Odd MySQL Behavior - Query Optimization Help - mysql

We have a central login that we use to support multiple websites. To store our users' data we have an accounts table which stores each user account and then users tables for each site for site specific information.
We noticed that one query that is joining the tables on their primary key user_id is executing slowly. I'm hoping that some SQL expert out there can explain why it's using WHERE to search the users_site1 table and suggest how we can optimize it. Here is the slow query & the explain results:
mysql> explain select a.user_id as 'id',a.username,a.first_name as 'first',a.last_name as 'last',a.sex,u.user_id as 'profile',u.facebook_id as 'fb_id',u.facebook_publish as 'fb_publish',u.facebook_offline as 'fb_offline',u.twitter_id as 'tw_id',u.api_session as 'mobile',a.network from accounts a left join users_site1 u ON a.user_id=u.user_id AND u.status="R" where a.status="R" AND u.status="R" AND a.facebook_id='1234567890';
+----+-------------+-------+--------+----------------+---------+---------+-----------------------+-------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+----------------+---------+---------+-----------------------+-------+-------------+
| 1 | SIMPLE | u | ALL | PRIMARY | NULL | NULL | NULL | 79769 | Using where |
| 1 | SIMPLE | a | eq_ref | PRIMARY,status | PRIMARY | 4 | alltrailsdb.u.user_id | 1 | Using where |
+----+-------------+-------+--------+----------------+---------+---------+-----------------------+-------+-------------+
2 rows in set (0.00 sec)
Here are the definitions for each table:
CREATE TABLE `accounts` (
`user_id` int(9) unsigned NOT NULL AUTO_INCREMENT,
`username` varchar(40) DEFAULT NULL,
`facebook_id` bigint(15) unsigned DEFAULT NULL,
`facebook_username` varchar(30) DEFAULT NULL,
`password` varchar(20) DEFAULT NULL,
`profile_photo` varchar(100) DEFAULT NULL,
`first_name` varchar(40) DEFAULT NULL,
`middle_name` varchar(40) DEFAULT NULL,
`last_name` varchar(40) DEFAULT NULL,
`suffix_name` char(3) DEFAULT NULL,
`organization_name` varchar(100) DEFAULT NULL,
`organization` tinyint(1) unsigned DEFAULT NULL,
`address` varchar(200) DEFAULT NULL,
`city` varchar(40) DEFAULT NULL,
`state` varchar(20) DEFAULT NULL,
`zip` varchar(10) DEFAULT NULL,
`province` varchar(40) DEFAULT NULL,
`country` int(3) DEFAULT NULL,
`latitude` decimal(11,7) DEFAULT NULL,
`longitude` decimal(12,7) DEFAULT NULL,
`phone` varchar(20) DEFAULT NULL,
`sex` char(1) DEFAULT NULL,
`birthday` date DEFAULT NULL,
`about_me` varchar(2000) DEFAULT NULL,
`activities` varchar(300) DEFAULT NULL,
`website` varchar(100) DEFAULT NULL,
`email` varchar(150) DEFAULT NULL,
`referrer` int(4) unsigned DEFAULT NULL,
`referredid` int(9) unsigned DEFAULT NULL,
`verify` int(6) DEFAULT NULL,
`status` char(1) DEFAULT 'R',
`created` datetime DEFAULT NULL,
`verified` datetime DEFAULT NULL,
`activated` datetime DEFAULT NULL,
`network` datetime DEFAULT NULL,
`deleted` datetime DEFAULT NULL,
`logins` int(6) unsigned DEFAULT '0',
`api_logins` int(6) unsigned DEFAULT '0',
`last_login` datetime DEFAULT NULL,
`last_update` datetime DEFAULT NULL,
`private` tinyint(1) unsigned DEFAULT NULL,
`ip` varchar(20) DEFAULT NULL,
PRIMARY KEY (`user_id`),
UNIQUE KEY `username` (`username`),
KEY `status` (`status`),
KEY `state` (`state`)
);
CREATE TABLE `users_site1` (
`user_id` int(9) unsigned NOT NULL,
`facebook_id` bigint(15) unsigned DEFAULT NULL,
`facebook_username` varchar(30) DEFAULT NULL,
`facebook_publish` tinyint(1) unsigned DEFAULT NULL,
`facebook_checkin` tinyint(1) unsigned DEFAULT NULL,
`facebook_offline` varchar(300) DEFAULT NULL,
`twitter_id` varchar(60) DEFAULT NULL,
`twitter_secret` varchar(50) DEFAULT NULL,
`twitter_username` varchar(20) DEFAULT NULL,
`type` char(1) DEFAULT 'M',
`referrer` int(4) unsigned DEFAULT NULL,
`referredid` int(9) unsigned DEFAULT NULL,
`session` varchar(60) DEFAULT NULL,
`api_session` varchar(60) DEFAULT NULL,
`status` char(1) DEFAULT 'R',
`created` datetime DEFAULT NULL,
`verified` datetime DEFAULT NULL,
`activated` datetime DEFAULT NULL,
`deleted` datetime DEFAULT NULL,
`logins` int(6) unsigned DEFAULT '0',
`api_logins` int(6) unsigned DEFAULT '0',
`last_login` datetime DEFAULT NULL,
`last_update` datetime DEFAULT NULL,
`ip` varchar(20) DEFAULT NULL,
PRIMARY KEY (`user_id`)
);

Add a index on the column facebook_id in the accounts table.
Current, MySql is scanning the entire users table, since it cannot find the record directly in the account table.

The least create 3 indexes on accounts.user_id, user_site1.user_id and accounts.facebook_id. It's likely that user_id indexes already exist as they are defined as PKs though.

Your query is looking for rows in table accounts based on the Facebook ID and on the account "status". You don't have any indexes that help with this, so MySQL is doing a table scan. I suggest the following index:
ALTER TABLE accounts ADD INDEX (facebook_id, user_id)
If you wanted, you could even include the status column in the index. Whether this is a good idea or not would really depend on whether or not it would help to make the index an attractive choice for the optimiser for any other queries you plan to run.
PS. The comment "using where" is normal and is to be expected in most queries. The thing to be concerned about here is the fact that MySQL is not using an index, and that it thinks it has to examine a large number of rows (surely this should not be the case when you are passing in a specific ID number).

Maybe because you haven't created indexes on the columns you're searching on??? Try indexing the columns used on the join statements. Without indexing, you're scanning through all the dataset.
CREATE INDEX accounts_user_id_index ON accounts (user_id);
CREATE INDEX accounts.facebook_id_index ON accounts (status);
CREATE INDEX user_site1.user_id_index ON user_site1 (user_id);

Related

How to use MYSQL JOIN structure? and how to optimize query time

I have a few problems with MYSQL database that I can't solve.
My query below is taking too much time and making the system hang. I'm trying to use the "JOIN" construct to develop this. But this time my aggregation, which I'm trying to do with "SUM", reduces the query to one line. Is it ok to do this job with "JOIN"? or how should i improve this query.
This database works with a total of 22 client devices in ASP .NET application. As I mentioned above, in cases where the query time is long, when the client devices send a query to the database at the same time, the client device freezes. What I don't understand is why a query in the browser app is making all devices wait. Isn't each query processed as a separate "Thread" in MYSQL? So if a query has a return time of 10 seconds, will all clients wait 10 seconds for the query to be answered in the browser?
SELECT *,
(SELECT MachModel FROM machine WHERE MachCode=workorder.MachCode) AS MachModel,
(SELECT RawMaterialDescription FROM rawmaterials WHERE RawMaterialCode=workorder.ProductRawMaterial) AS RawMaterialDescr,
(SELECT RawMaterialColor FROM rawmaterials WHERE RawMaterialCode=workorder.ProductRawMaterial) AS RawMaterialColor,
(SELECT StaffName FROM staff WHERE AccountName=workorder.AssignStaff) AS AssignStaffName,
(SELECT StaffCode FROM staff WHERE AccountName=workorder.AssignStaff) AS AssignStaffCode,
(SELECT MachStatus FROM machine WHERE MachCode=workorder.MachCode) AS MachStatus,
(SELECT SUM(xStopTime) FROM workorderb WHERE xWoNumber=workorder.WoNumber) AS WoTotalStopTime
FROM workorder
WHERE WoStatus=3
ORDER BY PlanProdStartDate DESC, WoSortNumber, WoNumber LIMIT 100
SELECT workorder.*,machine.MachModel,machine.MachStatus,rawmaterials.RawMaterialDescription,rawmaterials.RawMaterialColor,staff.StaffName,staff.StaffCode,SUM(workorderb.xStopTime)
FROM workorder
LEFT JOIN machine ON machine.MachCode=workorder.MachCode
LEFT JOIN rawmaterials ON rawmaterials.RawMaterialCode=workorder.ProductRawMaterial
LEFT JOIN staff ON staff.AccountName=workorder.AssignStaff
LEFT JOIN workorderb ON workorderb.xWoNumber=workorder.WoNumber
WHERE workorder.WoStatus=3
ORDER BY workorder.PlanProdStartDate DESC, workorder.WoSortNumber, workorder.WoNumber LIMIT 100
CREATE TABLE `workorder` (
`WoNumber` varchar(20) NOT NULL,
`MachCode` varchar(15) NOT NULL,
`PlannedMoldCode` varchar(10) NOT NULL,
`PartyNumber` smallint(6) NOT NULL,
`PlanProdCycleTime` smallint(6) NOT NULL,
`CalAverageCycleTime` float(15,1) unsigned NOT NULL,
`ProductRawMaterial` varchar(30) NOT NULL,
`PlanProdStartDate` date NOT NULL,
`PlanProdFinishDate` int(10) unsigned NOT NULL,
`WoStartDate` datetime DEFAULT NULL,
`WoFinishDate` datetime DEFAULT NULL,
`WoWorkTime` int(10) unsigned NOT NULL,
`WoSystemProductivity` smallint(6) unsigned NOT NULL,
`AssignStaff` varchar(50) DEFAULT '',
`WoStatus` smallint(6) NOT NULL,
`WoSortNumber` int(10) unsigned NOT NULL,
`CycleCount` int(11) unsigned NOT NULL,
`ControlDate` datetime NOT NULL ON UPDATE CURRENT_TIMESTAMP,
`WoProductionStatus` smallint(6) NOT NULL DEFAULT '0',
`Creator` varchar(50) NOT NULL,
`Changer` varchar(50) NOT NULL,
`CreateDate` datetime NOT NULL,
PRIMARY KEY (`WoNumber`) USING BTREE,
KEY `WoNumber` (`WoNumber`) USING BTREE,
KEY `WoNumber_2` (`WoNumber`) USING BTREE,
KEY `WoNumber_3` (`WoNumber`) USING BTREE
) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC
CREATE TABLE `machine` (
`MachCode` varchar(15) NOT NULL,
`MachModel` varchar(30) NOT NULL,
`FirstProdDate` date NOT NULL,
`MachCapacity` smallint(6) NOT NULL,
`MachStatus` smallint(6) NOT NULL,
`NowMoldOnMach` varchar(10) NOT NULL DEFAULT '',
`NowMachOperator` varchar(50) NOT NULL DEFAULT '',
`NowWorkOrder` varchar(20) NOT NULL DEFAULT '',
`IPNumber` varchar(15) NOT NULL,
`Creator` varchar(50) NOT NULL,
`Changer` varchar(50) NOT NULL,
`ControlDate` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`OperatorLoginDate` datetime DEFAULT NULL,
`Message` varchar(500) DEFAULT NULL,
`MessageReaded` smallint(6) DEFAULT '0',
`StaffName` varchar(50) DEFAULT 'OSIS',
`StaffImage` varchar(255) DEFAULT '',
`StopDesc` varchar(30) DEFAULT 'OSIS',
`StopTime` datetime DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`MachCode`) USING BTREE
) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC
CREATE TABLE `rawmaterials` (
`RawMaterialCode` varchar(15) NOT NULL,
`RawMaterialDescription` varchar(30) NOT NULL,
`RawMaterialColor` varchar(30) NOT NULL,
PRIMARY KEY (`RawMaterialCode`) USING BTREE,
KEY `RawMaterialCode` (`RawMaterialCode`) USING BTREE
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC
CREATE TABLE `staff` (
`StaffCode` varchar(15) DEFAULT NULL,
`StaffCardCode` varchar(10) DEFAULT NULL,
`StaffName` varchar(50) NOT NULL,
`StaffPassword` varchar(10) NOT NULL,
`StaffStatus` smallint(6) NOT NULL DEFAULT '2',
`StaffDateOfStart` date NOT NULL,
`StaffBirthDay` date DEFAULT NULL,
`StaffGender` varchar(5) DEFAULT NULL,
`StaffRoleA` smallint(6) NOT NULL,
`StaffEmail` varchar(100) NOT NULL,
`StaffImageLink` varchar(255) DEFAULT NULL,
`AccountName` varchar(50) NOT NULL,
`StaffRoleB` smallint(6) NOT NULL,
`StaffRoleD` smallint(6) NOT NULL,
`StaffRoleE` smallint(6) NOT NULL,
`StaffRoleC` smallint(6) NOT NULL,
`StaffRoleF` smallint(6) NOT NULL,
`StaffRoleG` smallint(6) NOT NULL,
`StaffRoleH` smallint(6) NOT NULL,
`StaffRoleI` smallint(6) NOT NULL,
`StaffRoleJ` smallint(6) NOT NULL,
`StaffRoleK` smallint(6) NOT NULL,
`StaffRoleL` smallint(6) NOT NULL,
`StaffRoleM` smallint(6) NOT NULL,
`StaffRoleN` smallint(6) NOT NULL,
`StaffConnection` smallint(6) NOT NULL DEFAULT '2',
`MachineWorked` varchar(15) DEFAULT NULL,
`WorkOrderWorked` varchar(20) DEFAULT NULL,
`StaffGroup` varchar(50) NOT NULL,
`Creator` varchar(50) NOT NULL,
`Changer` varchar(50) DEFAULT NULL,
PRIMARY KEY (`AccountName`) USING BTREE
) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC
CREATE TABLE `workorderb` (
`xWoNumber` varchar(20) NOT NULL,
`xMachCode` varchar(15) NOT NULL,
`xPlannedMoldCode` varchar(10) NOT NULL,
`xPartyNumber` smallint(6) NOT NULL,
`xStaffName` varchar(50) NOT NULL,
`xStopCode` smallint(6) NOT NULL,
`xStopStartTime` datetime NOT NULL,
`xStopFinishTime` datetime DEFAULT NULL,
`xStopTime` int(11) DEFAULT NULL,
PRIMARY KEY (`xMachCode`,`xStopStartTime`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC
Your query with the joins was nearly there: it was just missing a GROUP BYclause.
I have replaced workorder.* with workorder.WoNumber in the SELECT and added GROUP BY workorder.WoNumber.
You can add as many columns from workorder in the SELECT as you like but you must list them in the GROUP BY.
SELECT workorder.WoNumber,machine.MachModel,machine.MachStatus,rawmaterials.RawMaterialDescription,rawmaterials.RawMaterialColor,staff.StaffName,staff.StaffCode,SUM(workorderb.xStopTime)
FROM workorder
LEFT JOIN machine ON machine.MachCode=workorder.MachCode
LEFT JOIN rawmaterials ON rawmaterials.RawMaterialCode=workorder.ProductRawMaterial
LEFT JOIN staff ON staff.AccountName=workorder.AssignStaff
LEFT JOIN workorderb ON workorderb.xWoNumber=workorder.WoNumber
WHERE workorder.WoStatus=3
GROUP BY workorder.WoNumber \* <<= ADD OTHER COLUMNS HERE AS NEEDED *\
ORDER BY workorder.PlanProdStartDate DESC, workorder.WoSortNumber, workorder.WoNumber LIMIT 100;
db<>fiddle here
Use InnoDB, not MyISAM. MyISAM locks the entire table when INSERTing; InnoDB can often allow other threads to run when inserting.
Other notes
workorder has 4 identical indexes on wonumber; keep the PK, toss the rest. Note that a PRIMARY KEY is an index. Check the other tables for redundant Keys.
Do you need the mixture of DESC and ASC in ORDER BY PlanProdStartDate DESC, WoSortNumber, WoNumber? If not, there may be an optimization here.
As Kendle suggests, JOINs would be faster since there are cases where the same table is needed twice. If values might be missing, then LEFT might be useful; it won't change the performance.
Needed:
workorderb: INDEX(xWoNumber, xStopTime)
Is xStopTime an elapsed time? Or a time of day?

How do you design a database schema for a user profile page

Trying to set up a user profile page for a job site. The database I plan to use is the MySQL database.
Looking into a few database design I came up with this schema.
First, the user management tables
CREATE TABLE `user` (
`user_id` int(11) NOT NULL,
`firstname` varchar(32) NOT NULL,
`lastname` varchar(32) NOT NULL,
`email` varchar(96) NOT NULL,
`mobile_number` varchar(32) NOT NULL,
`password` varchar(40) NOT NULL,
`salt` varchar(9) NOT NULL,
`address_id` int(11) NOT NULL DEFAULT '0',
`ip` varchar(40) NOT NULL,
`status` tinyint(1) NOT NULL,
`approved` tinyint(1) NOT NULL,
`registration_date` datetime NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
CREATE TABLE `user_address` (
`user_id` int(11) NOT NULL,
`city` varchar(128) NOT NULL
`work_city` varchar(128) NOT NULL,
`postal_code` varchar(10) NOT NULL,
`country_id` int(11) NOT NULL DEFAULT '0'
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
CREATE TABLE `user_description` (
`user_id` int(11) NOT NULL,
`description` text NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
and then the education table and work experience
CREATE TABLE `education_detail` (
`user_id` int(11) NOT NULL,
`certificate_degree_name` varchar(255) DEFAULT NULL,
`major` varchar(255) DEFAULT NULL,
`institute_university_name` varchar(255) DEFAULT NULL,
`start_date` date NOT NULL DEFAULT '0000-00-00',
`completion_date` date NOT NULL DEFAULT '0000-00-00'
)
CREATE TABLE `experience_detail` (
`user_id` int(11) NOT NULL,
`is_current_job` int(2) DEFAULT NULL,
`start_date` date NOT NULL DEFAULT '0000-00-00',
`end_date` date NOT NULL DEFAULT '0000-00-00',
`job_title` varchar(255) DEFAULT NULL,
`company_name` varchar(255) DEFAULT NULL,
`job_location_city` varchar(255) DEFAULT NULL,
`job_location_state` varchar(255) DEFAULT NULL,
`job_location_country` varchar(255) DEFAULT NULL,
`job_description` varchar(255) DEFAULT NULL
)
Note that user_id in table user_address, user_description, education_detail and experience_detail is a foreign key referencing it to the table user.
There are a few more table like skills, certification etc to which I plan on using user_id as a FK.
My question, is this database design good enough? Can you suggest me what should be done more to make the design much better?
Keep in mind not all will have work experience, some may be freshers.
Use InnoDB, not MyISAM. (There are many Q&A explaining 'why'.)
NULL or an empty string is perfectly fine for a missing description. Do you have any further argument for disliking such? (Meanwhile, InnoDB is more efficient at handling optional big strings.)
Every table should have a PRIMARY KEY; you don't seem to have any. The first table probably needs user_id as the PK. Read about AUTO_INCREMENT.
As with description, why is address in a separate table?
May I suggest this for country name/code/id:
country_code CHAR(2) CHARACTER SET ascii
Education is 1:many from users, so user_id cannot be the PK. Ditto for jobs.

Long time to exec a simple query in mysql

I am with a performance problem in my MySQL database, and do not know if it's the server configuration issue or disk space, or simply not riding the query correctly.
a simple query that summarizes the total number of rows in a table by a distinct field, it takes more than 3 minutes. The status is "Sending data" for a long time.
the query is as follows:
SELECT COUNT (DISTINCT (ca.nm_slug)) the qtd_total
FROM consulta_atual ca
WHERE ca.cd_categoria_site = 436
below the description of the table (has a 4 million records)
CREATE TABLE IF NOT EXISTS `consulta_atual` (
`cd_categoria` int(11) NOT NULL DEFAULT '0',
`cd_categoria_site` int(11) DEFAULT NULL,
`ds_categoria` varchar(100) NOT NULL,
`ds_subcategoria` varchar(200) NOT NULL,
`cd_produto_price` bigint(11) NOT NULL,
`cd_seq` bigint(20) NOT NULL DEFAULT '0',
`tp_fornecedor` int(11) NOT NULL DEFAULT '0',
`name` varchar(300) NOT NULL,
`nm_slug` varchar(200) DEFAULT NULL,
`fornecedor` int(11) NOT NULL,
`url_img_fornecedor` varchar(200) NOT NULL,
`url_raiz_fornecedor` varchar(200) NOT NULL,
`url_imagem` varchar(500) NOT NULL,
`url_produto` varchar(500) NOT NULL,
`vlr_produto` varchar(49) NOT NULL DEFAULT '',
`pnt_produto` varchar(53) NOT NULL DEFAULT '',
`vlr_produto_original` float(10,2) NOT NULL,
`menor_valor` float DEFAULT NULL,
`maior_valor` float DEFAULT NULL,
`qtd_lojas` int(11) DEFAULT NULL,
PRIMARY KEY (`cd_produto_price`,`fornecedor`),
KEY `nm_slug_2` (`nm_slug`),
KEY `ds_categoria` (`ds_categoria`),
KEY `vlr_produto_original` (`vlr_produto_original`),
KEY `cd_categoria_site` (`cd_categoria_site`),
KEY `fornecedor` (`fornecedor`),
KEY `tp_fornecedor` (`tp_fornecedor`),
FULLTEXT KEY `name` (`name`),
FULLTEXT KEY `ds_categoria_2` (`ds_categoria`),
FULLTEXT KEY `ds_categoria_3` (`ds_categoria`,`name`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
How can I improve execution performance of this simple query?

Mysql Match…against query performance in InnoDB Mysql 5.6

I need to search records in the table which contains millions of records. I have recently updated Mysql version from 5.1 to 5.6.
I was using like in query which was taking around 15 sec to 30 sec.
Currently I have modified query to use MATCH... AGAINST feature of mysql 5.6 INNODB. My query goes like this.
SELECT JOB.IDJOB, JOB.IDEMPLOYER .....
FROM JOB
WHERE ( ( JOB.ITJOBSTARTTYPE=2 AND JOB.DTPLANNEDEND >= '2015-07-06' )
OR ( JOB.ITJOBSTARTTYPE=1
AND ( ( JOB.ITJOBENDTYPE=2 ) OR ( JOB.DTJOBEND>='2015-07-06') )
)
OR ( JOB.ITJOBSTARTTYPE=3
AND ( (JOB.DTJOBEND >='2015-07-06') OR (JOB.ITJOBENDTYPE=2) )
)
)
AND MATCH(VCJOBTITLE, LVJOBCOMPANYDESCRIPTION, VCCOMPANYNAME,
VCSALARYDESC, VCCITY, VCQUALIFICATIONREQUIRED,VCJOBREFERENCE,
LVJOBKEYWORDS )
AGAINST ('test' IN NATURAL LANGUAGE MODE)
ORDER BY JOB.ITJOBBAND ASC,
JOB.VCRANKING DESC,
JOB.IDJOB DESC,
JOB.FJOBWEIGHT ASC
LIMIT 50;
Which takes 80- 120 seconds (3X slower )
If I remove ORDER BY it will load in 6 to 10 sec.
Is their any setting Or performance tunning we can apply here?
Edit: using show create table JOB;
CREATE TABLE `JOB` (
`idJob` int(11) NOT NULL AUTO_INCREMENT,
`idEmployer` int(10) DEFAULT NULL,
`vcJobTitle` varchar(255) NOT NULL,
`lvJobCompanyDescription` text,
`idBasket` int(10) DEFAULT NULL,
`dtActualgolive` datetime DEFAULT NULL COMMENT 'whenever job status become online',
`boImmediatelygolive` int(11) NOT NULL,
`dtRequestedgolive` date DEFAULT NULL,
`dtActualend` datetime DEFAULT NULL COMMENT 'when job is set to be archieved',
`dtPlannedend` date NOT NULL COMMENT 'when posting a job this is calculated. batch will look at this date. date on which regular jobs will be archievd, or date on which internship jobs will be changed to listing',
`dtRequestedend` date DEFAULT NULL COMMENT 'exact date on which employer wants jobs to be archieved',
`dtApplicationdeadline` date DEFAULT NULL COMMENT 'job will be converted to listing on this date',
`boDurationinweeks` int(11) NOT NULL COMMENT 'whether employer gave duration in weeks or not',
`itDurationweeks` int(2) DEFAULT NULL,
`boIsoncredit` int(11) NOT NULL,
`dtCreditend` date DEFAULT NULL,
`fJobbaseprice` float NOT NULL,
`fJobpriceafteradminitemdiscount` float NOT NULL COMMENT 'price after admin item discount',
`fJobpriceafterpromodiscount` float NOT NULL COMMENT 'price after promo discount',
`vcPromotioncode` varchar(50) DEFAULT NULL,
`vcCompanyname` varchar(100) NOT NULL,
`vcSalarydesc` varchar(255) NOT NULL,
`vcCity` varchar(100) NOT NULL,
`vcCounty` varchar(120) DEFAULT NULL,
`vcQualificationrequired` text,
`boWorkfromhome` int(11) NOT NULL,
`boResidential` int(11) NOT NULL,
`boIndoor` int(11) NOT NULL,
`boOutdoor` int(11) NOT NULL,
`boIndoorandoutdoor` int(11) NOT NULL,
`itJobstarttype` int(11) DEFAULT NULL COMMENT 'date,immidiate,always recruiting',
`dtJobstart` date DEFAULT NULL,
`itJobendtype` int(11) DEFAULT NULL COMMENT 'date,ongoing',
`dtJobend` date DEFAULT NULL,
`dtFeaturedstart` date DEFAULT NULL,
`dtFeaturedend` date DEFAULT NULL,
`itFulltimeparttime` int(11) NOT NULL COMMENT 'fulltime,parttime,both',
`boEveningtime` int(11) NOT NULL,
`boDaytime` int(11) NOT NULL,
`boWeekend` int(11) NOT NULL,
`boNewsletter` int(11) NOT NULL,
`vcApplyemail` varchar(500) DEFAULT NULL,
`vcApplyphone` varchar(200) DEFAULT NULL,
`vcApplyaddress` varchar(100) DEFAULT NULL,
`vcApplyURL` varchar(500) DEFAULT NULL,
`boRequirephone` int(11) DEFAULT NULL,
`boRequireaddress` int(11) DEFAULT NULL,
`boRequirecv` int(11) DEFAULT NULL,
`boFeatured` int(11) NOT NULL,
`blLogo` longblob,
`itJobstatus` int(1) DEFAULT NULL COMMENT 'online,offline',
`itEmailedtofriendcount` int(5) DEFAULT NULL COMMENT 'keeps count of how many times users clicked on link email this to friend',
`itDeadlinetype` int(1) DEFAULT NULL,
`idInternshiptypemaster` int(11) DEFAULT NULL,
`vcLengthofscheme` varchar(100) DEFAULT NULL,
`dtInternshiplistingend` date DEFAULT NULL COMMENT 'date when internship job will archieve',
`itJobband` int(2) DEFAULT NULL,
`boGraduate` int(11) NOT NULL,
`boInternship` int(11) NOT NULL,
`boGaptemp` int(11) NOT NULL,
`boParttimeholiday` int(11) NOT NULL,
`boEntrylevel` int(11) NOT NULL DEFAULT '0',
`boHundredPercentDiscountApplicable` int(11) NOT NULL,
`vcContactdetails` varchar(100) DEFAULT NULL,
`vcJobreference` varchar(100) DEFAULT NULL COMMENT 'for importing totaljobs feeds',
`vcJoburlparam` varchar(100) DEFAULT NULL COMMENT 'for importing totaljobs url params',
`dtPutInCurrentBand` datetime DEFAULT NULL COMMENT 'date when job is online and put in band 3',
`itInitcountycount` int(2) NOT NULL,
`created_at` datetime DEFAULT NULL,
`updated_at` datetime DEFAULT NULL,
`lvJobkeywords` text,
`fJobweight` decimal(10,2) DEFAULT '1.00' COMMENT 'Holds the job weight ranging between 0 to 1 (1 being the highest weight)',
`dtReinstatedOn` datetime DEFAULT NULL,
`boIncludeiniframe` int(11) DEFAULT NULL,
`boIsAdvertFeatured` int(11) DEFAULT NULL,
`itincludexml` int(1) DEFAULT '1',
`boAddtojobalert` int(11) DEFAULT '1',
`vcRanking` int(11) DEFAULT '999999',
`itIncludeUkptj` int(11) DEFAULT '1',
PRIMARY KEY (`idJob`),
KEY `JOB_I_1` (`idEmployer`,`itJobstatus`),
KEY `JOB_I_2` (`itJobstatus`,`boGaptemp`,`dtJobstart`),
KEY `JOB_I_3` (`itJobstatus`,`boGraduate`,`dtJobstart`),
KEY `JOB_I_4` (`itJobstatus`,`boInternship`,`dtJobstart`),
KEY `JOB_I_5` (`itJobstatus`,`boParttimeholiday`,`dtJobstart`),
KEY `FI_JOB_idOrder_ORDER_idOrder` (`idBasket`),
KEY `FI_JOB_vcPromotioncode_PROMOTION_vcPromotioncode` (`vcPromotioncode`),
KEY `FI_JOB_idInternshiptype_ITTM_idInternshiptypemaster` (`idInternshiptypemaster`),
KEY `JOB_I_6` (`created_at`),
KEY `boEntrylevel` (`boEntrylevel`),
KEY `itJobband` (`itJobband`),
FULLTEXT KEY `index_ft_search` (`vcJobTitle`,`lvJobCompanyDescription`,`vcCompanyname`,`vcSalarydesc`,`vcCity`,`vcQualificationrequired`,`vcJobreference`,`lvJobkeywords`),
CONSTRAINT `fk_JOB_idEmployer_EMPLOYER_idEmployer` FOREIGN KEY (`idEmployer`) REFERENCES `EMPLOYER` (`idEmployer`),
CONSTRAINT `fk_JOB_idInternshiptype_ITTM_idInternshiptypemaster` FOREIGN KEY (`idInternshiptypemaster`) REFERENCES `INTERNSHIPTYPEMASTER` (`idInternshiptypemaster`),
CONSTRAINT `fk_JOB_idOrder_ORDER_idOrder` FOREIGN KEY (`idBasket`) REFERENCES `BASKET` (`idBasket`),
CONSTRAINT `fk_JOB_vcPromotioncode_PROMOTION_vcPromotioncode` FOREIGN KEY (`vcPromotioncode`) REFERENCES `PROMOTION` (`vcPromotioncode`)
) ENGINE=InnoDB AUTO_INCREMENT=1739324 DEFAULT CHARSET=latin1 |
Edit:
Without sort:
With Sort:

MySQL most faster results with indexes

I have the following structure with indexes that help us to retrieve faster:
CREATE TABLE IF NOT EXISTS `index_site` ( `id_building` char(32) NOT NULL, `id_client` char(32) NOT NULL, `id_broker` smallint(5) unsigned NOT NULL, `kind_client` char(1) NOT NULL, `city` smallint(6) unsigned NOT NULL, `lat` float(10,6) NOT NULL, `lng` float(10,6) NOT NULL, `zone` smallint(2) unsigned NOT NULL, `sector` smallint(4) unsigned NOT NULL, `subregion` smallint(6) unsigned NOT NULL, `country` char(2) NOT NULL, `habs` smallint(5) unsigned NOT NULL, `bath` smallint(5) unsigned NOT NULL, `persons` smallint(5) unsigned NOT NULL, `include_elevator` enum('1','0') NOT NULL, `build_level` varchar(20) NOT NULL, `area` mediumint(8) unsigned NOT NULL, `area_um` enum('1','2','3','4','5') NOT NULL, `area_str` varchar(10) NOT NULL, `code` char(10) NOT NULL, `title` tinytext NOT NULL, `type_offer` varchar(50) NOT NULL, `offer_name` varchar(20) NOT NULL, `comments` text NOT NULL, `type_building` varchar(50) NOT NULL, `address` tinytext NOT NULL, `sector_name` tinytext NOT NULL, `city_name` varchar(50) NOT NULL, `subregion_name` varchar(50) NOT NULL, `area_terrain` varchar(10) NOT NULL, `area_um_terrain` tinyint(4) NOT NULL, `image` varchar(70) NOT NULL, `image_total` tinyint(2) unsigned NOT NULL, `build_status` tinyint(3) unsigned NOT NULL, `tags` text NOT NULL, `url` varchar(200) NOT NULL, `include_offer_value` enum('1','0') NOT NULL, `offer_value` varchar(15) NOT NULL, `offer_value_format` varchar(20) NOT NULL, `prc_comission` varchar(5) NOT NULL, `date_added` datetime NOT NULL, `date_updated` datetime NOT NULL, `date_expire` datetime NOT NULL, `date_suspended` date NOT NULL, `visits` int(11) NOT NULL, `kind_offer` tinyint(4) NOT NULL, `kind_building` tinyint(5) unsigned NOT NULL, `kind_building_type` tinyint(5) unsigned NOT NULL, `mark_bld` tinyint(3) unsigned NOT NULL, `mark_bld_color` char(7) NOT NULL, `status` tinyint(1) unsigned NOT NULL, `is_made` enum('0','1') NOT NULL, `is_project` enum('0','1') NOT NULL, `is_bm` enum('0','1') NOT NULL, `is_demo` enum('0','1') NOT NULL, `is_leading` enum('0','1') NOT NULL, `visible_in_metasearch` mediumtext NOT NULL, `visible_in_web` mediumtext NOT NULL, `seller_image` varchar(150) NOT NULL, `seller_name` varchar(50) NOT NULL,
KEY `id_broker` (`id_broker`), KEY `id_client` (`id_client`), KEY `kind_building` `kind_building`), KEY `city` (`city`), KEY `offer_value` (`offer_value`), KEY `is_bm` (`is_bm`), KEY `status` (`status`), KEY `sector` (`sector`), KEY `zone` (`zone`), KEY `area` (`area`), KEY `prc_comission` (`prc_comission`), KEY `is_made` (`is_made`), KEY `is_leading` (`is_leading`), KEY `id_building` (`id_building`), KEY `date_added` (`date_added`), KEY `code` (`code`), KEY `country` (`country`), KEY `habs` (`habs`), KEY `kind_offer` (`kind_offer`), FULLTEXT KEY `tags` (`tags`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=FIXED;
Yes, it's too big!!! :)
Okay, the topic is in structure I use some keys when I find results; this is normal and I execute the following query:
SELECT * FROM `index_site` WHERE kind_building='1' AND kind_offer='1' AND city='1'
This query took 0.0179 seconds, great, but I add EXPLAIN to my query:
EXPLAIN SELECT * FROM `index_site` WHERE kind_building='1' AND kind_offer='1' AND city='1'
I got the following result:
+----+-------------+------------+-------------+-------------------------------+-------------------------------+---------+------+------+-------------------------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+------------+-------------+-------------------------------+-------------------------------+---------+------+------+-------------------------------------------------------------+
| 1 | SIMPLE | index_site | index_merge | kind_building,city,kind_offer | kind_offer,city,kind_building | 1,2,1 | NULL | 184 | Using intersect(kind_offer,city,kind_building); Using where |
+----+-------------+------------+-------------+-------------------------------+-------------------------------+---------+------+------+-------------------------------------------------------------+
And I use the right keys but in the column Extra by MySQL when I get "Using where" they say that "you look something is wrong".
My question is, if I have a correct query with indexes, What is the problem to get "Using where" Whats wrong?
Thanks for your help!
From the docs:
If the Extra column also says Using where, it means the index is being used to perform lookups of key values.
You are selecting all fields (*) from the table.
Since not all fields are covered by indexes used in the merge intersect, the fields need to be looked up in the table itself.
Try running this:
SELECT kind_building, kind_offer, city
FROM index_site
WHERE kind_building = '1'
AND kind_offer = '1'
AND city = '1'
, and Using where should go.