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  1. Spark
  2. SPARK-33593

Vector reader got incorrect data with binary partition value

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Details

    • Bug
    • Status: Resolved
    • Blocker
    • Resolution: Fixed
    • 2.0.2, 2.1.3, 2.2.3, 2.3.4, 2.4.7, 3.0.1, 3.1.0, 3.2.0
    • 2.4.8, 3.0.2, 3.1.0
    • SQL

    Description

      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"))
              }
            }
          }
        })
      }
      

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            angerszhuuu angerszhu
            angerszhuuu angerszhu
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              Updated:
              Resolved:

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