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Re: Reducing database connection with JdbcIO

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:

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!