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How did you build your Spark 1.3. Was that from the source code or pre-build for Hadoop 2.6 please? The one I have 1. Spark version 1.5.2 2. Hive version 1.2.1 3. Hadoop version 2.6 Does not work with Hive on Spark Mich Talebzadeh Sybase ASE 15 Gold Medal Award 2008 A Winning Strategy: Running the most Critical Financial Data on ASE 15 http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", ISBN 978-0-9563693-0-7. co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 978-0-9759693-0-4 Publications due shortly: Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8 Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one out shortly http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> NOTE: The information in this email is proprietary and confidential. This message is for the designated recipient only, if you are not the intended recipient, you should destroy it immediately. Any information in this message shall not be understood as given or endorsed by Peridale Technology Ltd, its subsidiaries or their employees, unless expressly so stated. It is the responsibility of the recipient to ensure that this email is virus free, therefore neither Peridale Ltd, its subsidiaries nor their employees accept any responsibility. From: Udit Mehta [mailto:ume...@groupon.com] Sent: 02 December 2015 23:43 To: user@hive.apache.org Subject: Re: Hive on spark table caching Im using Spark 1.3 with Hive 1.2.1. I dont mind using a version of Spark higher than that but I read somewhere that 1.3 is the version of Spark currently supported by Hive. Can I use Spark 1.4 or 1.5 with Hive 1.2.1? On Wed, Dec 2, 2015 at 3:19 PM, Mich Talebzadeh <m...@peridale.co.uk <mailto:m...@peridale.co.uk> > wrote: Hi, Which version of spark are you using please? Mich Talebzadeh Sybase ASE 15 Gold Medal Award 2008 A Winning Strategy: Running the most Critical Financial Data on ASE 15 http://login.sybase.com/files/Product_Overviews/ASE-Winning-Strategy-091908.pdf <https://urldefense.proofpoint.com/v2/url?u=http-3A__login.sybase.com_files_Product-5FOverviews_ASE-2DWinning-2DStrategy-2D091908.pdf&d=CwMFaQ&c=LNdz7nrxyGFUIUTz2qIULQ&r=HtcUckpQd4kosOR2p8M5TR9HIZCAYDjZ-hXCa7BOA8s&m=tmCKqNuqXObnpIHLHjchVBKzvP-a-Cf9rJX8pYVyFwg&s=ywSlj9sSTCyGzGqFcS_R3QekFLuEUHjwuxfkG5kXJgk&e=> Author of the books "A Practitioner’s Guide to Upgrading to Sybase ASE 15", ISBN 978-0-9563693-0-7. co-author "Sybase Transact SQL Guidelines Best Practices", ISBN 978-0-9759693-0-4 Publications due shortly: Complex Event Processing in Heterogeneous Environments, ISBN: 978-0-9563693-3-8 Oracle and Sybase, Concepts and Contrasts, ISBN: 978-0-9563693-1-4, volume one out shortly http://talebzadehmich.wordpress.com <https://urldefense.proofpoint.com/v2/url?u=http-3A__talebzadehmich.wordpress.com_&d=CwMFaQ&c=LNdz7nrxyGFUIUTz2qIULQ&r=HtcUckpQd4kosOR2p8M5TR9HIZCAYDjZ-hXCa7BOA8s&m=tmCKqNuqXObnpIHLHjchVBKzvP-a-Cf9rJX8pYVyFwg&s=RGzdspRcDSHc6I8C1iNijlPc3DmGSAvYv14pVHD6RSI&e=> NOTE: The information in this email is proprietary and confidential. This message is for the designated recipient only, if you are not the intended recipient, you should destroy it immediately. Any information in this message shall not be understood as given or endorsed by Peridale Technology Ltd, its subsidiaries or their employees, unless expressly so stated. It is the responsibility of the recipient to ensure that this email is virus free, therefore neither Peridale Ltd, its subsidiaries nor their employees accept any responsibility. From: Udit Mehta [mailto:ume...@groupon.com <mailto:ume...@groupon.com> ] Sent: 02 December 2015 23:01 To: user@hive.apache.org <mailto:user@hive.apache.org> Subject: Hive on spark table caching Hi, I have started using Hive on Spark recently and am exploring the benefits it offers. I was wondering if Hive on Spark has capabilities to cache table like Spark SQL. Or does it do any form of implicit caching in the long running job which it starts after running the first query? Thanks, Udit
