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From:Szymon Grabowski Date:February 17 2000 1:05pm
Subject:power-hungry SELECT query - how to reduce its priority?
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Greetings from distant Poland!

Care to help a newbie? :-)

One of my Perl scripts (run every single hour via
crontab) starts mysql SELECT query that takes
approx. 5 minutes to finish. It operates on 1.3 million
records and it's fairly sophisticated (for me, at least).
The problem is that while that query is running other
Perl & PHP3 scripts tend to timeout when they try to
access MySQL. It looks that this hourly SELECT
eats up to much of mysql daemon and nothing's left
for other applications & scripts. Non-mysql stuff
works without a fail even when that SELECT is
running.

Is it possible to reduce priority of that job, so that it
doesn't consume so much of mysql daemon resources?
It wouldn't be a problem if that SELECT took 50 minutes,
but let other scripts access mysql as well.

Any ideas?

I'm running MySQL 3.22.22.

Here are MySQL system variables:

 back_log   5
 connect_timeout   5
 delayed_insert_limit   100
 delayed_insert_timeout   300
 delayed_queue_size   1000
 join_buffer   131072
 flush_time   0
 key_buffer   8388600
 language
/usr/local/mysql-3.22.22-sun-solaris2.6-sparc/share/mysql/english/
 log   OFF
 log_update   OFF
 long_query_time   10
 low_priority_updates   OFF
 max_allowed_packet   1048576
 max_connections   500
 max_connect_errors   10
 max_delayed_insert_threads   20
 max_join_size   4294967295
 max_sort_length   1024
 net_buffer_length   16384
 port   3306
 protocol-version   10
 record_buffer   131072
 skip_locking   OFF
 socket   /tmp/mysql.sock
 sort_buffer   2097144
 table_cache   64
 thread_stack   65536
 tmp_table_size   1048576
 tmpdir   /var/tmp/
 version   3.22.22
 wait_timeout   28800


Thanks for your help!

Cheers,

Simon

Thread
power-hungry SELECT query - how to reduce its priority?Szymon Grabowski17 Feb
  • Re: power-hungry SELECT query - how to reduce its priority?Markus Welters17 Feb
    • Re: power-hungry SELECT query - how to reduce its priority?Szymon Grabowski17 Feb
    • Re: power-hungry SELECT query - how to reduce its priority?Jan Dvorak17 Feb