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Saisai Shao commented on SPARK-15683: ------------------------------------- Hi [~tgraves], please see this JIRA SPARK-15659, I submitted a patch about it. > spark sql local FS spark.sql.warehouse.dir throws on YARN > --------------------------------------------------------- > > Key: SPARK-15683 > URL: https://issues.apache.org/jira/browse/SPARK-15683 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.0 > Reporter: Thomas Graves > Priority: Critical > > I'm trying to use dataframes with spark 2.0. It was built with hive but when > I try to run a dataframe command I get the error: > 16/05/31 20:24:21 ERROR ApplicationMaster: User class threw exception: > java.lang.IllegalArgumentException: Wrong FS: > file:/grid/2/tmp/yarn-local/usercache/tgraves/appcache/application_1464289177693_1036410/container_e14_1464289177693_1036410_01_000001/spark-warehouse, > expected: hdfs://nn1.com:8020 > java.lang.IllegalArgumentException: Wrong FS: > file:/grid/2/tmp/yarn-local/usercache/tgraves/appcache/application_1464289177693_1036410/container_e14_1464289177693_1036410_01_000001/spark-warehouse, > expected: hdfs://nn1.com:8020 > at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:648) > at > org.apache.hadoop.hdfs.DistributedFileSystem.getPathName(DistributedFileSystem.java:194) > at > org.apache.hadoop.hdfs.DistributedFileSystem.access$000(DistributedFileSystem.java:106) > at > org.apache.hadoop.hdfs.DistributedFileSystem$21.doCall(DistributedFileSystem.java:1047) > at > org.apache.hadoop.hdfs.DistributedFileSystem$21.doCall(DistributedFileSystem.java:1043) > at > org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) > at > org.apache.hadoop.hdfs.DistributedFileSystem.mkdirsInternal(DistributedFileSystem.java:1061) > at > org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:1036) > at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:1880) > at > org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.liftedTree1$1(InMemoryCatalog.scala:123) > at > org.apache.spark.sql.catalyst.catalog.InMemoryCatalog.createDatabase(InMemoryCatalog.scala:122) > at > org.apache.spark.sql.catalyst.catalog.SessionCatalog.createDatabase(SessionCatalog.scala:142) > at > org.apache.spark.sql.catalyst.catalog.SessionCatalog.<init>(SessionCatalog.scala:84) > at > org.apache.spark.sql.internal.SessionState.catalog$lzycompute(SessionState.scala:94) > at > org.apache.spark.sql.internal.SessionState.catalog(SessionState.scala:94) > at > org.apache.spark.sql.internal.SessionState$$anon$1.<init>(SessionState.scala:110) > at > org.apache.spark.sql.internal.SessionState.analyzer$lzycompute(SessionState.scala:110) > at > org.apache.spark.sql.internal.SessionState.analyzer(SessionState.scala:109) > at > org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:48) > at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:62) > at > org.apache.spark.sql.SparkSession.baseRelationToDataFrame(SparkSession.scala:371) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:154) > at > org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:419) > at yahoo.spark.SparkFlickrLargeJoin$.main(SparkFlickrLargeJoin.scala:26) > at yahoo.spark.SparkFlickrLargeJoin.main(SparkFlickrLargeJoin.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:497) > at > org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:617) > It seems https://issues.apache.org/jira/browse/SPARK-15565 change it to have > default local fs. Even before that it didn't work either, just different > error -> https://issues.apache.org/jira/browse/SPARK-15034. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org