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https://issues.apache.org/jira/browse/SPARK-33593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-33593:
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Fix Version/s: 2.4.8
> Vector reader got incorrect data 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: 2.0.2, 2.1.3, 2.2.3, 2.3.4, 2.4.7, 3.0.1, 3.1.0, 3.2.0
> Reporter: angerszhu
> Assignee: angerszhu
> Priority: Blocker
> Labels: correctness
> Fix For: 2.4.8, 3.0.2, 3.1.0
>
>
> {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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