Place  the file on the hiveserver2 host local filesystem . Then try  load 
data local inpath



[email protected]
 
From: Vineet Mishra
Date: 2015-10-21 03:05
To: user
CC: cdh-user
Subject: Re: HiveServer2 load data inpath fails
Any update around this?

0: jdbc:hive2://hadoop-hs2:10000> load data inpath '/data/my_table/' overwrite 
into table mydb.mytable;
Error: Error while processing statement: FAILED: Execution Error, return code 1 
from org.apache.hadoop.hive.ql.exec.MoveTask (state=08S01,code=1)

I couldn't get any possible solution for this. Does it mean HS2 is incapable of 
supporting load data or there's no JIRA open for it?

Version : 0.13.1-cdh5.3.2

On Tue, Oct 20, 2015 at 10:54 PM, Vineet Mishra <[email protected]> wrote:
My data files resides on hdfs and for the given command I guess it will point 
to local filesystem instead of hdfs.
On Oct 20, 2015 10:25 PM, "Vikas Srivastava" <[email protected]> wrote:
You Need to use “load data local inpath”
 
 
From: Vineet Mishra [mailto:[email protected]] 
Sent: Tuesday, October 20, 2015 6:08 PM
To: [email protected]; [email protected] to 
Subject: HiveServer2 load data inpath fails
 
Hi All,
I am trying to run load data inpath to update/refresh my table data in hive. I 
am using HiveServer2 to make jdbc connection and run the following command
load data inpath 'path_to_file_on_hdfs' overwrite into table tablename;
Eventually this query works fine with HiveServer1 through thrift connection but 
fails through jdbc connection on HS2, stack trace mentioned below.
java.sql.SQLException: Error while processing statement: FAILED: Execution 
Error, return code 1 from org.apache.hadoop.hive.ql.exec.MoveTask
at org.apache.hive.jdbc.HiveStatement.execute(HiveStatement.java:277)
at 
com.sd.dwh.sc.tungsten.misc.CommonFunction.executeQuery(CommonFunction.java:813)
at 
com.sd.dwh.sc.tungsten.misc.CommonFunction.dataLoadFromFile(CommonFunction.java:836)
at com.sd.dwh.sc.tungsten.custom.JDBCMaterialize.merge(JDBCMaterialize.java:105)
at com.sd.dwh.sc.tungsten.custom.JDBCMaterialize.run(JDBCMaterialize.java:54)
at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Any suggestions would be highly appreciated.
URGENT CALL.
Thanks!

Reply via email to