Re: performance for high-volume log insertion
| От | david@lang.hm |
|---|---|
| Тема | Re: performance for high-volume log insertion |
| Дата | |
| Msg-id | alpine.DEB.1.10.0904221304070.28211@asgard.lang.hm обсуждение исходный текст |
| Ответ на | Re: performance for high-volume log insertion (Glenn Maynard <glennfmaynard@gmail.com>) |
| Ответы |
Re: performance for high-volume log insertion
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| Список | pgsql-performance |
On Wed, 22 Apr 2009, Glenn Maynard wrote: > On Wed, Apr 22, 2009 at 8:19 AM, Stephen Frost <sfrost@snowman.net> wrote: >> Yes, as I beleive was mentioned already, planning time for inserts is >> really small. Parsing time for inserts when there's little parsing that >> has to happen also isn't all *that* expensive and the same goes for >> conversions from textual representations of data to binary. >> >> We're starting to re-hash things, in my view. The low-hanging fruit is >> doing multiple things in a single transaction, either by using COPY, >> multi-value INSERTs, or just multiple INSERTs in a single transaction. >> That's absolutely step one. > > This is all well-known, covered information, but perhaps some numbers > will help drive this home. 40000 inserts into a single-column, > unindexed table; with predictable results: > > separate inserts, no transaction: 21.21s > separate inserts, same transaction: 1.89s are these done as seperate round trips? i.e. begin <send> insert <send> insert <send> .. end <send> or as one round trip? i.e. begin;insert;insert..;end > 40 inserts, 100 rows/insert: 0.18s > one 40000-value insert: 0.16s > 40 prepared inserts, 100 rows/insert: 0.15s are one of these missing a 0? > COPY (text): 0.10s > COPY (binary): 0.10s > > Of course, real workloads will change the weights, but this is more or > less the magnitude of difference I always see--batch your inserts into > single statements, and if that's not enough, skip to COPY. thanks for this information, this is exactly what I was looking for. can this get stored somewhere for reference? David Lang
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