That error message means a mutation was above system limits 
<https://cloud.google.com/datastore/docs/concepts/limits>. Provided that 
you don’t use transaction exceeding 25 entity groups, causes can include:

Exceeding 500 entities in a single commit

Exceeding 10MiB in a single transaction

Exceeding 2MiB total composite index size for an entity

Here 
<https://cloud.google.com/datastore/docs/best-practices#designing_for_scale>, 
you can find the best practices of what to keep in mind when using Cloud 
Datastore. If you need further technical support, I recommend to post your 
code snippet of the transaction handling the batch requests to Stack 
Overflow <https://cloud.google.com/support/docs/stackexchange> using the 
supported Cloud tags since Google Groups are reserved for general product 
discussions and are not for technical questions.



On Friday, April 13, 2018 at 5:27:32 PM UTC-4, Amir Naor wrote:
>
> One of my end points need to handle storing over 1-5000 entities belonging 
> to a single EG. This needs to happen atomically such that in case of error 
> everything is reverted to the orignal state.
>
> The problem I'm running into is occasional "datastore transaction or write 
> too big." exception. Since all my entities are small in size, I assume I'm 
> hitting the entity limit of 500 per commit (though at times I'm able to 
> store 900 at once). Splitting the save statement into batches, but within 
> the same transaction doesn't seem to help. 
>
> What is the best practice to handle that limit? Are transactions out of 
> the question in this scenario? 
>

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