After some more detailed logging I have isolated the problem and it is
worrying.

It so happens that I make several memcache requests, I had assumed
that since I was making
calls to the Datastore API, any delay would be due to that, but it
turns out that around
half the delay is due to the memcache calls.

Specifically, I am seeing ~13ms latency for each memcache (single get/
put/increment), and since I am
making typically 5 calls, I am seeing ~65ms delay due to this.

This is in contradiction with AppEngine System status that indicates
memcache latency ~4-5ms.

Of course, what is meant by latency vs call elapsed is a little
ambiguous, but the figures for Datastore latency
tie up with what I see in my request logs.

In other words I time the api call/return and I see around the same
figures for Datastore latency but almost three times the memcache
latency.

Is this a problem specific to the Java API perhaps?

If I batch three memcache puts using putAll, I see 13ms for the three
rather than 39ms.

On 30 July, 19:47, Martyn <[email protected]> wrote:
> I am using the low-level Java Datastore interface and writing a
> "transactional" store - where each entity stores a number of data
> updates in a single Blob.
> Each transaction requires two updates, one to a Header entity, and one
> to the new transaction data entity.  Keys for each are created
> explicitly.  This has a number of advantages, specifically with regard
> to guaranteed transaction isolation and caching potential.
> However, I am disappointed with the insertion performance.  I use the
> DatastoreService put(Iterable) to invoke the two updates witha single
> API call (or rather one update and one insert), but I am seeing >120ms
> request times in the logs. The log trace confirms the delay is largely
> down to the datastore put.
>
> Am I missing something, or is this really the best I can hope for?
> Apart from the blob data, which is normally ~1k, a couple of debug
> properties (Date and VM hash) are included but set using
> setUnindexedProperty.
>
> Any help/advice appreciated.
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