You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Chao Sun (Jira)" <ji...@apache.org> on 2021/08/16 18:21:00 UTC

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

Chao Sun created SPARK-36528:
--------------------------------

             Summary: Implement lazy decoding for the vectorized Parquet reader
                 Key: SPARK-36528
                 URL: https://issues.apache.org/jira/browse/SPARK-36528
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
    Affects Versions: 3.3.0
            Reporter: Chao Sun


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 (e.g., when the data is using RLE encoding).



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org