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Editorial Team
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Asked: 2026-06-06T19:23:41+00:00

In order to decrease the cost of an existing application which over-consumes on Datastore

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In order to decrease the cost of an existing application which over-consumes on Datastore reads, I am trying to get stats on the application as a whole.

What I’d like to get for the overall application is stats about the queries that are returning the biggest number of rows during a complete day of production. The cost of retrieving data being $0.70 / million, there is a big incentive to optimise / cache some queries but first I have to understand which query retrieves too much data.

Appstats apparently does not provide this information as the tool’s primary driver is to optimise one RPC call.

Does anyone has a magic solution for this one ? One alternative I thought about was to build by myself a tool to log after each query the number of rows returned but that looks like an overkill and will require to open the code.

Thanks a lot for your help !

Hugues

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1 Answer

  1. Editorial Team

    See this related post: https://stackoverflow.com/questions/11282567/calculating-datastore-api-usage-per-request/

    What you can do to measure and optimize is to look at the cost field provided by the LogService. (It’s called cpm_usd in the admin panel).

    Using this information you can find the most expensive urls and thus optimize its queries.

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