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From Jean-Baptiste Onofré>
Subject Re: Reducing database connection with JdbcIO
Date Wed, 14 Mar 2018 15:00:40 GMT
Hi Derek,

I think you could be interested by:

related to BEAM-3500.

I introduced an internal poolable datasource.

I hope it could help.


On 14/03/2018 11:49, Derek Chan wrote:
> Hi,
> We are new to Beam and need some help.
> We are working on a flow to ingest events and writes the aggregated 
> counts to a database. The input rate is rather low (~2000 message per 
> sec), but the processing is relatively heavy, that we need to scale out 
> to 5~6 nodes. The output (via JDBC) is aggregated, so the volume is also 
> low. But because of the number of workers, it keeps 3000 connections to 
> the database and it keeps hitting the database connection limits.
> Is there a way that we can reduce the concurrency only at the output 
> stage? (In Spark we would have done a repartition/coalesce).
> And, if it matters, we are using Apache Beam 2.2 via Scio, on Google 
> Dataflow.
> Thank you in advance!

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