Toplama sorgularıyla verileri özetleme

Toplama sorgusu, tek bir özet değeri döndürmek için birden fazla dizin girişindeki verileri işler.

Cloud Firestore aşağıdaki toplama sorgularını destekler:

  • count()
  • sum()
  • average()

Cloud Firestore toplamayı hesaplar ve yalnızca sonucu uygulamanıza iletir. Toplama sorguları, tam bir sorgu yürütüp uygulamanızda toplamayı hesaplamaya kıyasla hem faturalandırılan belge okumalarında hem de aktarılan baytlarda tasarruf sağlar.

Toplama sorguları, sorgularınızın halihazırda kullandığı mevcut dizin yapılandırmasını kullanır ve taranan dizin girişlerinin sayısına göre ölçeklendirilir. Gecikme, toplamadaki öğe sayısıyla birlikte artar.

count() toplama işlevini kullanma

count() toplama sorgusu, bir koleksiyondaki veya sorgudaki doküman sayısını belirlemenize olanak tanır.

Örnek veriler hakkında daha fazla bilgi için Veri alma başlıklı makaleyi inceleyin.

Aşağıdaki count() toplama işlemi, cities koleksiyonundaki toplam şehir sayısını döndürür.

Web

const coll = collection(db, "cities");
const snapshot = await getCountFromServer(coll);
console.log('count: ', snapshot.data().count);
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
let query = db.collection("cities")
let countQuery = query.count
do {
  let snapshot = try await countQuery.getAggregation(source: .server)
  print(snapshot.count)
} catch {
  print(error)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
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);
    }
}];

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());
        }
    }
});

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())
    }
}

Dart

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

count() toplama işlemi, sorgudaki tüm filtreleri ve limit yan tümcelerini dikkate alır.

Web

const coll = collection(db, "cities");
const q = query(coll, where("state", "==", "CA"));
const snapshot = await getCountFromServer(q);
console.log('count: ', snapshot.data().count);
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
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)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
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);
    }
}];

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());
        }
    }
});

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())
    }
}

Dart

// This also works with collection queries.
db.collection("cities").where("capital", isEqualTo: 10).count().get().then(
      (res) => print(res.count),
      onError: (e) => print("Error completing: $e"),
    );
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
}
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}")

sum() toplama işlevini kullanma

Belirli bir sorguyla eşleşen sayısal değerlerin toplamını döndürmek için sum() toplama işlevini kullanın. Örneğin:

Web

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

console.log('totalPopulation: ', snapshot.data().totalPopulation);
    
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
let query = db.collection("cities")
let aggregateQuery = query.aggregate([AggregateField.sum("population")])
do {
  let snapshot = try await aggregateQuery.getAggregation(source: .server)
  print(snapshot.get(AggregateField.sum("population")))
} catch {
  print(error)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
FIRQuery *query = [self.db collectionWithPath:@"cities"];
FIRAggregateQuery *aggregateQuery = [query aggregate:@[
    [FIRAggregateField aggregateFieldForSumOfField:@"population"]]];
[aggregateQuery aggregationWithSource:FIRAggregateSourceServer
                           completion:^(FIRAggregateQuerySnapshot *snapshot,
                                        NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching aggregate: %@", error);
    } else {
        NSLog(@"Sum: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForSumOfField:@"population"]]);
    }
}];

Java

Query query = db.collection("cities");
AggregateQuery aggregateQuery = query.aggregate(AggregateField.sum("population"));
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Aggregate fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Sum: " + snapshot.get(AggregateField.sum("population")));
        } else {
            Log.d(TAG, "Aggregation failed: ", task.getException());
        }
    }
});

Kotlin+KTX

val query = db.collection("cities")
val aggregateQuery = query.aggregate(AggregateField.sum("population"))
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Aggregate fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Sum: ${snapshot.get(AggregateField.sum("population"))}")
    } else {
        Log.d(TAG, "Aggregate failed: ", task.getException())
    }
}

Dart

db.collection("cities").aggregate(sum("population")).get().then(
      (res) => print(res.getAverage("population")),
      onError: (e) => print("Error completing: $e"),
    );
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);
      
Python
collection_ref = client.collection("users")
aggregate_query = aggregation.AggregationQuery(collection_ref)

aggregate_query.sum("coins", alias="sum")

results = aggregate_query.get()
for result in results:
    print(f"Alias of results from query: {result[0].alias}")
    print(f"Sum of results from query: {result[0].value}")
      
Go
func createSumQuery(w io.Writer, projectID string) error {
  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)

  aggregationQuery := query.NewAggregationQuery().WithSum("coins", "sum_coins")
  results, err := aggregationQuery.Get(ctx)
  if err != nil {
    return err
  }

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

  sumValue := sum.(*firestorepb.Value)
  fmt.Fprintf(w, "Sum of results from query: %d\n", sumValue.GetIntegerValue())
  return nil
}
      

sum() toplama işlemi, sorgudaki tüm filtreleri ve sınırlama yan tümcelerini dikkate alır. Örneğin:

Web

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);
      
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
let query = db.collection("cities").whereField("capital", isEqualTo: true)
let aggregateQuery = query.aggregate([AggregateField.sum("population")])
do {
  let snapshot = try await aggregateQuery.getAggregation(source: .server)
  print(snapshot.get(AggregateField.sum("population")))
} catch {
  print(error)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
FIRQuery *query = [[self.db collectionWithPath:@"cities"]
                   queryWhereFilter:[FIRFilter filterWhereField:@"capital" isEqualTo:@YES]];
FIRAggregateQuery *aggregateQuery = [query aggregate:@[
    [FIRAggregateField aggregateFieldForSumOfField:@"population"]]];
[aggregateQuery aggregationWithSource:FIRAggregateSourceServer
                           completion:^(FIRAggregateQuerySnapshot *snapshot,
                                        NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching aggregate: %@", error);
    } else {
        NSLog(@"Sum: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForSumOfField:@"population"]]);
    }
}];

Java

Query query = db.collection("cities").whereEqualTo("capital", true);
AggregateQuery aggregateQuery = query.aggregate(AggregateField.sum("population"));
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Aggregate fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Sum: " + snapshot.get(AggregateField.sum("population")));
        } else {
            Log.d(TAG, "Aggregation failed: ", task.getException());
        }
    }
});

Kotlin+KTX

val query = db.collection("cities").whereEqualTo("capital", true)
val aggregateQuery = query.aggregate(AggregateField.sum("population"))
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Aggregate fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Sum: ${snapshot.get(AggregateField.sum("population"))}")
    } else {
        Log.d(TAG, "Aggregate failed: ", task.getException())
    }
}

Dart

db
    .collection("cities")
    .where("capital", isEqualTo: true)
    .aggregate(sum("population"))
    .get()
    .then(
      (res) => print(res.getAverage("population")),
      onError: (e) => print("Error completing: $e"),
    );
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);
      
Python
collection_ref = client.collection("users")
query = collection_ref.where(filter=FieldFilter("people", "==", "Matthew"))
aggregate_query = aggregation.AggregationQuery(query)

aggregate_query.sum("coins", alias="sum")

results = aggregate_query.get()
for result in results:
    print(f"Alias of results from query: {result[0].alias}")
    print(f"Sum of results from query: {result[0].value}")
      
Go
func createSumQuery(w io.Writer, projectID string) error {
  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).Limit(5)

  aggregationQuery := query.NewAggregationQuery().WithSum("coins", "sum_coins")
  results, err := aggregationQuery.Get(ctx)
  if err != nil {
    return err
  }

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

  sumValue := sum.(*firestorepb.Value)
  fmt.Fprintf(w, "Sum of results from query: %d\n", sumValue.GetIntegerValue())
  return nil
}
      

average() toplama işlevini kullanma

Belirli bir sorguyla eşleşen sayısal değerlerin ortalamasını döndürmek için average() toplama işlevini kullanın. Örneğin:

Web

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

console.log('averagePopulation: ', snapshot.data().averagePopulation);
    
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
let query = db.collection("cities")
let aggregateQuery = query.aggregate([AggregateField.average("population")])
do {
  let snapshot = try await aggregateQuery.getAggregation(source: .server)
  print(snapshot.get(AggregateField.average("population")))
} catch {
  print(error)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
FIRQuery *query = [self.db collectionWithPath:@"cities"];
FIRAggregateQuery *aggregateQuery = [query aggregate:@[
    [FIRAggregateField aggregateFieldForAverageOfField:@"population"]]];
[aggregateQuery aggregationWithSource:FIRAggregateSourceServer
                           completion:^(FIRAggregateQuerySnapshot *snapshot,
                                        NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching aggregate: %@", error);
    } else {
        NSLog(@"Avg: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForAverageOfField:@"population"]]);
    }
}];

Java

Query query = db.collection("cities");
AggregateQuery aggregateQuery = query.aggregate(AggregateField.average("population"));
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Aggregate fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Average: " + snapshot.get(AggregateField.average("population")));
        } else {
            Log.d(TAG, "Aggregation failed: ", task.getException());
        }
    }
});

Kotlin+KTX

val query = db.collection("cities")
val aggregateQuery = query.aggregate(AggregateField.average("population"))
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Aggregate fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Average: ${snapshot.get(AggregateField.average("population"))}")
    } else {
        Log.d(TAG, "Aggregate failed: ", task.getException())
    }
}

Dart

db.collection("cities").aggregate(average("population")).get().then(
      (res) => print(res.getAverage("population")),
      onError: (e) => print("Error completing: $e"),
    );
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);
      
Python
collection_ref = client.collection("users")
aggregate_query = aggregation.AggregationQuery(collection_ref)

aggregate_query.avg("coins", alias="avg")

results = aggregate_query.get()
for result in results:
    print(f"Alias of results from query: {result[0].alias}")
    print(f"Average of results from query: {result[0].value}")
      
Go
func createAvgQuery(w io.Writer, projectID string) error {
  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)

  aggregationQuery := query.NewAggregationQuery().WithAvg("coins", "avg_coins")
  results, err := aggregationQuery.Get(ctx)
  if err != nil {
    return err
  }

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

  avgValue := avg.(*firestorepb.Value)
  fmt.Fprintf(w, "Avg of results from query: %d\n", avgValue.GetDoubleValue())
  return nil
}
      

average() toplama işlemi, sorgudaki tüm filtreleri ve sınırlama yan tümcelerini dikkate alır. Örneğin:

Web

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);
      
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
let query = db.collection("cities").whereField("capital", isEqualTo: true)
let aggregateQuery = query.aggregate([AggregateField.average("population")])
do {
  let snapshot = try await aggregateQuery.getAggregation(source: .server)
  print(snapshot.get(AggregateField.average("population")))
} catch {
  print(error)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
FIRQuery *query = [[self.db collectionWithPath:@"cities"]
                   queryWhereFilter:[FIRFilter filterWhereField:@"capital" isEqualTo:@YES]];
FIRAggregateQuery *aggregateQuery = [query aggregate:@[
    [FIRAggregateField aggregateFieldForAverageOfField:@"population"]]];
[aggregateQuery aggregationWithSource:FIRAggregateSourceServer
                           completion:^(FIRAggregateQuerySnapshot *snapshot,
                                        NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching aggregate: %@", error);
    } else {
        NSLog(@"Avg: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForAverageOfField:@"population"]]);
    }
}];

Java

Query query = db.collection("cities").whereEqualTo("capital", true);
AggregateQuery aggregateQuery = query.aggregate(AggregateField.average("population"));
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Aggregate fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Average: " + snapshot.get(AggregateField.average("population")));
        } else {
            Log.d(TAG, "Aggregation failed: ", task.getException());
        }
    }
});

Kotlin+KTX

val query = db.collection("cities").whereEqualTo("capital", true)
val aggregateQuery = query.aggregate(AggregateField.average("population"))
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Aggregate fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Average: ${snapshot.get(AggregateField.average("population"))}")
    } else {
        Log.d(TAG, "Aggregate failed: ", task.getException())
    }
}

Dart

db
    .collection("cities")
    .where("capital", isEqualTo: true)
    .aggregate(average("population"))
    .get()
    .then(
      (res) => print(res.getAverage("population")),
      onError: (e) => print("Error completing: $e"),
    );
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);
      
Python
collection_ref = client.collection("users")
query = collection_ref.where(filter=FieldFilter("people", "==", "Matthew"))
aggregate_query = aggregation.AggregationQuery(query)

aggregate_query.avg("coins", alias="avg")

results = aggregate_query.get()
for result in results:
    print(f"Alias of results from query: {result[0].alias}")
    print(f"Average of results from query: {result[0].value}")
      
Go
func createAvgQuery(w io.Writer, projectID string) error {
  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).Limit(5)

  aggregationQuery := query.NewAggregationQuery().WithAvg("coins", "avg_coins")
  results, err := aggregationQuery.Get(ctx)
  if err != nil {
    return err
  }

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

  avgValue := avg.(*firestorepb.Value)
  fmt.Fprintf(w, "Avg of results from query: %d\n", avgValue.GetDoubleValue())
  return nil
}
      

Sorguda birden fazla toplama işlemini hesaplama

Birden fazla toplama işlemini tek bir toplama ardışık düzeninde birleştirebilirsiniz. Bu, gerekli dizin okuma sayısını azaltabilir. Sorgu birden fazla alanda toplama içeriyorsa sorgu için birleşik dizin gerekebilir. Bu durumda, Cloud Firestore bir dizin önerir.

Aşağıdaki örnekte, tek bir toplama sorgusunda birden fazla toplama işlemi gerçekleştirilmektedir:

Web

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);
      
Swift
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
let query = db.collection("cities")
let aggregateQuery = query.aggregate([
  AggregateField.count(),
  AggregateField.sum("population"),
  AggregateField.average("population")])
do {
  let snapshot = try await aggregateQuery.getAggregation(source: .server)
  print("Count: \(snapshot.get(AggregateField.count()))")
  print("Sum: \(snapshot.get(AggregateField.sum("population")))")
  print("Average: \(snapshot.get(AggregateField.average("population")))")
} catch {
  print(error)
}
Objective-C
Not: Bu ürün, watchOS ve App Clip hedeflerinde kullanılamaz.
FIRQuery *query = [self.db collectionWithPath:@"cities"];
FIRAggregateQuery *aggregateQuery = [query aggregate:@[
    [FIRAggregateField aggregateFieldForCount],
    [FIRAggregateField aggregateFieldForSumOfField:@"population"],
    [FIRAggregateField aggregateFieldForAverageOfField:@"population"]]];
[aggregateQuery aggregationWithSource:FIRAggregateSourceServer
                           completion:^(FIRAggregateQuerySnapshot *snapshot,
                                        NSError *error) {
    if (error != nil) {
        NSLog(@"Error fetching aggregate: %@", error);
    } else {
        NSLog(@"Count: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForCount]]);
        NSLog(@"Sum: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForSumOfField:@"population"]]);
        NSLog(@"Avg: %@", [snapshot valueForAggregateField:[FIRAggregateField aggregateFieldForAverageOfField:@"population"]]);
    }
}];

Java

Query query = db.collection("cities");
AggregateQuery aggregateQuery = query.aggregate(
        AggregateField.count(),
        AggregateField.sum("population"),
        AggregateField.average("population"));
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener(new OnCompleteListener<AggregateQuerySnapshot>() {
    @Override
    public void onComplete(@NonNull Task<AggregateQuerySnapshot> task) {
        if (task.isSuccessful()) {
            // Aggregate fetched successfully
            AggregateQuerySnapshot snapshot = task.getResult();
            Log.d(TAG, "Count: " + snapshot.get(AggregateField.count()));
            Log.d(TAG, "Sum: " + snapshot.get(AggregateField.sum("population")));
            Log.d(TAG, "Average: " + snapshot.get(AggregateField.average("population")));
        } else {
            Log.d(TAG, "Aggregation failed: ", task.getException());
        }
    }
});

Kotlin+KTX

val query = db.collection("cities")
val aggregateQuery = query.aggregate(
    AggregateField.count(),
    AggregateField.sum("population"),
    AggregateField.average("population")
)
aggregateQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        // Aggregate fetched successfully
        val snapshot = task.result
        Log.d(TAG, "Count: ${snapshot.get(AggregateField.count())}")
        Log.d(TAG, "Sum: ${snapshot.get(AggregateField.sum("population"))}")
        Log.d(TAG, "Average: ${snapshot.get(AggregateField.average("population"))}")
    } else {
        Log.d(TAG, "Aggregate failed: ", task.getException())
    }
}

Dart

db
    .collection("cities")
    .aggregate(
      count(),
      sum("population"),
      average("population"),
    )
    .get()
    .then(
  (res) {
    print(res.count);
    print(res.getSum("population"));
    print(res.getAverage("population"));
  },
  onError: (e) => print("Error completing: $e"),
);
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);
      
Python
collection_ref = client.collection("users")
query = collection_ref.where(filter=FieldFilter("people", "==", "Matthew"))
aggregate_query = aggregation.AggregationQuery(query)

aggregate_query.sum("coins", alias="sum").avg("coins", alias="avg")

results = aggregate_query.get()
for result in results:
    print(f"Alias of results from query: {result[0].alias}")
    print(f"Aggregation of results from query: {result[0].value}")
      
Go
func createMultiAggregationQuery(w io.Writer, projectID string) error {
  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)

  aggregationQuery := query.NewAggregationQuery().WithCount("count").WithSum("coins", "sum_coins").WithAvg("coins", "avg_coins")
  results, err := aggregationQuery.Get(ctx)
  if err != nil {
    return err
  }
}
      

Birden fazla toplama içeren sorgular yalnızca her toplamadaki tüm alanları içeren dokümanları içerir. Bu, her toplamayı ayrı ayrı gerçekleştirmekten farklı sonuçlara yol açabilir.

Toplama sorguları için güvenlik kuralları

Cloud Firestore Security Rules, toplama sorgularında doküman döndüren sorgularla aynı şekilde çalışır. Diğer bir deyişle, istemciler yalnızca kurallarınız belirli koleksiyon veya koleksiyon grubu sorgularını yürütmelerine izin veriyorsa bu sorgularda toplama işlemini de gerçekleştirebilir. Cloud Firestore Security Rules'un sorgularla nasıl etkileşimde bulunduğu hakkında daha fazla bilgi edinin.

Davranış ve sınırlamalar

Toplama sorgularıyla çalışırken aşağıdaki davranış ve sınırlamalara dikkat edin:

  • Toplama sorgularını gerçek zamanlı dinleyiciler ve çevrimdışı sorgularla kullanamazsınız. Toplama sorguları yalnızca doğrudan sunucu yanıtı üzerinden desteklenir. Sorgular yalnızca Cloud Firestore arka ucu tarafından sunulur, yerel önbellek ve arabelleğe alınan güncellemeler atlanır. Bu davranış, Cloud Firestore işlemlerinde gerçekleştirilen işlemlerle aynıdır.

  • Bir toplama işlemi 60 saniye içinde çözülemezse DEADLINE_EXCEEDED hatası döndürülür. Performans, dizin yapılandırmanıza ve veri kümesinin boyutuna bağlıdır.

    İşlem 60 saniyelik son tarih içinde tamamlanamazsa büyük veri kümeleri için sayaçlar kullanmak olası bir geçici çözümdür.

  • Toplama sorguları, dizin girişlerinden okunur ve yalnızca dizine eklenen alanları içerir.

  • Bir toplama sorgusuna OrderBy yan tümcesi eklemek, toplamayı sıralama alanının bulunduğu belgelerle sınırlandırır.

  • sum() ve average() toplamalarında sayısal olmayan değerler yoksayılır. sum() ve average() toplamaları yalnızca tam sayı ve kayan noktalı sayı değerlerini dikkate alır.

  • Tek bir sorguda birden fazla toplama işlemini birleştirirken sum() ve average()'ün sayısal olmayan değerleri yoksaydığını, count()'nin ise sayısal olmayan değerleri içerdiğini unutmayın.

  • Farklı alanlarda bulunan toplama işlemlerini birleştirirseniz hesaplama yalnızca tüm bu alanları içeren dokümanları içerir.

Fiyatlandırma

Toplama sorgularının fiyatı, sorgunun eşleştiği dizin girişlerinin sayısına bağlıdır. Çok sayıda eşleşen giriş için az sayıda okuma ücreti ödersiniz. Okunan 1.000'e kadar dizin girişi içeren her toplu iş için bir okuma işlemi ücreti alınır.

Toplama sorgularının fiyatlandırması hakkında daha fazla bilgi için Toplama sorguları başlıklı makaleyi inceleyin.