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https://issues.apache.org/jira/browse/SPARK-32234?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-32234:
------------------------------------
Assignee: (was: Apache Spark)
> 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
> Priority: Major
>
> 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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