Tiempo estimado de finalización: 5 minutos
To use MongoDB Search Community Edition, you must connect to your MongoDB Community deployment. Use the following methods to connect to your MongoDB Community deployment:
The MongoDB Shell, an interactive command line interface to MongoDB.
MongoDB Compass, a GUI for your MongoDB data.
A MongoDB driver. To see all available languages, refer to the MongoDB Driver documentation.
➤ Use the Select your language drop-down menu to set the client for the procedure on this page.
Requisitos previos
Antes de comenzar, debe tener los siguientes requisitos previos:
MongoDB Community and MongoDB Search Community
Nota
Make sure that both the
mongodandmongotprocesses are running.Valid username and password to connect
If you haven't already created a user on your replica set, run the following commands in your terminal to create a user:
Connect to replica set by using
mongosh.mongosh Run the following commands to create a
mongotUseruser in theadmindatabase with thesearchCoordinatorrole. MongoDB uses themongotUseruser to authenticatemongotwithmongod.use admin db.createUser( { user: "mongotUser", pwd: passwordPrompt(), roles: [ { role: "searchCoordinator", db: "admin" } ] } ) Users with the
searchCoordinatorrole havereadAnyDatabaseprivileges and write permissions on the__mdb_internal_searchdatabase.Importante
No se debe modificar el contenido de la base de datos
__mdb_internal_search.
Connection string to the replica set
La cadena de conexión para un set de réplicas incluye todos los nodos nodos. Por lo tanto, necesita el nombre del set de réplicas y los nombres de host o direcciones IP y puertos de todos los miembros del set de réplicas para conectarse.
MongoDB Compass
Un terminal
Un editor de texto
A C# project
To initialize a project, run the
dotnet new consolecommand in your project directory. To learn more, see C# Quick Start.
Un terminal
Un editor de texto
A Go project
To initialize a project, use the
go modcommand. To learn more, see Go Quick Start.MongoDB Go driver
To download and install the Go driver and driver dependencies, run the following commands:
go get go.mongodb.org/mongo-driver/v2/mongo go get github.com/joho/godotenv
Java Development Kit (JDK) version 8 or later
The driver dependencies installed by using Maven or Gradle
We recommend using an integrated development environment (IDE) such as IntelliJ IDEA or Eclipse IDE to configure the dependencies.
Para configurar Maven o Gradle para compilar y ejecutar su proyecto, consulte Añada MongoDB como dependencia.
Para instalar el Node.js Driver, ejecuta el siguiente comando en un terminal:
npm install mongodb --save
Un terminal
Un editor de texto
To download the latest version of Python for your operating system, see Python Downloads Page.
The pip package installer
Desde Python 2.7.9 y Python 3.4 en adelante, los paquetes descargados de https://python.org incluyen
pip.To install
pipmanually, see the pip installation page. This package includes Python.
Connect to Your Replica Set
Use your replica set's connection string to connect to your replica set with your preferred client. To ensure that you configured mongot and mongod correctly, you can run a command that retrieves search indexes.
Paste and run the command to connect in your terminal.
For example, run a command similar to the following to connect after replacing the placeholder values in the command:
mongosh -u <USER-NAME> -p <USER-PASSWORD> --authenticationDatabase "<AUTHENTICATION-DB>" --host <HOST-NAME> --port <PORT-NUMBER>
You should now be connected to your replica set and your terminal should display something similar to the following:
rs0 [direct: primary] test>
Verify your connection to the search instance.
To verify, perform the following steps:
Agrega un documento a una colección llamada
movies.db.movies.insertOne({"title": "Back to the Future"}) { acknowledged: true, insertedId: ObjectId('67e42132a1cd6f443d5337b1') } Retrieve all search indexes for the
moviescollection.db.runCommand({"listSearchIndexes": "movies"}); { cursor: { id: 0, ns: 'test.movies', firstBatch: [] }, ok: 1, '$clusterTime': { clusterTime: Timestamp({ t: 1743003975, i: 1 }), signature: { hash: Binary.createFromBase64('H1nlTKJBRCfZXrWul9AhGRVpIQ0=', 0), keyId: Long('7484323578087735302') } }, operationTime: Timestamp({ t: 1743003975, i: 1 }) } Nota
The results don't contain any indexes because the sample code didn't create any index for the
moviescollection.
To learn more, see Connect to a Deployment.
Para aprender más, consulta Conéctese a MongoDB.
The following sample application connects to your replica set with your connection string and sends a ping to confirm a successful connection. To test the sample application, perform the following steps:
Cree un nuevo directorio llamado
connecte inicialice su proyecto usando el comandodotnet new.mkdir connect cd connect dotnet new console Se debe ejecutar el siguiente comando para agregar el .NET/C# Driver al proyecto como dependencia:
dotnet add package MongoDB.Driver Sus configuraciones de conexión en el archivo
Program.cs.Replace the contents of the
Program.csfile with the following code. The sample code does the following:Connects to your local deployment.
Inserts a collection named
movieswith one document in thetestdatabase.Retrieves all search indexes for the collection.
1 using MongoDB.Bson; 2 using MongoDB.Driver; 3 4 public class Connect 5 { 6 // Replace the following with your connection string 7 private const string MongoConnectionString = "<CONNECTION-STRING>"; 8 9 public static void Main(string[] args) 10 { 11 // Connect to your replica set 12 var client = new MongoClient(MongoConnectionString); 13 14 // Send a ping to confirm a successful connection 15 try { 16 var result = client.GetDatabase("admin").RunCommand<BsonDocument>(new BsonDocument("ping", 1)); 17 Console.WriteLine("Successfully connected to Replica Set"); 18 } 19 catch (Exception e) { Console.WriteLine(e);} 20 21 // Insert a document to a collection 22 var database = client.GetDatabase("test"); 23 var collection = database.GetCollection<BsonDocument>("movies"); 24 var movieDocument = new BsonDocument{{"title", "Back to the Future"}}; 25 try { 26 collection.InsertOne(movieDocument); 27 Console.WriteLine("Document inserted successfully."); 28 } 29 catch (Exception e) { 30 Console.WriteLine($"Insertion error: {e.Message}"); 31 } 32 33 // List search indexes 34 try { 35 var result = collection.SearchIndexes.List().ToList(); 36 if (indexes.Count == 0) { 37 Console.WriteLine("No indexes found on the collection."); 38 } 39 else { 40 Console.WriteLine("Indexes on the collection:"); 41 foreach (var index in indexes) 42 { 43 Console.WriteLine(index.ToJson()); 44 } 45 } 46 } 47 catch (Exception e) { 48 Console.WriteLine($"Error listing indexes: {e.Message}"); 49 } 50 } 51 } Replace the placeholder (line 7) with your connection string and save the file.
Run your application.
dotnet run Program.cs Successfully connected to MongoDB. Document inserted successfully. No indexes found on the collection. Nota
The results don't contain any indexes because the sample code didn't create any index for the
moviescollection.
Para obtener más información, consulta Opciones de conexión.
The following sample application connects to your replica set with your connection string and sends a ping to confirm a successful connection. Test the sample application with the following steps:
Cree un nuevo directorio llamado
connecte inicialice su proyecto usando el comandogo mod.mkdir connect cd connect go mod init connect Define your connection settings in a
.gofile.In your project, create a new file called
connect.goand paste the following code.1 package main 2 3 import ( 4 "context" 5 "encoding/json" 6 "fmt" 7 "log" 8 9 "go.mongodb.org/mongo-driver/bson" 10 "go.mongodb.org/mongo-driver/mongo" 11 "go.mongodb.org/mongo-driver/mongo/options" 12 "go.mongodb.org/mongo-driver/mongo/readpref" 13 ) 14 15 type Movie struct { 16 Title string `bson:"title"` 17 } 18 19 func main() { 20 // Replace with your connection string 21 uri := "<CONNECTION-STRING>" 22 23 // Connect to MongoDB 24 client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI(uri)) 25 if err != nil { 26 log.Fatalf("Failed to connect to MongoDB: %v", err) 27 } 28 defer func() { 29 if err = client.Disconnect(context.TODO()); err != nil { 30 log.Fatalf("Failed to disconnect MongoDB client: %v", err) 31 } 32 }() 33 34 // Ping to confirm connection 35 if err := client.Ping(context.TODO(), readpref.Primary()); err != nil { 36 log.Fatalf("Failed to ping MongoDB: %v", err) 37 } 38 fmt.Println("Successfully connected to MongoDB") 39 40 // Insert a document to a collection 41 coll := client.Database("test").Collection("movies") 42 newMovie := Movie{Title: "Back to the Future"} 43 result, err := coll.InsertOne(context.TODO(), newMovie) 44 if err != nil { 45 log.Fatalf("Failed to insert document: %v", err) 46 } 47 fmt.Printf("Inserted document ID: %v\n", result.InsertedID) 48 49 // List search indexes 50 listOpts := options.ListSearchIndexesOptions{} 51 ctx := context.TODO() 52 cursor, err := coll.SearchIndexes().List(ctx, nil, &listOpts) 53 if err != nil { 54 log.Fatalf("Failed to list search indexes: %v", err) 55 } 56 57 var results []bson.D 58 if err = cursor.All(ctx, &results); err != nil { 59 log.Fatalf("Failed to iterate over cursor: %v", err) 60 } 61 62 res, err := json.Marshal(results) 63 if err != nil { 64 log.Fatalf("Failed to marshal results to JSON: %v", err) 65 } 66 fmt.Println("Search indexes found:", string(res)) 67 } Replace the placeholder (line 15) with your connection string and save the file.
Run your application.
go run connect.go Successfully connected to MongoDB Inserted document ID: ObjectID("67e42df345bc0b636fe340f0") Search indexes found: null Nota
The results don't contain any indexes because the sample code didn't create any index for the
moviescollection.
To learn more, see Connections.
The following sample application connects to your replica set with your connection string. To test the sample application, perform the following steps:
Define your connection settings in a Java class file.
Copy the following code into a file called
Connect.java.1 import com.mongodb.ConnectionString; 2 import com.mongodb.MongoClientSettings; 3 import com.mongodb.MongoException; 4 import com.mongodb.ServerApi; 5 import com.mongodb.ServerApiVersion; 6 import com.mongodb.client.MongoClient; 7 import com.mongodb.client.MongoClients; 8 import com.mongodb.client.MongoCollection; 9 import com.mongodb.client.MongoCursor; 10 import com.mongodb.client.MongoDatabase; 11 import org.bson.BsonDocument; 12 import org.bson.BsonInt64; 13 import org.bson.Document; 14 import org.bson.conversions.Bson; 15 16 public class Connect { 17 public static void main(String[] args) { 18 // Replace the placeholder with your Replica Set connection string 19 String uri = "<CONNECTION-STRING>"; 20 21 // Construct a ServerApi instance using the ServerApi.builder() method 22 ServerApi serverApi = ServerApi.builder() 23 .version(ServerApiVersion.V1) 24 .build(); 25 26 MongoClientSettings settings = MongoClientSettings.builder() 27 .applyConnectionString(new ConnectionString(uri)) 28 .serverApi(serverApi) 29 .build(); 30 31 // Create a new client and connect to the server 32 try (MongoClient mongoClient = MongoClients.create(settings)) { 33 MongoDatabase adminDatabase = mongoClient.getDatabase("admin"); 34 try { 35 // Send a ping to confirm a successful connection 36 Bson command = new BsonDocument("ping", new BsonInt64(1)); 37 adminDatabase.runCommand(command); 38 System.out.println("Successfully connected to Replica Set"); 39 } catch (MongoException e) { 40 System.err.println("Ping failed: " + e); 41 } 42 43 // Insert a document into a collection 44 MongoDatabase database = mongoClient.getDatabase("test"); 45 MongoCollection<Document> collection = database.getCollection("movies"); 46 Document movieDocument = new Document("title", "Back to the Future"); 47 try { 48 collection.insertOne(movieDocument); 49 System.out.println("Document inserted successfully."); 50 } catch (MongoException e) { 51 System.err.println("Insertion failed: " + e); 52 } 53 54 // List search indexes 55 try (MongoCursor<Document> resultsCursor = collection.listSearchIndexes().iterator()) { 56 System.out.println("Search indexes found:"); 57 while (resultsCursor.hasNext()) { 58 System.out.println(resultsCursor.next().toJson()); 59 } 60 } catch (MongoException e) { 61 System.err.println("Error listing indexes: " + e); 62 } 63 } catch (MongoException e) { 64 System.err.println("Failed to create MongoClient: " + e); 65 } 66 } 67 } Replace the placeholder (line 14) with your connection string and save the file.
Compile y ejecute el archivo
Connect.javautilizando un IDE o los siguientes comandos:javac Connect.java java Connect Successfully connected to Replica Set Document inserted successfully. Search indexes found: Nota
The results don't contain any indexes because the sample code didn't create any index for the
moviescollection.
Para aprender más, consulta Conéctese a MongoDB.
The following sample application connects to your replica set with your connection string and returns a confirmation message. To test the sample application, perform the following steps:
Define your connection settings in a
.jsfile.Copy the following code into a file called
connect.js.1 const { MongoClient } = require("mongodb"); 2 3 const url = "<CONNECTION-STRING>"; 4 5 // Connect to your Replica Set 6 const client = new MongoClient(url); 7 8 async function run() { 9 try { 10 await client.connect(); 11 console.log("Successfully connected to Replica Set"); 12 13 // Insert a document in a collection 14 const database = client.db("test"); 15 const coll = database.collection("movies"); 16 const doc = { title: "Back to the Future" }; 17 const insertResult = await coll.insertOne(doc); 18 console.log(`Document inserted with _id: ${insertResult.insertedId}`); 19 20 // List search indexes for the collection 21 const searchIndexesResult = await coll.listSearchIndexes().toArray(); 22 console.log("Search indexes:", searchIndexesResult); 23 } catch (err) { 24 console.log("Error occurred:", err.stack); 25 } finally { 26 await client.close(); 27 } 28 } 29 30 run().catch(console.dir); Replace the placeholder (line 4) with your connection string and save the file.
Run the sample application using the following command:
node connect.js Successfully connected to Replica Set Document inserted with _id: 67e432123504d5a7ed2156eb Search indexes: [] Nota
The results don't contain any indexes because the sample code didn't create any index for the
moviescollection.
To learn more, see Connection.
Importe MongoClient de PyMongo.
Para conectarse a una instancia de MongoDB en ejecución, PyMongo requiere
MongoClient. En el shell de Python que se ejecuta en su terminal, ejecute el siguiente comando para importarMongoClient:from pymongo import MongoClient Define your connection settings in a
.pyfile.Copy the following code to a file named
connect.py.1 from pymongo import MongoClient, errors 2 3 # Replace '<connection-string>' with your actual MongoDB connection string 4 connection_string = '<CONNECTION-STRING>' 5 6 # Connect to MongoDB 7 try: 8 client = MongoClient(connection_string) 9 print("Successfully connected to MongoDB.") 10 except errors.ConnectionError as e: 11 print("Failed to connect to MongoDB:", e) 12 exit() 13 14 # Access the database and collection 15 database = client["test"] 16 collection = database["movies"] 17 18 # Insert a document into the collection 19 try: 20 result = collection.insert_one({"title": "Back to the Future"}) 21 print(f"Document inserted with _id: {result.inserted_id}") 22 except Exception as e: 23 print("Failed to insert document:", e) 24 25 # List search indexes for the collection (ensure method exists) 26 try: 27 cursor = collection.list_search_indexes() 28 indexes = list(cursor) # Convert cursor to list for ease 29 if indexes: 30 print("Search indexes found:") 31 for index in indexes: 32 print(index) 33 else: 34 print("No search indexes found.") 35 except Exception as e: 36 print("Failed to list search indexes:", e) 37 38 # Close the client connection (Optionally used here for resource management) 39 client.close() Replace the placeholder (line 4) with your connection string and save the file.
Run the sample application using the following command.
python connect.py Successfully connected to MongoDB. Document inserted with _id: 67e43400bd92a83c1a81cbb4 No search indexes found. Nota
The results don't contain any indexes because the sample code didn't create any index for the
moviescollection.
Para aprender más, consulta Conéctese a MongoDB.
Próximos pasos
Now that you've connected to your replica set, proceed to Query with MongoDB Search Community Edition.