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ক্লাউড ফায়ারস্টোরে সহজ এবং যৌগিক প্রশ্নগুলি সম্পাদন করুন৷

ক্লাউড ফায়ারস্টোর আপনি একটি সংগ্রহ বা সংগ্রহ গোষ্ঠী থেকে কোন নথিগুলি পুনরুদ্ধার করতে চান তা নির্দিষ্ট করার জন্য শক্তিশালী ক্যোয়ারী কার্যকারিতা প্রদান করে৷ এই প্রশ্নগুলি get() বা addSnapshotListener() এর সাথেও ব্যবহার করা যেতে পারে, যেমন Get Data এবং Get Realtime Updates- এ বর্ণনা করা হয়েছে।

উদাহরণ ডেটা

শুরু করতে, শহরগুলি সম্পর্কে কিছু ডেটা লিখুন যাতে আমরা এটিকে আবার পড়ার বিভিন্ন উপায় দেখতে পারি:

Web version 9

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 version 8

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"] });
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
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"]
    ])
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
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"]
}];

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);

Kotlin+KTX

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)

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);
জাভা
CollectionReference cities = db.collection("cities");
List<ApiFuture<WriteResult>> futures = new ArrayList<>();
futures.add(
    cities
        .document("SF")
        .set(
            new City(
                "San Francisco",
                "CA",
                "USA",
                false,
                860000L,
                Arrays.asList("west_coast", "norcal"))));
futures.add(
    cities
        .document("LA")
        .set(
            new City(
                "Los Angeles",
                "CA",
                "USA",
                false,
                3900000L,
                Arrays.asList("west_coast", "socal"))));
futures.add(
    cities
        .document("DC")
        .set(
            new City(
                "Washington D.C.", null, "USA", true, 680000L, Arrays.asList("east_coast"))));
futures.add(
    cities
        .document("TOK")
        .set(
            new City(
                "Tokyo", null, "Japan", true, 9000000L, Arrays.asList("kanto", "honshu"))));
futures.add(
    cities
        .document("BJ")
        .set(
            new City(
                "Beijing",
                null,
                "China",
                true,
                21500000L,
                Arrays.asList("jingjinji", "hebei"))));
// (optional) block on documents successfully added
ApiFutures.allAsList(futures).get();
পাইথন
class City(object):
    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(u'cities')
cities_ref.document(u'BJ').set(
    City(u'Beijing', None, u'China', True, 21500000, [u'hebei']).to_dict())
cities_ref.document(u'SF').set(
    City(u'San Francisco', u'CA', u'USA', False, 860000,
         [u'west_coast', u'norcal']).to_dict())
cities_ref.document(u'LA').set(
    City(u'Los Angeles', u'CA', u'USA', False, 3900000,
         [u'west_coast', u'socal']).to_dict())
cities_ref.document(u'DC').set(
    City(u'Washington D.C.', None, u'USA', True, 680000,
         [u'east_coast']).to_dict())
cities_ref.document(u'TOK').set(
    City(u'Tokyo', None, u'Japan', True, 9000000,
         [u'kanto', u'honshu']).to_dict())

Python

class City(object):
    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()
)
সি++
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
const citiesRef = db.collection('cities');

await citiesRef.doc('SF').set({
  name: 'San Francisco', state: 'CA', country: 'USA',
  capital: false, population: 860000,
  regions: ['west_coast', 'norcal']
});
await citiesRef.doc('LA').set({
  name: 'Los Angeles', state: 'CA', country: 'USA',
  capital: false, population: 3900000,
  regions: ['west_coast', 'socal']
});
await citiesRef.doc('DC').set({
  name: 'Washington, D.C.', state: null, country: 'USA',
  capital: true, population: 680000,
  regions: ['east_coast']
});
await citiesRef.doc('TOK').set({
  name: 'Tokyo', state: null, country: 'Japan',
  capital: true, population: 9000000,
  regions: ['kanto', 'honshu']
});
await citiesRef.doc('BJ').set({
  name: 'Beijing', state: null, country: 'China',
  capital: true, population: 21500000,
  regions: ['jingjinji', 'hebei']
});
যাওয়া
cities := []struct {
	id string
	c  City
}{
	{
		id: "SF",
		c: City{Name: "San Francisco", State: "CA", Country: "USA",
			Capital: false, Population: 860000,
			Regions: []string{"west_coast", "norcal"}},
	},
	{
		id: "LA",
		c: City{Name: "Los Angeles", State: "CA", Country: "USA",
			Capital: false, Population: 3900000,
			Regions: []string{"west_coast", "socal"}},
	},
	{
		id: "DC",
		c: City{Name: "Washington D.C.", Country: "USA",
			Capital: true, Population: 680000,
			Regions: []string{"east_coast"}},
	},
	{
		id: "TOK",
		c: City{Name: "Tokyo", Country: "Japan",
			Capital: true, Population: 9000000,
			Regions: []string{"kanto", "honshu"}},
	},
	{
		id: "BJ",
		c: City{Name: "Beijing", Country: "China",
			Capital: true, Population: 21500000,
			Regions: []string{"jingjinji", "hebei"}},
	},
}
for _, c := range cities {
	if _, err := client.Collection("cities").Doc(c.id).Set(ctx, c.c); err != nil {
		return err
	}
}
পিএইচপি
$citiesRef = $db->collection('samples/php/cities');
$citiesRef->document('SF')->set([
    'name' => 'San Francisco',
    'state' => 'CA',
    'country' => 'USA',
    'capital' => false,
    'population' => 860000,
    'regions' => ['west_coast', 'norcal']
]);
$citiesRef->document('LA')->set([
    'name' => 'Los Angeles',
    'state' => 'CA',
    'country' => 'USA',
    'capital' => false,
    'population' => 3900000,
    'regions' => ['west_coast', 'socal']
]);
$citiesRef->document('DC')->set([
    'name' => 'Washington D.C.',
    'state' => null,
    'country' => 'USA',
    'capital' => true,
    'population' => 680000,
    'regions' => ['east_coast']
]);
$citiesRef->document('TOK')->set([
    'name' => 'Tokyo',
    'state' => null,
    'country' => 'Japan',
    'capital' => true,
    'population' => 9000000,
    'regions' => ['kanto', 'honshu']
]);
$citiesRef->document('BJ')->set([
    'name' => 'Beijing',
    'state' => null,
    'country' => 'China',
    'capital' => true,
    'population' => 21500000,
    'regions' => ['jingjinji', 'hebei']
]);
printf('Added example cities data to the cities collection.' . PHP_EOL);
ঐক্য
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"} }
});
সি#
CollectionReference citiesRef = db.Collection("cities");
await 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"} }
});
await 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"} }
});
await 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"} }
});
await citiesRef.Document("TOK").SetAsync(new Dictionary<string, object>(){
    { "Name", "Tokyo" },
    { "State", null },
    { "Country", "Japan" },
    { "Capital", true },
    { "Population", 9000000 },
    { "Regions", new ArrayList{"kanto", "honshu"} }
});
await citiesRef.Document("BJ").SetAsync(new Dictionary<string, object>(){
    { "Name", "Beijing" },
    { "State", null },
    { "Country", "China" },
    { "Capital", true },
    { "Population", 21500000 },
    { "Regions", new ArrayList{"jingjinji", "hebei"} }
});
Console.WriteLine("Added example cities data to the cities collection.");
রুবি
cities_ref = firestore.col collection_path
cities_ref.doc("SF").set(
  {
    name:       "San Francisco",
    state:      "CA",
    country:    "USA",
    capital:    false,
    population: 860_000,
    regions:    ["west_coast", "norcal"]
  }
)
cities_ref.doc("LA").set(
  {
    name:       "Los Angeles",
    state:      "CA",
    country:    "USA",
    capital:    false,
    population: 3_900_000,
    regions:    ["west_coast", "socal"]
  }
)
cities_ref.doc("DC").set(
  {
    name:       "Washington D.C.",
    state:      nil,
    country:    "USA",
    capital:    true,
    population: 680_000,
    regions:    ["east_coast"]
  }
)
cities_ref.doc("TOK").set(
  {
    name:       "Tokyo",
    state:      nil,
    country:    "Japan",
    capital:    true,
    population: 9_000_000,
    regions:    ["kanto", "honshu"]
  }
)
cities_ref.doc("BJ").set(
  {
    name:       "Beijing",
    state:      nil,
    country:    "China",
    capital:    true,
    population: 21_500_000,
    regions:    ["jingjinji", "hebei"]
  }
)

সহজ প্রশ্ন

নিম্নলিখিত ক্যোয়ারী রাজ্য CA সহ সমস্ত শহর ফেরত দেয়:

Web version 9

// 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 version 8

// Create a reference to the cities collection
var citiesRef = db.collection("cities");

// Create a query against the collection.
var query = citiesRef.where("state", "==", "CA");
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
// 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")
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
// 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"];

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");

Kotlin+KTX

// Create a reference to the cities collection
val citiesRef = db.collection("cities")

// Create a query against the collection.
val 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");
জাভা
// Create a reference to the cities collection
CollectionReference cities = db.collection("cities");
// Create a query against the collection.
Query query = cities.whereEqualTo("state", "CA");
// retrieve  query results asynchronously using query.get()
ApiFuture<QuerySnapshot> querySnapshot = query.get();

for (DocumentSnapshot document : querySnapshot.get().getDocuments()) {
  System.out.println(document.getId());
}
পাইথন
# Create a reference to the cities collection
cities_ref = db.collection(u'cities')

# Create a query against the collection
query_ref = cities_ref.where(u'state', u'==', u'CA')

Python

# Create a reference to the cities collection
cities_ref = db.collection("cities")

# Create a query against the collection
query_ref = cities_ref.where("state", "==", "CA")
সি++
CollectionReference cities_ref = db->Collection("cities");
// Create a query against the collection.
Query query_ca =
    cities_ref.WhereEqualTo("state", FieldValue::String("CA"));
Node.js
// Create a reference to the cities collection
const citiesRef = db.collection('cities');

// Create a query against the collection
const queryRef = citiesRef.where('state', '==', 'CA');
যাওয়া
query := client.Collection("cities").Where("state", "==", "CA")
পিএইচপি
$citiesRef = $db->collection('samples/php/cities');
$query = $citiesRef->where('state', '=', 'CA');
$snapshot = $query->documents();
foreach ($snapshot as $document) {
    printf('Document %s returned by query state=CA' . PHP_EOL, $document->id());
}
ঐক্য
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));
    } 
});
সি#
CollectionReference citiesRef = db.Collection("cities");
Query query = citiesRef.WhereEqualTo("State", "CA");
QuerySnapshot querySnapshot = await query.GetSnapshotAsync();
foreach (DocumentSnapshot documentSnapshot in querySnapshot.Documents)
{
    Console.WriteLine("Document {0} returned by query State=CA", documentSnapshot.Id);
}
রুবি
cities_ref = firestore.col collection_path

query = cities_ref.where "state", "=", "CA"

query.get do |city|
  puts "Document #{city.document_id} returned by query state=CA."
end

নিম্নলিখিত ক্যোয়ারী সমস্ত রাজধানী শহর ফেরত দেয়:

Web version 9

import { collection, query, where } from "firebase/firestore";
const citiesRef = collection(db, "cities");

const q = query(citiesRef, where("capital", "==", true));

Web version 8

var citiesRef = db.collection("cities");

var query = citiesRef.where("capital", "==", true);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
let capitalCities = db.collection("cities").whereField("capital", isEqualTo: true)
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
FIRQuery *capitalCities =
    [[self.db collectionWithPath:@"cities"] queryWhereField:@"capital" isEqualTo:@YES];

Java

Query capitalCities = db.collection("cities").whereEqualTo("capital", true);

Kotlin+KTX

val capitalCities = db.collection("cities").whereEqualTo("capital", true)

Dart

final capitalcities =
    db.collection("cities").where("capital", isEqualTo: true);
জাভা
// Create a reference to the cities collection
CollectionReference cities = db.collection("cities");
// Create a query against the collection.
Query query = cities.whereEqualTo("capital", true);
// retrieve  query results asynchronously using query.get()
ApiFuture<QuerySnapshot> querySnapshot = query.get();

for (DocumentSnapshot document : querySnapshot.get().getDocuments()) {
  System.out.println(document.getId());
}
পাইথন
cities_ref = db.collection(u'cities')

query = cities_ref.where(u'capital', u'==', True)

Python

cities_ref = db.collection("cities")

query = cities_ref.where("capital", "==", True)
সি++
Query capital_cities = db->Collection("cities").WhereEqualTo(
    "capital", FieldValue::Boolean(true));
Node.js
// Create a reference to the cities collection
const citiesRef = db.collection('cities');

// Create a query against the collection
const allCapitalsRes = await citiesRef.where('capital', '==', true).get();
যাওয়া
query := client.Collection("cities").Where("capital", "==", true)
পিএইচপি
$citiesRef = $db->collection('samples/php/cities');
$query = $citiesRef->where('capital', '=', true);
$snapshot = $query->documents();
foreach ($snapshot as $document) {
    printf('Document %s returned by query capital=true' . PHP_EOL, $document->id());
}
ঐক্য
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));
    } 
});
সি#
CollectionReference citiesRef = db.Collection("cities");
Query query = citiesRef.WhereEqualTo("Capital", true);
QuerySnapshot querySnapshot = await query.GetSnapshotAsync();
foreach (DocumentSnapshot documentSnapshot in querySnapshot.Documents)
{
    Console.WriteLine("Document {0} returned by query Capital=true", documentSnapshot.Id);
}
রুবি
cities_ref = firestore.col collection_path

query = cities_ref.where "capital", "=", true

query.get do |city|
  puts "Document #{city.document_id} returned by query capital=true."
end

একটি প্রশ্ন চালান

একটি ক্যোয়ারী অবজেক্ট তৈরি করার পরে, ফলাফলগুলি পুনরুদ্ধার করতে get() ফাংশনটি ব্যবহার করুন:

Web version 9

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 version 8

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);
    });
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
db.collection("cities").whereField("capital", isEqualTo: true)
    .getDocuments() { (querySnapshot, err) in
        if let err = err {
            print("Error getting documents: \(err)")
        } else {
            for document in querySnapshot!.documents {
                print("\(document.documentID) => \(document.data())")
            }
        }
}
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[[[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);
        }
      }
    }];

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());
                }
            }
        });

Kotlin+KTX

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)
        }

Dart

db.collection("cities").where("capital", isEqualTo: true).get().then(
      (res) => print("Successfully completed"),
      onError: (e) => print("Error completing: $e"),
    );
জাভা
// asynchronously retrieve multiple documents
ApiFuture<QuerySnapshot> future = db.collection("cities").whereEqualTo("capital", true).get();
// future.get() blocks on response
List<QueryDocumentSnapshot> documents = future.get().getDocuments();
for (DocumentSnapshot document : documents) {
  System.out.println(document.getId() + " => " + document.toObject(City.class));
}
পাইথন
# Note: Use of CollectionRef stream() is prefered to get()
docs = db.collection(u'cities').where(u'capital', u'==', True).stream()

for doc in docs:
    print(f'{doc.id} => {doc.to_dict()}')

Python

# Note: Use of CollectionRef stream() is prefered to get()
docs = db.collection("cities").where("capital", "==", True).stream()

async for doc in docs:
    print(f"{doc.id} => {doc.to_dict()}")
সি++
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
const citiesRef = db.collection('cities');
const snapshot = await citiesRef.where('capital', '==', true).get();
if (snapshot.empty) {
  console.log('No matching documents.');
  return;
}  

snapshot.forEach(doc => {
  console.log(doc.id, '=>', doc.data());
});
যাওয়া
fmt.Println("All capital cities:")
iter := client.Collection("cities").Where("capital", "==", true).Documents(ctx)
for {
	doc, err := iter.Next()
	if err == iterator.Done {
		break
	}
	if err != nil {
		return err
	}
	fmt.Println(doc.Data())
}
পিএইচপি
$citiesRef = $db->collection('samples/php/cities');
$query = $citiesRef->where('capital', '=', true);
$documents = $query->documents();
foreach ($documents as $document) {
    if ($document->exists()) {
        printf('Document data for document %s:' . PHP_EOL, $document->id());
        print_r($document->data());
        printf(PHP_EOL);
    } else {
        printf('Document %s does not exist!' . PHP_EOL, $document->id());
    }
}
ঐক্য
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("");
  };
});
সি#
Query capitalQuery = db.Collection("cities").WhereEqualTo("Capital", true);
QuerySnapshot capitalQuerySnapshot = await capitalQuery.GetSnapshotAsync();
foreach (DocumentSnapshot documentSnapshot in capitalQuerySnapshot.Documents)
{
    Console.WriteLine("Document data for {0} document:", documentSnapshot.Id);
    Dictionary<string, object> city = documentSnapshot.ToDictionary();
    foreach (KeyValuePair<string, object> pair in city)
    {
        Console.WriteLine("{0}: {1}", pair.Key, pair.Value);
    }
    Console.WriteLine("");
}
রুবি
cities_ref = firestore.col collection_path

query = cities_ref.where "capital", "=", true

query.get do |city|
  puts "#{city.document_id} data: #{city.data}."
end

ক্যোয়ারী ফলাফল পুনরুদ্ধার সম্পর্কে আরও তথ্যের জন্য ডেটা পান দেখুন। আপনি বর্তমান ফলাফল পেতে এবং ভবিষ্যতের আপডেটগুলি শুনতে একটি প্রশ্নের সাথে একজন শ্রোতাকে যুক্ত করতে পারেন৷

ক্যোয়ারী অপারেটর

where() পদ্ধতিতে তিনটি প্যারামিটার লাগে: ফিল্টার করার জন্য একটি ক্ষেত্র, একটি তুলনা অপারেটর এবং একটি মান। ক্লাউড ফায়ারস্টোর নিম্নলিখিত তুলনা অপারেটরগুলিকে সমর্থন করে:

উদাহরণ স্বরূপ:

Web version 9

const stateQuery = query(citiesRef, where("state", "==", "CA"));
const populationQuery = query(citiesRef, where("population", "<", 100000));
const nameQuery = query(citiesRef, where("name", ">=", "San Francisco"));

Web version 8

const stateQuery = citiesRef.where("state", "==", "CA");
const populationQuery = citiesRef.where("population", "<", 100000);
const nameQuery = citiesRef.where("name", ">=", "San Francisco");
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
let stateQuery = citiesRef.whereField("state", isEqualTo: "CA")
let populationQuery = citiesRef.whereField("population", isLessThan: 100000)
let nameQuery = citiesRef.whereField("name", isGreaterThanOrEqualTo: "San Francisco")
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
FIRQuery *stateQuery = [citiesRef queryWhereField:@"state" isEqualTo:@"CA"];
FIRQuery *populationQuery = [citiesRef queryWhereField:@"population" isLessThan:@100000];
FIRQuery *nameQuery = [citiesRef queryWhereField:@"name" isGreaterThanOrEqualTo:@"San Francisco"];

Java

Query stateQuery = citiesRef.whereEqualTo("state", "CA");
Query populationQuery = citiesRef.whereLessThan("population", 100000);
Query nameQuery = citiesRef.whereGreaterThanOrEqualTo("name", "San Francisco");

Kotlin+KTX

val stateQuery = citiesRef.whereEqualTo("state", "CA")
val populationQuery = citiesRef.whereLessThan("population", 100000)
val 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");
জাভা
Query stateQuery = cities.whereEqualTo("state", "CA");
Query populationQuery = cities.whereLessThan("population", 1000000L);
Query nameQuery = cities.whereGreaterThanOrEqualTo("name", "San Francisco");
পাইথন
cities_ref = db.collection(u'cities')

cities_ref.where(u'state', u'==', u'CA')
cities_ref.where(u'population', u'<', 1000000)
cities_ref.where(u'name', u'>=', u'San Francisco')

Python

cities_ref = db.collection("cities")

cities_ref.where("state", "==", "CA")
cities_ref.where("population", "<", 1000000)
cities_ref.where("name", ">=", "San Francisco")
সি++
cities_ref.WhereEqualTo("state", FieldValue::String("CA"));
cities_ref.WhereLessThan("population", FieldValue::Integer(100000));
cities_ref.WhereGreaterThanOrEqualTo("name",
                                     FieldValue::String("San Francisco"));
Node.js
const stateQueryRes = await citiesRef.where('state', '==', 'CA').get();
const populationQueryRes = await citiesRef.where('population', '<', 1000000).get();
const nameQueryRes = await citiesRef.where('name', '>=', 'San Francisco').get();
যাওয়া
countryQuery := cities.Where("state", "==", "CA")
popQuery := cities.Where("population", "<", 1000000)
cityQuery := cities.Where("name", ">=", "San Francisco")
পিএইচপি
$stateQuery = $citiesRef->where('state', '=', 'CA');
$populationQuery = $citiesRef->where('population', '>', 1000000);
$nameQuery = $citiesRef->where('name', '>=', 'San Francisco');
ঐক্য
Query stateQuery = citiesRef.WhereEqualTo("State", "CA");
Query populationQuery = citiesRef.WhereGreaterThan("Population", 1000000);
Query nameQuery = citiesRef.WhereGreaterThanOrEqualTo("Name", "San Francisco");
সি#
Query stateQuery = citiesRef.WhereEqualTo("State", "CA");
Query populationQuery = citiesRef.WhereGreaterThan("Population", 1000000);
Query nameQuery = citiesRef.WhereGreaterThanOrEqualTo("Name", "San Francisco");
রুবি
state_query      = cities_ref.where "state", "=", "CA"
population_query = cities_ref.where "population", ">", 1_000_000
name_query       = cities_ref.where "name", ">=", "San Francisco"

সমান নয় ( != )

নট ইকুয়াল ( != ) অপারেটর ব্যবহার করুন যেখানে প্রদত্ত ক্ষেত্রটি বিদ্যমান রয়েছে এবং তুলনা মানের সাথে মেলে না। উদাহরণ স্বরূপ:

Web version 9

const notCapitalQuery = query(citiesRef, where("capital", "!=", false));

Web version 8

citiesRef.where("capital", "!=", false);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
let notEqualQuery = citiesRef.whereField("capital", isNotEqualTo: false)
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
query = [citiesRef queryWhereField:@"capital" isNotEqualTo:@NO];

Java

Query notCapitalQuery = citiesRef.whereNotEqualTo("capital", false);

Kotlin+KTX

val notCapitalQuery = citiesRef.whereNotEqualTo("capital", false)

Dart

final citiesRef = db.collection("cities");
final notCapitals = citiesRef.where("capital", isNotEqualTo: true);
জাভা
CollectionReference citiesRef = db.collection("cities");

Query query = citiesRef.whereNotEqualTo("capital", false);
পাইথন
// Snippet not yet available
সি++
// Snippet not yet available
Node.js
const capitalNotFalseRes = await citiesRef.where('capital', '!=', false).get();
যাওয়া
// Snippet not yet available
পিএইচপি
$stateQuery = $citiesRef->where('capital', '!=', false);
ঐক্য
// Snippet not yet available
সি#
// Snippet not yet available
রুবি
cities_ref = firestore.col collection_path
query = cities_ref.where "capital", "!=", false

এই ক্যোয়ারীটি প্রতিটি city নথি প্রদান করে যেখানে capital ফিল্ডটি false বা null ছাড়া অন্য একটি মান সহ বিদ্যমান। এটি city নথিগুলি অন্তর্ভুক্ত করে যেখানে capital ক্ষেত্র মান true বা null ব্যতীত অন্য কোনো নন-বুলিয়ান মানের সমান।

এই প্রশ্নটি city নথিগুলি ফেরত দেয় না যেখানে capital ক্ষেত্রটি বিদ্যমান নেই৷ নট-ইকুয়াল ( != ) এবং নট- not-in কোয়েরি নথিগুলিকে বাদ দেয় যেখানে প্রদত্ত ক্ষেত্রটি বিদ্যমান নেই

একটি ক্ষেত্র বিদ্যমান থাকে যখন এটি একটি খালি স্ট্রিং ( "" ), null , এবং NaN (কোন সংখ্যা নয়) সহ যেকোনো মানতে সেট করা থাকে। মনে রাখবেন যে null ফিল্ডের মান মেলে না != ক্লজ, কারণ x != null মূল্যায়ন করে undefined .

সীমাবদ্ধতা

!= প্রশ্নগুলির জন্য নিম্নলিখিত সীমাবদ্ধতাগুলি নোট করুন:

  • শুধুমাত্র নথি যেখানে প্রদত্ত ক্ষেত্র বিদ্যমান আছে ক্যোয়ারী মেলে.
  • আপনি একটি যৌগিক প্রশ্নে not-in এবং != একত্রিত করতে পারবেন না।
  • একটি যৌগিক ক্যোয়ারীতে, পরিসর ( < , <= , > , >= ) এবং সমান নয় ( != , নট not-in ) তুলনাগুলি অবশ্যই একই ক্ষেত্রে ফিল্টার করতে হবে।

অ্যারে সদস্যপদ

আপনি অ্যারের মানগুলির উপর ভিত্তি করে ফিল্টার করতে array-contains অপারেটর ব্যবহার করতে পারেন। উদাহরণ স্বরূপ:

Web version 9

import { query, where } from "firebase/firestore";  
const q = query(citiesRef, where("regions", "array-contains", "west_coast"));

Web version 8

citiesRef.where("regions", "array-contains", "west_coast");
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
citiesRef
  .whereField("regions", arrayContains: "west_coast")
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[citiesRef queryWhereField:@"state" arrayContains:@"west_coast"];

Java

CollectionReference citiesRef = db.collection("cities");

citiesRef.whereArrayContains("regions", "west_coast");

Kotlin+KTX

val citiesRef = db.collection("cities")

citiesRef.whereArrayContains("regions", "west_coast")

Dart

final citiesRef = db.collection("cities");
final westCoastcities =
    citiesRef.where("regions", arrayContains: "west_coast");
জাভা
CollectionReference citiesRef = db.collection("cities");
Query westCoastQuery = citiesRef.whereArrayContains("regions", "west_coast");
পাইথন
cities_ref = db.collection(u'cities')

query = cities_ref.where(u'regions', u'array_contains', u'west_coast')

Python

cities_ref = db.collection("cities")

query = cities_ref.where("regions", "array_contains", "west_coast")
সি++
CollectionReference cities_ref = db->Collection("cities");

cities_ref.WhereArrayContains("region", FieldValue::String("west_coast"));
Node.js
const westCoastCities = citiesRef.where('regions', 'array-contains',
  'west_coast').get();
যাওয়া
query := cities.Where("regions", "array-contains", "west_coast").Documents(ctx)
পিএইচপি
$containsQuery = $citiesRef->where('regions', 'array-contains', 'west_coast');
ঐক্য
CollectionReference citiesRef = db.Collection("cities");
Query arrayContainsQuery = citiesRef.WhereArrayContains("region", "west_coast");
সি#
Query query = citiesRef.WhereArrayContains("Regions", "west_coast");
রুবি
cities_ref = firestore.col collection_path
cities = cities_ref.where "regions", "array-contains", "west_coast"

এই ক্যোয়ারীটি প্রতিটি city নথি প্রদান করে যেখানে regions ক্ষেত্রটি একটি অ্যারে যা west_coast ধারণ করে। যদি অ্যারেতে আপনি যে মানের প্রশ্ন করেন তার একাধিক দৃষ্টান্ত থাকে, তাহলে নথিটি শুধুমাত্র একবার ফলাফলে অন্তর্ভুক্ত করা হয়।

আপনি প্রতি ক্যোয়ারীতে সর্বাধিক একটি array-contains ধারা ব্যবহার করতে পারেন। আপনি array-contains সাথে array-contains-any any একত্রিত করতে পারবেন না।

in , not-in , এবং array-contains-any

লজিক্যাল OR এর সাথে একই ক্ষেত্রে 10টি পর্যন্ত সমতা ( == ) ক্লজ একত্রিত করতে in অপারেটর ব্যবহার করুন। একটি in কোয়েরি নথি প্রদান করে যেখানে প্রদত্ত ক্ষেত্রটি তুলনামূলক মানগুলির সাথে মেলে। উদাহরণ স্বরূপ:

Web version 9

import { query, where } from "firebase/firestore";

const q = query(citiesRef, where('country', 'in', ['USA', 'Japan']));

Web version 8

citiesRef.where('country', 'in', ['USA', 'Japan']);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
let citiesRef = db.collection("cities")

citiesRef.whereField("country", in: ["USA", "Japan"])
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"];

[citiesRef queryWhereField:@"country" in:@[@"USA", @"Japan"]];

Java

CollectionReference citiesRef = db.collection("cities");

citiesRef.whereIn("country", Arrays.asList("USA", "Japan"));

Kotlin+KTX

val citiesRef = db.collection("cities")

citiesRef.whereIn("country", listOf("USA", "Japan"))

Dart

final citiesRef = db.collection("cities");
final cities = citiesRef.where("country", whereIn: ["USA", "Japan"]);
জাভা
CollectionReference citiesRef = db.collection("cities");

Query query = citiesRef.whereIn("country", Arrays.asList("USA", "Japan"));
পাইথন
cities_ref = db.collection(u'cities')

query = cities_ref.where(u'country', u'in', [u'USA', u'Japan'])
return query

Python

cities_ref = db.collection("cities")

query = cities_ref.where("country", "in", ["USA", "Japan"])
return query
সি++
CollectionReference cities_ref = db->Collection("cities");

cities_ref.WhereIn("country", std::vector<FieldValue> {
  FieldValue::String("USA"),
  FieldValue::String("Japan")
});
Node.js
const usaOrJapan = await citiesRef.where('country', 'in', ['USA', 'Japan']).get();
যাওয়া
cities := client.Collection("cities")
query := cities.Where("country", "in", []string{"USA", "Japan"}).Documents(ctx)
পিএইচপি
$rangeQuery = $citiesRef->where('country', 'in', ['USA', 'Japan']);
ঐক্য
CollectionReference citiesRef = db.Collection("cities");
List countriesList = new List<object>() {"USA", "Japan"};

Query whereInQuery = citiesRef.WhereIn("country", countriesList);
সি#
Query query = citiesRef.WhereIn("Country", new[] { "USA", "Japan" });
রুবি
cities_ref = firestore.col collection_path
usr_or_japan = cities_ref.where "country", "in", ["USA", "Japan"]

এই প্রশ্নটি প্রতিটি city নথি প্রদান করে যেখানে country ক্ষেত্রটি USA বা Japan সেট করা আছে। উদাহরণের ডেটা থেকে, এতে SF , LA , DC , এবং TOK নথি অন্তর্ভুক্ত রয়েছে৷

not-in

লজিক্যাল AND এর সাথে একই ক্ষেত্রে 10টি সমান ( != ) ক্লজ একত্রিত করতে নট not-in অপারেটর ব্যবহার করুন। একটি নট not-in ক্যোয়ারী নথি প্রদান করে যেখানে প্রদত্ত ক্ষেত্রটি বিদ্যমান, null নয় এবং তুলনামূলক মানের কোনোটির সাথে মেলে না। উদাহরণ স্বরূপ:

Web version 9

import { query, where } from "firebase/firestore";

const q = query(citiesRef, where('country', 'not-in', ['USA', 'Japan']));

Web version 8

citiesRef.where('country', 'not-in', ['USA', 'Japan']);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
citiesRef.whereField("country", notIn: ["USA", "Japan"])
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[citiesRef queryWhereField:@"country" notIn:@[@"USA", @"Japan"]];

Java

citiesRef.whereNotIn("country", Arrays.asList("USA", "Japan"));

Kotlin+KTX

citiesRef.whereNotIn("country", listOf("USA", "Japan"))

Dart

final citiesRef = db.collection("cities");
final cities = citiesRef.where("country", whereNotIn: ["USA", "Japan"]);
জাভা
CollectionReference citiesRef = db.collection("cities");

Query query = citiesRef.whereNotIn("country", Arrays.asList("USA", "Japan"));
পাইথন
// Snippet not yet available
সি++
cities_ref.WhereNotIn("country", std::vector<FieldValue> {
  FieldValue::String("USA"),
  FieldValue::String("Japan")
});
Node.js
const notUsaOrJapan = await citiesRef.where('country', 'not-in', ['USA', 'Japan']).get();
যাওয়া
// Snippet not yet available
পিএইচপি
$stateQuery = $citiesRef->where(
    'country',
    \Google\Cloud\Firestore\V1\StructuredQuery\FieldFilter\Operator::NOT_IN,
    ['USA', 'Japan']
);
ঐক্য
// Snippet not yet available
সি#
// Snippet not yet available
রুবি
cities_ref = firestore.col collection_path
usr_or_japan = cities_ref.where "country", "not_in", ["USA", "Japan"]

এই ক্যোয়ারীটি প্রতিটি city নথি প্রদান করে যেখানে country ক্ষেত্রটি বিদ্যমান এবং USA , Japan , বা null সেট করা নেই। উদাহরণের তথ্য থেকে, এতে London এবং Hong Kong নথি অন্তর্ভুক্ত রয়েছে।

নট not-in কোয়েরি নথি বাদ দেয় যেখানে প্রদত্ত ক্ষেত্রটি বিদ্যমান নেই। একটি ক্ষেত্র বিদ্যমান থাকে যখন এটি একটি খালি স্ট্রিং ( "" ), null , এবং NaN (কোন সংখ্যা নয়) সহ যেকোনো মানতে সেট করা থাকে। উল্লেখ্য যে x != null মূল্যায়ন করে undefined . তুলনামূলক মানগুলির মধ্যে একটি হিসাবে null সহ একটি নট not-in কোয়েরি কোনো নথির সাথে মেলে না।

array-contains-any

একটি লজিক্যাল OR এর সাথে একই ক্ষেত্রে 10টি পর্যন্ত array-contains ধারাগুলিকে একত্রিত করতে array-contains-any অপারেটর ব্যবহার করুন। একটি array-contains-any কোয়েরি নথি প্রদান করে যেখানে প্রদত্ত ক্ষেত্রটি একটি অ্যারে যা এক বা একাধিক তুলনা মান ধারণ করে:

Web version 9

import { query, where } from "firebase/firestore";  

const q = query(citiesRef, 
  where('regions', 'array-contains-any', ['west_coast', 'east_coast']));

Web version 8

citiesRef.where('regions', 'array-contains-any',
    ['west_coast', 'east_coast']);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
let citiesRef = db.collection("cities")
citiesRef.whereField("regions", arrayContainsAny: ["west_coast", "east_coast"])
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
FIRCollectionReference *citiesRef = [self.db collectionWithPath:@"cities"];

[citiesRef queryWhereField:@"regions" arrayContainsAny:@[@"west_coast", @"east_coast"]];

Java

CollectionReference citiesRef = db.collection("cities");

citiesRef.whereArrayContainsAny("regions", Arrays.asList("west_coast", "east_coast"));

Kotlin+KTX

val citiesRef = db.collection("cities")

citiesRef.whereArrayContainsAny("regions", listOf("west_coast", "east_coast"))

Dart

final citiesRef = db.collection("cities");
final cities = citiesRef
    .where("regions", arrayContainsAny: ["west_coast", "east_coast"]);
জাভা
CollectionReference citiesRef = db.collection("cities");

Query query =
    citiesRef.whereArrayContainsAny("regions", Arrays.asList("west_coast", "east_coast"));
পাইথন
cities_ref = db.collection(u'cities')

query = cities_ref.where(
    u'regions', u'array_contains_any', [u'west_coast', u'east_coast']
)
return query

Python

cities_ref = db.collection("cities")

query = cities_ref.where(
    "regions", "array_contains_any", ["west_coast", "east_coast"]
)
return query
সি++
CollectionReference cities_ref = db->Collection("cities");

cities_ref.WhereArrayContainsAny("region", std::vector<FieldValue> {
  FieldValue::String("west_coast"),
  FieldValue::String("east_coast")
});
Node.js
const coastalCities = await citiesRef.where('regions', 'array-contains-any',
    ['west_coast', 'east_coast']).get();
যাওয়া
cities := client.Collection("cities")
query := cities.Where("regions", "array-contains-any", []string{"west_coast", "east_coast"}).Documents(ctx)
পিএইচপি
$containsQuery = $citiesRef->where('regions', 'array-contains-any', ['west_coast', 'east_coast']);
ঐক্য
CollectionReference citiesRef = db.Collection("cities");
List regionsList = new List<object>() {"west_coast", "east_coast"};

Query arrayContainsAnyQuery = citiesRef.WhereArrayContainsAny("regions", regionsList);
সি#
Query query = citiesRef.WhereArrayContainsAny("Regions", new[] { "west_coast", "east_coast" });
রুবি
cities_ref = firestore.col collection_path
costal_cities = cities_ref.where "regions", "array-contains-any", ["west_coast", "east_coast"]

এই ক্যোয়ারীটি প্রতিটি শহরের নথি প্রদান করে যেখানে regions ক্ষেত্রটি একটি অ্যারে যা west_coast বা east_coast ধারণ করে। উদাহরণের ডেটা থেকে, এতে SF , LA , এবং DC নথি অন্তর্ভুক্ত রয়েছে৷

array-contains-any any-এর ফলাফল ডি-ডুপ করা হয়। এমনকি যদি একটি নথির অ্যারে ক্ষেত্র তুলনামূলক মানগুলির একটির বেশি মেলে, ফলাফল সেটে সেই নথিটি শুধুমাত্র একবারই অন্তর্ভুক্ত থাকে।

array-contains-any সবসময় অ্যারের ডেটা টাইপ দ্বারা ফিল্টার করে। উদাহরণস্বরূপ, উপরের ক্যোয়ারীটি একটি শহরের নথি প্রদান করবে না যেখানে একটি অ্যারের পরিবর্তে, regions ক্ষেত্রটি স্ট্রিং west_coast

আপনি in একটি তুলনা মান হিসাবে একটি অ্যারের মান ব্যবহার করতে পারেন, কিন্তু array-contains-any বিপরীতে, ধারাটি অ্যারের দৈর্ঘ্য, ক্রম এবং মানগুলির সঠিক মিলের জন্য মেলে। উদাহরণ স্বরূপ:

Web version 9

import { query, where } from "firebase/firestore";  

const q = query(citiesRef, where('regions', 'in', [['west_coast', 'east_coast']]));

Web version 8

citiesRef.where('regions', 'in',
    [['west_coast', 'east_coast']]);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
citiesRef.whereField("regions", in: [["west_coast"], ["east_coast"]]);
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[citiesRef queryWhereField:@"regions" in:@[@[@"west_coast"], @[@"east_coast"]]];

Java

citiesRef.whereIn("regions", Arrays.asList(new String[]{"west_coast"}, new String[]{"east_coast"}));

Kotlin+KTX

citiesRef.whereIn("regions", listOf(arrayOf("west_coast"), arrayOf("east_coast")))

Dart

final citiesRef = db.collection("cities");
final cities = citiesRef.where("regions", whereIn: [
  ["west_coast"],
  ["east_coast"]
]);
জাভা
CollectionReference citiesRef = db.collection("cities");

Query query =
    citiesRef.whereIn(
        "regions", Arrays.asList(Arrays.asList("west_coast"), Arrays.asList("east_coast")));
পাইথন
cities_ref = db.collection(u'cities')

query = cities_ref.where(
    u'regions', u'in', [[u'west_coast'], [u'east_coast']]
)
return query

Python

cities_ref = db.collection("cities")

query = cities_ref.where("regions", "in", [["west_coast"], ["east_coast"]])
return query
সি++
cities_ref.WhereIn("region", std::vector<FieldValue> {
  FieldValue::String("west_coast"),
  FieldValue::String("east_coast")
});
Node.js
const exactlyOneCoast = await citiesRef.where('regions', 'in',
    [['west_coast', 'east_coast']]).get();
যাওয়া
cities := client.Collection("cities")
query := cities.Where("regions", "in", [][]string{{"west_coast"}, {"east_coast"}}).Documents(ctx)
পিএইচপি
$rangeQuery = $citiesRef->where('regions', 'in', [['west_coast'], ['east_coast']]);
ঐক্য
// Not yet supported in the Unity SDK
সি#
Query query = citiesRef.WhereIn("Regions",
    new[] { new[] { "west_coast" }, new[] { "east_coast" } });
রুবি
cities_ref = firestore.col collection_path
exactly_one_cost = cities_ref.where "regions", "in", [["west_coast"], ["east_coast"]]

এই ক্যোয়ারীটি প্রতিটি শহরের নথি প্রদান করে যেখানে regions ক্ষেত্রটি একটি অ্যারে যা west_coast বা east_coast এর ঠিক একটি উপাদান ধারণ করে। উদাহরণের তথ্য থেকে, শুধুমাত্র DC নথিটি তার ["east_coast"] regions ক্ষেত্রের সাথে যোগ্যতা অর্জন করে। SF নথিটি অবশ্য মেলে না কারণ এর regions ক্ষেত্র হল ["west_coast", "norcal"]

সীমাবদ্ধতা

in , not-in , এবং array-contains-any any-এর জন্য নিম্নলিখিত সীমাবদ্ধতাগুলি নোট করুন:

  • in , not-in , এবং array-contains-any সমর্থন।
  • আপনি প্রতি ক্যোয়ারীতে সর্বাধিক একটি array-contains ধারা ব্যবহার করতে পারেন। আপনি array-contains সাথে array-contains-any any একত্রিত করতে পারবেন না।
  • আপনি ক্যোয়ারী প্রতি , নট not-in in বা array-contains-any ধারা-তে সর্বাধিক একটি ব্যবহার করতে পারেন। আপনি একই প্রশ্নে এই অপারেটরগুলিকে একত্রিত করতে পারবেন না।
  • আপনি not-in সাথে not equals != এর সাথে একত্রিত করতে পারবেন না।
  • আপনি সমতা ( == ) বা ধারায় in একটি ক্ষেত্র দ্বারা আপনার ক্যোয়ারী অর্ডার করতে পারবেন না।

যৌগিক প্রশ্ন

আপনি একাধিক সমতা অপারেটর চেইন করতে পারেন ( == বা array-contains করে) পদ্ধতিগুলি আরও নির্দিষ্ট প্রশ্ন তৈরি করতে (যৌক্তিক AND )। যাইহোক, অসমতা অপারেটর, < , <= , > , এবং != এর সাথে সমতা অপারেটরকে একত্রিত করতে আপনাকে অবশ্যই একটি যৌগিক সূচক তৈরি করতে হবে।

Web version 9

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 version 8

const q1 = citiesRef.where("state", "==", "CO").where("name", "==", "Denver");
const q2 = citiesRef.where("state", "==", "CA").where("population", "<", 1000000);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
citiesRef
    .whereField("state", isEqualTo: "CO")
    .whereField("name", isEqualTo: "Denver")
citiesRef
    .whereField("state", isEqualTo: "CA")
    .whereField("population", isLessThan: 1000000)
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[[citiesRef queryWhereField:@"state" isEqualTo:@"CO"]
    queryWhereField:@"name" isGreaterThanOrEqualTo:@"Denver"];
[[citiesRef queryWhereField:@"state" isEqualTo:@"CA"]
    queryWhereField:@"population" isLessThan:@1000000];

Java

citiesRef.whereEqualTo("state", "CO").whereEqualTo("name", "Denver");
citiesRef.whereEqualTo("state", "CA").whereLessThan("population", 1000000);

Kotlin+KTX

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);
জাভা
Query chainedQuery1 = cities.whereEqualTo("state", "CO").whereEqualTo("name", "Denver");
পাইথন
cities_ref = db.collection(u'cities')

denver_query = cities_ref.where(
    u'state', u'==', u'CO').where(u'name', u'==', u'Denver')
large_us_cities_query = cities_ref.where(
    u'state', u'==', u'CA').where(u'population', u'>', 1000000)

Python

cities_ref = db.collection("cities")

denver_query = cities_ref.where("state", "==", "CO").where("name", "==", "Denver")
large_us_cities_query = cities_ref.where("state", "==", "CA").where(
    "population", ">", 1000000
)
সি++
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
citiesRef.where('state', '==', 'CO').where('name', '==', 'Denver');
citiesRef.where('state', '==', 'CA').where('population', '<', 1000000);
যাওয়া
denverQuery := cities.Where("name", "==", "Denver").Where("state", "==", "CO")
caliQuery := cities.Where("state", "==", "CA").Where("population", "<=", 1000000)
query := cities.Where("country", "==", "USA").Where("population", ">", 5000000)
পিএইচপি
$chainedQuery = $citiesRef
    ->where('state', '=', 'CA')
    ->where('name', '=', 'San Francisco');
ঐক্য
Query chainedQuery = citiesRef
    .WhereEqualTo("State", "CA")
    .WhereEqualTo("Name", "San Francisco");
সি#
Query chainedQuery = citiesRef
    .WhereEqualTo("State", "CA")
    .WhereEqualTo("Name", "San Francisco");
রুবি
chained_query = cities_ref.where("state", "=", "CA").where("name", "=", "San Francisco")

আপনি পরিসীমা ( < , <= , > , >= ) সম্পাদন করতে পারেন বা শুধুমাত্র একটি ক্ষেত্রে ( != ) তুলনা করতে পারেন না এবং আপনি একটি যৌগিক ক্যোয়ারীতে সর্বাধিক একটি array-contains করে বা array-contains-any ধারা অন্তর্ভুক্ত করতে পারেন :

বৈধ : শুধুমাত্র একটি ক্ষেত্রে পরিসীমা ফিল্টার

Web version 9

import { query, where } from "firebase/firestore";  

const q1 = query(citiesRef, where("state", ">=", "CA"), where("state", "<=", "IN"));
const q2 = query(citiesRef, where("state", "==", "CA"), where("population", ">", 1000000));

Web version 8

const q1 = citiesRef.where("state", ">=", "CA").where("state", "<=", "IN");
const q2 = citiesRef.where("state", "==", "CA").where("population", ">", 1000000);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
citiesRef
    .whereField("state", isGreaterThanOrEqualTo: "CA")
    .whereField("state", isLessThanOrEqualTo: "IN")
citiesRef
    .whereField("state", isEqualTo: "CA")
    .whereField("population", isGreaterThan: 1000000)
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[[citiesRef queryWhereField:@"state" isGreaterThanOrEqualTo:@"CA"]
    queryWhereField:@"state" isLessThanOrEqualTo:@"IN"];
[[citiesRef queryWhereField:@"state" isEqualTo:@"CA"]
    queryWhereField:@"population" isGreaterThan:@1000000];

Java

citiesRef.whereGreaterThanOrEqualTo("state", "CA")
        .whereLessThanOrEqualTo("state", "IN");
citiesRef.whereEqualTo("state", "CA")
        .whereGreaterThan("population", 1000000);

Kotlin+KTX

citiesRef.whereGreaterThanOrEqualTo("state", "CA")
        .whereLessThanOrEqualTo("state", "IN")
citiesRef.whereEqualTo("state", "CA")
        .whereGreaterThan("population", 1000000)

Dart

final citiesRef = db.collection("cities");
citiesRef
    .where("state", isGreaterThanOrEqualTo: "CA")
    .where("state", isLessThanOrEqualTo: "IN");
citiesRef
    .where("state", isEqualTo: "CA")
    .where("population", isGreaterThan: 1000000);
জাভা
Query validQuery1 =
    cities.whereGreaterThanOrEqualTo("state", "CA").whereLessThanOrEqualTo("state", "IN");
Query validQuery2 = cities.whereEqualTo("state", "CA").whereGreaterThan("population", 1000000);
পাইথন
cities_ref = db.collection(u'cities')
cities_ref.where(u'state', u'>=', u'CA').where(u'state', u'<=', u'IN')

Python

cities_ref = db.collection("cities")
cities_ref.where("state", ">=", "CA").where("state", "<=", "IN")
সি++
cities_ref.WhereGreaterThanOrEqualTo("state", FieldValue::String("CA"))
    .WhereLessThanOrEqualTo("state", FieldValue::String("IN"));
cities_ref.WhereEqualTo("state", FieldValue::String("CA"))
    .WhereGreaterThan("population", FieldValue::Integer(1000000));
Node.js
citiesRef.where('state', '>=', 'CA').where('state', '<=', 'IN');
citiesRef.where('state', '==', 'CA').where('population', '>', 1000000);
যাওয়া
stateQuery := cities.Where("state", ">=", "CA").Where("state", "<", "IN")
populationQuery := cities.Where("state", "==", "CA").Where("population", ">", 1000000)
পিএইচপি
$rangeQuery = $citiesRef
    ->where('state', '>=', 'CA')
    ->where('state', '<=', 'IN');
ঐক্য
Query rangeQuery = citiesRef
    .WhereGreaterThanOrEqualTo("State", "CA")
    .WhereLessThanOrEqualTo("State", "IN");
সি#
Query rangeQuery = citiesRef
    .WhereGreaterThanOrEqualTo("State", "CA")
    .WhereLessThanOrEqualTo("State", "IN");
রুবি
range_query = cities_ref.where("state", ">=", "CA").where("state", "<=", "IN")

অবৈধ : বিভিন্ন ক্ষেত্রে পরিসীমা ফিল্টার

Web version 9

import { query, where } from "firebase/firestore";  

const q = query(citiesRef, where("state", ">=", "CA"), where("population", ">", 100000));

Web version 8

citiesRef.where("state", ">=", "CA").where("population", ">", 100000);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
citiesRef
    .whereField("state", isGreaterThanOrEqualTo: "CA")
    .whereField("population", isGreaterThan: 1000000)
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[[citiesRef queryWhereField:@"state" isGreaterThanOrEqualTo:@"CA"]
    queryWhereField:@"population" isGreaterThan:@1000000];

Java

citiesRef.whereGreaterThanOrEqualTo("state", "CA").whereGreaterThan("population", 100000);

Kotlin+KTX

citiesRef.whereGreaterThanOrEqualTo("state", "CA")
        .whereGreaterThan("population", 100000)

Dart

final citiesRef = db.collection("cities");
citiesRef
    .where("state", isGreaterThanOrEqualTo: "CA")
    .where("population", isGreaterThan: 1000000);
জাভা
Query invalidRangeQuery =
    cities.whereGreaterThanOrEqualTo("state", "CA").whereGreaterThan("population", 100000);
পাইথন
cities_ref = db.collection(u'cities')
cities_ref.where(
    u'state', u'>=', u'CA').where(u'population', u'>=', 1000000)

Python

cities_ref = db.collection("cities")
cities_ref.where("state", ">=", "CA").where("population", ">=", 1000000)
সি++
// BAD EXAMPLE -- will crash the program:
cities_ref.WhereGreaterThanOrEqualTo("state", FieldValue::String("CA"))
    .WhereGreaterThan("population", FieldValue::Integer(100000));
Node.js
citiesRef.where('state', '>=', 'CA').where('population', '>', 1000000);
যাওয়া
query := cities.Where("state", ">=", "CA").Where("population", ">", 1000000)
পিএইচপি
$invalidRangeQuery = $citiesRef
    ->where('state', '>=', 'CA')
    ->where('population', '>', 1000000);
ঐক্য
Query invalidRangeQuery = citiesRef
    .WhereGreaterThanOrEqualTo("State", "CA")
    .WhereGreaterThan("Population", 1000000);
সি#
Query invalidRangeQuery = citiesRef
    .WhereGreaterThanOrEqualTo("State", "CA")
    .WhereGreaterThan("Population", 1000000);
রুবি
invalid_range_query = cities_ref.where("state", ">=", "CA").where("population", ">", 1_000_000)

সংগ্রহ গ্রুপ প্রশ্ন

একটি সংগ্রহ গ্রুপ একই আইডি সহ সমস্ত সংগ্রহ নিয়ে গঠিত। ডিফল্টরূপে, প্রশ্নগুলি আপনার ডাটাবেসের একটি একক সংগ্রহ থেকে ফলাফল পুনরুদ্ধার করে। একক সংগ্রহের পরিবর্তে একটি সংগ্রহ গোষ্ঠী থেকে নথি পুনরুদ্ধার করতে একটি সংগ্রহ গোষ্ঠী ক্যোয়ারী ব্যবহার করুন৷

উদাহরণস্বরূপ, আপনি প্রতিটি শহরে একটি ল্যান্ডমার্ক সাব-কলেকশন যোগ করে একটি landmarks সংগ্রহ গ্রুপ তৈরি করতে পারেন:

Web version 9

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 version 8

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'
    })
]);
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
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)
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
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];

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);

Kotlin+KTX

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)

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);
জাভা
CollectionReference cities = db.collection("cities");

final List<ApiFuture<WriteResult>> futures =
    Arrays.asList(
        cities
            .document("SF")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Golden Gate Bridge");
                    put("type", "bridge");
                  }
                }),
        cities
            .document("SF")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Legion of Honor");
                    put("type", "museum");
                  }
                }),
        cities
            .document("LA")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Griffith Park");
                    put("type", "park");
                  }
                }),
        cities
            .document("LA")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "The Getty");
                    put("type", "museum");
                  }
                }),
        cities
            .document("DC")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Lincoln Memorial");
                    put("type", "memorial");
                  }
                }),
        cities
            .document("DC")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "National Air and Space Museum");
                    put("type", "museum");
                  }
                }),
        cities
            .document("TOK")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Ueno Park");
                    put("type", "park");
                  }
                }),
        cities
            .document("TOK")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "National Museum of Nature and Science");
                    put("type", "museum");
                  }
                }),
        cities
            .document("BJ")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Jingshan Park");
                    put("type", "park");
                  }
                }),
        cities
            .document("BJ")
            .collection("landmarks")
            .document()
            .set(
                new HashMap<String, String>() {
                  {
                    put("name", "Beijing Ancient Observatory");
                    put("type", "museum");
                  }
                }));
final List<WriteResult> landmarks = ApiFutures.allAsList(futures).get();
পাইথন
cities = db.collection(u'cities')

sf_landmarks = cities.document(u'SF').collection(u'landmarks')
sf_landmarks.document().set({
    u'name': u'Golden Gate Bridge',
    u'type': u'bridge'
})
sf_landmarks.document().set({
    u'name': u'Legion of Honor',
    u'type': u'museum'
})
la_landmarks = cities.document(u'LA').collection(u'landmarks')
la_landmarks.document().set({
    u'name': u'Griffith Park',
    u'type': u'park'
})
la_landmarks.document().set({
    u'name': u'The Getty',
    u'type': u'museum'
})
dc_landmarks = cities.document(u'DC').collection(u'landmarks')
dc_landmarks.document().set({
    u'name': u'Lincoln Memorial',
    u'type': u'memorial'
})
dc_landmarks.document().set({
    u'name': u'National Air and Space Museum',
    u'type': u'museum'
})
tok_landmarks = cities.document(u'TOK').collection(u'landmarks')
tok_landmarks.document().set({
    u'name': u'Ueno Park',
    u'type': u'park'
})
tok_landmarks.document().set({
    u'name': u'National Museum of Nature and Science',
    u'type': u'museum'
})
bj_landmarks = cities.document(u'BJ').collection(u'landmarks')
bj_landmarks.document().set({
    u'name': u'Jingshan Park',
    u'type': u'park'
})
bj_landmarks.document().set({
    u'name': u'Beijing Ancient Observatory',
    u'type': u'museum'
})

Python

cities = db.collection("cities")

sf_landmarks = cities.document("SF").collection("landmarks")
await sf_landmarks.document().set({"name": "Golden Gate Bridge", "type": "bridge"})
await sf_landmarks.document().set({"name": "Legion of Honor", "type": "museum"})
la_landmarks = cities.document("LA").collection("landmarks")
await la_landmarks.document().set({"name": "Griffith Park", "type": "park"})
await la_landmarks.document().set({"name": "The Getty", "type": "museum"})
dc_landmarks = cities.document("DC").collection("landmarks")
await dc_landmarks.document().set({"name": "Lincoln Memorial", "type": "memorial"})
await dc_landmarks.document().set(
    {"name": "National Air and Space Museum", "type": "museum"}
)
tok_landmarks = cities.document("TOK").collection("landmarks")
await tok_landmarks.document().set({"name": "Ueno Park", "type": "park"})
await tok_landmarks.document().set(
    {"name": "National Museum of Nature and Science", "type": "museum"}
)
bj_landmarks = cities.document("BJ").collection("landmarks")
await bj_landmarks.document().set({"name": "Jingshan Park", "type": "park"})
await bj_landmarks.document().set(
    {"name": "Beijing Ancient Observatory", "type": "museum"}
)
সি++
// This is not yet supported.
Node.js
const citiesRef = db.collection('cities');

await citiesRef.doc('SF').collection('landmarks').doc().set({
  name: 'Golden Gate Bridge',
  type: 'bridge'
});
await citiesRef.doc('SF').collection('landmarks').doc().set({
  name: 'Legion of Honor',
  type: 'museum'
});
await citiesRef.doc('LA').collection('landmarks').doc().set({
  name: 'Griffith Park',
  type: 'park'
});
await citiesRef.doc('LA').collection('landmarks').doc().set({
  name: 'The Getty',
  type: 'museum'
});
await citiesRef.doc('DC').collection('landmarks').doc().set({
  name: 'Lincoln Memorial',
  type: 'memorial'
});
await citiesRef.doc('DC').collection('landmarks').doc().set({
  name: 'National Air and Space Museum',
  type: 'museum'
});
await citiesRef.doc('TOK').collection('landmarks').doc().set({
  name: 'Ueno Park',
  type: 'park'
});
await citiesRef.doc('TOK').collection('landmarks').doc().set({
  name: 'National Museum of Nature and Science',
  type: 'museum'
});
await citiesRef.doc('BJ').collection('landmarks').doc().set({
  name: 'Jingshan Park',
  type: 'park'
});
await citiesRef.doc('BJ').collection('landmarks').doc().set({ 
  name: 'Beijing Ancient Observatory',
  type: 'museum'
});
যাওয়া
import (
	"context"
	"fmt"

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

// collectionGroupSetup sets up a collection group to query.
func collectionGroupSetup(projectID, cityCollection string) error {
	ctx := context.Background()

	client, err := firestore.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("firestore.NewClient: %v", err)
	}
	defer client.Close()

	landmarks := []struct {
		city, name, t string
	}{
		{"SF", "Golden Gate Bridge", "bridge"},
		{"SF", "Legion of Honor", "museum"},
		{"LA", "Griffith Park", "park"},
		{"LA", "The Getty", "museum"},
		{"DC", "Lincoln Memorial", "memorial"},
		{"DC", "National Air and Space Museum", "museum"},
		{"TOK", "Ueno Park", "park"},
		{"TOK", "National Museum of Nature and Science", "museum"},
		{"BJ", "Jingshan Park", "park"},
		{"BJ", "Beijing Ancient Observatory", "museum"},
	}

	cities := client.Collection(cityCollection)
	for _, l := range landmarks {
		if _, err := cities.Doc(l.city).Collection("landmarks").NewDoc().Set(ctx, map[string]string{
			"name": l.name,
			"type": l.t,
		}); err != nil {
			return fmt.Errorf("Set: %v", err)
		}
	}

	return nil
}
পিএইচপি
$citiesRef = $db->collection('samples/php/cities');
$citiesRef->document('SF')->collection('landmarks')->newDocument()->set([
    'name' => 'Golden Gate Bridge',
    'type' => 'bridge'
]);
$citiesRef->document('SF')->collection('landmarks')->newDocument()->set([
    'name' => 'Legion of Honor',
    'type' => 'museum'
]);
$citiesRef->document('LA')->collection('landmarks')->newDocument()->set([
    'name' => 'Griffith Park',
    'type' => 'park'
]);
$citiesRef->document('LA')->collection('landmarks')->newDocument()->set([
    'name' => 'The Getty',
    'type' => 'museum'
]);
$citiesRef->document('DC')->collection('landmarks')->newDocument()->set([
    'name' => 'Lincoln Memorial',
    'type' => 'memorial'
]);
$citiesRef->document('DC')->collection('landmarks')->newDocument()->set([
    'name' => 'National Air and Space Museum',
    'type' => 'museum'
]);
$citiesRef->document('TOK')->collection('landmarks')->newDocument()->set([
    'name' => 'Ueno Park',
    'type' => 'park'
]);
$citiesRef->document('TOK')->collection('landmarks')->newDocument()->set([
    'name' => 'National Museum of Nature and Science',
    'type' => 'museum'
]);
$citiesRef->document('BJ')->collection('landmarks')->newDocument()->set([
    'name' => 'Jingshan Park',
    'type' => 'park'
]);
$citiesRef->document('BJ')->collection('landmarks')->newDocument()->set([
    'name' => 'Beijing Ancient Observatory',
    'type' => 'museum'
]);
print('Added example landmarks collections to the cities collection.' . PHP_EOL);
ঐক্য
// Not yet supported in the Unity SDK
সি#
await citiesRef.Document("SF").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Golden Gate Bridge", Type = "bridge" });
await citiesRef.Document("SF").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Legion of Honor", Type = "museum" });
await citiesRef.Document("LA").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Griffith Park", Type = "park" });
await citiesRef.Document("DC").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Lincoln Memorial", Type = "memorial" });
await citiesRef.Document("DC").Collection("landmarks").Document()
    .CreateAsync(new { Name = "National Air And Space Museum", Type = "museum" });
await citiesRef.Document("TOK").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Ueno Park", Type = "park" });
await citiesRef.Document("TOK").Collection("landmarks").Document()
    .CreateAsync(new { Name = "National Museum of Nature and Science", Type = "museum" });
await citiesRef.Document("BJ").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Jingshan Park", Type = "park" });
await citiesRef.Document("BJ").Collection("landmarks").Document()
    .CreateAsync(new { Name = "Beijing Ancient Observatory", Type = "museum" });
রুবি
cities_ref = firestore.col collection_path

sf_landmarks = cities_ref.document("SF").collection("landmarks")
sf_landmarks.document.set(
  {
    name: "Golden Gate Bridge",
    type: "bridge"
  }
)
sf_landmarks.document.set(
  {
    name: "Legion of Honor",
    type: "museum"
  }
)

la_landmarks = cities_ref.document("LA").collection("landmarks")
la_landmarks.document.set(
  {
    name: "Griffith Park",
    type: "park"
  }
)
la_landmarks.document.set(
  {
    name: "The Getty",
    type: "museum"
  }
)

dc_landmarks = cities_ref.document("DC").collection("landmarks")
dc_landmarks.document.set(
  {
    name: "Lincoln Memorial",
    type: "memorial"
  }
)
dc_landmarks.document.set(
  {
    name: "National Air and Space Museum",
    type: "museum"
  }
)

tok_landmarks = cities_ref.document("TOK").collection("landmarks")
tok_landmarks.document.set(
  {
    name: "Ueno Park",
    type: "park"
  }
)
tok_landmarks.document.set(
  {
    name: "National Museum of Nature and Science",
    type: "museum"
  }
)

bj_landmarks = cities_ref.document("BJ").collection("landmarks")
bj_landmarks.document.set(
  {
    name: "Jingshan Park",
    type: "park"
  }
)
bj_landmarks.document.set(
  {
    name: "Beijing Ancient Observatory",
    type: "museum"
  }
)

আমরা একটি একক শহরের landmarks উপ-সংগ্রহের জন্য আগে বর্ণিত সহজ এবং যৌগিক ক্যোয়ারী ব্যবহার করতে পারি, তবে আপনি প্রতিটি শহরের landmarks উপ-সংগ্রহ থেকে একবারে ফলাফল পুনরুদ্ধার করতে চাইতে পারেন।

landmarks সংগ্রহ গ্রুপে আইডি landmarks সহ সমস্ত সংগ্রহ রয়েছে এবং আপনি একটি সংগ্রহ গ্রুপ ক্যোয়ারী ব্যবহার করে এটি অনুসন্ধান করতে পারেন। উদাহরণ স্বরূপ, এই সংগ্রহের গ্রুপ কোয়েরিটি সমস্ত শহর জুড়ে সমস্ত museum ল্যান্ডমার্ক পুনরুদ্ধার করে:

Web version 9

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 version 8

var museums = db.collectionGroup('landmarks').where('type', '==', 'museum');
museums.get().then((querySnapshot) => {
    querySnapshot.forEach((doc) => {
        console.log(doc.id, ' => ', doc.data());
    });
});
সুইফট
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
db.collectionGroup("landmarks").whereField("type", isEqualTo: "museum").getDocuments { (snapshot, error) in
    // ...
}
উদ্দেশ্য গ
দ্রষ্টব্য: এই পণ্যটি watchOS এবং অ্যাপ ক্লিপ লক্ষ্যে উপলব্ধ নয়।
[[[self.db collectionGroupWithID:@"landmarks"] queryWhereField:@"type" isEqualTo:@"museum"]
    getDocumentsWithCompletion:^(FIRQuerySnapshot *snapshot, NSError *error) {
    // ...
}];

Java

db.collectionGroup("landmarks").whereEqualTo("type", "museum").get()
        .addOnSuccessListener(new OnSuccessListener<QuerySnapshot>() {
            @Override
            public void onSuccess(QuerySnapshot queryDocumentSnapshots) {
                // ...
            }
        });

Kotlin+KTX

db.collectionGroup("landmarks").whereEqualTo("type", "museum").get()
        .addOnSuccessListener { queryDocumentSnapshots ->
            // ...
        }

Dart

db
    .collectionGroup("landmarks")
    .where("type", isEqualTo: "museum")
    .get()
    .then(
      (res) => print("Successfully completed"),
      onError: (e) => print("Error completing: $e"),
    );
জাভা
final Query museums = db.collectionGroup("landmarks").whereEqualTo("type", "museum");
final ApiFuture<QuerySnapshot> querySnapshot = museums.get();
for (DocumentSnapshot document : querySnapshot.get().getDocuments()) {
  System.out.println(document.getId());
}
পাইথন
museums = db.collection_group(u'landmarks')\
    .where(u'type', u'==', u'museum')
docs = museums.stream()
for doc in docs:
    print(f'{doc.id} => {doc.to_dict()}')

Python

museums = db.collection_group("landmarks").where("type", "==", "museum")
docs = museums.stream()
async for doc in docs:
    print(f"{doc.id} => {doc.to_dict()}")
সি++
// This is not yet supported.
Node.js
const querySnapshot = await db.collectionGroup('landmarks').where('type', '==', 'museum').get();
querySnapshot.forEach((doc) => {
  console.log(doc.id, ' => ', doc.data());
});
যাওয়া
import (
	"context"
	"fmt"
	"io"

	"cloud.google.com/go/firestore"
	"google.golang.org/api/iterator"
)

// collectionGroupQuery runs a collection group query over the data created by
// collectionGroupSetup.
func collectionGroupQuery(w io.Writer, projectID string) error {
	ctx := context.Background()

	client, err := firestore.NewClient(ctx, projectID)
	if err != nil {
		return fmt.Errorf("firestore.NewClient: %v", err)
	}
	defer client.Close()

	it := client.CollectionGroup("landmarks").Where("type", "==", "museum").Documents(ctx)
	for {
		doc, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			return fmt.Errorf("documents iterator: %v", err)
		}
		fmt.Fprintf(w, "%s: %s", doc.Ref.ID, doc.Data()["name"])
	}

	return nil
}
পিএইচপি
$museums = $db->collectionGroup('landmarks')->where('type', '==', 'museum');
foreach ($museums->documents() as $document) {
    printf('%s => %s' . PHP_EOL, $document->id(), $document->data()['name']);
}
ঐক্য
// Not yet supported in the Unity SDK
সি#
Query museums = db.CollectionGroup("landmarks").WhereEqualTo("Type", "museum");
QuerySnapshot querySnapshot = await museums.GetSnapshotAsync();
foreach (DocumentSnapshot document in querySnapshot.Documents)
{
    Console.WriteLine($"{document.Reference.Path}: {document.GetValue<string>("Name")}");
}
রুবি
museums = firestore.collection_group("landmarks").where("type", "==", "museum")
museums.get do |museum|
  puts "#{museum[:type]} name is #{museum[:name]}."
end

একটি সংগ্রহ গ্রুপ ক্যোয়ারী ব্যবহার করার আগে, আপনাকে অবশ্যই একটি সূচী তৈরি করতে হবে যা আপনার সংগ্রহ গোষ্ঠীর ক্যোয়ারী সমর্থন করে। আপনি একটি ত্রুটি বার্তা, কনসোল বা Firebase CLI এর মাধ্যমে একটি সূচক তৈরি করতে পারেন

ওয়েব এবং মোবাইল SDK-এর জন্য, আপনাকে অবশ্যই এমন নিয়মগুলি তৈরি করতে হবে যা আপনার সংগ্রহ গোষ্ঠীর প্রশ্নগুলিকে অনুমতি দেয়

প্রশ্ন সীমাবদ্ধতা

নিম্নলিখিত তালিকাটি ক্লাউড ফায়ারস্টোর ক্যোয়ারী সীমাবদ্ধতাগুলিকে সংক্ষিপ্ত করে:

  • Cloud Firestore যৌক্তিক OR প্রশ্নের জন্য সীমিত সমর্থন প্রদান করে। in , এবং array-contains-any অপারেটর একটি লজিক্যাল OR সমর্থন করে 10 পর্যন্ত সমতা ( == ) বা array-contains করে একটি একক ক্ষেত্রের শর্ত। অন্যান্য ক্ষেত্রে, প্রতিটি OR শর্তের জন্য একটি পৃথক ক্যোয়ারী তৈরি করুন এবং আপনার অ্যাপে ক্যোয়ারী ফলাফল একত্রিত করুন।
  • একটি যৌগিক ক্যোয়ারীতে, পরিসর ( < , <= , > , >= ) এবং সমান নয় ( != , নট not-in ) তুলনাগুলি অবশ্যই একই ক্ষেত্রে ফিল্টার করতে হবে।
  • আপনি প্রতি ক্যোয়ারীতে সর্বাধিক একটি array-contains ধারা ব্যবহার করতে পারেন। আপনি array-contains সাথে array-contains-any any একত্রিত করতে পারবেন না।
  • আপনি ক্যোয়ারী প্রতি , নট not-in in বা array-contains-any ধারা-তে সর্বাধিক একটি ব্যবহার করতে পারেন। আপনি একই ক্যোয়ারীতে , not-in , এবং array-contains-any any- in একত্রিত করতে পারবেন না।
  • আপনি একটি সমতা ( == ) বা ধারায় in একটি ক্ষেত্র দ্বারা আপনার ক্যোয়ারী অর্ডার করতে পারবেন না।
  • একটি ক্যোয়ারীতে ফিল্টার, সাজানোর অর্ডার এবং মূল নথির পাথের যোগফল (একটি উপ-সংগ্রহের জন্য 1, একটি রুট সংগ্রহের জন্য 0) 100-এর বেশি হতে পারে না।