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Posted to issues@flink.apache.org by "Pawel Bartoszek (JIRA)" <ji...@apache.org> on 2018/10/24 09:28:00 UTC
[jira] [Created] (FLINK-10664) Flink: Checkpointing fails with S3
exception - Please reduce your request rate
Pawel Bartoszek created FLINK-10664:
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Summary: Flink: Checkpointing fails with S3 exception - Please reduce your request rate
Key: FLINK-10664
URL: https://issues.apache.org/jira/browse/FLINK-10664
Project: Flink
Issue Type: Improvement
Components: JobManager, TaskManager
Affects Versions: 1.6.1, 1.5.4
Reporter: Pawel Bartoszek
When the checkpoint is created for the job which has many operators it could happen that Flink uploads too many checkpoint files, at the same time, to S3 resulting in throttling from S3.
{code:java}
Caused by: org.apache.hadoop.fs.s3a.AWSS3IOException: saving output on flink/state-checkpoints/7bbd6495f90257e4bc037ecc08ba21a5/chk-19/4422b088-0836-4f12-bbbe-7e731da11231: com.amazonaws.services.s3.model.AmazonS3Exception: Please reduce your request rate. (Service: Amazon S3; Status Code: 503; Error Code: SlowDown; Request ID: XXXX; S3 Extended Request ID: XXX), S3 Extended Request ID: XXX: Please reduce your request rate. (Service: Amazon S3; Status Code: 503; Error Code: SlowDown; Request ID: 5310EA750DF8B949; S3 Extended Request ID: XXX)
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:178)
at org.apache.hadoop.fs.s3a.S3AOutputStream.close(S3AOutputStream.java:121)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:74)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:108)
at org.apache.flink.runtime.fs.hdfs.HadoopDataOutputStream.close(HadoopDataOutputStream.java:52)
at org.apache.flink.core.fs.ClosingFSDataOutputStream.close(ClosingFSDataOutputStream.java:64)
at org.apache.flink.runtime.state.filesystem.FsCheckpointStreamFactory$FsCheckpointStateOutputStream.closeAndGetHandle(FsCheckpointStreamFactory.java:311){code}
Can the upload be retried with kind of back off?
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