From: | Vitalii Tymchyshyn <tivv00(at)gmail(dot)com> |
---|---|
To: | Frits Jalvingh <jal(at)etc(dot)to> |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Postgres delete performance problem |
Date: | 2012-06-25 15:52:04 |
Message-ID: | 4FE88924.4060303@gmail.com |
Views: | Raw Message | Whole Thread | Download mbox | Resend email |
Thread: | |
Lists: | pgsql-performance |
Hello.
This may be wrong type for parameter, like using setObject(param, value)
instead of setObject(param, value, type). Especially if value passed is
string object. AFAIR index may be skipped in this case. You can check by
changing statement to "delete from xxx where xxx_pk=?::bigint". If it
works, check how parameter is set in java code.
25.06.12 18:42, Frits Jalvingh написав(ла):
> Hi,
>
> I have a Java application that tries to synchronize tables in two
> databases (remote source to local target). It does so by removing all
> constraints, then it compares table contents row by row, inserts
> missing rows and deletes "extra" rows in the target database. Delete
> performance is incredibly bad: it handles 100 record deletes in about
> 16 to 20 seconds(!). Insert and update performance is fine.
>
> The Java statement to handle the delete uses a prepared statement:
>
> "delete from xxx where xxx_pk=?"
>
> The delete statement is then executed using addBatch() and
> executeBatch() (the latter every 100 deletes), and committed. Not
> using executeBatch makes no difference.
>
> An example table where deletes are slow:
>
> pzlnew=# \d cfs_file
> Table "public.cfs_file"
> Column | Type | Modifiers
> ------------------+-----------------------------+-----------
> cfsid | bigint | not null
> cfs_date_created | timestamp without time zone | not null
> cfs_name | character varying(512) | not null
> cfs_cfaid | bigint |
> cfs_cfdid | bigint |
> Indexes:
> "cfs_file_pkey" PRIMARY KEY, btree (cfsid)
>
> with no FK constraints at all, and a table size of 940204 rows.
>
> While deleting, postgres takes 100% CPU all of the time.
>
>
> Inserts and updates are handled in exactly the same way, and these are
> a few orders of magnitude faster than the deletes.
>
> I am running the DB on an Ubuntu 12.04 - 64bits machine with Postgres
> 9.1, the machine is a fast machine with the database on ssd, ext4,
> with 16GB of RAM and a i7-3770 CPU @ 3.40GHz.
>
> Anyone has any idea?
>
> Thanks in advance,
>
> Frits
>
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