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Ádám Szita updated HIVE-23729: ------------------------------ Fix Version/s: 4.0.0 Resolution: Fixed Status: Resolved (was: Patch Available) Committed to master, thanks for the review Olli and Peter! > LLAP text cache fails when using multiple tables/schemas on the same files > -------------------------------------------------------------------------- > > Key: HIVE-23729 > URL: https://issues.apache.org/jira/browse/HIVE-23729 > Project: Hive > Issue Type: Bug > Reporter: Ádám Szita > Assignee: Ádám Szita > Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > Time Spent: 0.5h > Remaining Estimate: 0h > > When using the text based cache we will hit exceptions in the following case: > * Table A with 3 columns is defined on location X (where we have text based > data files) > * Table B with 2 columns is defined on the same location X > * User runs a query on table A, thereby filling the LLAP cache. > * If the next query goes against table B that has a different schema, LLAP > will throw an error: > {code:java} > Caused by: java.lang.ArrayIndexOutOfBoundsException: 2 > at > org.apache.hadoop.hive.llap.cache.SerDeLowLevelCacheImpl.getCacheDataForOneSlice(SerDeLowLevelCacheImpl.java:411) > at > org.apache.hadoop.hive.llap.cache.SerDeLowLevelCacheImpl.getFileData(SerDeLowLevelCacheImpl.java:389) > at > org.apache.hadoop.hive.llap.io.encoded.SerDeEncodedDataReader.readFileWithCache(SerDeEncodedDataReader.java:819) > at > org.apache.hadoop.hive.llap.io.encoded.SerDeEncodedDataReader.performDataRead(SerDeEncodedDataReader.java:720) > at > org.apache.hadoop.hive.llap.io.encoded.SerDeEncodedDataReader$5.run(SerDeEncodedDataReader.java:274) > at > org.apache.hadoop.hive.llap.io.encoded.SerDeEncodedDataReader$5.run(SerDeEncodedDataReader.java:271) > {code} > This is because the cache lookup is based on file ID, which in this case is > the same for both tables. However, unlike with ORC files, the cached content > and the file content is different, as it is dependent on the schema that was > defined by the user. That's because the original text content is encoded into > ORC in the cache. > I think for the text cache case we will need to extend the cache key from > being just the simple file ID to something that tracks the schema too. This > will result in caching the *same* *file* *content* multiple times (if there > are multiple schemas like this), however as we can see the *cached content > itself could be quite different* (e.g. different streams with different > encodings), and in turn we gain correctness. -- This message was sent by Atlassian Jira (v8.3.4#803005)