Felix Kizhakkel Jose created SPARK-31599:
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Summary: Reading from S3 (Structured Streaming Bucket) Fails after
Compaction
Key: SPARK-31599
URL: https://issues.apache.org/jira/browse/SPARK-31599
Project: Spark
Issue Type: New Feature
Components: SQL, Structured Streaming
Affects Versions: 2.4.5
Reporter: Felix Kizhakkel Jose
I have a S3 bucket which has data streamed (Parquet format) to it by Spark
Structured Streaming Framework from Kafka. Periodically I try to run compaction
on this bucket (a separate Spark Job), and on successful compaction delete the
non compacted (parquet) files. After which I am getting following error on
Spark jobs which read from that bucket:
*Caused by: java.io.FileNotFoundException: No such file or directory:
s3a://spark-kafka-poc/intermediate/part-00000-05ff7893-8a13-4dcd-aeed-3f0d4b5d1691-c000.gz.parquet*
How do we run *_c__ompaction on Structured Streaming S3 bucket_s*. Also I need
to delete the un-compacted files after successful compaction to save space.
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