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  1. Spark
  2. SPARK-22972

Couldn't find corresponding Hive SerDe for data source provider org.apache.spark.sql.hive.orc.

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 2.2.1
    • 2.2.2, 2.3.0
    • SQL
    • None

    Description

      There is error when running test code:

        test("create orc table") {
          spark.sql(
            s"""CREATE TABLE normal_orc_as_source_hive
               |USING org.apache.spark.sql.hive.orc
               |OPTIONS (
               |  PATH '${new File(orcTableAsDir.getAbsolutePath).toURI}'
               |)
             """.stripMargin)
          val df = spark.sql("select * from normal_orc_as_source_hive")
          spark.sql("desc formatted normal_orc_as_source_hive").show()
        }
      

      warning:

      05:00:44.038 WARN org.apache.spark.sql.hive.test.TestHiveExternalCatalog: Couldn't find corresponding Hive SerDe for data source provider org.apache.spark.sql.hive.orc. Persisting data source table `default`.`normal_orc_as_source_hive` into Hive metastore in Spark SQL specific format, which is NOT compatible with Hive.
      
      

      Root cause analysis:
      ORC related code is incorrect in HiveSerDe :

      
      org.apache.spark.sql.internal.HiveSerDe#sourceToSerDe
      
        def sourceToSerDe(source: String): Option[HiveSerDe] = {
          val key = source.toLowerCase(Locale.ROOT) match {
            case s if s.startsWith("org.apache.spark.sql.parquet") => "parquet"
            case s if s.startsWith("org.apache.spark.sql.orc") => "orc"
            case s if s.equals("orcfile") => "orc"
            case s if s.equals("parquetfile") => "parquet"
            case s if s.equals("avrofile") => "avro"
            case s => s
          }
      

      Solution:

      change "org.apache.spark.sql.orc“ to "org.apache.spark.sql.hive.orc"

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            xubo245 Bo Xu
            xubo245 Bo Xu
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              Updated:
              Resolved:

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