Hi Sean, I thought so too, but the path "file:/user/hive/warehouse/" should not have been used in the first place, should it? I'm running it in spark-shell 2.3.2. Why would there be any changes between 2.3.1 and 2.3.2 that I just downloaded and one worked fine while the other did not? I had to downgrade to 2.3.1 because of this (and do want to figure out why 2.3.2 behaves in a different way).
The part of the stack trace is below. ➜ spark-2.3.2-bin-hadoop2.7 ./bin/spark-shell 2018-09-30 17:43:49 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://192.168.0.186:4040 Spark context available as 'sc' (master = local[*], app id = local-1538322235135). Spark session available as 'spark'. Welcome to ____ __ / __/__ ___ _____/ /__ _\ \/ _ \/ _ `/ __/ '_/ /___/ .__/\_,_/_/ /_/\_\ version 2.3.2 /_/ Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_171) Type in expressions to have them evaluated. Type :help for more information. scala> spark.version res0: String = 2.3.2 scala> spark.range(1).write.saveAsTable("demo") 2018-09-30 17:44:27 WARN ObjectStore:568 - Failed to get database global_temp, returning NoSuchObjectException 2018-09-30 17:44:28 ERROR FileOutputCommitter:314 - Mkdirs failed to create file:/user/hive/warehouse/demo/_temporary/0 2018-09-30 17:44:28 ERROR Utils:91 - Aborting task java.io.IOException: Mkdirs failed to create file:/user/hive/warehouse/demo/_temporary/0/_temporary/attempt_20180930174428_0000_m_000007_0 (exists=false, cwd=file:/Users/jacek/dev/apps/spark-2.3.2-bin-hadoop2.7) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.<init>(ParquetFileWriter.java:241) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:342) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:302) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFileFormat.scala:151) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.newOutputWriter(FileFormatWriter.scala:367) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:378) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:269) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:267) at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1415) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:197) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:196) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:109) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) 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) Pozdrawiam, Jacek Laskowski ---- https://about.me/JacekLaskowski Mastering Spark SQL https://bit.ly/mastering-spark-sql Spark Structured Streaming https://bit.ly/spark-structured-streaming Mastering Kafka Streams https://bit.ly/mastering-kafka-streams Follow me at https://twitter.com/jaceklaskowski On Sat, Sep 29, 2018 at 9:50 PM Sean Owen <sro...@gmail.com> wrote: > Looks like a permission issue? Are you sure that isn't the difference, > first? > > On Sat, Sep 29, 2018, 1:54 PM Jacek Laskowski <ja...@japila.pl> wrote: > >> Hi, >> >> The following query fails in 2.3.2: >> >> scala> spark.range(10).write.saveAsTable("t1") >> ... >> 2018-09-29 20:48:06 ERROR FileOutputCommitter:314 - Mkdirs failed to >> create file:/user/hive/warehouse/bucketed/_temporary/0 >> 2018-09-29 20:48:07 ERROR Utils:91 - Aborting task >> java.io.IOException: Mkdirs failed to create >> file:/user/hive/warehouse/bucketed/_temporary/0/_temporary/attempt_20180929204807_0000_m_000003_0 >> (exists=false, cwd=file:/Users/jacek/dev/apps/spark-2.3.2-bin-hadoop2.7) >> at >> org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) >> at >> org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) >> at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) >> >> While it works fine in 2.3.1. >> >> Could anybody explain the change in behaviour in 2.3.2? The commit / the >> JIRA issue would be even nicer. Thanks. >> >> Pozdrawiam, >> Jacek Laskowski >> ---- >> https://about.me/JacekLaskowski >> Mastering Spark SQL https://bit.ly/mastering-spark-sql >> Spark Structured Streaming https://bit.ly/spark-structured-streaming >> Mastering Kafka Streams https://bit.ly/mastering-kafka-streams >> Follow me at https://twitter.com/jaceklaskowski >> >
