Take a look at hive.fetch.task.conversion in https://cwiki.apache.org/confluence/display/Hive/Configuration+Properties?, try setting to "none" or "minimal"
________________________________ From: Ryan Harris <ryan.har...@zionsbancorp.com> Sent: Wednesday, September 30, 2015 9:19 AM To: user@hive.apache.org Subject: RE: Hive Generic UDF invoking Hbase This may be a bit of 'hack' but I've found that basic select-only operations will often cause Hive to stream data without running the job through an actual MR phase. That would typically be a logical approach for a "give me everything" query if it were not for the UDF... try adding a basic where clause to the query and see if that changes the behavior... e.g. SELECT membership(c1,c2,c3,c4,c5,c5,c7) from MemberTable where c1 is not NULL; From: Yogesh Keshetty [mailto:yogesh.keshe...@outlook.com] Sent: Tuesday, September 29, 2015 11:02 PM To: Hive community Subject: RE: Hive Generic UDF invoking Hbase 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<mailto: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 ________________________________ THIS ELECTRONIC MESSAGE, INCLUDING ANY ACCOMPANYING DOCUMENTS, IS CONFIDENTIAL and may contain information that is privileged and exempt from disclosure under applicable law. If you are neither the intended recipient nor responsible for delivering the message to the intended recipient, please note that any dissemination, distribution, copying or the taking of any action in reliance upon the message is strictly prohibited. If you have received this communication in error, please notify the sender immediately. Thank you.
