[jira] [Updated] (BEAM-12915) No parallelism when using SDFBoundedSourceReader with Flink

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-12915?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Beam JIRA Bot updated BEAM-12915:
---------------------------------
    Labels: stale-P2  (was: )

> No parallelism when using SDFBoundedSourceReader with Flink
> -----------------------------------------------------------
>
>                 Key: BEAM-12915
>                 URL: https://issues.apache.org/jira/browse/BEAM-12915
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-flink
>    Affects Versions: 2.32.0
>            Reporter: Rogan Morrow
>            Priority: P2
>              Labels: stale-P2
>
> Background: I am using TFX pipelines with Flink as the runner for Beam (flink session cluster using [flink-on-k8s-operator|https://github.com/GoogleCloudPlatform/flink-on-k8s-operator]). The Flink cluster has 2 taskmanagers with 16 cores each, and parallelism is set to 32. TFX components call {{beam.io.ReadFromTFRecord}} to load data, passing in a glob file pattern. I have a dataset of TFRecords split across 160 files. When I try to run the component, processing for all 160 files ends up in a single subtask in Flink, i.e. the parallelism is effectively 1. See below images:
> !https://i.imgur.com/ppba0AL.png!
> !https://i.imgur.com/rSTFATn.png!
>  
>  I have tried all manner of Beam/Flink options and different versions of Beam/Flink but the behaviour remains the same.
> Furthermore, the behaviour affects anything that uses {{apache_beam.io.iobase.SDFBoundedSourceReader}}, e.g. {{apache_beam.io.parquetio.ReadFromParquet}} also has the same issue. Either I'm missing some obscure setting in my configuration, or this is a bug with the Flink runner.
>   



--
This message was sent by Atlassian Jira
(v8.20.1#820001)