Insert and View a Document

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using MongoDB.Bson;
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using MongoDB.Bson.Serialization.Attributes;
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using MongoDB.Bson.Serialization.Conventions;
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using MongoDB.Driver;
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public class InsertData
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{
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  // Replace the following with your Atlas connection string      
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    private const string MongoConnectionString = "<connection-string>";
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  public static void Main(string[] args)
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  {
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    // Connect to your Atlas cluster
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    var client = new MongoClient(MongoConnectionString);
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    // Reference the database and collection to use
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    var database = client.GetDatabase("gettingStarted");
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    var peopleCollection = database.GetCollection<Person>("people");
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    // Create new documents
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    var newPerson = new List<Person>() {
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        new Person {
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            Name = new Name { First = "Alan", Last = "Turing" },
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            Birth = new DateTime(1912, 5, 23), // May 23, 1912                                                                                                                            
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            Death = new DateTime(1954, 5, 7),  // May 7, 1954                                                                                                                                 
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            Contribs = new string[] {"Turing machine", "Turing test", "Turingery"},
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            Views = 1250000
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        },new Person {
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            Name = new Name { First = "Grace", Last = "Hopper" },
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            Birth = new DateTime(1906, 12, 9), // Dec 9, 1906                                                                                                                            
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            Death = new DateTime(1992, 1, 1),  // Jan 1, 1992                                                                                                                                 
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            Contribs = new string[] {"Mark I", "UNIVAC", "COBOL"},
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            Views = 3860000
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        }
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    };
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    // Insert the documents into the specified collection
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    peopleCollection.InsertMany(newPerson);
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    // Find the document
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    var filter = Builders<Person>.Filter
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      .Eq(person => person.Name.Last, "Turing");
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    var document = peopleCollection.Find(filter).FirstOrDefault();
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    // Print the result
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    Console.WriteLine($"Document found:\n{document.ToBsonDocument()}");
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  }
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}
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public class Person
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{
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    public ObjectId Id { get; set; }
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    public Name Name { get; set; }
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    public DateTime Birth { get; set; }
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    public DateTime Death { get; set; }
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    public string[] Contribs { get; set; }
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    public int Views { get; set; }
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}
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public class Name
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{
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    public string First { get; set; }
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    public string Last { get; set; }
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}

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package main
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import (
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	"context"
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	"fmt"
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	"time"
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	"go.mongodb.org/mongo-driver/bson"
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	"go.mongodb.org/mongo-driver/mongo"
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	"go.mongodb.org/mongo-driver/mongo/options"
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)
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// Define structure of documents in the people collection
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type Person struct {
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	Name     Name
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	Birth    time.Time
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	Death    time.Time
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	Contribs []string
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	Views    int
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}
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type Name struct {
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	First string
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	Last  string
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}
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func main() {
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	// Replace the following with your Atlas connection string
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	uri := "<connection-string>"
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	// Connect to your Atlas cluster
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	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI(uri))
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	if err != nil {
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		panic(err)
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	}
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	defer client.Disconnect(context.TODO())
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	// Reference the database and collection to use
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	collection := client.Database("gettingStarted").Collection("people")
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	// Create new documents
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	newPeople := []interface{}{
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		Person{
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			Name:     Name{First: "Alan", Last: "Turing"},
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			Birth:    time.Date(1912, 5, 23, 0, 0, 0, 0, time.UTC), // May 23, 1912
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			Death:    time.Date(1954, 5, 7, 0, 0, 0, 0, time.UTC),  // May 7, 1954
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			Contribs: []string{"Turing machine", "Turing test", "Turingery"},
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			Views:    1250000,
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		},
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		Person{
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			Name:     Name{First: "Grace", Last: "Hopper"},
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			Birth:    time.Date(1906, 12, 9, 0, 0, 0, 0, time.UTC), // Dec 9, 1906
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			Death:    time.Date(1992, 1, 1, 0, 0, 0, 0, time.UTC),  // Jan 1, 1992
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			Contribs: []string{"Mark I", "UNIVAC", "COBOL"},
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			Views:    3860000,
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		},
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	}
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	// Insert the document into the specified collection
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	collection.InsertMany(context.TODO(), newPeople)
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	// Find the document
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	collection = client.Database("gettingStarted").Collection("people")
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	filter := bson.D{{"name.last", "Turing"}}
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	var result Person
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	err = collection.FindOne(context.TODO(), filter).Decode(&result)
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	if err != nil {
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		panic(err)
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	}
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	// Print results
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	fmt.Printf("Document Found:\n%+v\n", result)
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}

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import static com.mongodb.client.model.Filters.eq;
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import com.mongodb.client.MongoClient;
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import com.mongodb.client.MongoClients;
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import com.mongodb.client.MongoCollection;
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import com.mongodb.client.MongoDatabase;
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import com.mongodb.client.result.InsertManyResult;
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import com.mongodb.MongoException;
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import java.util.Arrays;
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import java.util.List;
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import java.util.Date;
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import java.time.Instant;
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import org.bson.types.ObjectId;
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import org.bson.Document;
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public class InsertData {
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    public static void main(String[] args) {
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        // Replace the placeholder with your Atlas connection string
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        String uri = "<connection-string>";
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        // Connect to your Atlas Cluster and insert a document
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        try (MongoClient mongoClient = MongoClients.create(uri)) {
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            // Reference the database and collection to use
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            MongoDatabase database = mongoClient.getDatabase("gettingStarted");
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            MongoCollection<Document> collection = database.getCollection("people");
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            // Create two documents
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            List<Document> peopleList = Arrays.asList(
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                    new Document().append("name", new Document().append("first", "Alan").append("last", "Turing"))
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                            .append("birth", Date.from(Instant.parse("1912-05-23T00:00:00.000+00:00")))
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                            .append("death", Date.from(Instant.parse("1954-05-07T00:00:00.000+00:00")))
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                            .append("contribs", Arrays.asList("Turing machine", "Turing test", "Turingery"))
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                            .append("views", 1250000),
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                    new Document().append("name", new Document().append("first", "Grace").append("last", "Hopper"))
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                            .append("birth", Date.from(Instant.parse("1906-12-09T00:00:00.000+00:00")))
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                            .append("death", Date.from(Instant.parse("1992-01-01T00:00:00.000+00:00")))
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                            .append("contribs", Arrays.asList("Mark I", "UNIVAC", "COBOL"))
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                            .append("views", 3860000)
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                    );
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            try {
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                // Insert the documents into the specified collection
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                InsertManyResult result = collection.insertMany(peopleList);
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            } catch (MongoException me) {
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                System.err.println("Unable to insert due to an error: " + me);
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            }
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            // Find the document
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            Document document = collection.find(eq("name.last", "Turing"))
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                    .first();
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            // Print results
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            if (document == null) {
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                System.out.println("No results found.");
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            } else {
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                System.out.println("Document found:");
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                System.out.println(document.toJson());
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            }
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        }
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    }
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}

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const { MongoClient } = require("mongodb");
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// Replace the following with your Atlas connection string
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const uri =  
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  "<connection-string>";
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const client = new MongoClient(uri);
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 async function run() {
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    try {
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        // Connect to the Atlas cluster
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         await client.connect();
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         // Get the database and collection on which to run the operation
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         const db = client.db("gettingStarted");
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         const col = db.collection("people");
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         // Create new documents                                                                                                                                         
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         const peopleDocuments = [
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           {
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             "name": { "first": "Alan", "last": "Turing" },
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             "birth": new Date(1912, 5, 23), // May 23, 1912                                                                                                                                 
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             "death": new Date(1954, 5, 7),  // May 7, 1954                                                                                                                                  
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             "contribs": [ "Turing machine", "Turing test", "Turingery" ],
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             "views": 1250000
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           },
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           {
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             "name": { "first": "Grace", "last": "Hopper" },
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             "birth": new Date(1906, 12, 9), // Dec 9, 1906                                                                                                                                 
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             "death": new Date(1992, 1, 1),  // Jan 1, 1992                                                                                                                                  
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             "contribs": [ "Mark I", "UNIVAC", "COBOL" ],
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             "views": 3860000
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           }
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         ]
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         // Insert the documents into the specified collection        
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         const p = await col.insertMany(peopleDocuments);
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         // Find the document
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         const filter = { "name.last": "Turing" };
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         const document = await col.findOne(filter);
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         // Print results
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         console.log("Document found:\n" + JSON.stringify(document));
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        } catch (err) {
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         console.log(err.stack);
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     }
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     finally {
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        await client.close();
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    }
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}
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run().catch(console.dir);

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import pymongo
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import datetime
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# connect to your Atlas cluster
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client = pymongo.MongoClient('<connection-string>')
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# get the database and collection on which to run the operation
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collection = client['gettingStarted']['people']
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# create new documents
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peopleDocuments = [
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    {
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      "name": { "first": "Alan", "last": "Turing" },
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      "birth": datetime.datetime(1912, 6, 23),
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      "death": datetime.datetime(1954, 6, 7),
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      "contribs": [ "Turing machine", "Turing test", "Turingery" ],
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      "views": 1250000
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    }, 
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    {
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      "name": { "first": "Grace", "last": "Hopper" },
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      "birth": datetime.datetime(1906, 12, 9),
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      "death": datetime.datetime(1992, 1, 1),
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      "contribs": [ "Mark I", "UNIVAC", "COBOL" ],
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      "views": 3860000
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    }
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]
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# insert documents
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collection.insert_many(peopleDocuments)
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# find documents 
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result = collection.find_one({ "name.last": "Turing" })
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# print results
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print("Document found:\n", result)