Thanks, Chad. Re your comment about caching, I am using NDB on the Python 
side, which I thought used memcache automatically. So I guess I am using 
caching, but I thought that modules in the same project (mine are) shared 
memcache. Is that not true if one module is Python and the other Java?


On Monday, October 31, 2016 at 3:07:43 PM UTC-4, Chad Vincent wrote:
>
> Also, make sure you aren't doing deferred writes or starting the Java 
> request before your Python transaction closes.
>
> On Monday, October 31, 2016 at 2:05:06 PM UTC-5, Chad Vincent wrote:
>>
>> Yes.  Consistency is handled by the database layer, not the application 
>> runtime.
>>
>> HOWEVER, if you are caching entities (Objectify, etc.) you either need to 
>> ensure your Memcache keys are identical or disable caching for those 
>> entities.  Otherwise the Java cache may return a stale result because the 
>> Python module didn't clear/update the entity on write.
>>
>> On Monday, October 31, 2016 at 8:41:07 AM UTC-5, Jonathan Munson wrote:
>>>
>>> Hi,
>>>
>>> We have an app wherein a Datastore entity is written to by a Python 
>>> module (using NDB), and then in an immediately following request, read 
>>> from, using the entity's key, by a Java module. In a situation where the 
>>> app was heavily loaded, it seemed like the Java module was reading stale 
>>> data. The Datastore documentation says that lookup-by-key requests are 
>>> strongly consistent, but does that apply even when writes are from a Python 
>>> module and reads are from a Java module?
>>>
>>> Thanks,
>>>
>>> --Jon
>>>
>>

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