From: | Daniel Blanch Bataller <daniel(dot)blanch(dot)bataller(at)gmail(dot)com> |
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To: | ROBERT PRICE <rprice504(at)hotmail(dot)com> |
Cc: | "pgsql-performance(at)postgresql(dot)org" <pgsql-performance(at)postgresql(dot)org> |
Subject: | Re: Insert Concurrency |
Date: | 2017-04-18 05:45:31 |
Message-ID: | 243F5AE4-40B0-4B2B-8EE7-AE206A93AB73@gmail.com |
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Thread: | |
Lists: | pgsql-performance |
Yes, postgres has partitions:
https://www.postgresql.org/docs/9.6/static/ddl-partitioning.html <https://www.postgresql.org/docs/9.6/static/ddl-partitioning.html>
But this is not going to help much in the scenario you have.
Postgres can ingest data very very fast, 100M records in seconds - minutes , faster than oracle can serve it in many scenarios (all I have tested).
Specially if you use COPY command
https://www.postgresql.org/docs/9.6/static/sql-copy.html <https://www.postgresql.org/docs/9.6/static/sql-copy.html>
and even faster if you use the unlogged feature
https://www.postgresql.org/docs/9.6/static/sql-altertable.html <https://www.postgresql.org/docs/9.6/static/sql-altertable.html>
You can tune postgres to make it even faster, but it’s not normally necessary, with the two advices I gave you firstly, is more than enough, If I don’t remember it wrong you can move 100M records in ~ 2 minutes.
https://www.postgresql.org/docs/current/static/populate.html <https://www.postgresql.org/docs/current/static/populate.html>
But if you are going to move a record at a time you are going to be limited by the fastest transaction rate you can achieve, which is going to be a few hundred per second, and limited at the end by the disk hardware you have, . Out of the box and on commodity hardware it can take you up to then days to move 100M records.
So, my recomendation is to find a way to batch record insertions using copy, the benefits you can achieve tunning postgres are going to be marginal compared with COPY.
Regards
Daniel Blanch.
ww.translatetopostgres.com
> El 18 abr 2017, a las 4:55, ROBERT PRICE <rprice504(at)hotmail(dot)com> escribió:
>
> I come from an Oracle background and am porting an application to postgres. App has a table that will contain 100 million rows and has to be loaded by a process that reads messages off a SQS queue and makes web service calls to insert records one row at a time in a postgres RDS instance. I know slow by slow is not the ideal approach but I was wondering if postgres had partitioning or other ways to tune concurrent insert statements. Process will run 50 - 100 concurrent threads.
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