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Posted to issues@spark.apache.org by "Chao Sun (Jira)" <ji...@apache.org> on 2023/01/06 22:27:00 UTC

[jira] [Updated] (SPARK-36528) Implement lazy decoding for the vectorized Parquet reader

     [ https://issues.apache.org/jira/browse/SPARK-36528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chao Sun updated SPARK-36528:
-----------------------------
    Issue Type: New Feature  (was: Bug)

> Implement lazy decoding for the vectorized Parquet reader
> ---------------------------------------------------------
>
>                 Key: SPARK-36528
>                 URL: https://issues.apache.org/jira/browse/SPARK-36528
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: Chao Sun
>            Priority: Major
>
> Currently Spark first decode (e.g., RLE/bit-packed, PLAIN) into column vector and then operate on the decoded data. However, it may be more efficient to directly operate on encoded data, for instance, performing filter or aggregation on RLE-encoded data, or performing comparison over dictionary-encoded string data. This can also potentially work with encodings in Parquet v2 format, such as DELTA_BYTE_ARRAY.



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