[
https://issues.apache.org/jira/browse/SPARK-57948?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-57948:
-----------------------------------
Labels: pull-request-available (was: )
> Fix pipelined Python UDF data transfer over Unix domain sockets
> ---------------------------------------------------------------
>
> Key: SPARK-57948
> URL: https://issues.apache.org/jira/browse/SPARK-57948
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
>
> SPARK-56642 added pipelined JVM->Python UDF data transfer via
> BasePythonRunner.createPipelinedDataIn, which reads the worker through the
> legacy socket API (worker.channel.socket().setSoTimeout / getInputStream).
> For a Unix domain SocketChannel, SocketChannel.socket() throws
> java.lang.UnsupportedOperationException, so with
> spark.python.unix.domain.socket.enabled=true and
> spark.python.udf.pipelined.enabled=true every pipelined Arrow/Python UDF
> fails. This breaks the scheduled Build / Unix Domain Socket (build_uds)
> master lane. Fix: in UDS mode read from the channel via
> Channels.newInputStream and skip the SO_TIMEOUT-based idle timeout, matching
> the existing sync-mode UDS handling in PythonRunner.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
