[ https://issues.apache.org/jira/browse/HIVE-17225?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sahil Takiar updated HIVE-17225: -------------------------------- Description: Setup: {code:sql} SET hive.spark.dynamic.partition.pruning=true; SET hive.strict.checks.cartesian.product=false; SET hive.auto.convert.join=true; CREATE TABLE partitioned_table1 (col int) PARTITIONED BY (part_col int); CREATE TABLE regular_table1 (col1 int, col2 int); CREATE TABLE regular_table2 (col1 int, col2 int); ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 1); ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 2); ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 3); INSERT INTO table regular_table1 VALUES (0, 0), (1, 1), (2, 2); INSERT INTO table regular_table2 VALUES (0, 0), (1, 1), (2, 2); INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 1) VALUES (1), (2), (3); INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 2) VALUES (1), (2), (3); INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 3) VALUES (1), (2), (3); SELECT * FROM regular_table1, regular_table2, partitioned_table1 WHERE partitioned_table1.part_col IN (SELECT regular_table1.col2 FROM regular_table1 WHERE regular_table1.col1 > 0) AND partitioned_table1.part_col IN (SELECT regular_table2.col2 FROM regular_table2 WHERE regular_table2.col1 > 1); {code} Exception: {code} 2017-08-01T13:27:47,483 ERROR [b0d354a8-4cdb-4ba9-acec-27d14926aaf4 main] ql.Driver: FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.spark.SparkTask. java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:408) at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:498) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.immutable.List.map(List.scala:285) at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.immutable.List.map(List.scala:285) at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.immutable.List.map(List.scala:285) at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:127) at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:125) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) at org.apache.spark.rdd.AsyncRDDActions.foreachAsync(AsyncRDDActions.scala:125) at org.apache.spark.api.java.JavaRDDLike$class.foreachAsync(JavaRDDLike.scala:731) at org.apache.spark.api.java.AbstractJavaRDDLike.foreachAsync(JavaRDDLike.scala:45) at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:351) at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:358) at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:323) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:147) at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.prune(SparkDynamicPartitionPruner.java:76) at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:406) ... 62 more Caused by: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:431) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1517) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1557) at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:674) at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:119) ... 64 more {code} was: Setup: {code:sql} SET hive.spark.dynamic.partition.pruning=true; SET hive.strict.checks.cartesian.product=false; CREATE TABLE partitioned_table1 (col int) PARTITIONED BY (part_col int); CREATE TABLE regular_table1 (col1 int, col2 int); CREATE TABLE regular_table2 (col1 int, col2 int); ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 1); ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 2); ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 3); INSERT INTO table regular_table1 VALUES (0, 0), (1, 1), (2, 2); INSERT INTO table regular_table2 VALUES (0, 0), (1, 1), (2, 2); INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 1) VALUES (1), (2), (3); INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 2) VALUES (1), (2), (3); INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 3) VALUES (1), (2), (3); SELECT * FROM regular_table1, regular_table2, partitioned_table1 WHERE partitioned_table1.part_col IN (SELECT regular_table1.col2 FROM regular_table1 WHERE regular_table1.col1 > 0) AND partitioned_table1.part_col IN (SELECT regular_table2.col2 FROM regular_table2 WHERE regular_table2.col1 > 1); {code} Exception: {code} 2017-08-01T13:27:47,483 ERROR [b0d354a8-4cdb-4ba9-acec-27d14926aaf4 main] ql.Driver: FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.spark.SparkTask. java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:408) at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:498) at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.immutable.List.map(List.scala:285) at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.immutable.List.map(List.scala:285) at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.immutable.List.foreach(List.scala:381) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.immutable.List.map(List.scala:285) at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:127) at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:125) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) at org.apache.spark.rdd.AsyncRDDActions.foreachAsync(AsyncRDDActions.scala:125) at org.apache.spark.api.java.JavaRDDLike$class.foreachAsync(JavaRDDLike.scala:731) at org.apache.spark.api.java.AbstractJavaRDDLike.foreachAsync(JavaRDDLike.scala:45) at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:351) at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:358) at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:323) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:147) at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.prune(SparkDynamicPartitionPruner.java:76) at org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:406) ... 62 more Caused by: java.io.FileNotFoundException: File file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 does not exist at org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:431) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1517) at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1557) at org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:674) at org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:119) ... 64 more {code} > FileNotFoundException in HiveInputFormat#init for query HoS DPP query with > multiple left semi-joins against the same partition column > ------------------------------------------------------------------------------------------------------------------------------------- > > Key: HIVE-17225 > URL: https://issues.apache.org/jira/browse/HIVE-17225 > Project: Hive > Issue Type: Sub-task > Components: Spark > Affects Versions: 3.0.0 > Reporter: Sahil Takiar > Assignee: Sahil Takiar > > Setup: > {code:sql} > SET hive.spark.dynamic.partition.pruning=true; > SET hive.strict.checks.cartesian.product=false; > SET hive.auto.convert.join=true; > CREATE TABLE partitioned_table1 (col int) PARTITIONED BY (part_col int); > CREATE TABLE regular_table1 (col1 int, col2 int); > CREATE TABLE regular_table2 (col1 int, col2 int); > ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 1); > ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 2); > ALTER TABLE partitioned_table1 ADD PARTITION (part_col = 3); > INSERT INTO table regular_table1 VALUES (0, 0), (1, 1), (2, 2); > INSERT INTO table regular_table2 VALUES (0, 0), (1, 1), (2, 2); > INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 1) VALUES (1), > (2), (3); > INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 2) VALUES (1), > (2), (3); > INSERT INTO TABLE partitioned_table1 PARTITION (part_col = 3) VALUES (1), > (2), (3); > SELECT * > FROM regular_table1, > regular_table2, > partitioned_table1 > WHERE partitioned_table1.part_col IN (SELECT regular_table1.col2 > FROM regular_table1 > WHERE regular_table1.col1 > 0) > AND partitioned_table1.part_col IN (SELECT regular_table2.col2 > FROM regular_table2 > WHERE regular_table2.col1 > 1); > {code} > Exception: > {code} > 2017-08-01T13:27:47,483 ERROR [b0d354a8-4cdb-4ba9-acec-27d14926aaf4 main] > ql.Driver: FAILED: Execution Error, return code 3 from > org.apache.hadoop.hive.ql.exec.spark.SparkTask. java.lang.RuntimeException: > org.apache.hadoop.hive.ql.metadata.HiveException: > java.io.FileNotFoundException: File > file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 > does not exist > at > org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:408) > at > org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:498) > at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) > at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) > at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at scala.collection.immutable.List.foreach(List.scala:381) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.immutable.List.map(List.scala:285) > at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) > at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) > at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at scala.collection.immutable.List.foreach(List.scala:381) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.immutable.List.map(List.scala:285) > at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) > at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) > at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:82) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at > scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) > at scala.collection.immutable.List.foreach(List.scala:381) > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) > at scala.collection.immutable.List.map(List.scala:285) > at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:82) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:248) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:246) > at scala.Option.getOrElse(Option.scala:121) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:246) > at > org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:127) > at > org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1.apply(AsyncRDDActions.scala:125) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:358) > at > org.apache.spark.rdd.AsyncRDDActions.foreachAsync(AsyncRDDActions.scala:125) > at > org.apache.spark.api.java.JavaRDDLike$class.foreachAsync(JavaRDDLike.scala:731) > at > org.apache.spark.api.java.AbstractJavaRDDLike.foreachAsync(JavaRDDLike.scala:45) > at > org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:351) > at > org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:358) > at > org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:323) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: > java.io.FileNotFoundException: File > file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 > does not exist > at > org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:147) > at > org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.prune(SparkDynamicPartitionPruner.java:76) > at > org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:406) > ... 62 more > Caused by: java.io.FileNotFoundException: File > file:/Users/stakiar/Documents/idea/apache-hive/itests/qtest-spark/target/tmp/scratchdir/stakiar/b0d354a8-4cdb-4ba9-acec-27d14926aaf4/hive_2017-08-01_13-27-45_553_1088589686371686526-1/-mr-10004/3/5 > does not exist > at > org.apache.hadoop.fs.RawLocalFileSystem.listStatus(RawLocalFileSystem.java:431) > at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1517) > at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1557) > at > org.apache.hadoop.fs.ChecksumFileSystem.listStatus(ChecksumFileSystem.java:674) > at > org.apache.hadoop.hive.ql.exec.spark.SparkDynamicPartitionPruner.processFiles(SparkDynamicPartitionPruner.java:119) > ... 64 more > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029)