MYSQL OR vs IN performance

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一向
一向 2020-11-22 04:12

I am wondering if there is any difference in regards to performance between the following

SELECT ... FROM ... WHERE someFIELD IN(1,2,3,4)

SELECT ... FROM ..         


        
14条回答
  •  無奈伤痛
    2020-11-22 04:55

    Below are details of 6 queries using MySQL 5.6 @SQLFiddle

    In summary the 6 queries cover independently indexed columns and 2 queries were used per data type. All queries resulted in use of an index regardless of IN() or ORs being used.

            |   ORs      |   IN()
    integer | uses index | uses index
    date    | uses index | uses index
    varchar | uses index | uses index
    

    I really just wanted to debunk statements made that OR means no index can be used. This isn't true. Indexes can be used in queries using OR as the 6 queries in the following examples display.

    Also it seems to me that many have ignored the fact that IN() is a syntax shortcut for a set of ORs. At small scale perfomance differences between using IN() -v- OR are extremely (infintessinally) marginal.

    While at larger scale IN() is certainly more convenient, but it sill equates to a set of OR conditions logically. Circumstance change for each query so testing your query on your tables is always best.

    Summary of the 6 explain plans, all "Using index condition" (scroll right)

      Query               select_type    table    type    possible_keys      key      key_len   ref   rows   filtered           Extra          
                          ------------- --------- ------- --------------- ----------- --------- ----- ------ ---------- ----------------------- 
      Integers using OR   SIMPLE        mytable   range   aNum_idx        aNum_idx    4               10     100.00     Using index condition  
      Integers using IN   SIMPLE        mytable   range   aNum_idx        aNum_idx    4               10     100.00     Using index condition  
      Dates using OR      SIMPLE        mytable   range   aDate_idx       aDate_idx   6               7      100.00     Using index condition  
      Dates using IN      SIMPLE        mytable   range   aDate_idx       aDate_idx   6               7      100.00     Using index condition  
      Varchar using OR    SIMPLE        mytable   range   aName_idx       aName_idx   768             10     100.00     Using index condition  
      Varchar using IN    SIMPLE        mytable   range   aName_idx       aName_idx   768             10     100.00     Using index condition  
    

    SQL Fiddle

    MySQL 5.6 Schema Setup:

    CREATE TABLE `myTable` (
      `id` mediumint(8) unsigned NOT NULL auto_increment,
      `aName` varchar(255) default NULL,
      `aDate` datetime,
      `aNum`  mediumint(8),
      PRIMARY KEY (`id`)
    ) AUTO_INCREMENT=1;
    
    ALTER TABLE `myTable` ADD INDEX `aName_idx` (`aName`);
    ALTER TABLE `myTable` ADD INDEX `aDate_idx` (`aDate`);
    ALTER TABLE `myTable` ADD INDEX `aNum_idx` (`aNum`);
    
    INSERT INTO `myTable` (`aName`,`aDate`)
     VALUES 
     ("Daniel","2017-09-19 01:22:31")
    ,("Quentin","2017-06-03 01:06:45")
    ,("Chester","2017-06-14 17:49:36")
    ,("Lev","2017-08-30 06:27:59")
    ,("Garrett","2018-10-04 02:40:37")
    ,("Lane","2017-01-22 17:11:21")
    ,("Chaim","2017-09-20 11:13:46")
    ,("Kieran","2018-03-10 18:37:26")
    ,("Cedric","2017-05-20 16:25:10")
    ,("Conan","2018-07-10 06:29:39")
    ,("Rudyard","2017-07-14 00:04:00")
    ,("Chadwick","2018-08-18 08:54:08")
    ,("Darius","2018-10-02 06:55:56")
    ,("Joseph","2017-06-19 13:20:33")
    ,("Wayne","2017-04-02 23:20:25")
    ,("Hall","2017-10-13 00:17:24")
    ,("Craig","2016-12-04 08:15:22")
    ,("Keane","2018-03-12 04:21:46")
    ,("Russell","2017-07-14 17:21:58")
    ,("Seth","2018-07-25 05:51:30")
    ,("Cole","2018-06-09 15:32:53")
    ,("Donovan","2017-08-12 05:21:35")
    ,("Damon","2017-06-27 03:44:19")
    ,("Brian","2017-02-01 23:35:20")
    ,("Harper","2017-08-25 04:29:27")
    ,("Chandler","2017-09-30 23:54:06")
    ,("Edward","2018-07-30 12:18:07")
    ,("Curran","2018-05-23 09:31:53")
    ,("Uriel","2017-05-08 03:31:43")
    ,("Honorato","2018-04-07 14:57:53")
    ,("Griffin","2017-01-07 23:35:31")
    ,("Hasad","2017-05-15 05:32:41")
    ,("Burke","2017-07-04 01:11:19")
    ,("Hyatt","2017-03-14 17:12:28")
    ,("Brenden","2017-10-17 05:16:14")
    ,("Ryan","2018-10-10 08:07:55")
    ,("Giacomo","2018-10-06 14:21:21")
    ,("James","2018-02-06 02:45:59")
    ,("Colt","2017-10-10 08:11:26")
    ,("Kermit","2017-09-18 16:57:16")
    ,("Drake","2018-05-20 22:08:36")
    ,("Berk","2017-04-16 17:39:32")
    ,("Alan","2018-09-01 05:33:05")
    ,("Deacon","2017-04-20 07:03:05")
    ,("Omar","2018-03-02 15:04:32")
    ,("Thaddeus","2017-09-19 04:07:54")
    ,("Troy","2016-12-13 04:24:08")
    ,("Rogan","2017-11-02 00:03:25")
    ,("Grant","2017-08-21 01:45:16")
    ,("Walker","2016-11-26 15:54:52")
    ,("Clarke","2017-07-20 02:26:56")
    ,("Clayton","2018-08-16 05:09:29")
    ,("Denton","2018-08-11 05:26:05")
    ,("Nicholas","2018-07-19 09:29:55")
    ,("Hashim","2018-08-10 20:38:06")
    ,("Todd","2016-10-25 01:01:36")
    ,("Xenos","2017-05-11 22:50:35")
    ,("Bert","2017-06-17 18:08:21")
    ,("Oleg","2018-01-03 13:10:32")
    ,("Hall","2018-06-04 01:53:45")
    ,("Evan","2017-01-16 01:04:25")
    ,("Mohammad","2016-11-18 05:42:52")
    ,("Armand","2016-12-18 06:57:57")
    ,("Kaseem","2018-06-12 23:09:57")
    ,("Colin","2017-06-29 05:25:52")
    ,("Arthur","2016-12-29 04:38:13")
    ,("Xander","2016-11-14 19:35:32")
    ,("Dante","2016-12-01 09:01:04")
    ,("Zahir","2018-02-17 14:44:53")
    ,("Raymond","2017-03-09 05:33:06")
    ,("Giacomo","2017-04-17 06:12:52")
    ,("Fulton","2017-06-04 00:41:57")
    ,("Chase","2018-01-14 03:03:57")
    ,("William","2017-05-08 09:44:59")
    ,("Fuller","2017-03-31 20:35:20")
    ,("Jarrod","2017-02-15 02:45:29")
    ,("Nissim","2018-03-11 14:19:25")
    ,("Chester","2017-11-05 00:14:27")
    ,("Perry","2017-12-24 11:58:04")
    ,("Theodore","2017-06-26 12:34:12")
    ,("Mason","2017-10-02 03:53:49")
    ,("Brenden","2018-10-08 10:09:47")
    ,("Jerome","2017-11-05 20:34:25")
    ,("Keaton","2018-08-18 00:55:56")
    ,("Tiger","2017-05-21 16:59:07")
    ,("Benjamin","2018-04-10 14:46:36")
    ,("John","2018-09-05 18:53:03")
    ,("Jakeem","2018-10-11 00:17:38")
    ,("Kenyon","2017-12-18 22:19:29")
    ,("Ferris","2017-03-29 06:59:13")
    ,("Hoyt","2017-01-03 03:48:56")
    ,("Fitzgerald","2017-07-27 11:27:52")
    ,("Forrest","2017-10-05 23:14:21")
    ,("Jordan","2017-01-11 03:48:09")
    ,("Lev","2017-05-25 08:03:39")
    ,("Chase","2017-06-18 19:09:23")
    ,("Ryder","2016-12-13 12:50:50")
    ,("Malik","2017-11-19 15:15:55")
    ,("Zeph","2018-04-04 11:22:12")
    ,("Amala","2017-01-29 07:52:17")
    ;
    

    .

    update MyTable
    set aNum = id
    ;
    

    Query 1:

    select 'aNum by OR' q, mytable.*
    from mytable
    where aNum = 12
    OR aNum = 22
    OR aNum = 27
    OR aNum = 32
    OR aNum = 42
    OR aNum = 52
    OR aNum = 62
    OR aNum = 65
    OR aNum = 72
    OR aNum = 82
    

    Results:

    |          q | id |    aName |                aDate | aNum |
    |------------|----|----------|----------------------|------|
    | aNum by OR | 12 | Chadwick | 2018-08-18T08:54:08Z |   12 |
    | aNum by OR | 22 |  Donovan | 2017-08-12T05:21:35Z |   22 |
    | aNum by OR | 27 |   Edward | 2018-07-30T12:18:07Z |   27 |
    | aNum by OR | 32 |    Hasad | 2017-05-15T05:32:41Z |   32 |
    | aNum by OR | 42 |     Berk | 2017-04-16T17:39:32Z |   42 |
    | aNum by OR | 52 |  Clayton | 2018-08-16T05:09:29Z |   52 |
    | aNum by OR | 62 | Mohammad | 2016-11-18T05:42:52Z |   62 |
    | aNum by OR | 65 |    Colin | 2017-06-29T05:25:52Z |   65 |
    | aNum by OR | 72 |   Fulton | 2017-06-04T00:41:57Z |   72 |
    | aNum by OR | 82 |  Brenden | 2018-10-08T10:09:47Z |   82 |
    

    Query 2:

    select 'aNum by IN' q, mytable.*
    from mytable
    where aNum IN (
                12
              , 22
              , 27
              , 32
              , 42
              , 52
              , 62
              , 65
              , 72
              , 82
              )
    

    Results:

    |          q | id |    aName |                aDate | aNum |
    |------------|----|----------|----------------------|------|
    | aNum by IN | 12 | Chadwick | 2018-08-18T08:54:08Z |   12 |
    | aNum by IN | 22 |  Donovan | 2017-08-12T05:21:35Z |   22 |
    | aNum by IN | 27 |   Edward | 2018-07-30T12:18:07Z |   27 |
    | aNum by IN | 32 |    Hasad | 2017-05-15T05:32:41Z |   32 |
    | aNum by IN | 42 |     Berk | 2017-04-16T17:39:32Z |   42 |
    | aNum by IN | 52 |  Clayton | 2018-08-16T05:09:29Z |   52 |
    | aNum by IN | 62 | Mohammad | 2016-11-18T05:42:52Z |   62 |
    | aNum by IN | 65 |    Colin | 2017-06-29T05:25:52Z |   65 |
    | aNum by IN | 72 |   Fulton | 2017-06-04T00:41:57Z |   72 |
    | aNum by IN | 82 |  Brenden | 2018-10-08T10:09:47Z |   82 |
    

    Query 3:

    select 'adate by OR' q, mytable.*
    from mytable
    where aDate= str_to_date("2017-02-15 02:45:29",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2018-03-10 18:37:26",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2017-05-20 16:25:10",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2018-07-10 06:29:39",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2017-07-14 00:04:00",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2018-08-18 08:54:08",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2018-10-02 06:55:56",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2017-04-20 07:03:05",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2018-03-02 15:04:32",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2017-09-19 04:07:54",'%Y-%m-%d %h:%i:%s')
    OR aDate = str_to_date("2016-12-13 04:24:08",'%Y-%m-%d %h:%i:%s')
    

    Results:

    |           q | id |    aName |                aDate | aNum |
    |-------------|----|----------|----------------------|------|
    | adate by OR | 47 |     Troy | 2016-12-13T04:24:08Z |   47 |
    | adate by OR | 76 |   Jarrod | 2017-02-15T02:45:29Z |   76 |
    | adate by OR | 44 |   Deacon | 2017-04-20T07:03:05Z |   44 |
    | adate by OR | 46 | Thaddeus | 2017-09-19T04:07:54Z |   46 |
    | adate by OR | 10 |    Conan | 2018-07-10T06:29:39Z |   10 |
    | adate by OR | 12 | Chadwick | 2018-08-18T08:54:08Z |   12 |
    | adate by OR | 13 |   Darius | 2018-10-02T06:55:56Z |   13 |
    

    Query 4:

    select 'adate by IN' q, mytable.*
    from mytable
    where aDate IN (
              str_to_date("2017-02-15 02:45:29",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2018-03-10 18:37:26",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2017-05-20 16:25:10",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2018-07-10 06:29:39",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2017-07-14 00:04:00",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2018-08-18 08:54:08",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2018-10-02 06:55:56",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2017-04-20 07:03:05",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2018-03-02 15:04:32",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2017-09-19 04:07:54",'%Y-%m-%d %h:%i:%s')
            , str_to_date("2016-12-13 04:24:08",'%Y-%m-%d %h:%i:%s')
            )
    

    Results:

    |           q | id |    aName |                aDate | aNum |
    |-------------|----|----------|----------------------|------|
    | adate by IN | 47 |     Troy | 2016-12-13T04:24:08Z |   47 |
    | adate by IN | 76 |   Jarrod | 2017-02-15T02:45:29Z |   76 |
    | adate by IN | 44 |   Deacon | 2017-04-20T07:03:05Z |   44 |
    | adate by IN | 46 | Thaddeus | 2017-09-19T04:07:54Z |   46 |
    | adate by IN | 10 |    Conan | 2018-07-10T06:29:39Z |   10 |
    | adate by IN | 12 | Chadwick | 2018-08-18T08:54:08Z |   12 |
    | adate by IN | 13 |   Darius | 2018-10-02T06:55:56Z |   13 |
    

    Query 5:

    select 'name by  OR' q, mytable.*
    from mytable
    where aname = 'Alan'
    OR aname = 'Brian'
    OR aname = 'Chandler'
    OR aname = 'Darius'
    OR aname = 'Evan'
    OR aname = 'Ferris'
    OR aname = 'Giacomo'
    OR aname = 'Hall'
    OR aname = 'James'
    OR aname = 'Jarrod'
    

    Results:

    |           q | id |    aName |                aDate | aNum |
    |-------------|----|----------|----------------------|------|
    | name by  OR | 43 |     Alan | 2018-09-01T05:33:05Z |   43 |
    | name by  OR | 24 |    Brian | 2017-02-01T23:35:20Z |   24 |
    | name by  OR | 26 | Chandler | 2017-09-30T23:54:06Z |   26 |
    | name by  OR | 13 |   Darius | 2018-10-02T06:55:56Z |   13 |
    | name by  OR | 61 |     Evan | 2017-01-16T01:04:25Z |   61 |
    | name by  OR | 90 |   Ferris | 2017-03-29T06:59:13Z |   90 |
    | name by  OR | 37 |  Giacomo | 2018-10-06T14:21:21Z |   37 |
    | name by  OR | 71 |  Giacomo | 2017-04-17T06:12:52Z |   71 |
    | name by  OR | 16 |     Hall | 2017-10-13T00:17:24Z |   16 |
    | name by  OR | 60 |     Hall | 2018-06-04T01:53:45Z |   60 |
    | name by  OR | 38 |    James | 2018-02-06T02:45:59Z |   38 |
    | name by  OR | 76 |   Jarrod | 2017-02-15T02:45:29Z |   76 |
    

    Query 6:

    select 'name by IN' q, mytable.*
    from mytable
    where aname IN (
          'Alan'
         ,'Brian'
         ,'Chandler'
         , 'Darius'
         , 'Evan'
         , 'Ferris'
         , 'Giacomo'
         , 'Hall'
         , 'James'
         , 'Jarrod'
         )
    

    Results:

    |          q | id |    aName |                aDate | aNum |
    |------------|----|----------|----------------------|------|
    | name by IN | 43 |     Alan | 2018-09-01T05:33:05Z |   43 |
    | name by IN | 24 |    Brian | 2017-02-01T23:35:20Z |   24 |
    | name by IN | 26 | Chandler | 2017-09-30T23:54:06Z |   26 |
    | name by IN | 13 |   Darius | 2018-10-02T06:55:56Z |   13 |
    | name by IN | 61 |     Evan | 2017-01-16T01:04:25Z |   61 |
    | name by IN | 90 |   Ferris | 2017-03-29T06:59:13Z |   90 |
    | name by IN | 37 |  Giacomo | 2018-10-06T14:21:21Z |   37 |
    | name by IN | 71 |  Giacomo | 2017-04-17T06:12:52Z |   71 |
    | name by IN | 16 |     Hall | 2017-10-13T00:17:24Z |   16 |
    | name by IN | 60 |     Hall | 2018-06-04T01:53:45Z |   60 |
    | name by IN | 38 |    James | 2018-02-06T02:45:59Z |   38 |
    | name by IN | 76 |   Jarrod | 2017-02-15T02:45:29Z |   76 |
    

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