CREATE TABLE `tvnotif` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`pingId` int(11) DEFAULT NULL,
`token` varchar(45) COLLATE utf8_bin DEFAULT NULL,
`summary` varchar(45) COLLATE utf8_bin DEFAULT NULL,
`startTime` int(11) DEFAULT NULL,
`endTime` int(11) DEFAULT NULL,
`processed` int(1) DEFAULT '0',
`created` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`modified` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`),
KEY `processedIndex` (`processed`),
KEY `summaryIndex` (`summary`),
KEY `tokenIndex` (`token`)
) ENGINE=InnoDB AUTO_INCREMENT=18297898 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
CREATE TABLE `vv_us` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`athleteid` int(11) DEFAULT NULL,
`token` varchar(45) COLLATE utf8_bin DEFAULT NULL,
`secret` varchar(45) COLLATE utf8_bin DEFAULT NULL,
`active` int(1) DEFAULT '1',
`created` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`modified` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`type` varchar(45) COLLATE utf8_bin DEFAULT 'mc',
`step` varchar(45) COLLATE utf8_bin DEFAULT NULL,
`host` varchar(45) COLLATE utf8_bin DEFAULT NULL,
`server` mediumblob,
`tempcreds` mediumblob,
PRIMARY KEY (`id`),
KEY `activeIndex` (`active`),
KEY `typeIndex` (`type`)
) ENGINE=InnoDB AUTO_INCREMENT=33888 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
I am running a query which is mostly based on the table tvnotif which has at least 2 million rows of data in it, all the other tables are having less amount only. I added the index for the tables before that the query took 20 minutes to run and now its taking 160 secs.
EXPLAIN SELECT tvu.secret,COALESCE(php_timezone,"America/Los_Angeles") AS userTz,tn.*,tvu.athleteid,tvu.type FROM tvnotif AS tn
LEFT JOIN vv_us AS tvu ON tvu.token = tn.token
LEFT JOIN tbl_ath_pro AS tap ON tap.athleteid = tvu.athleteid
LEFT JOIN timezones AS tz ON tz.tz_id = tap.tz_id
WHERE tvu.active = 1 AND tn.summary = 'dailies' AND tn.processed = 0
LIMIT 300
The problem is probably your indexes... You have indexes on each field individually. What you need is a composite index on ALL 3 parts as a single index. Without, it can't pick the best one as you have 3 parts of the where clause.
Build a SINGLE index on ( processed, summary, token )
This way the query can jump directly to the processed records, directly to the summary value and then get those records and be done.
Additionally, your VV_US table should have an index on ( token, active ) so the join will be optimized on BOTH parts.
Related
Description:
We have two tables as below:
table_1 ("question" main table)
table_2 ("question_attempted" joining table)
Cases:
In "table_2" we have a column that has a column "is_correct" (holds 1,0) for right or wrong answers.
In "table_1" we have 1 m records and in "table_2" we have 10m records
We want to sort our listing data by below columns/values:
Total number of times questions were attempted
Total number of times questions were answered correctly
The percentages questions were answered correctly (based on above two values)
Issue:
As soon as we join the table_1 and table_2 to get the count of total_questions_attempted, total_questiones_give_correct_answer, perntage_corrected_given_answers. The query starts taking around 8-10 minutes to run. Table structures are given below. Thanks in advance.
Table structures:
CREATE TABLE IF NOT EXISTS `question` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`category` bigint(20) NOT NULL DEFAULT 0,
`parent` bigint(20) UNSIGNED NOT NULL DEFAULT 0,
`name` text COLLATE utf8mb4_unicode_ci NOT NULL,
`questiontext` text COLLATE utf8mb4_unicode_ci NOT NULL,
`questiontextformat` tinyint(4) NOT NULL DEFAULT 0,
`generalfeedback` text COLLATE utf8mb4_unicode_ci NOT NULL,
`generalfeedbackformat` tinyint(4) NOT NULL DEFAULT 0,
`defaultmark` decimal(12,7) NOT NULL DEFAULT 1.0000000,
`penalty` decimal(12,7) NOT NULL DEFAULT 0.3333333,
`qtype` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '' COMMENT '''1''',
`length` bigint(20) UNSIGNED NOT NULL DEFAULT 1,
`stamp` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '',
`version` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '',
`hidden` tinyint(3) UNSIGNED NOT NULL DEFAULT 0,
`timecreated` bigint(20) UNSIGNED NOT NULL DEFAULT 0,
`timemodified` bigint(20) UNSIGNED NOT NULL DEFAULT 0,
`createdby` bigint(20) UNSIGNED DEFAULT NULL,
`modifiedby` bigint(20) UNSIGNED DEFAULT NULL,
`type_data_id` bigint(20) NOT NULL,
`img_id` bigint(20) DEFAULT NULL,
`qimg_gallary_text` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`qrimg_gallary_text` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`qimg_gallary_ids` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`qrimg_gallary_ids` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`case_id` bigint(20) NOT NULL DEFAULT 0,
`ques_type_id` bigint(20) DEFAULT NULL,
`year` bigint(20) DEFAULT NULL,
`spec` bigint(20) DEFAULT NULL,
`sub_speciality_id` int(11) DEFAULT NULL,
`sub_sub_speciality_id` int(11) DEFAULT NULL,
`spec_level` bigint(20) DEFAULT 1,
`is_deleted` int(11) NOT NULL DEFAULT 0,
`sequence` int(11) NOT NULL DEFAULT 0,
`sort_order` bigint(20) NOT NULL DEFAULT 0 COMMENT 'Question order in list',
`idnumber` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`addendum` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`text_for_search` longtext COLLATE utf8mb4_unicode_ci DEFAULT NULL COMMENT 'this is for the text based searching, this will store the text of the question without html tags',
`text_for_search_ans` longtext COLLATE utf8mb4_unicode_ci DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `type_data_id` (`type_data_id`),
UNIQUE KEY `mdl_ques_catidn_uix` (`category`,`idnumber`),
KEY `mdl_ques_cat_ix` (`category`),
KEY `mdl_ques_par_ix` (`parent`),
KEY `mdl_ques_cre_ix` (`createdby`),
KEY `mdl_ques_mod_ix` (`modifiedby`),
KEY `id` (`id`),
KEY `mq_spec_ix` (`spec`),
KEY `sort_order` (`sort_order`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='The questions themselves';
CREATE TABLE IF NOT EXISTS `question_attempted` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`questionusageid` bigint(20) UNSIGNED NOT NULL,
`slot` bigint(20) UNSIGNED NOT NULL,
`behaviour` varchar(32) COLLATE utf8mb4_unicode_ci NOT NULL DEFAULT '',
`questionid` bigint(20) UNSIGNED NOT NULL,
`variant` bigint(20) UNSIGNED NOT NULL DEFAULT 1,
`maxmark` decimal(12,7) NOT NULL,
`minfraction` decimal(12,7) NOT NULL,
`flagged` tinyint(3) UNSIGNED NOT NULL DEFAULT 2,
`questionsummary` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`rightanswer` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`responsesummary` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`timemodified` bigint(20) UNSIGNED NOT NULL,
`maxfraction` decimal(12,7) DEFAULT 1.0000000,
`in_remind_state` int(11) NOT NULL DEFAULT 0,
`is_correct` tinyint(1) DEFAULT 1,
PRIMARY KEY (`id`),
UNIQUE KEY `mdl_quesatte_queslo_uix` (`questionusageid`,`slot`),
KEY `mdl_quesatte_que_ix` (`questionid`),
KEY `mdl_quesatte_que2_ix` (`questionusageid`),
KEY `mdl_quesatte_beh_ix` (`behaviour`),
KEY `questionid` (`questionid`),
KEY `is_correct` (`is_correct`)
) ENGINE=InnoDB AUTO_INCREMENT=151176 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='Each row here corresponds to an attempt at one question, as ';
I tried with the below query:
SELECT mq.id, mq.name, COUNT(is_correct)
FROM mdl_question_attempts as mqa
LEFT JOIN mdl_question mq on mq.id = mqa.questionid where mq.id IS NOT NULL and mq.is_deleted = '0'
GROUP by mqa.questionid
ORDER by mq.sort_order desc, mq.id DESC
LIMIT 50
https://i.stack.imgur.com/mHK6W.png
The correct query is
SELECT mq.id, mq.name, COUNT(mqa.questionid)
FROM mdl_question mq
LEFT JOIN mdl_question_attempts mqa ON mq.id = mqa.questionid AND mqa.is_correct
WHERE NOT mq.is_deleted
GROUP by mq.id
ORDER by mq.sort_order DESC, mq.id DESC
LIMIT 50;
Now let's see, how fast this can get. There is just one criteria on the question table (WHERE NOT mq.is_deleted). We can probably assume that very many if not most questions are not deleted, so using an index here makes no sense on first glance; reading the full table seems quicker.
Then we outer join the answers on the question ID and the is_correct flag. This means we should at least have an index on the ID, better even on the ID and the flag:
CREATE INDEX idx1 ON mdl_question_attempts (questionid, is_correct);
Now we must order all rows by the question's sort_order and ID to get the first 50 rows. It would be great to have an index that is already sorted, so we could just take the first 50 entries from there. But then, we are only looking at rows matching NOT mq.is_deleted, so the index must include that flag:
CREATE INDEX idx2 ON mdl_question (is_deleted, sort_order DESC, id DESC);
We could even include the name, so all data is available from the index and the table must not be read anymore (covering index).
CREATE INDEX idx2 ON mdl_question (is_deleted, sort_order DESC, id DESC, name);
It is still up to the DBMS to use these indexes or not. We are just providing them to give the DBMS the option. With this query it depends on how well MySQL's optimizer works. Does it see that it can just read the 50 first entries from the question index and then use the answer index for the simple counting?
add index in your table
CREATE INDEX index_name ON table_name (column_name);
references : https://www.w3schools.com/sql/sql_create_index.asp
query is simple, as below:
select count(1) from ec_account a join ec_card b on a.id = b.AccountId
there are 2.5 million rows in either ec_account and ec_card.(InnoDB)
here is the execution plan:
execution plan
as you see,
it already added index and used it, but the query still costed almost 60 seconds, is there any way could optimize it except changing database(mariadb has no such choke point as far as i know).
here is table DDL,ec_ccount:
CREATE TABLE `ec_account` (
`Id` varchar(64) NOT NULL,
`AccountType` varchar(32) NOT NULL,
`Name` varchar(32) NOT NULL,
`Status` tinyint(3) unsigned NOT NULL,
`IDCardType` varchar(32) DEFAULT NULL,
`IDCardNo` varchar(64) DEFAULT NULL,
`Password` varchar(256) DEFAULT NULL,
`PasswordHalt` varchar(128) DEFAULT NULL,
`Sex` varchar(8) DEFAULT NULL,
`BirthDay` datetime NOT NULL,
`Mobile` varchar(16) DEFAULT NULL,
`Address` varchar(64) DEFAULT NULL,
`Linkman` varchar(32) DEFAULT NULL,
`LinkmanRelation` varchar(16) DEFAULT NULL,
`LinkmanTel` varchar(16) DEFAULT NULL,
`Remark` varchar(128) DEFAULT NULL,
`Nationality` varchar(32) DEFAULT NULL,
`Nation` varchar(32) DEFAULT NULL,
`MaritalStatus` varchar(8) DEFAULT NULL,
`NativePlace` varchar(64) DEFAULT NULL,
`Occupation` varchar(32) DEFAULT NULL,
`BloodType` varchar(8) DEFAULT NULL,
`Education` varchar(8) DEFAULT NULL,
`LinkmanAddress` varchar(64) DEFAULT NULL,
`HomeAddress` varchar(128) DEFAULT NULL,
`Email` varchar(64) DEFAULT NULL,
`CompanyName` varchar(64) DEFAULT NULL,
`CompanyAddress` varchar(128) DEFAULT NULL,
`CompanyTel` varchar(16) DEFAULT NULL,
`Creator` char(36) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`CreateTime` datetime NOT NULL,
`LastModifier` char(36) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`LastModifyTime` datetime DEFAULT NULL,
`Avatar` longblob,
PRIMARY KEY (`Id`),
KEY `IX_Name` (`Name`) USING HASH,
KEY `Idx_IDCard_Account` (`IDCardType`,`IDCardNo`) USING HASH,
KEY `Idx_Mobile` (`Mobile`) USING HASH,
KEY `Idx_CreateTime` (`CreateTime`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
and ec_card :
CREATE TABLE `ec_card` (
`Id` char(36) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL DEFAULT '',
`AccountId` varchar(64) NOT NULL,
`CardType` varchar(32) NOT NULL,
`CardNo` varchar(32) NOT NULL,
`Status` tinyint(3) unsigned NOT NULL,
`IsPasswordAuth` tinyint(1) NOT NULL,
PRIMARY KEY (`Id`),
UNIQUE KEY `Idx_Unique_AccountId_CardType` (`AccountId`,`CardType`) USING HASH,
UNIQUE KEY `Idx_Unique_CardType_CardNo` (`CardType`,`CardNo`) USING HASH,
KEY `Idx_Uniques_AccountId` (`AccountId`) USING BTREE,
CONSTRAINT `FK_ec_card_ec_account_AccountId` FOREIGN KEY (`AccountId`) REFERENCES `ec_account` (`Id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
Not without fundamentally changing the query.
There are no conditions on your query! It selects all 2.5 million rows from ec_card, as well as every matching row from ec_account. Reading all this data from disk and sending it over the network is the bottleneck; there is no way to change that without changing what the query does.
Here is a workaround for you. I think it would run much faster, and get the same result.
Calculate the total count of ec_account:
SELECT count(1) AS total_count FROM ec_account;
Calculate the amount of records those existed in ec_account but not existed in ec_card:
SELECT count(1) AS missing_count
FROM ec_account a LEFT JOIN ec_card b on a.id = b.AccountId
WHERE b.AccountId IS NULL;
Matched count = total_count - missing_count
The core problem here is that you combined two large table together, it requires a lot of memory and it apparently needs a lot of time to finish.
try it using correlated subquery. This might help:
select count(1) from ec_account a where exists (select * from ec_card b
where b.AccountId=a.id)
Also, other than indexing following strategies generally help:
- Denormalization
- Caching results
- Using a NoSQL database
I'm trying to create a report and running 4 queries, but performance is so terrible.
I'm using 2 tables
This one has 2500 items in it
CREATE TABLE `bolt_accounts` (
`id` int(11) NOT NULL,
`slug` varchar(128) COLLATE utf8_unicode_ci NOT NULL,
`datecreated` datetime NOT NULL,
`datechanged` datetime NOT NULL,
`datepublish` datetime DEFAULT NULL,
`datedepublish` datetime DEFAULT NULL,
`username` varchar(32) COLLATE utf8_unicode_ci DEFAULT '',
`ownerid` int(11) DEFAULT NULL,
`status` varchar(32) COLLATE utf8_unicode_ci NOT NULL,
`templatefields` longtext COLLATE utf8_unicode_ci COMMENT '(DC2Type:json_array)',
`managerid` varchar(128) COLLATE utf8_unicode_ci DEFAULT '',
`parentid` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`name` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`qualify` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`regdate` date DEFAULT NULL,
`city` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`phone` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`passhash` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`cookie` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`resettoken` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`block` tinyint(1) NOT NULL DEFAULT '0',
`blocksms` tinyint(1) NOT NULL DEFAULT '0',
`birthday` date DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
ALTER TABLE `bolt_accounts`
ADD PRIMARY KEY (`id`),
ADD KEY `IDX_9C703491989D9B62` (`slug`),
ADD KEY `IDX_9C703491AFBA6FD8` (`datecreated`),
ADD KEY `IDX_9C703491BE74E59A` (`datechanged`),
ADD KEY `IDX_9C703491A5131421` (`datepublish`),
ADD KEY `IDX_9C703491B7805520` (`datedepublish`),
ADD KEY `IDX_9C7034917B00651C` (`status`),
ADD KEY `IDX_9C703491C13A5CC2` (`managerid`),
ADD KEY `IDX_9C703491856A684C` (`parentid`(255)),
ADD KEY `IDX_9C7034911E6AC3AE` (`regdate`),
ADD KEY `IDX_9C7034914709B432` (`birthday`);
and another one with all statistics, it has more than 1 400 000 items in it
CREATE TABLE `bolt_statistics` (
`id` int(11) NOT NULL,
`slug` varchar(128) COLLATE utf8_unicode_ci NOT NULL,
`datecreated` datetime NOT NULL,
`datechanged` datetime NOT NULL,
`datepublish` datetime DEFAULT NULL,
`datedepublish` datetime DEFAULT NULL,
`username` varchar(32) COLLATE utf8_unicode_ci DEFAULT '',
`ownerid` int(11) DEFAULT NULL,
`status` varchar(32) COLLATE utf8_unicode_ci NOT NULL,
`templatefields` longtext COLLATE utf8_unicode_ci COMMENT '(DC2Type:json_array)',
`managerid` varchar(256) COLLATE utf8_unicode_ci DEFAULT '',
`statdate` datetime DEFAULT NULL,
`lopv` double NOT NULL DEFAULT '0',
`gope` double NOT NULL DEFAULT '0',
`gopv` double NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
ALTER TABLE `bolt_statistics`
ADD PRIMARY KEY (`id`),
ADD KEY `IDX_BE38DFD2989D9B62` (`slug`),
ADD KEY `IDX_BE38DFD2AFBA6FD8` (`datecreated`),
ADD KEY `IDX_BE38DFD2BE74E59A` (`datechanged`),
ADD KEY `IDX_BE38DFD2A5131421` (`datepublish`),
ADD KEY `IDX_BE38DFD2B7805520` (`datedepublish`),
ADD KEY `IDX_BE38DFD27B00651C` (`status`),
ADD KEY `IDX_BE38DFD2C13A5CC2` (`managerid`(255));
So the problem is, when I join this tables together, performance become low...
SELECT ba.managerid,name,replace(phone,'+','') as phone,passhash, date_format(ba.datepublish,'%d.%m.%Y %H:%i') as datepublish, max(bs.lopv) as lopv, max(bs.gopv) as gopv
FROM bolt_accounts ba
LEFT JOIN bolt_statistics bs ON ba.managerid=bs.managerid
WHERE (parentid='007-645930')
AND (date(ba.datechanged)=('2018-01-06'))
AND (date(bs.datecreated)=('2018-01-06'))
GROUP BY ba.managerid
ORDER BY gopv desc
this query will run for 360-450ms ~0,3 of a sec..
It will return all managerids that has parentid=007-645930
some thing like that:
managerid
007-663360
007-677590
007-697191
007-1526400
007-1155884
007-1842169
077-1564660
007-1883072
007-777143
007-1865946
007-1875083
007-1753407
007-1322124
007-1100631
007-1603795
007-1171656
007-1890892
007-1166247
007-1564611
007-1882959
007-1145375
007-1878383
007-1128857
007-1762655
007-1346877
007-1714252
007-1709538
007-1319044
007-1698517
007-1316756
007-1679094
007-1298984
007-1905146
007-1675451
007-1287166
007-1899632
007-1629224
007-1190862
007-1894824
007-1616741
007-1171665
007-1894330
Than I take 1 id from that list, and run 3 queries
SELECT max(s.lopv) as lopv, max(s.gopv) as gopv
FROM bolt_statistics s WHERE (managerid='007-663360')
AND (datecreated between DATE_FORMAT('2018-01-06' - INTERVAL 1 MONTH,'%Y-%m-28 23:00:00') and DATE_FORMAT(LAST_DAY('2018-01-06' - INTERVAL 1 MONTH),'%Y-%m-%d 23:59:59'))
execution time 20-25ms
SELECT max(s.lopv) as lopv, max(s.gopv) as gopv
FROM bolt_statistics s
WHERE (managerid='007-663360')
AND (date(datecreated) = date('2018-01-06' -INTERVAL 1 day))
execution time 15-20ms
SELECT max(s.lopv) as lopv, max(s.gopv) as gopv
FROM bolt_statistics s
WHERE (managerid='007-663360')
AND (date(datecreated) = date('2018-01-06' -INTERVAL 2 day))
execution time 15-20ms
When all executions are over, it took 1,5 sec (1500ms) to render the php report.
I know, that I'm not quite good at mysql querying ;)) but I wonder, how can I improve performance on that queries?
Will it be much faster if I union all this queries in 1?
Do those fields really need a full 256 characters? Change them to a reasonable number, then get rid of the prefixing on ADD KEY IDX_BE38DFD2C13A5CC2 (managerid(255)), etc. (Prefix indexes are often useless.)
Don't hid columns inside functions (date(ba.datechanged)). Instead:
AND ba.datechanged >= '2018-01-06' - INTERVAL 2 DAY
AND ba.datechanged < '2018-01-06' - INTERVAL 3 DAY
Note: The above pattern works fine regardless of what datatype datechanged is -- DATE, DATETIME, DATETIME(6), TIMESTAMP. And the Optimizer can make use of an index such as ...
After that, have the composite INDEX(managerid, datecreated) for significant performance improvement.
Use a derived table instead of LEFT JOIN plus GROUP BY. This is likely to improve speed a bunch.
What is status? Why VARCHAR(32)? If it is a simple, low-cardinality, value, don't index it by itself; the index won't be used.
(There may be more tips, but this should get you started.)
I have the following simple join query
SELECT
count(*)
FROM
DBx.caseview p2015
INNER JOIN DBy.caseview p2014 ON p2015.casenumber=p2014.casenumber;
For some reason it just leaves MySQL hanging there for a lot of time until I get tired and cancel it. On the contrary, if run exactly the same code on MSSQL with the same data set the query takes a few seconds at most.
Is there a parameter that needs to be changed on MySQL to speed up this type of queries?
Here's my table in MySQL
CREATE TABLE `caseview` (
`ID` bigint(20) NOT NULL AUTO_INCREMENT,
`CASEID` varchar(18) DEFAULT NULL,
`CASENUMBER` int(10) DEFAULT NULL,
`ACCOUNTID` varchar(18) DEFAULT NULL,
`ACCOUNT` varchar(256) DEFAULT NULL,
`ASSETID` varchar(18) DEFAULT NULL,
`SAPPRODUCTGROUP` varchar(10) DEFAULT NULL,
`PRODUCT` varchar(128) DEFAULT NULL,
`FAMILY` varchar(128) DEFAULT NULL,
`CONTACTID` varchar(18) DEFAULT NULL,
`OWNERID` varchar(18) DEFAULT NULL,
`TYPE` varchar(128) DEFAULT NULL,
`PRIORITY` varchar(24) DEFAULT NULL,
`ORIGIN` varchar(24) DEFAULT NULL,
`SUBJECT` varchar(256) DEFAULT NULL,
`STATUS` varchar(24) DEFAULT NULL,
`LASTACTIVITY` varchar(1024) DEFAULT NULL,
`INITALDESCRIPTION` varchar(1024) DEFAULT NULL,
`CLOSEDDATE` datetime DEFAULT NULL,
`CREATEDDATE` datetime DEFAULT NULL,
`LASTMODIFIEDDATE` datetime DEFAULT NULL,
PRIMARY KEY (`ID`),
UNIQUE KEY `ID_UNIQUE` (`ID`)
) ENGINE=InnoDB AUTO_INCREMENT=122393 DEFAULT CHARSET=utf8;
There's two tables with exactly the same configuration as above, just different data
DBx.caseview p2015 has 197647 rows
DBy.caseview p2014 has 122392 rows
Create an Index for CASENUMBER field.
ALTER TABLE `caseview` ADD INDEX ( `CASENUMBER` ) ;
Give it a few seconds to create the index and run the query again.
I'm not sure why this query is taking 4 minutes to complete:
SELECT
su.sid,u.uid,u.display_name,u.locale
FROM user u
LEFT JOIN subscription_user su ON su.uid = u.uid
ORDER BY u.display_name DESC
LIMIT 0,25;
Well, I know it's due to the order, remove it and it's very fast. If I change to using INNER JOIN instead it's fast but the issue is not all users may be in the subscription_user table.
CREATE TABLE `user` (
`uid` int(11) NOT NULL AUTO_INCREMENT,
`password` varchar(100) DEFAULT NULL,
`user_type` varchar(10) NOT NULL DEFAULT 'user',
`display_name` varchar(50) NOT NULL,
`email` varchar(100) NOT NULL,
`locale` varchar(8) DEFAULT 'en',
`last_login` datetime DEFAULT NULL,
`auth_type` varchar(10) DEFAULT NULL,
`auth_data` varchar(500) DEFAULT NULL,
`inactive` tinyint(4) NOT NULL DEFAULT '0',
`receive_email` tinyint(4) NOT NULL DEFAULT '1',
`stateid` int(10) DEFAULT NULL,
`owner_group_id` int(11) DEFAULT NULL,
`signature` varchar(500) DEFAULT NULL,
`raw_signature` varchar(500) DEFAULT NULL,
`round_robin` smallint(5) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`uid`),
UNIQUE KEY `email` (`email`),
KEY `stateid` (`stateid`) USING BTREE,
KEY `user_type` (`user_type`) USING BTREE,
KEY `name` (`display_name`)
) ENGINE=InnoDB AUTO_INCREMENT=28343 DEFAULT CHARSET=latin1;
CREATE TABLE `subscription_user` (
`sid` varchar(50) NOT NULL,
`uid` int(11) NOT NULL,
`deleted` tinyint(4) NOT NULL DEFAULT '0',
`forum_user` varchar(50) NOT NULL,
PRIMARY KEY (`sid`,`uid`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
When you have an SQL query, the index can only really help you if the first column in the index is part of the query.
Your query joins su.uid = u.uid and the optimizer will not be able to use that to reference the first column in the subscription primary key index.
You should either reverse the order of the columns in the primary key, or alternatively, you should add a foreign key index, or an independent index on the uid