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2012 summarytables
1.
2.
2 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Insert Information Protection Policy Classification from Slide 8 ORACLE PRODUCT LOGO MySQL: Summary Tables Keith Larson keith.larson@oracle.com MySQL Community Manager sqlhjalp.blogspot.com sqlhjalp.com/pdf/2012_summarytables.pdf
3.
3 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
4.
4 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. localhost ~]$ whoami Keith Larson keith.larson@oracle.com MySQL Community Manager sqlhjalp.blogspot.com Started with MySQL 3.23 during the dot.com days. Primary real world work was with a MySQL InnoDB delayed replicated environment that easily held over 4 billion rows of user data. Did a lot of data mining of that data over the years. Numerous other sites developed on LAMP stack over the last 13 years. Also a movie buff :) Who are you? DBAs? Developers? sqlhjalp.blogspot.com/2012/02/summary-tables-with-mysql.html
5.
5 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Program Agenda MySQL Summary Tables are not a new concept. They are exactly what they sound like, basically a summary of existing data. We will review how to take advantage of summary table information and ETL the processes to provide quick results for your application. • A Situation • Some Solutions • Resources to learn more
6.
6 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. “I know why you're here, ... I know what you've been doing... why you hardly sleep, why you live alone, and why night after night, you sit by your computer. You're looking for him. I know because I was once looking for the same thing. And when he found me, he told me I wasn't really looking for him. I was looking for an answer. It's the question that drives us.... “ -- Trinity , The Matrix “Perhaps we are asking the wrong questions.” -- Agent Brown , The Matrix http://keikonium.deviantart.com/art/The-Matrix-Background-32136837 The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix.
7.
7 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Temet Nosce - thine own-self you must know. How well do you know your data.... What if your data was as big as the matrix? http://thematrix101.com/media/still/photo-mat_temetnosce.jpg The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. ● How to sort data efficiently ● How to data mine all of this data ● Reporting of data trends takes a long time ● How would you gather data for rendering A Situation
8.
8 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. http://www.grinningplanet.com/3001/mp3news_other/matrix-pods_222x127.jpg The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. Table of all the structures CREATE TABLE `structure` ( `structure_id` int(5) unsigned NOT NULL auto_increment, `latitude` Float (10,6), `longitude` Float (10,6), `date_online` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `levels` int(5) unsigned DEFAULT '0', `max_pods` int(5) unsigned DEFAULT '0', `ip` INT UNSIGNED NOT NULL, `communication_protocol` enum('OFF','IP.PIPE','IP.UDP','IP6.PIPE','IP6.UDP','IP.SPIPE','IP6.SPIPE','SNA.PIPE' ) default NULL, PRIMARY KEY (`structure_id`), KEY `date_online` (`date_online`) ) ENGINE=InnoDB ; The Situation
9.
9 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. The Situation http://www.tony5m17h.net/MatrixNet.gif The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. Table of all the pods CREATE TABLE `pod` ( `pod_id` int(5) unsigned NOT NULL auto_increment, `structure_id` int(5) unsigned DEFAULT '0', `online_date` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `offline_date` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `level` int(5) unsigned DEFAULT '0', `position` int(5) unsigned DEFAULT '0', `ip` INT UNSIGNED NOT NULL, `communication_protocol` enum('OFF','IP.PIPE','IP.UDP','IP6.PIPE','IP6.UDP','IP.SPIPE','IP6.SPIPE','SNA.PIPE' ) default NULL, UNIQUE KEY `pods` (`pod_id`,`structure_id`,`online_date`), KEY `online_date` (`online_date`) , KEY `offline_date` (`offline_date`) ) ENGINE=InnoDB ;
10.
10 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `human` ( `human_id` int(5) unsigned NOT NULL auto_increment, `human_key` varchar(32) default NULL, `pod_id` int(5) unsigned DEFAULT '0', `online_date` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `ip` INT UNSIGNED NOT NULL, `offline_date` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', PRIMARY KEY (`human_id`), UNIQUE KEY `human` (`human_id`,`pod_id`,`online_date`), KEY `online_date` (`online_date`) , KEY `offline_date` (`offline_date`) ) ENGINE=InnoDB ; www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. The Situation Table of all the humans
11.
11 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `data` ( `data_id` int(5) unsigned NOT NULL auto_increment, `question` varchar(100) default NULL, `create_date` datetime default NULL, `date_updated` datetime NOT NULL default '0000-00-00 00:00:00', PRIMARY KEY (`data_id`), KEY `question` (`question`(5)) ) ENGINE=InnoDB ; mysql> select data_id , question from data limit 7; +---------+-------------+ | data_id | question | +---------+-------------+ | 1 | First Name | | 2 | Last Name | | 3 | Gender | | 4 | Address | | 5 | City | | 6 | State | | 7 | Zip | +---------+------------+ The Situation www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. Table of all the humans
12.
12 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `human_data` ( `human_data_id` bigint(12) unsigned NOT NULL auto_increment, `human_id` int(9) unsigned default NULL, `data_id` int(5) unsigned default NULL, `value` varchar(100) default NULL, PRIMARY KEY (`human_data_id`), UNIQUE KEY `hd_id` (`human_id`,`data_id`), KEY `dv` (`data_id`,`value`(5)) ) ENGINE=InnoDB; Table of all the humans The Situation www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. +---------------+----------+---------+------------------------------+ | human_data_id | human_id | data_id | value | +---------------+----------+---------+------------------------------+ | 1 | 1 | 1 | Thomas | | 2 | 1 | 2 | Anderson | | 3 | 1 | 3 | M | | 13 | 1 | 4 | 1060 West Addison Street | | 4 | 1 | 5 | Chicago | | 5 | 1 | 6 | Illinois | | 6 | 1 | 7 | 60613 | | 7 | 1 | 16 | Lower Downtown, Capitol City | | 8 | 1 | 17 | 03 | | 9 | 1 | 18 | 11 | | 10 | 1 | 19 | 1962 | | 11 | 1 | 20 | Central West Junior High | | 12 | 1 | 21 | Owen Paterson High School | +---------------+----------+---------+------------------------------+
13.
13 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. CREATE TABLE `job` ( `job_id` int(5) unsigned NOT NULL DEFAULT '0', `title` varchar(15) DEFAULT NULL, `salary` decimal(5,3) default '0.000', PRIMARY KEY (`job_id`) ) ENGINE=InnoDB ; CREATE TABLE `color` ( `color_id` int(5) unsigned NOT NULL DEFAULT '0', `color` enum('Brown','Blue','Hazel','Green','Red','Yellow','Blonde','Gold') default NULL, PRIMARY KEY (`color_id`) ) ENGINE=InnoDB ; The Situation Table of all the humans
14.
14 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `eyes` ( `eyes_id` int(5) unsigned NOT NULL auto_increment, `color_id` int(5) unsigned DEFAULT '0', `species_id` int(5) unsigned DEFAULT '0', `style_id` int(5) unsigned DEFAULT '0', `shape_id` int(5) unsigned DEFAULT '0', PRIMARY KEY (`eyes_id`) ) ENGINE=InnoDB ; CREATE TABLE `hair` ( `hair_id` int(5) unsigned NOT NULL auto_increment, `style_id` int(5) unsigned DEFAULT '0', `color_id` int(5) unsigned DEFAULT '0', `shape_id` int(5) unsigned DEFAULT '0', PRIMARY KEY (`hair_id`) ) ENGINE=InnoDB ; The Situation www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. Table of all the humans
15.
15 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. SELECT h.human_key , hd1.value as 'First Name' , hd2.value as 'Last Name' , hd3.value as 'Gender' , hd4.value as 'Address' , hd5.value as 'City' , hd6.value as 'State' , hd7.value as 'ZipCode' , hd16.value as 'Place of Birth' , CONCAT(hd17.value, '-',hd18.value,'-', hd19.value ) AS DOB, hd20.value as 'Junior High' , hd21.value as 'High School', INET_NTOA(h.ip) as ip FROM human h INNER JOIN human_data hd1 ON h.human_id = hd1.human_id AND hd1.data_id = 1 INNER JOIN human_data hd2 ON h.human_id = hd2.human_id AND hd2.data_id = 2 INNER JOIN human_data hd3 ON h.human_id = hd3.human_id AND hd3.data_id = 3 INNER JOIN human_data hd4 ON h.human_id = hd4.human_id AND hd4.data_id = 4 INNER JOIN human_data hd5 ON h.human_id = hd5.human_id AND hd5.data_id = 5 INNER JOIN human_data hd6 ON h.human_id = hd6.human_id AND hd6.data_id = 6 INNER JOIN human_data hd7 ON h.human_id = hd7.human_id AND hd7.data_id = 7 LEFT JOIN human_data hd16 ON h.human_id = hd16.human_id AND hd16.data_id = 16 LEFT JOIN human_data hd17 ON h.human_id = hd17.human_id AND hd17.data_id = 17 LEFT JOIN human_data hd18 ON h.human_id = hd18.human_id AND hd18.data_id = 18 LEFT JOIN human_data hd19 ON h.human_id = hd19.human_id AND hd19.data_id = 19 LEFT JOIN human_data hd20 ON h.human_id = hd20.human_id AND hd20.data_id = 20 LEFT JOIN human_data hd21 ON h.human_id = hd21.human_id AND hd21.data_id = 21 WHERE h.human_id = 1G Lots of Data Across lots of Tables The Situation
16.
16 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. *************************** 1. row *************************** human_key: 63b28bb2be0bf40085646decce81ae9f First Name: Thomas Last Name: Anderson Gender: M Address: 1060 West Addison Street City: Chicago State: Illinois ZipCode: 60613 Place of Birth: Lower Downtown, Capitol City DOB: 03-11-1962 Junior High: Central West Junior High High School: Owen Paterson High School ip: 192.168.5.221 1 row in set (0.00 sec) The Situation Lots of Data Across lots of Tables www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix.
17.
17 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. SELECT h.human_key , hd1.value as 'First Name' , hd2.value as 'Last Name' , hd3.value as 'Gender' FROM human h INNER JOIN human_data hd1 ON h.human_id = hd1.human_id AND hd1.data_id = 1 INNER JOIN human_data hd2 ON h.human_id = hd2.human_id AND hd2.data_id = 2 INNER JOIN human_data hd3 ON h.human_id = hd3.human_id AND hd3.data_id = 3 WHERE hd2.value like 'Mc%'; Lots of Data Across lots of Tables The Situation
18.
18 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. +----------------------------------+----------------+-------------+--------+ | human_key | First Name | Last Name | Gender | +----------------------------------+----------------+-------------+--------+ | 5631e6ee59a4175cd06c305840562ff3 | Shunichi | McAffer | M | | d28c252abf26d8ffa69ad522c66b698e | Xudong | McAffer | F | | 80d4c0e3d8705d1ae4cfd19dd89fa34a | Taizo | McAffer | M | | 25a714b921e3a2ba54c452debb9b5584 | Yuuichi | McAffer | M | ... | 601fa6a61d57b1f8a800d15eedfbd370 | Martien | McAlpine | F | ... | 657e31ff3231b847d7604f6647a2dfc9 | Shir | McClurg | M | .. | 72db86e4c73b9fabb4810562b236488e | Youpyo | McClure | M | | 83b7afcfe4ad452c54ea6427b18960f8 | Khaled | McClurg | F | .. | 2abbe47df459c35281fb6e86f19ea85e | Maria | McDermid | F | ... | 999df4ce78b966de17aee1dc87111044 | Berhard | McFarlin | M | 1482 rows in set (0.15 sec) Lots of Data Across lots of Tables The Situation
19.
19 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Define snowflake A snowflake schema is a logical arrangement of tables in a multidimensional database such that the entity relationship diagram resembles a snowflake in shape. ... -- en.wikipedia.org/wiki/Snowflake_schema http://thumbs.dreamstime.com/thumblarge_316/12227643929M1f6o.jpg http://www.informix.com.ua/articles/rolap/rolap.htm
20.
20 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Solutions Data Warehouse** Noun: A large store of data accumulated from a wide range of sources within a company and used to guide management decisions. -- Google.com ** Same place, same time on Saturday for more on Data Warehouses.
21.
21 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Solutions Bill Inmon's paradigm: Data warehouse is one part of the overall business intelligence system. An enterprise has one data warehouse, and data marts source their information from the data warehouse. In the data warehouse, information is stored in 3rd normal form. Ralph Kimball's paradigm: Data warehouse is the conglomerate of all data marts within the enterprise. Information is always stored in the dimensional model. http://www.1keydata.com/datawarehousing/inmon-kimball.html
22.
22 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Define Summary Table A collection of one or more data elements that are classified into some logical structure, either as dimensions or data points -- webster's dictionary Solutions
23.
23 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `the_matrix` ( `the_matrix_id` bigint(12) unsigned NOT NULL AUTO_INCREMENT, `human_id` int(9) unsigned DEFAULT NULL, `firstname` varchar(100) DEFAULT NULL, `lastname` varchar(100) DEFAULT NULL, `alias` varchar(50) DEFAULT NULL, `gender` varchar(2) DEFAULT NULL, `address` varchar(100) DEFAULT NULL, `city` varchar(100) DEFAULT NULL, `state` varchar(100) DEFAULT NULL, `zipcode` varchar(100) DEFAULT NULL, `dob_month` varchar(5) DEFAULT NULL, `dob_day` varchar(5) DEFAULT NULL, `dob_year` varchar(5) DEFAULT NULL, `hair_color` varchar(50) DEFAULT NULL, `hair_style` varchar(50) DEFAULT NULL, `eye_color` varchar(50) DEFAULT NULL, `date_updated` datetime NOT NULL DEFAULT '0000-00-00 00:00:00', PRIMARY KEY (`the_matrix_id`), UNIQUE KEY `human_id` (`human_id`), KEY `date_updated` (`date_updated`) ) ENGINE=InnoDB Solutions: Summary Table
24.
24 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. DELIMITER // CREATE PROCEDURE build_the_matrix() BEGIN SELECT MAX(date_updated) INTO @matrix_date FROM the_matrix ; REPLACE INTO the_matrix SELECT NULL, h.human_id, hd1.value as 'First Name' , hd2.value as 'Last Name', hd13.value as alias , hd3.value as 'Gender' , hd4.value as 'Address' , hd5.value as 'City' , hd6.value as 'State' , hd7.value as 'ZipCode' , hd17.value as dob_month, hd18.value as dob_day, hd19.value as dob_year, hd23.value as hair_color, hd24.value as hair_style, hd25.value as eye_color, hdd.date_updated FROM human h INNER JOIN human_data hdd ON h.human_id = hdd.human_id INNER JOIN human_data hd1 ON h.human_id = hd1.human_id AND hd1.data_id = 1 INNER JOIN human_data hd2 ON h.human_id = hd2.human_id AND hd2.data_id = 2 LEFT JOIN human_data hd3 ON h.human_id = hd3.human_id AND hd3.data_id = 3 LEFT JOIN human_data hd4 ON h.human_id = hd4.human_id AND hd4.data_id = 4 LEFT JOIN human_data hd5 ON h.human_id = hd5.human_id AND hd5.data_id = 5 LEFT JOIN human_data hd6 ON h.human_id = hd6.human_id AND hd6.data_id = 6 LEFT JOIN human_data hd7 ON h.human_id = hd7.human_id AND hd7.data_id = 7 LEFT JOIN human_data hd13 ON h.human_id = hd13.human_id AND hd13.data_id = 13 LEFT JOIN human_data hd16 ON h.human_id = hd16.human_id AND hd16.data_id = 16 LEFT JOIN human_data hd17 ON h.human_id = hd17.human_id AND hd17.data_id = 17 LEFT JOIN human_data hd18 ON h.human_id = hd18.human_id AND hd18.data_id = 18 LEFT JOIN human_data hd19 ON h.human_id = hd19.human_id AND hd19.data_id = 19 LEFT JOIN human_data hd20 ON h.human_id = hd20.human_id AND hd20.data_id = 20 LEFT JOIN human_data hd21 ON h.human_id = hd21.human_id AND hd21.data_id = 21 LEFT JOIN human_data hd23 ON h.human_id = hd23.human_id AND hd23.data_id = 23 LEFT JOIN human_data hd24 ON h.human_id = hd24.human_id AND hd24.data_id = 24 LEFT JOIN human_data hd25 ON h.human_id = hd25.human_id AND hd25.data_id = 25 WHERE hdd.date_updated >= @matrix_date ; END // DELIMITER ; Solutions: ExtractLoad EL
25.
25 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE EVENT build_the_matrix_10minruns ON SCHEDULE EVERY 10 MINUTE COMMENT ' it is the question that drives us ' DO CALL build_the_matrix(); show variables like '%event_s%'; +-----------------+-------+ | Variable_name | Value | +-----------------+-------+ | event_scheduler | ON | +-----------------+-------+ mysql> set GLOBAL event_scheduler = ON || OFF ; mysql> show processlistG ..... User: event_scheduler Host: localhost db: NULL Command: Daemon Time: 26 State: Waiting for next activation Info: NULL Solutions: ExtractLoad EL
26.
26 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Solutions: Data Mining mysql> SELECT SQL_no_cache COUNT(h.human_id) , g.value , s.value , c.value FROM human h INNER JOIN human_data g ON g.human_id = h.human_id AND g.data_id = 3 LEFT JOIN human_data s ON s.human_id = h.human_id AND s.data_id = 6 LEFT JOIN human_data c ON c.human_id = h.human_id AND c.data_id = 25 GROUP BY g.value , s.value , c.value; +-------------------+-------+----------+-------+ | COUNT(h.human_id) | value | value | value | +-------------------+-------+----------+-------+ | 119932 | F | NULL | NULL | ... | 14 | M | New York | Blue | | 13 | M | New York | Brown | | 7 | M | New York | Green | | 5 | M | New York | Hazel | | 7 | M | Oregon | Blue | | 8 | M | Oregon | Brown | | 9 | M | Oregon | Green | | 4 | M | Oregon | Hazel | +-------------------+-------+------------+-------+ 51 rows in set (5.26 sec)
27.
27 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Solutions: Data Mining Data Mine the matrix mysql> SELECT SQL_no_cache COUNT(human_id), gender , state , hair_color FROM the_matrix GROUP BY gender , state , hair_color ORDER BY gender , state , hair_color ; | COUNT(human_id) | gender | state | hair_color | +-----------------+--------+------------+------------+ | 0 | NULL | NULL | NULL | | 109196 | F | NULL | NULL | | 163435 | M | NULL | NULL | ..... | 1 | M | Illinois | BLACK | | 25 | M | New York | BLACK | | 14 | M | New York | BLOND | | 12 | M | Oregon | BLACK | | 16 | M | Oregon | BLOND | +-----------------+--------+------------+------------+ 28 rows in set (0.66 sec)
28.
28 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Solutions: Data Mining mysql> SELECT SQL_no_cache COUNT(h.human_id) , g.value , s.value , c.value FROM human h INNER JOIN human_data g ON g.human_id = h.human_id LEFT JOIN human_data s ON s.human_id = h.human_id LEFT JOIN human_data c ON c.human_id = h.human_id WHERE g.data_id = 3 AND s.data_id = 6 AND c.data_id = 25 GROUP BY g.value , s.value , c.value; +-------------------+-------+----------+-------+ | COUNT(h.human_id) | value | value | value | +-------------------+-------+----------+-------+ ... | 14 | M | New York | Blue | | 13 | M | New York | Brown | | 7 | M | New York | Green | | 5 | M | New York | Hazel | | 7 | M | Oregon | Blue | | 8 | M | Oregon | Brown | | 9 | M | Oregon | Green | | 4 | M | Oregon | Hazel | +-------------------+-------+------------+-------+ 41 rows in set (0.14 sec)
29.
29 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE VIEW matrix.matrix_view AS SELECT SQL_NO_CACHE COUNT(h.human_id) , g.value as gender, s.value as state , c.value as hair_color FROM human h LEFT JOIN human_data g ON g.human_id = h.human_id LEFT JOIN human_data s ON s.human_id = h.human_id LEFT JOIN human_data c ON c.human_id = h.human_id WHERE g.data_id = 3 AND s.data_id = 6 AND c.data_id = 25 GROUP BY g.value , s.value , c.value; +-------------------+--------+------------+------------+ | COUNT(h.human_id) | gender | state | hair_color | +-------------------+--------+------------+------------+ ..... | 14 | M | New York | Blue | | 13 | M | New York | Brown | | 7 | M | New York | Green | | 5 | M | New York | Hazel | | 7 | M | Oregon | Blue | | 8 | M | Oregon | Brown | | 9 | M | Oregon | Green | | 4 | M | Oregon | Hazel | +-------------------+--------+------------+------------+ 41 rows in set (0.04 sec) Solutions: A View
30.
30 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. DELIMITER // CREATE PROCEDURE build_the_matrix() BEGIN SELECT MAX(date_updated) INTO @matrix_date FROM the_matrix ; REPLACE INTO the_matrix SELECT NULL, h.human_id, hd1.value as 'First Name' , hd2.value as 'Last Name', hd13.value as alias , hd3.value as 'Gender' , hd4.value as 'Address' , hd5.value as 'City' , hd6.value as 'State' , hd7.value as 'ZipCode' , hd17.value as dob_month, hd18.value as dob_day, hd19.value as dob_year, hd23.value as hair_color, hd24.value as hair_style, hd25.value as eye_color, hdd.date_updated FROM human h INNER JOIN human_data hdd ON h.human_id = hdd.human_id INNER JOIN human_data hd1 ON h.human_id = hd1.human_id AND hd1.data_id = 1 INNER JOIN human_data hd2 ON h.human_id = hd2.human_id AND hd2.data_id = 2 LEFT JOIN human_data hd3 ON h.human_id = hd3.human_id AND hd3.data_id = 3 LEFT JOIN human_data hd4 ON h.human_id = hd4.human_id AND hd4.data_id = 4 LEFT JOIN human_data hd5 ON h.human_id = hd5.human_id AND hd5.data_id = 5 LEFT JOIN human_data hd6 ON h.human_id = hd6.human_id AND hd6.data_id = 6 LEFT JOIN human_data hd7 ON h.human_id = hd7.human_id AND hd7.data_id = 7 LEFT JOIN human_data hd13 ON h.human_id = hd13.human_id AND hd13.data_id = 13 LEFT JOIN human_data hd16 ON h.human_id = hd16.human_id AND hd16.data_id = 16 LEFT JOIN human_data hd17 ON h.human_id = hd17.human_id AND hd17.data_id = 17 LEFT JOIN human_data hd18 ON h.human_id = hd18.human_id AND hd18.data_id = 18 LEFT JOIN human_data hd19 ON h.human_id = hd19.human_id AND hd19.data_id = 19 LEFT JOIN human_data hd20 ON h.human_id = hd20.human_id AND hd20.data_id = 20 LEFT JOIN human_data hd21 ON h.human_id = hd21.human_id AND hd21.data_id = 21 LEFT JOIN human_data hd23 ON h.human_id = hd23.human_id AND hd23.data_id = 23 LEFT JOIN human_data hd24 ON h.human_id = hd24.human_id AND hd24.data_id = 24 LEFT JOIN human_data hd25 ON h.human_id = hd25.human_id AND hd25.data_id = 25 WHERE hdd.date_updated >= @matrix_date ; END // DELIMITER ; Solutions: Populating Tables
31.
31 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE EVENT build_the_matrix ON SCHEDULE EVERY 2 MINUTE COMMENT 'It is the question that drives us' DO CALL build_the_matrix(); mysql> show events; Db: matrix Name: build_the_matrix Definer: root@localhost Time zone: SYSTEM Type: RECURRING Execute at: NULL Interval value: 2 Interval field: MINUTE Starts: 2012-05-23 23:09:24 Ends: NULL Status: ENABLED Originator: 1 character_set_client: utf8 collation_connection: utf8_general_ci Database Collation: latin1_swedish_ci mysql> select * from information_schema.eventsG Solutions: Events
32.
32 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Triggers delimiter | CREATE TRIGGER some_trigger BEFORE INSERT ON Table_A FOR EACH ROW BEGIN INSERT INTO TEST_B SET a2 = NEW.a1; DELETE FROM TEST_C WHERE a3 = NEW.a1; UPDATE TEST_D SET b4 = b4 + 1 WHERE a4 = NEW.a1; END; | delimiter ; mysql> show triggers; Solutions: Populating Tables
33.
33 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Transform--- – This is your chance to clean data – Enable the special needs of others – Rectify Problems – Know your data.... • Events • Procedures • Triggers • Scripts Solutions: ExtractTransformLoad ETL
34.
34 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. mysql> SELECT SQL_no_cache COUNT(m.human_id) as Amount , UPPER(m.gender) as gender FROM human h INNER JOIN the_matrix m ON m.human_id = h.human_id INNER JOIN pod p ON p.pod_id = h.pod_id INNER JOIN structure s ON s.structure_id = p.structure_id WHERE s.date_online BETWEEN 19850101000000 AND 19890101000000 GROUP BY m.gender; +--------+--------+ | Amount | gender | +--------+--------+ | 23783 | F | | 35472 | M | +--------+--------+ 2 rows in set (2.08 sec) Solutions: Reporting
35.
35 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. First start with our lowest common denominator beyond your root table. CREATE TABLE `structure` ( `structure_id` int(5) unsigned NOT NULL DEFAULT '0', `latitude` float(10,6) DEFAULT NULL, `longitude` float(10,6) DEFAULT NULL, `date_online` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00', `levels` int(5) unsigned DEFAULT '0', `max_pods` int(5) unsigned DEFAULT '0', `ip` INT UNSIGNED NOT NULL, `communication_protocol` enum('OFF','EMAIL','FTP','BATCH POST','BATCH GET','REAL TIME GET','TRACKTAGS','FTP-SSL','REAL TIME POST','CUSTOM','POST') DEFAULT NULL, PRIMARY KEY (`structure_id`), KEY `date_online` (`date_online`) ) ENGINE=InnoDB DEFAULT Solutions: Reporting
36.
36 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `report_structure_24hour` ( `report_structure_24hour_id` int(5) unsigned NOT NULL AUTO_INCREMENT, `totals` int(5) unsigned DEFAULT '0', `gender` varchar(15) DEFAULT NULL, `date_online` date NOT NULL DEFAULT '0000-00-00', PRIMARY KEY (`report_structure_24hour_id`), KEY `date_online` (`date_online`) ) ENGINE=MEMORY; REPLACE INTO report_structure_24hour SELECT SQL_no_cache NULL, COUNT(m.human_id) as Amount , UPPER(m.gender) as gender , DATE_FORMAT(s.date_online, '%Y-%m-%d %h ') as date FROM human h INNER JOIN the_matrix m ON m.human_id = h.human_id INNER JOIN pod p ON p.pod_id = h.pod_id INNER JOIN structure s ON s.structure_id = p.structure_id WHERE s.date_online >= NOW() - interval 24 hour GROUP BY m.gender, date; Solutions: Reporting
37.
37 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `report_structure_perday` ( `report_structure_perday_id` int(5) unsigned NOT NULL AUTO_INCREMENT, `totals` int(5) unsigned DEFAULT '0', `gender` varchar(15) DEFAULT NULL, `date_online` date NOT NULL DEFAULT '0000-00-00', PRIMARY KEY (`report_structure_perday_id`), KEY `date_online` (`date_online`) ) ENGINE=InnoDB; REPLACE INTO report_structure_perday SELECT SQL_no_cache NULL, COUNT(m.human_id) as Amount , UPPER(m.gender) as gender , DATE_FORMAT(s.date_online, '%Y-%m-%d') as date FROM human h INNER JOIN the_matrix m ON m.human_id = h.human_id INNER JOIN pod p ON p.pod_id = h.pod_id INNER JOIN structure s ON s.structure_id = p.structure_id WHERE s.date_online >= NOW() - interval 1 week GROUP BY m.gender, date; Solutions: Reporting
38.
38 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `report_structure_permonth` ( `report_structure_permonth_id` int(5) unsigned NOT NULL AUTO_INCREMENT, `totals` int(5) unsigned DEFAULT '0', `gender` varchar(15) DEFAULT NULL, `date_online` date NOT NULL DEFAULT '0000-00-00', PRIMARY KEY (`report_structure_permonth_id`), KEY `date_online` (`date_online`) ) ENGINE=InnoDB; REPLACE INTO report_structure_permonth SELECT SQL_no_cache NULL, SUM(totals)as Amount, gender , DATE_FORMAT(date_online, '%Y-%m-00') as date FROM report_structure_perday WHERE date_online >= NOW() - interval 2 month GROUP BY gender, date; Solutions: Reporting
39.
39 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. CREATE TABLE `report_structure_per_year` ( `report_structure_year_id` int(5) unsigned NOT NULL AUTO_INCREMENT, `totals` int(5) unsigned DEFAULT '0', `gender` varchar(15) DEFAULT NULL, `date_online` int(5) unsigned DEFAULT '0000', PRIMARY KEY (`report_structure_year_id`), KEY `date_online` (`date_online`) ) ENGINE=InnoDB; REPLACE INTO report_structure_per_year SELECT SQL_no_cache NULL, SUM(totals)as Amount, gender , DATE_FORMAT(date_online, '%Y') as date FROM report_structure_permonth WHERE date_online >= NOW() - interval 2 YEAR GROUP BY gender, date; Solutions: Reporting
40.
40 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Populate tables with : DELIMITER // CREATE PROCEDURE reporting_perday() BEGIN REPLACE INTO report_structure_perday SELECT SQL_no_cache NULL, COUNT(m.human_id) as Amount , UPPER(m.gender) as gender , DATE_FORMAT(s.date_online, '%Y-%m-%d') as date FROM human h INNER JOIN the_matrix m ON m.human_id = h.human_id INNER JOIN pod p ON p.pod_id = h.pod_id INNER JOIN structure s ON s.structure_id = p.structure_id WHERE s.date_online >= NOW() - interval 1 week GROUP BY m.gender, date; END // DELIMITER ; CREATE EVENT reporting_perday ON SCHEDULE EVERY 24 HOUR COMMENT 'It is the question that drives us' DO CALL reporting_perday(); Solutions: Reporting
41.
41 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Populate tables with : DELIMITER // CREATE PROCEDURE reporting_permonth() BEGIN REPLACE INTO report_structure_permonth SELECT SQL_no_cache NULL, SUM(totals)as Amount, gender , DATE_FORMAT(date_online, '%Y-%m-00') as date FROM report_structure_perday WHERE date_online >= NOW() - interval 2 month GROUP BY gender, date; END // DELIMITER ; CREATE EVENT reporting_permonth ON SCHEDULE EVERY 2 WEEK COMMENT 'It is the question that drives us' DO CALL reporting_permonth(); Solutions: Reporting
42.
42 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Populate tables with : DELIMITER // CREATE PROCEDURE reporting_peryear() BEGIN REPLACE INTO report_structure_per_year SELECT SQL_no_cache NULL, SUM(totals)as Amount, gender , DATE_FORMAT(date_online, '%Y') as date FROM report_structure_permonth WHERE date_online >= NOW() - interval 2 YEAR GROUP BY gender, date; END // DELIMITER ; CREATE EVENT reporting_peryear ON SCHEDULE EVERY 2 MONTH COMMENT 'It is the question that drives us' DO CALL reporting_peryear(); Solutions: Reporting
43.
43 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. It all comes down to who do you want to be? The One or just someone ? The Solutions are up to you. http://images1.wikia.nocookie.net/__cb20070215050459/uncyclopedia/images/7/75/Neo.JPG The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix. Solutions - Solution www.amazon.com/ANDERSON-REEVES-Action-Figure-Accessories/dp/B003YR64HY The Matrix copyright © 1999 - 2012, Warner Bros. Warner Bros. is the owner of all copyrights and trademark rights in The Matrix.
44.
44 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved. Resources http://code.google.com/p/flexviews/ http://code.google.com/p/flexviews/ http://code.google.com/p/flexviews/ http://code.google.com/p/flexviews/ http://code.google.com/p/flexviews/ http://code.google.com/p/flexviews/
45.
45 Copyright ©
2012, Oracle and/or its affiliates. All rights reserved.
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