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https://issues.apache.org/jira/browse/SPARK-60230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-60230:
-----------------------------------
Labels: pull-request-available (was: )
> Fix flaky TorchDistributor distributed training failing with EADDRINUSE on
> MASTER_PORT
> --------------------------------------------------------------------------------------
>
> Key: SPARK-60230
> URL: https://issues.apache.org/jira/browse/SPARK-60230
> Project: Spark
> Issue Type: Test
> Components: ML
> Affects Versions: 4.4.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> pyspark.ml.tests.connect.test_connect_pipeline
> PipelineTestsOnConnect.test_pipeline occasionally fails in CI with
> torch.distributed.DistNetworkError (EADDRINUSE) when torchrun's static
> rendezvous creates its TCPStore on MASTER_PORT.
> TorchDistributor picks MASTER_PORT in the barrier task by binding a socket to
> port 0 and then releasing it, so another socket can take the port before
> torchrun binds it. The fix keeps the socket bound with SO_REUSEADDR (not
> listening) until training finishes, so the port stays reserved while
> TCPStore, which also sets SO_REUSEADDR, can still listen on it.
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