정의
autocomplete
autocomplete
연산자는 불완전한 입력 문자열에서 문자 시퀀스를 포함하는 단어나 구문을 검색합니다.autocomplete
연산자를 사용하여 쿼리하려는 필드는 컬렉션의 인덱스 정의에 있는 자동 완성 데이터 유형으로 인덱싱되어야 합니다. 자동 완성을 위한 인덱스를 구성하는 방법을 알아보려면 자동 완성을 위한 필드 인덱싱 방법을 참조하세요.
참고
MongoDB Search might return inaccurate results for queries with more than three words in a single string.
샘플 사용 사례
입력 시 실시간 검색 애플리케이션에서 autocomplete
연산자를 사용하면 애플리케이션의 검색 필드에 문자가 입력될 때 단어를 더욱 정확하게 예측할 수 있습니다. autocomplete
는 자동 완성을 위해 인덱스 정의에 지정된 토큰화 전략을 기반으로 한 예측 단어가 포함된 결과를 반환합니다.
If you want to build suggestions or dropdowns using the MongoDB Search autocomplete
operator, we recommend that you query a collection of suggested search terms or use past search terms to populate the dropdown. If you create a separate collection of suggested search terms, you can define synonym mappings in your MongoDB Search index to search your collection for the exact or alternative words. You can track search terms and view metrics for search terms to build your collection.
구문
autocomplete
의 구문은 다음과 같습니다:
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 }
옵션
필드 | 유형 | 설명 | 필요성 | 기본값 | ||||
---|---|---|---|---|---|---|---|---|
| 문자열 또는 문자열 배열 | String or strings to search for. If there are multiple terms in a string, MongoDB Search also looks for a match for each term in the string separately. | 네 | |||||
| 문자열 | 검색할 인덱싱된 필드입니다. 이 필드는
여러 필드에 걸친 | 네 | |||||
| 객체 | 퍼지 검색을 활성화하도록 설정합니다. 검색어 또는 용어와 유사한 문자열을 찾습니다. | no | |||||
fuzzy .maxEdits | integer | 지정된 검색 용어와 일치하는 데 필요한 최대 단일 문자 편집 수입니다. 값은 | no |
| ||||
fuzzy .prefixLength | integer | 정확히 일치해야 하는 결과의 각 용어 시작 부분에 있는 문자 수입니다. | no |
| ||||
fuzzy .maxExpansions | integer | 생성하고 검색할 수 있는 최대 변형 수입니다. 이 한도는 토큰 단위로 적용됩니다. | no |
| ||||
| 객체 | 일치하는 검색어 결과에 할당할 점수입니다. 다음 옵션 중 하나를 사용하여 기본 점수를 수정합니다:
쿼리에서 | no | |||||
| 문자열 | 토큰을 검색할 순서입니다. 값은 다음 중 하나일 수 있습니다:
| no |
|
채점 동작
The autocomplete
operator query results that are exact matches receive a lower score than results that aren't exact matches. MongoDB Search can't determine if a query string is an exact match for an indexed text if you specify just the autocomplete-indexed token substrings. To score exact matches higher, try the following workaround:
참고
하지만, 이 우회 방법이 모든 경우에 정확히 일치하는 결과에 더 높은 점수를 보장하는 것은 아닙니다.
MongoDB Search
autocomplete
boosts exact matches when anautocomplete
field is also indexed as astring
, thereby increasing the score of exact matches.복합 연산자를 사용하여 쿼리합니다.
이 해결 방법의 데모는 여러 필드에 걸친 검색을 참조하세요.
예시
다음 예시에서는 sample_mflix
데이터베이스의 movies
컬렉션을 사용합니다. 클러스터에 샘플 데이터 세트를 로드한 경우 자동 완성을 위한 정적 인덱스를 생성하고 클러스터에서 예시 쿼리를 실행할 수 있습니다.
인덱스 정의
다음 탭에는 edgeGram
, rightEdgeGram
, nGram
토큰화 전략에 대한 샘플 인덱스 정의가 포함되어 있습니다. 자동 완성 유형 외에도 샘플 인덱스 정의에는 title
필드에 문자열 및 토큰 유형이 포함되어 있습니다.
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 }
Select your language 드롭다운 메뉴를 사용하여 이 페이지에서 예시의 언어를 설정합니다.
Search Tester에서 쿼리 구문을 보고 편집하려면 다음을 수행하세요.
AtlasGo Atlas 에서 프로젝트 의 Clusters 페이지로 고 (Go) 합니다.
경고: 탐색 개선 진행 중 현재 새롭고 향상된 탐색 환경을 도입하고 있습니다. 다음 단계가 Atlas UI 의 보기와 일치하지 않는 경우 미리 보기 설명서를 참조하세요.
아직 표시되지 않은 경우 탐색 표시줄의 Organizations 메뉴에서 원하는 프로젝트가 포함된 조직을 선택합니다.
아직 표시되지 않은 경우 탐색 표시줄의 Projects 메뉴에서 원하는 프로젝트를 선택합니다.
아직 표시되지 않은 경우 사이드바에서 Clusters를 클릭합니다.
Clusters(클러스터) 페이지가 표시됩니다.
MongoDB Compass에서 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
MongoDB C# 드라이버를 사용하여 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
MongoDB Go 드라이버를 사용하여 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
MongoDB Java 드라이버를 사용하여 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
MongoDB Kotlin 드라이버를 사용하여 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
MongoDB 노드 드라이버를 사용하여 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
PyMongo 드라이버를 사용하여 다음 쿼리를 실행하는 방법을 알아보려면 쿼리 정의를 참조하세요.
기본 예시
다음 쿼리는 title
필드에 off
문자가 포함된 영화를 검색합니다.
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $search: { autocomplete: { path: "title", query: "off" } } } ]
쿼리에는 다음이 포함됩니다.
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | ||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
쿼리에는 다음이 포함됩니다.
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; } }
쿼리에는 다음이 포함됩니다.
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) } }
쿼리에는 다음이 포함됩니다.
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("$search", new Document("autocomplete", new Document("query", "off").append("path", "title"))); // run pipeline and print results collection.aggregate(Arrays.asList(agg, limit(10), project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson())); } } }
쿼리에는 다음이 포함됩니다.
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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);
쿼리에는 다음이 포함됩니다.
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() }
쿼리에는 다음이 포함됩니다.
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)
참고
고객의 결과는 다를 수 있음
MongoDB Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.
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"
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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' }
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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' }
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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' }
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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' }
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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' }
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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' }
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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" }
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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" }
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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" }
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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}]
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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}]
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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}]
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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"}
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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"}
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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"}
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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}}
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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}}
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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!}}
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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' }
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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' }
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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' }
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
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'}
위 결과에서는 모든 제목의 단어 왼쪽에 off
문자가 나타납니다.
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'}
위 결과에서는 모든 제목의 단어 오른쪽에 off
문자가 나타납니다.
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'}
위의 결과에서 off
문자는 제목의 다른 위치에 나타납니다.
퍼지 예시
기본 예시
다음 쿼리는 title
필드에 pre
문자가 포함된 영화를 검색합니다. 쿼리는 다음을 사용합니다.
필드 | 설명 |
| 쿼리를 문서의 단어와 일치시키기 위해 쿼리 문자열 |
| 쿼리를 문서의 단어와 일치시킬 때 쿼리 문자열 |
| 쿼리 문자열을 문서의 단어와 일치시킬 때 |
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $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 } } ])
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||
|
| |||||||||||
|
|
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)
참고
고객의 결과는 다를 수 있음
MongoDB Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.
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"
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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' }
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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" }
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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' }
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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' }
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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" }
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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' }
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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" }
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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" }
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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" }
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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}]
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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}]
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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}]
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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'}
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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"}
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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"}
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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}}
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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}}
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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}}
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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' }
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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" }
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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' }
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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'}
이 결과는 모든 제목의 단어 왼쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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"}
이 결과는 모든 제목의 단어 오른쪽에 첫 번째 문자 상수를 사용하여 한 글자 수정을 사용하여 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
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'}
이 결과는 제목에 있는 단어의 다른 위치에서 한 문자가 수정된 쿼리 문자열에 대해 예측된 단어를 보여줍니다.
부분 일치 예시
다음 쿼리는 쿼리에 지정한 일련의 문자가 포함된 단어나 구를 특정 필드에서 검색하는 방법을 보여 줍니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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' } ] } ] } ]
다음 쿼리에서는 연산자를 사용하여 sample_mflix.movies
컬렉션의 plot
필드를 쿼리합니다. 쿼리에는 다음이 포함됩니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
파이프라인 단계 | 쿼리 | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||||||||
|
| ||||||||||||||||
|
|
Auto Preview를 활성화한 경우 MongoDB Compass는 $project
파이프라인 단계 옆에 다음 문서를 표시합니다.
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 ]
이 코드 예시에서는 다음 작업을 수행합니다:
mongodb
패키지 및 종속성을 가져옵니다.Atlas 클러스터에 대한 연결을 설정합니다.
다음을 사용하는 쿼리를 실행합니다.
커서 위를 반복하여 쿼리와 일치하는 문서를 인쇄합니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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 }
다음 쿼리에서는 연산자를 사용하여 sample_mflix.movies
컬렉션의 plot
필드를 쿼리합니다. 쿼리에는 다음이 포함됩니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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: "$meta", Value: "searchHighlights"}}}}}} 43 // run pipeline 44 cursor, err := collection.Aggregate(ctx, mongo.Pipeline{searchStage, limitStage, projectStage}) 45 if err != nil { 46 panic(err) 47 } 48 // print results 49 var results []Movie 50 if err = cursor.All(context.TODO(), &results); err != nil { 51 panic(err) 52 } 53 for _, result := range results { 54 fmt.Println(result) 55 } 56 }
이 코드 예시에서는 다음 작업을 수행합니다:
mongodb
패키지 및 종속성을 가져옵니다.Atlas 클러스터에 대한 연결을 설정합니다.
다음을 사용하는 쿼리를 실행합니다.
커서 위를 반복하여 쿼리와 일치하는 문서를 인쇄합니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
1 import java.util.Arrays; 2 import static com.mongodb.client.model.Aggregates.limit; 3 import static com.mongodb.client.model.Aggregates.project; 4 import static com.mongodb.client.model.Projections.excludeId; 5 import static com.mongodb.client.model.Projections.fields; 6 import static com.mongodb.client.model.Projections.include; 7 import com.mongodb.client.MongoClient; 8 import com.mongodb.client.MongoClients; 9 import com.mongodb.client.MongoCollection; 10 import com.mongodb.client.MongoDatabase; 11 import org.bson.Document; 12 13 public class PartialMatchQuery { 14 public static void main( String[] args ) { 15 16 // define query 17 Document agg = new Document("$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 }
이 코드 예시에서는 다음 작업을 수행합니다:
mongodb
패키지 및 종속성을 가져옵니다.Atlas 클러스터에 대한 연결을 설정합니다.
다음을 사용하는 쿼리를 실행합니다.
AggregateFlow
인스턴스에서 쿼리와 일치하는 문서를 인쇄합니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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 }
이 코드 예시에서는 다음 작업을 수행합니다:
MongoDB의 Node.js 드라이버인
mongodb
를 가져옵니다.MongoClient
클래스의 인스턴스를 만들어 Atlas 클러스터에 대한 연결을 설정합니다.다음을 사용하는 쿼리를 실행합니다.
커서 위를 반복하여 쿼리와 일치하는 문서를 인쇄합니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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 { useNewUrlParser: true, useUnifiedTopology: true }, 39 async function (connectErr, client) { 40 assert.equal(null, connectErr); 41 const coll = client.db("sample_mflix").collection("movies"); 42 let cursor = await coll.aggregate(agg); 43 await cursor.forEach((doc) => console.log(doc)); 44 client.close(); 45 } 46 );
다음 코드 예제에서는:
pymongo
, MongoDB의 Python 드라이버 및dns
모듈을 가져옵니다. 이 모듈은 DNS 시드 리스트 연결 문자열을 사용하여pymongo
를Atlas
에 연결하는 데 필요합니다.MongoClient
클래스의 인스턴스를 만들어 Atlas 클러스터에 대한 연결을 설정합니다.다음을 사용하는 쿼리를 실행합니다.
커서 위를 반복하여 쿼리와 일치하는 문서를 인쇄합니다.
이 쿼리를 사용하면 다음을 수행하여 쿼리 문자열 new
purchase
필드의 단어와 매칭할 수 있습니다.
단어
new
,purchase
을plot
필드의 아무 곳에나 표시할 수 있습니다.쿼리 문자열의 두 문자 변형을 허용하여 쿼리를 필드의 단어와 매칭할 수 있지만 쿼리 문자열의 첫 번째 문자는 변경할 수 없습니다.
최대 256개의 유사한 용어를 고려할 수 있습니다.
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)
토큰 주문 예시
다음 쿼리는 title
필드에 men
with
문자가 포함된 영화를 검색합니다. 이 쿼리는 또한 tokenOrder
필드를 사용하여 쿼리가 토큰을 any
순서로 검색할지 또는 sequential
순서로 검색할지를 지정합니다.
예시로 시작
키워드 분석기로 필드를 인덱싱하여 title
필드에서 단어나 문구로 시작하는 영화 제목을 검색할 수 있습니다.
You must index the field using the keyword analyzer with the edgeGram
tokenization strategy to retrieve results for the following sample query. If you index the field using any other built-in analyzers, MongoDB Search doesn't return any results because it doesn't index your text field as a single term. The edgeGram
tokenization strategy creates tokens starting at the left side of the words.
You must also set foldDiacritics
to true
to return case-agnostic results. If you set foldDiacritics
to false
, the letter case of the query term must exactly match the letter case in the document for MongoDB Search to return any results.
{ "mappings": { "dynamic": false, "fields": { "title": [ { "type": "token" }, { "type": "string" }, { "foldDiacritics": true, "maxGrams": 7, "minGrams": 3, "analyzer": "lucene.keyword", "tokenization": "edgeGram", "type": "autocomplete" }] } } }
다음 쿼리는 Fast &
단어로 시작하는 영화 제목을 검색합니다.
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $search: { autocomplete: { path: "title", query: "Fast &", tokenOrder: "sequential" } } } ]
각 쿼리에는
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | |||||||
---|---|---|---|---|---|---|---|---|
|
| |||||||
|
| |||||||
|
|
각 쿼리에는
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; } }
각 쿼리에는
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) } }
각 쿼리에는
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("$search", new Document("autocomplete", new Document("query", "Fast &").append("path", "title").append("tokenOrder", "sequential"))); // run pipeline and print results collection.aggregate(Arrays.asList(agg, limit(4), project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson())); } } }
각 쿼리에는
import com.mongodb.client.model.Aggregates.limit import com.mongodb.client.model.Aggregates.project import com.mongodb.client.model.Projections.* import com.mongodb.kotlin.client.coroutine.MongoClient import kotlinx.coroutines.runBlocking import org.bson.Document fun main() { val uri = "<connection-string>" val mongoClient = MongoClient.create(uri) val database = mongoClient.getDatabase("sample_mflix") val collection = database.getCollection<Document>("movies") runBlocking { val agg = Document( "\$search", Document( "autocomplete", Document("query", "Fast &") .append("path", "title") .append("tokenOrder", "sequential") ) ) val resultsFlow = collection.aggregate<Document>( listOf( agg, limit(4), project(fields(excludeId(), include("title"))) ) ) resultsFlow.collect { println(it) } } mongoClient.close() }
각 쿼리에는
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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);
각 쿼리에는
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"
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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'}
간단한 any
예시
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $search: { autocomplete: { path: "title", query: "men with", tokenOrder: "any" } } } ]
각 쿼리에는
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | |||||||
---|---|---|---|---|---|---|---|---|
|
| |||||||
|
| |||||||
|
|
각 쿼리에는
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; } }
각 쿼리에는
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) } }
각 쿼리에는
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("$search", new Document("autocomplete", new Document("query", "men with").append("path", "title").append("tokenOrder", "any"))); // run pipeline and print results collection.aggregate(Arrays.asList(agg, limit(4), project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson())); } } }
각 쿼리에는
import com.mongodb.client.model.Aggregates.limit import com.mongodb.client.model.Aggregates.project import com.mongodb.client.model.Projections.* import com.mongodb.kotlin.client.coroutine.MongoClient import kotlinx.coroutines.runBlocking import org.bson.Document fun main() { val uri = "<connection-string>" val mongoClient = MongoClient.create(uri) val database = mongoClient.getDatabase("sample_mflix") val collection = database.getCollection<Document>("movies") runBlocking { val agg = Document( "\$search", Document("autocomplete", Document("query", "men with") .append("path", "title") .append("tokenOrder", "any")) ) val resultsFlow = collection.aggregate<Document>( listOf( agg, limit(4), project(fields(excludeId(), include("title"))) ) ) resultsFlow.collect { println(it) } } mongoClient.close() }
각 쿼리에는
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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);
각 쿼리에는
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)
참고
고객의 결과는 다를 수 있음
MongoDB Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.
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"
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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'}
간단한 sequential
예시
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $search: { autocomplete: { path: "title", query: "men with", tokenOrder: "sequential" } } } ]
각 쿼리에는
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | |||||||
---|---|---|---|---|---|---|---|---|
|
| |||||||
|
| |||||||
|
|
각 쿼리에는
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; } }
각 쿼리에는
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) } }
각 쿼리에는
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("$search", new Document("autocomplete", new Document("query", "men with").append("path", "title").append("tokenOrder", "sequential"))); // run pipeline and print results collection.aggregate(Arrays.asList(agg, limit(4), project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson())); } } }
각 쿼리에는
import com.mongodb.client.model.Aggregates.limit import com.mongodb.client.model.Aggregates.project import com.mongodb.client.model.Projections.* import com.mongodb.kotlin.client.coroutine.MongoClient import kotlinx.coroutines.runBlocking import org.bson.Document fun main() { val uri = "<connection-string>" val mongoClient = MongoClient.create(uri) val database = mongoClient.getDatabase("sample_mflix") val collection = database.getCollection<Document>("movies") runBlocking { val agg = Document( "\$search", Document( "autocomplete", Document("query", "men with") .append("path", "title") .append("tokenOrder", "sequential") ) ) val resultsFlow = collection.aggregate<Document>( listOf( agg, limit(4), project(fields(excludeId(), include("title"))) ) ) resultsFlow.collect { println(it) } } mongoClient.close() }
각 쿼리에는
const { MongoClient } = require("mongodb"); // connect to your Atlas cluster const uri = "<connection-string>"; const client = new MongoClient(uri); async function run() { try { await client.connect(); // set namespace const database = client.db("sample_mflix"); const coll = database.collection("movies"); // define pipeline const agg = [ {$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);
각 쿼리에는
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)
참고
고객의 결과는 다를 수 있음
MongoDB Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.
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"
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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'}
강조 표시 예시
다음 쿼리는 movies
컬렉션의 title
필드에서 ger
문자를 검색합니다. 이때 title
필드에 대해 highlight
옵션을 활성화한 상태에서 문자를 검색합니다.
중요
경로의 자동 완성 인덱싱 버전을 강조 표시하려면 자동 완성 연산자가 쿼리에서 해당 경로를 사용하는 유일한 연산자여야 합니다.
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $search: { autocomplete: { path: "title", query: "ger" }, highlight: { path: "title" } } } ]
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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" } } } ])
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
|
| |||||||||
|
|
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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; } }
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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) } }
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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())); } } }
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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() }
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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);
쿼리에는 다음이 포함됩니다.
$limit
단계를 설정하여 출력을 5개 결과로 제한합니다.$project
단계로 이동합니다:문서의 점수를 반환합니다.
title
을 제외한 모든 필드를 제외합니다.강조 표시 정보가 포함된
highlights
이라는 새 필드를 추가합니다.
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)
참고
고객의 결과는 다를 수 있음
MongoDB Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.
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
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the left side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at the right side of a word in all the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
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 returns these results because the characters ger
appear at different positions in the titles. MongoDB Search matches a highlight hit
more coarsely to your query terms when a highlighted path is referenced only in the autocomplete operators of the highlighted query.
여러 필드에서 검색
다음 쿼리는 복합 연산자를 사용하여 movies
컬렉션의 title
및 plot
필드에서 문자열 inter
로 시작하는 단어를 검색합니다.
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { $search: { compound: { should: [ { autocomplete: { query: "inter", path: "title" } }, { autocomplete: { query: "inter", path: "plot" } } ], minimumShouldMatch: 1 } } } ]
쿼리에는 다음이 포함됩니다.
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 ])
쿼리에는 다음이 포함됩니다.
movies
colection의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다. Add Stage를 클릭하여 단계를 추가합니다.
파이프라인 단계 | 쿼리 | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||||||||
|
| |||||||||||||||||
|
|
쿼리에는 다음이 포함됩니다.
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 }
쿼리에는 다음이 포함됩니다.
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 }
쿼리에는 다음이 포함됩니다.
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("$search", eq("compound", agg)), 36 limit(10), 37 project(fields(excludeId(), include("title"))))).forEach(doc -> System.out.println(doc.toJson())); 38 } 39 } 40 }
쿼리에는 다음이 포함됩니다.
1 import com.mongodb.client.model.Aggregates.limit 2 import com.mongodb.client.model.Aggregates.project 3 import com.mongodb.client.model.Filters.eq 4 import com.mongodb.client.model.Projections.* 5 import com.mongodb.kotlin.client.coroutine.MongoClient 6 import kotlinx.coroutines.runBlocking 7 import org.bson.Document 8 9 fun main() { 10 val uri = "<connection-string>" 11 val mongoClient = MongoClient.create(uri) 12 val database = mongoClient.getDatabase("sample_mflix") 13 val collection = database.getCollection<Document>("movies") 14 15 runBlocking { 16 val agg = Document( 17 Document( 18 "should", listOf( 19 Document( 20 "autocomplete", 21 Document("path", "title") 22 .append("query", "inter") 23 ), 24 Document( 25 "autocomplete", 26 Document("path", "plot") 27 .append("query", "inter") 28 ) 29 ) 30 ).append("minimumShouldMatch", 1L) 31 ) 32 33 val resultsFlow = collection.aggregate<Document>( 34 listOf( 35 eq("\$search", eq("compound", agg)), 36 limit(10), 37 project(fields(excludeId(), include("title", "plot"))) 38 ) 39 ) 40 resultsFlow.collect { println(it) } 41 } 42 mongoClient.close() 43 }
쿼리에는 다음이 포함됩니다.
1 const { MongoClient } = require("mongodb"); 2 3 // connect to your Atlas cluster 4 const uri = 5 "<connection-string>"; 6 7 const client = new MongoClient(uri); 8 9 async function run() { 10 try { 11 await client.connect(); 12 13 // set namespace 14 const database = client.db("sample_mflix"); 15 const coll = database.collection("movies"); 16 17 // define pipeline 18 const agg = [ 19 { 20 '$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);
쿼리에는 다음이 포함됩니다.
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)
참고
고객의 결과는 다를 수 있음
MongoDB Search returns different results depending on the tokenization strategy configured in the index definition for the autocomplete type. To learn more, see How to Index Fields for Autocompletion.
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"
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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 ]
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 ]
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 ]
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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 ]
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 ]
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 ]
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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 }
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 }
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 }
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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 ]
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 ]
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 ]
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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 }
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 }
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 }
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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}}
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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}}
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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}}
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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 }
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 }
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 }
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
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 }
In these results, the characters inter
appear at the beginning of a word in the title
or plot
field. MongoDB Search returns results that begin with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting at the left side the word.
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 }
In these results, the characters inter
appear at the end of a word in the title
or plot
field. MongoDB Search returns results that end with the specified query string because MongoDB Search matches the query term to the tokens that it creates for the title
and plot
fields starting from the right side of the words as delimited by the analyzer.
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 }
In these results, the characters inter
appear somewhere in a word in the title
or plot
field. MongoDB Search returns results with words that contain the specified query string because MongoDB Search matches the query term to the tokens between 3 to 7 characters in length that it creates for the title
and plot
fields.
패싯 쿼리를 통한 버킷 결과
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
다음 쿼리를 복사하여 Query Editor에 붙여 넣은 다음 Query Editor에서 Search 버튼을 클릭합니다.
[ { "$searchMeta": { "facet": { "operator": { "autocomplete": { "query": "Gravity", "path": "title" } }, "facets": { "titleFacet": { "type": "string", "path": "title" } } } } } ]
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
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 }])
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
movies
컬렉션의 Aggregations 탭에서 드롭다운에서 단계를 선택하고 해당 단계에 대한 쿼리를 추가하여 다음 각 파이프라인 단계를 구성합니다.
파이프라인 단계 | 쿼리 | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
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 }
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
1 package main 2 3 import ( 4 "context" 5 "fmt" 6 7 "go.mongodb.org/mongo-driver/v2/bson" 8 "go.mongodb.org/mongo-driver/v2/mongo" 9 "go.mongodb.org/mongo-driver/v2/mongo/options" 10 ) 11 12 func main() { 13 // connect to your Atlas cluster 14 client, err := mongo.Connect(options.Client().ApplyURI("<connection-string>")) 15 if err != nil { 16 panic(err) 17 } 18 defer client.Disconnect(context.TODO()) 19 20 // set namespace 21 collection := client.Database("sample_mflix").Collection("movies") 22 23 // define pipeline stages 24 searchMetaStage := bson.D{{Key: "$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 }
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
1 import com.mongodb.client.MongoClient; 2 import com.mongodb.client.MongoClients; 3 import com.mongodb.client.MongoCollection; 4 import com.mongodb.client.MongoDatabase; 5 import org.bson.Document; 6 7 import java.util.Arrays; 8 9 public class FacetAutocompleteExample { 10 public static void main(String[] args) { 11 // connect to your Atlas cluster 12 String uri = "<connection-string>"; 13 14 try (MongoClient mongoClient = MongoClients.create(uri)) { 15 // set namespace 16 MongoDatabase database = mongoClient.getDatabase("sample_mflix"); 17 MongoCollection<Document> collection = database.getCollection("movies"); 18 19 // define pipeline 20 Document agg = new Document("$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 }
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
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 }
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
1 const { MongoClient } = require("mongodb"); 2 3 // connect to your Atlas cluster 4 const uri = 5 "<connection-string>"; 6 7 const client = new MongoClient(uri); 8 9 async function run() { 10 try { 11 await client.connect(); 12 13 // set namespace 14 const database = client.db("sample_mflix"); 15 const coll = database.collection("movies"); 16 17 // define pipeline 18 const agg = [{$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);
다음 쿼리는 $searchMeta
단계를 사용하여 movies
컬렉션의 title
필드에 Gravity
라는 용어가 포함된 영화의 고유 값을 반환합니다. 이 쿼리의 인덱스 정의는 토큰 인덱스에서 반환되는 결과를 제한합니다. 여기서 자동 완성 및 토큰 유형이 모두 title
필드에 있습니다.
1 import pymongo 2 3 # connect to your Atlas cluster 4 client = pymongo.MongoClient('<connection-string>') 5 6 # define pipeline 7 pipeline = [{"$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
Search Tester는 반환하는 문서의 모든 필드를 표시하지 않을 수 있습니다. 쿼리 경로에 지정한 필드를 비롯하여 모든 필드를 보려면 결과에서 문서를 펼칩니다.
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 returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
[ { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Defying Gravity' }, { title: 'Laws of Gravity' } ]
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
[ { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Gravity' }, { title: 'Defying Gravity' }, { title: 'Laws of Gravity' } ]
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
{ "title" : "Gravity" } { "title" : "Gravity" } { "title" : "Gravity" } { "title" : "Defying Gravity" } { "title" : "Laws of Gravity" }
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
[{title Gravity}], [{title Gravity}], [{title Gravity}], [{title Defying Gravity}], [{title Laws of Gravity}]
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
{"title": "Gravity"} {"title": "Gravity"} {"title": "Gravity"} {"title": "Defying Gravity"} {"title": "Laws of Gravity"}
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
Document{{title=Gravity}} Document{{title=Gravity}} Document{{title=Gravity}} Document{{title=Defying Gravity}} Document{{title=Laws of Gravity}}
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
{ title: 'Gravity' } { title: 'Gravity' } { title: 'Gravity' } { title: 'Defying Gravity' } { title: 'Laws of Gravity' }
MongoDB Search returns documents that contain the term Gravity
in the title
field. The count
field in the results indicate the number of documents in the collection with the same title. In the results, MongoDB Search found three documents in the collection with Gravity
as its title, but MongoDB Search omitted the duplicate titles and returned only one matching document.
아래 결과와 같이 중복된 제목을 보려면 패싯 없이 앞의 자동 완성 연산자 쿼리를 실행하고 $search
단계를 대신 사용합니다. 또한 $project
단계를 사용하여 title
을 제외한 모든 필드를 제외해야 합니다.
{ 'title': 'Gravity' } { 'title': 'Gravity' } { 'title': 'Gravity' } { 'title': 'Defying Gravity' } { 'title': 'Laws of Gravity' }
자세히 알아보기
To learn more, see How to Run Autocomplete and Partial Match MongoDB Search Queries.