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Saurabh Chawla commented on SPARK-32234: ---------------------------------------- [~ramks] - We faced the similar issue in spark3.0.0. After applying this fix , we are not facing this issue. > Spark sql commands are failing on select Queries for 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 > Assignee: Saurabh Chawla > Priority: Blocker > Fix For: 3.0.1, 3.1.0 > > Attachments: e17f6887c06d47f6a62c0140c1ad569c_000000 > > > Spark sql commands are failing on select Queries for 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} > -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org