I'm afraid I can't answer your questions directly, but I would
sincerely suggest you look at Objectify. It offers a tidy way to
migrate to using the low level datastore - and is much easier to code.
JDO feels like a square SQL peg for the round hole of NoSQL.
On 25 October 2011 03:18, Sheado <chad...@gmail.com> wrote:
> Hi All,
> My app uses JDO with the DataStore. When writing an Entity with ~100
> children a request could take somewhere between 3-10 seconds realtime and
> ~80331cpu_ms ~78231api_cpu_ms.
> Can these numbers be improved for writes of this size? Is there a good
> chance my requests will deadline?
> After reading the docs and watching the IO sessions, I got the following
> ideas for improving performance:
> * Using the low level api with setMulti() should clump all the writes into a
> single RPC. I'm guessing PersistenceManager isn't doing that for us with
> ArrayList<> child objects?
> * Try using the Async API
> * I couldn't find any obvious way of improving JDO write speeds
> I'd really appreciate some direction so I don't waste my time trying a
> thousand solutions. Any advice would be awesome!
> Thanks,
> Chad
> P.S. My data structure is as follows (abbreviated code):
> Parent{
> String key; // String key
> ArrayList<GameData> gameData;
> ArrayList<UserData> userData;
> }
> GameData{
> private Key key; private int itemType;
> private int item;
> private float ...;
> private float ...;
> private int ...
> private int ...;
> private int ...;
> private long ...;
> private int ...;
> }
> UserData{
> @PrimaryKey
> @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY)
> private Key key;
> private int ...;
> private String ...;
> private long ...; private boolean ...;
> }
>
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