このページは Cloud Translation API によって翻訳されました。

Firestore ドキュメントに対してバッチアップデートを実行する

このコードサンプルを含む詳細なドキュメントについては、以下をご覧ください。

コードサンプル

C#

Firestore に対する認証を行うには、アプリケーションのデフォルト認証情報を設定します。詳細については、ローカル開発環境の認証の設定をご覧ください。

WriteBatch batch = db.StartBatch();

// Set the data for NYC
DocumentReference nycRef = db.Collection("cities").Document("NYC");
Dictionary<string, object> nycData = new Dictionary<string, object>
{
    { "name", "New York City" }
};
batch.Set(nycRef, nycData);

// Update the population for SF
DocumentReference sfRef = db.Collection("cities").Document("SF");
Dictionary<string, object> updates = new Dictionary<string, object>
{
    { "Population", 1000000}
};
batch.Update(sfRef, updates);

// Delete LA
DocumentReference laRef = db.Collection("cities").Document("LA");
batch.Delete(laRef);

// Commit the batch
await batch.CommitAsync();

Go


import (
	"context"
	"log"

	"cloud.google.com/go/firestore"
)

func batchWrite(ctx context.Context, client *firestore.Client) error {
	// Get a new write batch.
	batch := client.Batch()

	// Set the value of "NYC".
	nycRef := client.Collection("cities").Doc("NYC")
	batch.Set(nycRef, map[string]interface{}{
		"name": "New York City",
	})

	// Update the population of "SF".
	sfRef := client.Collection("cities").Doc("SF")
	batch.Set(sfRef, map[string]interface{}{
		"population": 1000000,
	}, firestore.MergeAll)

	// Delete the city "LA".
	laRef := client.Collection("cities").Doc("LA")
	batch.Delete(laRef)

	// Commit the batch.
	_, err := batch.Commit(ctx)
	if err != nil {
		// Handle any errors in an appropriate way, such as returning them.
		log.Printf("An error has occurred: %s", err)
	}

	return err
}

Java

// Get a new write batch
WriteBatch batch = db.batch();

// Set the value of 'NYC'
DocumentReference nycRef = db.collection("cities").document("NYC");
batch.set(nycRef, new City());

// Update the population of 'SF'
DocumentReference sfRef = db.collection("cities").document("SF");
batch.update(sfRef, "population", 1000000L);

// Delete the city 'LA'
DocumentReference laRef = db.collection("cities").document("LA");
batch.delete(laRef);

// asynchronously commit the batch
ApiFuture<List<WriteResult>> future = batch.commit();
// ...
// future.get() blocks on batch commit operation
for (WriteResult result : future.get()) {
  System.out.println("Update time : " + result.getUpdateTime());
}

Node.js

// Get a new write batch
const batch = db.batch();

// Set the value of 'NYC'
const nycRef = db.collection('cities').doc('NYC');
batch.set(nycRef, {name: 'New York City'});

// Update the population of 'SF'
const sfRef = db.collection('cities').doc('SF');
batch.update(sfRef, {population: 1000000});

// Delete the city 'LA'
const laRef = db.collection('cities').doc('LA');
batch.delete(laRef);

// Commit the batch
await batch.commit();

PHP

$batch = $db->batch();

# Set the data for NYC
$nycRef = $db->collection('samples/php/cities')->document('NYC');
$batch->set($nycRef, [
    'name' => 'New York City'
]);

# Update the population for SF
$sfRef = $db->collection('samples/php/cities')->document('SF');
$batch->update($sfRef, [
    ['path' => 'population', 'value' => 1000000]
]);

# Delete LA
$laRef = $db->collection('samples/php/cities')->document('LA');
$batch->delete($laRef);

# Commit the batch
$batch->commit();

Python

batch = db.batch()

# Set the data for NYC
nyc_ref = db.collection("cities").document("NYC")
batch.set(nyc_ref, {"name": "New York City"})

# Update the population for SF
sf_ref = db.collection("cities").document("SF")
batch.update(sf_ref, {"population": 1000000})

# Delete DEN
den_ref = db.collection("cities").document("DEN")
batch.delete(den_ref)

# Commit the batch
batch.commit()

Ruby

firestore.batch do |b|
  # Set the data for NYC
  b.set "#{collection_path}/NYC", { name: "New York City" }

  # Update the population for SF
  b.update "#{collection_path}/SF", { population: 1_000_000 }

  # Delete LA
  b.delete "#{collection_path}/LA"
end

次のステップ

他の Google Cloud プロダクトのコードサンプルを検索およびフィルタするには、Google Cloud サンプルブラウザをご覧ください。

Firestore ドキュメントに対してバッチ アップデートを実行する コレクションでコンテンツを整理 必要に応じて、コンテンツの保存と分類を行います。

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