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Felix Kizhakkel Jose commented on SPARK-31599: ---------------------------------------------- Thank you [~gsomogyi]. But this is not a S3 issue. The issue is I have compacted files in the bucket and deleted the non compacted files, but didn't update/modify the "_spark_metadata" folder. And I could see that those Write Ahead Log Json files contain the deleted file names. And when I use Spark SQL to read the data, itĀ first reads the Write Ahead logs fromĀ "_spark_metadata" and then try to read the files listed in it. So I am wondering how can we update the "_spark_metadata" content (Write Ahead Logs)? > 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: Bug > Components: SQL, Structured Streaming > Affects Versions: 2.4.5 > Reporter: Felix Kizhakkel Jose > Priority: Major > > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org