不，目前还没有内置的聚合查询支持。然而，有几件事你可以做。

这里记录了第一个。您可以使用事务或云函数来维护聚合信息:

这个例子展示了如何使用一个函数来跟踪子集合中的评级数量，以及平均评级。

exports.aggregateRatings = firestore
  .document('restaurants/{restId}/ratings/{ratingId}')
  .onWrite(event => {
    // Get value of the newly added rating
    var ratingVal = event.data.get('rating');

    // Get a reference to the restaurant
    var restRef = db.collection('restaurants').document(event.params.restId);

    // Update aggregations in a transaction
    return db.transaction(transaction => {
      return transaction.get(restRef).then(restDoc => {
        // Compute new number of ratings
        var newNumRatings = restDoc.data('numRatings') + 1;

        // Compute new average rating
        var oldRatingTotal = restDoc.data('avgRating') * restDoc.data('numRatings');
        var newAvgRating = (oldRatingTotal + ratingVal) / newNumRatings;

        // Update restaurant info
        return transaction.update(restRef, {
          avgRating: newAvgRating,
          numRatings: newNumRatings
        });
      });
    });
});

jbb提到的解决方案在您只想不频繁地计数文档时也很有用。确保使用select()语句来避免下载所有文档(当您只需要一个计数时，这是很大的带宽)。select()目前仅在服务器sdk中可用，因此该解决方案不适用于移动应用程序。

这使用计数来创建数字唯一ID。在我的使用中，我将永远不会递减，即使需要ID的文档被删除。

在需要唯一数值的集合创建时

用一个文档指定一个集合appData，只设置.doc id 在firebase防火控制台中将uniqueNumericIDAmount设置为0 使用doc.data()。uniqueNumericIDAmount + 1作为唯一的数字id 更新appData收集uniqueNumericIDAmount与firebase.firestore.FieldValue.increment(1)

firebase
    .firestore()
    .collection("appData")
    .doc("only")
    .get()
    .then(doc => {
        var foo = doc.data();
        foo.id = doc.id;

        // your collection that needs a unique ID
        firebase
            .firestore()
            .collection("uniqueNumericIDs")
            .doc(user.uid)// user id in my case
            .set({// I use this in login, so this document doesn't
                  // exist yet, otherwise use update instead of set
                phone: this.state.phone,// whatever else you need
                uniqueNumericID: foo.uniqueNumericIDAmount + 1
            })
            .then(() => {

                // upon success of new ID, increment uniqueNumericIDAmount
                firebase
                    .firestore()
                    .collection("appData")
                    .doc("only")
                    .update({
                        uniqueNumericIDAmount: firebase.firestore.FieldValue.increment(
                            1
                        )
                    })
                    .catch(err => {
                        console.log(err);
                    });
            })
            .catch(err => {
                console.log(err);
            });
    });

聚合计数查询刚刚在Firestore中预览。

在2022年Firebase峰会上宣布:https://firebase.blog/posts/2022/10/whats-new-at-Firebase-Sumit-2022

摘录:

[开发人员预览]Count()函数:与新的计数函数 Firstore[原文]，你现在可以得到匹配文件的计数当你 运行查询或从集合中读取，而不加载实际的 文件，这为你节省了很多时间。

他们在峰会上展示的代码示例:

在问答环节中，有人问了汇总查询的定价问题，Firebase团队给出的答案是，它的成本是读取价格的1 / 1000(四舍四入到最近的读取，详情见下面的评论)，但将计算汇总的所有记录。

有了新版本的Firebase，您现在可以运行聚合查询了! 简单的写

.count().get(); 

在您的询问之后。

除了上面我的npm包adv-firestore-functions，你还可以使用firestore规则来强制一个好的计数器:

Firestore规则

function counter() {
  let docPath = /databases/$(database)/documents/_counters/$(request.path[3]);
  let afterCount = getAfter(docPath).data.count;
  let beforeCount = get(docPath).data.count;
  let addCount = afterCount == beforeCount + 1;
  let subCount = afterCount == beforeCount - 1;
  let newId = getAfter(docPath).data.docId == request.path[4];
  let deleteDoc = request.method == 'delete';
  let createDoc = request.method == 'create';
  return (newId && subCount && deleteDoc) || (newId && addCount && createDoc);
}

function counterDoc() {
  let doc = request.path[4];
  let docId = request.resource.data.docId;
  let afterCount = request.resource.data.count;
  let beforeCount = resource.data.count;
  let docPath = /databases/$(database)/documents/$(doc)/$(docId);
  let createIdDoc = existsAfter(docPath) && !exists(docPath);
  let deleteIdDoc = !existsAfter(docPath) && exists(docPath);
  let addCount = afterCount == beforeCount + 1;
  let subCount = afterCount == beforeCount - 1;
  return (createIdDoc && addCount) || (deleteIdDoc && subCount);
}

像这样使用它们:

match /posts/{document} {
  allow read;
  allow update;
  allow create: if counter();
  allow delete: if counter();
}
match /_counters/{document} {
  allow read;
  allow write: if counterDoc();
}

前端

用以下函数替换你的set和delete函数:

set

async setDocWithCounter(
  ref: DocumentReference<DocumentData>,
  data: {
    [x: string]: any;
  },
  options: SetOptions): Promise<void> {

  // counter collection
  const counterCol = '_counters';

  const col = ref.path.split('/').slice(0, -1).join('/');
  const countRef = doc(this.afs, counterCol, col);
  const countSnap = await getDoc(countRef);
  const refSnap = await getDoc(ref);

  // don't increase count if edit
  if (refSnap.exists()) {
    await setDoc(ref, data, options);

    // increase count
  } else {
    const batch = writeBatch(this.afs);
    batch.set(ref, data, options);

    // if count exists
    if (countSnap.exists()) {
      batch.update(countRef, {
        count: increment(1),
        docId: ref.id
      });
      // create count
    } else {
      // will only run once, should not use
      // for mature apps
      const colRef = collection(this.afs, col);
      const colSnap = await getDocs(colRef);
      batch.set(countRef, {
        count: colSnap.size + 1,
        docId: ref.id
      });
    }
    batch.commit();
  }
}

删除

async delWithCounter(
  ref: DocumentReference<DocumentData>
): Promise<void> {

  // counter collection
  const counterCol = '_counters';

  const col = ref.path.split('/').slice(0, -1).join('/');
  const countRef = doc(this.afs, counterCol, col);
  const countSnap = await getDoc(countRef);
  const batch = writeBatch(this.afs);

  // if count exists
  batch.delete(ref);
  if (countSnap.exists()) {
    batch.update(countRef, {
      count: increment(-1),
      docId: ref.id
    });
  }
  /*
  if ((countSnap.data() as any).count == 1) {
    batch.delete(countRef);
  }*/
  batch.commit();
}

更多信息请看这里…

J

截至2022年10月，Firestore在客户端sdk上引入了count()方法。现在您可以在没有下载的情况下计算查询。

对于1000份文件，它将收取你阅读1份文件的费用。

网络(v9)

Firebase 9.11.0介绍:

const collectionRef = collection(db, "cities");
const snapshot = await getCountFromServer(collectionRef);
console.log('count: ', snapshot.data().count);

Web V8

不可用。

节点(管理)

const collectionRef = db.collection('cities');
const snapshot = await collectionRef.count().get();
console.log(snapshot.data().count);

Android (Kotlin)

在firestore v24.4.0 (BoM 31.0.0)引入:

val query = db.collection("cities")
val countQuery = query.count()
countQuery.get(AggregateSource.SERVER).addOnCompleteListener { task ->
    if (task.isSuccessful) {
        val snapshot = task.result
        Log.d(TAG, "Count: ${snapshot.count}")
    } else {
        Log.d(TAG, "Count failed: ", task.getException())
    }
}

苹果平台(Swift)

Firestore v10.0.0引入:

do {
  let query = db.collection("cities")
  let countQuery = query.countAggregateQuery
  let snapshot = try await countQuery.aggregation(source: AggregateSource.server)
  print(snapshot.count)
} catch {
  print(error)
}