Résumer des données avec des requêtes d'agrégation
Une requête d'agrégation traite les données de plusieurs entrées d'index pour renvoyer une valeur récapitulative unique.
Firestore est compatible avec les requêtes d'agrégation suivantes :
count()
sum()
average()
Firestore calcule l'agrégation et ne transmet que le résultat à votre application. Par rapport à l'exécution d'une requête complète et au calcul de l'agrégation dans votre application, les requêtes d'agrégation permettent de réduire à la fois le nombre de lectures de documents facturées et les octets transférés.
Les requêtes d'agrégation reposent sur la configuration d'index existante que vos requêtes utilisent déjà, et s'adaptent proportionnellement au nombre d'index entrées analysées. La latence augmente avec le nombre d'éléments dans l'agrégation.
Utiliser l'agrégation count()
La requête d'agrégation count()
vous permet de déterminer le nombre de documents dans une collection ou une requête.
Pour en savoir plus sur les exemples de données, consultez Obtenir des données.
L'agrégation count()
suivante renvoie le nombre total de villes dans la collection cities
.
Version Web 9
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
Android
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
Android
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
L'agrégation count()
prend en compte tous les filtres de la requête et tous les
limit
.
Version Web 9
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
Android
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
Android
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
Utiliser l'agrégation sum()
Utilisez l'agrégation sum()
pour renvoyer la somme totale des valeurs numériques
correspondent à une requête donnée, par exemple:
Version Web 9
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
Android
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
Android
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()) } }
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 }
L'agrégation sum()
tient compte de tous les filtres appliqués à la requête et de toutes les clauses de limite, par exemple :
Version Web 9
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
Android
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
Android
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()) } }
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 }
Utiliser l'agrégation average()
Utilisez l'agrégation average()
pour renvoyer la moyenne des valeurs numériques correspondant à une requête donnée, par exemple :
Version Web 9
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
Android
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
Android
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()) } }
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 }
L'agrégation average()
tient compte de tous les filtres appliqués à la requête et de toute limite
. Par exemple:
Version Web 9
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
Android
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
Android
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()) } }
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 }
Calculer plusieurs agrégations dans une requête
Vous pouvez combiner plusieurs agrégations dans un même pipeline d'agrégation. Cela peut de réduire le nombre de lectures d'index requises. Si la requête inclut des agrégations sur plusieurs champs, elle peut nécessiter un indice composite. Dans ce cas, Firestore suggère un index.
L'exemple suivant effectue plusieurs agrégations dans une seule requête d'agrégation:
Version Web 9
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
Android
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
Android
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()) } }
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 } }
Les requêtes comportant plusieurs agrégations n'incluent que les documents contenant tous les champs de chaque agrégation. Cela peut entraîner des résultats différents de en effectuant chaque agrégation séparément.
Règles de sécurité pour les requêtes d'agrégation
Les règles de sécurité Firestore fonctionnent de la même manière pour les requêtes d'agrégation qui renvoient des documents. En d'autres termes, si et seulement si vos règles autorisent les clients à exécuter certaines requêtes de collection ou de groupe de collections, les clients peuvent également effectuer l'agrégation sur ces requêtes. En savoir plus sur comment les règles de sécurité Firestore interagissent avec les requêtes.
Comportement et limites
Lorsque vous travaillez avec des requêtes d'agrégation, tenez compte des comportements et des limites suivants :
Vous ne pouvez pas utiliser de requêtes d'agrégation avec des écouteurs en temps réel et des requêtes hors connexion. Les requêtes d'agrégation ne sont acceptées que via un serveur direct de réponse. Les requêtes ne sont diffusées que par le backend Firestore, ce qui ignore le cache local et les mises à jour mises en mémoire tampon. Ce comportement est identique aux opérations effectuées dans les transactions Firestore.
Si une agrégation ne peut pas se résoudre dans les 60 secondes, une
DEADLINE_EXCEEDED
erreur. Les performances dépendent de la configuration de votre index et sur la taille de l'ensemble de données.Si l'opération ne peut pas être terminée dans le délai de 60 secondes, vous pouvez utiliser des compteurs pour les grands ensembles de données.
Les requêtes d'agrégation lisent les entrées d'index et n'incluent que les requêtes indexées .
Ajouter une clause
OrderBy
à une requête d'agrégation limite l'agrégation aux documents où le champ de tri existe.Pour les agrégations
sum()
etaverage()
, les valeurs non numériques sont ignorées. Les agrégationssum()
etaverage()
ne tiennent compte que des valeurs entières et des valeurs à virgule flottante.Lorsque vous combinez plusieurs agrégations dans une seule requête, notez que
sum()
etaverage()
ignore les valeurs non numériques, tandis quecount()
inclut des valeurs non numériques.Si vous combinez des agrégations sur différents champs, le calcul n'inclut que les documents qui contiennent tous ces champs.
Tarifs
La tarification des requêtes d'agrégation dépend du nombre d'entrées d'index les correspondances de requête. Un petit nombre de lectures vous est facturé les entrées correspondantes. Une opération de lecture vous est facturée pour chaque lot de 1 000 entrées d'index lues.
Pour en savoir plus sur la tarification des requêtes d'agrégation, consultez la section Requêtes d'agrégation.
Étape suivante
- Découvrez comment interroger et filtrer les données.
- Enregistrer les lectures lorsque vous souhaitez uniquement compter les résultats