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Java Version
11
Scala Version
2.12.x
StreamPark Version
2.1.1
Flink Version
1.13.5
deploy mode
yarn-application
What happened
when i use common-cli to submit job,it's ok
flink run -t yarn-per-job \ -Dyarn.application.name=cdcsyncworkorder \ -Djobmanager.memory.process.size=1024MB \ -Dtaskmanager.memory.process.size=1024mb \ -Dtaskmanager.memory.managed.size=0MB \ -Dtaskmanager.numberOfTaskSlots=1 \ --fromSavepoint s3p://xxxxxxx
but i submit job by streampark(yarn-application),start application with checkpoint, throwing error.
Error Exception
Caused by: org.apache.flink.core.fs.UnsupportedFileSystemSchemeException: Could not find a file system implementation for scheme 's3p'. The scheme is directly supported by Flink through the following plugin: flink-s3-fs-presto. Please ensure that each plugin resides within its own subfolder within the plugins directory. See https://ci.apache.org/projects/flink/flink-docs-stable/ops/plugins.html for more information. If you want to use a Hadoop file system for that scheme, please add the scheme to the configuration fs.allowed-fallback-filesystems. For a full list of supported file systems, please see https://nightlies.apache.org/flink/flink-docs-stable/ops/filesystems/.
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Java Version
11
Scala Version
2.12.x
StreamPark Version
2.1.1
Flink Version
1.13.5
deploy mode
yarn-application
What happened
when i use common-cli to submit job,it's ok
flink run -t yarn-per-job \ -Dyarn.application.name=cdcsyncworkorder \ -Djobmanager.memory.process.size=1024MB \ -Dtaskmanager.memory.process.size=1024mb \ -Dtaskmanager.memory.managed.size=0MB \ -Dtaskmanager.numberOfTaskSlots=1 \ --fromSavepoint s3p://xxxxxxx
but i submit job by streampark(yarn-application),start application with checkpoint, throwing error.
Error Exception
Caused by: org.apache.flink.core.fs.UnsupportedFileSystemSchemeException: Could not find a file system implementation for scheme 's3p'. The scheme is directly supported by Flink through the following plugin: flink-s3-fs-presto. Please ensure that each plugin resides within its own subfolder within the plugins directory. See https://ci.apache.org/projects/flink/flink-docs-stable/ops/plugins.html for more information. If you want to use a Hadoop file system for that scheme, please add the scheme to the configuration fs.allowed-fallback-filesystems. For a full list of supported file systems, please see https://nightlies.apache.org/flink/flink-docs-stable/ops/filesystems/.
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