为什么在Firestore中写入1个文档需要30次读取?

问题描述

我正在使用Firebase Firestore创建日志系统.结构是:

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
  • ...
  • collection: errors
    • entry for error 1
    • entry for error 2
    • ...

    我添加了这样的错误:

    val error = hashMapOf(
        "datetime" to FieldValue.serverTimestamp(),
        "errorMessage" to errorMessage
    )
    
    database.collection("errors")
        .add(error)
    

    然后，我观察此操作如何影响成本.关于写入次数，显然要增加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.

    问题来自读取操作.由于某种原因，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
    • 即使我杀死了该应用程序，读取计数也随着时间的流逝而不断增加.

    为什么写操作要花费那么多读操作?

    Why a write operation cost so many read operations?

    推荐答案

    请注意，如果要通过 Firebase控制台，从Firebase控制台读取的Firestore文档包含在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.

    这篇关于为什么在Firestore中写入1个文档需要30次读取?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！