Cloud Firestore fornisce potenti funzionalità di query per specificare i documenti che vuoi recuperare da una raccolta o da un gruppo di raccolte. Queste query possono essere utilizzate anche con get()
o addSnapshotListener()
, come descritto in Ottenere i dati e Ottenere aggiornamenti in tempo reale.
Dati di esempio
Per iniziare, scrivi alcuni dati sulle città in modo da poter esaminare diversi modi per recuperarli:
Web
import { collection, doc, setDoc } from "firebase/firestore"; const citiesRef = collection(db, "cities"); await setDoc(doc(citiesRef, "SF"), { name: "San Francisco", state: "CA", country: "USA", capital: false, population: 860000, regions: ["west_coast", "norcal"] }); await setDoc(doc(citiesRef, "LA"), { name: "Los Angeles", state: "CA", country: "USA", capital: false, population: 3900000, regions: ["west_coast", "socal"] }); await setDoc(doc(citiesRef, "DC"), { name: "Washington, D.C.", state: null, country: "USA", capital: true, population: 680000, regions: ["east_coast"] }); await setDoc(doc(citiesRef, "TOK"), { name: "Tokyo", state: null, country: "Japan", capital: true, population: 9000000, regions: ["kanto", "honshu"] }); await setDoc(doc(citiesRef, "BJ"), { name: "Beijing", state: null, country: "China", capital: true, population: 21500000, regions: ["jingjinji", "hebei"] });
Web
var citiesRef = db.collection("cities"); citiesRef.doc("SF").set({ name: "San Francisco", state: "CA", country: "USA", capital: false, population: 860000, regions: ["west_coast", "norcal"] }); citiesRef.doc("LA").set({ name: "Los Angeles", state: "CA", country: "USA", capital: false, population: 3900000, regions: ["west_coast", "socal"] }); citiesRef.doc("DC").set({ name: "Washington, D.C.", state: null, country: "USA", capital: true, population: 680000, regions: ["east_coast"] }); citiesRef.doc("TOK").set({ name: "Tokyo", state: null, country: "Japan", capital: true, population: 9000000, regions: ["kanto", "honshu"] }); citiesRef.doc("BJ").set({ name: "Beijing", state: null, country: "China", capital: true, population: 21500000, regions: ["jingjinji", "hebei"] });
Swift
let citiesRef = db.collection("cities") citiesRef.document("SF").setData([ "name": "San Francisco", "state": "CA", "country": "USA", "capital": false, "population": 860000, "regions": ["west_coast", "norcal"] ]) citiesRef.document("LA").setData([ "name": "Los Angeles", "state": "CA", "country": "USA", "capital": false, "population": 3900000, "regions": ["west_coast", "socal"] ]) citiesRef.document("DC").setData([ "name": "Washington D.C.", "country": "USA", "capital": true, "population": 680000, "regions": ["east_coast"] ]) citiesRef.document("TOK").setData([ "name": "Tokyo", "country": "Japan", "capital": true, "population": 9000000, "regions": ["kanto", "honshu"] ]) citiesRef.document("BJ").setData([ "name": "Beijing", "country": "China", "capital": true, "population": 21500000, "regions": ["jingjinji", "hebei"] ])
Objective-C
FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"]; [[citiesRef documentWithPath:@"SF"] setData:@{ @"name": @"San Francisco", @"state": @"CA", @"country": @"USA", @"capital": @(NO), @"population": @860000, @"regions": @[@"west_coast", @"norcal"] }]; [[citiesRef documentWithPath:@"LA"] setData:@{ @"name": @"Los Angeles", @"state": @"CA", @"country": @"USA", @"capital": @(NO), @"population": @3900000, @"regions": @[@"west_coast", @"socal"] }]; [[citiesRef documentWithPath:@"DC"] setData:@{ @"name": @"Washington D.C.", @"country": @"USA", @"capital": @(YES), @"population": @680000, @"regions": @[@"east_coast"] }]; [[citiesRef documentWithPath:@"TOK"] setData:@{ @"name": @"Tokyo", @"country": @"Japan", @"capital": @(YES), @"population": @9000000, @"regions": @[@"kanto", @"honshu"] }]; [[citiesRef documentWithPath:@"BJ"] setData:@{ @"name": @"Beijing", @"country": @"China", @"capital": @(YES), @"population": @21500000, @"regions": @[@"jingjinji", @"hebei"] }];
Kotlin
val cities = db.collection("cities") val data1 = hashMapOf( "name" to "San Francisco", "state" to "CA", "country" to "USA", "capital" to false, "population" to 860000, "regions" to listOf("west_coast", "norcal"), ) cities.document("SF").set(data1) val data2 = hashMapOf( "name" to "Los Angeles", "state" to "CA", "country" to "USA", "capital" to false, "population" to 3900000, "regions" to listOf("west_coast", "socal"), ) cities.document("LA").set(data2) val data3 = hashMapOf( "name" to "Washington D.C.", "state" to null, "country" to "USA", "capital" to true, "population" to 680000, "regions" to listOf("east_coast"), ) cities.document("DC").set(data3) val data4 = hashMapOf( "name" to "Tokyo", "state" to null, "country" to "Japan", "capital" to true, "population" to 9000000, "regions" to listOf("kanto", "honshu"), ) cities.document("TOK").set(data4) val data5 = hashMapOf( "name" to "Beijing", "state" to null, "country" to "China", "capital" to true, "population" to 21500000, "regions" to listOf("jingjinji", "hebei"), ) cities.document("BJ").set(data5)
Java
CollectionReference cities = db.collection("cities"); Map<String, Object> data1 = new HashMap<>(); data1.put("name", "San Francisco"); data1.put("state", "CA"); data1.put("country", "USA"); data1.put("capital", false); data1.put("population", 860000); data1.put("regions", Arrays.asList("west_coast", "norcal")); cities.document("SF").set(data1); Map<String, Object> data2 = new HashMap<>(); data2.put("name", "Los Angeles"); data2.put("state", "CA"); data2.put("country", "USA"); data2.put("capital", false); data2.put("population", 3900000); data2.put("regions", Arrays.asList("west_coast", "socal")); cities.document("LA").set(data2); Map<String, Object> data3 = new HashMap<>(); data3.put("name", "Washington D.C."); data3.put("state", null); data3.put("country", "USA"); data3.put("capital", true); data3.put("population", 680000); data3.put("regions", Arrays.asList("east_coast")); cities.document("DC").set(data3); Map<String, Object> data4 = new HashMap<>(); data4.put("name", "Tokyo"); data4.put("state", null); data4.put("country", "Japan"); data4.put("capital", true); data4.put("population", 9000000); data4.put("regions", Arrays.asList("kanto", "honshu")); cities.document("TOK").set(data4); Map<String, Object> data5 = new HashMap<>(); data5.put("name", "Beijing"); data5.put("state", null); data5.put("country", "China"); data5.put("capital", true); data5.put("population", 21500000); data5.put("regions", Arrays.asList("jingjinji", "hebei")); cities.document("BJ").set(data5);
Dart
final cities = db.collection("cities"); final data1 = <String, dynamic>{ "name": "San Francisco", "state": "CA", "country": "USA", "capital": false, "population": 860000, "regions": ["west_coast", "norcal"] }; cities.doc("SF").set(data1); final data2 = <String, dynamic>{ "name": "Los Angeles", "state": "CA", "country": "USA", "capital": false, "population": 3900000, "regions": ["west_coast", "socal"], }; cities.doc("LA").set(data2); final data3 = <String, dynamic>{ "name": "Washington D.C.", "state": null, "country": "USA", "capital": true, "population": 680000, "regions": ["east_coast"] }; cities.doc("DC").set(data3); final data4 = <String, dynamic>{ "name": "Tokyo", "state": null, "country": "Japan", "capital": true, "population": 9000000, "regions": ["kanto", "honshu"] }; cities.doc("TOK").set(data4); final data5 = <String, dynamic>{ "name": "Beijing", "state": null, "country": "China", "capital": true, "population": 21500000, "regions": ["jingjinji", "hebei"], }; cities.doc("BJ").set(data5);
Java
Python
class City: def __init__(self, name, state, country, capital=False, population=0, regions=[]): self.name = name self.state = state self.country = country self.capital = capital self.population = population self.regions = regions @staticmethod def from_dict(source): # ... def to_dict(self): # ... def __repr__(self): return f"City(\ name={self.name}, \ country={self.country}, \ population={self.population}, \ capital={self.capital}, \ regions={self.regions}\ )"
cities_ref = db.collection("cities") cities_ref.document("BJ").set( City("Beijing", None, "China", True, 21500000, ["hebei"]).to_dict() ) cities_ref.document("SF").set( City( "San Francisco", "CA", "USA", False, 860000, ["west_coast", "norcal"] ).to_dict() ) cities_ref.document("LA").set( City( "Los Angeles", "CA", "USA", False, 3900000, ["west_coast", "socal"] ).to_dict() ) cities_ref.document("DC").set( City("Washington D.C.", None, "USA", True, 680000, ["east_coast"]).to_dict() ) cities_ref.document("TOK").set( City("Tokyo", None, "Japan", True, 9000000, ["kanto", "honshu"]).to_dict() )
Python
class City: def __init__(self, name, state, country, capital=False, population=0, regions=[]): self.name = name self.state = state self.country = country self.capital = capital self.population = population self.regions = regions @staticmethod def from_dict(source): # ... def to_dict(self): # ... def __repr__(self): return f"City(\ name={self.name}, \ country={self.country}, \ population={self.population}, \ capital={self.capital}, \ regions={self.regions}\ )"
cities_ref = db.collection("cities") await cities_ref.document("BJ").set( City("Beijing", None, "China", True, 21500000, ["hebei"]).to_dict() ) await cities_ref.document("SF").set( City( "San Francisco", "CA", "USA", False, 860000, ["west_coast", "norcal"] ).to_dict() ) await cities_ref.document("LA").set( City( "Los Angeles", "CA", "USA", False, 3900000, ["west_coast", "socal"] ).to_dict() ) await cities_ref.document("DC").set( City("Washington D.C.", None, "USA", True, 680000, ["east_coast"]).to_dict() ) await cities_ref.document("TOK").set( City("Tokyo", None, "Japan", True, 9000000, ["kanto", "honshu"]).to_dict() )
C++
CollectionReference cities = db->Collection("cities"); cities.Document("SF").Set({ {"name", FieldValue::String("San Francisco")}, {"state", FieldValue::String("CA")}, {"country", FieldValue::String("USA")}, {"capital", FieldValue::Boolean(false)}, {"population", FieldValue::Integer(860000)}, {"regions", FieldValue::Array({FieldValue::String("west_coast"), FieldValue::String("norcal")})}, }); cities.Document("LA").Set({ {"name", FieldValue::String("Los Angeles")}, {"state", FieldValue::String("CA")}, {"country", FieldValue::String("USA")}, {"capital", FieldValue::Boolean(false)}, {"population", FieldValue::Integer(3900000)}, {"regions", FieldValue::Array({FieldValue::String("west_coast"), FieldValue::String("socal")})}, }); cities.Document("DC").Set({ {"name", FieldValue::String("Washington D.C.")}, {"state", FieldValue::Null()}, {"country", FieldValue::String("USA")}, {"capital", FieldValue::Boolean(true)}, {"population", FieldValue::Integer(680000)}, {"regions", FieldValue::Array({FieldValue::String("east_coast")})}, }); cities.Document("TOK").Set({ {"name", FieldValue::String("Tokyo")}, {"state", FieldValue::Null()}, {"country", FieldValue::String("Japan")}, {"capital", FieldValue::Boolean(true)}, {"population", FieldValue::Integer(9000000)}, {"regions", FieldValue::Array({FieldValue::String("kanto"), FieldValue::String("honshu")})}, }); cities.Document("BJ").Set({ {"name", FieldValue::String("Beijing")}, {"state", FieldValue::Null()}, {"country", FieldValue::String("China")}, {"capital", FieldValue::Boolean(true)}, {"population", FieldValue::Integer(21500000)}, {"regions", FieldValue::Array({FieldValue::String("jingjinji"), FieldValue::String("hebei")})}, });
Node.js
Vai
PHP
Unity
CollectionReference citiesRef = db.Collection("cities"); citiesRef.Document("SF").SetAsync(new Dictionary<string, object>(){ { "Name", "San Francisco" }, { "State", "CA" }, { "Country", "USA" }, { "Capital", false }, { "Population", 860000 }, { "Regions", new ArrayList{"west_coast", "norcal"} } }); citiesRef.Document("LA").SetAsync(new Dictionary<string, object>(){ { "Name", "Los Angeles" }, { "State", "CA" }, { "Country", "USA" }, { "Capital", false }, { "Population", 3900000 }, { "Regions", new ArrayList{"west_coast", "socal"} } }); citiesRef.Document("DC").SetAsync(new Dictionary<string, object>(){ { "Name", "Washington D.C." }, { "State", null }, { "Country", "USA" }, { "Capital", true }, { "Population", 680000 }, { "Regions", new ArrayList{"east_coast"} } }); citiesRef.Document("TOK").SetAsync(new Dictionary<string, object>(){ { "Name", "Tokyo" }, { "State", null }, { "Country", "Japan" }, { "Capital", true }, { "Population", 9000000 }, { "Regions", new ArrayList{"kanto", "honshu"} } }); citiesRef.Document("BJ").SetAsync(new Dictionary<string, object>(){ { "Name", "Beijing" }, { "State", null }, { "Country", "China" }, { "Capital", true }, { "Population", 21500000 }, { "Regions", new ArrayList{"jingjinji", "hebei"} } });
C#
Ruby
Query semplici
La seguente query restituisce tutte le città con stato CA
:
Web
// Create a reference to the cities collection import { collection, query, where } from "firebase/firestore"; const citiesRef = collection(db, "cities"); // Create a query against the collection. const q = query(citiesRef, where("state", "==", "CA"));
Web
// Create a reference to the cities collection var citiesRef = db.collection("cities"); // Create a query against the collection. var query = citiesRef.where("state", "==", "CA");
Swift
// Create a reference to the cities collection let citiesRef = db.collection("cities") // Create a query against the collection. let query = citiesRef.whereField("state", isEqualTo: "CA")
Objective-C
// Create a reference to the cities collection FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"]; // Create a query against the collection. FIRQuery *query = [citiesRef queryWhereField:@"state" isEqualTo:@"CA"];
Kotlin
// Create a reference to the cities collection val citiesRef = db.collection("cities") // Create a query against the collection. val query = citiesRef.whereEqualTo("state", "CA")
Java
// Create a reference to the cities collection CollectionReference citiesRef = db.collection("cities"); // Create a query against the collection. Query query = citiesRef.whereEqualTo("state", "CA");
Dart
// Create a reference to the cities collection final citiesRef = db.collection("cities"); // Create a query against the collection. final query = citiesRef.where("state", isEqualTo: "CA");
Java
Python
Python
C++
CollectionReference cities_ref = db->Collection("cities"); // Create a query against the collection. Query query_ca = cities_ref.WhereEqualTo("state", FieldValue::String("CA"));
Node.js
Vai
PHP
Unity
CollectionReference citiesRef = db.Collection("cities"); Query query = citiesRef.WhereEqualTo("State", "CA"); query.GetSnapshotAsync().ContinueWithOnMainThread((querySnapshotTask) => { foreach (DocumentSnapshot documentSnapshot in querySnapshotTask.Result.Documents) { Debug.Log(String.Format("Document {0} returned by query State=CA", documentSnapshot.Id)); } });
C#
Ruby
La seguente query restituisce tutte le capitali:
Web
import { collection, query, where } from "firebase/firestore"; const citiesRef = collection(db, "cities"); const q = query(citiesRef, where("capital", "==", true));
Web
var citiesRef = db.collection("cities"); var query = citiesRef.where("capital", "==", true);
Swift
let capitalCities = db.collection("cities").whereField("capital", isEqualTo: true)
Objective-C
FIRQuery *capitalCities = [[self.db collectionWithPath:@"cities"] queryWhereField:@"capital" isEqualTo:@YES];
Kotlin
val capitalCities = db.collection("cities").whereEqualTo("capital", true)
Java
Query capitalCities = db.collection("cities").whereEqualTo("capital", true);
Dart
final capitalcities = db.collection("cities").where("capital", isEqualTo: true);
Java
Python
Python
C++
Query capital_cities = db->Collection("cities").WhereEqualTo( "capital", FieldValue::Boolean(true));
Node.js
Vai
PHP
Unity
CollectionReference citiesRef = db.Collection("cities"); Query query = citiesRef.WhereEqualTo("Capital", true); query.GetSnapshotAsync().ContinueWithOnMainThread((querySnapshotTask) => { foreach (DocumentSnapshot documentSnapshot in querySnapshotTask.Result.Documents) { Debug.Log(String.Format("Document {0} returned by query Capital=true", documentSnapshot.Id)); } });
C#
Ruby
Esegui una query
Dopo aver creato un oggetto query, utilizza la funzione get()
per recuperare i risultati:
Web
import { collection, query, where, getDocs } from "firebase/firestore"; const q = query(collection(db, "cities"), where("capital", "==", true)); const querySnapshot = await getDocs(q); querySnapshot.forEach((doc) => { // doc.data() is never undefined for query doc snapshots console.log(doc.id, " => ", doc.data()); });
Web
db.collection("cities").where("capital", "==", true) .get() .then((querySnapshot) => { querySnapshot.forEach((doc) => { // doc.data() is never undefined for query doc snapshots console.log(doc.id, " => ", doc.data()); }); }) .catch((error) => { console.log("Error getting documents: ", error); });
Swift
do { let querySnapshot = try await db.collection("cities").whereField("capital", isEqualTo: true) .getDocuments() for document in querySnapshot.documents { print("\(document.documentID) => \(document.data())") } } catch { print("Error getting documents: \(error)") }
Objective-C
[[[self.db collectionWithPath:@"cities"] queryWhereField:@"capital" isEqualTo:@(YES)] getDocumentsWithCompletion:^(FIRQuerySnapshot *snapshot, NSError *error) { if (error != nil) { NSLog(@"Error getting documents: %@", error); } else { for (FIRDocumentSnapshot *document in snapshot.documents) { NSLog(@"%@ => %@", document.documentID, document.data); } } }];
Kotlin
db.collection("cities") .whereEqualTo("capital", true) .get() .addOnSuccessListener { documents -> for (document in documents) { Log.d(TAG, "${document.id} => ${document.data}") } } .addOnFailureListener { exception -> Log.w(TAG, "Error getting documents: ", exception) }
Java
db.collection("cities") .whereEqualTo("capital", true) .get() .addOnCompleteListener(new OnCompleteListener<QuerySnapshot>() { @Override public void onComplete(@NonNull Task<QuerySnapshot> task) { if (task.isSuccessful()) { for (QueryDocumentSnapshot document : task.getResult()) { Log.d(TAG, document.getId() + " => " + document.getData()); } } else { Log.d(TAG, "Error getting documents: ", task.getException()); } } });
Dart
db.collection("cities").where("capital", isEqualTo: true).get().then( (querySnapshot) { print("Successfully completed"); for (var docSnapshot in querySnapshot.docs) { print('${docSnapshot.id} => ${docSnapshot.data()}'); } }, onError: (e) => print("Error completing: $e"), );
Java
Python
Python
C++
db->Collection("cities") .WhereEqualTo("capital", FieldValue::Boolean(true)) .Get() .OnCompletion([](const Future<QuerySnapshot>& future) { if (future.error() == Error::kErrorOk) { for (const DocumentSnapshot& document : future.result()->documents()) { std::cout << document << std::endl; } } else { std::cout << "Error getting documents: " << future.error_message() << std::endl; } });
Node.js
Vai
PHP
PHP
Per saperne di più sull'installazione e sulla creazione di un client Cloud Firestore, consulta Librerie client Cloud Firestore.
Unity
Query capitalQuery = db.Collection("cities").WhereEqualTo("Capital", true); capitalQuery.GetSnapshotAsync().ContinueWithOnMainThread(task => { QuerySnapshot capitalQuerySnapshot = task.Result; foreach (DocumentSnapshot documentSnapshot in capitalQuerySnapshot.Documents) { Debug.Log(String.Format("Document data for {0} document:", documentSnapshot.Id)); Dictionary<string, object> city = documentSnapshot.ToDictionary(); foreach (KeyValuePair<string, object> pair in city) { Debug.Log(String.Format("{0}: {1}", pair.Key, pair.Value)); } // Newline to separate entries Debug.Log(""); }; });
C#
Ruby
Per ulteriori informazioni sul recupero dei risultati delle query, consulta Get Data. Puoi anche aggiungere un ascoltatore a una query per ottenere i risultati attuali e ascoltare gli aggiornamenti futuri.
Operatori di query
Il metodo where()
accetta tre parametri: un campo in base al quale applicare il filtro, un operatore di confronto e un valore. Cloud Firestore supporta i seguenti operatori di confronto:
<
in meno rispetto<=
minore o uguale a==
uguale a>
maggiore di>=
maggiore o uguale a!=
non uguale aarray-contains
array-contains-any
in
not-in
Ad esempio:
Web
const stateQuery = query(citiesRef, where("state", "==", "CA")); const populationQuery = query(citiesRef, where("population", "<", 100000)); const nameQuery = query(citiesRef, where("name", ">=", "San Francisco"));
Web
const stateQuery = citiesRef.where("state", "==", "CA"); const populationQuery = citiesRef.where("population", "<", 100000); const nameQuery = citiesRef.where("name", ">=", "San Francisco");
Swift
let stateQuery = citiesRef.whereField("state", isEqualTo: "CA") let populationQuery = citiesRef.whereField("population", isLessThan: 100000) let nameQuery = citiesRef.whereField("name", isGreaterThanOrEqualTo: "San Francisco")
Objective-C
FIRQuery *stateQuery = [citiesRef queryWhereField:@"state" isEqualTo:@"CA"]; FIRQuery *populationQuery = [citiesRef queryWhereField:@"population" isLessThan:@100000]; FIRQuery *nameQuery = [citiesRef queryWhereField:@"name" isGreaterThanOrEqualTo:@"San Francisco"];
Kotlin
val stateQuery = citiesRef.whereEqualTo("state", "CA") val populationQuery = citiesRef.whereLessThan("population", 100000) val nameQuery = citiesRef.whereGreaterThanOrEqualTo("name", "San Francisco")
Java
Query stateQuery = citiesRef.whereEqualTo("state", "CA"); Query populationQuery = citiesRef.whereLessThan("population", 100000); Query nameQuery = citiesRef.whereGreaterThanOrEqualTo("name", "San Francisco");
Dart
final citiesRef = db.collection("cities"); final stateQuery = citiesRef.where("state", isEqualTo: "CA"); final populationQuery = citiesRef.where("population", isLessThan: 100000); final nameQuery = citiesRef.where("name", isEqualTo: "San Francisco");
Java
Python
Python
C++
cities_ref.WhereEqualTo("state", FieldValue::String("CA")); cities_ref.WhereLessThan("population", FieldValue::Integer(100000)); cities_ref.WhereGreaterThanOrEqualTo("name", FieldValue::String("San Francisco"));
Node.js
Vai
PHP
Unity
Query stateQuery = citiesRef.WhereEqualTo("State", "CA"); Query populationQuery = citiesRef.WhereGreaterThan("Population", 1000000); Query nameQuery = citiesRef.WhereGreaterThanOrEqualTo("Name", "San Francisco");
C#
Ruby
Non uguale (!=
)
Utilizza l'operatore diverso da (!=
) per restituire i documenti in cui il campo specificato esiste e non corrisponde al valore di confronto. Ad esempio:
Web
const notCapitalQuery = query(citiesRef, where("capital", "!=", false));
Web
citiesRef.where("capital", "!=", false);
Swift
let notEqualQuery = citiesRef.whereField("capital", isNotEqualTo: false)
Objective-C
query = [citiesRef queryWhereField:@"capital" isNotEqualTo:@NO];
Kotlin
val notCapitalQuery = citiesRef.whereNotEqualTo("capital", false)
Java
Query notCapitalQuery = citiesRef.whereNotEqualTo("capital", false);
Dart
final citiesRef = db.collection("cities"); final notCapitals = citiesRef.where("capital", isNotEqualTo: true);
Java
Python
// Snippet not yet available
C++
cities_ref.WhereNotEqualTo("capital", FieldValue::Boolean(false));
Node.js
Vai
// Snippet not yet available
PHP
Unity
Query query = citiesRef.WhereNotEqualTo("capital", false); Query query = citiesRef.WhereNotEqualTo("capital", false);
C#
// Snippet not yet available
Ruby
Questa query restituisce tutti i documenti city
in cui esiste il campo capital
con un valore diverso da false
o null
. Sono inclusi i documenti city
in cui il valore del campo capital
è uguale a true
o a qualsiasi valore non booleano diverso da null
.
Questa query non restituisce documenti city
in cui non esiste il campo capital
. Le query Non uguale (!=
) e not-in
escludono i documenti in cui il
campo specificato non esiste.
Un campo esiste quando è impostato su qualsiasi valore, inclusa una stringa vuota (""
),
null
e NaN
(non un numero). Tieni presente che i valori dei campi null
non
corrispondono alle clausole !=
, perché x != null
restituisce undefined
.
Limitazioni
Tieni presente le seguenti limitazioni per le query !=
:
- Solo i documenti in cui esiste il campo specificato possono corrispondere alla query.
- Non puoi combinare
not-in
e!=
in una query composta.
Appartenenza all'array
Puoi utilizzare l'operatore array-contains
per filtrare in base ai valori
dell'array. Ad esempio:
Web
import { query, where } from "firebase/firestore"; const q = query(citiesRef, where("regions", "array-contains", "west_coast"));
Web
citiesRef.where("regions", "array-contains", "west_coast");
Swift
citiesRef .whereField("regions", arrayContains: "west_coast")
Objective-C
[citiesRef queryWhereField:@"state" arrayContains:@"west_coast"];
Kotlin
val citiesRef = db.collection("cities") citiesRef.whereArrayContains("regions", "west_coast")
Java
CollectionReference citiesRef = db.collection("cities"); citiesRef.whereArrayContains("regions", "west_coast");
Dart
final citiesRef = db.collection("cities"); final westCoastcities = citiesRef.where("regions", arrayContains: "west_coast");
Java
Python
Python
C++
CollectionReference cities_ref = db->Collection("cities"); cities_ref.WhereArrayContains("region", FieldValue::String("west_coast"));
Node.js
Vai
PHP
Unity
CollectionReference citiesRef = db.Collection("cities"); Query arrayContainsQuery = citiesRef.WhereArrayContains("region", "west_coast");
C#
Ruby
Questa query restituisce tutti i documenti city
in cui il campo regions
è un array che contiene west_coast
. Se l'array contiene più istanze del valore su cui esegui la query, il documento viene incluso nei risultati una sola volta.
Puoi utilizzare al massimo una clausola array-contains
per disgiunzione (gruppo or
).
Non puoi combinare array-contains
con array-contains-any
nella stessa disgiunzione.
in
, not-in
e array-contains-any
Utilizza l'operatore in
per combinare fino a 30
clausole di uguaglianza (==
) nello stesso campo con un OR
logico. Una query in
restituisce i documenti in cui il campo specificato corrisponde a uno dei valori di confronto.
Ad esempio:
Web
import { query, where } from "firebase/firestore"; const q = query(citiesRef, where('country', 'in', ['USA', 'Japan']));
Web
citiesRef.where('country', 'in', ['USA', 'Japan']);
Swift
let citiesRef = db.collection("cities") citiesRef.whereField("country", in: ["USA", "Japan"])
Objective-C
FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"]; [citiesRef queryWhereField:@"country" in:@[@"USA", @"Japan"]];
Kotlin
val citiesRef = db.collection("cities") citiesRef.whereIn("country", listOf("USA", "Japan"))
Java
CollectionReference citiesRef = db.collection("cities"); citiesRef.whereIn("country", Arrays.asList("USA", "Japan"));
Dart
final citiesRef = db.collection("cities"); final cities = citiesRef.where("country", whereIn: ["USA", "Japan"]);
Java
Python
Python
C++
CollectionReference cities_ref = db->Collection("cities"); cities_ref.WhereIn("country", std::vector<FieldValue> { FieldValue::String("USA"), FieldValue::String("Japan") });
Node.js
Vai
PHP
Unity
CollectionReference citiesRef = db.Collection("cities"); ListcountriesList = new List<object>() {"USA", "Japan"}; Query whereInQuery = citiesRef.WhereIn("country", countriesList);
C#
Ruby
Questa query restituisce tutti i documenti city
in cui il campo country
è impostato su USA
o Japan
. Dai dati di esempio, sono inclusi i documenti SF
, LA
, DC
e TOK
.
not-in
Utilizza l'operatore not-in
per combinare fino a 10 clausole diverse da (!=
) nello stesso campo con un AND
logico. Una query not-in
restituisce i documenti in cui il
campo specificato esiste, non è null
e non corrisponde a nessuno dei
valori di confronto. Ad esempio:
Web
import { query, where } from "firebase/firestore"; const q = query(citiesRef, where('country', 'not-in', ['USA', 'Japan']));
Web
citiesRef.where('country', 'not-in', ['USA', 'Japan']);
Swift
citiesRef.whereField("country", notIn: ["USA", "Japan"])
Objective-C
[citiesRef queryWhereField:@"country" notIn:@[@"USA", @"Japan"]];
Kotlin
citiesRef.whereNotIn("country", listOf("USA", "Japan"))
Java
citiesRef.whereNotIn("country", Arrays.asList("USA", "Japan"));
Dart
final citiesRef = db.collection("cities"); final cities = citiesRef.where("country", whereNotIn: ["USA", "Japan"]);
Java
Python
// Snippet not yet available
C++
cities_ref.WhereNotIn("country", std::vector<FieldValue> { FieldValue::String("USA"), FieldValue::String("Japan") });
Node.js
Vai
// Snippet not yet available
PHP
Unity
Query query = citiesRef.WhereNotIn(new FieldPath("country"), new List<string>{"USA", "Japan"}); Query query = citiesRef.WhereNotIn("country", new List<object>(){"USA", "Japan"});
C#
// Snippet not yet available
Ruby
Questa query restituisce tutti i documenti city
in cui esiste il campo country
e non è impostato su USA
, Japan
o null
. Dai dati di esempio, sono inclusi i documenti London
e Hong Kong
.
Le query not-in
escludono i documenti in cui il
campo specificato non esiste. Un campo esiste quando è impostato su qualsiasi valore, incluso una stringa vuota (""
), null
e NaN
(non un numero). Tieni conto
che x != null
restituisce undefined
. Una query not-in
con
null
come uno dei valori di confronto non corrisponde a nessun documento.
array-contains-any
Utilizza l'operatore array-contains-any
per combinare fino a 30
clause array-contains
nello stesso campo con un OR
logico. Una query array-contains-any
restituisce i documenti in cui il campo specificato è un array che contiene uno o più valori di confronto:
Web
import { query, where } from "firebase/firestore"; const q = query(citiesRef, where('regions', 'array-contains-any', ['west_coast', 'east_coast']));
Web
citiesRef.where('regions', 'array-contains-any', ['west_coast', 'east_coast']);
Swift
let citiesRef = db.collection("cities") citiesRef.whereField("regions", arrayContainsAny: ["west_coast", "east_coast"])
Objective-C
FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"]; [citiesRef queryWhereField:@"regions" arrayContainsAny:@[@"west_coast", @"east_coast"]];
Kotlin
val citiesRef = db.collection("cities") citiesRef.whereArrayContainsAny("regions", listOf("west_coast", "east_coast"))
Java
CollectionReference citiesRef = db.collection("cities"); citiesRef.whereArrayContainsAny("regions", Arrays.asList("west_coast", "east_coast"));
Dart
final citiesRef = db.collection("cities"); final cities = citiesRef .where("regions", arrayContainsAny: ["west_coast", "east_coast"]);
Java
Python
Python
C++
CollectionReference cities_ref = db->Collection("cities"); cities_ref.WhereArrayContainsAny("region", std::vector<FieldValue> { FieldValue::String("west_coast"), FieldValue::String("east_coast") });
Node.js
Vai
PHP
Unity
Query query = citiesRef.WhereArrayContainsAny( "regions", new List<object>() { new List<object>(){"west_coast"}, new List<object>(){"east_coast"}});
C#
Ruby
Questa query restituisce tutti i documenti della città in cui il campo regions
è un array contenente west_coast
o east_coast
. Dai dati di esempio, sono inclusi
i documenti SF
, LA
e DC
.
I risultati di array-contains-any
sono stati deduplicati. Anche se il campo array di un documento corrisponde a più di uno dei valori di confronto, il set di risultati include il documento solo una volta.
array-contains-any
filtra sempre in base al tipo di dati array. Ad esempio, la query sopra non restituirebbe un documento della città in cui, anziché un array, il campo regions
è la stringa west_coast
.
Puoi utilizzare un valore di array come valore di confronto per in
, ma, a differenza di array-contains-any
, la clausola corrisponde a una corrispondenza esatta della lunghezza, dell'ordine e dei valori dell'array. Ad esempio:
Web
import { query, where } from "firebase/firestore"; const q = query(citiesRef, where('regions', 'in', [['west_coast'], ['east_coast']]));
Web
citiesRef.where('regions', 'in', [['west_coast'], ['east_coast']]);
Swift
citiesRef.whereField("regions", in: [["west_coast"], ["east_coast"]])
Objective-C
[citiesRef queryWhereField:@"regions" in:@[@[@"west_coast"], @[@"east_coast"]]];
Kotlin
citiesRef.whereIn("regions", listOf(arrayOf("west_coast"), arrayOf("east_coast")))
Java
citiesRef.whereIn("regions", Arrays.asList(new String[]{"west_coast"}, new String[]{"east_coast"}));
Dart
final citiesRef = db.collection("cities"); final cities = citiesRef.where("regions", whereIn: [ ["west_coast"], ["east_coast"] ]);
Java
Python
Python
C++
cities_ref.WhereIn("region", std::vector<FieldValue> { FieldValue::String("west_coast"), FieldValue::String("east_coast") });
Node.js
Vai
PHP
Unity
Query query = citiesRef.WhereIn(new FieldPath("regions"), new List<string>{"west_coast", "east_coast"});
C#
Ruby
Questa query restituisce tutti i documenti della città in cui il campo regions
è un array
che contiene esattamente un elemento di west_coast
o east_coast
.
Dai dati di esempio, solo il documento DC
è idoneo con il campo regions
di ["east_coast"]
. Tuttavia, il documento SF
non corrisponde perché il relativo campo regions
è ["west_coast", "norcal"]
.
Limitazioni
Tieni presente le seguenti limitazioni per in
, not-in
e array-contains-any
:
- Cloud Firestore supporta le query
OR
logiche tramite gli operatorior
,in
earray-contains-any
. Queste query sono limitate a 30 disgiunzioni in base alla forma normale disgiuntiva della query. - Puoi utilizzare al massimo una clausola
array-contains
per disgiunzione (gruppoor
). Non puoi combinarearray-contains
conarray-contains-any
nella stessa disgiunzione. - Non puoi combinare
not-in
con Non è uguale a!=
. not-in
supporta fino a 10 valori di confronto.
Query composte (AND
)
Puoi combinare i vincoli con un AND
logico incatenando più operatori di uguaglianza (==
o array-contains
). Tuttavia, devi creare un
indice composito per combinare gli operatori di uguaglianza con gli operatori di diseguaglianza, <
, <=
, >
e !=
.
Web
import { query, where } from "firebase/firestore"; const q1 = query(citiesRef, where("state", "==", "CO"), where("name", "==", "Denver")); const q2 = query(citiesRef, where("state", "==", "CA"), where("population", "<", 1000000));
Web
const q1 = citiesRef.where("state", "==", "CO").where("name", "==", "Denver"); const q2 = citiesRef.where("state", "==", "CA").where("population", "<", 1000000);
Swift
citiesRef .whereField("state", isEqualTo: "CO") .whereField("name", isEqualTo: "Denver") citiesRef .whereField("state", isEqualTo: "CA") .whereField("population", isLessThan: 1000000)
Objective-C
[[citiesRef queryWhereField:@"state" isEqualTo:@"CO"] queryWhereField:@"name" isGreaterThanOrEqualTo:@"Denver"]; [[citiesRef queryWhereField:@"state" isEqualTo:@"CA"] queryWhereField:@"population" isLessThan:@1000000];
Kotlin
citiesRef.whereEqualTo("state", "CO").whereEqualTo("name", "Denver") citiesRef.whereEqualTo("state", "CA").whereLessThan("population", 1000000)
Java
citiesRef.whereEqualTo("state", "CO").whereEqualTo("name", "Denver"); citiesRef.whereEqualTo("state", "CA").whereLessThan("population", 1000000);
Dart
final citiesRef = db.collection("cities"); citiesRef .where("state", isEqualTo: "CO") .where("name", isEqualTo: "Denver"); citiesRef .where("state", isEqualTo: "CA") .where("population", isLessThan: 1000000);
Java
Python
Python
C++
cities_ref.WhereEqualTo("state", FieldValue::String("CO")) .WhereEqualTo("name", FieldValue::String("Denver")); cities_ref.WhereEqualTo("state", FieldValue::String("CA")) .WhereLessThan("population", FieldValue::Integer(1000000));
Node.js
Vai
PHP
Unity
Query chainedQuery = citiesRef .WhereEqualTo("State", "CA") .WhereEqualTo("Name", "San Francisco");
C#
Ruby
OR
query
Puoi combinare i vincoli con un OR
logico. Ad esempio:
Web
const q = query(citiesRef, or(where('capital', '==', true), where('population', '>=', 1000000) ) );
Web
Non disponibile.
Swift
let query = db.collection("cities").whereFilter(Filter.orFilter([ Filter.whereField("capital", isEqualTo: true), Filter.whereField("population", isGreaterThanOrEqualTo: 1000000); ]))
Objective-C
FIRCollectionReference *collection = [self.db collectionWithPath:@"cities"]; FIRQuery *query = [collection queryWhereFilter:[FIRFilter orFilterWithFilters:@[ [FIRFilter filterWhereField:@"capital" isEqualTo:@YES], [FIRFilter filterWhereField:@"population" isGreaterThanOrEqualTo:@1000000] ]]];
Kotlin
val query = collection.where(Filter.or( Filter.equalTo("capital", true), Filter.greaterThanOrEqualTo("population", 1000000) ))
Java
Query query = collection.where(Filter.or( Filter.equalTo("capital", true), Filter.greaterThanOrEqualTo("population", 1000000) ));
Dart
var query = db.collection("cities").where( Filter.or( Filter("capital", isEqualTo: true), Filter("population", isGreaterThan: 1000000), ), );
Java
Snippet non disponibile.
Python
Python
Snippet non disponibile.
C++
Snippet non disponibile.
Node.js
const bigCities = await citiesRef .where( Filter.or( Filter.where('capital', '==', true), Filter.where('population', '>=', 1000000) ) ) .get();
Vai
PHP
Snippet non disponibile.
Unity
Query query = citiesRef.Where(Filter.Or( Filter.EqualTo("State", "CA"), Filter.GreaterThanOrEqualTo("population", 1000000) )); query.GetSnapshotAsync().ContinueWithOnMainThread((querySnapshotTask) => { foreach (DocumentSnapshot documentSnapshot in querySnapshotTask.Result.Documents) { Debug.Log(String.Format("Document {0} returned by query State=CA or population >= {1}", documentSnapshot.Id, 1000000)); } });
C#
Snippet non disponibile.
Ruby
Snippet non disponibile.
Cloud Firestore utilizza gli indici composti per gestire le query OR
. Se
i tuoi indici non supportano la query, Cloud Firestore
suggerisce indici aggiuntivi per il tuo database.
Puoi combinare le query OR
con query composte per filtrare in base a combinazioni di operazioni OR
e AND
. Ad esempio:
Web
const q = query(collection(db, "cities"), and( where('state', '==', 'CA'), or( where('capital', '==', true), where('population', '>=', 1000000) ) ));
Web
Non disponibile.
Swift
let query = db.collection("cities").whereFilter(Filter.andFilter([ Filter.whereField("state", isEqualTo: "CA"), Filter.orFilter([ Filter.whereField("capital", isEqualTo: true), Filter.whereField("population", isGreaterThanOrEqualTo: 1000000); ]) ]))
Objective-C
FIRCollectionReference *collection = [self.db collectionWithPath:@"cities"]; FIRQuery *query = [collection queryWhereFilter:[FIRFilter andFilterWithFilters:@[ [FIRFilter filterWhereField:@"state" isEqualTo:@"CA"], [FIRFilter orFilterWithFilters:@[ [FIRFilter filterWhereField:@"capital" isEqualTo:@YES], [FIRFilter filterWhereField:@"population" isGreaterThanOrEqualTo:@1000000] ]] ]]];
Kotlin
val query = collection.where(Filter.and( Filter.equalTo("state", "CA"), Filter.or( Filter.equalTo("capital", true), Filter.greaterThanOrEqualTo("population", 1000000) ) ))
Java
Query query = collection.where(Filter.and( Filter.equalTo("state", "CA"), Filter.or( Filter.equalTo("capital", true), Filter.greaterThanOrEqualTo("population", 1000000) ) ));
Dart
var query = db.collection("cities").where( Filter.and( Filter("state", isEqualTo: "CA"), Filter.or( Filter("capital", isEqualTo: true), Filter("population", isGreaterThan: 1000000), ), ), );
Java
Snippet non disponibile.
Python
Snippet non disponibile.
Python
Snippet non disponibile.
C++
Snippet non disponibile.
Node.js
const bigCitiesInCalifornia = await citiesRef .where('state', '==', 'CA') .where( Filter.or( Filter.where('capital', '==', true), Filter.where('population', '>=', 1000000) ) ) .get();
Vai
Snippet non disponibile.
PHP
Snippet non disponibile.
Unity
Query query = citiesRef.Where(Filter.And( Filter.EqualTo("state", "CA"), Filter.Or( Filter.EqualTo("capital", true), Filter.GreaterThanOrEqualTo("population", 1000000) ) ));
C#
Snippet non disponibile.
Ruby
Snippet non disponibile.
Limitazioni
Tieni presente le seguenti limitazioni per le query or
:
- Cloud Firestore limita una query a un massimo di 30 disgiunzioni in base al modulo disgiuntivo standard della query.
È più probabile che tu raggiunga questo limite quando esegui un
AND
di più gruppiOR
. - Non puoi combinare
not-in
conin
,array-contains-any
oor
nella stessa query.
Per una descrizione completa delle limitazioni, consulta Limitazioni delle query.
Query sui gruppi di raccolte
Un gruppo di raccolte è costituito da tutte le raccolte con lo stesso ID. Per impostazione predefinita, le query recuperano i risultati da una singola raccolta nel database. Utilizza una query sul gruppo di raccolte per recuperare i documenti da un gruppo di raccolte anziché da una singola raccolta.
Ad esempio, puoi creare un gruppo di raccolte landmarks
aggiungendo una sottoraccolta di punti di riferimento a ogni città:
Web
import { collection, addDoc } from "firebase/firestore"; const citiesRef = collection(db, 'cities'); await Promise.all([ addDoc(collection(citiesRef, 'SF', 'landmarks'), { name: 'Golden Gate Bridge', type: 'bridge' }), addDoc(collection(citiesRef, 'SF', 'landmarks'), { name: 'Legion of Honor', type: 'museum' }), addDoc(collection(citiesRef, 'LA', 'landmarks'), { name: 'Griffith Park', type: 'park' }), addDoc(collection(citiesRef, 'LA', 'landmarks'), { name: 'The Getty', type: 'museum' }), addDoc(collection(citiesRef, 'DC', 'landmarks'), { name: 'Lincoln Memorial', type: 'memorial' }), addDoc(collection(citiesRef, 'DC', 'landmarks'), { name: 'National Air and Space Museum', type: 'museum' }), addDoc(collection(citiesRef, 'TOK', 'landmarks'), { name: 'Ueno Park', type: 'park' }), addDoc(collection(citiesRef, 'TOK', 'landmarks'), { name: 'National Museum of Nature and Science', type: 'museum' }), addDoc(collection(citiesRef, 'BJ', 'landmarks'), { name: 'Jingshan Park', type: 'park' }), addDoc(collection(citiesRef, 'BJ', 'landmarks'), { name: 'Beijing Ancient Observatory', type: 'museum' }) ]);
Web
var citiesRef = db.collection('cities'); var landmarks = Promise.all([ citiesRef.doc('SF').collection('landmarks').doc().set({ name: 'Golden Gate Bridge', type: 'bridge' }), citiesRef.doc('SF').collection('landmarks').doc().set({ name: 'Legion of Honor', type: 'museum' }), citiesRef.doc('LA').collection('landmarks').doc().set({ name: 'Griffith Park', type: 'park' }), citiesRef.doc('LA').collection('landmarks').doc().set({ name: 'The Getty', type: 'museum' }), citiesRef.doc('DC').collection('landmarks').doc().set({ name: 'Lincoln Memorial', type: 'memorial' }), citiesRef.doc('DC').collection('landmarks').doc().set({ name: 'National Air and Space Museum', type: 'museum' }), citiesRef.doc('TOK').collection('landmarks').doc().set({ name: 'Ueno Park', type: 'park' }), citiesRef.doc('TOK').collection('landmarks').doc().set({ name: 'National Museum of Nature and Science', type: 'museum' }), citiesRef.doc('BJ').collection('landmarks').doc().set({ name: 'Jingshan Park', type: 'park' }), citiesRef.doc('BJ').collection('landmarks').doc().set({ name: 'Beijing Ancient Observatory', type: 'museum' }) ]);
Swift
let citiesRef = db.collection("cities") var data = ["name": "Golden Gate Bridge", "type": "bridge"] citiesRef.document("SF").collection("landmarks").addDocument(data: data) data = ["name": "Legion of Honor", "type": "museum"] citiesRef.document("SF").collection("landmarks").addDocument(data: data) data = ["name": "Griffith Park", "type": "park"] citiesRef.document("LA").collection("landmarks").addDocument(data: data) data = ["name": "The Getty", "type": "museum"] citiesRef.document("LA").collection("landmarks").addDocument(data: data) data = ["name": "Lincoln Memorial", "type": "memorial"] citiesRef.document("DC").collection("landmarks").addDocument(data: data) data = ["name": "National Air and Space Museum", "type": "museum"] citiesRef.document("DC").collection("landmarks").addDocument(data: data) data = ["name": "Ueno Park", "type": "park"] citiesRef.document("TOK").collection("landmarks").addDocument(data: data) data = ["name": "National Museum of Nature and Science", "type": "museum"] citiesRef.document("TOK").collection("landmarks").addDocument(data: data) data = ["name": "Jingshan Park", "type": "park"] citiesRef.document("BJ").collection("landmarks").addDocument(data: data) data = ["name": "Beijing Ancient Observatory", "type": "museum"] citiesRef.document("BJ").collection("landmarks").addDocument(data: data)
Objective-C
FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"]; NSDictionary *data = @{@"name": @"Golden Gate Bridge", @"type": @"bridge"}; [[[citiesRef documentWithPath:@"SF"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"Legion of Honor", @"type": @"museum"}; [[[citiesRef documentWithPath:@"SF"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"Griffith Park", @"type": @"park"}; [[[citiesRef documentWithPath:@"LA"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"The Getty", @"type": @"museum"}; [[[citiesRef documentWithPath:@"LA"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"Lincoln Memorial", @"type": @"memorial"}; [[[citiesRef documentWithPath:@"DC"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"National Air and Space Museum", @"type": @"museum"}; [[[citiesRef documentWithPath:@"DC"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"Ueno Park", @"type": @"park"}; [[[citiesRef documentWithPath:@"TOK"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"National Museum of Nature and Science", @"type": @"museum"}; [[[citiesRef documentWithPath:@"TOK"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"Jingshan Park", @"type": @"park"}; [[[citiesRef documentWithPath:@"BJ"] collectionWithPath:@"landmarks"] addDocumentWithData:data]; data = @{@"name": @"Beijing Ancient Observatory", @"type": @"museum"}; [[[citiesRef documentWithPath:@"BJ"] collectionWithPath:@"landmarks"] addDocumentWithData:data];
Kotlin
val citiesRef = db.collection("cities") val ggbData = mapOf( "name" to "Golden Gate Bridge", "type" to "bridge", ) citiesRef.document("SF").collection("landmarks").add(ggbData) val lohData = mapOf( "name" to "Legion of Honor", "type" to "museum", ) citiesRef.document("SF").collection("landmarks").add(lohData) val gpData = mapOf( "name" to "Griffth Park", "type" to "park", ) citiesRef.document("LA").collection("landmarks").add(gpData) val tgData = mapOf( "name" to "The Getty", "type" to "museum", ) citiesRef.document("LA").collection("landmarks").add(tgData) val lmData = mapOf( "name" to "Lincoln Memorial", "type" to "memorial", ) citiesRef.document("DC").collection("landmarks").add(lmData) val nasaData = mapOf( "name" to "National Air and Space Museum", "type" to "museum", ) citiesRef.document("DC").collection("landmarks").add(nasaData) val upData = mapOf( "name" to "Ueno Park", "type" to "park", ) citiesRef.document("TOK").collection("landmarks").add(upData) val nmData = mapOf( "name" to "National Musuem of Nature and Science", "type" to "museum", ) citiesRef.document("TOK").collection("landmarks").add(nmData) val jpData = mapOf( "name" to "Jingshan Park", "type" to "park", ) citiesRef.document("BJ").collection("landmarks").add(jpData) val baoData = mapOf( "name" to "Beijing Ancient Observatory", "type" to "musuem", ) citiesRef.document("BJ").collection("landmarks").add(baoData)
Java
CollectionReference citiesRef = db.collection("cities"); Map<String, Object> ggbData = new HashMap<>(); ggbData.put("name", "Golden Gate Bridge"); ggbData.put("type", "bridge"); citiesRef.document("SF").collection("landmarks").add(ggbData); Map<String, Object> lohData = new HashMap<>(); lohData.put("name", "Legion of Honor"); lohData.put("type", "museum"); citiesRef.document("SF").collection("landmarks").add(lohData); Map<String, Object> gpData = new HashMap<>(); gpData.put("name", "Griffith Park"); gpData.put("type", "park"); citiesRef.document("LA").collection("landmarks").add(gpData); Map<String, Object> tgData = new HashMap<>(); tgData.put("name", "The Getty"); tgData.put("type", "museum"); citiesRef.document("LA").collection("landmarks").add(tgData); Map<String, Object> lmData = new HashMap<>(); lmData.put("name", "Lincoln Memorial"); lmData.put("type", "memorial"); citiesRef.document("DC").collection("landmarks").add(lmData); Map<String, Object> nasaData = new HashMap<>(); nasaData.put("name", "National Air and Space Museum"); nasaData.put("type", "museum"); citiesRef.document("DC").collection("landmarks").add(nasaData); Map<String, Object> upData = new HashMap<>(); upData.put("name", "Ueno Park"); upData.put("type", "park"); citiesRef.document("TOK").collection("landmarks").add(upData); Map<String, Object> nmData = new HashMap<>(); nmData.put("name", "National Museum of Nature and Science"); nmData.put("type", "museum"); citiesRef.document("TOK").collection("landmarks").add(nmData); Map<String, Object> jpData = new HashMap<>(); jpData.put("name", "Jingshan Park"); jpData.put("type", "park"); citiesRef.document("BJ").collection("landmarks").add(jpData); Map<String, Object> baoData = new HashMap<>(); baoData.put("name", "Beijing Ancient Observatory"); baoData.put("type", "museum"); citiesRef.document("BJ").collection("landmarks").add(baoData);
Dart
final citiesRef = db.collection("cities"); final ggbData = {"name": "Golden Gate Bridge", "type": "bridge"}; citiesRef.doc("SF").collection("landmarks").add(ggbData); final lohData = {"name": "Legion of Honor", "type": "museum"}; citiesRef.doc("SF").collection("landmarks").add(lohData); final gpData = {"name": "Griffth Park", "type": "park"}; citiesRef.doc("LA").collection("landmarks").add(gpData); final tgData = {"name": "The Getty", "type": "museum"}; citiesRef.doc("LA").collection("landmarks").add(tgData); final lmData = {"name": "Lincoln Memorial", "type": "memorial"}; citiesRef.doc("DC").collection("landmarks").add(lmData); final nasaData = { "name": "National Air and Space Museum", "type": "museum" }; citiesRef.doc("DC").collection("landmarks").add(nasaData); final upData = {"name": "Ueno Park", "type": "park"}; citiesRef.doc("TOK").collection("landmarks").add(upData); final nmData = { "name": "National Musuem of Nature and Science", "type": "museum" }; citiesRef.doc("TOK").collection("landmarks").add(nmData); final jpData = {"name": "Jingshan Park", "type": "park"}; citiesRef.doc("BJ").collection("landmarks").add(jpData); final baoData = {"name": "Beijing Ancient Observatory", "type": "musuem"}; citiesRef.doc("BJ").collection("landmarks").add(baoData);
Java
Python
Python
C++
// Get a new write batch WriteBatch batch = db->batch(); DocumentReference sf_ref = db->Collection("cities").Document("SF"); batch.Set(sf_ref,{{"name", FieldValue::String("Golden Gate Bridge")}, {"type", FieldValue::String("bridge")}}); batch.Set(sf_ref,{{"name", FieldValue::String("Legion of Honor")}, {"type", FieldValue::String("museum")}}); DocumentReference la_ref = db->Collection("cities").Document("LA"); batch.Set(la_ref,{{"name", FieldValue::String("Griffith Park")}, {"type", FieldValue::String("park")}}); batch.Set(la_ref,{{"name", FieldValue::String("The Getty")}, {"type", FieldValue::String("museum")}}); DocumentReference dc_ref = db->Collection("cities").Document("DC"); batch.Set(dc_ref,{{"name", FieldValue::String("Lincoln Memorial")}, {"type", FieldValue::String("memorial")}}); batch.Set(dc_ref,{{"name", FieldValue::String("National Air and Space Museum")}, {"type", FieldValue::String("museum")}}); DocumentReference tok_ref = db->Collection("cities").Document("TOK"); batch.Set(tok_ref,{{"name", FieldValue::String("Ueno Park")}, {"type", FieldValue::String("park")}}); batch.Set(tok_ref,{{"name", FieldValue::String("National Museum of Nature and Science")}, {"type", FieldValue::String("museum")}}); DocumentReference bj_ref = db->Collection("cities").Document("BJ"); batch.Set(bj_ref,{{"name", FieldValue::String("Jingshan Park")}, {"type", FieldValue::String("park")}}); batch.Set(bj_ref,{{"name", FieldValue::String("Beijing Ancient Observatory")}, {"type", FieldValue::String("museum")}}); // Commit the batch batch.Commit().OnCompletion([](const Future<void>& future) { if (future.error() == Error::kErrorOk) { std::cout << "Write batch success!" << std::endl; } else { std::cout << "Write batch failure: " << future.error_message() << std::endl; } });
Node.js
Vai
PHP
Unity
List<Task<DocumentReference>> futures = new List<Task<DocumentReference>>(){ citiesRef .Document("SF") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Golden Gate Bridge"}, {"type", "bridge"}, } ), citiesRef .Document("SF") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Legion of Honor"}, {"type", "museum"}, } ), citiesRef .Document("LA") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Griffith Park"}, {"type", "park"}, } ), citiesRef .Document("LA") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "The Getty"}, {"type", "museum"}, } ), citiesRef .Document("DC") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Lincoln Memorial"}, {"type", "memorial"}, } ), citiesRef .Document("DC") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "National Air and Space Museum"}, {"type", "museum"}, } ), citiesRef .Document("TOK") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Ueno Park"}, {"type", "park"}, } ), citiesRef .Document("TOK") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "National Museum of Nature and Science"}, {"type", "museum"}, } ), citiesRef .Document("BJ") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Jingshan Park"}, {"type", "park"}, } ), citiesRef .Document("BJ") .Collection("landmarks") .AddAsync( new Dictionary<string, object>() { {"name", "Beijing Ancient Observatory"}, {"type", "museum"}, } )}; DocumentReference[] landmarks = Task.WhenAll(futures).Result;
C#
Ruby
Possiamo utilizzare la query semplice e composta descritta in precedenza per eseguire query su una singola raccolta secondaria landmarks
di una città, ma potresti anche voler recuperare contemporaneamente i risultati di tutte le raccolte secondarie landmarks
di ogni città.
Il gruppo di raccolte landmarks
è costituito da tutte le raccolte con l'IDlandmarks
e puoi eseguire query utilizzando una query sul gruppo di raccolte. Ad esempio,
questa query sul gruppo di raccolte recupera tutti i punti di riferimento museum
di tutte le città:
Web
import { collectionGroup, query, where, getDocs } from "firebase/firestore"; const museums = query(collectionGroup(db, 'landmarks'), where('type', '==', 'museum')); const querySnapshot = await getDocs(museums); querySnapshot.forEach((doc) => { console.log(doc.id, ' => ', doc.data()); });
Web
var museums = db.collectionGroup('landmarks').where('type', '==', 'museum'); museums.get().then((querySnapshot) => { querySnapshot.forEach((doc) => { console.log(doc.id, ' => ', doc.data()); }); });
Swift
db.collectionGroup("landmarks").whereField("type", isEqualTo: "museum").getDocuments { (snapshot, error) in // ... }
Objective-C
[[[self.db collectionGroupWithID:@"landmarks"] queryWhereField:@"type" isEqualTo:@"museum"] getDocumentsWithCompletion:^(FIRQuerySnapshot *snapshot, NSError *error) { // ... }];
Kotlin
db.collectionGroup("landmarks").whereEqualTo("type", "museum").get() .addOnSuccessListener { queryDocumentSnapshots -> // ... }
Java
db.collectionGroup("landmarks").whereEqualTo("type", "museum").get() .addOnSuccessListener(new OnSuccessListener<QuerySnapshot>() { @Override public void onSuccess(QuerySnapshot queryDocumentSnapshots) { // ... } });
Dart
db .collectionGroup("landmarks") .where("type", isEqualTo: "museum") .get() .then( (res) => print("Successfully completed"), onError: (e) => print("Error completing: $e"), );
Java
Python
Python
C++
db->CollectionGroup("landmarks") .WhereEqualTo("type", FieldValue::String("museum")).Get() .OnCompletion([](const firebase::Future<QuerySnapshot>& future) { if (future.error() == Error::kErrorOk) { for (const DocumentSnapshot& document : future.result()->documents()) { std::cout << document << std::endl; } } else { std::cout << "Error getting documents: " << future.error_message() << std::endl; } });
Node.js
Vai
PHP
Unity
Query museums = db.CollectionGroup("landmarks").WhereEqualTo("type", "museum"); museums.GetSnapshotAsync().ContinueWithOnMainThread((querySnapshotTask) => { foreach (DocumentSnapshot documentSnapshot in querySnapshotTask.Result.Documents) { Debug.Log(String.Format("Document {0} returned by query State=CA", documentSnapshot.Id)); } });
C#
Ruby
Prima di utilizzare una query sul gruppo di raccolte, devi creare un indice che supporti la query sul gruppo di raccolte. Puoi creare un indice tramite un messaggio di errore, la console o Firebase CLI.
Per gli SDK web e mobile, devi anche creare regole che consentano le query sul gruppo di raccolte.
Spiega il rendimento delle query
Cloud Firestore ti consente di misurare il rendimento delle query sul backend e di ricevere in cambio statistiche dettagliate sul rendimento dell'esecuzione delle query sul backend.
I risultati di Query Explain ti aiutano a capire come vengono eseguite le query, mostrandoti le inefficienze e la posizione di probabili colli di bottiglia lato server.
Per ulteriori informazioni, consulta la guida a Query Explain.
Limitazioni per le query
Il seguente elenco riassume le limitazioni delle query Cloud Firestore:
- Cloud Firestore supporta le query
OR
logiche tramite gli operatorior
,in
earray-contains-any
. Queste query sono limitate a 30 disgiunzioni in base alla forma normale disgiuntiva della query. - Puoi utilizzare al massimo una clausola
array-contains
per disgiunzione (gruppoor
). Non puoi combinarearray-contains
conarray-contains-any
nella stessa disgiunzione. - Non puoi combinare
not-in
conin
,array-contains-any
oor
nella stessa query. - È consentito un solo
not-in
o!=
per query. not-in
supporta fino a 10 valori di confronto.- La somma di filtri, ordini di ordinamento e percorso del documento principale (1 per una sottoraccolta, 0 per una raccolta principale) in una query non può superare 100. Questo valore viene calcolato in base alla forma normale disgiuntiva della query.
- Una query con un filtro di disuguaglianza su un campo implica l'ordinamento in base a quel campo e filtra per l'esistenza di quel campo.
Limiti per le query OR
Per evitare che una query diventi troppo dispendiosa in termini di risorse di calcolo,
Cloud Firestore limita il numero di clausole AND
e OR
che puoi combinare.
Per applicare questo limite, Cloud Firestore converte le query che eseguono operazioni OR
logiche (or
, in
e array-contains-any
) in forma normale disgiuntiva (nota anche come OR
di AND
). Cloud Firestore limita una query a un massimo di 30 disgiunzioni in forma normale disgiuntiva.
Forma normale disgiuntiva
Cloud Firestore converte le query in forma normale disgiuntiva applicando due regole:
Appiatti
Date le condizioni
A
,B
eC
:A and (B and C) => A and B and C
-
Date le condizioni
A
,B
,C
eD
:A and (B or C) => (A and B) or (A and C)
(A or B) and (C or D) => (A and C) or (A and D) or (B and C) or (B and D)
Quando applichi queste regole alle query in
e array-contains-any
, ricorda
che questi operatori sono abbreviazioni di OR
. Ad esempio, a in [1,2]
è la rappresentazione abbreviata di a = 1 OR a = 2
.
I seguenti esempi mostrano il numero di disgiunzioni per query diverse:
Query | Numero di disgiunzioni |
---|---|
query(collectionRef, where("a", "==", 1)) |
1 |
query(collectionRef, or( where("a", "==", 1), where("b", "==", 2) )) |
2 |
query(collectionRef, or( and( where("a", "==", 1), where("c", "==", 3) ), and( where("a", "==", 1), where("d", "==", 4) ), and( where("b", "==", 2), where("c", "==", 3) ), and( where("b", "==", 2), where("d", "==", 4) ) ) ) |
4 |
query(collectionRef, and( or( where("a", "==", 1), where("b", "==", 2) ), or( where("c", "==", 3), where("d", "==", 4) ) ) ) |
4 La forma normale disgiuntiva di questa query è uguale a quella riportata sopra. |
query(collectionRef, where("a", "in", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) ) |
10 |
query(collectionRef, and( where("a", "in", [1, 2, 3, 4, 5]), where("b", "in", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) ) ) |
50 Questa query restituisce un errore perché supera il limite di 30 disgiunzioni. |
query(collectionRef, or( where("a", "in", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), where("b", "in", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) ) ) |
20 |
query(collectionRef, and( where("a", "in", [1, 2, 3, 4, 5]), or( where("b", "==", 2), where("c", "==", 3) ) ) ) |
10 |
orderBy
ed esistenza
Quando ordini una query in base a un determinato campo, la query può restituire solo i documenti in cui esiste il campo ordinamento.
Ad esempio, la seguente query non restituisce alcun documento in cui il campo population
non è impostato, anche se soddisfano i filtri della query.
Java
db.collection("cities").whereEqualTo("country", “USA”).orderBy(“population”);
Un effetto correlato si applica alle ineguaglianze. Una query con un filtro di disuguaglianza su un campo implica anche l'ordinamento in base a quel campo. La seguente query non restituisce documenti senza un campo population
anche se country = USA
è presente nel documento . Come soluzione alternativa, puoi eseguire query separate per ogni ordinamento oppure assegnare un valore a tutti i campi in base ai quali effettui l'ordinamento.
Java
db.collection(“cities”).where(or(“country”, USA”), greaterThan(“population”, 250000));
La query riportata sopra include un criterio di ordinamento implicito per l'ineguaglianza ed è equivalente a quanto segue:
Java
db.collection(“cities”).where(or(“country”, USA”), greaterThan(“population”, 250000)).orderBy(“population”);
Passaggi successivi
- Scopri come ordinare e limitare i dati nei risultati delle query.
- Salva le letture quando vuoi semplicemente contare i risultati.