[jira] [Created] (SPARK-37240) Cannot read partitioned parquet files with ANSI interval partition values

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

Max Gekk created SPARK-37240:
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             Summary: Cannot read partitioned parquet files with ANSI interval partition values
                 Key: SPARK-37240
                 URL: https://issues.apache.org/jira/browse/SPARK-37240
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
    Affects Versions: 3.3.0
            Reporter: Max Gekk
            Assignee: Max Gekk


The code below demonstrates the issue:
{code:scala}
scala> sql("SELECT INTERVAL '1' YEAR AS i, 0 as id").write.partitionBy("i").parquet("/Users/maximgekk/tmp/ansi_interval_parquet")


scala> spark.read.schema("i INTERVAL YEAR, id INT").parquet("/Users/maximgekk/tmp/ansi_interval_parquet").show(false)
21/11/08 10:56:36 ERROR Executor: Exception in task 0.0 in stage 2.0 (TID 2)
java.lang.RuntimeException: DataType INTERVAL YEAR is not supported in column vectorized reader.
	at org.apache.spark.sql.execution.vectorized.ColumnVectorUtils.populate(ColumnVectorUtils.java:100)
	at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initBatch(VectorizedParquetRecordReader.java:243)
{code}



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