问题描述
我正在使用 Firebase Firestore 创建日志系统.结构为:
I am using Firebase Firestore to create a log system. The structure is:
- 集合:错误
- 输入错误 1
- 输入错误 2
- ...
我添加如下错误:
val error = hashMapOf( "datetime" to FieldValue.serverTimestamp(), "errorMessage" to errorMessage ) database.collection("errors") .add(error)
然后我观察成本如何受此操作影响.关于写入次数,显然增加了1次写入操作.
Then I watch at how the costs are affected by this operation.Regarding the write count, it obviously adds 1 write operation.
问题在于读取操作.出于某种原因,执行此代码会导致:
The problem comes with the read operations. For some reason, executing this code causes:
- 超过 30 次阅读
- 即使我关闭了应用,读取次数也会随着时间的推移而增加.
为什么一次写操作会消耗这么多读操作?
Why a write operation cost so many read operations?
推荐答案
请注意,如果您正在通过 Firebase 控制台,从 Firebase 控制台读取的 Firestore 文档包含在您的 Firestore 读取计数/配额中.
Note that if you are monitoring/watching your database through the Firebase console, the Firestore documents reads from the Firebase console are included in your Firestore read count/quota.
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