Okay, well, I guess that EXPLAINS it.. (bad joke.. sorry.) Not being a huge expert on the inner working on MySQL, I'm at a loss to explain why this is happening exactly, but it's clear that MySQL is choosing to do a filesort over 6400 rows with the first statement. This is probably due to it's inability to index based on your where statement. The other statements can index out much smaller result sets, then order then and deliver (8 & 10 respectively) therefore accomplishing much faster. What I would do at this point, is play with reordering, or rewriting the SQL for the first statement to see if that makes a difference. I know if JOIN statements, the order of the WHERE condition can make a huge difference. Here's an example that assumes Field1 will never be less than 1. This may be an incorrect assumption, but it illustrates my point: SELECT field1, field2, andUpToField10 FROM theTable WHERE field1 < 3 OR field2 = 1 ORDER BY field1 ASC -or- SELECT field1, field2, andUpToField10 FROM theTable WHERE field1 = 1 OR field1 = 2 OR field2 = 1 ORDER BY field1 ASC (this is just subtly different, but I'd be curious if it affects the outcome) Also, add an index on field1 and field2 if you don't already, as that may help. (sometimes it doesn't, depending on data type) I hope that helps, -Micah On Thursday 18 August 2005 4:30 pm, Dwight Altman wrote: > Thanks for your reply. Here are the results of EXPLAIN: > > EXPLAIN SELECT field1, field2, andUpToField10 > FROM theTable > WHERE field2 = 1 > OR field1 = 1 > OR field1 = 2 > ORDER BY field1 ASC > > id select_type table type possible_keys key key_len > ref rows Extra > 1 SIMPLE theTable ALL PRIMARY,field2 NULL NULL NULL 6400 Using > where; Using filesort > > =========================================================================== > Here are the results of EXPLAIN on the separate statements: > > EXPLAIN SELECT field1, field2, andUpToField10 > FROM theTable > WHERE field1 =1 > OR field1 =2 > ORDER BY field1 ASC > > id select_type table type possible_keys key key_len ref rows Extra > 1 SIMPLE theTable range PRIMARY PRIMARY 8 NULL 2 Using where > > --------------------------------------------------------------------------- >------------------------------------------- EXPLAIN SELECT field1, field2, > andUpToField10 > FROM theTable > WHERE field2 =1 > ORDER BY field1 ASC > > id select_type table type possible_keys key key_len > ref rows Extra > 1 SIMPLE theTable ref field2 field2 9 const 10 Using where; Using > filesort > > > ----- Original Message ----- > From: "Micah Stevens" <micah@xxxxxxxxxxxxxxxxxx> > To: <php-db@xxxxxxxxxxxxx> > Sent: Thursday, August 18, 2005 9:49 AM > Subject: Re: SELECT Performance and INDEXing > > > I think no one answered it because it doesn't make a whole lot of sense. > > Breaking a condition out into a second SQL statement would force the DB > > to rescan the table, so it should take longer rather than shorter. > > There's nothing suggesting that it's doing an internal self-join or other > > time-consuming function off the bat, which might explain it. > > > > Granted a second query would benefit from caching from the first to some > > degree. > > > > Can you run EXPLAIN on the first statement and post the results? > > > > -Micah > > > > On Thursday 18 August 2005 1:02 pm, Dwight Altman wrote: > >> Hey, this is my first question. So if you could just reply to say it > >> reached the php-db list, that would be terrific. Of course, answering > >> the > >> questions would be awesome as well. > >> > >> > I meant > >> > 'Analyze table' > >> > and > >> > 'the composite key "field2 field3" would be unique' > >> > > >> > ----- Original Message ----- > >> > From: "Dwight Altman" <dwight@xxxxxxxxxxxx> > >> > To: <php-db@xxxxxxxxxxxxx> > >> > Sent: Wednesday, August 10, 2005 4:23 PM > >> > Subject: SELECT Performance and INDEXing > >> > > >> > > >> > I have a MyISAM table holding images with field types bigint(20), > >> > mediumblob, varchar(255), blob and tinyint(3). The table has grown to > >> > over > >> > 800 MB and over 6,000 rows. In the past week, performance has been > >> > about > >> > 15-20 seconds to run the following select statement which pulls only > >> > 16 maximum rows: > >> > > >> > SQL1) SELECT field1, field2, andUpToField10 FROM theTable WHERE field2 > >> > = > >> > $aField2Value OR field1 = 1 OR field1 = 2 ORDER BY field1 ASC > >> > > >> > Basically I always pull the first 2 images in the table via the > >> > primary key > >> > field1 and upto 14 additional images depending on a foreign key > >> > field2. field2 can have up to 14 repeated/duplicate entries. > >> > > >> > My working solution is that I have since split this into 2 select > >> > statements: > >> > SQL2) SELECT field1, field2, andUptoField10 FROM theTable WHERE field1 > >> > = > >> > 1 OR field1 = 2 ORDER BY field1 ASC > >> > SQL3) SELECT field1, field2, andUptoField10 FROM theTable WHERE field2 > >> > = > >> > $aField2Value ORDER BY field1 ASC > >> > and performance is back to "instantaneous" (as far as web > >> > responsiveness > >> > is > >> > concerned). > >> > > >> > Can someone explain why SQL1 took so long to run as compared with > >> > running > >> > SQL2 and SQL3 ? > >> > > >> > Before splitting the statements, I also tried from phpmyadmin (Check > >> > table, > >> > Aalyze table, Optimize table) and creating an INDEX on field2, but I > >> > noticed > >> > no performance increase. Before explicitly adding an INDEX, the space > >> > usage > >> > in phpmyadmin already showed Type:Index using several bytes. The > >> > table still has the INDEX I explicitly created. > >> > > >> > Can someone explain to me INDEXing ? I was thinking of field2 and > >> > field3 > >> > for an INDEX (since field3 holds a number from 1 - 14 and the > >> > composite key > >> > "field1 field2" would be unique), but I seem to be home free already. > >> > I > >> > would just like to know "why" performance slowed and then "why" it > >> > improved > >> > with my solution. > >> > > >> > Regards. > >> > > >> > -- > > > > -- -- PHP Database Mailing List (http://www.php.net/) To unsubscribe, visit: http://www.php.net/unsub.php
