[jira] [Created] (SPARK-32234) Spark sql commands are failing on selecting the orc tables

["Saurabh Chawla (Jira)" <ji...@apache.org>]

Saurabh Chawla created SPARK-32234:
--------------------------------------

             Summary: Spark sql commands are failing on selecting the  orc tables
                 Key: SPARK-32234
                 URL: https://issues.apache.org/jira/browse/SPARK-32234
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Saurabh Chawla


Spark sql commands are failing on selecting the orc tables

Steps to reproduce

 
{code:java}
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
{code}
 

 

Exception

 
{code:java}
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)

{code}
 

 

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

 
{code:java}
batchReader.initBatch(
 TypeDescription.fromString(resultSchemaString){code}
 

Query is working if 
{code:java}
val u = """select * from date_dim limit 5"""{code}
 



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