Hi Manoj, "RAM= 256 MB", is this true?
2018-02-01 16:17 GMT+08:00 Alberto Ramón <[email protected]>: > How many process are you runing in parallel? In build cube step > > On 1 Feb 2018 7:39 a.m., "Kumar, Manoj H" <[email protected]> > wrote: > >> We have 15 nodes & each nodes have 8 cores. RAM= 256 MB. >> >> >> >> I don’t think memory is issue here. >> >> >> >> Regards, >> >> Manoj >> >> >> >> *From:* Alberto Ramón [[email protected]] >> *Sent:* Thursday, February 01, 2018 1:33 AM >> *To:* user <[email protected]> >> *Subject:* Re: Optimize Cube Build process >> >> >> >> How many nodes do you have? >> >> how many RAM and CPU do you have per node? >> >> >> >> On 31 January 2018 at 05:07, Kumar, Manoj H <[email protected]> >> wrote: >> >> It has close to 68 mapper & reducers 500.. It keeps running on this. Pls. >> advise. >> >> [image: cid:[email protected]] >> >> >> >> Regards, >> >> Manoj >> >> >> >> *From:* Kumar, Manoj H >> *Sent:* Wednesday, January 31, 2018 9:24 AM >> *To:* '[email protected]' <[email protected]> >> *Subject:* Optimize Cube Build process >> >> >> >> Hi Folks – I have close to 33 million of fact data to be processed, Data >> is having lot of unique/Distinct values such Loan_unique_code, >> Facility_code,card_id such.. Dimension looks up are made of these. >> >> >> >> Fact table – 33 millions >> >> Looks up tables having to 3 to 4 millions >> >> Cube build type I have chosen – inmem >> >> Engine – Mapreduce >> >> >> >> Cube build step is taking 90 minutes which is seems to be high. What I >> can do in order to minimize build time? What Parameter I should tweak so >> that Build time gets reduced. Thanks. >> >> >> >> >> >> I have Followed the same steps as given below but it doesn’t help in this >> case >> >> >> >> http://kylin.apache.org/docs21/howto/howto_optimize_build.html >> >> >> >> >> >> Regards, >> >> Manoj >> >> >> >> This message is confidential and subject to terms at: http:// >> www.jpmorgan.com/emaildisclaimer including on confidentiality, legal >> privilege, viruses and monitoring of electronic messages. If you are not >> the intended recipient, please delete this message and notify the sender >> immediately. Any unauthorized use is strictly prohibited. >> >> >> >> This message is confidential and subject to terms at: http:// >> www.jpmorgan.com/emaildisclaimer including on confidentiality, legal >> privilege, viruses and monitoring of electronic messages. If you are not >> the intended recipient, please delete this message and notify the sender >> immediately. Any unauthorized use is strictly prohibited. >> > -- Best regards, Shaofeng Shi 史少锋
