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  1. Spark
  2. SPARK-36528

Implement lazy decoding for the vectorized Parquet reader

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Details

    • New Feature
    • Status: Open
    • Major
    • Resolution: Unresolved
    • 3.3.0
    • None
    • SQL
    • None

    Description

      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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          is related to

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-35743 Improve Parquet vectorized reader

          • Major - Major loss of function.
          • Resolved

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              Unassigned Unassigned
              csun Chao Sun
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              Dates

                Created:
                Updated: