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  1. Spark
  2. SPARK-23348

append data using saveAsTable should adjust the data types

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.0.2, 2.1.2, 2.2.1, 2.3.0
    • Fix Version/s: 2.3.0
    • Component/s: SQL
    • Labels:
      None

      Description

       

      Seq(1 -> "a").toDF("i", "j").write.saveAsTable("t")
      
      Seq("c" -> 3).toDF("i", "j").write.mode("append").saveAsTable("t")
      
      scala> sql("select * from t").show
      

       
      This query will fail with a strange error:

      org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 10.0 failed 1 times, most recent failure: Lost task 1.0 in stage 10.0 (TID 15, localhost, executor driver): java.lang.UnsupportedOperationException: Unimplemented type: IntegerType
       at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBinaryBatch(VectorizedColumnReader.java:473)
       at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:214)
       at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:261)
      ...
      

       
      All Spark 2.X are the same. For Spark 1.6.3,

      scala> sql("select * from tx").show
      +----+---+
      |   i|  j|
      +----+---+
      |null|  3|
      |   1|  a|
      +----+---+
      

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            • Assignee:
              cloud_fan Wenchen Fan
              Reporter:
              cloud_fan Wenchen Fan
            • Votes:
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              Dates

              • Created:
                Updated:
                Resolved: