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From "Moore, Douglas" <>
Subject Re: Hive Generic UDF invoking Hbase
Date Wed, 30 Sep 2015 03:24:53 GMT
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

To answer your question though, you can look at the yarn job 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 <<>>


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,

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