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  1. Spark
  2. SPARK-32234

Spark sql commands are failing on select Queries for the orc tables

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Blocker
    • Resolution: Fixed
    • Affects Version/s: 3.0.0
    • Fix Version/s: 3.0.1, 3.1.0
    • Component/s: SQL
    • Labels:
      None
    • Target Version/s:

      Description

      Spark sql commands are failing on select Queries for the orc tables

      Steps to reproduce

       

      val table = """CREATE TABLE `date_dim` (
        `d_date_sk` INT,
        `d_date_id` STRING,
        `d_date` TIMESTAMP,
        `d_month_seq` INT,
        `d_week_seq` INT,
        `d_quarter_seq` INT,
        `d_year` INT,
        `d_dow` INT,
        `d_moy` INT,
        `d_dom` INT,
        `d_qoy` INT,
        `d_fy_year` INT,
        `d_fy_quarter_seq` INT,
        `d_fy_week_seq` INT,
        `d_day_name` STRING,
        `d_quarter_name` STRING,
        `d_holiday` STRING,
        `d_weekend` STRING,
        `d_following_holiday` STRING,
        `d_first_dom` INT,
        `d_last_dom` INT,
        `d_same_day_ly` INT,
        `d_same_day_lq` INT,
        `d_current_day` STRING,
        `d_current_week` STRING,
        `d_current_month` STRING,
        `d_current_quarter` STRING,
        `d_current_year` STRING)
      USING orc
      LOCATION '/Users/test/tpcds_scale5data/date_dim'
      TBLPROPERTIES (
        'transient_lastDdlTime' = '1574682806')"""
      
      spark.sql(table).collect
      
      val u = """select date_dim.d_date_id from date_dim limit 5"""
      
      spark.sql(u).collect
      

       

       

      Exception

       

      org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, 192.168.0.103, executor driver): java.lang.ArrayIndexOutOfBoundsException: 1
          at org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.initBatch(OrcColumnarBatchReader.java:156)
          at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat.$anonfun$buildReaderWithPartitionValues$7(OrcFileFormat.scala:258)
          at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:141)
          at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:203)
          at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116)
          at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:620)
          at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
          at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
          at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
          at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
          at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:343)
          at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:895)
          at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:895)
          at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
          at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:372)
          at org.apache.spark.rdd.RDD.iterator(RDD.scala:336)
          at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
          at org.apache.spark.scheduler.Task.run(Task.scala:133)
          at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:445)
          at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1489)
          at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:448)
          at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
          at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
          at java.lang.Thread.run(Thread.java:748)
      
      

       

       

      The reason behind this initBatch is not getting the schema that is needed to find out the column value in OrcFileFormat.scala

       

      batchReader.initBatch(
       TypeDescription.fromString(resultSchemaString)

       

      Query is working if 

      val u = """select * from date_dim limit 5"""

       

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            • Assignee:
              saurabhc100 Saurabh Chawla
              Reporter:
              saurabhc100 Saurabh Chawla

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              • Created:
                Updated:
                Resolved:

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