Thanks for the reply Douglas.
We haven't set up Tez yet. The default execution mode is MR.I checked the log 
files. There is no indication of map reduce logs for the program. There is no 
map reduce program generated. I can't see the job with "hadoop job -list" 
command too. 
When we were testing the generic UDF's in hive 0.13 for every insertion into 
Hbase hive would trigger MR program. When we migrated to hive 0.14/ 1.0 it 
wouldn't generate any MR for the same activity. I don't know what has changed 
internally. Anyone who has tried to call HBase tables from Hive UDFs? Please 
help us.
Thanks in advance!

From: douglas.mo...@thinkbiganalytics.com
To: user@hive.apache.org
Subject: Re: Hive Generic UDF invoking Hbase
Date: Wed, 30 Sep 2015 03:24:53 +0000






I'm guessing you might now be using tez now where you were using MR before.
You can tell hive to run in map reduce mode, by setting the hive execution 
mode, from within the hive script.



See this page for details
https://cwiki.apache.org/confluence/display/Hive/Configuration+Properties



To answer your question though, you can look at the yarn job logs 
https://hadoop.apache.org/docs/r2.4.1/hadoop-yarn/hadoop-yarn-site/YarnCommands.html#logs
For jobs that have stopped running 
or the scheduler page on the resource manager. The scheduler page will show 
running jobs and how many containers they are using. 



I'm not familiar with the MapR management UIs, they should have a UI to show 
running jobs and you can drill down to see tasks/containers.



Hope this helps


Sent from my iPhone


On Sep 29, 2015, at 9:39 PM, Yogesh Keshetty <yogesh.keshe...@outlook.com> 
wrote:







Hi,
 
I have a quick question about Hive Generic UDF’s. We are trying to do some CRUD 
operations on HBase tables from hive generic UDF. But, the issue here is until 
hive 0.13, it would  generate map reduce task where we could track the status
 of execution. Once we migrated to hive 1.0, it doesn’t show any status, it is 
probably doing a streaming on the data. How can we know if it is using multiple 
mappers for the job?
 
I thought this process would be pretty fast in terms of performance. But, looks 
like it is taking way longer than what we estimated. For 11.2 million records 
it has been more than 8 hours still it is in progress.
 
Use Case:
 
Let us say my table name is “MemberTable”. The generic UDF name is “Membership” 
which accepts
n columns as the parameters to the UDF. Inside the UDF we wrote some internal 
algorithm and insert the values in to multiple hbase tables.
 
Sample Query:
 
CREATE TEMPORARY FUNCTION membership as ‘com.fishbowl.udf.membership’
 
SELECT membership(c1,c2,c3,c4,c5,c5,c7) from MemberTable;
 
 
Cluster info:
4 Node cluster (each 32 GB)
Hive version: 1.0
Hbase Version: 0.98.12
Distro: Mapr 
 



Thanks in advance!



PS: This is really urgent, I hope someone can help us asap.



Thank you,
Yogesh
 


                                          

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