From: Masataka S. <pg...@gm...> - 2014-06-17 06:11:33
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You can find answers in this report. * https://www.pgecons.org/downloads/43 While this is also written in Japanese, you can apply a machine translator. You can copy and paste all sentences including texts in the figure. Rough summary of their considerations is... * Why the perf result of PostgreSQL decreased -> they had much memories and high-performance CPU in 2012 compared to 2013. * Why the 4XCnode is much more than 4 times faster -> 4X cache memories (sum of cache memory in all data nodes) gave such improvement. On 16 June 2014 13:42, wormwang <wor...@ya...> wrote: > Why the perf result of PostgreSQL decreased from 2084 to 910 at 2012 to > 2013 at the Pgbench results? > and Why the 4XCnode is much more than 4 times faster than 1 PostgreSQL? > > -worm > > On 2014/6/16 9:18, 鈴木 幸市 wrote: >> Scalability result for DBT-1 will be found at https://sourceforge.net/apps/mediawiki/postgres-xc/index.php?title=Scalability >> which is linked from the main page of Postgres-XC Wiki, https://sourceforge.net/apps/mediawiki/postgres-xc/index.php?title=Main_Page >> >> Pgbench result has been published at https://www.pgecons.org/wp-content/uploads/2014/pgecons2013png/wg1_scale-out.png >> Sorry, it is in Japanese. >> >> Regards; >> --- >> Koichi Suzuki >> >> 2014/06/15 19:32、wormwang <wor...@ya...> のメール: >> >>> Hi! guys >>> I want studying Postgres-XC v1.2 for new project. I >>> Where is the benchmark testing of Postgres-XC? I saw a old benchmark >>> in Website, I can't find it now. >>> >>> -worm >>> >>> ------------------------------------------------------------------------------ >>> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions >>> Find What Matters Most in Your Big Data with HPCC Systems >>> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. >>> Leverages Graph Analysis for Fast Processing & Easy Data Exploration >>> http://p.sf.net/sfu/hpccsystems >>> _______________________________________________ >>> Postgres-xc-developers mailing list >>> Pos...@li... >>> https://lists.sourceforge.net/lists/listinfo/postgres-xc-developers >>> > > > ------------------------------------------------------------------------------ > HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions > Find What Matters Most in Your Big Data with HPCC Systems > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. > Leverages Graph Analysis for Fast Processing & Easy Data Exploration > http://p.sf.net/sfu/hpccsystems > _______________________________________________ > Postgres-xc-developers mailing list > Pos...@li... > https://lists.sourceforge.net/lists/listinfo/postgres-xc-developers |