente comando en mongosh el sample_mflix indicador para utilizar la base de datos:
use sample_mflix
Para saber cómo ejecutar las siguientes consultas en,mongosh consulte Definir su consulta.
Para aprender a ejecutar las siguientes consultas en MongoDB Compass, consulte Definir su consulta.
Para aprender a ejecutar las siguientes consultas utilizando el controlador C# de MongoDB, consulte Definir su consulta.
Para aprender a ejecutar las siguientes consultas utilizando el controlador MongoDB Go, consulte Definir su consulta.
Para aprender a ejecutar las siguientes consultas utilizando el controlador Java de MongoDB, consulte Definir su consulta.
Para aprender a ejecutar las siguientes queries utilizando el driver de MongoDB Kotlin, consulta Define tu query.
Para aprender a ejecutar las siguientes consultas utilizando el controlador de nodo MongoDB, consulte Definir su consulta.
Para aprender a ejecutar las siguientes consultas utilizando el controlador de PyMongo, consulte Definir su consulta.
Ejemplo básico
La siguiente consulta busca películas con los caracteres off en el campo title.
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { $search: { autocomplete: { path: "title", query: "off" } } } ]
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | ||||||
|---|---|---|---|---|---|---|---|
| | ||||||
| | ||||||
| |
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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()); } } } [] public class MovieDocument { [] public ObjectId Id { get; set; } public string Title { get; set; } }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
package main import ( "context" "fmt" "go.mongodb.org/mongo-driver/v2/bson" "go.mongodb.org/mongo-driver/v2/mongo" "go.mongodb.org/mongo-driver/v2/mongo/options" ) func main() { // connect to your Atlas cluster client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>")) if err != nil { panic(err) } defer client.Disconnect(context.TODO()) // set namespace collection := client.Database("sample_mflix").Collection("movies") // define pipeline stages searchStage := bson.D{{Key: "$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) } }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import static com.mongodb.client.model.Aggregates.limit; import static com.mongodb.client.model.Aggregates.project; import static com.mongodb.client.model.Projections.excludeId; import static com.mongodb.client.model.Projections.fields; import static com.mongodb.client.model.Projections.include; import com.mongodb.client.MongoClient; import com.mongodb.client.MongoClients; import com.mongodb.client.MongoCollection; import com.mongodb.client.MongoDatabase; import org.bson.Document; import java.util.Arrays; public class AutocompleteBasicExample { public static void main(String[] args) { // connect to your Atlas cluster String uri = "<connection-string>"; try (MongoClient mongoClient = MongoClients.create(uri)) { // set namespace MongoDatabase database = mongoClient.getDatabase("sample_mflix"); MongoCollection<Document> collection = database.getCollection("movies"); // define pipeline Document agg = new Document("$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())); } } }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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);
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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() }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import pymongo # connect to your Atlas cluster client = pymongo.MongoClient('<connection-string>') # define pipeline pipeline = [ {"$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)
Nota
Sus resultados pueden variar
La búsqueda de MongoDB devuelve diferentes resultados según la estrategia de tokenización configurada en la definición del índice para el tipo de autocompletado. Para obtener más información, consulte Cómo indexar campos para el autocompletado.
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"
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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' }
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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' }
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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' }
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los 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' }
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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' }
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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' }
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los 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" }
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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" }
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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" }
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los 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}]
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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}]
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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}]
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los 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"}
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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"}
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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"}
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los títulos.
1 Document{{title=Off Beat}} 2 Document{{title=Off the Map}} 3 Document{{title=Off and Running}} 4 Document{{title=Hands off Mississippi}} 5 Document{{title=Taking Off}} 6 Document{{title=Face/Off}} 7 Document{{title=Noises Off...}} 8 Document{{title=Brassed Off}} 9 Document{{title=Benji: Off the Leash!}} 10 Document{{title=Set It Off}}
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los títulos.
1 Document{{title=Noises Off...}} 2 Document{{title=Taking Off}} 3 Document{{title=Brassed Off}} 4 Document{{title=Face/Off}} 5 Document{{title=Set It Off}} 6 Document{{title=Hands off Mississippi}} 7 Document{{title=Ferris Bueller's Day Off}} 8 Document{{title=Off Beat}} 9 Document{{title=Benji: Off the Leash!}} 10 Document{{title=Off and Running}}
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los títulos.
1 Document{{title=Taking Off}} 2 Document{{title=Noises Off...}} 3 Document{{title=Brassed Off}} 4 Document{{title=Face/Off}} 5 Document{{title=Off Beat}} 6 Document{{title=Hands off Mississippi}} 7 Document{{title=Off the Map}} 8 Document{{title=Set It Off}} 9 Document{{title=Off and Running}} 10 Document{{title=Benji: Off the Leash!}}
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los 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' }
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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' }
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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' }
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los 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'}
En los resultados anteriores, los caracteres off aparecen en el lado izquierdo de una palabra en todos los 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'}
En los resultados anteriores, los caracteres off aparecen en el lado derecho de una palabra en todos los 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'}
En los resultados anteriores, los caracteres off aparecen en diferentes posiciones en los títulos.
Ejemplo difuso
Ejemplo básico
La siguiente consulta busca películas con los caracteres pre en el campo title. La consulta utiliza:
Campo | Descripción |
| Indica que solo se permite una variación de carácter en la cadena de consulta |
| Indica que el primer carácter de la cadena de consulta |
| Indica que se pueden considerar hasta doscientos cincuenta y seis términos similares para |
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el 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 } } ])
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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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()); } } } [] public class MovieDocument { [] 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)
Nota
Sus resultados pueden variar
La búsqueda de MongoDB devuelve diferentes resultados según la estrategia de tokenización configurada en la definición del índice para el tipo de autocompletado. Para obtener más información, consulte Cómo indexar campos para el autocompletado.
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"
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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' }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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" }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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' }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los 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' }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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" }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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' }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los 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" }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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" }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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" }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los 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}]
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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}]
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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}]
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los 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'}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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"}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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"}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los títulos.
1 Document{{title=The Perils of Pauline}} 2 Document{{title=The Private Life of Henry VIII.}} 3 Document{{title=Prelude to War}} 4 Document{{title=Sitting Pretty}} 5 Document{{title=The Prisoner}} 6 Document{{title=Chi lavora è perduto (In capo al mondo)}} 7 Document{{title=Profound Desires of the Gods}} 8 Document{{title=The Protagonists}} 9 Document{{title=Property Is No Longer a Theft}} 10 Document{{title=Premiya}}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los títulos.
1 Document{{title=The Four Horsemen of the Apocalypse}} 2 Document{{title=Folies Bergère de Paris}} 3 Document{{title=Mother Wore Tights}} 4 Document{{title=El hombre sin rostro}} 5 Document{{title=Il segno di Venere}} 6 Document{{title=Creature from the Black Lagoon}} 7 Document{{title=Susan Slept Here}} 8 Document{{title=Tell Them Willie Boy Is Here}} 9 Document{{title=Pilatus und andere - Ein Film fèr Karfreitag}} 10 Document{{title=Watch Out, We're Mad}}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los títulos.
1 Document{{title=The Four Horsemen of the Apocalypse}} 2 Document{{title=The Private Life of Henry VIII.}} 3 Document{{title=David Copperfield}} 4 Document{{title=The Prisoner of Zenda}} 5 Document{{title=People on the Alps}} 6 Document{{title=Prelude to War}} 7 Document{{title=The Pride of the Yankees}} 8 Document{{title=Phantom of the Opera}} 9 Document{{title=The Curse of the Cat People}} 10 Document{{title=The People Against O'Hara}}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los 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' }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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" }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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' }
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los 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'}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado izquierdo de la palabra en todos los 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"}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter y con el primer carácter constante en el lado derecho de la palabra en todos los 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'}
Estos resultados muestran las palabras que se predicen para la cadena de consulta con una modificación de carácter en diferentes posiciones de las palabras en los títulos.
Ejemplo de coincidencia parcial
Las siguientes consultas demuestran cómo buscar en los campos especificados una palabra o frase que contenga la secuencia de caracteres que especifique en su consulta.
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
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
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 db.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' } ] } ] } ]
La siguiente consulta utiliza el operador para consultar el campo plot de la colección sample_mflix.movies. La consulta incluye:
$limitetapa para limitar la salida a 5 resultados$projectetapa para excluir todos los campos exceptotitleyplot
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
Etapa de tubería | Query | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | ||||||||||||||||
| | ||||||||||||||||
| |
Si habilitó Auto Preview, MongoDB Compass muestra los siguientes documentos junto a la etapa de canalización $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 ]
El ejemplo de código realiza las siguientes tareas:
Importa los paquetes y dependencias de
mongodb.Establece una conexión con su clúster.
Ejecuta una query que utiliza:
Itera sobre el cursor para imprimir los documentos que coinciden con el query.
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 using MongoDB.Bson; 2 using MongoDB.Bson.Serialization.Attributes; 3 using MongoDB.Bson.Serialization.Conventions; 4 using MongoDB.Driver; 5 using MongoDB.Driver.Search; 6 7 public 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 [] 49 public class MovieDocument { 50 [] 51 public ObjectId Id { get; set; } 52 public string Plot { get; set; } 53 public string Title { get; set; } 54 [] 55 public List<SearchHighlight> Highlights { get; set; } 56 }
La siguiente consulta utiliza el operador para consultar el campo plot de la colección sample_mflix.movies. La consulta incluye:
$limitetapa para limitar la salida a 5 resultados$projectetapa para excluir todos los campos exceptotitleyplot
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 package main 2 3 import ( 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 14 type Movie struct { 15 title string 16 plot string 17 } 18 19 func 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 }
El ejemplo de código realiza las siguientes tareas:
Importa los paquetes y dependencias de
mongodb.Establece una conexión con su clúster.
Ejecuta una query que utiliza:
Itera sobre el cursor para imprimir los documentos que coinciden con el query.
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 import java.util.Arrays; 2 import static com.mongodb.client.model.Aggregates.limit; 3 import static com.mongodb.client.model.Aggregates.project; 4 import static com.mongodb.client.model.Projections.excludeId; 5 import static com.mongodb.client.model.Projections.fields; 6 import static com.mongodb.client.model.Projections.include; 7 import com.mongodb.client.MongoClient; 8 import com.mongodb.client.MongoClients; 9 import com.mongodb.client.MongoCollection; 10 import com.mongodb.client.MongoDatabase; 11 import org.bson.Document; 12 13 public 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 }
El ejemplo de código realiza las siguientes tareas:
Importa los paquetes y dependencias de
mongodb.Establece una conexión con su clúster.
Ejecuta una query que utiliza:
Imprime los documentos que coinciden con la consulta de la instancia
AggregateFlow.
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 import com.mongodb.client.model.Aggregates.limit 2 import com.mongodb.client.model.Aggregates.project 3 import com.mongodb.client.model.Projections.* 4 import com.mongodb.kotlin.client.coroutine.MongoClient 5 import kotlinx.coroutines.runBlocking 6 import org.bson.Document 7 8 fun 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 }
El ejemplo de código realiza las siguientes tareas:
Importa
mongodb, controlador Node.js de MongoDB.Crea una instancia de la clase
MongoClientpara establecer una conexión a su clúster.Ejecuta una query que utiliza:
Itera sobre el cursor para imprimir los documentos que coinciden con el query.
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 const MongoClient = require("mongodb").MongoClient; 2 const assert = require("assert"); 3 4 const 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 '$meta': 'searchHighlights' 31 } 32 } 33 } 34 ]; 35 36 MongoClient.connect( 37 "<connection-string>", 38 async function (connectErr, client) { 39 assert.equal(null, connectErr); 40 const coll = client.db("sample_mflix").collection("movies"); 41 let cursor = await coll.aggregate(agg); 42 await cursor.forEach((doc) => console.log(doc)); 43 client.close(); 44 } 45 );
El siguiente ejemplo de código:
Importa,
pymongoel controlador Python de MongoDB y eldnsmódulo, que es necesario para conectarpymongoaAtlasmediante una cadena de conexión de lista de semillas DNS.Crea una instancia de la clase
MongoClientpara establecer una conexión a su clúster.Ejecuta una query que utiliza:
Itera sobre el cursor para imprimir los documentos que coinciden con el query.
La consulta permite lo siguiente para hacer coincidir el string del query new
purchase con una palabra en el campo:
Permite que las palabras
newypurchaseaparezcan en cualquier parte del campoplot.Permite una variación de dos caracteres en el string del query para hacer coincidir el query con una palabra en el campo, pero no permite que cambie el primer carácter del string del query.
Permite considerar hasta doscientos cincuenta y seis términos similares.
1 import pymongo 2 import dns 3 4 client = pymongo.MongoClient('<connection-string>') 5 result = client['sample_mflix']['movies'].aggregate([ 6 { 7 '$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 37 for i in result: 38 print(i)
Ejemplo de orden de token
Las siguientes consultas buscan películas con los caracteres men
with en el campo title. También utilizan el campo tokenOrder, que especifica si la consulta busca tokens en orden any o sequential.
Comienza con el ejemplo
Puede buscar en el title campo títulos de películas que comiencen con un término o frase indexando el campo mediante el analizador de palabras clave.
Debe indexar el campo utilizando el analizador con la estrategia de tokenización edgeGram para recuperar resultados de la siguiente query de muestra. Si indexas el campo usando cualquier otra funcionalidades incorporadas, MongoDB Search no devuelve ningún resultado porque no indexa tu campo de texto como un único término. La estrategia de tokenización edgeGram crea tokens empezando por el lado izquierdo de las palabras.
También debe establecer foldDiacritics en true para obtener resultados independientes de mayúsculas y minúsculas. Si establece foldDiacritics en false, el uso de mayúsculas y minúsculas en el término de consulta debe coincidir exactamente con el uso de mayúsculas y minúsculas en el documento para que MongoDB Search devuelva resultados.
{ "mappings": { "dynamic": false, "fields": { "title": [ { "type": "token" }, { "type": "string" }, { "foldDiacritics": true, "maxGrams": 7, "minGrams": 3, "analyzer": "lucene.keyword", "tokenization": "edgeGram", "type": "autocomplete" }] } } }
La siguiente consulta busca títulos de películas que comiencen con el término Fast &.
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { $search: { autocomplete: { path: "title", query: "Fast &", tokenOrder: "sequential" } } } ]
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
db.movies.aggregate([ { $search: { "autocomplete": { "query": "Fast &", "path": "title", "tokenOrder": "sequential" } } }, { $project: { "_id": 0, "title": 1 } }, { $limit: 4 } ])
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | |||||||
|---|---|---|---|---|---|---|---|---|
| | |||||||
| | |||||||
| |
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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()); } } } [] public class MovieDocument { [] public ObjectId Id { get; set; } public string Title { get; set; } }
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
package main import ( "context" "fmt" "go.mongodb.org/mongo-driver/v2/bson" "go.mongodb.org/mongo-driver/v2/mongo" "go.mongodb.org/mongo-driver/v2/mongo/options" ) func main() { // connect to your Atlas cluster client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>")) if err != nil { panic(err) } defer client.Disconnect(context.TODO()) // set namespace collection := client.Database("sample_mflix").Collection("movies") // define pipeline stages searchStage := bson.D{{Key: "$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import static com.mongodb.client.model.Aggregates.limit; import static com.mongodb.client.model.Aggregates.project; import static com.mongodb.client.model.Projections.excludeId; import static com.mongodb.client.model.Projections.fields; import static com.mongodb.client.model.Projections.include; import com.mongodb.client.MongoClient; import com.mongodb.client.MongoClients; import com.mongodb.client.MongoCollection; import com.mongodb.client.MongoDatabase; import org.bson.Document; import java.util.Arrays; public class AutocompleteStartsWith { public static void main(String[] args) { // connect to your Atlas cluster String uri = "<connection-string>"; try (MongoClient mongoClient = MongoClients.create(uri)) { // set namespace MongoDatabase database = mongoClient.getDatabase("sample_mflix"); MongoCollection<Document> collection = database.getCollection("movies"); // define pipeline Document agg = new Document("$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import pymongo # connect to your Atlas cluster client = pymongo.MongoClient('<connection-string>') # define pipeline pipeline = [ {"$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"
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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"}
1 Document{{title=Fast & Furious}} 2 Document{{title=Fast & Furious 6}}
1 { title: 'Fast & Furious' } 2 { title: 'Fast & Furious 6' }
1 {'title': 'Fast & Furious'} 2 {'title': 'Fast & Furious 6'}
Ejemplosimple any
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { $search: { autocomplete: { path: "title", query: "men with", tokenOrder: "any" } } } ]
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
db.movies.aggregate([ { $search: { "autocomplete": { "path": "title", "query": "men with", "tokenOrder": "any" } } }, { $limit: 4 }, { $project: { "_id": 0, "title": 1 } } ])
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | |||||||
|---|---|---|---|---|---|---|---|---|
| | |||||||
| | |||||||
| |
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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()); } } } [] public class MovieDocument { [] public ObjectId Id { get; set; } public string Title { get; set; } }
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
package main import ( "context" "fmt" "go.mongodb.org/mongo-driver/v2/bson" "go.mongodb.org/mongo-driver/v2/mongo" "go.mongodb.org/mongo-driver/v2/mongo/options" ) func main() { // connect to your Atlas cluster client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>")) if err != nil { panic(err) } defer client.Disconnect(context.TODO()) // set namespace collection := client.Database("sample_mflix").Collection("movies") // define pipeline stages searchStage := bson.D{{Key: "$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import static com.mongodb.client.model.Aggregates.limit; import static com.mongodb.client.model.Aggregates.project; import static com.mongodb.client.model.Projections.excludeId; import static com.mongodb.client.model.Projections.fields; import static com.mongodb.client.model.Projections.include; import com.mongodb.client.MongoClient; import com.mongodb.client.MongoClients; import com.mongodb.client.MongoCollection; import com.mongodb.client.MongoDatabase; import org.bson.Document; import java.util.Arrays; public class AutocompleteTokenAny { public static void main(String[] args) { // connect to your Atlas cluster String uri = "<connection-string>"; try (MongoClient mongoClient = MongoClients.create(uri)) { // set namespace MongoDatabase database = mongoClient.getDatabase("sample_mflix"); MongoCollection<Document> collection = database.getCollection("movies"); // define pipeline Document agg = new Document("$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import pymongo # connect to your Atlas cluster client = pymongo.MongoClient('<connection-string>') # define pipeline pipeline = [ {"$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)
Nota
Sus resultados pueden variar
La búsqueda de MongoDB devuelve diferentes resultados según la estrategia de tokenización configurada en la definición del índice para el tipo de autocompletado. Para obtener más información, consulte Cómo indexar campos para el autocompletado.
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"
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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"}
1 Document{{title=Men with Brooms}} 2 Document{{title=Men with Guns}} 3 Document{{title=Men Without Women}} 4 Document{{title=Brief Interviews with Hideous Men}}
1 Document{{title=Men with Brooms}} 2 Document{{title=Men with Guns}} 3 Document{{title=Getting Even with Dad}} 4 Document{{title=Chicken with Plums}}
1 Document{{title=Men with Guns}} 2 Document{{title=Men with Brooms}} 3 Document{{title=Men Without Women}} 4 Document{{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'}
Ejemplosimple sequential
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { $search: { autocomplete: { path: "title", query: "men with", tokenOrder: "sequential" } } } ]
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
db.movies.aggregate([ { $search: { "autocomplete": { "path": "title", "query": "men with", "tokenOrder": "sequential" } } }, { $limit: 4 }, { $project: { "_id": 0, "title": 1 } } ])
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | |||||||
|---|---|---|---|---|---|---|---|---|
| | |||||||
| | |||||||
| |
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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()); } } } [] public class MovieDocument { [] public ObjectId Id { get; set; } public string Title { get; set; } }
Cada consulta incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
package main import ( "context" "fmt" "go.mongodb.org/mongo-driver/v2/bson" "go.mongodb.org/mongo-driver/v2/mongo" "go.mongodb.org/mongo-driver/v2/mongo/options" ) func main() { // connect to your Atlas cluster client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>")) if err != nil { panic(err) } defer client.Disconnect(context.TODO()) // set namespace collection := client.Database("sample_mflix").Collection("movies") // define pipeline stages searchStage := bson.D{{Key: "$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import static com.mongodb.client.model.Aggregates.limit; import static com.mongodb.client.model.Aggregates.project; import static com.mongodb.client.model.Projections.excludeId; import static com.mongodb.client.model.Projections.fields; import static com.mongodb.client.model.Projections.include; import com.mongodb.client.MongoClient; import com.mongodb.client.MongoClients; import com.mongodb.client.MongoCollection; import com.mongodb.client.MongoDatabase; import org.bson.Document; import java.util.Arrays; public class AutocompleteTokenSequential { public static void main(String[] args) { // connect to your Atlas cluster String uri = "<connection-string>"; try (MongoClient mongoClient = MongoClients.create(uri)) { // set namespace MongoDatabase database = mongoClient.getDatabase("sample_mflix"); MongoCollection<Document> collection = database.getCollection("movies"); // define pipeline Document agg = new Document("$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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 incluye:
$limitetapa para limitar la salida a 4 resultados.Etapa
$projectpara excluir todos los campos salvotitle.
import pymongo # connect to your Atlas cluster client = pymongo.MongoClient('<connection-string>') # define pipeline pipeline = [ {"$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)
Nota
Sus resultados pueden variar
La búsqueda de MongoDB devuelve diferentes resultados según la estrategia de tokenización configurada en la definición del índice para el tipo de autocompletado. Para obtener más información, consulte Cómo indexar campos para el autocompletado.
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"
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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"}
1 Document{{title=Men with Brooms}} 2 Document{{title=Men with Guns}} 3 Document{{title=Men Without Women}}
1 Document{{title=Men with Brooms}} 2 Document{{title=Men with Guns}} 3 Document{{title=Getting Even with Dad}} 4 Document{{title=Chicken with Plums}}
1 Document{{title=Men with Guns}} 2 Document{{title=Men with Brooms}} 3 Document{{title=Men Without Women}} 4 Document{{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'}
Ejemplo de resaltado
La siguiente consulta busca los caracteres ger en el campo title de la colección movies, con la opción highlight habilitada para el campo title.
Importante
Para resaltar la versión indexada de autocompletar de una ruta, el operador de autocompletar debe ser el único operador que utilice esa ruta en la consulta.
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { $search: { autocomplete: { path: "title", query: "ger" }, highlight: { path: "title" } } } ]
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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" } } } ])
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| | |||||||||
| | |||||||||
| |
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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()); } } } [] public class MovieDocument { [] public ObjectId Id { get; set; } public string Title { get; set; } [] public List<SearchHighlight> Highlights { get; set; } public double Score { get; set; } }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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) } }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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())); } } }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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() }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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);
La query incluye lo siguiente:
$limitetapa para limitar la salida a 5 resultados.$projectetapa a:devuelve la puntuación del documento.
excluir todos los campos excepto
title.Agregue un nuevo campo llamado
highlights, que contiene información resaltada.
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)
Nota
Sus resultados pueden variar
La búsqueda de MongoDB devuelve diferentes resultados según la estrategia de tokenización configurada en la definición del índice para el tipo de autocompletado. Para obtener más información, consulte Cómo indexar campos para el autocompletado.
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
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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 }
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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}]]}]]}]
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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}]]}]]}]
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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}]]}]]}]
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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"}]}]}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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"}]}]}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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"}]}]}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
1 Document{{title=Germany in Autumn, score=6.160550117492676, highlights=[Document{{score=0.9180012345314026, path=title, texts=[Document{{value=Germany in Autumn, type=hit}}]}}]}} 2 Document{{title=Gertie the Dinosaur, score=6.160550117492676, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Gertie the Dinosaur, type=hit}}]}}]}} 3 Document{{title=Germany Pale Mother, score=6.160550117492676, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Germany Pale Mother, type=hit}}]}}]}} 4 Document{{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}}]}}]}} 5 Document{{title=Geri's Game, score=5.900832176208496, highlights=[Document{{score=1.1180211305618286, path=title, texts=[Document{{value=Geri's Game, type=hit}}]}}]}}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
1 Document{{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}}]}}]}} 2 Document{{title=Roger Dodger, score=4.584150791168213, highlights=[Document{{score=0.905626654624939, path=title, texts=[Document{{value=Roger Dodger, type=hit}}]}}]}} 3 Document{{title=The Crazy Stranger, score=4.535715103149414, highlights=[Document{{score=0.9203977584838867, path=title, texts=[Document{{value=The Crazy Stranger, type=hit}}]}}]}} 4 Document{{title=The Ring Finger, score=4.535715103149414, highlights=[Document{{score=0.9131305813789368, path=title, texts=[Document{{value=The Ring Finger, type=hit}}]}}]}} 5 Document{{title=Shoot the Messenger, score=4.535715103149414, highlights=[Document{{score=0.9227690100669861, path=title, texts=[Document{{value=Shoot the Messenger, type=hit}}]}}]}}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
1 Document{{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}}]}}]}} 2 Document{{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}}]}}]}} 3 Document{{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}}]}}]}} 4 Document{{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}}]}}]}} 5 Document{{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}}]}}]}}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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"}]}]}'
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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"}]}]}'
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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"}]}]}'
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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'}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la izquierda de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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'}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen a la derecha de una palabra en todos los títulos. MongoDB Search relaciona un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
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'}
MongoDB Search devuelve estos resultados porque los caracteres ger aparecen en diferentes posiciones en los títulos. MongoDB Search coincide con un hit resaltado de forma más general con los términos de la consulta cuando una ruta resaltada solo se referencia en los operadores de autocompletado de la consulta resaltada.
Buscar en varios campos
La siguiente consulta busca en los campos title y plot de la colección movies palabras que comiencen con la cadena de caracteres inter mediante el operador compuesto.
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { $search: { compound: { should: [ { autocomplete: { query: "inter", path: "title" } }, { autocomplete: { query: "inter", path: "plot" } } ], minimumShouldMatch: 1 } } } ]
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 db.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 ])
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
En la pestaña Aggregations de la colección movies, configure cada una de las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta correspondiente. Haga clic en Add Stage para agregar etapas adicionales.
Etapa de tubería | Query | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| | |||||||||||||||||
| | |||||||||||||||||
| |
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 using MongoDB.Bson; 2 using MongoDB.Bson.Serialization.Attributes; 3 using MongoDB.Bson.Serialization.Conventions; 4 using MongoDB.Driver; 5 using MongoDB.Driver.Search; 6 7 public 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 [] 43 public class MovieDocument 44 { 45 [] 46 public ObjectId Id { get; set; } 47 public string Plot { get; set; } 48 public string Title { get; set; } 49 }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 package main 2 3 import ( 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 12 func 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 }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 import static com.mongodb.client.model.Aggregates.limit; 2 import static com.mongodb.client.model.Aggregates.project; 3 import static com.mongodb.client.model.Projections.excludeId; 4 import static com.mongodb.client.model.Projections.fields; 5 import static com.mongodb.client.model.Projections.include; 6 import com.mongodb.client.MongoClient; 7 import com.mongodb.client.MongoClients; 8 import com.mongodb.client.MongoCollection; 9 import com.mongodb.client.MongoDatabase; 10 import org.bson.Document; 11 import java.util.Arrays; 12 13 public 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 }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 import com.mongodb.client.model.Aggregates.limit 2 import com.mongodb.client.model.Aggregates.project 3 import com.mongodb.client.model.Filters.eq 4 import com.mongodb.client.model.Projections.* 5 import com.mongodb.kotlin.client.coroutine.MongoClient 6 import kotlinx.coroutines.runBlocking 7 import org.bson.Document 8 9 fun 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 }
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 const { MongoClient } = require("mongodb"); 2 3 // connect to your Atlas cluster 4 const uri = 5 "<connection-string>"; 6 7 const client = new MongoClient(uri); 8 9 async 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 } 60 run().catch(console.dir);
La query incluye lo siguiente:
$limitetapa para limitar la salida a 10 resultados.$projectetapa para excluir todos los campos exceptotitleploty.
1 import pymongo 2 3 # connect to your Atlas cluster 4 client = pymongo.MongoClient('<connection-string>') 5 6 # define pipeline 7 pipeline = [ 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 38 result = client["sample_mflix"]["movies"].aggregate(pipeline) 39 40 # print results 41 for i in result: 42 print(i)
Nota
Sus resultados pueden variar
La búsqueda de MongoDB devuelve diferentes resultados según la estrategia de tokenización configurada en la definición del índice para el tipo de autocompletado. Para obtener más información, consulte Cómo indexar campos para el autocompletado.
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"
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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 ]
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 ]
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 ]
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y 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 ]
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 ]
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 ]
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y 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 }
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 }
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 }
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y 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 ]
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 ]
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 ]
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y 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 }
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 }
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 }
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y plot.
1 Document{{plot=A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men., title=Brief Interviews with Hideous Men}} 2 Document{{plot=An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring., title=The International}} 3 Document{{plot=A variety of losers in Dublin have harrowingly farcical intersecting stories of love, greed and violence., title=Intermission}} 4 Document{{plot=A hospital nurse becomes an "international girl", a prostitute who caters to foreigners with hard currency., title=Interdevochka}} 5 Document{{plot=After falling out with his editor, a fading political journalist is forced to interview America's most popular soap actress., title=Interview}} 6 Document{{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}} 7 Document{{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}} 8 Document{{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}} 9 Document{{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}} 10 Document{{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}}
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
1 Document{{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}} 2 Document{{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}} 3 Document{{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}} 4 Document{{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}} 5 Document{{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}} 6 Document{{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}} 7 Document{{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}} 8 Document{{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}} 9 Document{{plot=A mysterious creature is killing a farmer's livestock., title=In the Winter Dark}} 10 Document{{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}}
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
1 Document{{plot=A graduate student (Nicholson) copes with a recent breakup by conducting interviews with various men., title=Brief Interviews with Hideous Men}} 2 Document{{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}} 3 Document{{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}} 4 Document{{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}} 5 Document{{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}} 6 Document{{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}} 7 Document{{plot=An Interpol agent attempts to expose a high-profile financial institution's role in an international arms dealing ring., title=The International}} 8 Document{{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}} 9 Document{{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}} 10 Document{{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}}
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y 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 }
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 }
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 }
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y 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 }
En estos resultados, los caracteres inter aparecen al principio de una palabra en el campo title o plot. MongoDB Search devuelve resultados que comienzan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando a la izquierda de la palabra.
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 }
En estos resultados, los caracteres inter aparecen al final de una palabra en el campo title o plot. MongoDB Search devuelve resultados que terminan con la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens que crea para los campos title y plot, comenzando por el lado derecho de las palabras, tal como las delimita el analizador.
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 }
En estos resultados, los caracteres inter aparecen en algún lugar de una palabra en el campo title o plot. MongoDB Search devuelve resultados con palabras que contienen la cadena de consulta especificada porque MongoDB Search relaciona el término de consulta con los tokens de entre 3 y 7 caracteres que crea para los campos title y plot.
Resultados de bucket mediante consultas de facetas
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
Copia y pega la siguiente query en el Query Editor, y luego haz clic en el botón Search en el Query Editor.
[ { "$searchMeta": { "facet": { "operator": { "autocomplete": { "query": "Gravity", "path": "title" } }, "facets": { "titleFacet": { "type": "string", "path": "title" } } } } } ]
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 db.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 }])
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
En la pestaña Aggregations de la colección movies, configure las siguientes etapas del pipeline seleccionando la etapa en el menú desplegable y agregando la consulta para esa etapa.
Etapa de tubería | Query | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| |
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 using MongoDB.Bson; 2 using MongoDB.Bson.Serialization.Attributes; 3 using MongoDB.Bson.Serialization.Conventions; 4 using MongoDB.Driver; 5 using MongoDB.Driver.Search; 6 7 public 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 [] 35 public class MovieDocument 36 { 37 [] 38 public ObjectId Id { get; set; } 39 public string Title { get; set; } 40 }
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 package main 2 3 import ( 4 "context" 5 "fmt" 6 7 "go.mongodb.org/mongo-driver/v2/bson" 8 "go.mongodb.org/mongo-driver/v2/mongo" 9 "go.mongodb.org/mongo-driver/v2/mongo/options" 10 ) 11 12 func main() { 13 // connect to your Atlas cluster 14 client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>")) 15 if err != nil { 16 panic(err) 17 } 18 defer client.Disconnect(context.TODO()) 19 20 // set namespace 21 collection := client.Database("sample_mflix").Collection("movies") 22 23 // define pipeline stages 24 searchMetaStage := bson.D{{Key: "$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 }
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 import com.mongodb.client.MongoClient; 2 import com.mongodb.client.MongoClients; 3 import com.mongodb.client.MongoCollection; 4 import com.mongodb.client.MongoDatabase; 5 import org.bson.Document; 6 7 import java.util.Arrays; 8 9 public class FacetAutocompleteExample { 10 public static void main(String[] args) { 11 // connect to your Atlas cluster 12 String uri = "<connection-string>"; 13 14 try (MongoClient mongoClient = MongoClients.create(uri)) { 15 // set namespace 16 MongoDatabase database = mongoClient.getDatabase("sample_mflix"); 17 MongoCollection<Document> collection = database.getCollection("movies"); 18 19 // define pipeline 20 Document agg = new Document("$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 }
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 import com.mongodb.client.model.Aggregates.limit 2 import com.mongodb.client.model.Aggregates.project 3 import com.mongodb.client.model.Filters.eq 4 import com.mongodb.client.model.Projections.* 5 import com.mongodb.kotlin.client.coroutine.MongoClient 6 import kotlinx.coroutines.runBlocking 7 import org.bson.Document 8 9 fun 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 }
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 const { MongoClient } = require("mongodb"); 2 3 // connect to your Atlas cluster 4 const uri = 5 "<connection-string>"; 6 7 const client = new MongoClient(uri); 8 9 async function run() { 10 try { 11 await client.connect(); 12 13 // set namespace 14 const database = client.db("sample_mflix"); 15 const coll = database.collection("movies"); 16 17 // define pipeline 18 const agg = [{$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 } 34 run().catch(console.dir);
La siguiente consulta utiliza la etapa para devolver valores únicos de películas que contienen el $searchMeta término Gravity en el title campo de la movies colección. La definición del índice de esta consulta limita los resultados devueltos desde un índice de tokens, donde tanto el tipo de autocompletado como el de token se encuentran en el title campo.
1 import pymongo 2 3 # connect to your Atlas cluster 4 client = pymongo.MongoClient('<connection-string>') 5 6 # define pipeline 7 pipeline = [{"$searchMeta": { 8 "facet": { 9 "operator": { 10 "autocomplete": {"path": "title", "query": "Gravity"} 11 }, 12 "facets": { 13 "titleFacet": {"type": "string", "path": "title"} 14 }}}}] 15 # run pipeline 16 result = client["sample_mflix"]["movies"].aggregate(pipeline) 17 18 # print results 19 for 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
Es posible que Search Tester no muestre todos los campos en los documentos que devuelve. Para ver todos los campos, incluido el campo que especifica en la ruta de query, expanda el documento en los 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 }
1 Document{{count=Document{{lowerBound=5}}, 2 facet=Document{{titleFacet=Document{{buckets=[Document{{_id=Gravity, 3 count=3}}, Document{{_id=Defying Gravity, count=1}}, Document{{_id=Laws 4 of 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 }
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
[ { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Defying Gravity' }, { title: 'Laws of Gravity' } ]
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
[ { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Defying Gravity' }, { title: 'Laws of Gravity' } ]
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
{ "title" : "Gravity" } { "title" : "Gravity" } { "title" : "Gravity" } { "title" : "Defying Gravity" } { "title" : "Laws of Gravity" }
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
[{title Gravity}], [{title Gravity}], [{title Gravity}], [{title Defying Gravity}], [{title Laws of Gravity}]
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
{"title": "Gravity"} {"title": "Gravity"} {"title": "Gravity"} {"title": "Defying Gravity"} {"title": "Laws of Gravity"}
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
Document{{title=Gravity}} Document{{title=Gravity}} Document{{title=Gravity}} Document{{title=Defying Gravity}} Document{{title=Laws of Gravity}}
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
{ title: 'Gravity' } { title: 'Gravity' } { title: 'Gravity' } { title: 'Defying Gravity' } { title: 'Laws of Gravity' }
MongoDB Search devuelve documentos que contienen el término Gravity en el campo title. El campo count en los resultados indica el número de documentos de la colección con el mismo título. En los resultados, MongoDB Search encontró tres documentos en la colección con el título Gravity, pero omitió los títulos duplicados y solo devolvió un documento coincidente.
Si desea ver los títulos duplicados como se muestran en los resultados a continuación, ejecute la consulta del operador de autocompletado anterior sin facetas y utilice la etapa$search. También debe usar la etapa$projectpara excluir todos los campos excepto title.
{ 'title': 'Gravity' } { 'title': 'Gravity' } { 'title': 'Gravity' } { 'title': 'Defying Gravity' } { 'title': 'Laws of Gravity' }
Obtén más información
Para obtener más información, consulte Cómo ejecutar consultas de búsqueda de autocompletar y coincidencia parcial en MongoDB.