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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/01/21 06:56:07 UTC
[GitHub] [iceberg] fengsen-neu commented on issue #3909: When we use spark action rewriteDataFiles, how to limit equality_delete file compations memory.
fengsen-neu commented on issue #3909:
URL: https://github.com/apache/iceberg/issues/3909#issuecomment-1018232270
> A large amount of memory is used because each datafile will read all the data of the deletefile which seqNum is bigger than datafile in a hashSet for filtering, But only those keys that are also in the datafile are necessary to read , In the optimized version of my company , I use a bloom filter of datafile's keys to filter out unnecessary eq-deletefile keys (hashset of datafile's keys also works, but using hashset usually consumes more memory) , if the datafile support storage Bloom filter Such as using parquet format based on #2642 ，It's easier to read bloom filters directly from a datafile. maybe I can pull a request if need.
The DeleteFilter object that include deletefile is using much more memory when compaction. As you said 'each datafile will read all the data of the deletefile which seqNum is bigger than datafile in a hashSet for filtering', so I think we should control the DeleteFilter size to limit memory use.
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