angerszhu created SPARK-33593: --------------------------------- Summary: 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
{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} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org