/user/hive/warehouse is a hdfs location.
I’ve changed the mod for this location but I’m still having the same issue.
hduser@hadoop01-VirtualBox:/opt/spark/bin$ hdfs dfs -chmod -R 777 /user/hive
hduser@hadoop01-VirtualBox:/opt/spark/bin$ hdfs dfs -ls /user/hive/warehouse
Found 1 items
15/03/18 09:31:47 INFO DAGScheduler: Stage 3 (runJob at newParquet.scala:648)
finished in 0.347 s
15/03/18 09:31:47 INFO DAGScheduler: Job 3 finished: runJob at
newParquet.scala:648, took 0.549170 s
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/spark/python/pyspark/sql/dataframe.py", line 191, in saveAsTable
self._jdf.saveAsTable(tableName, source, jmode, joptions)
File "/opt/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line
538, in __call__
File "/opt/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300,
in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o49.saveAsTable.
: java.io.IOException: Failed to rename
DeprecatedRawLocalFileStatus{path=file:/user/hive/warehouse/order04/_temporary/0/task_201503180931_0017_r_000001/part-r-00002.parquet;
isDirectory=false; length=5591; replication=1; blocksize=33554432;
modification_time=1426696307000; access_time=0; owner=; group=;
permission=rw-rw-rw-; isSymlink=false} to
file:/user/hive/warehouse/order04/part-r-00002.parquet
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:346)
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:362)
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:310)
at
parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:43)
at
org.apache.spark.sql.parquet.ParquetRelation2.insert(newParquet.scala:649)
at
org.apache.spark.sql.parquet.DefaultSource.createRelation(newParquet.scala:126)
at
org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:308)
at
org.apache.spark.sql.hive.execution.CreateMetastoreDataSourceAsSelect.run(commands.scala:217)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:55)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:55)
at
org.apache.spark.sql.execution.ExecutedCommand.execute(commands.scala:65)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:1088)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:1088)
at
org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1048)
at
org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1018)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
any help is appreciated.
Thanks
From: fightf...@163.com [mailto:fightf...@163.com]
Sent: March-17-15 6:33 PM
To: Shahdad Moradi; user
Subject: Re: saveAsTable fails to save RDD in Spark SQL 1.3.0
Looks like some authentification issues. Can you check that your current user
had authority to operate (maybe r/w/x) on /user/hive/warehouse?
Thanks,
Sun.
________________________________
fightf...@163.com<mailto:fightf...@163.com>
From: smoradi<mailto:smor...@currenex.com>
Date: 2015-03-18 09:24
To: user<mailto:user@spark.apache.org>
Subject: saveAsTable fails to save RDD in Spark SQL 1.3.0
Hi,
Basically my goal is to make the Spark SQL RDDs available to Tableau
software through Simba ODBC driver.
I’m running standalone Spark 1.3.0 on Ubuntu 14.04. Got the source code and
complied it with maven.
Hive is also setup and connected to mysql all on a the same machine. The
hive-site.xml file has been copied to spark/conf. Here is the content of the
hive-site.xml:
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:MySql://localhost:3306/metastore_db?createDatabaseIfNotExist=true</value>
<description>metadata is stored in a MySQL server</description>
</property>
<property>
<name>hive.metastore.schema.verification</name>
<value>false</value>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>MySQL JDBC driver class</description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hiveuser</value>
<description>user name for connecting to mysql server
</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hivepassword</value>
<description>password for connecting to mysql server
</description>
</property>
</configuration>
Both hive and mysql work just fine. I can create a table with Hive and find
it in mysql.
The thriftserver is also configured and connected to the spark master.
Everything works just fine and I can monitor all the workers and running
applications through spark master UI.
I have a very simple python script to convert a json file to an RDD like
this:
import json
def transform(data):
ts = data[:25].strip()
jss = data[41:].strip()
jsj = json.loads(jss)
jsj['ts'] = ts
return json.dumps(jsj)
from pyspark.sql import HiveContext
sqlContext = HiveContext(sc)
rdd = sc.textFile("myfile")
tbl = sqlContext.jsonRDD(rdd.map(transform))
tbl.saveAsTable("neworder")
the saveAsTable fails with this:
15/03/17 17:22:17 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks
have all completed, from pool
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/spark/python/pyspark/sql/dataframe.py", line 191, in
saveAsTable
self._jdf.saveAsTable(tableName, source, jmode, joptions)
File "/opt/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File "/opt/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line
300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
o31.saveAsTable.
: java.io.IOException: Failed to rename
DeprecatedRawLocalFileStatus{path=file:/user/hive/warehouse/neworder/_temporary/0/task_201503171618_0008_r_000001/part-r-00002.parquet;
isDirectory=false; length=5591; replication=1; blocksize=33554432;
modification_time=1426634300000; access_time=0; owner=; group=;
permission=rw-rw-rw-; isSymlink=false} to
file:/user/hive/warehouse/neworder/part-r-00002.parquet
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:346)
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.mergePaths(FileOutputCommitter.java:362)
at
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:310)
at
parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:43)
at
org.apache.spark.sql.parquet.ParquetRelation2.insert(newParquet.scala:649)
at
org.apache.spark.sql.parquet.DefaultSource.createRelation(newParquet.scala:126)
at
org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:308)
at
org.apache.spark.sql.hive.execution.CreateMetastoreDataSourceAsSelect.run(commands.scala:217)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:55)
at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:55)
at
org.apache.spark.sql.execution.ExecutedCommand.execute(commands.scala:65)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:1088)
at
org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:1088)
at
org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1048)
at
org.apache.spark.sql.DataFrame.saveAsTable(DataFrame.scala:1018)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native
Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
/user/hive/warehouse is a hadoop hdfs location. The source file also is on
hdfs.
Any help is appreciated.
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