How to implement “Sharding Counters” to create or update single entity more than 5 writes per second in Cloud Datastore?
I need to improve the server's performance by increasing the writing throughput in Google Cloud Datastore. Requirement: When the server gets more than 5 requests to create the user data at the same time, the server needs to create or update those entities. However, I encountered a writing contention problem. I know a possible solution is to use a write-behind cache mechanism moving the writes operation that can lead to contention to Memcache and a Taskqueue slowing down the Cloud Datastore hit rate. But I want to do it in parallel without any delay time. 1.Is it possible to apply "Sharding Counters" to create or update ndb's user model? 2.Could you provide any sample codes for this?
This article discusses a strategy for creating sharded counters and includes ndb sample code.
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