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Apache Spark commented on SPARK-36890: -------------------------------------- User 'Reamer' has created a pull request for this issue: https://github.com/apache/spark/pull/34143 > Websocket timeouts to K8s-API > ----------------------------- > > Key: SPARK-36890 > URL: https://issues.apache.org/jira/browse/SPARK-36890 > Project: Spark > Issue Type: Improvement > Components: Kubernetes > Affects Versions: 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, > 2.4.3, 2.4.4, 2.4.5, 2.4.6, 2.4.7, 2.4.8, 3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.1.0, > 3.1.1, 3.1.2 > Reporter: Philipp Dallig > Priority: Major > > If you access the Kubernetes API via a load balancer (e.g. HAProxy) and have > set a tunnel timeout, the following error message is thrown exactly after > each timeout. > {code} > >>> 21/09/27 15:35:19 WARN WatchConnectionManager: Exec Failure > java.io.EOFException > at okio.RealBufferedSource.require(RealBufferedSource.java:61) > at okio.RealBufferedSource.readByte(RealBufferedSource.java:74) > at > okhttp3.internal.ws.WebSocketReader.readHeader(WebSocketReader.java:117) > at > okhttp3.internal.ws.WebSocketReader.processNextFrame(WebSocketReader.java:101) > at > okhttp3.internal.ws.RealWebSocket.loopReader(RealWebSocket.java:274) > at > okhttp3.internal.ws.RealWebSocket$2.onResponse(RealWebSocket.java:214) > at okhttp3.RealCall$AsyncCall.execute(RealCall.java:203) > at okhttp3.internal.NamedRunnable.run(NamedRunnable.java:32) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > {code} > This exception is quite annoying when working interactively with a paused > pySpark shell where the driver component runs locally but the executors run > in Kubernetes. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org