google app engine - in gae, is number of write operations taken to write a single entity and core values same or not? -


10 Entities are stored separately and 10 entities in the form of basic values ​​(i.e. lists or groups) in Google ePenzin datastore What is the difference between archiving

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You create a new cloud monitoring service See, see; Among other things it can show the graph of the RPC delays faced by your app.

There may be different app-side "bridges" different behaviors in storage; For example, NDB (for the Python app) "behind the scenes" tries transparently to use caching on your behalf, and the dvastor calls the RPC call "bunch" Later it clearly states _multi and _async methods and functions). In other languages, or if you are using DB in the old Python, then you can follow the various display characteristics of the app because they use such adaptations for different borders. Can do all the way to "none"

At the least intangible level, however, "bunched" and "async" behavior will always have a performance advantage compared to writing alone and synchronously in each unit.

If the back-end detector low requests RPC calls to write in sufficient quantity for each, it can better manage its operations if there is a lot to write about a single unit Receive RPC calls

"async" behavior does not affect this (except that it can "bundling" behind the curtain on NDB ) at the lowest intangible level ( Datastore back-end Should do the same thing, whether blocked by the app, whether the result, or just a future asynchronous look) but it can still improve your app "overlap" things "And able to do something else before waiting for future to deliver your app.

So every "bridge" is from you, but if it does anything, then it is very complex (in a special, multi-threaded app), to see the actual performance effects of different methods. Cloud Monitoring is worth using and using.


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