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Re: Performance problem with correlated sub-query

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On 29/04/2004 14:34 "Howard, Steven (US - Tulsa)" wrote:
I have created a web app that stores and displays all the messages from
my database maintenance jobs that run each night. The web app uses Java
servlets and has PostgreSQL 7.0 as the back end.

7.0? That's positively ancient!

When the user requests the first page, he gets a list of all the servers with maintenance records in the database, and a drop down list of all the dates of maintenance records. If the user chooses a date first, then the app uses a prepared statement with the date contained in a parameter, and this executes very quickly - no problems.



However, if the web page user does not choose a date, then the app uses
a correlated sub-query to grab only the current (latest) day's
maintenance records. The query that is executed is:

select servername, databasename, message from messages o where
o.date_of_msg =

            (select max(date_of_msg) from messages i where i.servername
= o.servername);



And this is a dog. It takes 15 - 20 minutes to execute the query (there
are about 200,000 rows in the table). I have an index on (servername,
date_of_msg), but it doesn't seem to be used in this query.

PG doesn't use indexes for things like count(), max, min()...


You can avoid using max() by something like

select my_date from my_table order by my_date desc limit 1;

which will use the index.


Is there a way to improve the performance on this query?

In addition to the above, I'd strongly recommend upgrading to 7.4 to take advantage of the last ~4 years of continuous improvements.

--
Paul Thomas
+------------------------------+---------------------------------------------+
| Thomas Micro Systems Limited | Software Solutions for Business |
| Computer Consultants | http://www.thomas-micro-systems-ltd.co.uk |
+------------------------------+---------------------------------------------+



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