MySQL ON DUPLICATE KEY UPDATE 傻瓜应用教程

背景：最近有一个算数据的脚本几天都没出数据，而且手动跑起来的时候服务器立马卡机。目标是优化！

[work(2)@dm02 19:02:21 ~]$ nohup python twitter_click_stat.py 2012-11-02 1 >/tmp/click.log 2>&1 &

[3] 25862
[work(3)@dm02 19:05:07 ~/GALAXY_RELEASE/release]$ kill 25862

3分钟吃力7G内存

脚本流程：
1.load mysql表全部数据，加到MAP中（ 2000W行的数据）
2.查HIVE表，如果twitter_id在MAP中则（赋值或+=），不在则创建类并赋值
MYSQL 表结构：
create table t_walrus_click_stat(
    twitter_id int(11) not null,
    goods_id int(11) not null default 0,
    oneday_click SMALLINT(10) unsigned not null default 0,
    threeday_click MEDIUMINT(10) unsigned not null default 0,
    sevenday_click MEDIUMINT(10) unsigned not null default 0,
    all_click int(11) unsigned not null default 0,
    oneday_incr smallint(10) comment "增量" not null default 0,
    last_clicktime timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
    primary key(twitter_id)
)ENGINE=Innodb DEFAULT CHARACTER SET utf8

优化点：

1.不把表都load进来：计算当天有点击的推，然后取这部分推的一天点击（计算增量）/所有

2.能不能在插入的时候用update 计算一天增量和全部点击 == 靠谱！！技术？？？

MYSQL =====TEST

mysql> show create table test;| test | CREATE TABLE `test` (
`id` int(11) NOT NULL DEFAULT '0',
`name` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 |
1 row in set (0.08 sec)

mysql> alter table test add unique (`id`);
Query OK, 0 rows affected (0.74 sec)
Records: 0 Duplicates: 0 Warnings: 0

mysql> show create table test;
| test | CREATE TABLE `test` (
`id` int(11) NOT NULL DEFAULT '0',
`name` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `id` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 |
1 row in set (0.00 sec)

mysql> select * from test;
+----+-----------+
| id | name      |
+----+-----------+
| 1 | wang      |
| 2 | xia       |
| 3 | wang-load |
| 4 | xia-load |
+----+-----------+
4 rows in set (0.00 sec)

mysql> alter table test add column `click` int(11) NOT NULL DEFAULT '0';
Query OK, 4 rows affected (0.44 sec)
Records: 4 Duplicates: 0 Warnings: 0

mysql> update test set click=id;
Query OK, 4 rows affected (0.04 sec)
Rows matched: 4 Changed: 4 Warnings: 0

mysql> select * from test;
+----+-----------+-------+
| id | name      | click |
+----+-----------+-------+
| 1 | wang      |     1 |
| 2 | xia       |     2 |
| 3 | wang-load |     3 |
| 4 | xia-load |     4 |
+----+-----------+-------+
4 rows in set (0.00 sec)

mysql> insert into test(id,name,click) values (1,'wang',101) ON DUPLICATE KEY UPDATE click=click+values(click);Query OK, 2 rows affected (0.00 sec)

mysql> select * from test;
+----+-----------+-------+
| id | name      | click |
+----+-----------+-------+
| 1 | wang      |   102 |
| 2 | xia       |     2 |
| 3 | wang-load |     3 |
| 4 | xia-load |     4 |
+----+-----------+-------+

mysql> alter table test add column `onn_day` int(11) NOT NULL DEFAULT '100';
Query OK, 4 rows affected (0.29 sec)
Records: 4 Duplicates: 0 Warnings: 0

mysql> select * from test;
+----+-----------+-------+---------+
| id | name      | click | onn_day |
+----+-----------+-------+---------+
| 1 | wang      |   102 |     100 |
| 2 | xia       |     2 |     100 |
| 3 | wang-load |     3 |     100 |
| 4 | xia-load |     4 |     100 |
+----+-----------+-------+---------+

mysql> insert into test(id,name,click,onn_day) values (1,'wang',100,150) ON DUPLICATE KEY UPDATE click=click+values(click); == update 指定的字段才会更新

Query OK, 2 rows affected (0.07 sec)

mysql> select * from test;
+----+-----------+-------+---------+
| id | name      | click | onn_day |
+----+-----------+-------+---------+
| 1 | wang      |   202 |     100 |
| 2 | xia       |     2 |     100 |
| 3 | wang-load |     3 |     100 |
| 4 | xia-load |     4 |     100 |
+----+-----------+-------+---------+
4 rows in set (0.00 sec)

mysql> insert into test(id,name,click,onn_day) values (1,'wang',50,0) ON DUPLICATE KEY UPDATE click=click+values(click),onn_day=onn_day-values(click); == 好像是可以了
Query OK, 2 rows affected (0.04 sec)

mysql> select * from test;+----+-----------+-------+---------+
| id | name      | click | onn_day |
+----+-----------+-------+---------+
| 1 | wang      |   252 |      50 |
| 2 | xia       |     2 |     100 |
| 3 | wang-load |     3 |     100 |
| 4 | xia-load |     4 |     100 |
+----+-----------+-------+---------+
4 rows in set (0.00 sec)

mysql>

替换成自己用的：
insert into t_walrus_click_stat(twitter_id,goods_id,oneday_click,threeday_click,sevenday_click,all_c lick,oneday_incr) values (),(),(),() ON DUPLICATE KEY UPDATE oneday_click=values(oneday_click),threeday_click=values(threeday_click ),sevenday_click =values(sevenday_click ),all_click=all_click+values(oneday_click),oneday_incr=values(oneday_click)-oneday_click;

mysql> select * from t_walrus_click_stat;
twitter_id | goods_id | oneday_click | threeday_click | sevenday_click | all_click | oneday_incr | last_clicktime      |
| 493925040 |        0 |         9286 |          21348 |          43676 |     67796 |        1003 | 2012-11-07 14:35:53 |
| 499177366 |        0 |        10134 |          23417 |          46144 |     75628 |        1382 | 2012-11-07 14:35:53 |
| 518431643 |        0 |         2099 |           6530 |          16786 |     66398 |         356 | 2012-11-07 14:35:53 |
| 521260243 |        0 |         9282 |          25611 |          48083 |     80877 |       -2683 | 2012-11-07 14:35:53 |
| 522773775 |        0 |         4652 |          20168 |          42072 |     67077 |       -3707 | 2012-11-07 14:35:53 |
| 527912329 |        0 |         4532 |          14810 |          39302 |     76832 |        -286 | 2012-11-07 14:35:53 |
| 536369413 |        0 |         3602 |          13124 |          29901 |     79792 |       -3322 | 2012-11-07 14:35:53 |
| 538737288 |        0 |         4800 |          13537 |          38469 |     83509 |        1122 | 2012-11-07 14:35:53 |
| 546735988 |        0 |        11573 |          35490 |          78441 |    115983 |         709 | 2012-11-07 14:35:53 |
| 547904288 |        0 |         8029 |          18536 |          45436 |     78306 |        4145 | 2012-11-07 14:35:53 |
+------------+----------+--------------+----------------+----------------+-----------+-------------+---------------------+
10 rows in set (0.00 sec)

mysql> insert into t_walrus_click_stat(twitter_id,goods_id,oneday_click,threeday_click,sevenday_click,all_click,oneday_incr) values (493925040,0,1000,25000,53000,0,0),(499177366,0,1000,25000,53000,0,0),(547904289,0,100,100,100,0,0) ON DUPLICATE KEY UPDATE oneday_click=values(oneday_click),threeday_click=values(threeday_click ),sevenday_click =values(sevenday_click ),all_click=all_click+values(oneday_click),oneday_incr=oneday_click-values(oneday_click);Query OK, 5 rows affected (0.08 sec)
Records: 3 Duplicates: 2 Warnings: 0

mysql> select * from t_walrus_click_stat;twitter_id | goods_id | oneday_click | threeday_click | sevenday_click | all_click | oneday_incr | last_clicktime      |+------------+----------+--------------+----------------+----------------+-----------+-------------+---------------------+
| 493925040 |        0 |         1000 |          25000 |          53000 |     68796 |           0 | 2012-11-07 14:35:53 |
| 499177366 |        0 |         1000 |          25000 |          53000 |     76628 |           0 | 2012-11-07 14:35:53 |
| 518431643 |        0 |         2099 |           6530 |          16786 |     66398 |         356 | 2012-11-07 14:35:53 |
| 521260243 |        0 |         9282 |          25611 |          48083 |     80877 |       -2683 | 2012-11-07 14:35:53 |
| 522773775 |        0 |         4652 |          20168 |          42072 |     67077 |       -3707 | 2012-11-07 14:35:53 |
| 527912329 |        0 |         4532 |          14810 |          39302 |     76832 |        -286 | 2012-11-07 14:35:53 |
| 536369413 |        0 |         3602 |          13124 |          29901 |     79792 |       -3322 | 2012-11-07 14:35:53 |
| 538737288 |        0 |         4800 |          13537 |          38469 |     83509 |        1122 | 2012-11-07 14:35:53 |
| 546735988 |        0 |        11573 |          35490 |          78441 |    115983 |         709 | 2012-11-07 14:35:53 |
| 547904288 |        0 |         8029 |          18536 |          45436 |     78306 |        4145 | 2012-11-07 14:35:53 |
| 547904289 |        0 |          100 |            100 |            100 |         0 |           0 | 2012-11-07 14:39:10 |
+------------+----------+--------------+----------------+----------------+-----------+-------------+---------------------+
11 rows in set (0.00 sec)

2个问题：
1.其他的字段都OK，只有oneday_incr 为0。怀疑是 UPDATE oneday_click=values(oneday_click),threeday_click=values(threeday_click ),sevenday_click =values(sevenday_click ),all_click=all_click+values(oneday_click),oneday_incr=oneday_click-values(oneday_click); 先oneday_click=values(oneday_click)赋值了，所有再相减必然是0

2. 对应以前表里没有的数据所有字段都要在SQL中补全。all_click | oneday_incr 是 sevenday_click,oneday_click,

insert into t_walrus_click_stat(twitter_id,goods_id,oneday_click,threeday_click,sevenday_click,all_click,oneday_incr) values (493925040,0,10000,25000,53000,0,0),(499177366,0,10000,25000,53000,0,0),(547904289,0,100,100,100,0,0) ON DUPLICATE KEY UPDATE oneday_incr=cast(cast(values(oneday_click) AS SIGNED)-cast(oneday_click AS SIGNED) AS SIGNED),oneday_click=values(oneday_click),threeday_click=values(threeday_click ),sevenday_click =values(sevenday_click ),all_click=all_click+values(oneday_click);
Query OK, 5 rows affected (0.00 sec)
Records: 3 Duplicates: 2 Warnings: 0

mysql>
mysql> select * from t_walrus_click_stat;+------------+----------+--------------+----------------+----------------+-----------+-------------+---------------------+| twitter_id | goods_id | oneday_click | threeday_click | sevenday_click | all_click | oneday_incr | last_clicktime      |+------------+----------+--
| 493925040 |        0 |        10000 |          25000 |          53000 |     77796 |         714 | 2012-11-07 14:41:46 |
| 499177366 |        0 |        10000 |          25000 |          53000 |     85628 |        -134 | 2012-11-07 14:41:46 |
| 518431643 |        0 |         2099 |           6530 |          16786 |     66398 |         356 | 2012-11-07 14:41:46 |
| 521260243 |        0 |         9282 |          25611 |          48083 |     80877 |       -2683 | 2012-11-07 14:41:46 |
| 522773775 |        0 |         4652 |          20168 |          42072 |     67077 |       -3707 | 2012-11-07 14:41:46 |
| 527912329 |        0 |         4532 |          14810 |          39302 |     76832 |        -286 | 2012-11-07 14:41:46 |
| 536369413 |        0 |         3602 |          13124 |          29901 |     79792 |       -3322 | 2012-11-07 14:41:46 |
| 538737288 |        0 |         4800 |          13537 |          38469 |     83509 |        1122 | 2012-11-07 14:41:46 |
| 546735988 |        0 |        11573 |          35490 |          78441 |    115983 |         709 | 2012-11-07 14:41:46 |
| 547904288 |        0 |         8029 |          18536 |          45436 |     78306 |        4145 | 2012-11-07 14:41:46 |
| 547904289 |        0 |          100 |            100 |            100 |         0 |           0 | 2012-11-07 16:50:49 |
+------------+----------+--------------+----------------+----------------+-----------+-------------+---------------------+
11 rows in set (0.03 sec)

OK。搞定！！