Incremental Data Processing With Hive UDAF

Hi All, In order to achieve above I am researching on the feasibility of using a set of custom UADFs for distributive aggregate operations (e.g: sum, count etc..). Idea is to incorporate some state persisted from earlier aggregations to the current aggregation value inside merge of the UDAF. For d

Re: Best practice for automating jobs

Thank you all very much for your feedback and ideas! --Tom On Fri, Jan 11, 2013 at 11:56 AM, Manish Malhotra wrote: > When you are using Cli library ... it internally uses ZK or configured / > support locking service, so no extra effort is required to do that. > > Though there is a patch for hiv

Re: Best practice for automating jobs

When you are using Cli library ... it internally uses ZK or configured / support locking service, so no extra effort is required to do that. Though there is a patch for hiveserver leak zookeeper HIVE-3723 , which people are trying on 0.9 and 0.10. Regards, Manish On Thu, Jan 10, 2013 at 11:23 P

Re:

Please send an email to user-unsubscr...@hive.apache.org and you should be set. Cheers, Chris From: , dilshad mailto:dilshad.a...@fisglobal.com>> Reply-To: "user@hive.apache.org" mailto:user@hive.apache.org>> Date: Friday, January 11, 2013 4:44 AM To: "user@hive.apa

Re: Stack function in Hive : how to specify multiple aliases?

Yep, that worked. As suggested by Nitin, LATERAL VIEW is a helpful too, and here's the syntax : SELECT Id, Name, App, Byte, Packet FROM testApp2 LATERAL VIEW stack(2,AppWeb, ByteWeb, PacketWeb, AppP2P, ByteP2P, PacketP2P) T AS App,Byte,Packet ; Thanks for your help guys, Mathieu 2013/1/10

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unsubscribe Thanks & Regards, Dilshad Amar IT Specialist - Global Commercial Services _ The information contained in this message is proprietary and/or confidential. If you are not the intended recipient, please: (i) delete the message and all copies; (ii) do not disclose, distribu

[ANNOUNCE] Apache Hive 0.10.0 Released

The Apache Hive team is proud to announce the the release of Apache Hive version 0.10.0. The Apache Hive (TM) data warehouse software facilitates querying and managing large datasets residing in distributed storage. Built on top of Apache Hadoop (TM), it provides: * Tools to enable easy data extr