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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/01/27 22:36:00 UTC
[jira] [Commented] (ARROW-3769) [C++] Support reading
non-dictionary encoded binary Parquet columns directly as DictionaryArray
[ https://issues.apache.org/jira/browse/ARROW-3769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16753616#comment-16753616 ]
Wes McKinney commented on ARROW-3769:
-------------------------------------
This is implemented in in https://github.com/apache/arrow/pull/3492 for PARQUET-1508, but not tested. This JIRA should be used to add unit tests and probably some benchmarks, too
> [C++] Support reading non-dictionary encoded binary Parquet columns directly as DictionaryArray
> -----------------------------------------------------------------------------------------------
>
> Key: ARROW-3769
> URL: https://issues.apache.org/jira/browse/ARROW-3769
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++
> Reporter: Wes McKinney
> Priority: Major
> Labels: parquet
> Fix For: 0.13.0
>
>
> If the goal is to hash this data anyway into a categorical-type array, then it would be better to offer the option to "push down" the hashing into the Parquet read hot path rather than first fully materializing a dense vector of {{ByteArray}} values, which could use a lot of memory after decompression
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