Re: [PERFORM] backups blocking everything

2011-10-28 Thread Samuel Gendler
On Fri, Oct 28, 2011 at 2:20 PM, Merlin Moncure wrote: > > hrm -- it doesn't look like you are i/o bound -- postgres is > definitely the bottleneck. taking a dump off of production is > throwing something else out of whack which is affecting your other > processes. > > band aid solutions might b

Re: [PERFORM] backups blocking everything

2011-10-28 Thread Merlin Moncure
On Thu, Oct 27, 2011 at 6:29 PM, Samuel Gendler wrote: > > On Thu, Oct 27, 2011 at 2:15 PM, Samuel Gendler > wrote: >> >> There are definitely no bloated tables.  The large tables are all >> insert-only, and old data is aggregated up and then removed by dropping >> whole partitions.  There should

Re: [PERFORM] backups blocking everything

2011-10-27 Thread Samuel Gendler
On Thu, Oct 27, 2011 at 2:15 PM, Samuel Gendler wrote: > > > There are definitely no bloated tables. The large tables are all > insert-only, and old data is aggregated up and then removed by dropping > whole partitions. There should be no bloat whatsoever. The OLTP side of > things is pretty min

Re: [PERFORM] backups blocking everything

2011-10-27 Thread Nicholson, Brad (Toronto, ON, CA)
>From: pgsql-performance-ow...@postgresql.org >[mailto:pgsql-performance-ow...@postgresql.org] On Behalf Of Samuel Gendler >Sent: Thursday, October 27, 2011 12:47 PM >To: pgsql-performance@postgresql.org >Subject: [PERFORM] backups blocking everything > >I've got a large mixed-used database, with

Re: [PERFORM] backups blocking everything

2011-10-27 Thread Samuel Gendler
On Thu, Oct 27, 2011 at 1:45 PM, Nicholson, Brad (Toronto, ON, CA) < bnichol...@hp.com> wrote: > >From: pgsql-performance-ow...@postgresql.org [mailto: > pgsql-performance-ow...@postgresql.org] On Behalf Of Samuel Gendler > >Sent: Thursday, October 27, 2011 12:47 PM > >To: pgsql-performance@postgr

Re: [PERFORM] backups blocking everything

2011-10-27 Thread Merlin Moncure
On Thu, Oct 27, 2011 at 11:47 AM, Samuel Gendler wrote: > I've got a large mixed-used database, with the data warehouse side of things > consisting of several tables at hundreds of millions of rows, plus a number > of tables with tens of millions.  There is partitioning, but as the volume > of dat