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} -- 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