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https://issues.apache.org/jira/browse/SPARK-37240?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17440289#comment-17440289
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Apache Spark commented on SPARK-37240:
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User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/34517
> 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
> Priority: Major
>
> 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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