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From "Nandor Kollar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-26509) Parquet DELTA_BYTE_ARRAY is not supported in Spark 2.x's Vectorized Reader
Date Wed, 06 Feb 2019 16:59:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-26509?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16761927#comment-16761927
] 

Nandor Kollar commented on SPARK-26509:
---------------------------------------

[~yumwang] here's an example to reproduce this failure in a test:
{code}
class Test_SPARK_26509 extends ParquetCompatibilityTest with SharedSQLContext {
  test("failing test for Parquet V2 DELTA_BYTE_ARRAY") {
    val extraOptions = Map[String, String](
      // Write a Parquet file with writer version2.
      ParquetOutputFormat.WRITER_VERSION -> ParquetProperties.WriterVersion.PARQUET_2_0.toString
    )

    val hadoopConf = spark.sessionState.newHadoopConfWithOptions(extraOptions)
    withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "true") {
      withTempPath { dir =>
        val path = s"${dir.getCanonicalPath}/test.parquet"
        spark.range(1).selectExpr("('hello') AS i")
          .coalesce(1).write.options(extraOptions).mode("overwrite").parquet(path)

        spark.read.parquet(path).collect
      }
    }
  }
}
{code}

> Parquet DELTA_BYTE_ARRAY is not supported in Spark 2.x's Vectorized Reader
> --------------------------------------------------------------------------
>
>                 Key: SPARK-26509
>                 URL: https://issues.apache.org/jira/browse/SPARK-26509
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, SQL
>    Affects Versions: 2.4.0
>            Reporter: Filipe Gonzaga Miranda
>            Priority: Major
>   Original Estimate: 40h
>  Remaining Estimate: 40h
>
> I get the exception below Spark 2.4 reading parquet files where some columns are DELTA_BYTE_ARRAY
encoded.
>  
> {code:java}
> java.lang.UnsupportedOperationException: Unsupported encoding: DELTA_BYTE_ARRAY
>  
> {code}
>  
> If the property:
> spark.sql.parquet.enableVectorizedReader is set to false that works
> The parquet files were written with Parquet V2, and as far as I understand the V2 is
the version used in Spark 2.x.
>  I did not find any property to change which Parquet Version Spark uses (V1, V2).
> Is there anyway to benefit from the Vectorized Reader? Or this is something like a new
implementation to support this version? I would propose so.



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