SlideShare a Scribd company logo
1 of 102
Download to read offline
Capturing, Analyzing &
       Optimizing your SQL
       Padraig O'Sullivan - http://posulliv.com/
     Ronald Bradford - http://ronaldbradford.com/


ODTUG – June 2010
Capturing your SQL

ODTUG – June 2010
MySQL Provided Options
    Slow Query Log
    General Query Log
    Binary Log
    Connectors
    Processlist
    Engine status
    Status variables

ODTUG – June 2010
Other Techniques
    MySQL Proxy
    TCP/IP Capture
    Dtrace/SystemTap
    Application Management




ODTUG – June 2010
Slow Query Log
    Not enabled by default
        log-slow-queries = /path/to/file (5.0)
        slow_query_log/slow_query_log_file (5.1)
    Granularity of seconds
        Microsecond patch by percona
    Default slow time is 10 seconds
        long_query_time = 2
    Log output to file or table (5.1)
        log_output = FILE | TABLE | BOTH
                    http://dev.mysql.com/doc/refman/5.1/en/slow-query-log.html

ODTUG – June 2010
Slow Query Log Example
# Time: 100518 19:34:31
# User@Host: user[db] @ localhost []
# Query_time: 4  Lock_time: 0  Rows_sent: 1155  Rows_examined: 1663671
select distinct visitorid from log where 
timestamp like '20100518%' and accountid!=1 and 
accountid!=37 and file not like '%admin%';
# Time: 100518 19:35:37
# User@Host: user[db] @ localhost []
# Query_time: 4  Lock_time: 0  Rows_sent: 6  Rows_examined: 1662525
select distinct accountid from log 
where timestamp>='20100518132033' and accountid NOT IN ('0','1','37','1635');
# Time: 100518 19:35:41
# User@Host: user[db] @ localhost []
# Query_time: 4  Lock_time: 0  Rows_sent: 2477  Rows_examined: 1664996
select timestamp, file from log 
where timestamp>='20100518000000' and timestamp<='end' and accountid!=1 and accountid!=37 
order by timestamp desc;
# Time: 100518 19:35:44
# User@Host: user[db] @ localhost []
# Query_time: 3  Lock_time: 0  Rows_sent: 1157  Rows_examined: 1663676
select distinct visitorid from log 
where timestamp like '20100518%' and accountid!=1 and accountid!=37 
and file not like '%admin%';


  ODTUG – June 2010
Slow Query Table Example

mysql> select start_time, query_time, rows_sent, rows_examined, db, sql_text
    ­> from mysql.slow_log;
+­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| start_time          | query_time | rows_sent | rows_examined | db     | sql_text                          |
+­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| 2010­06­14 13:43:37 | 00:03:45   |         1 |      31290045 | drupal | select count(*) from search_index | 
+­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
1 row in set (0.00 sec)

mysql>




ODTUG – June 2010
General Query Log
    Not enabled by default
        log = /path/to/file
        general_log/general_log_file (5.1)
    Log output to file or table (5.1)
        log_output = FILE | TABLE | BOTH
    Never use in production
        Ideal for development, unit testing
        environments
                      http://dev.mysql.com/doc/refman/5.1/en/query-log.html

ODTUG – June 2010
General Query Log Example
    Output using Wordpress


 26 Query SELECT * FROM wp_users WHERE user_login = 'xxxx'
 26 Query SELECT meta_key, meta_value FROM wp_usermeta WHERE user_id = 2
 26 Query SELECT option_value FROM wp_options WHERE option_name = 'sidebars_widgets' LIMIT 1
 26 Query SELECT SQL_CALC_FOUND_ROWS wp_posts.* FROM wp_posts WHERE 1=1 AND
 wp_posts.post_type = 'post' AND (wp_posts.post_status = 'publish' OR wp_posts.post_status = 'private')
 ORDER BY wp_posts.post_date DESC LIMIT 0, 10
 26 Query SELECT FOUND_ROWS()
 26 Query SELECT t.*, tt.*, tr.object_id FROM wp_terms AS t INNER JOIN wp_term_taxonomy AS tt
 ON tt.term_id = t.term_id INNER JOIN wp_term_relationships AS tr
 ON tr.term_taxonomy_id = tt.term_taxonomy_id WHERE tt.taxonomy IN ('category', 'post_tag') AND
 tr.object_id IN (2849, 2842, 2836, 2824, 2812, 2680, 2813, 2800, 2770, 2784) ORDER BY t.name ASC
 26 Query SELECT post_id, meta_key, meta_value FROM wp_postmeta WHERE post_id
 IN (2849,2842,2836,2824,2812,2680,2813,2800,2770,2784)




ODTUG – June 2010
General Query Log Example (2)
    Framework new connection


    23 Connect     user@host
    23 Query       SELECT 1
    23 Query       SET NAMES utf8
    23 Query       SET character_set_results = NULL
    23 Query       SHOW VARIABLES
    23 Query       SHOW COLLATION
    23 Query       SET autocommit=1
    23 Query       SET SESSION TRANSACTION ISOLATION LEVEL READ COMMITTED
    23 Query       SET autocommit=0




ODTUG – June 2010
General Query Log Example (3)
     Finding framework overhead
         ROLLBACK after every SELECT
         SELECT 1 – connection ping test
    23 Query       select count(*) from collection where account_name = 'xxx' 
                   and user_id = '313'
    23 Query       rollback
    23 Query       select 1
    23 Query       select count(*) from collection where account_name = 'xxx' 
                   and user_id = '346'
    23 Query       rollback
    23 Query       select 1
    23 Query       select name,user_id,date_format(`register_time`,'%Y%m%d%H%i%S') as 
                   createTime   from account where name = 'xxx' and 
                   user_id = '346'  and `status` = '1'
    23 Query       rollback
    23 Query       select 1
    23 Query       select max(mdate)  from received where account_name = 'xxx' 
                   And user_id = '346' order by mdate desc
    23 Query       rollback
  ODTUG – June 2010
Binary Log
    Not enabled by default
        log-bin = /path/to/file
        expire_log_days = 5
    View with mysqlbinlog




                    http://dev.mysql.com/doc/refman/5.1/en/binary-log.html


ODTUG – June 2010
Binary Log Example
    mysqlbinlog /path/to/log-bin.000000
 # at 2461
 #100604 10:49:43 server id 1  end_log_pos 2632 Query thread_id=6 
 exec_time=0 error_code=0
 use blog/*!*/;
 SET TIMESTAMP=1275662983/*!*/;
 UPDATE `wp_postmeta` SET `meta_value` = '1275662983' WHERE 
 `meta_key` = '_edit_lock' 
 AND `post_id` = 2849
 /*!*/;

 # at 21107
 #100604 10:58:49 server id 1  end_log_pos 21469 Query thread_id=62 exec_time=0 
 error_code=0
 use monitoringmysql/*!*/;
 SET TIMESTAMP=1275663529/*!*/;
 SET @@session.time_zone='SYSTEM'/*!*/;
 INSERT INTO wp_redirection_logs 
 (url,sent_to,created,agent,redirection_id,ip,referrer,module_id,group_id) 
 VALUES ('/mysql­monitoring/dbtuna',NULL,NOW(),'Mozilla/5.0 
 (compatible; Yahoo! Slurp/3.0; http
 ://help.yahoo.com/help/us/ysearch/slurp)',NULL, '67.195.114.227', NULL, 3, NULL)
 /*!*/;
ODTUG – June 2010
Connector/J
    logSlowQueries
    slowQueryThresholdMillis
    SlowQueryThresholdNanos




    http://dev.mysql.com/doc/refman/5.1/en/connector-j-reference-configuration-properties.html




ODTUG – June 2010
Processlist
    Current connection/thread
    No filtering options
    Ideal for locking


     mysql> SHOW [FULL] PROCESSLIST
     $ mysqladmin [­v] processlist

     mysql> SELECT * FROM INFORMATION_SCHEMA.PROCESSLIST (5.1))



                    http://dev.mysql.com/doc/refman/5.1/en/show-processlist.html

ODTUG – June 2010
Processlist Example
mysql [localhost] {root} ((none)) > show processlist;
+­­­­­­­+­­­­­­+­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­
+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­
­­­­­+
| Id    | User | Host      | db   | Command | Time | State             | Info                      
                                                                           |
+­­­­­­­+­­­­­­+­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­
+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­
­­­­­+
|     7 | root | localhost | NULL | Query   |    0 | NULL              | show processlist          
                                                                           |
| 20017 | root | localhost | oltp | Query   |    0 | creating table    | create table bench1 (a 
int NOT NULL,i int,s char(10),primary key (a))                                |
| 20020 | root | localhost | oltp | Query   |    1 | copy to tmp table | ALTER TABLE bench ADD  
i919 integer,ADD  i920 integer,ADD  i921 integer,ADD  i922 integer,ADD  i923  |
+­­­­­­­+­­­­­­+­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­
+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­
­­­­­+
3 rows in set (0.00 sec)




ODTUG – June 2010
Processlist Example (2)


 | Id   | User    | Host     | db  | Command | Time | State              | Info

 | 2692 | app_usr | db:44376 | db1 | Query   |    3 | Sending data       | SELECT ...
 | 2805 | app_usr | db:44703 | db1 | Query   |    0 | statistics         | SELECT ... FOR UPDATE
 | 2829 | app_usr | db:44812 | db1 | Query   |    0 | init               | UPDATE ...
 | 2845 | app_usr | db:44866 | db1 | Sleep   |    2 |                    | NULL                  
 | 2846 | app_usr | db:44866 | db1 | Sleep   |    2 |                    | NULL  
 | 2915 | app_usr | db:56751 | db1 | Query   |    0 | Updating           | UPDATE ...
 | 2847 | app_usr | db:44868 | db1 | Query   |    0 | query end          | SELECT * FROM ...
 | 2928 | app_usr | db:56792 | db1 | Query   |    0 | logging slow query | INSERT INTO ...




ODTUG – June 2010
Engine Status
    Provides engine specific information
    Vendor implemented
    InnoDB
        Running threads
        Last deadlock
        Last foreign key error
    Other engine types include
        NDB, PBXT, TOKUDB
ODTUG – June 2010
Engine Status



           mysql> SHOW ENGINE INNODB STATUS;




                    http://dev.mysql.com/doc/refman/5.1/en/show-engine.html

ODTUG – June 2010
Engine Status Example
  ­­­­­­­­­­­­
  TRANSACTIONS
  ­­­­­­­­­­­­
  Trx id counter 0 480206585
  Purge done for trx's n:o < 0 480205682 undo n:o < 0 0
  History list length 5
  LIST OF TRANSACTIONS FOR EACH SESSION:
  ­­­TRANSACTION 0 0, not started, process no 27230, OS thread id 1182685536
  MySQL thread id 427, query id 123563  10.8.160.241 dba
  SHOW ENGINE INNODB STATUS
  ­­­TRANSACTION 0 0, not started, process no 27230, OS thread id 1169639776
  MySQL thread id 44, query id 123445  10.8.160.241 dba
  ­­­TRANSACTION 0 480206305, ACTIVE 67 sec, process no 27230, OS thread id 1192270176
  mysql tables in use 1, locked 1
  1 lock struct(s), heap size 368, 0 row lock(s), undo log entries 1
  MySQL thread id 370, query id 123171  10.120.229.37 user query end
  INSERT INTO `table` ....
  ­­­TRANSACTION 0 480206290, ACTIVE 70 sec, process no 27230, OS thread id 1178159456
  mysql tables in use 1, locked 1
  1 lock struct(s), heap size 368, 0 row lock(s), undo log entries 1
  MySQL thread id 372, query id 123150  10.120.229.37 user query end
  INSERT INTO `table` ....
  ­­­TRANSACTION 0 480206289, ACTIVE 70 sec, process no 27230, OS thread id 1178425696
  mysql tables in use 1, locked 1
  1 lock struct(s), heap size 368, 0 row lock(s), undo log entries 1
  MySQL thread id 373, query id 123149  10.120.229.37 user query end
  INSERT INTO `table` ....
  ....


ODTUG – June 2010
Engine Status Example (2)
------------------------
LATEST DETECTED DEADLOCK
------------------------
090624 14:32:18
*** (1) TRANSACTION:
TRANSACTION 0 39639074, ACTIVE 0 sec, process no 27807, OS thread id 1176562016 inserting
mysql tables in use 1, locked 1
LOCK WAIT 7 lock struct(s), heap size 1216
MySQL thread id 1225, query id 4695283 10.120.19.204 db update
INSERT INTO table VALUES(254381,638,1,57)
*** (1) WAITING FOR THIS LOCK TO BE GRANTED:
RECORD LOCKS space id 0 page no 6371457 n bits 248 index `PRIMARY` of table `db/table` trx id 0 39639074 lock_mode X insert intention waiting
Record lock, heap no 1 PHYSICAL RECORD: n_fields 1; compact format; info bits 0
 0: len 8; hex 73757072656d756d; asc supremum;;

*** (2) TRANSACTION:
TRANSACTION 0 39639079, ACTIVE 0 sec, process no 27807, OS thread id 1179224416 inserting, thread declared inside InnoDB 500
mysql tables in use 1, locked 1
7 lock struct(s), heap size 1216
MySQL thread id 1229, query id 4695295 prodgos23.eao.abn-iad.ea.com 10.120.19.204 madden_2010 update
INSERT INTO table VALUES(254382,746,1,57)
*** (2) HOLDS THE LOCK(S):
RECORD LOCKS space id 0 page no 6371457 n bits 248 index `PRIMARY` of table `madden_2010_franchise_xbl2/franchise_draft_board` trx id 0 39639079
lock_mode X
Record lock, heap no 1 PHYSICAL RECORD: n_fields 1; compact format; info bits 0
 0: len 8; hex 73757072656d756d; asc supremum;;

*** (2) WAITING FOR THIS LOCK TO BE GRANTED:
RECORD LOCKS space id 0 page no 6371457 n bits 248 index `PRIMARY` of table `db/table` trx id 0 39639079 lock_mode X insert intention waiting
Record lock, heap no 1 PHYSICAL RECORD: n_fields 1; compact format; info bits 0
 0: len 8; hex 73757072656d756d; asc supremum;;

*** WE ROLL BACK TRANSACTION (2)




ODTUG – June 2010
Status Variables
    Shows incrementing internal counters
    Volume of SQL
    Read/Write ratio




ODTUG – June 2010
Status Variables


      mysql> SHOW GLOBAL STATUS;

      $ mysqladmin extended­status

      mysql> SELECT * FROM GLOBAL_STATUS (5.1)




                    http://dev.mysql.com/doc/refman/5.1/en/show-status.html

ODTUG – June 2010
Status Variables Example

         | Com_select                        | 553971     |

         | Com_insert                        | 64068      |
         | Com_insert_select                 | 6521       |

         | Com_update                        | 190627     |
         | Com_update_multi                  | 4809       |

         | Com_delete                        | 95197      |
         | Com_delete_multi                  | 1408       |

         | Com_replace                       | 1549       |
         | Com_replace_select                | 0          |




ODTUG – June 2010
Status Variables Example (2)
         | Bytes_received                    | 635778091  |
         | Bytes_sent                        | 4207810294 |
         Throughput

         | Bytes_received                    | 635778091  |
         | Bytes_sent                        | 4207810294 |
         Load
         | Threads_connected                 | 22         |
         | Threads_connected                 | 22         |
         | Threads_running                   | 3          |
         | Threads_running                   | 3          |
         Server Running

         | Uptime                            | 5951       |




ODTUG – June 2010
Status Variables Example (3)
  ●$ mysqladmin ­u ­p ­r ­s 1 extended status | grep ­v “| 0”
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­+
  | Variable_name                     | Value      |
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­+
  | Bytes_received                    | 8888       |
  | Bytes_sent                        | 151482     |
  | Com_select                        | 114        |
  | Com_show_status                   | 1          |
  | Created_tmp_tables                | 2          |
  | Handler_read_key                  | 194        |
  | Handler_read_next                 | 273        |
  | Handler_read_rnd                  | 165        |
  | Handler_read_rnd_next             | 47416      |
  | Handler_write                     | 289        |
  | Key_read_requests                 | 1555       |
  | Questions                         | 116        |
  | Select_range                      | 23         |
  | Select_scan                       | 3          |
  | Sort_rows                         | 165        |
  | Sort_scan                         | 3          |
  | Table_locks_immediate             | 115        |
  | Threads_connected                 | ­1         |
  | Threads_running                   | ­1         |
  | Uptime                            | 1          |
  | Uptime_since_flush_status         | 1          |
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­+

ODTUG – June 2010
MySQL Proxy
    Included histogram.lua
        Gives read/write breakdown per table
        Shows top executing queries by frequency
        Shows max and avg execution time



                              http://dev.mysql.com/doc/refman/5.1/en/mysql-proxy.html

                                                    https://launchpad.net/mysql-proxy

        http://ronaldbradford.com/blog/sql-query-analysis-with-mysql-proxy-2009-09-02/




ODTUG – June 2010
MySQL Proxy Example
    mysql> select * from histogram.tables; 
    +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­+ 
    | table                        | reads | writes | 
    +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­+ 
    | schema1.dotCommLookup        |   991 |      0 | 
    | schema2xxxxxx.dotCommClient  |     6 |      0 | 
    | schema2xxxxxx.ReleaseNumbers |     3 |      6 | 
    | schema2xxxxxx.PAYCYCLE       |     1 |      0 | 
    | schema1.dotCommClient        |  1505 |      0 | 
    | schema1.Job                  |   131 |      0 | 
    | schema2xxxxxx.CondMod        |     0 |     28 | 
    | schema2xxxxxx.SPINFO         |     3 |      0 | 
    | schema1.Poll                 |  1184 |    633 | 
    | schema2xxxxxx.LaborSchedules |     0 |     96 | 
    | schema1.JobRequest           |   192 |      0 | 
    | schema1.PollTasks            |   454 |   1048 | 
    | schema1.Tasks                |  1048 |      0 | 
    | schema1.auth                 |   141 |     59 | 
    | schema2xxxxxx.dotComm        |     2 |      0 | 
    | schema2xxxxxx.MenuItem       |     0 |   2446 | 
    | schema1.Location             |    19 |    118 | 
    | schema2xxxxxx.CONCASH        |     2 |      0 | 
    | schema1.dotComm              |   156 |      0 | 
    | schema1.Client               |    47 |      0 | 
    +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­+ 
    20 rows in set (0.00 sec)
ODTUG – June 2010
MySQL Proxy Example (2)
    mysql> select * from histogram.queries; 
    *************************** 8. row *************************** 
             query: SELECT `type` , COUNT( * ) AS `count` FROM `schema1` . `table1` 
    `a` WHERE `clientID` = ? AND `bocDate` = ? AND `locationID` IN( ? ) GROUP BY ? 
    ORDER BY ? 
             count: 8 
    max_query_time: 12932 
    avg_query_time: 4154.125 
    *************************** 35. row *************************** 
             query: SELECT `empl_first_nam` , `empl_last_nam` , `empl_mid_initial` 
    FROM `schema2` . `table2` WHERE `clientID` = ? AND `empl_ssn` = ? AND 
    `locationID` = ? LIMIT ? 
             count: 84 
    max_query_time: 61974 
    avg_query_time: 2501.3095238095 
    *************************** 305. row *************************** 
             query: INSERT INTO `schema3` . `table3` SET `eventTime` = NOW( ) , 
    `event` = ? , `userID` = ? , `details` = ? 
             count: 59 
    max_query_time: 433610 
    avg_query_time: 38760.983050847 
    *************************** 302. row *************************** 
             query: SELECT * FROM `table4` WHERE `jobID` = ? AND `taskID` = ? 
             count: 1056 
    max_query_time: 17564 
    avg_query_time: 672.67708333333

ODTUG – June 2010
TCP/IP Capture
    Captures network packets




                         http://www.tcpdump.org/tcpdump_man.html

ODTUG – June 2010
TCP/IP Example
   tcpdump -i any -s 65535 -x -nn -q -tttt port 3306

  2010­05­18 19:08:09.291455 IP 999.67.245.14.3338 > 999.174.90.144.3306: tcp 0
  0x0000:  4500 0030 fdd0 4000 7106 e466 4b43 f50e  E..0..@.q..fKC..
  0x0010:  8cae 5a90 0d0a 0cea e1cd 4d71 0000 0000  ..Z.......Mq....
  0x0020:  7002 ffff 125c 0000 0204 05b4 0101 0402  p..............
  2010­05­18 19:08:09.291519 IP 999.174.90.144.3306 > 999.67.245.14.3338: tcp 0
  0x0000:  4500 0030 0000 4000 4006 1338 8cae 5a90  E..0..@.@..8..Z.
  0x0010:  4b43 f50e 0cea 0d0a 69af 73bf e1cd 4d72  KC......i.s...Mr
  0x0020:  7012 16d0 1e0c 0000 0204 05b4 0101 0402  p...............
  2010­05­18 19:08:09.316990 IP 999.67.245.14.3338 > 999.174.90.144.3306: tcp 0
  0x0000:  4500 0028 fdd1 4000 7106 e46d 4b43 f50e  E..(..@.q..mKC..
  0x0010:  8cae 5a90 0d0a 0cea e1cd 4d72 69af 73c0  ..Z.......Mri.s.
  0x0020:  5010 ffff 61a0 0000                      P...a...
  2010­05­18 19:08:09.322483 IP 999.174.90.144.3306 > 999.67.245.14.3338: tcp 67
  0x0000:  4508 006b 7eed 4000 4006 9407 8cae 5a90  E..k~.@.@.....Z.
  0x0010:  4b43 f50e 0cea 0d0a 69af 73c0 e1cd 4d72  KC......i.s...Mr
  0x0020:  5018 16d0 574b 0000 3f00 0000 0a35 2e30  P...WK..?....5.0
  0x0030:  2e35 3161 2d63 6f6d 6d75 6e69 7479 0036  .51a­community.6
  0x0040:  9800 0057 7462 6f28 732f 2e00 2ca2 0802  ...Wtbo(s/..,...
  0x0050:  0000 0000 0000 0000 0000 0000 0000 386f  ..............8o
  0x0060:  4858 615f 3838 5274 7055 00              HXa_88RtpU.

ODTUG – June 2010
DTrace/SystemTap
    Observability technologies
    Enable the behavior of running systems
    and applications to be investigated
    Zero probe effect when not enabled




                      http://www.sun.com/bigadmin/content/dtrace/index.jsp

                                          http://sourceware.org/systemtap/
ODTUG – June 2010
SystemTap Example
 # stap query_trace.sty /home/posulliv/repos/mysql/mysql-5.5.2-m2/5.5.2/libexec/mysqld
 select @@version_comment limit 1
 Total: 287us Locks: 0us Engine: 0us Network: 6us Filesort: 0us
 select USER()
 Total: 127us Locks: 0us Engine: 0us Network: 6us Filesort: 0us
 SELECT DATABASE()
 Total: 562us Locks: 0us Engine: 0us Network: 21us Filesort: 0us
 show databases
 Total: 642us Locks: 0us Engine: 5us Network: 6us Filesort: 0us
 show tables
 Total: 1148us Locks: 0us Engine: 6us Network: 6us Filesort: 0us
 show tables
 Total: 6201us Locks: 0us Engine: 19us Network: 23us Filesort: 0us
 SELECT DATABASE()
 Total: 564us Locks: 0us Engine: 0us Network: 21us Filesort: 0us
 show databases
 Total: 81us Locks: 0us Engine: 5us Network: 6us Filesort: 0us
 show tables
 Total: 293us Locks: 0us Engine: 5us Network: 6us Filesort: 0us
 select * from t1
 Total: 1202us Locks: 32us Engine: 20us Network: 23us Filesort: 0us
 select * from t1 where a = 1
 Total: 1134us Locks: 30us Engine: 56us Network: 21us Filesort: 0us
 select * from t1 order by a desc
 Total: 4727us Locks: 26us Engine: 20us Network: 22us Filesort: 3182us
 insert into t1 values (3, 'tomas')
 Total: 3406us Locks: 146us Engine: 858us Network: 30us Filesort: 0us
 select * from t1 order by a desc
 Total: 1340us Locks: 27us Engine: 20us Network: 21us Filesort: 228us
 ^C
ODTUG – June 2010
Analyzing your SQL

ODTUG – June 2010
Bulk Analysis Tools
    Your eyes
    Maatkit
        mk-query-digest




ODTUG – June 2010
Slow Query Log
    mk-query-digest --type slowlog /path/to/slow.log


    Best practice to roll/analyze daily




        http://ronaldbradford.com/blog/the-correct-approach-to-rolling-mysql-logs-2010-02-22/




ODTUG – June 2010
Slow Query Analysis Example
  ●   $ mk­query­digest ­­type slowlog /var/log/mysql/slow.log
  ●

  # Query 1: 0.00 QPS, 2.74x concurrency, ID 0x036A4959F0EBB3BD at byte ­1 _
  #              pct   total     min     max     avg     95%  stddev  median
  # Count          1     395
  # Exec time     28 478528s     11s   4733s   1211s   4168s   1431s    511s
  # Lock time     20  31777s       0   2769s     80s    685s    291s       0
  # Rows sent      0   3.86k      10      10      10      10       0      10
  # Rows exam      3 193.22M 500.73k 500.96k 500.90k 485.50k       0 485.50k
  # Users                  1  xxx
  # Hosts                  5 app5.xxxxx... (128), app1.xxxx... (85)... 3 more
  # Databases              1  xxxx
  # Time range 2009­05­18 10:23:18 to 2009­05­20 10:50:14
  # bytes          0 184.67k     476     479  478.73  463.90       0  463.90
  # Query_time distribution
  #   1us
  #  10us
  # 100us
  #   1ms
  #  10ms
  # 100ms
  #    1s
  #  10s+  ################################################################

ODTUG – June 2010
Slow Query Analysis Example

  # Tables
  #    SHOW TABLE STATUS FROM `xxxx` LIKE 'gg'G
  #    SHOW CREATE TABLE `xxxx`.`gg`G
  #    SHOW TABLE STATUS FROM `xxxx ` LIKE 'gr'G
  #    SHOW CREATE TABLE `xxxx `.`gr`G
  #    SHOW TABLE STATUS FROM `xxxx ` LIKE 'tt'G
  #    SHOW CREATE TABLE `xxxx `.`tt`G
  # EXPLAIN
  SELECT tt.*, 
         (SELECT COUNT(*) FROM gg WHERE gg.tt_user_id = tt.id) AS g_c, 
         (SELECT COUNT(*) FROM  WHERE gr.tt_user_id = tt.id ) AS r_c
          FROM tt AS tt
          WHERE 1 AND tt.user_type = 'CUSTOMER'
          GROUP BY tt.id HAVING g_c > 1 OR r_c > 1
          ORDER BY tt.id desc, g_c DESC , r_c DESC
          LIMIT 10 OFFSET 0G




ODTUG – June 2010
General Query Log
  ●   $ mk­query­digest ­­type genlog ­­report­format profile /opt/mysql_sandboxes/latest/data/msandbox.log

  # 2.4s user time, 40ms system time, 37.40M rss, 78.70M vsz
  # Current date: Fri Jun 11 14:17:22 2010
  # Files: /opt/mysql_sandboxes/latest/data/msandbox.log
  # Overall: 17.11k total, 2.64k unique, 0.71 QPS, 0x concurrency __________
  #                    total     min     max     avg     95%  stddev  median
  # Exec time              0       0       0       0       0       0       0
  # Time range        2010­06­11 07:35:44 to 2010­06­11 14:17:01
  # bytes            793.75k      11  26.50k   47.52   54.21  295.84   38.53

  # Profile
  # Rank Query ID           Response time    Calls R/Call   Item
  # ==== ================== ================ ===== ======== ================
  #    1 0xC9EEB2D51C356A33     0.0000  0.0%  3622   0.0000 SET
  #    2 0x6C099B0B73EA7633     0.0000  0.0%   608   0.0000 USE
  #    3 0xAC5C18B304F9DE87     0.0000  0.0%   595   0.0000 SELECT
  #    4 0x30FE5C2032672827     0.0000  0.0%   595   0.0000 SHOW TABLE STATUS
  #    5 0x1D7CBA0BE5BAA758     0.0000  0.0%   595   0.0000 SHOW TRIGGERS
  #    6 0xAEA9A980826923AF     0.0000  0.0%   595   0.0000 SET
  #    7 0x10AB55EA465447D0     0.0000  0.0%   565   0.0000 ADMIN FIELD
  #    8 0x5D51E5F01B88B79E     0.0000  0.0%   522   0.0000 ADMIN CONNECT
  #    9 0xAA353644DE4C4CB4     0.0000  0.0%   438   0.0000 ADMIN QUIT
  #   10 0xE3A3649C5FAC418D     0.0000  0.0%   410   0.0000 SELECT
  #   11 0x28FC5B5D583E2DA6     0.0000  0.0%   402   0.0000 SHOW STATUS
  #   12 0x3AEAAD0E15D725B5     0.0000  0.0%   107   0.0000 SET
  #   13 0x3607184B9D9C3A96     0.0000  0.0%   107   0.0000 SELECT
  #   14 0x44001A2E53C1AB70     0.0000  0.0%   107   0.0000 SET
  #   15 0xA2750AF24EA2AEE6     0.0000  0.0%   107   0.0000 SHOW COLLATION
  #   16 0x38B3D80280BBFA2A     0.0000  0.0%   107   0.0000 SET
  #   17 0xC69B6ED2C47380A4     0.0000  0.0%   107   0.0000 SHOW VARIABLES
  #   18 0xE4CF7146873CCC28     0.0000  0.0%   107   0.0000 SET
  #   19 0x5CBA2034458B5BC9     0.0000  0.0%    95   0.0000 SHOW DATABASES
  #   20 0x2DE40AAFA6F4B715     0.0000  0.0%    46   0.0000 INSERT SELECT TEMP.task


ODTUG – June 2010
General Query Log Analysis
$ mk­query­digest ­­type genlog /opt/mysql_sandboxes/latest/data/msandbox.log

# Query 20: 0 QPS, 0x concurrency, ID 0x2DE40AAFA6F4B715 at byte 56687 ___
# This item is included in the report because it matches ­­limit.
#              pct   total     min     max     avg     95%  stddev  median
# Count          0      46
# Exec time      0       0       0       0       0       0       0       0
# Databases              1 anonymous
# Time range 2010­06­11 09:33:04 to 2010­06­11 09:33:04
# bytes          3  25.72k     404   1.12k  572.57  833.10  157.30  511.45
# Query_time distribution
#   1us
#  10us
# 100us
#   1ms
#  10ms
# 100ms
#    1s
#  10s+
# Tables
#    SHOW TABLE STATUS FROM `TEMP` LIKE 'task'G
#    SHOW CREATE TABLE `TEMP`.`task`G
insert into TEMP.task(    task_type,     state,     user_table_schema,     user_table_table, user
_table_depth,     artifact_schema,     artifact_table,     command ) 
values(    'GenerateFinalBySort',    'waiting',    'drupal',    'node_revisions',    '0',    
'TEMP',    'node_revisions$final',    'create table `TEMP`.`node_revisions$final`(`nid` int, 
`vid` int, `uid` int, `title` varchar(255), `body` longtext, `teaser` longtext, `log` longtext, 
`timestamp` int, `format` int) select `nid`, `vid`, `uid`, `title`, `body`, `teaser`, `log`, 
`timestamp`, `format` from `drupal`.`node_revisions` order by `vid`')G


ODTUG – June 2010
Binary Log



    mysql> SHOW GLOBAL VARIABLES LIKE 'log_bin';
    mysql> SHOW MASTER STATUS;
    mysql> SHOW MASTER LOGS;




ODTUG – June 2010
Aggregating Binlog Output
    mysqlbinlog /path/to/mysql­bin.000999 |  
      grep ­i ­e "^update" ­e "^insert" ­e "^delete" ­e "^replace" ­e "^alter"  | 
      cut ­c1­100 | tr '[A­Z]' '[a­z]' |  
      sed ­e "s/t/ /g;s/`//g;s/(.*$//;s/ set .*$//;s/ as .*$//" | 
      sed ­e "s/ where .*$//" |  
      sort | uniq ­c | sort ­nr  



                      33389 update e_acc
                      17680 insert into r_b
                      17680 insert into e_rec
                      14332 insert into rcv_c
                      13543 update e_rec
                      10805 update loc
                       3339 insert into r_att
                       2781 insert into o_att


ODTUG – June 2010
Maatkit
$ mysqlbinlog /opt/mysql_sandboxes/latest/data/msandbox.000001 
> | ./mk­query­digest ­­type binlog ­­report­format profile
# Profile
# Rank Query ID           Response time    Calls R/Call   Item
# ==== ================== ================ ===== ======== ================
#    1 0xBE1EAF34D33DE48B     0.0000  0.0%     3   0.0000 CREATE TABLE coitest_?k.customers 
`bulkload`.`customers$final`
#    2 0x0A44B866EBFF94FC     0.0000  0.0%     3   0.0000 DROP
#    3 0x7B747B0DEABCA018     0.0000  0.0%     3   0.0000 CREATE TABLE coitest_?k.orders 
`bulkload`.`orders$final`
#    4 0xB4E2D6D6475B00FF     0.0000  0.0%     3   0.0000 DROP
#    5 0xF5DAC1762A3DE61F     0.0000  0.0%     3   0.0000 DROP
#    6 0x42EF521F930E2DB7     0.0000  0.0%     3   0.0000 CREATE TABLE coitest_?k.orders 
`bulkload`.`orders$parent`
#    7 0xE4D87F83229BB741     0.0000  0.0%    18   0.0000 UPDATE bulkload.task
#    8 0x5A7960FD3F39E5F8     0.0000  0.0%     3   0.0000 CREATE TABLE bulkload.progress
#    9 0x813031B8BBC3B329     0.0000  0.0% 60141   0.0000 COMMIT
#   10 0x854DE5DBCC259DFB     0.0000  0.0% 30000   0.0000 INSERT bulkload.items$parent
#   11 0x3FBD919BC7E69704     0.0000  0.0%    87   0.0000 INSERT bulkload.progress
#   12 0xE50052BA71B4D17C     0.0000  0.0%     3   0.0000 DROP TABLE if
#   13 0xD645DADD65C8DD01     0.0000  0.0%    18   0.0000 INSERT SELECT bulkload.task
#   14 0x5B6EB50967F9BAB8     0.0000  0.0%    18   0.0000 UPDATE bulkload.task
#   15 0x277902B2380B46B4     0.0000  0.0%     1   0.0000 DROP
#   16 0x15174D089E600489     0.0000  0.0%     3   0.0000 CREATE TABLE bulkload.task
#   17 0x6F1EE7DAFC74D9AF     0.0000  0.0%     3   0.0000 CREATE TABLE coitest_?k.items 
`bulkload`.`items$child`
#   18 0x85FFF5AA78E5FF6A     0.0000  0.0% 60141   0.0000 BEGIN
#   19 0x9EE6FD43C5546BA1     0.0000  0.0%     3   0.0000 CREATE TABLE bulkload.items$parent 
`bulkload`.`items$parent`
#   20 0x51DCCB95FA917A6F     0.0000  0.0%     3   0.0000 DROP TABLE if

ODTUG – June 2010
Status variables Analysis
    Gathering global status per time interval
    Reporting options
        statpack




       http://ronaldbradford.com/blog/using-statpack-with-show-status-2009-06-18/



ODTUG – June 2010
statpack Example
  ====================================================================================================
                Uptime: 17 days 17 hours 22 mins Snapshot Period 1: 59 minute interval
  ====================================================================================================
                      Variable     Delta/Percentage          Per Second               Total
  =================================================================================...

  ====================================================================================================
                                           Statement Activity
  ====================================================================================================

                       SELECT:       13,503,876                 3,798.56            4,298,170,239 (94.25%)
                       INSERT:           91,101                    25.63               25,327,062 (0.56%)
                       UPDATE:          782,004                   219.97              220,640,296 (4.84%)
                       DELETE:            9,674                     2.72                2,485,643 (0.05%)
                       COMMIT:           46,422                    13.06               13,700,478 (0.30%)
                     ROLLBACK:                0                     0.00                       13 (0.00%)

  ...

  ====================================================================================================
                                            Temporary Space
  ====================================================================================================

    tmp_table_size Efficiency:           2.10%
           Memory Temp Tables:           26,467                     7.45                9,335,030
             Disk Temp Tables:           25,951                     7.30                9,138,705
                   Temp Files:                2                     0.00                      601




ODTUG – June 2010
TCP/IP Dump Analysis
    Non-intrusive
    Close to full sample
    Near realtime


      $ tcpdump ­i eth0 port 3306 ­s 65535 ­x 
      > ­n ­q ­tttt ­c 1000 > tcpdump.out
      $ cat tcpdump.out | mk­query­digest ­­type tcpdump




ODTUG – June 2010
TCP/IP Dump Summary
  # 4.1s user time, 85.9ms system time, 17.85M rss, 18.46M vsz
  # Overall: 1.99k total, 86 unique, 321.13 QPS, 0.21x concurrency _________
  #                    total     min     max     avg     95%  stddev  median
  # Exec time             1s    39us    70ms   649us   839us     4ms   152us
  # Time range        2010­03­30 17:52:42.569092 to 2010­03­30 17:52:48.772254
  # bytes            186.80k      13   1.61k   96.03  166.51  196.84   40.45
  # Rows affe             59       0       2    0.03       0    0.18       0
  # Warning c              5       0       2    0.00       0    0.07       0
  #   4% (98)   No_index_used


  # Profile
  # Rank Query ID           Response time    Calls R/Call   Item
  # ==== ================== ================ ===== ======== ================
  #    3 0xC9ECBBF2C88C2336     0.0875  7.5%   568   0.0002 SELECT r_c
  #    4 0x448E4AEB7E02AF72     0.0785  6.7%   566   0.0001 SELECT r_t
  #    5 0xCF3A86CFCC509800     0.0596  5.1%     5   0.0119 SELECT h_c_i
  #    6 0x8D86ED007917BCE6     0.0480  4.1%   131   0.0004 SELECT loc
  #    7 0xDB8614598CD1ED36     0.0416  3.6%     1   0.0416 SELECT lml r
  #    8 0x9BA140CF9CE950C8     0.0316  2.7%     1   0.0316 SELECT bsc
  #    9 0x633F85619F198C33     0.0219  1.9%    23   0.0010 SELECT hlm mt 
  #   10 0xADCCD37E265C8300     0.0197  1.7%    79   0.0002 SELECT h_l_l


ODTUG – June 2010
TCP/IP Dump Query Review
  # Query 6: 23.02 QPS, 0.01x concurrency, ID 0x8D86ED007917BCE6 at byte ­2
  # This item is included in the report because it matches ­­limit.
  #              pct   total     min     max     avg     95%  stddev  median
  # Count          6     131
  # Exec time      3    48ms   160us     5ms   366us   690us   477us   247us
  # Hosts                  5 10.0.0.77 (86), 10.0.0.36 (21), 10.0.0.79 (20)... 2 more
  # Time range 2010­03­30 17:52:43.034021 to 2010­03­30 17:52:48.724815
  # bytes          8  15.93k     123     125  124.54  124.25       1  124.25
  # Errors                 1    none
  # Rows affe      0       0       0       0       0       0       0       0
  # Warning c      0       0       0       0       0       0       0       0
  # Query_time distribution
  #   1us
  #  10us
  # 100us  ################################################################
  #   1ms  ##
  #  10ms
  # 100ms
  #    1s
  #  10s+
  # Tables
  #    SHOW TABLE STATUS LIKE 'loc'G
  #    SHOW CREATE TABLE `loc`G
  # EXPLAIN
  SELECT l.* FROM loc p, loc l WHERE p.id=2090 AND l.lft BETWEEN p.lft AND p.rgt AND 
  l.depth=p.depth+1 ORDER BY l.lftG


ODTUG – June 2010
mycheckpoint
    SQL orientated monitoring utility for
    MySQL
    Measures various metrics
    Stores measurements in database
    Metrics can be accessed through SQL
    Can generate HTML reports and Google
    charts easily
                    http://code.openark.org/forge/mycheckpoint/documentation



ODTUG – June 2010
SQL Analysis Tools
    EXPLAIN
    mk-visual-explain
    SHOW CREATE TABLE
    SHOW INDEXES
    SHOW TABLE STATUS
    I_S Table/Index size
    SHOW SESSION STATUS
    SHOW PROFILE
ODTUG – June 2010
Explain
    Returns information on query plan
    Query not actually executed (unless
    query contains sub-query)
    1 row in output per table
    EXPLAIN EXTENDED shows query actually
    executed

                    http://dev.mysql.com/doc/refman/5.1/en/explain.html



ODTUG – June 2010
Explain Examples
mysql> explain select 1;
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­+
| id | select_type | table | type | possible_keys | key  | key_len | ref  | rows | Extra          |
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | NULL  | NULL | NULL          | NULL | NULL    | NULL | NULL | No tables used | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­+
1 row in set (0.00 sec)

mysql> explain select 1G
*************************** 1. row ***************************
           id: 1
  select_type: SIMPLE
        table: NULL
         type: NULL
possible_keys: NULL
          key: NULL
      key_len: NULL
          ref: NULL
         rows: NULL
        Extra: No tables used
1 row in set (0.00 sec)

mysql>




ODTUG – June 2010
Explain Examples
    mysql> explain
        ­> select 
        ­>   avg(length(w.variables)) / 1048576
        ­> from 
        ­>   watchdog w
        ­> G
    *************************** 1. row ***************************
               id: 1
      select_type: SIMPLE
            table: w
             type: ALL
    possible_keys: NULL
              key: NULL
          key_len: NULL
              ref: NULL
             rows: 69248
            Extra: 
    1 row in set (0.00 sec)

    mysql>




ODTUG – June 2010
mk-visual-explain
    Reverse engineers explain output from
    MySQL
    Formats MySQL explain output as a left-
    deep tree
    Can take piped input or can process
    explain plans from input file

                       http://www.maatkit.org/doc/mk-visual-explain.html




ODTUG – June 2010
mk-visual-explain Examples
echo "explain SELECT DISTINCT b.* FROM blocks b LEFT JOIN blocks_roles r ON b.module = r.module AND 
b.delta = r.delta WHERE b.theme = 'garland' AND b.status = 1 AND (r.rid IN (2) OR r.rid IS NULL) 
ORDER BY b.region, b.weight, b.module" | 
mysql ­u root drupal | 
mk­visual­explain


  Filesort
  +­ TEMPORARY
     table          temporary(b,r)
     +­ JOIN
        +­ Distinct/Not­Exists
        |  +­ Filter with WHERE
        |     +­ Index lookup
        |        key            r­>PRIMARY
        |        possible_keys  PRIMARY
        |        key_len        292
        |        ref            drupal.b.module,drupal.b.delta
        |        rows           3
        +­ Filter with WHERE
           +­ Bookmark lookup
              +­ Table
              |  table          b
              |  possible_keys  tmd,list
              +­ Index lookup
                 key            b­>tmd
                 possible_keys  tmd,list
                 key_len        194
                 ref            con

ODTUG – June 2010
Show Create Table
    Shows full definition
    Includes all keys
    Shows storage engine



            SHOW CREATE TABLE [schema.]tablename



                http://dev.mysql.com/doc/refman/5.1/en/show-create-table.html

ODTUG – June 2010
Show Create Table Example

   mysql> SHOW CREATE TABLE wp_postmetaG
   *************************** 1. row ***************************
          Table: wp_postmeta
   Create Table: CREATE TABLE `wp_postmeta` (
     `meta_id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
     `post_id` bigint(20) unsigned NOT NULL DEFAULT '0',
     `meta_key` varchar(255) DEFAULT NULL,
     `meta_value` longtext,
     PRIMARY KEY (`meta_id`),
     KEY `post_id` (`post_id`),
     KEY `meta_key` (`meta_key`)
   ) ENGINE=MyISAM AUTO_INCREMENT=1745 DEFAULT CHARSET=utf8
   1 row in set (0.00 sec)




ODTUG – June 2010
Show Indexes
    Provides cardinality



           SHOW INDEX[ES] [FROM|IN] [schema.]tablename




                    http://dev.mysql.com/doc/refman/5.1/en/show-index.html

ODTUG – June 2010
Show Index Example


mysql> SHOW INDEXES FROM wp_postmeta;
+­­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­+­­­­­­+­­­­­­­­­­­­+
| Table       | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | 
+­­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­+­­­­­­+­­­­­­­­­­­­+
| wp_postmeta |          0 | PRIMARY  |            1 | meta_id     | A         |        1351 |     NULL | NULL   |      | BTREE      |    
| wp_postmeta |          1 | post_id  |            1 | post_id     | A         |         450 |     NULL | NULL   |      | BTREE      |    
| wp_postmeta |          1 | meta_key |            1 | meta_key    | A         |           7 |     NULL | NULL   | YES  | BTREE      |    
+­­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­+­­­­­­+­­­­­­­­­­­­+




   ODTUG – June 2010
Table Status



        SHOW TABLE STATUS [IN schema] LIKE 'tablename'




                http://dev.mysql.com/doc/refman/5.1/en/show-table-status.html

ODTUG – June 2010
Table Status Example
  mysql> SHOW TABLE STATUS LIKE 'wp_postmeta'G
  *************************** 1. row ***************************
             Name: wp_postmeta
           Engine: MyISAM
          Version: 10
       Row_format: Dynamic
             Rows: 1351
   Avg_row_length: 46
      Data_length: 62960
  Max_data_length: 281474976710655
     Index_length: 58368
        Data_free: 76
   Auto_increment: 1745
      Create_time: 2009­09­08 09:57:51
      Update_time: 2010­06­04 15:06:47
       Check_time: 2010­06­01 11:12:54
        Collation: utf8_general_ci
         Checksum: NULL
   Create_options: 
          Comment: 
  1 row in set (0.00 sec)
ODTUG – June 2010
Information Schema
    INFORMATION_SCHEMA
        TABLES
        COLUMNS
    Meta data
        Simple view of DBA_TABLES/COLUMNS




              http://dev.mysql.com/doc/refman/5.1/en/information-schema.html

ODTUG – June 2010
Information Schema Example
      SELECT   table_schema,
               table_name,
               engine,
               row_format, 
               table_rows, 
               avg_row_length,
               (data_length+index_length)/1024/1024 as total_mb, 
               (data_length)/1024/1024 as data_mb, 
               (index_length)/1024/1024 as index_mb,
               CURDATE() AS today
      FROM     information_schema.tables 
      WHERE    table_schema=DATABASE()
      ORDER BY 7 DESC;




                         http://ronaldbradford.com/mysql-dba/#perschema
ODTUG – June 2010
Information Schema Example


  +­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+
  | table_name       | engine | row_format | table_rows | avg_row_length | total_mb     | data_mb      | index_mb     |
  +­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+
  | xxxxxxx          | InnoDB | Compact    |    1778523 |            314 | 658.39062500 | 533.84375000 | 124.54687500 |
  | xxxxxxxxx        | InnoDB | Compact    |     553266 |            846 | 472.25000000 | 446.75000000 |  25.50000000 |
  | xxxxxxx          | InnoDB | Compact    |     435892 |            884 | 392.25000000 | 367.81250000 |  24.43750000 |
  | xxxxxxxxxxxxxx   | InnoDB | Compact    |    1106547 |             65 | 133.26562500 |  68.59375000 |  64.67187500 |
  | xxxxxxxxxxxxxxxx | InnoDB | Compact    |      58281 |            531 |  30.34375000 |  29.51562500 |   0.82812500 |
  | xxxxxxxxxx       | InnoDB | Compact    |      68721 |            298 |  28.12500000 |  19.54687500 |   8.57812500 |
  ...




ODTUG – June 2010
Show Session Status
    MySQL Internal counters




                    http://dev.mysql.com/doc/refman/5.1/en/show-status.html

ODTUG – June 2010
Show Session Status Example
                    SHOW SESSION STATUS LIKE 'Created%';
                    +­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+
                    | Variable_name           | Value |
                    +­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+
                    | Created_tmp_disk_tables | 1     | 
                    | Created_tmp_files       | 5     | 
                    | Created_tmp_tables      | 3     | 
                    +­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+




                       SELECT ...;

                    SHOW SESSION STATUS LIKE 'Created%';
                    +­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+
                    | Variable_name           | Value |
                    +­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+
                    | Created_tmp_disk_tables | 2     | 
                    | Created_tmp_files       | 5     | 
                    | Created_tmp_tables      | 3     | 
                    +­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­+




ODTUG – June 2010
Show Profile

    Provides internal message calls
    Descriptions not always accurate


                    SET PROFILING = 1;
                    SHOW PROFILES;
                    SHOW PROFILE [FOR QUERY n];




                     http://dev.mysql.com/doc/refman/5.1/en/show-profiles.html
ODTUG – June 2010
Show Profile Example

     mysql> SHOW PROFILESG
     *************************** 1. row ***************************
     Query_ID: 1
     Duration: 0.00081600
        Query: SELECT t.*, tt.*, tr.object_id FROM wp_terms 
                   AS t INNER JOIN wp_term_taxonomy AS tt ON 
                   tt.term_id = t.term_id INNER JOIN 
                   wp_term_relationships AS tr ON  
                   tr.term_taxonomy_id = tt.term_taxonomy_id 
                   WHERE tt.taxonomy IN
                   ('category', 'post_tag') AND 
                   tr.object_id IN (2487) 
                   ORDER BY t.name ASC




ODTUG – June 2010
Show Profile Example (2)
  mysql> SHOW PROFILE SOURCE FOR QUERY 1;
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­­­+
  | Status                         | Duration | Source_function  | Source_file   | Source_line |
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­­­+
  | starting                       | 0.000049 | NULL             | NULL          |        NULL |
  | checking query cache for query | 0.000074 | unknown function | sql_cache.cc  |        1446 |
  | Opening tables                 | 0.000013 | unknown function | sql_base.cc   |        4495 |
  | System lock                    | 0.000005 | unknown function | lock.cc       |         258 |
  | Table lock                     | 0.000032 | unknown function | lock.cc       |         269 |
  | init                           | 0.000038 | unknown function | sql_select.cc |        2484 |
  | optimizing                     | 0.000014 | unknown function | sql_select.cc |         820 |
  | statistics                     | 0.000135 | unknown function | sql_select.cc |        1011 |
  | preparing                      | 0.000017 | unknown function | sql_select.cc |        1033 |
  | Creating tmp table             | 0.000155 | unknown function | sql_select.cc |        1524 |
  | executing                      | 0.000002 | unknown function | sql_select.cc |        1755 |
  | Copying to tmp table           | 0.000142 | unknown function | sql_select.cc |        1902 |
  | Sorting result                 | 0.000026 | unknown function | sql_select.cc |        2176 |
  | Sending data                   | 0.000051 | unknown function | sql_select.cc |        2309 |
  | end                            | 0.000002 | unknown function | sql_select.cc |        2530 |
  | removing tmp table             | 0.000063 | unknown function | sql_select.cc |       10776 |
  | end                            | 0.000003 | unknown function | sql_select.cc |       10801 |
  | query end                      | 0.000002 | unknown function | sql_parse.cc  |        4978 |
  | freeing items                  | 0.000017 | unknown function | sql_parse.cc  |        6004 |
  | storing result in query cache  | 0.000005 | unknown function | sql_cache.cc  |         983 |
  | logging slow query             | 0.000001 | unknown function | sql_parse.cc  |        1679 |
  | cleaning up                    | 0.000002 | unknown function | sql_parse.cc  |        1647 |
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­­­+
  22 rows in set (0.00 sec)


ODTUG – June 2010
Show Profile Example (3)

  mysql> SHOW PROFILES;
  +­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­
  |        1 | 0.00084800 | SELECT t.*, tt.*, tr.object_id FROM wp_terms AS t ...
  |        2 | 0.00006000 | SELECT t.*, tt.*, tr.object_id FROM wp_terms AS t ....
  +­­­­­­­­­­+­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­
  2 rows in set (0.00 sec)

  mysql> SHOW PROFILE SOURCE FOR QUERY 2;
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­+
  | starting                       | 0.000034 | NULL             | NULL         |        NULL |
  | checking query cache for query | 0.000008 | unknown function | sql_cache.cc |        1446 |
  | checking privileges on cached  | 0.000004 | unknown function | sql_cache.cc |        1534 |
  | sending cached result to clien | 0.000010 | unknown function | sql_cache.cc |        1629 |
  | logging slow query             | 0.000002 | unknown function | sql_parse.cc |        1679 |
  | cleaning up                    | 0.000002 | unknown function | sql_parse.cc |        1647 |
  +­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­+­­­­­­­­­­­­­+




ODTUG – June 2010
Optimizing your
             SQL

ODTUG – June 2010
About the MySQL Optimizer
    Cost based optimizer
    No way to pin QEP
    One index per table rule (with exceptions)
    The lack of good hints
    No statistics granularity
    No parallelism
    http://forge.mysql.com/wiki/How_does_the_MySQL_Optimizer_work



ODTUG – June 2010
SQL Optimization Goals
    Identify the best indexes
    Reduce unnecessary data access
    Minimize kernel internals




ODTUG – June 2010
Explain Signs
    No index used
    Large rows
    Excessive possible indexes
    SQL for composite/covering indexes
    Using Temporary
    Using filesort
    Derived tables

ODTUG – June 2010
MySQL Index Types
    Column indexes
    Composite indexes
    Covering indexes
    Partial indexes
    Spatial indexes
    Fulltext indexes
    Clustered indexes
    Hash indexes
    http://ronaldbradford.com/blog/understanding-different-mysql-index-implementations-2009-07-22/


ODTUG – June 2010
Column Index – Sub-optimal Design
  CREATE TABLE `content` (
    `ContentID` int(11) NOT NULL auto_increment,
  ....
    `Promo` tinyint(1) NOT NULL,
    `Theme` float NOT NULL,
    `ForDelete` tinyint(1) NOT NULL,
    PRIMARY KEY  (`ContentID`),
    KEY `CategoryID` (`CategoryID`),
    KEY `Verified` (`Verified`),
    KEY `FileName` (`FileName`(10)),
    KEY `FileDuration` (`FileDuration`),
    KEY `Votes` (`Votes`),
    KEY `FileDir` (`FileDir`),
    KEY `ForDelete` (`ForDelete`),
    KEY `UserID` (`UserID`),
    KEY `Type` (`Type`),
    KEY `CategoryType` (`CategoryType`),
    KEY `DateAdded` (`DateAdded`)
  ) 
ODTUG – June 2010
Composite Indexes Example

         CREATE TABLE relationship (
           relation_id bigint NOT NULL auto_increment,
           type_id bigint default NULL,
           user_1 bigint NOT NULL,
           user_2 bigint NOT NULL,
         ...
           PRIMARY KEY  (relation_id),
           KEY user_1 (user_1),
           KEY user_2 (user_2),
         );




ODTUG – June 2010
Composite Indexes

explain SELECT user_2 FROM relationship WHERE user_1 = '1580980221' AND user_2 IN (508534334,521894993);
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­+
| id | select_type | table         | type  | possible_keys | key    | key_len | ref  | rows | Extra       |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­+
|  1 | SIMPLE      | relationship  | range | user_1,user_2 | user_2 | 8       | NULL |    2 | Using where | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­+


ALTER TABLE relationship DROP INDEX user_2, ADD INDEX user_2 (user_2, user_1);

+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table         | type  | possible_keys | key    | key_len | ref  | rows | Extra                   |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | relationship  | range | user_1,user_2 | user_2 | 16      | NULL |    2 | Using where;Using Index | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+




ODTUG – June 2010
Covering Indexes Example
      CREATE TABLE logging (
        source_addr int(10) unsigned NOT NULL,
        source_port int(9) unsigned NOT NULL,
        destn_addr int(10) unsigned NOT NULL,
        destn_port int(9) unsigned NOT NULL,
        protocol int(9) unsigned NOT NULL,
        log_time int(11) unsigned NOT NULL,
        size int(11) unsigned NOT NULL,
        KEY log_time (log_time),
        KEY size (size),
        KEY source_port (src_port),
        KEY destn_port (destn_port),
        KEY source_addr (source_addr),
        KEY destn_addr (dstn_addr)
      ) ENGINE=MyISAM;
ODTUG – June 2010
Covering Indexes
SELECT source_port, SUM(size) FROM logging WHERE log_time BETWEEN 1 AND 2 
GROUP BY source_port ORDER BY SUM(size) DESC LIMIT 0,20
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table   | type  | possible_keys | key  | key_len | ref  | rows  | Extra                                        |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | logging | range | log_time      | log_t| 4       | NULL | 69997 | Using where; Using temporary; Using filesort | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+




By changing the index we achieve an index only scan.


ALTER TABLE logging
DROP INDEX log_time, DROP INDEX source_port,
ADD INDEX (log_time, source_port, size );
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table   | type  | possible_keys | key  | key_len | ref  | rows  | Extra                                                     |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | logging | range | log_time      | log_t| 4       | NULL | 69977 | Using where; Using index; Using temporary; Using filesort | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+




ODTUG – June 2010
Partial Indexes
  CREATE TABLE parts(
   ...
    brand_id INT UNSIGNED NOT NULL,
    part_number VARCHAR(30) NOT NULL,
    manufacturer_name VARCHAR(100) NOT NULL,
  ...
    INDEX (brand_id, part_number,manufacturer_name)
  )

  ALTER TABLE parts DROP INDEX brand_id,
  ADD KEY (brand_id,
           interchange_part_number,
           manufacturer_name(8));

  Reduced Index size by 30%.

ODTUG – June 2010
QEP – Using Filesort
EXPLAIN SELECT itemid FROM items WHERE productid=999 GROUP BY itemid;
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table | type | possible_keys | key       | key_len | ref   | rows | Extra                       
|
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | items | ref  | productid     | productid | 4       | const |    1 | Using where; Using filesort
                                                                                                      Using filesort 
| 
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
1 row in set (0.00 sec)


EXPLAIN SELECT DISTINCT
               DISTINCT itemid FROM items WHERE productid=999
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­+
| id | select_type | table | type | possible_keys | key       | key_len | ref   | rows | Extra |
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­+
|  1 | SIMPLE      | items | ref  | productid     | productid | 4       | const |    1 |       | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­+




ODTUG – June 2010
QEP – Using Filesort

mysql> show profile source for query 1;
+­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­­­+
| Status             | Duration | Source_function       | Source_file   | Source_line |
+­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­­­+
| (initialization)   | 0.000003 | open_tables           | sql_base.cc   |        ...
| preparing          | 0.000021 | exec                  | sql_select.cc |        1594 | 
| executing          | 0.000005 | exec                  | sql_select.cc |        1990 | 
| Sorting result     | 0.000121 | exec                  | sql_select.cc |        2114 | 
| Sending data       | 0.000033 | mysql_select          | sql_select.cc |        2318 | 
| end                | 0.000007 | mysql_execute_command | sql_parse.cc  |        5141 | 
| query end          | 0.000005 | mysql_parse           | sql_parse.cc  |        6142 | 
...




ODTUG – June 2010
MySQL Index Sizes
    NULL columns
    Bigint vs int
    InnoDB secondary index PK value




ODTUG – June 2010
NULL Index Columns

CREATE TABLE child(
  child_id INT UNSIGNED NOT NULL,
  parent_id INT UNSIGNED,
PRIMARY KEY(child_id),
INDEX(parent_id));


mysql> explain select * from child where parent_id=42;
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­+
| id | select_type | table | type | possible_keys | key       | key_len | ref   | rows | Extra       |
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­+
|  1 | SIMPLE      | child | ref  | parent_id     | parent_id | 5       | const |    1 | Using where |
+­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­+




ODTUG – June 2010
NULL Index Columns (2)

  mysql> SELECT parent_id FROM CHILD PROCEDURE ANALYSE(5,2000)G
  *************************** 1. row ***************************
               Field_name: odtug.CHILD.parent_id
                Min_value: 1
                Max_value: 13
               Min_length: 1
               Max_length: 2
         Empties_or_zeros: 0
                    Nulls: 0
  Avg_value_or_avg_length: 7.0000
                      Std: 3.7417
        Optimal_fieldtype: TINYINT(2) UNSIGNED NOT NULL
  1 row in set (0.00 sec)




ODTUG – June 2010
NULL Index Columns (3)



    ALTER TABLE child MODIFY parent_id INT UNSIGNED NOT NULL;
    +­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­+
    | id | select_type | table | type | possible_keys | key       | key_len | ref   | rows | Extra |
    +­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­+
    |  1 | SIMPLE      | child | ref  | parent_id     | parent_id | 4       | const |    1 |       |
    +­­­­+­­­­­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­+­­­­­­+­­­­­­­+




ODTUG – June 2010
BIGINT vs INT
explain SELECT user_2 FROM relationship 
WHERE user_1 = '1580980221' AND user_2 IN (508534334,521894993); 

+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table         | type  | possible_keys | key    | key_len | ref  | rows | Extra                   |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | relationship  | range | user_1,user_2 | user_2 | 16      | NULL |    2 | Using where;Using Index | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+



ALTER TABLE relationship MODIFY user_1 INT NOT NULL, MODIFY user_2 INT NOT NULL);


explain SELECT user_2 FROM relationship 
WHERE user_1 = '1580980221' AND user_2 IN (508534334,521894993); 

+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table         | type  | possible_keys | key    | key_len | ref  | rows | Extra                   |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | relationship  | range | user_1,user_2 | user_2 | 8       | NULL |    2 | Using where;Using Index | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­+




ODTUG – June 2010
MySQL Index Sizes
    NULL columns
    Bigint vs int
    InnoDB secondary index PK value




ODTUG – June 2010
When Indexes Don't Help
  CREATE TABLE `items` (
    `itemid` int(11) NOT NULL auto_increment,
    `productid` int(11) NOT NULL default '0',
  ...
    `itemlive` enum('true','false') NOT NULL 
  default 'true',
  ...
    PRIMARY KEY  (`itemid`),
    KEY `productid` (`productid`),
    KEY `productid` (`productid`)
    KEY `packaging_cost` (`packaging_cost`)
  )




ODTUG – June 2010
When Indexes Don't Help

EXPLAIN
SELECT DISTINCT(categories.categoryid) 
FROM categories, category_product, items
WHERE categories.categoryname!='' 
AND categories.categoryid=category_product.categoryid
AND category_product.productid=items.productid 
AND category_product.productid=items.productid
AND items.itemlive='true'; 

+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table            | type   | possible_keys        | key       | key_len | ref                                | rows | Extra                        |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
                                                                        NULL      | NULL    | NULL                               | 2906 | Using where; Using temporary | 
|  1 | SIMPLE      | items            | ALL    | productid            | NULL
|  1 | SIMPLE      | category_product | ref    | categoryid,productid | productid | 4       | baris5.items.productid             |    1 |                              | 
|  1 | SIMPLE      | categories       | eq_ref | PRIMARY              | PRIMARY   | 4       | baris5.category_product.categoryid |    1 | Using where                  | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
3 rows in set (0.00 sec)




ODTUG – June 2010
When Indexes Don't Help
     Adding an index can reduce this full table scan



mysql> alter table items drop index productid, add index (productid,itemlive);


+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­
+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
| id | select_type | table            | type   | possible_keys        | key       | key_len | ref                                | rows | Extra    
                                 |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­
+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+
|  1 | SIMPLE      | items            | index  | productid            | productid | 5       | NULL                               | 2180 | Using 
where; Using index; Using temporary | 
|  1 | SIMPLE      | category_product | ref    | categoryid,productid | productid | 4       | ronald.items.productid             |    1 |          
                                 | 
|  1 | SIMPLE      | categories       | eq_ref | PRIMARY              | PRIMARY   | 4       | baris5.category_product.categoryid |    1 | Using 
where                               | 
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­­­­+­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­+­­­­­­­­­­­+­­­­­­­­­+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+­­­­­­
+­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­+




ODTUG – June 2010
Optimizing SQL for Locking
    DML is a blocking statement for MyISAM
    Long running cleanup scripts

DELETE FROM fts_datacache
WHERE productid NOT IN (
SELECT productid
FROM xcart_products_categories
WHERE categoryid IN (297,1356,1366,1361,1202,...)
GROUP BY productid



    3+ minutes to run SELECT
ODTUG – June 2010
Optimizing SQL for Locking
    Rewriting statement into 2 statements
    can reduce locking time to ~10 ms
  CREATE TEMPORARY TABLE delete_cache (
  productid INT NOT NULL, 
  primary key (productid)) ENGINE=MEMORY
  SELECT DISTINCT productid
  FROM retailbl_xcart.xcart_products_categories
  WHERE categoryid IN (297,1356,1366,1361,1202,...);

  DELETE FROM fts_datacache
  WHERE productid NOT IN 
  (SELECT productid FROM delete_cache);


ODTUG – June 2010
Don't Forget Update
UPDATE T 
SET STATE = 'MISFIRED' 
WHERE (STATE = 'WAITING' OR STATE = 'WAITING') 
AND NEXT_FIRE_TIME < 263352299544


EXPLAIN SELECT NAME,STATE
FROM T
WHERE (STATE = 'WAITING' OR STATE = 'WAITING') 
AND NEXT_FIRE_TIME < 263350625813;

+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­+
| id | select_type | table         | type | possible_keys | key  | key_len | ref  | rows | Extra       |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­+
|  1 | SIMPLE      | QRTZ_TRIGGERS | ALL  | NULL          | NULL | NULL    | NULL | 1185 | Using where |
+­­­­+­­­­­­­­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­­­­­­­+­­­­­­+­­­­­­­­­+­­­­­­+­­­­­­+­­­­­­­­­­­­­+




ODTUG – June 2010
Remove Duplicate Indexes
  CREATE TABLE `accounts` (
    `accountid` int(11) NOT NULL auto_increment,
  ...
    `retail_date` date NOT NULL,
    `customer_survey` tinyint(1) NOT NULL default '1',
    PRIMARY KEY  (`accountid`),
    KEY `accountid` (`accountid`)
  );


  CREATE TABLE `vehicle_applications` (

   PRIMARY KEY  (`id`),
    KEY `mcp_index` (`product_id`,`make`,`model`,`year`),
    KEY `status_idx` (`status`),
    KEY `sid_idx` (`status_identifier`),
    KEY `product_id_idx` (`product_id`),
  )
ODTUG – June 2010
The Most Optimal
  SQL is the SQL You
    Can Eliminate
ODTUG – June 2010
Eliminating SQL – Example 1
    Following executed 6,000 times in 5 min period

 SELECT pages_id, 
        pages_livestats_code, 
        pages_title, 
        pages_parent, 
        pages_exhibid, 
        pages_theme, 
        pages_accession_num 
 FROM pages 
 WHERE pages_id = 0


    0 is an invalid pages_id
ODTUG – June 2010
Eliminating SQL – Example 2
    Following executed on single page load
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist` WHERE (ArtistID = 196 )
 5 Query   SELECT *  FROM `artist` WHERE (ArtistID = 2188)
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist`
 5 Query   SELECT *  FROM `artist`




ODTUG – June 2010
Eliminating SQL – Example 3
Row at a time (RAT) processing

SELECT * FROM activities_theme WHERE theme_parent_id=0
SELECT * FROM activities_theme WHERE theme_parent_id=1
SELECT * FROM activities_theme WHERE theme_parent_id=2
SELECT * FROM activities_theme WHERE theme_parent_id=11
SELECT * FROM activities_theme WHERE theme_parent_id=16

Chunk at a time (CAT) processing

SELECT * 
FROM   activities_theme 
WHERE  theme_parent_id in  (0,1,2,11,16) 



ODTUG – June 2010
Conclusion

ODTUG – June 2010
Capture/Analysis/Optimization
    Improvement is a reoccurring process
    Ideally you should analyze all SQL
    Changes in data size and result set size
    over time can affect SQL performance




ODTUG – June 2010

More Related Content

What's hot

Mysql Explain Explained
Mysql Explain ExplainedMysql Explain Explained
Mysql Explain ExplainedJeremy Coates
 
Oracle Database 12.1.0.2 New Features
Oracle Database 12.1.0.2 New FeaturesOracle Database 12.1.0.2 New Features
Oracle Database 12.1.0.2 New FeaturesAlex Zaballa
 
Preparse Query Rewrite Plugins
Preparse Query Rewrite PluginsPreparse Query Rewrite Plugins
Preparse Query Rewrite PluginsSveta Smirnova
 
Highload Perf Tuning
Highload Perf TuningHighload Perf Tuning
Highload Perf TuningHighLoad2009
 
DBA Commands and Concepts That Every Developer Should Know
DBA Commands and Concepts That Every Developer Should KnowDBA Commands and Concepts That Every Developer Should Know
DBA Commands and Concepts That Every Developer Should KnowAlex Zaballa
 
MySQL Troubleshooting with the Performance Schema
MySQL Troubleshooting with the Performance SchemaMySQL Troubleshooting with the Performance Schema
MySQL Troubleshooting with the Performance SchemaSveta Smirnova
 
Advanced MySQL Query Optimizations
Advanced MySQL Query OptimizationsAdvanced MySQL Query Optimizations
Advanced MySQL Query OptimizationsDave Stokes
 
database-querry-student-note
database-querry-student-notedatabase-querry-student-note
database-querry-student-noteLeerpiny Makouach
 
Troubleshooting MySQL Performance
Troubleshooting MySQL PerformanceTroubleshooting MySQL Performance
Troubleshooting MySQL PerformanceSveta Smirnova
 
Introduction into MySQL Query Tuning for Dev[Op]s
Introduction into MySQL Query Tuning for Dev[Op]sIntroduction into MySQL Query Tuning for Dev[Op]s
Introduction into MySQL Query Tuning for Dev[Op]sSveta Smirnova
 
Summary tables with flexviews
Summary tables with flexviewsSummary tables with flexviews
Summary tables with flexviewsJustin Swanhart
 
ConFoo MySQL Replication Evolution : From Simple to Group Replication
ConFoo  MySQL Replication Evolution : From Simple to Group ReplicationConFoo  MySQL Replication Evolution : From Simple to Group Replication
ConFoo MySQL Replication Evolution : From Simple to Group ReplicationDave Stokes
 
Basic MySQL Troubleshooting for Oracle DBAs
Basic MySQL Troubleshooting for Oracle DBAsBasic MySQL Troubleshooting for Oracle DBAs
Basic MySQL Troubleshooting for Oracle DBAsSveta Smirnova
 
MySQL Replication Update - DEbconf 2020 presentation
MySQL Replication Update - DEbconf 2020 presentationMySQL Replication Update - DEbconf 2020 presentation
MySQL Replication Update - DEbconf 2020 presentationDave Stokes
 
MySQL for Oracle DBAs
MySQL for Oracle DBAsMySQL for Oracle DBAs
MySQL for Oracle DBAsMark Leith
 
MySQL Replication Evolution -- Confoo Montreal 2017
MySQL Replication Evolution -- Confoo Montreal 2017MySQL Replication Evolution -- Confoo Montreal 2017
MySQL Replication Evolution -- Confoo Montreal 2017Dave Stokes
 
MySQL Idiosyncrasies That Bite SF
MySQL Idiosyncrasies That Bite SFMySQL Idiosyncrasies That Bite SF
MySQL Idiosyncrasies That Bite SFRonald Bradford
 
SQLite in Adobe AIR
SQLite in Adobe AIRSQLite in Adobe AIR
SQLite in Adobe AIRPeter Elst
 

What's hot (20)

Mysql Explain Explained
Mysql Explain ExplainedMysql Explain Explained
Mysql Explain Explained
 
MySQL
MySQLMySQL
MySQL
 
Oracle Database 12.1.0.2 New Features
Oracle Database 12.1.0.2 New FeaturesOracle Database 12.1.0.2 New Features
Oracle Database 12.1.0.2 New Features
 
Preparse Query Rewrite Plugins
Preparse Query Rewrite PluginsPreparse Query Rewrite Plugins
Preparse Query Rewrite Plugins
 
Highload Perf Tuning
Highload Perf TuningHighload Perf Tuning
Highload Perf Tuning
 
DBA Commands and Concepts That Every Developer Should Know
DBA Commands and Concepts That Every Developer Should KnowDBA Commands and Concepts That Every Developer Should Know
DBA Commands and Concepts That Every Developer Should Know
 
MySQL Troubleshooting with the Performance Schema
MySQL Troubleshooting with the Performance SchemaMySQL Troubleshooting with the Performance Schema
MySQL Troubleshooting with the Performance Schema
 
Advanced MySQL Query Optimizations
Advanced MySQL Query OptimizationsAdvanced MySQL Query Optimizations
Advanced MySQL Query Optimizations
 
database-querry-student-note
database-querry-student-notedatabase-querry-student-note
database-querry-student-note
 
Troubleshooting MySQL Performance
Troubleshooting MySQL PerformanceTroubleshooting MySQL Performance
Troubleshooting MySQL Performance
 
Php with MYSQL Database
Php with MYSQL DatabasePhp with MYSQL Database
Php with MYSQL Database
 
Introduction into MySQL Query Tuning for Dev[Op]s
Introduction into MySQL Query Tuning for Dev[Op]sIntroduction into MySQL Query Tuning for Dev[Op]s
Introduction into MySQL Query Tuning for Dev[Op]s
 
Summary tables with flexviews
Summary tables with flexviewsSummary tables with flexviews
Summary tables with flexviews
 
ConFoo MySQL Replication Evolution : From Simple to Group Replication
ConFoo  MySQL Replication Evolution : From Simple to Group ReplicationConFoo  MySQL Replication Evolution : From Simple to Group Replication
ConFoo MySQL Replication Evolution : From Simple to Group Replication
 
Basic MySQL Troubleshooting for Oracle DBAs
Basic MySQL Troubleshooting for Oracle DBAsBasic MySQL Troubleshooting for Oracle DBAs
Basic MySQL Troubleshooting for Oracle DBAs
 
MySQL Replication Update - DEbconf 2020 presentation
MySQL Replication Update - DEbconf 2020 presentationMySQL Replication Update - DEbconf 2020 presentation
MySQL Replication Update - DEbconf 2020 presentation
 
MySQL for Oracle DBAs
MySQL for Oracle DBAsMySQL for Oracle DBAs
MySQL for Oracle DBAs
 
MySQL Replication Evolution -- Confoo Montreal 2017
MySQL Replication Evolution -- Confoo Montreal 2017MySQL Replication Evolution -- Confoo Montreal 2017
MySQL Replication Evolution -- Confoo Montreal 2017
 
MySQL Idiosyncrasies That Bite SF
MySQL Idiosyncrasies That Bite SFMySQL Idiosyncrasies That Bite SF
MySQL Idiosyncrasies That Bite SF
 
SQLite in Adobe AIR
SQLite in Adobe AIRSQLite in Adobe AIR
SQLite in Adobe AIR
 

Viewers also liked

Inno db internals innodb file formats and source code structure
Inno db internals innodb file formats and source code structureInno db internals innodb file formats and source code structure
Inno db internals innodb file formats and source code structurezhaolinjnu
 
Multi Source Replication With MySQL 5.7 @ Verisure
Multi Source Replication With MySQL 5.7 @ VerisureMulti Source Replication With MySQL 5.7 @ Verisure
Multi Source Replication With MySQL 5.7 @ VerisureKenny Gryp
 
Using Apache Spark and MySQL for Data Analysis
Using Apache Spark and MySQL for Data AnalysisUsing Apache Spark and MySQL for Data Analysis
Using Apache Spark and MySQL for Data AnalysisSveta Smirnova
 
Mastering InnoDB Diagnostics
Mastering InnoDB DiagnosticsMastering InnoDB Diagnostics
Mastering InnoDB Diagnosticsguest8212a5
 
Mysql high availability and scalability
Mysql high availability and scalabilityMysql high availability and scalability
Mysql high availability and scalabilityyin gong
 
MySQL InnoDB Cluster - Group Replication
MySQL InnoDB Cluster - Group ReplicationMySQL InnoDB Cluster - Group Replication
MySQL InnoDB Cluster - Group ReplicationFrederic Descamps
 
MySQL InnoDB Cluster and Group Replication - OSI 2017 Bangalore
MySQL InnoDB Cluster and Group Replication - OSI 2017 BangaloreMySQL InnoDB Cluster and Group Replication - OSI 2017 Bangalore
MySQL InnoDB Cluster and Group Replication - OSI 2017 BangaloreSujatha Sivakumar
 
Successful Scalability Principles - Part 1
Successful Scalability Principles - Part 1Successful Scalability Principles - Part 1
Successful Scalability Principles - Part 1Ronald Bradford
 
Мониторинг и отладка MySQL: максимум информации при минимальных потерях
Мониторинг и отладка MySQL: максимум информации при минимальных потеряхМониторинг и отладка MySQL: максимум информации при минимальных потерях
Мониторинг и отладка MySQL: максимум информации при минимальных потеряхSveta Smirnova
 
MySQL InnoDB 源码实现分析(一)
MySQL InnoDB 源码实现分析(一)MySQL InnoDB 源码实现分析(一)
MySQL InnoDB 源码实现分析(一)frogd
 
淘宝数据库架构演进历程
淘宝数据库架构演进历程淘宝数据库架构演进历程
淘宝数据库架构演进历程zhaolinjnu
 
Lessons Learned: Troubleshooting Replication
Lessons Learned: Troubleshooting ReplicationLessons Learned: Troubleshooting Replication
Lessons Learned: Troubleshooting ReplicationSveta Smirnova
 
MySQL Group Replication
MySQL Group ReplicationMySQL Group Replication
MySQL Group ReplicationKenny Gryp
 
Advanced Percona XtraDB Cluster in a nutshell... la suite
Advanced Percona XtraDB Cluster in a nutshell... la suiteAdvanced Percona XtraDB Cluster in a nutshell... la suite
Advanced Percona XtraDB Cluster in a nutshell... la suiteKenny Gryp
 
MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...
MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...
MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...Frederic Descamps
 
Online MySQL Backups with Percona XtraBackup
Online MySQL Backups with Percona XtraBackupOnline MySQL Backups with Percona XtraBackup
Online MySQL Backups with Percona XtraBackupKenny Gryp
 

Viewers also liked (20)

Inno db internals innodb file formats and source code structure
Inno db internals innodb file formats and source code structureInno db internals innodb file formats and source code structure
Inno db internals innodb file formats and source code structure
 
Multi Source Replication With MySQL 5.7 @ Verisure
Multi Source Replication With MySQL 5.7 @ VerisureMulti Source Replication With MySQL 5.7 @ Verisure
Multi Source Replication With MySQL 5.7 @ Verisure
 
Using Apache Spark and MySQL for Data Analysis
Using Apache Spark and MySQL for Data AnalysisUsing Apache Spark and MySQL for Data Analysis
Using Apache Spark and MySQL for Data Analysis
 
Mastering InnoDB Diagnostics
Mastering InnoDB DiagnosticsMastering InnoDB Diagnostics
Mastering InnoDB Diagnostics
 
Load Data Fast!
Load Data Fast!Load Data Fast!
Load Data Fast!
 
Mysql high availability and scalability
Mysql high availability and scalabilityMysql high availability and scalability
Mysql high availability and scalability
 
MySQL InnoDB Cluster - Group Replication
MySQL InnoDB Cluster - Group ReplicationMySQL InnoDB Cluster - Group Replication
MySQL InnoDB Cluster - Group Replication
 
MySQL aio
MySQL aioMySQL aio
MySQL aio
 
MySQL InnoDB Cluster and Group Replication - OSI 2017 Bangalore
MySQL InnoDB Cluster and Group Replication - OSI 2017 BangaloreMySQL InnoDB Cluster and Group Replication - OSI 2017 Bangalore
MySQL InnoDB Cluster and Group Replication - OSI 2017 Bangalore
 
Mysql For Developers
Mysql For DevelopersMysql For Developers
Mysql For Developers
 
Successful Scalability Principles - Part 1
Successful Scalability Principles - Part 1Successful Scalability Principles - Part 1
Successful Scalability Principles - Part 1
 
Мониторинг и отладка MySQL: максимум информации при минимальных потерях
Мониторинг и отладка MySQL: максимум информации при минимальных потеряхМониторинг и отладка MySQL: максимум информации при минимальных потерях
Мониторинг и отладка MySQL: максимум информации при минимальных потерях
 
MySQL InnoDB 源码实现分析(一)
MySQL InnoDB 源码实现分析(一)MySQL InnoDB 源码实现分析(一)
MySQL InnoDB 源码实现分析(一)
 
Extensible Data Modeling
Extensible Data ModelingExtensible Data Modeling
Extensible Data Modeling
 
淘宝数据库架构演进历程
淘宝数据库架构演进历程淘宝数据库架构演进历程
淘宝数据库架构演进历程
 
Lessons Learned: Troubleshooting Replication
Lessons Learned: Troubleshooting ReplicationLessons Learned: Troubleshooting Replication
Lessons Learned: Troubleshooting Replication
 
MySQL Group Replication
MySQL Group ReplicationMySQL Group Replication
MySQL Group Replication
 
Advanced Percona XtraDB Cluster in a nutshell... la suite
Advanced Percona XtraDB Cluster in a nutshell... la suiteAdvanced Percona XtraDB Cluster in a nutshell... la suite
Advanced Percona XtraDB Cluster in a nutshell... la suite
 
MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...
MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...
MySQL innodb cluster and Group Replication in a nutshell - hands-on tutorial ...
 
Online MySQL Backups with Percona XtraBackup
Online MySQL Backups with Percona XtraBackupOnline MySQL Backups with Percona XtraBackup
Online MySQL Backups with Percona XtraBackup
 

Similar to Capturing, Analyzing and Optimizing MySQL

Fluentd 20150918 no_demo_public
Fluentd 20150918 no_demo_publicFluentd 20150918 no_demo_public
Fluentd 20150918 no_demo_publicSaewoong Lee
 
Vendor session myFMbutler DoSQL 2
Vendor session myFMbutler DoSQL 2Vendor session myFMbutler DoSQL 2
Vendor session myFMbutler DoSQL 2Koen Van Hulle
 
Playing with the CONNECT storage engine
Playing with the CONNECT storage enginePlaying with the CONNECT storage engine
Playing with the CONNECT storage engineFederico Razzoli
 
MySQL Performance Schema in 20 Minutes
 MySQL Performance Schema in 20 Minutes MySQL Performance Schema in 20 Minutes
MySQL Performance Schema in 20 MinutesSveta Smirnova
 
Undelete (and more) rows from the binary log
Undelete (and more) rows from the binary logUndelete (and more) rows from the binary log
Undelete (and more) rows from the binary logFrederic Descamps
 
Common schema my sql uc 2012
Common schema   my sql uc 2012Common schema   my sql uc 2012
Common schema my sql uc 2012Roland Bouman
 
Common schema my sql uc 2012
Common schema   my sql uc 2012Common schema   my sql uc 2012
Common schema my sql uc 2012Roland Bouman
 
HandlerSocket plugin for MySQL (English)
HandlerSocket plugin for MySQL (English)HandlerSocket plugin for MySQL (English)
HandlerSocket plugin for MySQL (English)akirahiguchi
 
MySQL Tokudb engine benchmark
MySQL Tokudb engine benchmarkMySQL Tokudb engine benchmark
MySQL Tokudb engine benchmarkLouis liu
 
11 Things About11g
11 Things About11g11 Things About11g
11 Things About11gfcamachob
 
11thingsabout11g 12659705398222 Phpapp01
11thingsabout11g 12659705398222 Phpapp0111thingsabout11g 12659705398222 Phpapp01
11thingsabout11g 12659705398222 Phpapp01Karam Abuataya
 
LVOUG meetup #4 - Case Study 10g to 11g
LVOUG meetup #4 - Case Study 10g to 11gLVOUG meetup #4 - Case Study 10g to 11g
LVOUG meetup #4 - Case Study 10g to 11gMaris Elsins
 
aotc_120805_mwagner
aotc_120805_mwagneraotc_120805_mwagner
aotc_120805_mwagnerMary Wagner
 
10x improvement-mysql-100419105218-phpapp02
10x improvement-mysql-100419105218-phpapp0210x improvement-mysql-100419105218-phpapp02
10x improvement-mysql-100419105218-phpapp02promethius
 
OSMC 2008 | Monitoring MySQL by Geert Vanderkelen
OSMC 2008 | Monitoring MySQL by Geert VanderkelenOSMC 2008 | Monitoring MySQL by Geert Vanderkelen
OSMC 2008 | Monitoring MySQL by Geert VanderkelenNETWAYS
 
Tracing and profiling my sql (percona live europe 2019) draft_1
Tracing and profiling my sql (percona live europe 2019) draft_1Tracing and profiling my sql (percona live europe 2019) draft_1
Tracing and profiling my sql (percona live europe 2019) draft_1Valerii Kravchuk
 
Introducing new SQL syntax and improving performance with preparse Query Rewr...
Introducing new SQL syntax and improving performance with preparse Query Rewr...Introducing new SQL syntax and improving performance with preparse Query Rewr...
Introducing new SQL syntax and improving performance with preparse Query Rewr...Sveta Smirnova
 
Moving to the NoSQL side: MySQL JSON functions
 Moving to the NoSQL side: MySQL JSON functions Moving to the NoSQL side: MySQL JSON functions
Moving to the NoSQL side: MySQL JSON functionsSveta Smirnova
 

Similar to Capturing, Analyzing and Optimizing MySQL (20)

Fluentd 20150918 no_demo_public
Fluentd 20150918 no_demo_publicFluentd 20150918 no_demo_public
Fluentd 20150918 no_demo_public
 
Vendor session myFMbutler DoSQL 2
Vendor session myFMbutler DoSQL 2Vendor session myFMbutler DoSQL 2
Vendor session myFMbutler DoSQL 2
 
Playing with the CONNECT storage engine
Playing with the CONNECT storage enginePlaying with the CONNECT storage engine
Playing with the CONNECT storage engine
 
MySQL Performance Schema in 20 Minutes
 MySQL Performance Schema in 20 Minutes MySQL Performance Schema in 20 Minutes
MySQL Performance Schema in 20 Minutes
 
Undelete (and more) rows from the binary log
Undelete (and more) rows from the binary logUndelete (and more) rows from the binary log
Undelete (and more) rows from the binary log
 
Common schema my sql uc 2012
Common schema   my sql uc 2012Common schema   my sql uc 2012
Common schema my sql uc 2012
 
Common schema my sql uc 2012
Common schema   my sql uc 2012Common schema   my sql uc 2012
Common schema my sql uc 2012
 
HandlerSocket plugin for MySQL (English)
HandlerSocket plugin for MySQL (English)HandlerSocket plugin for MySQL (English)
HandlerSocket plugin for MySQL (English)
 
MySQL Tokudb engine benchmark
MySQL Tokudb engine benchmarkMySQL Tokudb engine benchmark
MySQL Tokudb engine benchmark
 
PHP tips by a MYSQL DBA
PHP tips by a MYSQL DBAPHP tips by a MYSQL DBA
PHP tips by a MYSQL DBA
 
11 Things About11g
11 Things About11g11 Things About11g
11 Things About11g
 
11thingsabout11g 12659705398222 Phpapp01
11thingsabout11g 12659705398222 Phpapp0111thingsabout11g 12659705398222 Phpapp01
11thingsabout11g 12659705398222 Phpapp01
 
LVOUG meetup #4 - Case Study 10g to 11g
LVOUG meetup #4 - Case Study 10g to 11gLVOUG meetup #4 - Case Study 10g to 11g
LVOUG meetup #4 - Case Study 10g to 11g
 
aotc_120805_mwagner
aotc_120805_mwagneraotc_120805_mwagner
aotc_120805_mwagner
 
10053 otw
10053 otw10053 otw
10053 otw
 
10x improvement-mysql-100419105218-phpapp02
10x improvement-mysql-100419105218-phpapp0210x improvement-mysql-100419105218-phpapp02
10x improvement-mysql-100419105218-phpapp02
 
OSMC 2008 | Monitoring MySQL by Geert Vanderkelen
OSMC 2008 | Monitoring MySQL by Geert VanderkelenOSMC 2008 | Monitoring MySQL by Geert Vanderkelen
OSMC 2008 | Monitoring MySQL by Geert Vanderkelen
 
Tracing and profiling my sql (percona live europe 2019) draft_1
Tracing and profiling my sql (percona live europe 2019) draft_1Tracing and profiling my sql (percona live europe 2019) draft_1
Tracing and profiling my sql (percona live europe 2019) draft_1
 
Introducing new SQL syntax and improving performance with preparse Query Rewr...
Introducing new SQL syntax and improving performance with preparse Query Rewr...Introducing new SQL syntax and improving performance with preparse Query Rewr...
Introducing new SQL syntax and improving performance with preparse Query Rewr...
 
Moving to the NoSQL side: MySQL JSON functions
 Moving to the NoSQL side: MySQL JSON functions Moving to the NoSQL side: MySQL JSON functions
Moving to the NoSQL side: MySQL JSON functions
 

More from Ronald Bradford

MySQL Backup and Recovery Essentials
MySQL Backup and Recovery EssentialsMySQL Backup and Recovery Essentials
MySQL Backup and Recovery EssentialsRonald Bradford
 
The History and Future of the MySQL ecosystem
The History and Future of the MySQL ecosystemThe History and Future of the MySQL ecosystem
The History and Future of the MySQL ecosystemRonald Bradford
 
Lessons Learned Managing Large AWS Environments
Lessons Learned Managing Large AWS EnvironmentsLessons Learned Managing Large AWS Environments
Lessons Learned Managing Large AWS EnvironmentsRonald Bradford
 
Monitoring your technology stack with New Relic
Monitoring your technology stack with New RelicMonitoring your technology stack with New Relic
Monitoring your technology stack with New RelicRonald Bradford
 
MySQL Scalability Mistakes - OTN
MySQL Scalability Mistakes - OTNMySQL Scalability Mistakes - OTN
MySQL Scalability Mistakes - OTNRonald Bradford
 
My SQL Idiosyncrasies That Bite OTN
My SQL Idiosyncrasies That Bite OTNMy SQL Idiosyncrasies That Bite OTN
My SQL Idiosyncrasies That Bite OTNRonald Bradford
 
Successful MySQL Scalability
Successful MySQL ScalabilitySuccessful MySQL Scalability
Successful MySQL ScalabilityRonald Bradford
 
MySQL Idiosyncrasies That Bite 2010.07
MySQL Idiosyncrasies That Bite 2010.07MySQL Idiosyncrasies That Bite 2010.07
MySQL Idiosyncrasies That Bite 2010.07Ronald Bradford
 
MySQL Idiosyncrasies That Bite
MySQL Idiosyncrasies That BiteMySQL Idiosyncrasies That Bite
MySQL Idiosyncrasies That BiteRonald Bradford
 
LIFTOFF - MySQLCamp for the Oracle DBA
LIFTOFF - MySQLCamp for the Oracle DBALIFTOFF - MySQLCamp for the Oracle DBA
LIFTOFF - MySQLCamp for the Oracle DBARonald Bradford
 
IGNITION - MySQLCamp for the Oracle DBA
IGNITION - MySQLCamp for the Oracle DBAIGNITION - MySQLCamp for the Oracle DBA
IGNITION - MySQLCamp for the Oracle DBARonald Bradford
 
Dolphins Now And Beyond - FOSDEM 2010
Dolphins Now And Beyond - FOSDEM 2010Dolphins Now And Beyond - FOSDEM 2010
Dolphins Now And Beyond - FOSDEM 2010Ronald Bradford
 
Drizzle - Status, Principles and Ecosystem
Drizzle - Status, Principles and EcosystemDrizzle - Status, Principles and Ecosystem
Drizzle - Status, Principles and EcosystemRonald Bradford
 
MySQL for the Oracle DBA - Object Management
MySQL for the Oracle DBA - Object ManagementMySQL for the Oracle DBA - Object Management
MySQL for the Oracle DBA - Object ManagementRonald Bradford
 
Know Your Competitor - Oracle 10g Express Edition
Know Your Competitor - Oracle 10g Express EditionKnow Your Competitor - Oracle 10g Express Edition
Know Your Competitor - Oracle 10g Express EditionRonald Bradford
 
MySQL For Oracle DBA's and Developers
MySQL For Oracle DBA's and DevelopersMySQL For Oracle DBA's and Developers
MySQL For Oracle DBA's and DevelopersRonald Bradford
 
MySQL For Oracle Developers
MySQL For Oracle DevelopersMySQL For Oracle Developers
MySQL For Oracle DevelopersRonald Bradford
 
The Ideal Performance Architecture
The Ideal Performance ArchitectureThe Ideal Performance Architecture
The Ideal Performance ArchitectureRonald Bradford
 

More from Ronald Bradford (20)

MySQL Backup and Recovery Essentials
MySQL Backup and Recovery EssentialsMySQL Backup and Recovery Essentials
MySQL Backup and Recovery Essentials
 
The History and Future of the MySQL ecosystem
The History and Future of the MySQL ecosystemThe History and Future of the MySQL ecosystem
The History and Future of the MySQL ecosystem
 
Lessons Learned Managing Large AWS Environments
Lessons Learned Managing Large AWS EnvironmentsLessons Learned Managing Large AWS Environments
Lessons Learned Managing Large AWS Environments
 
Monitoring your technology stack with New Relic
Monitoring your technology stack with New RelicMonitoring your technology stack with New Relic
Monitoring your technology stack with New Relic
 
MySQL Scalability Mistakes - OTN
MySQL Scalability Mistakes - OTNMySQL Scalability Mistakes - OTN
MySQL Scalability Mistakes - OTN
 
My SQL Idiosyncrasies That Bite OTN
My SQL Idiosyncrasies That Bite OTNMy SQL Idiosyncrasies That Bite OTN
My SQL Idiosyncrasies That Bite OTN
 
Successful MySQL Scalability
Successful MySQL ScalabilitySuccessful MySQL Scalability
Successful MySQL Scalability
 
MySQL Idiosyncrasies That Bite 2010.07
MySQL Idiosyncrasies That Bite 2010.07MySQL Idiosyncrasies That Bite 2010.07
MySQL Idiosyncrasies That Bite 2010.07
 
MySQL Idiosyncrasies That Bite
MySQL Idiosyncrasies That BiteMySQL Idiosyncrasies That Bite
MySQL Idiosyncrasies That Bite
 
LIFTOFF - MySQLCamp for the Oracle DBA
LIFTOFF - MySQLCamp for the Oracle DBALIFTOFF - MySQLCamp for the Oracle DBA
LIFTOFF - MySQLCamp for the Oracle DBA
 
IGNITION - MySQLCamp for the Oracle DBA
IGNITION - MySQLCamp for the Oracle DBAIGNITION - MySQLCamp for the Oracle DBA
IGNITION - MySQLCamp for the Oracle DBA
 
Dolphins Now And Beyond - FOSDEM 2010
Dolphins Now And Beyond - FOSDEM 2010Dolphins Now And Beyond - FOSDEM 2010
Dolphins Now And Beyond - FOSDEM 2010
 
Drizzle - Status, Principles and Ecosystem
Drizzle - Status, Principles and EcosystemDrizzle - Status, Principles and Ecosystem
Drizzle - Status, Principles and Ecosystem
 
SQL v No SQL
SQL v No SQLSQL v No SQL
SQL v No SQL
 
MySQL for the Oracle DBA - Object Management
MySQL for the Oracle DBA - Object ManagementMySQL for the Oracle DBA - Object Management
MySQL for the Oracle DBA - Object Management
 
Know Your Competitor - Oracle 10g Express Edition
Know Your Competitor - Oracle 10g Express EditionKnow Your Competitor - Oracle 10g Express Edition
Know Your Competitor - Oracle 10g Express Edition
 
MySQL For Oracle DBA's and Developers
MySQL For Oracle DBA's and DevelopersMySQL For Oracle DBA's and Developers
MySQL For Oracle DBA's and Developers
 
MySQL For Oracle Developers
MySQL For Oracle DevelopersMySQL For Oracle Developers
MySQL For Oracle Developers
 
The Ideal Performance Architecture
The Ideal Performance ArchitectureThe Ideal Performance Architecture
The Ideal Performance Architecture
 
MySQL Monitoring 101
MySQL Monitoring 101MySQL Monitoring 101
MySQL Monitoring 101
 

Recently uploaded

The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 

Recently uploaded (20)

The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 

Capturing, Analyzing and Optimizing MySQL