ドキュメントの変更

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// Update a document
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import { MongoClient } from "mongodb";
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// Replace the uri string with your MongoDB deployment's connection string
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const uri = "<connection string uri>";
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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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    const database = client.db("sample_mflix");
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    const movies = database.collection("movies");
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    // Create a filter for movies with the title "Random Harvest"
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    const filter = { title: "Random Harvest" };
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    /* Set the upsert option to insert a document if no documents match
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    the filter */
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    const options = { upsert: true };
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    // Specify the update to set a value for the plot field
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    const updateDoc = {
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      $set: {
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        plot: `A harvest of random numbers, such as: ${Math.random()}`
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      },
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    };
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    // Update the first document that matches the filter
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    const result = await movies.updateOne(filter, updateDoc, options);
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    // Print the number of matching and modified documents
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    console.log(
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      `${result.matchedCount} document(s) matched the filter, updated ${result.modifiedCount} document(s)`,
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    );
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  } finally {
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    // Close the connection after the operation completes
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    await client.close();
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  }
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}
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// Run the program and print any thrown errors
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run().catch(console.dir);

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// Update a document
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import { MongoClient } from "mongodb";
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// Replace the uri string with your MongoDB deployment's connection string
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const uri = "<connection string uri>";
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const client = new MongoClient(uri);
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// Define the Movie interface
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interface Movie {
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  plot: string;
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  title: string;
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}
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async function run() {
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  try {
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    const database = client.db("sample_mflix");
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    const movies = database.collection<Movie>("movies");
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    /* Update a document that has the title "Random Harvest" to have a
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    plot field with the specified value */
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    const result = await movies.updateOne(
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      { title: "Random Harvest" },
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      {
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        $set: {
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          plot: `A harvest of random numbers, such as: ${Math.random()}`,
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        },
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      },
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      /* Set the upsert option to insert a document if no documents
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      match the filter */
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      { upsert: true }
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    );
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    // Print the number of matching and modified documents
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    console.log(
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      `${result.matchedCount} document(s) matched the filter, updated ${result.modifiedCount} document(s)`
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    );
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  } finally {
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    // Close the connection after the operation completes
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    await client.close();
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  }
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}
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// Run the program and print any thrown errors
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run().catch(console.dir);

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/* Update multiple documents */
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import { MongoClient } from "mongodb";
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// Replace the uri string with your MongoDB deployment's connection string
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const uri = "<connection string uri>";
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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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    // Get the "movies" collection in the "sample_mflix" database
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    const database = client.db("sample_mflix");
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    const movies = database.collection("movies");
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    // Create a filter to update all movies with a 'G' rating
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    const filter = { rated: "G" };
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    // Create an update document specifying the change to make
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    const updateDoc = {
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      $set: {
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        random_review: `After viewing I am ${
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          100 * Math.random()
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        }% more satisfied with life.`,
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      },
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    };
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    // Update the documents that match the specified filter
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    const result = await movies.updateMany(filter, updateDoc);
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    console.log(`Updated ${result.modifiedCount} documents`);
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  } finally {
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    // Close the database connection on completion or error
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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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/* Update multiple documents */
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import { MongoClient } from "mongodb";
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// Replace the uri string with your MongoDB deployment's connection string.
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const uri = "<connection string uri>";
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const client = new MongoClient(uri);
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enum Rating {
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  G = "G",
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  PG = "PG",
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  PG_13 = "PG-13",
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  R = "R",
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  NR = "NOT RATED",
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}
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// Create a Movie interface
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interface Movie {
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  rated: Rating;
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  random_review?: string;
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}
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async function run() {
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  try {
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    // Get the "movies" collection in the "sample_mflix" database
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    const database = client.db("sample_mflix");
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    const movies = database.collection<Movie>("movies");
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    // Update all documents that match the specified filter
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    const result = await movies.updateMany(
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      { rated: Rating.G },
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      {
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        $set: {
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          random_review: `After viewing I am ${
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            100 * Math.random()
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          }% more satisfied with life.`,
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        },
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      }
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    );
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    console.log(`Updated ${result.modifiedCount} documents`);
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  } finally {
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    // Close the database connection on completion or error
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    await client.close();
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  }
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}
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run().catch(console.dir);