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