Meringkas data dengan kueri agregasi

Kueri agregasi memproses data dari beberapa entri indeks untuk menampilkan satu nilai ringkasan.

Cloud Firestore mendukung kueri agregasi berikut:

• count()
• sum()
• average()

Cloud Firestore menghitung agregasi dan hanya mengirimkan hasilnya kembali ke aplikasi Anda. Dibandingkan dengan mengeksekusi kueri lengkap dan menghitung agregasi di aplikasi Anda, kueri agregasi menghemat pembacaan dokumen yang ditagihkan dan byte yang ditransfer.

Kueri agregasi bergantung pada konfigurasi indeks yang ada yang sudah digunakan kueri, dan diskalakan secara proporsional dengan jumlah entri indeks yang dipindai. Latensi meningkat seiring dengan jumlah item dalam agregasi.

Catatan: Meskipun contoh-contoh kode di bawah mencakup beberapa bahasa, teks yang menjelaskan contoh-contoh tersebut mengacu pada nama metode Web.

Menggunakan agregasi count()

Kueri agregasi count() memungkinkan Anda menentukan jumlah dokumen dalam koleksi atau kueri.

Lihat contoh data yang kami siapkan di Mendapatkan data.

Agregasi count() berikut menampilkan jumlah total kota dalam cities koleksi.

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(db, "cities");
const snapshot = await getCountFromServer(coll);
console.log('count: ', snapshot.data().count);
count_aggregate_collection.js

Swift

Catatan: Produk ini tidak tersedia di target watchOS dan App Clip.

let query = db.collection("cities")
let countQuery = query.count
do {
  let snapshot = try await countQuery.getAggregation(source: .server)
  print(snapshot.count)
} catch {
  print(error)
}
ViewController.swift

Objective-C

Catatan: Produk ini tidak tersedia di target watchOS dan App Clip.

FIRCollectionReference *query = [self.db collectionWithPath:@"cities"];
[query.count aggregationWithSource:FIRAggregateSourceServer
                        completion:^(FIRAggregateQuerySnapshot *snapshot,
                                     NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching count: %@", error);
    } else {
        NSLog(@"Cities count: %@", snapshot.count);
    }
}];
ViewController.m

Java

Query query = db.collection("cities");
AggregateQuery countQuery = query.count();
countQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Count fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Count: " + snapshot.getCount());
        } else {
            Log.d(TAG, "Count failed: ", task.getException());
        }
    }
});
DocSnippets.java

Kotlin+KTX

val query = db.collection("cities")
val countQuery = query.count()
countQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Count fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Count: ${snapshot.count}")
    } else {
        Log.d(TAG, "Count failed: ", task.getException())
    }
}
DocSnippets.kt

Dart

// Returns number of documents in users collection
db.collection("users").count().get().then(
      (res) => print(res.count),
      onError: (e) => print("Error completing: $e"),
    );
firestore.dart

Go

package firestore

import (
	"context"
	"errors"
	"fmt"
	"io"

	"cloud.google.com/go/firestore"
	firestorepb "cloud.google.com/go/firestore/apiv1/firestorepb"
)

func createCountQuery(w io.Writer, projectID string) error {

	// Instantiate the client
	ctx := context.Background()
	client, err := firestore.NewClient(ctx, projectID)
	if err != nil {
		return err
	}
	defer client.Close()

	collection := client.Collection("users")
	query := collection.Where("born", ">", 1850)

	// `alias` argument--"all"--provides a key for accessing the aggregate query
	// results. The alias value must be unique across all aggregation aliases in
	// an aggregation query and must conform to allowed Document field names.
	//
	// See https://cloud.google.com/firestore/docs/reference/rpc/google.firestore.v1#document for details.
	aggregationQuery := query.NewAggregationQuery().WithCount("all")
	results, err := aggregationQuery.Get(ctx)
	if err != nil {
		return err
	}

	count, ok := results["all"]
	if !ok {
		return errors.New("firestore: couldn't get alias for COUNT from results")
	}

	countValue := count.(*firestorepb.Value)
	fmt.Fprintf(w, "Number of results from query: %d\n", countValue.GetIntegerValue())
	return nil
}
aggregate_query_count.go

Java

CollectionReference collection = db.collection("cities");
AggregateQuerySnapshot snapshot = collection.count().get().get();
System.out.println("Count: " + snapshot.getCount());
      

Node.js

const collectionRef = db.collection('cities');
const snapshot = await collectionRef.count().get();
console.log(snapshot.data().count);
      

Python

from google.cloud import firestore
from google.cloud.firestore_v1 import aggregation
from google.cloud.firestore_v1.base_query import FieldFilter


def create_count_query(project_id: str) -> None:
    """Builds an aggregate query that returns the number of results in the query.

    Arguments:
      project_id: your Google Cloud Project ID
    """
    client = firestore.Client(project=project_id)

    collection_ref = client.collection("users")
    query = collection_ref.where(filter=FieldFilter("born", ">", 1800))
    aggregate_query = aggregation.AggregationQuery(query)

    # `alias` to provides a key for accessing the aggregate query results
    aggregate_query.count(alias="all")

    results = aggregate_query.get()
    for result in results:
        print(f"Alias of results from query: {result[0].alias}")
        print(f"Number of results from query: {result[0].value}")

aggregate_query_count.py

Agregasi count() memperhitungkan semua filter pada kueri dan klausa limit.

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(db, "cities");
const q = query(coll, where("state", "==", "CA"));
const snapshot = await getCountFromServer(q);
console.log('count: ', snapshot.data().count);
count_aggregate_query.js

Swift

Catatan: Produk ini tidak tersedia di target watchOS dan App Clip.

let query = db.collection("cities").whereField("state", isEqualTo: "CA")
let countQuery = query.count
do {
  let snapshot = try await countQuery.getAggregation(source: .server)
  print(snapshot.count)
} catch {
  print(error)
}
ViewController.swift

Objective-C

Catatan: Produk ini tidak tersedia di target watchOS dan App Clip.

FIRQuery *query =
    [[self.db collectionWithPath:@"cities"]
                 queryWhereField:@"state"
                       isEqualTo:@"CA"];
[query.count aggregationWithSource:FIRAggregateSourceServer
                        completion:^(FIRAggregateQuerySnapshot *snapshot,
                                      NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching count: %@", error);
    } else {
        NSLog(@"Cities count: %@", snapshot.count);
    }
}];
ViewController.m

Java

Query query = db.collection("cities").whereEqualTo("state", "CA");
AggregateQuery countQuery = query.count();
countQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Count fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Count: " + snapshot.getCount());
        } else {
            Log.d(TAG, "Count failed: ", task.getException());
        }
    }
});
DocSnippets.java

Kotlin+KTX

val query = db.collection("cities").whereEqualTo("state", "CA")
val countQuery = query.count()
countQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Count fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Count: ${snapshot.count}")
    } else {
        Log.d(TAG, "Count failed: ", task.getException())
    }
}
DocSnippets.kt

Dart

// This also works with collectionGroup queries.
db.collection("users").where("age", isGreaterThan: 10).count().get().then(
      (res) => print(res.count),
      onError: (e) => print("Error completing: $e"),
    );
firestore.dart

Go

package firestore

import (
	"context"
	"errors"
	"fmt"
	"io"

	"cloud.google.com/go/firestore"
	firestorepb "cloud.google.com/go/firestore/apiv1/firestorepb"
)

func createCountQuery(w io.Writer, projectID string) error {

	// Instantiate the client
	ctx := context.Background()
	client, err := firestore.NewClient(ctx, projectID)
	if err != nil {
		return err
	}
	defer client.Close()

	collection := client.Collection("users")
	query := collection.Where("born", ">", 1850)

	// `alias` argument--"all"--provides a key for accessing the aggregate query
	// results. The alias value must be unique across all aggregation aliases in
	// an aggregation query and must conform to allowed Document field names.
	//
	// See https://cloud.google.com/firestore/docs/reference/rpc/google.firestore.v1#document for details.
	aggregationQuery := query.NewAggregationQuery().WithCount("all")
	results, err := aggregationQuery.Get(ctx)
	if err != nil {
		return err
	}

	count, ok := results["all"]
	if !ok {
		return errors.New("firestore: couldn't get alias for COUNT from results")
	}

	countValue := count.(*firestorepb.Value)
	fmt.Fprintf(w, "Number of results from query: %d\n", countValue.GetIntegerValue())
	return nil
}
aggregate_query_count.go

Java

CollectionReference collection = db.collection("cities");
Query query = collection.whereEqualTo("state", "CA");
AggregateQuerySnapshot snapshot = query.count().get().get();
System.out.println("Count: " + snapshot.getCount());
      

Node.js

const collectionRef = db.collection('cities');
const query = collectionRef.where('state', '==', 'CA');
const snapshot = await query.count().get();
console.log(snapshot.data().count);
      

Python

from google.cloud import firestore
from google.cloud.firestore_v1 import aggregation
from google.cloud.firestore_v1.base_query import FieldFilter


def create_count_query(project_id: str) -> None:
    """Builds an aggregate query that returns the number of results in the query.

    Arguments:
      project_id: your Google Cloud Project ID
    """
    client = firestore.Client(project=project_id)

    collection_ref = client.collection("users")
    query = collection_ref.where(filter=FieldFilter("born", ">", 1800))
    aggregate_query = aggregation.AggregationQuery(query)

    # `alias` to provides a key for accessing the aggregate query results
    aggregate_query.count(alias="all")

    results = aggregate_query.get()
    for result in results:
        print(f"Alias of results from query: {result[0].alias}")
        print(f"Number of results from query: {result[0].value}")

aggregate_query_count.py

Menggunakan agregasi sum()

Gunakan agregasi sum() untuk menampilkan jumlah total nilai numerik yang cocok dengan kueri tertentu—misalnya:

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(firestore, 'cities');
const snapshot = await getAggregateFromServer(coll, {
  totalPopulation: sum('population')
});

console.log('totalPopulation: ', snapshot.data().totalPopulation);
    

Java

collection = db.collection("cities");
snapshot = collection.aggregate(sum("population")).get().get();
System.out.println("Sum: " + snapshot.get(sum("population")));
  

Node.js

const coll = firestore.collection('cities');
const sumAggregateQuery = coll.aggregate({
         totalPopulation: AggregateField.sum('population'),
       });
  
const snapshot = await sumAggregateQuery.get();
console.log('totalPopulation: ', snapshot.data().totalPopulation);
      

Agregasi sum() memperhitungkan semua filter pada kueri dan klausa batas—misalnya:

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(firestore, 'cities');
const q = query(coll, where('capital', '==', true));
const snapshot = await getAggregateFromServer(q, {
  totalPopulation: sum('population')
});

console.log('totalPopulation: ', snapshot.data().totalPopulation);
      

Java

collection = db.collection("cities");
query = collection.whereEqualTo("state", "CA");
snapshot = query.aggregate(sum("population")).get().get();
System.out.println("Sum: " + snapshot.get(sum("population")));
  

Node.js

const coll = firestore.collection('cities');
const q = coll.where("capital", "==", true);
const sumAggregateQuery = q.aggregate({
        totalPopulation: AggregateField.sum('population'),
      });

const snapshot = await sumAggregateQuery.get();
console.log('totalPopulation: ', snapshot.data().totalPopulation);
      

Menggunakan agregasi average()

Gunakan agregasi average() untuk menampilkan rata-rata nilai numerik yang cocok dengan kueri tertentu—misalnya:

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(firestore, 'cities');
const snapshot = await getAggregateFromServer(coll, {
  averagePopulation: average('population')
});

console.log('averagePopulation: ', snapshot.data().averagePopulation);
    

Java

collection = db.collection("cities");
snapshot = collection.aggregate(average("population")).get().get();
System.out.println("Average: " + snapshot.get(average("population")));
  

Node.js

const coll = firestore.collection('cities');
const averageAggregateQuery = coll.aggregate({
        averagePopulation: AggregateField.average('population'),
      });

const snapshot = await averageAggregateQuery.get();
console.log('averagePopulation: ', snapshot.data().averagePopulation);
      

Agregasi average() memperhitungkan semua filter pada kueri dan klausa batas—misalnya:

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(firestore, 'cities');
const q = query(coll, where('capital', '==', true));
const snapshot = await getAggregateFromServer(q, {
  averagePopulation: average('population')
});

console.log('averagePopulation: ', snapshot.data().averagePopulation);
      

Java

collection = db.collection("cities");
query = collection.whereEqualTo("state", "CA");
snapshot = query.aggregate(average("population")).get().get();
System.out.println("Average: " + snapshot.get(average("population")));
  

Node.js

const coll = firestore.collection('cities');
const q = coll.where("capital", "==", true);
const averageAggregateQuery = q.aggregate({
        averagePopulation: AggregateField.average('population'),
      });

const snapshot = await averageAggregateQuery.get();
console.log('averagePopulation: ', snapshot.data().averagePopulation);
      

Menghitung beberapa agregasi dalam kueri

Anda dapat menggabungkan beberapa agregasi dalam satu pipeline agregasi. Hal ini dapat mengurangi jumlah pembacaan indeks yang diperlukan. Jika kueri menyertakan agregasi di beberapa kolom, kueri mungkin memerlukan indeks komposit. Dalam hal ini, Cloud Firestore menyarankan indeks.

Contoh berikut melakukan beberapa agregasi dalam satu kueri agregasi:

API modular web

Pelajari lebih lanjut SDK modular Web v9 yang dapat di-tree-shaking dan upgrade dari versi 8.

const coll = collection(firestore, 'cities');
const snapshot = await getAggregateFromServer(coll, {
  countOfDocs: count(),
  totalPopulation: sum('population'),
  averagePopulation: average('population')
});

console.log('countOfDocs: ', snapshot.data().countOfDocs);
console.log('totalPopulation: ', snapshot.data().totalPopulation);
console.log('averagePopulation: ', snapshot.data().averagePopulation);
      

Java

collection = db.collection("cities");
query = collection.whereEqualTo("state", "CA");
AggregateQuery aggregateQuery = query.aggregate(count(), sum("population"), average("population"));
snapshot = aggregateQuery.get().get();
System.out.println("Count: " + snapshot.getCount());
System.out.println("Sum: " + snapshot.get(sum("population")));
System.out.println("Average: " + snapshot.get(average("population")));
  

Node.js

const coll = firestore.collection('cities');
const aggregateQuery = coll.aggregate({
    countOfDocs: AggregateField.count(),
    totalPopulation: AggregateField.sum('population'),
    averagePopulation: AggregateField.average('population')
  });

const snapshot = await aggregateQuery.get();
console.log('countOfDocs: ', snapshot.data().countOfDocs);
console.log('totalPopulation: ', snapshot.data().totalPopulation);
console.log('averagePopulation: ', snapshot.data().averagePopulation);
      

Kueri dengan beberapa agregasi hanya akan menyertakan dokumen yang berisi semua kolom dalam setiap agregasi. Hal ini dapat memberikan hasil yang berbeda jika melakukan setiap agregasi secara terpisah.

Aturan keamanan untuk kueri agregasi

Aturan Keamanan Cloud Firestore berfungsi sama pada kueri agregasi seperti pada kueri yang menampilkan dokumen. Dengan kata lain, jika dan hanya jika aturan Anda mengizinkan klien untuk mengeksekusi kueri koleksi atau grup koleksi tertentu, klien juga dapat melakukan agregasi pada kueri tersebut. Pelajari lebih lanjut cara Aturan Keamanan Cloud Firestore berinteraksi dengan kueri.

Perilaku dan batasan

Saat Anda bekerja dengan kueri agregasi, perhatikan perilaku dan batasan berikut:

• Anda tidak dapat menggunakan kueri agregasi dengan pemroses real-time dan kueri offline. Kueri agregasi saat ini hanya didukung melalui respons server langsung. Kueri hanya ditayangkan oleh backend Cloud Firestore, serta melewati cache lokal dan update yang di buffer. Perilaku ini sama dengan operasi yang dilakukan di dalam transaksi Cloud Firestore.

• Jika agregasi tidak dapat diselesaikan dalam waktu 60 detik, error DEADLINE_EXCEEDED akan ditampilkan. Performa bergantung pada konfigurasi indeks Anda dan ukuran set data.

  Catatan: Sebagian besar kueri menskalakan berdasarkan ukuran kumpulan hasil, bukan set data. Namun, skala kueri agregasi didasarkan pada ukuran set data dan jumlah entri indeks yang dipindai.

  Jika operasi tidak dapat diselesaikan dalam batas waktu 60 detik, solusi yang memungkinkan adalah menggunakan penghitung untuk set data besar.

• Kueri agregasi yang dibaca dari entri indeks dan hanya menyertakan kolom terindeks.

• Menambahkan klausa OrderBy ke kueri agregasi akan membatasi agregasi pada dokumen tempat kolom pengurutan berada.

• Untuk agregasi sum() dan average(), nilai non-numerik akan diabaikan. Agregasi sum() dan average() hanya memperhitungkan nilai bilangan bulat dan nilai angka floating point.

• Saat menggabungkan beberapa agregasi dalam satu kueri, perhatikan bahwa sum() dan average() mengabaikan nilai non-numerik, sedangkan count() menyertakan nilai non-numerik.

• Jika Anda menggabungkan agregasi yang berada di kolom berbeda, penghitungan hanya akan menyertakan dokumen yang berisi semua kolom tersebut.

Harga

Harga untuk kueri agregasi bergantung pada jumlah entri indeks yang cocok dengan kueri. Anda akan dikenai biaya dalam jumlah kecil untuk pembacaan dalam jumlah yang sesuai.

Lihat informasi harga yang lebih mendetail.