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Posted to dev@parquet.apache.org by "Ryan Blue (JIRA)" <ji...@apache.org> on 2015/07/21 18:42:04 UTC

[jira] [Updated] (PARQUET-182) FilteredRecordReader skips rows it shouldn't for schema with optional columns

     [ https://issues.apache.org/jira/browse/PARQUET-182?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ryan Blue updated PARQUET-182:
------------------------------
    Fix Version/s: 1.9.0

> FilteredRecordReader skips rows it shouldn't for schema with optional columns
> -----------------------------------------------------------------------------
>
>                 Key: PARQUET-182
>                 URL: https://issues.apache.org/jira/browse/PARQUET-182
>             Project: Parquet
>          Issue Type: Bug
>          Components: parquet-mr
>    Affects Versions: 1.5.0, 1.6.0, 1.7.0
>         Environment: Linux, Java7/Java8
>            Reporter: Steven Mellinger
>            Priority: Blocker
>             Fix For: 1.9.0
>
>
> When using UnboundRecordFilter with nested AND/OR filters over OPTIONAL columns, there seems to be a case with a mismatch between the current record's column value and the value read during filtering.
> The structure of my filter predicate that results in incorrect filtering is: (x && (y || z))
> When I step through it with a debugger I can see that the value being read from the ColumnReader inside my Predicate is different than the value for that row.
> Looking deeper there seems to be a buffer with dictionary keys in RunLenghBitPackingHybridDecoder (I am using RLE). There are only two different keys in this array, [0,1], whereas my optional column has three different values, [null,0,1]. If I had a column with values 5,10,10,null,10, and keys 0 -> 5 and 1 -> 10, the buffer would hold 0,1,1,1,0, and in the case that it reads the last row, would return 0 -> 5.
> So it seems that nothing is keeping track of where nulls appear.
> Hope someone can take a look, as it is a blocker for my project.



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