Suporte contadores frequentes e distribuídos

Muitas apps em tempo real têm documentos que funcionam como contadores. Por exemplo, pode contar os "gostos" numa publicação ou os "favoritos" de um item específico.

No Firestore, não pode atualizar um único documento a uma taxa ilimitada. Se tiver um contador baseado num único documento e incrementos suficientemente frequentes, acabará por ver contenção nas atualizações do documento. Consulte o artigo Atualizações a um único documento.

Solução: contadores distribuídos

Para suportar atualizações de contadores mais frequentes, crie um contador distribuído. Cada contador é um documento com uma subcoleção de "fragmentos" e o valor do contador é a soma do valor dos fragmentos.

A taxa de transferência de escrita aumenta linearmente com o número de fragmentos, pelo que um contador distribuído com 10 fragmentos pode processar 10 vezes mais escritas do que um contador tradicional.

Web

// counters/${ID}
{
  "num_shards": NUM_SHARDS,
  "shards": [subcollection]
}

// counters/${ID}/shards/${NUM}
{
  "count": 123
}

Swift

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
// counters/${ID}
struct Counter {
  let numShards: Int

  init(numShards: Int) {
    self.numShards = numShards
  }
}

// counters/${ID}/shards/${NUM}
struct Shard {
  let count: Int

  init(count: Int) {
    self.count = count
  }
}

Objective-C

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
// counters/${ID}
@interface FIRCounter : NSObject
@property (nonatomic, readonly) NSInteger shardCount;
@end

@implementation FIRCounter
- (instancetype)initWithShardCount:(NSInteger)shardCount {
  self = [super init];
  if (self != nil) {
    _shardCount = shardCount;
  }
  return self;
}
@end

// counters/${ID}/shards/${NUM}
@interface FIRShard : NSObject
@property (nonatomic, readonly) NSInteger count;
@end

@implementation FIRShard
- (instancetype)initWithCount:(NSInteger)count {
  self = [super init];
  if (self != nil) {
    _count = count;
  }
  return self;
}
@end

Kotlin
Android

// counters/${ID}
data class Counter(var numShards: Int)

// counters/${ID}/shards/${NUM}
data class Shard(var count: Int)

Java
Android

// counters/${ID}
public class Counter {
    int numShards;

    public Counter(int numShards) {
        this.numShards = numShards;
    }
}

// counters/${ID}/shards/${NUM}
public class Shard {
    int count;

    public Shard(int count) {
        this.count = count;
    }
}

Python

import random

from google.cloud import firestore


class Shard:
    """
    A shard is a distributed counter. Each shard can support being incremented
    once per second. Multiple shards are needed within a Counter to allow
    more frequent incrementing.
    """

    def __init__(self):
        self._count = 0

    def to_dict(self):
        return {"count": self._count}


class Counter:
    """
    A counter stores a collection of shards which are
    summed to return a total count. This allows for more
    frequent incrementing than a single document.
    """

    def __init__(self, num_shards):
        self._num_shards = num_shards

Python
(assíncrono)

import random

from google.cloud import firestore


class Shard:
    """
    A shard is a distributed counter. Each shard can support being incremented
    once per second. Multiple shards are needed within a Counter to allow
    more frequent incrementing.
    """

    def __init__(self):
        self._count = 0

    def to_dict(self):
        return {"count": self._count}


class Counter:
    """
    A counter stores a collection of shards which are
    summed to return a total count. This allows for more
    frequent incrementing than a single document.
    """

    def __init__(self, num_shards):
        self._num_shards = num_shards

Node.js

Não aplicável. Consulte o fragmento de incremento do contador abaixo.

Go

import (
	"context"
	"fmt"
	"math/rand"
	"strconv"

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

// Counter is a collection of documents (shards)
// to realize counter with high frequency.
type Counter struct {
	numShards int
}

// Shard is a single counter, which is used in a group
// of other shards within Counter.
type Shard struct {
	Count int
}

PHP

Não aplicável. Consulte o fragmento de inicialização do contador abaixo.

C#

/// <summary>
/// Shard is a document that contains the count.
/// </summary>
[FirestoreData]
public class Shard
{
    [FirestoreProperty(name: "count")]
    public int Count { get; set; }
}

O código seguinte inicializa um contador distribuído:

Web

function createCounter(ref, num_shards) {
    var batch = db.batch();

    // Initialize the counter document
    batch.set(ref, { num_shards: num_shards });

    // Initialize each shard with count=0
    for (let i = 0; i < num_shards; i++) {
        const shardRef = ref.collection('shards').doc(i.toString());
        batch.set(shardRef, { count: 0 });
    }

    // Commit the write batch
    return batch.commit();
}

Swift

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
func createCounter(ref: DocumentReference, numShards: Int) async {
  do {
    try await ref.setData(["numShards": numShards])
    for i in 0...numShards {
      try await ref.collection("shards").document(String(i)).setData(["count": 0])
    }
  } catch {
    // ...
  }
}

Objective-C

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
- (void)createCounterAtReference:(FIRDocumentReference *)reference
                      shardCount:(NSInteger)shardCount {
  [reference setData:@{ @"numShards": @(shardCount) } completion:^(NSError * _Nullable error) {
    for (NSInteger i = 0; i < shardCount; i++) {
      NSString *shardName = [NSString stringWithFormat:@"%ld", (long)shardCount];
      [[[reference collectionWithPath:@"shards"] documentWithPath:shardName]
          setData:@{ @"count": @(0) }];
    }
  }];
}

Kotlin
Android

fun createCounter(ref: DocumentReference, numShards: Int): Task<Void> {
    // Initialize the counter document, then initialize each shard.
    return ref.set(Counter(numShards))
        .continueWithTask { task ->
            if (!task.isSuccessful) {
                throw task.exception!!
            }

            val tasks = arrayListOf<Task<Void>>()

            // Initialize each shard with count=0
            for (i in 0 until numShards) {
                val makeShard = ref.collection("shards")
                    .document(i.toString())
                    .set(Shard(0))

                tasks.add(makeShard)
            }

            Tasks.whenAll(tasks)
        }
}

Java
Android

public Task<Void> createCounter(final DocumentReference ref, final int numShards) {
    // Initialize the counter document, then initialize each shard.
    return ref.set(new Counter(numShards))
            .continueWithTask(new Continuation<Void, Task<Void>>() {
                @Override
                public Task<Void> then(@NonNull Task<Void> task) throws Exception {
                    if (!task.isSuccessful()) {
                        throw task.getException();
                    }

                    List<Task<Void>> tasks = new ArrayList<>();

                    // Initialize each shard with count=0
                    for (int i = 0; i < numShards; i++) {
                        Task<Void> makeShard = ref.collection("shards")
                                .document(String.valueOf(i))
                                .set(new Shard(0));

                        tasks.add(makeShard);
                    }

                    return Tasks.whenAll(tasks);
                }
            });
}

Python

def init_counter(self, doc_ref):
    """
    Create a given number of shards as
    subcollection of specified document.
    """
    col_ref = doc_ref.collection("shards")

    # Initialize each shard with count=0
    for num in range(self._num_shards):
        shard = Shard()
        col_ref.document(str(num)).set(shard.to_dict())

Python
(assíncrono)

async def init_counter(self, doc_ref):
    """
    Create a given number of shards as
    subcollection of specified document.
    """
    col_ref = doc_ref.collection("shards")

    # Initialize each shard with count=0
    for num in range(self._num_shards):
        shard = Shard()
        await col_ref.document(str(num)).set(shard.to_dict())

Node.js

Não aplicável. Consulte o fragmento de incremento do contador abaixo.

Go


// initCounter creates a given number of shards as
// subcollection of specified document.
func (c *Counter) initCounter(ctx context.Context, docRef *firestore.DocumentRef) error {
	colRef := docRef.Collection("shards")

	// Initialize each shard with count=0
	for num := 0; num < c.numShards; num++ {
		shard := Shard{0}

		if _, err := colRef.Doc(strconv.Itoa(num)).Set(ctx, shard); err != nil {
			return fmt.Errorf("Set: %w", err)
		}
	}
	return nil
}

PHP

$numShards = 10;
$ref = $db->collection('samples/php/distributedCounters');
for ($i = 0; $i < $numShards; $i++) {
    $doc = $ref->document((string) $i);
    $doc->set(['Cnt' => 0]);
}

C#

/// <summary>
/// Create a given number of shards as a
/// subcollection of specified document.
/// </summary>
/// <param name="docRef">The document reference <see cref="DocumentReference"/></param>
private static async Task CreateCounterAsync(DocumentReference docRef, int numOfShards)
{
    CollectionReference colRef = docRef.Collection("shards");
    var tasks = new List<Task>();
    // Initialize each shard with Count=0
    for (var i = 0; i < numOfShards; i++)
    {
        tasks.Add(colRef.Document(i.ToString()).SetAsync(new Shard() { Count = 0 }));
    }
    await Task.WhenAll(tasks);
}

Ruby

# project_id = "Your Google Cloud Project ID"
# num_shards = "Number of shards for distributed counter"
# collection_path = "shards"

require "google/cloud/firestore"

firestore = Google::Cloud::Firestore.new project_id: project_id

shards_ref = firestore.col collection_path

# Initialize each shard with count=0
num_shards.times do |i|
  shards_ref.doc(i).set({ count: 0 })
end

puts "Distributed counter shards collection created."

Para incrementar o contador, escolha um fragmento aleatório e incremente a contagem:

Web

function incrementCounter(ref, num_shards) {
    // Select a shard of the counter at random
    const shard_id = Math.floor(Math.random() * num_shards).toString();
    const shard_ref = ref.collection('shards').doc(shard_id);

    // Update count
    return shard_ref.update("count", firebase.firestore.FieldValue.increment(1));
}

Swift

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
func incrementCounter(ref: DocumentReference, numShards: Int) {
  // Select a shard of the counter at random
  let shardId = Int(arc4random_uniform(UInt32(numShards)))
  let shardRef = ref.collection("shards").document(String(shardId))

  shardRef.updateData([
    "count": FieldValue.increment(Int64(1))
  ])
}

Objective-C

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
- (void)incrementCounterAtReference:(FIRDocumentReference *)reference
                         shardCount:(NSInteger)shardCount {
  // Select a shard of the counter at random
  NSInteger shardID = (NSInteger)arc4random_uniform((uint32_t)shardCount);
  NSString *shardName = [NSString stringWithFormat:@"%ld", (long)shardID];
  FIRDocumentReference *shardReference =
      [[reference collectionWithPath:@"shards"] documentWithPath:shardName];

  [shardReference updateData:@{
    @"count": [FIRFieldValue fieldValueForIntegerIncrement:1]
  }];
}

Kotlin
Android

fun incrementCounter(ref: DocumentReference, numShards: Int): Task<Void> {
    val shardId = Math.floor(Math.random() * numShards).toInt()
    val shardRef = ref.collection("shards").document(shardId.toString())

    return shardRef.update("count", FieldValue.increment(1))
}

Java
Android

public Task<Void> incrementCounter(final DocumentReference ref, final int numShards) {
    int shardId = (int) Math.floor(Math.random() * numShards);
    DocumentReference shardRef = ref.collection("shards").document(String.valueOf(shardId));

    return shardRef.update("count", FieldValue.increment(1));
}

Python

def increment_counter(self, doc_ref):
    """Increment a randomly picked shard."""
    doc_id = random.randint(0, self._num_shards - 1)

    shard_ref = doc_ref.collection("shards").document(str(doc_id))
    return shard_ref.update({"count": firestore.Increment(1)})

Python
(assíncrono)

async def increment_counter(self, doc_ref):
    """Increment a randomly picked shard."""
    doc_id = random.randint(0, self._num_shards - 1)

    shard_ref = doc_ref.collection("shards").document(str(doc_id))
    return await shard_ref.update({"count": firestore.Increment(1)})

Node.js

function incrementCounter(docRef, numShards) {
  const shardId = Math.floor(Math.random() * numShards);
  const shardRef = docRef.collection('shards').doc(shardId.toString());
  return shardRef.set({count: FieldValue.increment(1)}, {merge: true});
}

Go


// incrementCounter increments a randomly picked shard.
func (c *Counter) incrementCounter(ctx context.Context, docRef *firestore.DocumentRef) (*firestore.WriteResult, error) {
	docID := strconv.Itoa(rand.Intn(c.numShards))

	shardRef := docRef.Collection("shards").Doc(docID)
	return shardRef.Update(ctx, []firestore.Update{
		{Path: "Count", Value: firestore.Increment(1)},
	})
}

PHP

$ref = $db->collection('samples/php/distributedCounters');
$numShards = 0;
$docCollection = $ref->documents();
foreach ($docCollection as $doc) {
    $numShards++;
}
$shardIdx = random_int(0, max(1, $numShards) - 1);
$doc = $ref->document((string) $shardIdx);
$doc->update([
    ['path' => 'Cnt', 'value' => FieldValue::increment(1)]
]);

C#

/// <summary>
/// Increment a randomly picked shard by 1.
/// </summary>
/// <param name="docRef">The document reference <see cref="DocumentReference"/></param>
/// <returns>The <see cref="Task"/></returns>
private static async Task IncrementCounterAsync(DocumentReference docRef, int numOfShards)
{
    int documentId;
    lock (s_randLock)
    {
        documentId = s_rand.Next(numOfShards);
    }
    var shardRef = docRef.Collection("shards").Document(documentId.ToString());
    await shardRef.UpdateAsync("count", FieldValue.Increment(1));
}

Ruby

# project_id = "Your Google Cloud Project ID"
# num_shards = "Number of shards for distributed counter"
# collection_path = "shards"

require "google/cloud/firestore"

firestore = Google::Cloud::Firestore.new project_id: project_id

# Select a shard of the counter at random
shard_id = rand 0...num_shards
shard_ref = firestore.doc "#{collection_path}/#{shard_id}"

# increment counter
shard_ref.update({ count: firestore.field_increment(1) })

puts "Counter incremented."

Para obter a contagem total, consulte todos os fragmentos e some os respetivos campos count:

Web

function getCount(ref) {
    // Sum the count of each shard in the subcollection
    return ref.collection('shards').get().then((snapshot) => {
        let total_count = 0;
        snapshot.forEach((doc) => {
            total_count += doc.data().count;
        });

        return total_count;
    });
}

Swift

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
func getCount(ref: DocumentReference) async {
  do {
    let querySnapshot = try await ref.collection("shards").getDocuments()
    var totalCount = 0
    for document in querySnapshot.documents {
      let count = document.data()["count"] as! Int
      totalCount += count
    }

    print("Total count is \(totalCount)")
  } catch {
    // handle error
  }
}

Objective-C

Nota: este produto não está disponível em alvos do watchOS e de App Clips.
- (void)getCountWithReference:(FIRDocumentReference *)reference {
  [[reference collectionWithPath:@"shards"]
      getDocumentsWithCompletion:^(FIRQuerySnapshot *snapshot,
                                   NSError *error) {
        NSInteger totalCount = 0;
        if (error != nil) {
          // Error getting shards
          // ...
        } else {
          for (FIRDocumentSnapshot *document in snapshot.documents) {
            NSInteger count = [document[@"count"] integerValue];
            totalCount += count;
          }

          NSLog(@"Total count is %ld", (long)totalCount);
        }
  }];
}

Kotlin
Android

fun getCount(ref: DocumentReference): Task<Int> {
    // Sum the count of each shard in the subcollection
    return ref.collection("shards").get()
        .continueWith { task ->
            var count = 0
            for (snap in task.result!!) {
                val shard = snap.toObject<Shard>()
                count += shard.count
            }
            count
        }
}

Java
Android

public Task<Integer> getCount(final DocumentReference ref) {
    // Sum the count of each shard in the subcollection
    return ref.collection("shards").get()
            .continueWith(new Continuation<QuerySnapshot, Integer>() {
                @Override
                public Integer then(@NonNull Task<QuerySnapshot> task) throws Exception {
                    int count = 0;
                    for (DocumentSnapshot snap : task.getResult()) {
                        Shard shard = snap.toObject(Shard.class);
                        count += shard.count;
                    }
                    return count;
                }
            });
}

Python

def get_count(self, doc_ref):
    """Return a total count across all shards."""
    total = 0
    shards = doc_ref.collection("shards").list_documents()
    for shard in shards:
        total += shard.get().to_dict().get("count", 0)
    return total

Python
(assíncrono)

async def get_count(self, doc_ref):
    """Return a total count across all shards."""
    total = 0
    shards = doc_ref.collection("shards").list_documents()
    async for shard in shards:
        total += (await shard.get()).to_dict().get("count", 0)
    return total

Node.js

async function getCount(docRef) {
  const querySnapshot = await docRef.collection('shards').get();
  const documents = querySnapshot.docs;

  let count = 0;
  for (const doc of documents) {
    count += doc.get('count');
  }
  return count;
}

Go


// getCount returns a total count across all shards.
func (c *Counter) getCount(ctx context.Context, docRef *firestore.DocumentRef) (int64, error) {
	var total int64
	shards := docRef.Collection("shards").Documents(ctx)
	for {
		doc, err := shards.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			return 0, fmt.Errorf("Next: %w", err)
		}

		vTotal := doc.Data()["Count"]
		shardCount, ok := vTotal.(int64)
		if !ok {
			return 0, fmt.Errorf("firestore: invalid dataType %T, want int64", vTotal)
		}
		total += shardCount
	}
	return total, nil
}

PHP

$result = 0;
$docCollection = $db->collection('samples/php/distributedCounters')->documents();
foreach ($docCollection as $doc) {
    $result += $doc->data()['Cnt'];
}

C#

/// <summary>
/// Get total count across all shards.
/// </summary>
/// <param name="docRef">The document reference <see cref="DocumentReference"/></param>
/// <returns>The <see cref="int"/></returns>
private static async Task<int> GetCountAsync(DocumentReference docRef)
{
    var snapshotList = await docRef.Collection("shards").GetSnapshotAsync();
    return snapshotList.Sum(shard => shard.GetValue<int>("count"));
}

Ruby

# project_id = "Your Google Cloud Project ID"
# collection_path = "shards"

require "google/cloud/firestore"

firestore = Google::Cloud::Firestore.new project_id: project_id

shards_ref = firestore.col_group collection_path

count = 0
shards_ref.get do |doc_ref|
  count += doc_ref[:count]
end

puts "Count value is #{count}."

Limitações

A solução apresentada acima é uma forma escalável de criar contadores partilhados no Firestore, mas deve ter em atenção as seguintes limitações:

  • Número de fragmentos: o número de fragmentos controla o desempenho do contador distribuído. Com um número demasiado pequeno de fragmentos, algumas transações podem ter de ser repetidas antes de serem bem-sucedidas, o que torna as escritas mais lentas. Com demasiados fragmentos, as leituras tornam-se mais lentas e mais dispendiosas. Pode compensar a despesa de leitura mantendo o total do contador num documento de agregação separado, que é atualizado a um ritmo mais lento, e fazendo com que os clientes leiam a partir desse documento para obter o total. A desvantagem é que os clientes têm de esperar que o documento de agregação seja atualizado, em vez de calcular o total lendo todos os fragmentos imediatamente após qualquer atualização.
  • Custo: o custo de leitura de um valor de contador aumenta linearmente com o número de fragmentos, porque tem de ser carregada toda a subcoleção de fragmentos.