Details
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Improvement
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Status: Closed
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Major
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Resolution: Fixed
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1.14.0
Description
When submitting a flink jar to a yarn cluster, if the jar filename has spaces in it, the task will not be able to successfully parse the file path in `YarnLocalResourceDescriptor`, and the following exception will occur in JobManager.
The Flink jar file name is: StreamSQLExample 2.jar
bin/flink run -d -m yarn-cluster -p 1 -c org.apache.flink.table.examples.java.basics.StreamSQLExample StreamSQLExample\ 2.jar
2023-08-09 18:54:31,787 WARN org.apache.flink.runtime.extension.resourcemanager.NeActiveResourceManager [] - Failed requesting worker with resource spec WorkerResourceSpec {cpuCores=1.0, taskHeapSize=220.160mb (230854450 bytes), taskOffHeapSize=0 bytes, networkMemSize=158.720mb (166429984 bytes), managedMemSize=952.320mb (998579934 bytes), numSlots=1}, current pending count: 0 java.util.concurrent.CompletionException: org.apache.flink.util.FlinkException: Error to parse YarnLocalResourceDescriptor from YarnLocalResourceDescriptor{key=StreamSQLExample 2.jar, path=hdfs://***/.flink/application_1586413220781_33151/StreamSQLExample 2.jar, size=7937, modificationTime=1691578403748, visibility=APPLICATION, type=FILE} at org.apache.flink.util.concurrent.FutureUtils.lambda$supplyAsync$21(FutureUtils.java:1052) ~[flink-dist_2.12-1.14.0.jar:1.14.0] at java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1590) ~[?:1.8.0_152] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) ~[?:1.8.0_152] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ~[?:1.8.0_152] at java.lang.Thread.run(Thread.java:748) ~[?:1.8.0_152] Caused by: org.apache.flink.util.FlinkException: Error to parse YarnLocalResourceDescriptor from YarnLocalResourceDescriptor{key=StreamSQLExample 2.jar, path=hdfs://sloth-jd-pub/user/sloth/.flink/application_1586413220781_33151/StreamSQLExample 2.jar, size=7937, modificationTime=1691578403748, visibility=APPLICATION, type=FILE} at org.apache.flink.yarn.YarnLocalResourceDescriptor.fromString(YarnLocalResourceDescriptor.java:112) ~[flink-dist_2.12-1.14.0.jar:1.14.0] at org.apache.flink.yarn.Utils.decodeYarnLocalResourceDescriptorListFromString(Utils.java:600) ~[flink-dist_2.12-1.14.0.jar:1.14.0] at org.apache.flink.yarn.Utils.createTaskExecutorContext(Utils.java:491) ~[flink-dist_2.12-1.14.0.jar:1.14.0] at org.apache.flink.yarn.YarnResourceManagerDriver.createTaskExecutorLaunchContext(YarnResourceManagerDriver.java:452) ~[flink-dist_2.12-1.14.0.jar:1.14.0] at org.apache.flink.yarn.YarnResourceManagerDriver.lambda$startTaskExecutorInContainerAsync$1(YarnResourceManagerDriver.java:383) ~[flink-dist_2.12-1.14.0.jar:1.14.0] at org.apache.flink.util.concurrent.FutureUtils.lambda$supplyAsync$21(FutureUtils.java:1050) ~[flink-dist_2.12-1.14.0.jar:1.14.0] ... 4 more
From what I understand, the HDFS cluster allows for file names with spaces, as well as S3.
I think we could replace the `LOCAL_RESOURCE_DESC_FORMAT` with
// code placeholder private static final Pattern LOCAL_RESOURCE_DESC_FORMAT = Pattern.compile( "YarnLocalResourceDescriptor\\{" + "key=([\\S\\x20]+), path=([\\S\\x20]+), size=([\\d]+), modificationTime=([\\d]+), visibility=(\\S+), type=(\\S+)}");
add '\x20' to only match the spaces
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