按时间戳查询firestore中的数据

Question

我正在按时间戳查询文档，它返回一个空数组。但是，当我使用 "==" ex:.where('date', '==',timestamp) 时它可以工作，并且在我使用 时返回空数组>'>=' 或 '。

我也尝试将时间戳转换为日期对象和字符串，但没有成功。

注意：firestore 中的date 字段的类型为Timestamp。

我正在查询集合中日期大于“2018-08-03”的文档。

下面是交易集合（左）和文档（右）的图片，它应该是返回的文档数组的一部分，因为日期大于“2018-08-03”

下面是我的代码。

  const firstDay = new Date('2018-08-03');
  const timestamp1 = admin.firestore.Timestamp.fromDate(firstDay);
  const trans = [];
  const docRef = db.collection('Users').doc(uid).collection('transactions').where('item_id', '==', item_id)
    .where('date', '>=', timestamp1);
  await docRef.get()
    .then((snapshot) => {
      snapshot.forEach((doc) => {
        trans.push({ transaction_id: doc.id, transaction: doc.data() });
      });
    })
    .catch(err => new Error('cannot get the documents', err));

预期结果：应该是一个数组，其交易日期大于上面指定的日期。

实际结果：空数组。

由于它适用于平等 ==，我认为 >= 和 会起作用。我在这里遗漏了什么？

Logs after trying ">" (equal to timestamp1)

Firestore (2.3.0) 2019-10-03T14:01:25.013Z AObRG [ClientPool.acquire]: Re-using existing client with 100 remaining operations
Firestore (2.3.0) 2019-10-03T14:01:25.015Z AObRG [Firestore.readStream]: Sending request: {"parent":"projects/valuemo-000/databases/(default)/documents/Users/Xmr3vKT19OSST02DSTDMt0jSq692","structuredQuery":{"from":[{"collectionId":"transactions"}],"where":{"compositeFilter":{"op":"AND","filters":[{"fieldFilter":{"field":{"fieldPath":"item_id"},"op":"EQUAL","value":{"stringValue":"zGRkpP3QkzI89zKyDjZ7FPDrXd5G3Bco5ENlR"}}},{"fieldFilter":{"field":{"fieldPath":"date"},"op":"EQUAL","value":{"timestampValue":{"seconds":1533254400}}}}]}}}}
Firestore (2.3.0) 2019-10-03T14:01:25.232Z AObRG [Firestore._initializeStream]: Received stream error: { Error: The query requires a COLLECTION_ASC index 
for collection transactions and field date. That index is not ready yet. See its status here: https://console.firebase.google.com/project/valuemo-000/database/firestore/indexes/single_field?create_exemption=ClJwcm9qZWN0cy92YWx1ZW1vLTAwMC9kYXRhYmFzZXMvKGRlZmF1bHQpL2NvbGxlY3Rpb25Hcm91cHMvdHJhbnNhY3Rpb25zL2ZpZWxkcy9kYXRlEAEaCAoEZGF0ZRAB
    at Http2CallStream.call.on (D:\Projects\Valuemo-firebase\node_modules\@grpc\grpc-js\build\src\call.js:68:41)
    at Http2CallStream.emit (events.js:194:15)
    at process.nextTick (D:\Projects\Valuemo-firebase\node_modules\@grpc\grpc-js\build\src\call-stream.js:71:22)
    at process.internalTickCallback (internal/process/next_tick.js:70:11)
  code: 9,
  details:
   'The query requires a COLLECTION_ASC index for collection transactions and field date. That index is not ready yet. See its status here: https://console.firebase.google.com/project/valuemo-000/database/firestore/indexes/single_field?create_exemption=ClJwcm9qZWN0cy92YWx1ZW1vLTAwMC9kYXRhYmFzZXMvKGRlZmF1bHQpL2NvbGxlY3Rpb25Hcm91cHMvdHJhbnNhY3Rpb25zL2ZpZWxkcy9kYXRlEAEaCAoEZGF0ZRAB',
  metadata: Metadata { options: undefined, internalRepr: Map {} } }
Firestore (2.3.0) 2019-10-03T14:01:25.256Z AObRG [Firestore._initializeStream]: Received initial error: { Error: The query requires a COLLECTION_ASC index for collection transactions and field date. That index is not ready yet. See its status here: https://console.firebase.google.com/project/valuemo-000/database/firestore/indexes/single_field?create_exemption=ClJwcm9qZWN0cy92YWx1ZW1vLTAwMC9kYXRhYmFzZXMvKGRlZmF1bHQpL2NvbGxlY3Rpb25Hcm91cHMvdHJhbnNhY3Rpb25zL2ZpZWxkcy9kYXRlEAEaCAoEZGF0ZRAB
    at Http2CallStream.call.on (D:\Projects\Valuemo-firebase\node_modules\@grpc\grpc-js\build\src\call.js:68:41)
    at Http2CallStream.emit (events.js:194:15)
    at process.nextTick (D:\Projects\Valuemo-firebase\node_modules\@grpc\grpc-js\build\src\call-stream.js:71:22)
    at process.internalTickCallback (internal/process/next_tick.js:70:11)
  code: 9,
  details:
   'The query requires a COLLECTION_ASC index for collection transactions and field date. That index is not ready yet. See its status here: https://console.firebase.google.com/project/valuemo-000/database/firestore/indexes/single_field?create_exemption=ClJwcm9qZWN0cy92YWx1ZW1vLTAwMC9kYXRhYmFzZXMvKGRlZmF1bHQpL2NvbGxlY3Rpb25Hcm91cHMvdHJhbnNhY3Rpb25zL2ZpZWxkcy9kYXRlEAEaCAoEZGF0ZRAB',
  metadata: Metadata { options: undefined, internalRepr: Map {} } }
Firestore (2.3.0) 2019-10-03T14:01:25.260Z AObRG [Firestore._retry]: Request failed with unrecoverable error: { Error: The query requires a COLLECTION_ASC index for collection transactions and field date. That index is not ready yet. See its status here: https://console.firebase.google.com/project/valuemo-000/database/firestore/indexes/single_field?create_exemption=ClJwcm9qZWN0cy92YWx1ZW1vLTAwMC9kYXRhYmFzZXMvKGRlZmF1bHQpL2NvbGxlY3Rpb25Hcm91cHMvdHJhbnNhY3Rpb25zL2ZpZWxkcy9kYXRlEAEaCAoEZGF0ZRAB
    at Http2CallStream.call.on (D:\Projects\Valuemo-firebase\node_modules\@grpc\grpc-js\build\src\call.js:68:41)
    at Http2CallStream.emit (events.js:194:15)
    at process.nextTick (D:\Projects\Valuemo-firebase\node_modules\@grpc\grpc-js\build\src\call-stream.js:71:22)
    at process.internalTickCallback (internal/process/next_tick.js:70:11)
  code: 9,
  details:
   'The query requires a COLLECTION_ASC index for collection transactions and field date. That index is not ready yet. See its status here: https://console.firebase.google.com/project/valuemo-000/database/firestore/indexes/single_field?create_exemption=ClJwcm9qZWN0cy92YWx1ZW1vLTAwMC9kYXRhYmFzZXMvKGRlZmF1bHQpL2NvbGxlY3Rpb25Hcm91cHMvdHJhbnNhY3Rpb25zL2ZpZWxkcy9kYXRlEAEaCAoEZGF0ZRAB',
  metadata: Metadata { options: undefined, internalRepr: Map {} } }

Answer 1

查询需要收集交易和字段日期的 COLLECTION_ASC 索引。该索引还没有准备好。

为什么不按照错误提示创建索引？这可能会从根本上解决您的问题。

Answer 2

所以我正在测试它，我认为与您提供的设置非常相似，我实际上能够重现相同的行为。

在测试了不同的可能性后，我发现问题与字段的数据类型无关，而与复合索引的配置有关。

使该查询工作所需的复合索引配置如下：

根据文档的Queries supported by composite indexes 部分，此类复合查询的索引应首先具有相等过滤字段，这没有明确说明，但文档在示例中是这样表示的。

如果这能帮您解决问题，请告诉我。

Answer 3

获取您的日期并转换为 javascript 日期对象。然后在转换后的日期对象上执行 getTime() 它将返回一个数字。然后获取firestore时间戳并执行getSeconds（）。将firestore时间戳的秒值与getTime（）的变量存储输出进行比较。