Zapytanie agregacji przetwarza dane z wielu wpisów indeksu, aby zwrócić jedną wartość podsumowującą.
Cloud Firestore obsługuje te zapytania agregacji:
count()
sum()
average()
Cloud Firestore oblicza agregację i przesyła tylko wynik do aplikacji. W porównaniu z wykonywaniem pełnego zapytania i obliczeniem agregacji w aplikacji zapytania zbiorcze pozwalają zaoszczędzić zarówno na opłatach za odczyt dokumentów, jak i na przesyłanych bajtach.
Zapytania agregacyjne korzystają z dotychczasowej konfiguracji indeksu, której używają Twoje zapytania, i skalują się proporcjonalnie do liczby skanowanych wpisów indeksu. Czas oczekiwania wydłuża się wraz z liczbą elementów w zbiorczym.
Użyj agregacji count()
Zapytanie agregacyjne count()
pozwala określić liczbę dokumentów w kolekcji lub zapytaniu.
Więcej informacji o przykładowych danych znajdziesz w artykule Pozyskiwanie danych.
Zbiór danych count()
zwraca łączną liczbę miast w zbiorze cities
.
Web
const coll = collection(db, "cities"); const snapshot = await getCountFromServer(coll); console.log('count: ', snapshot.data().count);
Swift
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
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
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
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
Kwota count()
uwzględnia wszystkie filtry zapytania i wszystkie klauzule limit
.
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
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
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
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
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
Użyj agregacji sum()
Aby zwrócić łączną sumę wartości liczbowych, które pasują do danego zapytania, użyj funkcji agregacji sum()
, np.:
Web
const coll = collection(firestore, 'cities'); const snapshot = await getAggregateFromServer(coll, { totalPopulation: sum('population') }); console.log('totalPopulation: ', snapshot.data().totalPopulation);
Swift
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
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
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 }
Agregacja sum()
uwzględnia wszystkie filtry zapytania i klauzule limitu, np.:
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
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
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
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 }
Użyj agregacji average()
Aby zwrócić średnią wartości liczbowych, które pasują do danego zapytania, użyj funkcji agregacji average()
, np.:
Web
const coll = collection(firestore, 'cities'); const snapshot = await getAggregateFromServer(coll, { averagePopulation: average('population') }); console.log('averagePopulation: ', snapshot.data().averagePopulation);
Swift
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
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
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 }
Agregacja average()
uwzględnia wszystkie filtry zapytania i klauzule ograniczeń, np.:
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
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
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
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 }
Obliczanie wielu agregacji w zapytaniu
W jednym procesie agregacji możesz połączyć kilka agregacji. Może to zmniejszyć liczbę wymaganych odczytów indeksu. Jeśli zapytanie zawiera agregacje na wielu polach, może wymagać indeksu złożonego. W takim przypadku Cloud Firestore sugeruje indeks.
W tym przykładzie w jednym zapytaniu agregacji wykonywane są liczne agregacje:
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
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
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
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 } }
Zapytania z kilkoma agregacjami obejmują tylko dokumenty zawierające wszystkie pola w każdej agregacji. Może to spowodować rozbieżności w wynikach w porównaniu z wykonywaniem poszczególnych agregacji osobno.
Reguły zabezpieczeń dotyczące zapytań agregacji
Cloud Firestore Security Rules działają w zapytaniach z agregacją tak samo jak w zapytaniach zwracających dokumenty. Innymi słowy, jeśli i tylko jeśli Twoje reguły zezwalają klientom na wykonywanie określonych zapytań dotyczących kolekcji lub grupy kolekcji, klienci mogą też wykonywać na tych zapytaniach agregację. Dowiedz się więcej o interakcji Cloud Firestore Security Rules z zapytaniami.
Działanie i ograniczenia
Podczas pracy z zapytaniami agregacyjnymi należy pamiętać o tych zachowaniach i ograniczeniach:
Nie możesz używać zapytań agregacji z odbiorcami w czasie rzeczywistym ani zapytaniami offline. Zapytania agregacyjne są obsługiwane tylko przez bezpośrednią odpowiedź serwera. Zapytania są obsługiwane tylko przez backend Cloud Firestore, pomijając lokalną pamięć podręczną i wszelkie buforowane aktualizacje. Takie zachowanie jest identyczne z operacjami wykonywanymi w ramach Cloud Firestoretransakcji.
Jeśli agregacja nie może zostać przetworzona w ciągu 60 sekund, zwraca błąd
DEADLINE_EXCEEDED
. Wydajność zależy od konfiguracji indeksu i od rozmiaru zbioru danych.Jeśli operacja nie może zostać ukończona w ciągu 60 sekund, możesz użyć liczników w przypadku dużych zbiorów danych.
Zapytania zbiorcze odczytują wpisy z indeksu i obejmują tylko zindywidualizowane pola.
Dodanie do zapytania zbiorczego klauzuli
OrderBy
ogranicza agregację do dokumentów, w których występuje pole sortowania.W przypadku agregacji
sum()
iaverage()
wartości nieliczbowe są ignorowane. Agregacjesum()
iaverage()
uwzględniają tylko wartości liczb całkowitych i wartości liczb zmiennoprzecinkowych.Podczas łączenia w jednym zapytaniu wielu agregacji pamiętaj, że funkcje
sum()
iaverage()
ignorują wartości nienumeryczne, a funkcjacount()
uwzględnia wartości nienumeryczne.Jeśli połączysz agregacje z różnych pól, obliczenia obejmą tylko dokumenty zawierające wszystkie te pola.
Ceny
Ceny zapytań agregacji zależą od liczby rekordów indeksu, które pasują do zapytania. Opłaty są naliczane za niewielką liczbę odczytów w przypadku dużej liczby dopasowanych wpisów. Opłaty są naliczane za 1 operację odczytu dla każdej grupy maksymalnie 1000 odczytanych wpisów indeksu.
Więcej informacji o cenach za zapytania o zbiorcze znajdziesz w artykule Zapytania o zbiorcze.