We have simple database with 4 tables: files, file_versions, users, organizations.
I do select all files which owned by some organization with some condition on trashing date by this query:
select * FROM organizations o
LEFT JOIN users u ON o.id=u.organization_id
LEFT JOIN files f ON u.user_identity=f.owner_identity
LEFT JOIN file_versions fv ON f.owner_identity=fv.owner_identity
AND f.local_path=fv.local_path
WHERE o.id=2001237 AND o.trashed_file_age_limit>=1
AND f.trashing_date<(1433943058 - o.trashed_file_age_limit*24*60*60);
Explain select shows me that optimizer choose wrong table order, which is different from query order(organizations-> users->files->file_versions):
mysql> explain select * FROM organizations o LEFT JOIN users u ON o.id=u.organization_id LEFT JOIN files f ON u.user_identity=f.owner_identity LEFT JOIN file_versions fv ON f.owner_identity=fv.owner_identity AND f.local_path=fv.local_path WHERE o.id=2001237 AND o.trashed_file_age_limit>=1 AND f.trashing_date<(1433943058 - o.trashed_file_age_limit*24*60*60);
+----+-------------+-------+--------+----------------------------------+----------+---------+----------------------------------------------------+-----------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+----------------------------------+----------+---------+----------------------------------------------------+-----------+-------------+
| 1 | SIMPLE | o | const | PRIMARY | PRIMARY | 4 | const | 1 | |
| 1 | SIMPLE | f | ALL | PRIMARY | NULL | NULL | NULL | 109615125 | Using where |
| 1 | SIMPLE | u | eq_ref | PRIMARY,identity,organization_id | identity | 36 | filemirror.f.owner_identity | 1 | Using where |
| 1 | SIMPLE | fv | ref | PRIMARY | PRIMARY | 3035 | filemirror.u.user_identity,filemirror.f.local_path | 1 | |
+----+-------------+-------+--------+----------------------------------+----------+---------+----------------------------------------------------+-----------+-------------+
4 rows in set (0.01 sec)
Of couse this query is slow because of full scan by files table and I have to use STRAIGHT_JOIN(which is not equivalent to LEFT JOIN) to fix table order and make query faster.
mysql> explain select * FROM organizations o STRAIGHT_JOIN users u ON o.id=u.organization_id STRAIGHT_JOIN files f ON u.user_identity=f.owner_identity STRAIGHT_JOIN file_versions fv ON f.owner_identity=fv.owner_identity AND f.local_path=fv.local_path WHERE o.id=2001237 AND o.trashed_file_age_limit>=1 AND f.trashing_date<(1433943058 - o.trashed_file_age_limit*24*60*60);
+----+-------------+-------+-------+----------------------------------+---------+---------+----------------------------------------------------+---------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+----------------------------------+---------+---------+----------------------------------------------------+---------+-------------+
| 1 | SIMPLE | o | const | PRIMARY | PRIMARY | 4 | const | 1 | |
| 1 | SIMPLE | u | ref | PRIMARY,identity,organization_id | PRIMARY | 4 | const | 36 | |
| 1 | SIMPLE | f | ref | PRIMARY | PRIMARY | 36 | filemirror.u.user_identity | 6089324 | Using where |
| 1 | SIMPLE | fv | ref | PRIMARY | PRIMARY | 3035 | filemirror.u.user_identity,filemirror.f.local_path | 1 | |
+----+-------------+-------+-------+----------------------------------+---------+---------+----------------------------------------------------+---------+-------------+
4 rows in set (0.00 sec)
My question is why mysql can change table order in not symmetric join operation?
Tables structure:
CREATE TABLE `file_versions` (
`owner_identity` char(36) character set latin1 collate latin1_bin NOT NULL,
`local_path` varchar(999) character set utf8 NOT NULL,
`version_number` int(11) unsigned NOT NULL,
...
PRIMARY KEY (`owner_identity`,`local_path`,`version_number`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 ROW_FORMAT=DYNAMIC;
CREATE TABLE `files` (
`owner_identity` char(36) character set latin1 collate latin1_bin NOT NULL,
`local_path` varchar(999) character set utf8 NOT NULL,
`version_number` int(11) unsigned NOT NULL,
..
`trashing_date` int(11) default NULL,
...
PRIMARY KEY (`owner_identity`,`local_path`),
KEY `trashing_date` (`trashing_date`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 ROW_FORMAT=DYNAMIC;
CREATE TABLE `organizations` (
`id` int(11) NOT NULL,
...
`trashed_file_age_limit` int(11) default NULL,
...
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 ROW_FORMAT=DYNAMIC;
CREATE TABLE `users` (
`organization_id` int(11) NOT NULL,
`id` int(11) NOT NULL,
`user_identity` char(36) character set latin1 collate latin1_bin NOT NULL,
...
PRIMARY KEY (`organization_id`,`id`),
UNIQUE KEY `identity` (`user_identity`),
KEY `organization_id` (`organization_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 ROW_FORMAT=DYNAMIC;
Mysql version 5.5
Look at the rows estimates, mysql thinks that it will need to read 109M rows of files table in first plan and 6M for each of 36 users = 216M rows for second plan. So it seems reasonable to read all 109M rows only once and in priamry key order instead reading them in separate blocks.. Those estimates does not seem very reasonable to me, so I would try running analyze table on files, but they are estimates so maybe you wont get better numbers.
Using LEFT join and then adding condition on the table to WHERE turns it into INNER join as Strawberry says in their comment - you have to have value for the where condition to ever be true, so mysql feels free to reorder those a bit, maybe even it seems better for optimizer to do "really-inner" joins first, so that may be second reason for that plan.
You can try using STRAIGHT_JOIN in different way - if you put it just once right after SELECT, then your join order is used by optimizer if possible (it usually is barring some weird right joins and other corner cases) without changing join type on specific tables (it is then used as sort of FLAG, in the way SQL_NO_CACHE is used to signalize something, instead of as special join type)
Then to make it even better, you may try adding index to files on (owner_identity, trashing_date) which should help in localizing specific files for each user and not globally as with current key on (trashing_date) only.
Related
I have a query with 2 INNER JOIN statements, and only fetching a few column, but it is very slow even though I have indexes on all required columns.
My query
SELECT
dysfonctionnement,
montant,
listRembArticles,
case when dys.reimputation is not null then dys.reimputation else dys.responsable end as responsable_final
FROM
db.commandes AS com
INNER JOIN db.dysfonctionnements AS dys ON com.id_commande = dys.id_commande
INNER JOIN db.pe AS pe ON com.code_pe = pe.pe_id
WHERE
com.prestataireLAD REGEXP '.*'
AND pe_nom REGEXP 'bordeaux|chambéry-annecy|grenoble|lyon|marseille|metz|montpellier|nancy|nice|nimes|rouen|strasbourg|toulon|toulouse|vitry|vitry bis 1|vitry bis 2|vlg'
AND com.date_livraison BETWEEN '2022-06-11 00:00:00'
AND '2022-07-08 00:00:00';
It takes around 20 seconds to compute and fetch 4123 rows.
The problem
In order to find what's wrong and why is it so slow, I've used the EXPLAIN statement, here is the output:
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
|----|-------------|-------|------------|--------|----------------------------|-------------|---------|------------------------|--------|----------|-------------|
| 1 | SIMPLE | dys | | ALL | id_commande,id_commande_2 | | | | 878588 | 100.00 | Using where |
| 1 | SIMPLE | com | | eq_ref | id_commande,date_livraison | id_commande | 110 | db.dys.id_commande | 1 | 7.14 | Using where |
| 1 | SIMPLE | pe | | ref | pe_id | pe_id | 5 | db.com.code_pe | 1 | 100.00 | Using where |
I can see that the dysfonctionnements JOIN is rigged, and doesn't use a key even though it could...
Table definitions
commandes (included relevant columns only)
CREATE TABLE `commandes` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`id_commande` varchar(36) NOT NULL DEFAULT '',
`date_commande` datetime NOT NULL,
`date_livraison` datetime NOT NULL,
`code_pe` int(11) NOT NULL,
`traitement_dysfonctionnement` tinyint(4) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `id_commande` (`id_commande`),
KEY `date_livraison` (`date_livraison`),
KEY `traitement_dysfonctionnement` (`traitement_dysfonctionnement`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
dysfonctionnements (again, relevant columns only)
CREATE TABLE `dysfonctionnements` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`id_commande` varchar(36) DEFAULT NULL,
`dysfonctionnement` varchar(150) DEFAULT NULL,
`responsable` varchar(50) DEFAULT NULL,
`reimputation` varchar(50) DEFAULT NULL,
`montant` float DEFAULT NULL,
`listRembArticles` text,
PRIMARY KEY (`id`),
UNIQUE KEY `id_commande` (`id_commande`,`dysfonctionnement`),
KEY `id_commande_2` (`id_commande`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
pe (again, relevant columns only)
CREATE TABLE `pe` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`pe_id` int(11) DEFAULT NULL,
`pe_nom` varchar(30) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `pe_nom` (`pe_nom`),
KEY `pe_id` (`pe_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
Investigation
If I remove the db.pe table from the query and the WHERE clause on pe_nom, the query takes 1.7 seconds to fetch 7k rows, and with the EXPLAIN statement, I can see it is using keys as I expect it to do:
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
|----|-------------|-------|------------|-------|----------------------------|----------------|---------|------------------------|--------|----------|-----------------------------------------------|
| 1 | SIMPLE | com | | range | id_commande,date_livraison | date_livraison | 5 | | 389558 | 100.00 | Using index condition; Using where; Using MRR |
| 1 | SIMPLE | dys | | ref | id_commande,id_commande_2 | id_commande_2 | 111 | ooshop.com.id_commande | 1 | 100.00 | |
I'm open to any suggestions, I see no reason not to use the key when it does on a very similar query and it definitely makes it faster...
I had a similar experience when MySQL optimiser selected a joined table sequence far from optimal. At that time I used MySQL specific STRAIGHT_JOIN operator to overcome default optimiser behaviour. In your case I would try this:
SELECT
dysfonctionnement,
montant,
listRembArticles,
case when dys.reimputation is not null then dys.reimputation else dys.responsable end as responsable_final
FROM
db.commandes AS com
STRAIGHT_JOIN db.dysfonctionnements AS dys ON com.id_commande = dys.id_commande
INNER JOIN db.pe AS pe ON com.code_pe = pe.pe_id
Also, in your WHERE clause one of the REGEXP probably might be changed to IN operator, I assume it can use index.
Remove com.prestataireLAD REGEXP '.*'. The Optimizer probably won't realize that this has no impact on the resultset. If you are dynamically building the WHERE clause, then eliminate anything else you can.
id_commande_2 is redundant. In queries where it might be useful, the UNIQUE can take care of it.
These indexes might help:
com: INDEX(date_livraison, id_commande, code_pe)
pe: INDEX(pe_nom, pe_id)
I have a problem with the speed of query. Question is similar to this one, but can't find solution. Explain says that MySQL is using: Using index condition; Using where; Using temporary; Using filesort on companies table.
Mysql slow query: INNER JOIN + ORDER BY causes filesort
Slow query:
SELECT * FROM companies
INNER JOIN post_indices
ON companies.post_index_id = post_indices.id
WHERE companies.deleted_at is NULL
ORDER BY post_indices.id
LIMIT 1;
# 1 row in set (5.62 sec)
But if I remove where statement from query it is really fast:
SELECT * FROM companies
INNER JOIN post_indices
ON companies.post_index_id = post_indices.id
ORDER BY post_indices.id
LIMIT 1;
# 1 row in set (0.00 sec)
I've tried using different indexes on companies table:
index_companies_on_deleted_at
index_companeis_on_post_index_id
index_companies_on_deleted_at_and_post_index_id
index_companies_on_post_index_id_and_deleted_at
index_companies_on_deleted_at index is automatically selected by MySQL. Stats for same query using above indexes:
5.6 sec
3.4 sec
8.5 sec
3.5 sec
Any ideas how to improve my query speed? Again said - without where deleted_at is null condition query is instant..
Companies table has 1.3 mil of rows.
PostIndices table has 3k rows.
UPDATE 1:
Order by post_indices.id is used for simplicity since it's indexed already. But it will be used on other columns of join table (post_indices). So sort on companies.post_index_id wont solve this issue
UPDATE 2: for Rick James
Your query takes only 0.04 sec to accomplish. And explain says that index_companies_on_deleted_at_and_post_index_id index is used. So yes, it works better, but this doesn't solve my problem (need to order on post_indices columns, will do this in future, so id post_indices.id used for simplicity of example. In future it will be for example post_indices.city).
My query with WHERE, but without ORDER BY is instant.
UPDATE 3:
EXPLAIN query. Also I noticed that order of indexes matters. index_companies_on_deleted_at index is used if it's higher (created earlier) then index_companies_on_deleted_at_and_post_index_id. Otherwise later index is used. I mean automatically selected by MySQL.
mysql> EXPLAIN SELECT * FROM companies INNER JOIN post_indices ON post_indices.id = companies.post_index_id WHERE companies.deleted_at IS NULL ORDER BY post_indices.id LIMIT 1;
+----+-------------+--------------+------------+--------+----------------------------------------------------------------------------------------------------------------+-------------------------------+---------+------------------------------------------------------+--------+----------+---------------------------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+--------------+------------+--------+----------------------------------------------------------------------------------------------------------------+-------------------------------+---------+------------------------------------------------------+--------+----------+---------------------------------------------------------------------+
| 1 | SIMPLE | companies | NULL | ref | index_companies_on_post_index_id,index_companies_on_deleted_at,index_companies_on_deleted_at_and_post_index_id | index_companies_on_deleted_at | 6 | const | 638692 | 100.00 | Using index condition; Using where; Using temporary; Using filesort |
| 1 | SIMPLE | post_indices | NULL | eq_ref | PRIMARY | PRIMARY | 4 | enbro_purecrm_eu_development.companies.post_index_id | 1 | 100.00 | NULL |
+----+-------------+--------------+------------+--------+----------------------------------------------------------------------------------------------------------------+-------------------------------+---------+------------------------------------------------------+--------+----------+---------------------------------------------------------------------+
2 rows in set, 1 warning (0.00 sec)
mysql> EXPLAIN SELECT * FROM companies USE INDEX(index_companies_on_post_index_id) INNER JOIN post_indices ON post_indices.id = companies.post_index_id WHERE companies.deleted_at IS NULL ORDER BY post_indices.id LIMIT 1;
+----+-------------+--------------+------------+--------+----------------------------------+---------+---------+------------------------------------------------------+---------+----------+----------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+--------------+------------+--------+----------------------------------+---------+---------+------------------------------------------------------+---------+----------+----------------------------------------------+
| 1 | SIMPLE | companies | NULL | ALL | index_companies_on_post_index_id | NULL | NULL | NULL | 1277385 | 10.00 | Using where; Using temporary; Using filesort |
| 1 | SIMPLE | post_indices | NULL | eq_ref | PRIMARY | PRIMARY | 4 | enbro_purecrm_eu_development.companies.post_index_id | 1 | 100.00 | NULL |
+----+-------------+--------------+------------+--------+----------------------------------+---------+---------+------------------------------------------------------+---------+----------+----------------------------------------------+
2 rows in set, 1 warning (0.00 sec)
mysql> EXPLAIN SELECT * FROM companies USE INDEX(index_companies_on_deleted_at_and_post_index_id) INNER JOIN post_indices ON post_indices.id = companies.post_index_id WHERE companies.deleted_at IS NULL ORDER BY post_indices.id LIMIT 1;
+----+-------------+--------------+------------+--------+-------------------------------------------------+-------------------------------------------------+---------+------------------------------------------------------+--------+----------+--------------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+--------------+------------+--------+-------------------------------------------------+-------------------------------------------------+---------+------------------------------------------------------+--------+----------+--------------------------------------------------------+
| 1 | SIMPLE | companies | NULL | ref | index_companies_on_deleted_at_and_post_index_id | index_companies_on_deleted_at_and_post_index_id | 6 | const | 638692 | 100.00 | Using index condition; Using temporary; Using filesort |
| 1 | SIMPLE | post_indices | NULL | eq_ref | PRIMARY | PRIMARY | 4 | enbro_purecrm_eu_development.companies.post_index_id | 1 | 100.00 | NULL |
+----+-------------+--------------+------------+--------+-------------------------------------------------+-------------------------------------------------+---------+------------------------------------------------------+--------+----------+--------------------------------------------------------+
2 rows in set, 1 warning (0.00 sec)
UPDATE 4:
I've removed non related columns:
| companies | CREATE TABLE `companies` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`address` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`post_index_id` int(11) DEFAULT NULL,
`vat` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`note` text COLLATE utf8_unicode_ci,
`state` varchar(255) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'new',
`deleted_at` datetime DEFAULT NULL,
`lead_list_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `index_companies_on_vat` (`vat`),
KEY `index_companies_on_post_index_id` (`post_index_id`),
KEY `index_companies_on_state` (`state`),
KEY `index_companies_on_deleted_at` (`deleted_at`),
KEY `index_companies_on_deleted_at_and_post_index_id` (`deleted_at`,`post_index_id`),
KEY `index_companies_on_lead_list_id` (`lead_list_id`),
CONSTRAINT `fk_rails_5fc7f5c6b9` FOREIGN KEY (`lead_list_id`) REFERENCES `lead_lists` (`id`),
CONSTRAINT `fk_rails_79719355c6` FOREIGN KEY (`post_index_id`) REFERENCES `post_indices` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2523518 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci |
| post_indices | CREATE TABLE `post_indices` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`county` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`postal_code` int(11) DEFAULT NULL,
`group_part` int(11) DEFAULT NULL,
`group_number` int(11) DEFAULT NULL,
`group_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`city` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3101 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci |
UPDATE 5:
Another developer tested same query on his local machine with exactly same data set (dump/restore). And he got totally different explain:
mysql> explain SELECT * FROM companies INNER JOIN post_indices ON companies.post_index_id = post_indices.id WHERE companies.deleted_at is NULL ORDER BY post_indices.id LIMIT 1;
+----+-------------+--------------+-------+----------------------------------------------------------------------------------------------------------------+-------------------------------------------------+---------+----------------------------------------------------+------+-----------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+--------------+-------+----------------------------------------------------------------------------------------------------------------+-------------------------------------------------+---------+----------------------------------------------------+------+-----------------------+
| 1 | SIMPLE | post_indices | index | PRIMARY | PRIMARY | 4 | NULL | 1 | NULL |
| 1 | SIMPLE | companies | ref | index_companies_on_post_index_id,index_companies_on_deleted_at,index_companies_on_deleted_at_and_post_index_id | index_companies_on_deleted_at_and_post_index_id | 11 | const,enbro_purecrm_eu_development.post_indices.id | 283 | Using index condition |
+----+-------------+--------------+-------+----------------------------------------------------------------------------------------------------------------+-------------------------------------------------+---------+----------------------------------------------------+------+-----------------------+
2 rows in set (0,00 sec)
Same query on his PC is instant. Have no idea why it is happening.. I've also tried to use STRAIGHT_JOIN. When I force post_indices table to be read first by MySQL, it is blazing fast too. But still it is mistery for me, why same query on another machine is fast (mysql -v 5.6.27) and slow on my machine (mysql -v 5.7.10)
So it seems that problem is MySQL using wrong table as first table to read.
Does this work better?
SELECT * FROM companies AS c
INNER JOIN post_indices AS pi
ON c.post_index_id = pi.id
WHERE c.deleted_at is NULL
ORDER BY c.post_index_id -- Note
LIMIT 1;
INDEX(deleted_at, post_index_id) -- note
For that matter, how fast does it run with the WHERE, but without the ORDER BY?
Using the following optimizer hints, should force MySQL to use the plan that your colleague observed:
SELECT * FROM post_indices
STRAIGHT_JOIN companies FORCE INDEX(index_companies_on_deleted_at_and_post_index_id)
ON companies.post_index_id = post_indices.id
WHERE companies.deleted_at is NULL
ORDER BY post_indices.id
LIMIT 1;
If you will be sorting on other columns of post_indices, you will need an index on those columns to make this plan work well.
Note that what is the most optimal plan will depend on how frequent deleted_at is NULL. If deleted_at is frequently NULL, the above plan will be fast. If not, with the above plan one will have to run through many rows of post_indices before a match is found. Note also that for queries with OFFSET, the same plan may not be the most effective.
I think the issue here is that MySQL decides the join order without considering the effects of ORDER BY and LIMIT. In other words, it will choose the join order that it thinks is fastest to execute the full join.
Since there is a restriction on the companies table (deleted_at is NULL), I am not surprised that it will start with this table.
I have found that MySQL (Win 7 64, 5.6.14) does not use index properly if I specify table output for IN statement. USER table contains 900k records.
If I use IN (_SOME_TABLE_OUTPUT_) syntax - I get fullscan for all 900k users. Query runs forever.
If I use IN ('CONCRETE','VALUES') syntax - I get a correct index usage.
How can I make MySQL finally USE the index?
1st case:
explain SELECT gu.id FROM USER gu WHERE gu.uuid in
(select '11b6a540-0dc5-44e0-877d-b3b83f331231' union
select '11b6a540-0dc5-44e0-877d-b3b83f331232');
+----+--------------------+------------+-------+---------------+------+---------+------+--------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------------+------------+-------+---------------+------+---------+------+--------+--------------------------+
| 1 | PRIMARY | gu | index | NULL | uuid | 257 | NULL | 829930 | Using where; Using index |
| 2 | DEPENDENT SUBQUERY | NULL | NULL | NULL | NULL | NULL | NULL | NULL | No tables used |
| 3 | DEPENDENT UNION | NULL | NULL | NULL | NULL | NULL | NULL | NULL | No tables used |
| NULL | UNION RESULT | <union2,3> | ALL | NULL | NULL | NULL | NULL | NULL | Using temporary |
+----+--------------------+------------+-------+---------------+------+---------+------+--------+--------------------------+
2nd case:
explain SELECT gu.id FROM USER gu WHERE gu.uuid in
('11b6a540-0dc5-44e0-877d-b3b83f331231');
+----+-------------+-------+------+---------------+------+---------+-------+------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+---------------+------+---------+-------+------+--------------------------+
| 1 | SIMPLE | gu | ref | uuid | uuid | 257 | const | 1 | Using where; Using index |
+----+-------------+-------+------+---------------+------+---------+-------+------+--------------------------+
Table structure:
CREATE TABLE `USER` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`version` bigint(20) NOT NULL,
`email` varchar(255) DEFAULT NULL,
`uuid` varchar(255) NOT NULL,
`partner_id` bigint(20) NOT NULL,
`password` varchar(255) DEFAULT NULL,
`date_created` datetime DEFAULT NULL,
`last_updated` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `unique-email` (`partner_id`,`email`),
KEY `uuid` (`uuid`),
CONSTRAINT `fk_USER_partner` FOREIGN KEY (`partner_id`) REFERENCES `partner` (`id`) ON DELETE CASCADE,
CONSTRAINT `FKB2D9FEBE725C505E` FOREIGN KEY (`partner_id`) REFERENCES `partner` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3315452 DEFAULT CHARSET=latin1
FORCE INDEX and USE INDEX statements don't change anything.
Demonstration SQLfiddle: http://sqlfiddle.com/#!2/c607e1/2
In fact I faced such problem before and it happened that I had one table that had a single column set as UTF-8 and the other tables where latin1. It did not matter what I did, MySQL insisted on using no indexes. The problem is quite well described on this blog post Slow queries in MySQL due to collation problems. Once you manage to fix the character set, I believe any of the queries will work.
An inner join on your virtual table might give you better performance. Try something along these lines.
SELECT gu.id
FROM USER gu
INNER JOIN (
select '11b6a540-0dc5-44e0-877d-b3b83f331231' uuid
union all
select '11b6a540-0dc5-44e0-877d-b3b83f331232') ids
on gu.uuid = ids.uuid;
Why would this query (and a number of similar variants) not use the index for ASIN on the 'tags' table? It insists on a full-table scan even when A contains just a few rows. As 'tags' table on production contains nearly a million entries, it's killing the query rather badly.
SELECT C.tag, count(C.tag) AS total
FROM
(
SELECT B.*
FROM
(
SELECT ASIN FROM requests WHERE user_id=9
) A
INNER JOIN tags B USING(ASIN)
) C
GROUP BY C.tag ORDER BY total DESC
EXPLAIN shows no index being used (run on test DB so rows in 'tags' is low, but still a full table scan):
| 1 | PRIMARY | <derived2> | system | NULL | NULL | NULL | NULL | 0 | const row not found |
| 2 | DERIVED | <derived3> | ALL | NULL | NULL | NULL | NULL | 28 | |
| 2 | DERIVED | B | ALL | NULL | NULL | NULL | NULL | 2593 | Using where; Using join buffer |
| 3 | DERIVED | borrowing_requests | ref | idx_user_id | idx_user_id | 5 | | 27 | Using where
Indexes:
| book_tags | 1 | asin | 1 | ASIN | A | 432 | NULL | NULL | | BTREE | |
| book_tags | 1 | idx_tag | 1 | tag | A | 1296 | NULL | NULL | | BTREE | |
| book_tags | 1 | idx_updated_on | 1 | updated_on | A | 518 | NULL | NULL | | BTREE
The query was rewritten from an INNER JOIN which was having the same problem:
SELECT tag, count(tag) AS total
FROM tags
INNER JOIN requests ON requests.ASIN=tags.ASIN
WHERE user_id=9
GROUP BY tag
ORDER BY total DESC
EXPLAIN:
| 1 | SIMPLE | tags | ALL | NULL | NULL | NULL | NULL | 2593 | Using temporary; Using filesort |
| 1 | SIMPLE | requests | ref | idx_ASIN,idx_user_id | idx_ASIN | 33 | func | 3 | Using where
I get the idea this is a real basic point I'm missing, but about 4 hours work on it has got me nowhere. Any advice is welcome.
EDIT:
I can see that the first query using sub-queries won't use indexes thanks to some replies, but this was being used as it ran twice as quick as the bottom query with just the INNER JOIN.
As an example, there are 70k rows in requests (all with an indexed ASIN), and 700k rows in tags, with 95k different ASINs in tags, each with less than 10 different tag records.
If a user has 10 requests, I only want the tags from those 10 ASINs to be listed and counted. In my mind, this should use tags.idx_ASIN and should lookup 100 rows (10 ASINs, each with max of 10 tags) at most from the tags table.
I'm missing something...I just can't see what.
EDIT:
requests CREATE TABLE:
CREATE TABLE IF NOT EXISTS `requests` (
`bid` int(40) NOT NULL AUTO_INCREMENT,
`user_id` int(20) DEFAULT NULL,
`ASIN` varchar(10) COLLATE utf8_unicode_ci DEFAULT NULL,
`status` enum('active','inactive','pending','deleted','completed') COLLATE utf8_unicode_ci NOT NULL,
`added_on` datetime NOT NULL,
`status_changed_on` datetime NOT NULL,
`last_emailed` datetime DEFAULT '0000-00-00 00:00:00',
PRIMARY KEY (`bid`),
KEY `idx_ASIN` (`ASIN`),
KEY `idx_status` (`status`),
KEY `idx_added_on` (`added_on`),
KEY `idx_user_id` (`user_id`),
KEY `idx_status_changed_on` (`status_changed_on`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci AUTO_INCREMENT=149380 ;
tags CREATE TABLE
CREATE TABLE IF NOT EXISTS `tags` (
`ASIN` varchar(10) NOT NULL,
`tag` varchar(50) NOT NULL,
`updated_on` datetime NOT NULL,
KEY `idx_tag` (`tag`),
KEY `idx_updated_on` (`updated_on`),
KEY `idx_asin` (`ASIN`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
There is no primary key on tags. I don't usually have tables without primary keys, but didn't see the need on this one. Could this be an issue?
AHA! Different charsets and collations. I shall correct that and try again!
Later:
That got it. Query went down from 10secs to 0.006secs. Thanks to everyone for getting me to look at this differently.
MySQL doesn't index subqueries. If you want indexes to improve performance of your queries, rewrite them to not use subqueries.
Try reversing the order of the tables in your original query:
SELECT tag, count(tag) AS total
FROM requests
INNER JOIN tags ON requests.ASIN=tags.ASIN
WHERE user_id=9
GROUP BY tag
ORDER BY total DESC
AHA! Different charsets and collations. I shall correct that and try again!
Later:
That got it. Query went down from 10secs to 0.006secs. Thanks to everyone for getting me to look at this differently.
I have the following query:
explain select * from users, dls where dls.user_id=users.id and users.status = 'accepted' and users.acc = 0 order by users.user_name desc limit 18416, 16
Which results in the following explain;
+----+-------------+-------+------+------------------------+-------------+---------+---------------------------------+-------+---------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+------------------------+-------------+---------+---------------------------------+-------+---------------------------------+
| 1 | SIMPLE | dls | ALL | PRIMARY,user_id | NULL | NULL | NULL | 19910 | Using temporary; Using filesort |
| 1 | SIMPLE | users | ref | PRIMARY,id_user_name | id_user_name | 4 | dls.user_id | 1 | Using where |
+----+-------------+-------+------+------------------------+-------------+---------+---------------------------------+-------+---------------------------------+
2 rows in set (0.00 sec)
This query is really, really slow and I cannot figure out how to fix it. I tried all kinds of indexes from reading articles on how to optimize order by / limit queries, but the result remains the same. Can anyone please help?
Edit: schemas:
CREATE TABLE `users` (
`id` int(10) unsigned NOT NULL auto_increment,
`user_name` varchar(100) character set utf8 NOT NULL,
`status` enum('accepted','rejected') character set utf8 NOT NULL,
`acc` varchar(6) character set utf8 NOT NULL,
PRIMARY KEY (`id`),
KEY `user_name` (`user_name`),
KEY `id_user_name` (`id`,`user_name`)
)
CREATE TABLE `dls` (
`user_id` int(10) unsigned NOT NULL,
`category_id` bigint(20) NOT NULL,
`download_url` varchar(255) character set utf8 NOT NULL,
PRIMARY KEY (`user_id`,`category_id`),
KEY `user_id` (`user_id`)
)
Output for query by Scrummeister;
+----+-------------+-------+------+------------------------+--------+---------+------------------------------+-------+-----------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+------------------------+--------+---------+------------------------------+-------+-----------------------------+
| 1 | SIMPLE | u | ALL | PRIMARY,id_user_name | NULL | NULL | NULL | 10838 | Using where; Using filesort |
| 1 | SIMPLE | dls | ref | PRIMARY,user_id | user_id | 4 | u.id | 2 | |
+----+-------------+-------+------+------------------------+--------+---------+------------------------------+-------+-----------------------------+
MySql is known to have issues with a LIMIT using a large offset.
The STRAIGHT_JOIN keyword, tells MySql to first scan the users table and then for every user, look up the rows in the dls table.
SELECT STRAIGHT_JOIN *
FROM users u JOIN dls ON dls.user_id = users.id
WHERE u.status = 'accepted' and u.acc = 0
ORDER BY users.user_name desc
LIMIT 18416, 16
Using STRAIGHT_JOIN is not recommended unless there is a need for it, In this specific case i believe it might work since it can use the user_name index for Sorting.
Other options you have:
Increase the size of sort_buffer_size
Increase the size of read_rnd_buffer_size (with caution!)
Doing the paging on the users table only, regardless of how many dls he has, Only than apply the JOIN.
Handle the paging in your code. Assuming a user goes from page to page with skipping to many, you should store the first & last user names for each page. If the user clicks the next page - Add a WHERE user_name > "{LastPageLastUsername} LIMIT 0,16" this will increase
For other optimization, read ORDER BY Optimization and Limit Optimization
Try add an index to the users table with the following columns
status, acc, user_name
or
acc, status, user_name
which ever is the faster