appengine数据存储查询的成本有多少配额？ [英] How much quota does an appengine datastore Query cost?

问题描述

在appengine的帐单和预算资源页面中，它表示成本查询映射到每读取1个实体+ 1个小实体，而查询（仅限于键）映射到每个读取+1个小键每个检索的键。

这对我来说似乎是一个错字。似乎查询仍然需要对返回的每个实体执行完整的获取操作。这个假设是不正确的？我预计查询的成本为每读取一个实体读取1次读取 读取 。

解决方案

这绝对看起来像一个错字。
cpm_usd看起来像是一种不赞成使用的方式来衡量成本，与以前的定价模型相关联。

$ b

使用最新版本的AppStats（ Python SDK 1.7.1 ）有一个工具来计算数据存储相关成本。使用交互式操场我很快得到了这些结果：
$ b $ ul

用keys_only = False查询

@ 1ms datastore_v3.RunQuery real = 36ms api = 0ms cost = 770 billed_ops = [DATASTORE_READ：11]

使用keys_only = True

@ 1ms datastore_v3.RunQuery real = 5ms api = 0ms cost = 170 billed_ops = [DATASTORE_READ：1，DATASTORE_SMALL：10]

$ b

（所有成本都显示在micropennies中（1美元等于100便士，1便士等于100万micropennies））

In the appengine Billing and Budgeting Resources page, it says that the cost of a "Query" maps to "1 read + 1 small per entity retrieved", whereas a "Query (keys only)" maps to "1 read + 1 small per key retrieved".

This seems like a typo to me. It would seem that a Query would still need to perform a full "get" operation on each entity returned. Is this assumption incorrect? I would have expected the cost of a "Query" to be "1 read + 1 read per entity retrieved".

解决方案

This definitely looks like a typo. cpm_usd looks like a deprecated way to measure costs, linked to the previous pricing model.

With a recent version of AppStats (Python SDK 1.7.1) there is a tool to compute datastore related costs. Using the interactive playground I quickly got these results:

• Query with keys_only=False

  @1ms datastore_v3.RunQuery real=36ms api=0ms cost=770 billed_ops=[DATASTORE_READ:11]

• Same Query with keys_only=True

  @1ms datastore_v3.RunQuery real=5ms api=0ms cost=170 billed_ops=[DATASTORE_READ:1, DATASTORE_SMALL:10]

(All costs displayed in micropennies (1 dollar equals 100 pennies, 1 penny equals 1 million micropennies))

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