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https://issues.apache.org/jira/browse/SPARK-33593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17251154#comment-17251154
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Apache Spark commented on SPARK-33593:
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User 'AngersZhuuuu' has created a pull request for this issue:
https://github.com/apache/spark/pull/30824
> Parquet vector reader incorrect with binary partition value
> -----------------------------------------------------------
>
> Key: SPARK-33593
> URL: https://issues.apache.org/jira/browse/SPARK-33593
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: angerszhu
> Priority: Major
>
> {code:java}
> test("Parquet vector reader incorrect with binary partition value") {
> Seq(false, true).foreach(tag => {
> withSQLConf("spark.sql.parquet.enableVectorizedReader" -> tag.toString) {
> withTable("t1") {
> sql(
> """CREATE TABLE t1(name STRING, id BINARY, part BINARY)
> | USING PARQUET PARTITIONED BY (part)""".stripMargin)
> sql(s"INSERT INTO t1 PARTITION(part = 'Spark SQL') VALUES('a',
> X'537061726B2053514C')")
> if (tag) {
> checkAnswer(sql("SELECT name, cast(id as string), cast(part as
> string) FROM t1"),
> Row("a", "Spark SQL", ""))
> } else {
> checkAnswer(sql("SELECT name, cast(id as string), cast(part as
> string) FROM t1"),
> Row("a", "Spark SQL", "Spark SQL"))
> }
> }
> }
> })
> }
> {code}
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