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https://issues.apache.org/jira/browse/FLINK-32817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xintong Song closed FLINK-32817.
--------------------------------
Fix Version/s: 1.19.0
Resolution: Fixed
master (1.19): 1d1247d4ae6d4313f7d952c4b2d66351314c9432
> Supports running jar file names with Spaces
> -------------------------------------------
>
> Key: FLINK-32817
> URL: https://issues.apache.org/jira/browse/FLINK-32817
> Project: Flink
> Issue Type: Improvement
> Components: Deployment / YARN
> Affects Versions: 1.14.0
> Reporter: Xianxun Ye
> Assignee: Xianxun Ye
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.19.0
>
>
> 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
> {code:java}
> bin/flink run -d -m yarn-cluster -p 1 -c
> org.apache.flink.table.examples.java.basics.StreamSQLExample
> StreamSQLExample\ 2.jar {code}
> {code:java}
> 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{code}
> 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:java}
> // 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+)}");
> {code}
> add '\x20' to only match the spaces
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