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import { MongoClient } from "mongodb";
// Replace the uri string with your MongoDB deployment's connection string.const uri = "<connection string uri>";
const client = new MongoClient(uri);
async function run() {  try {        // Get the database and collection on which to run the operation    const database = client.db("sample_mflix");    const movies = database.collection("movies");
    // Query for a movie that has the title 'The Room'    const query = { title: "The Room" };
    const options = {      // Sort matched documents in descending order by rating      sort: { "imdb.rating": -1 },      // Include only the `title` and `imdb` fields in the returned document      projection: { _id: 0, title: 1, imdb: 1 },    };
    // Execute query    const movie = await movies.findOne(query, options);
    // Print the document returned by findOne()    console.log(movie);  } finally {    await client.close();  }}run().catch(console.dir);

import { MongoClient } from "mongodb";
// Replace the uri string with your MongoDB deployment's connection string.const uri = "<connection string uri>";
const client = new MongoClient(uri);
interface IMDB {  rating: number;  votes: number;  id: number;}
export interface Movie {  title: string;  year: number;  released: Date;  plot: string;  type: "movie" | "series";  imdb: IMDB;}
type MovieSummary = Pick<Movie, "title" | "imdb">;
async function run(): Promise<void> {  try {    const database = client.db("sample_mflix");    // Specifying a Schema is always optional, but it enables type hinting on    // finds and inserts    const movies = database.collection<Movie>("movies");
    const movie = await movies.findOne<MovieSummary>(      { title: "The Room" },      {        sort: { rating: -1 },        projection: { _id: 0, title: 1, imdb: 1 },      }    );    console.log(movie);  } finally {    await client.close();  }}run().catch(console.dir);

1import { MongoClient } from "mongodb";2
3// Replace the uri string with your MongoDB deployment's connection string.4const uri = "<connection string uri>";5
6const client = new MongoClient(uri);7
8async function run() {9  try {10    11    // Get the database and collection on which to run the operation12    const database = client.db("sample_mflix");13    const movies = database.collection("movies");14
15    // Query for movies that have a runtime less than 15 minutes16    const query = { runtime: { $lt: 15 } };17    const sortFields = { title: 1 };18    const projectFields = { _id: 0, title: 1, imdb: 1 };19
20    // Execute query 21    const cursor = movies.find(query).sort(sortFields).project(projectFields);22
23    // Print a message if no documents were found24    if ((await movies.countDocuments(query)) === 0) {25      console.log("No documents found!");26    }27
28    // Print returned documents29    for await (const doc of cursor) {30      console.dir(doc);31    }32
33  } finally {34    await client.close();35  }36}37run().catch(console.dir);

1import { MongoClient } from "mongodb";2
3// Replace the uri string with your MongoDB deployment's connection string.4const uri = "<connection string uri>";5
6const client = new MongoClient(uri);7
8type Minutes = number;9
10interface IMDB {11  rating: number;12  votes: number;13  id: number;14}15
16interface Movie {17  title: string;18  imdb: IMDB;19  runtime: Minutes;20}21
22async function run() {23  try {24    const database = client.db("sample_mflix");25    const movies = database.collection<Movie>("movies");26
27    const query = { runtime: { $lt: 15 } };28    const sortFields = { title: 1 };29    const projectFields = { _id: 0, title: 1, imdb: 1 };30
31    const cursor = movies.find<Movie>(query).sort(sortFields).project(projectFields);32
33    if ((await movies.countDocuments(query)) === 0) {34      console.warn("No documents found!");35    }36
37    for await (const doc of cursor) {38      console.dir(doc);39    } 40  } finally {41    await client.close();42  }43}44run().catch(console.dir);