[jira] [Updated] (SPARK-57828) Add vectorized Parquet reader support for nanosecond-precision timestamp types

["Max Gekk (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-57828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Max Gekk updated SPARK-57828:
-----------------------------
    Shepherd: Max Gekk

> Add vectorized Parquet reader support for nanosecond-precision timestamp types
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-57828
>                 URL: https://issues.apache.org/jira/browse/SPARK-57828
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 4.3.0
>            Reporter: Max Gekk
>            Priority: Major
>
> This sub-task is part of the umbrella SPARK-56822 (timestamps with nanosecond precision).
> h2. Problem
> Nanosecond Parquet READ only works via the row-based reader. {{TimestampNanosParquetOps.isBatchReadSupported}} (datasources/parquet/TimestampNanosParquetOps.scala ~L54-58) stays at the trait default {{false}}, and {{ParquetUtils.isBatchReadSupportedForSchema}} requires every column to support batch read, so any nanosecond column forces the whole file onto {{ParquetRowConverter}} even when vectorized reading is enabled. {{ParquetVectorUpdaterFactory}} (~L140-161) only has MICROS/MILLIS timestamp updaters. Correct but slow; Parquet WRITE + non-vectorized READ are already done (SPARK-57102).
> h2. Goal
> Read {{TIMESTAMP(NANOS)}} columns through the vectorized path, materializing the 16-byte {{TimestampNanosVal}} (epoch micros + nanosecond remainder) into the columnar batch.
> h2. Scope
> Implement a nanosecond updater in {{ParquetVectorUpdaterFactory}} / {{VectorizedColumnReader}}; flip {{isBatchReadSupported}} for the nanosecond ops; ensure the columnar layout matches the nanosecond {{ColumnVector}} (added under SPARK-57100).
> h2. Acceptance criteria
> * Nanosecond Parquet files read correctly with {{spark.sql.parquet.enableVectorizedReader=true}}, matching the row-reader results; no fallback for nanosecond-only schemas.
> h2. Testing
> {{ParquetTimestampNanosSuite}} (with the vectorized reader on), {{ParquetQuerySuite}}.
> h2. Dependencies
> None - independent (columnar layout resolved in SPARK-57100).



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