What's wrong with this query? EXPLAIN looks fine to me - mysql

Question

I'm going through an application and trying to optimize some queries and I'm really struggling with a few of them. Here's an example:
SELECT `Item` . * , `Source` . * , `Keyword` . * , `Author` . *
FROM `items` AS `Item`
JOIN `sources` AS `Source` ON ( `Item`.`source_id` = `Source`.`id` )
JOIN `authors` AS `Author` ON ( `Item`.`author_id` = `Author`.`id` )
JOIN `items_keywords` AS `ItemsKeyword` ON ( `Item`.`id` = `ItemsKeyword`.`item_id` )
JOIN `keywords` AS `Keyword` ON ( `Keyword`.`id` = `ItemsKeyword`.`keyword_id` )
JOIN `keywords_profiles` AS `KeywordsProfile` ON ( `Keyword`.`id` = `KeywordsProfile`.`keyword_id` )
JOIN `profiles` AS `Profile` ON ( `Profile`.`id` = `KeywordsProfile`.`profile_id` )
WHERE `KeywordsProfile`.`profile_id` IN ( 17 )
GROUP BY `Item`.`id`
ORDER BY `Item`.`timestamp` DESC , `Item`.`id` DESC
LIMIT 0 , 20;
This one is taking 10-30 seconds...in the tables referenced, there are about 500k author rows, and about 750k items and items_keywords rows. Everything else is less than 500 rows.
Here's the explain output:
http://img.skitch.com/20090220-fb52wd7jf58x41ikfxaws96xjn.jpg
EXPLAIN is relatively new to me, but I went through this line by line and it all seems fine. Not sure what else I can do, as I've got indexes on everything...what am I missing?
The server this sits on is just a 256 slice over at slicehost, but there's nothing else running on it and the CPU is at 0% before its run. And yet still it cranks away on this query. Any ideas?
EDIT: Some further info; one of the things that makes this really frustrating is that if I repeatedly run this query, it takes less than .1 seconds. I'm assuming this is due to the query cache, but if I run RESET QUERY CACHE before it, it still runs extremely quickly. It's only after I wait a little while or run some other queries that the 10-30 second times return. All the tables are MyISAM...does this indicate that MySQL is loading stuff into memory and that's why it runs so much faster for awhile?
EDIT 2: Thanks so much to everyone for your help...an update...I cut everything down to this:
SELECT i.id
FROM items AS i
ORDER BY i.timestamp DESC, i.id DESC
LIMIT 0, 20;
Consistently took 5-6 seconds, despite there only being 750k records in the DB. Once I dropped the 2nd column on the ORDER BY clause, it was pretty much instant. There's obviously several things going on here, but when I cut the query down to this:
SELECT i.id
FROM items AS i
JOIN items_keywords AS ik ON ( i.id = ik.item_id )
JOIN keywords AS k ON ( k.id = ik.keyword_id )
JOIN keywords_profiles AS kp ON ( k.id = kp.keyword_id )
WHERE kp.profile_id IN (139)
ORDER BY i.timestamp DESC
LIMIT 20;
It's still taking 10+ seconds...what else can I do?
Minor curiosity: on the explain, the rows column for items_keywords is always 1544, regardless of what profile_id I'm using in the query. shouldn't it change depending on the number of items associated with that profile?
EDIT 3: Ok, this is getting ridiculous :). If I drop the ORDER BY clause entirely, things are very speedy and the temp table / filesort disappears from explain. There's currently an index on the item.timestamp column, but is it not being used for some reason? I thought I remembered something about mysql only using one index per table or something? should I create a multi-column index over all the columns on the items table that this query references (source_id, author_id, timestamp, etc)?

Answer 1

Try this and see how it does:
SELECT i.*, s.*, k.*, a.*
FROM items AS i
JOIN sources AS s ON (i.source_id = s.id)
JOIN authors AS a ON (i.author_id = a.id)
JOIN items_keywords AS ik ON (i.id = ik.item_id)
JOIN keywords AS k ON (k.id = ik.keyword_id)
WHERE k.id IN (SELECT kp.keyword_id
FROM keywords_profiles AS kp
WHERE kp.profile_id IN (17))
ORDER BY i.timestamp DESC, i.id DESC
LIMIT 0, 20;
I factored out a couple of the joins into a non-correlated subquery, so you wouldn't have to do a GROUP BY to map the result to distinct rows.
Actually, you may still get multiple rows per i.id in my example, depending on how many keywords map to a given item and also to profile_id 17.
The filesort reported in your EXPLAIN report is probably due to the combination of GROUP BY and ORDER BY using different fields.
I agree with #ʞɔıu's answer that the speedup is probably because of key caching.

Answer 2

It looks okay, every row in the explain is using an index of some sort. One possible worry is the filesort bit. Try running the query without the order by clause and see if that improves it.
Then, what I would do is gradually take out each join until you (hopefully) get that massive speed increase, then concentrate on why that's happening.
The reason I mention the filesort is because I can't see a mention of timestamp anywhere in the explain output (even though it's your primary sort criteria) - it might be requiring a full non-indexed sort.
UPDATE#1:
Based on edit#2, the query:
SELECT i.id
FROM items AS i
ORDER BY i.timestamp DESC, i.id DESC
LIMIT 0, 20;
takes 5-6 seconds. That's abhorrent. Try creating a composite index on both TIMESTAMP and ID and see if that improves it:
create index timestamp_id on items(timestamp,id);
select id from items order by timestamp desc,id desc limit 0,20;
select id from items order by timestamp,id limit 0,20;
select id from items order by timestamp desc,id desc;
select id from items order by timestamp,id;
On one of the tests, I've left off the descending bit (DB2 for one sometimes doesn't use indexes if they're in the opposite order). The other variation is to take off the limit in case that's affecting it.

Answer 3

For your query to run fast, you need:
Create an index: CREATE INDEX ix_timestamp_id ON items (timestamp, id)
Ensure that id's on sources, authors and keywords are primary keys.
Force MySQL to use this index for items, and perform NESTED LOOP joins for other items:
EXPLAIN EXTENDED
SELECT Item.*, Source . * , Keyword . * , Author . *
FROM items AS Item FORCE INDEX FOR ORDER BY (ix_timestamp_id)
JOIN items_keywords AS ItemsKeyword FORCE INDEX (ix_item_keyword) ON ( Item.id = ItemsKeyword.item_id AND ItemsKeyword.keyword_id IN
(
SELECT keyword_id
FROM keywords_profiles AS KeywordsProfile FORCE INDEX (ix_keyword_profile)
WHERE KeywordsProfile.profile_id = 17
)
)
JOIN sources AS Source FORCE INDEX (primary) ON ( Item.source_id = Source.id )
JOIN authors AS Author FORCE INDEX (primary) ON ( Item.author_id = Author.id )
JOIN keywords AS Keyword FORCE INDEX (primary) ON ( Keyword.id = ItemsKeyword.keyword_id )
ORDER BY Item.timestamp DESC, Item.id DESC
LIMIT 0, 20
As you can see, we get rid of GROUP BY, push the subquery into the JOIN condition and force PRIMARY KEYs to be used for joins.
That's how we ensure that NESTED LOOPS with items as a leading tables will be used for all joins.
As a result:
1, 'PRIMARY', 'Item', 'index', '', 'ix_timestamp_id', '12', '', 20, 2622845.00, ''
1, 'PRIMARY', 'Author', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'test.Item.author_id', 1, 100.00, ''
1, 'PRIMARY', 'Source', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'test.Item.source_id', 1, 100.00, ''
1, 'PRIMARY', 'ItemsKeyword', 'ref', 'PRIMARY', 'PRIMARY', '4', 'test.Item.id', 1, 100.00, 'Using where; Using index'
1, 'PRIMARY', 'Keyword', 'eq_ref', 'PRIMARY', 'PRIMARY', '4', 'test.ItemsKeyword.keyword_id', 1, 100.00, ''
2, 'DEPENDENT SUBQUERY', 'KeywordsProfile', 'unique_subquery', 'PRIMARY', 'PRIMARY', '8', 'func,const', 1, 100.00, 'Using index; Using where'
, and when we run this, we get
20 rows fetched in 0,0038s (0,0019s)
There are 500k in items, 600k in items_keywords, 512 values in keywords and 512 values in keywords_profiles (all with profile 17).

Answer 4

I would suggest you run a profiler on the query, then you can see how long each subquery took and where the time is being consumed. If you have phpmyadmin, it's a simple chekbox you need to check to get this functionality, but my guess is you can get it manually from the mysql terminal app as well. I haven't seen this explain thing before, if it is in fact the profiling i am used to in phpmyadmin i apologize for the nonsense.

Answer 5

What is the GROUP BY clause achieving? There are no aggregate functions in the SELECT so the GROUP BY should be unnecessary

Answer 6

Some things to try:
Try not selecting all columns from all tables, and select only what you need. That may preclude the use of covering indexes (looking for using index in the extra column) and in general will soak up a lot of needless IO.
That filesort looks a little troubling. Try removing the order by and replacing it with order by null -- group by implicitly sorts in mysql so you have to order by null to remove that implicit sort.
Try adding an index on item (timestamp, id) or (id, timestamp). Might do something about that filesort (you never know).
Why are you grouping by item id? and not selecting any aggregate columns? if you group by a column and then select (much less order by) some other non-aggregate columns then the values of those columns will be selected more or less arbitrary. Unless, is item id is always unique for this query, in which case the group by will not accomplish anything.
Lastly, in my experience, mysql sometimes will just inexplicably freak out if you give it too many joins to try to optimize. Try and figure out if there's some way you don't have to do so many joins all once like that, i.e. split it up into multiple queries if you can.
one of the things that makes this really frustrating is that if I repeatedly run this query, it takes less than .1 seconds. I'm assuming this is due to the query cache — add SQL_NO_CACHE after the SELECT keyword to disable the use of the query cache per this query
All the tables are MyISAM...does this indicate that MySQL is loading stuff into memory and that's why it runs so much faster for awhile — MyISAM uses a key buffer and only caches index data in memory, and relies on the OS to hopefully cache non-index data. Unlike Innodb, which caches everything in the buffer pool.

Answer 7

Is it possible you're having issues because of filesystem I/O ? The EXPLAIN shows that there have to be 1544 rows fetched from the ItemsKeyword table. If you have to go to disk for each of those you'll add about 10-15 second total to the run time (assuming a high-ish seek time because you're on a VM). Normally the tables are cached in RAM or the data is stored close enough on the disk that reads can be combined. However, you're running on a VM with 256MB of ram, so you may no memory spare it can cache into and if your table file is fragmented enough you might be able to get the query performance degraded this much.
You could probably get some idea of what's happening with I/O during the query by running something like pidstat -d 1 or iostat 1 in another shell on the server.
EDIT:
From looking at the query adding an index on (ItemsKeyword.item_id, ItemsKeyword.keyword_id) should fix it if my theory is right about it being a problem with the seeks for the ItemsKeyword table.

Answer 8

MySQL loads a lot into different caches, including indexes and queries. In addition, your operating system will keep a file system cache that could speed up your query when executed repeatedly.
One thing to consider is how MySQL creates temporary tables during this type of query. As you can see in your explain, a temporary table is being created, probably for sorting of the results. Generally, MySQL will create these temporary tables in memory, except for 2 conditions. First, if they exceed the maximum size set in MySQL settings (max temp table size or heap size - check mysqlperformanceblogs.com for more info on these settings). The second and more important one is this:
Temporary tables will always be created on disk when text or blob tables are selected in the query.
This can create a major performance hit, and even lead to an i/o bottleneck if your server is getting any amount of action.
Check to see if any of your columns are of this data type. If they are, you can try to rewrite the query so that a temporary table is not created (group by always causes them, I think), or try not selecting these out. Another strategy would be to break this up into several smaller queries that might execute in a fraction of the time.
Good luck!

Answer 9

I may be completely wrong but what happens when you change
WHERE kp.profile_id IN (139)
to
WHERE kp.profile_id = 139

Answer 10

Try this:
SELECT i.id
FROM ((items AS i
INNER JOIN items_keywords AS ik ON ( i.id = ik.item_id ))
INNER JOIN keywords AS k ON ( k.id = ik.keyword_id ))
INNER JOIN keywords_profiles AS kp ON ( k.id = kp.keyword_id AND kp.profile_id = 139)
ORDER BY i.timestamp DESC
LIMIT 20;

Answer 11

Looking at the pastie.org link in the comments to the question:
you're joining items.source_id int(4) to sources.id int(16)
also items.id int(16) to itemskeywords.item_id int(11)
I can't see any good reason for the two fields to have different widths in these cases
I realise that these are just display widths and that the actual range of numbers which the column can store is determined solely by the INT part but the MySQL 6.0 reference manual says:
Note that if you store larger values
than the display width in an integer
column, you may experience problems
when MySQL generates temporary tables
for some complicated joins, because in
these cases MySQL assumes that the
data fits into the original column
width.
From the rough figures you quoted, it doesn't look as though you are exceeding the display width on any of the ID columns. You may as well tidy up these inconsistencies though just to eliminate another possible bug.
You might be as well to remove the display widths altogether if you don't have a need for them
edit:
I would hazard a guess that the original author of the database perhaps thought that int(4) meant "an integer with up to 4 digits" whereas it actually means "an integer between -2147483648 and 2147482647 displayed with at least 4 characters left-padded with spaces if need be"
Definitions like authors.refreshed int(20) or items.timestamp int(30) don't really make sense as there can only be 10 digits plus the sign in an int. Even a bigint can't exceed 20 characters. Perhaps the original author thought that int(4) was analogous to varchar(4)?

Answer 12

Try a backup copy of your tables. After that rename the original tables to something else, rename the new tables to the original and try again with your new-but-old-named tables...
Or you can try to repair the tables, but this doesn't always help.
Edit: Man, this was an old question...

Answer 13

The problem appears that it has to full joins across every single table before it even tries to do a where clause. This can cause 500k rows per table across you're looking in the millions+ rows that it's populating in memory. I would try changing the JOINS to LEFT JOINS USING ().