时间2014-05-06
作者itnihao
邮箱itnihao@qq.com
博客http://www.itnihao.com
如需引用,请注明以上信息,谢谢合作
前言,使用zabbix最大的瓶颈在于数据库,维护好zabbix的数据存储,告警,即能够很好的应用zabbix去构建监控系统。本文所讲的正是数据存储部分。本文所针对的用户,需要对zabbix有一定概念,对MySQL熟悉,掌握存储过程的书写,对zabbix数据库字段熟悉
本部分内容来自本人的新书,作为对新书分表章节的部分补充,书名叫《zabbix监控系统》,将于2014-06与读者面市。书的章节目录已经放在github上面
https://github.com/itnihao/zabbix-book/blob/master/README.md
Zabbix中历史数据的
zabbix对数据将数据存于数据库,其主要将历史数据存于history和trends的2个表中,如下
1)历史数据的表
2)警告日志数据的表
History表结构
mysql> show create table history/G;*************************** 1. row *************************** Table: historyCreate Table: CREATE TABLE `history` (`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` double(16,4) NOT NULL DEFAULT '0.0000',`ns` int(11) NOT NULL DEFAULT '0',KEY `history_1` (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_str/G; Table: history_strCreate Table: CREATE TABLE `history_str` (`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` varchar(255) NOT NULL DEFAULT '',`ns` int(11) NOT NULL DEFAULT '0',KEY `history_str_1` (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_str_sync /G;*************************** 1. row *************************** Table: history_str_syncCreate Table: CREATE TABLE `history_str_sync` (`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,`nodeid` int(11) NOT NULL,`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` varchar(255) NOT NULL DEFAULT '',`ns` int(11) NOT NULL DEFAULT '0',PRIMARY KEY (`id`),KEY `history_str_sync_1` (`nodeid`,`id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_sync /G;*************************** 1. row *************************** Table: history_syncCreate Table: CREATE TABLE `history_sync` (`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,`nodeid` int(11) NOT NULL,`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` double(16,4) NOT NULL DEFAULT '0.0000',`ns` int(11) NOT NULL DEFAULT '0',PRIMARY KEY (`id`),KEY `history_sync_1` (`nodeid`,`id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_text /G;*************************** 1. row *************************** Table: history_textCreate Table: CREATE TABLE `history_text` (`id` bigint(20) unsigned NOT NULL,`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` text NOT NULL,`ns` int(11) NOT NULL DEFAULT '0',PRIMARY KEY (`id`),UNIQUE KEY `history_text_2` (`itemid`,`id`),KEY `history_text_1` (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_log/G;*************************** 1. row *************************** Table: history_logCreate Table: CREATE TABLE `history_log` (`id` bigint(20) unsigned NOT NULL,`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`timestamp` int(11) NOT NULL DEFAULT '0',`source` varchar(64) NOT NULL DEFAULT '',`severity` int(11) NOT NULL DEFAULT '0',`value` text NOT NULL,`logeventid` int(11) NOT NULL DEFAULT '0',`ns` int(11) NOT NULL DEFAULT '0',PRIMARY KEY (`id`),UNIQUE KEY `history_log_2` (`itemid`,`id`),KEY `history_log_1` (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_uint /G;*************************** 1. row *************************** Table: history_uintCreate Table: CREATE TABLE `history_uint` (`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` bigint(20) unsigned NOT NULL DEFAULT '0',`ns` int(11) NOT NULL DEFAULT '0',KEY `history_uint_1` (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table history_uint_sync/G;*************************** 1. row *************************** Table: history_uint_syncCreate Table: CREATE TABLE `history_uint_sync` (`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,`nodeid` int(11) NOT NULL,`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` bigint(20) unsigned NOT NULL DEFAULT '0',`ns` int(11) NOT NULL DEFAULT '0',PRIMARY KEY (`id`),KEY `history_uint_sync_1` (`nodeid`,`id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8
trends表结构
mysql> show create table trends/G;*************************** 1. row *************************** Table: trendsCreate Table: CREATE TABLE `trends` (`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`num` int(11) NOT NULL DEFAULT '0',`value_min` double(16,4) NOT NULL DEFAULT '0.0000',`value_avg` double(16,4) NOT NULL DEFAULT '0.0000',`value_max` double(16,4) NOT NULL DEFAULT '0.0000',PRIMARY KEY (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8mysql> show create table trends_uint/G;*************************** 1. row *************************** Table: trends_uintCreate Table: CREATE TABLE `trends_uint` (`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`num` int(11) NOT NULL DEFAULT '0',`value_min` bigint(20) unsigned NOT NULL DEFAULT '0',`value_avg` bigint(20) unsigned NOT NULL DEFAULT '0',`value_max` bigint(20) unsigned NOT NULL DEFAULT '0',PRIMARY KEY (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8
housekeeper表结构
mysql> show create table housekeeper/G;*************************** 1. row *************************** Table: housekeeperCreate Table: CREATE TABLE `housekeeper` (`housekeeperid` bigint(20) unsigned NOT NULL,`tablename` varchar(64) NOT NULL DEFAULT '',`field` varchar(64) NOT NULL DEFAULT '',`value` bigint(20) unsigned NOT NULL,PRIMARY KEY (`housekeeperid`)) ENGINE=InnoDB DEFAULT CHARSET=utf8
尽管将housekeeper功能已经关闭,但zabbix-server和WEB前端仍然会记录数据到housekeeper表,这里为了防止写入数据,将其表的引擎设置为BLACKHOLE,使其不可写。
mysql>ALTER TABLE housekeeper ENGINE = BLACKHOLE;
mysql> show create table housekeeper/G;*************************** 1. row *************************** Table: housekeeperCreate Table: CREATE TABLE `housekeeper` (`housekeeperid` bigint(20) unsigned NOT NULL,`tablename` varchar(64) NOT NULL DEFAULT '',`field` varchar(64) NOT NULL DEFAULT '',`value` bigint(20) unsigned NOT NULL,PRIMARY KEY (`housekeeperid`)) ENGINE=BLACKHOLE DEFAULT CHARSET=utf8
查看索引
mysql> show index from history/G;
如下表所示
改变history_text表结构
mysql> show create table history_text/G;
*************************** 1. row ***************************
Table: history_text
Create Table: CREATE TABLE `history_text` (
`id` bigint(20) unsigned NOT NULL,
`itemid` bigint(20) unsigned NOT NULL,
`clock` int(11) NOT NULL DEFAULT '0',
`value` text NOT NULL,
`ns` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
UNIQUE KEY `history_text_2` (`itemid`,`id`),
KEY `history_text_1` (`itemid`,`clock`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
mysql> Alter table history_text drop primary key, add index (id), drop index history_text_2, add index history_text_2 (itemid, id);
mysql> show create table history_text/G;
*************************** 1. row ***************************
Table: history_text
Create Table: CREATE TABLE `history_text` (
`id` bigint(20) unsigned NOT NULL,
`itemid` bigint(20) unsigned NOT NULL,
`clock` int(11) NOT NULL DEFAULT '0',
`value` text NOT NULL,
`ns` int(11) NOT NULL DEFAULT '0',
KEY `history_text_1` (`itemid`,`clock`),
KEY `id` (`id`), #原来的PRIMARY KEY
KEY `history_text_2` (`itemid`,`id`) #原来的UNIQUE KEY
) ENGINE=InnoDB DEFAULT CHARSET=utf8
改变history_log表结构
mysql> show create table history_log/G;
*************************** 1. row ***************************
Table: history_log
Create Table: CREATE TABLE `history_log` (
`id` bigint(20) unsigned NOT NULL,
`itemid` bigint(20) unsigned NOT NULL,
`clock` int(11) NOT NULL DEFAULT '0',
`timestamp` int(11) NOT NULL DEFAULT '0',
`source` varchar(64) NOT NULL DEFAULT '',
`severity` int(11) NOT NULL DEFAULT '0',
`value` text NOT NULL,
`logeventid` int(11) NOT NULL DEFAULT '0',
`ns` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
UNIQUE KEY `history_log_2` (`itemid`,`id`),
KEY `history_log_1` (`itemid`,`clock`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8
mysql> Alter table history_log drop primary key, add index (id), drop index history_log_2, add index history_log_2 (itemid, id);
mysql> show create table history_log/G;
*************************** 1. row ***************************
Table: history_log
Create Table: CREATE TABLE `history_log` (
`id` bigint(20) unsigned NOT NULL,
`itemid` bigint(20) unsigned NOT NULL,
`clock` int(11) NOT NULL DEFAULT '0',
`timestamp` int(11) NOT NULL DEFAULT '0',
`source` varchar(64) NOT NULL DEFAULT '',
`severity` int(11) NOT NULL DEFAULT '0',
`value` text NOT NULL,
`logeventid` int(11) NOT NULL DEFAULT '0',
`ns` int(11) NOT NULL DEFAULT '0',
KEY `history_log_1` (`itemid`,`clock`),
KEY `id` (`id`), #原来的PRIMARY KEY
KEY `history_log_2` (`itemid`,`id`) #原来的UNIQUE KEY
) ENGINE=InnoDB DEFAULT CHARSET=utf8
表分区的过程
防盗链,来自博客http://www.itnihao.com
创建存储过程
分区创建的存储过程
DELIMITER $$
CREATEPROCEDURE`partition_create`(SCHEMANAMEVARCHAR(64),TABLENAMEVARCHAR(64),PARTITIONNAMEVARCHAR(64),CLOCKINT)
BEGIN
/*
SCHEMANAME = The DB schema in which to make changes
TABLENAME = The table with partitions to potentially delete
PARTITIONNAME = The name of the partition to create
*/
/*
Verify that the partition does not already exist
*
DECLARERETROWSINT;
SELECTCOUNT(1)INTORETROWS
FROMinformation_schema.partitions
WHEREtable_schema=SCHEMANAMEANDTABLE_NAME=TABLENAMEANDpartition_name=PARTITIONNAME;
IFRETROWS=0THEN
/*
1. Print a message indicating that a partition was created
2. Create the SQL to create the partition
3. Execute the SQL from #2.
*/
SELECTCONCAT("partition_create(",SCHEMANAME,",",TABLENAME,",",PARTITIONNAME,",",CLOCK,")")ASmsg;
SET@SQL=CONCAT('ALTER TABLE ',SCHEMANAME,'.',TABLENAME,' ADD PARTITION (PARTITION ',PARTITIONNAME,' VALUES LESS THAN (',CLOCK,'));');
PREPARESTMTFROM@SQL;
EXECUTESTMT;
DEALLOCATEPREPARESTMT;
ENDIF;
END$$
DELIMITER ;
分区删除的存储过程
DELIMITER $$
CREATEPROCEDURE`partition_drop`(SCHEMANAMEVARCHAR(64),TABLENAMEVARCHAR(64),DELETE_BELOW_PARTITION_DATEBIGINT)
BEGIN
/*
SCHEMANAME = The DB schema in which to make changes
TABLENAME = The table with partitions to potentially delete
DELETE_BELOW_PARTITION_DATE = Delete any partitions with names that are dates older than this one (yyyy-mm-dd)
*/
DECLAREdoneINTDEFAULTFALSE;
DECLAREdrop_part_nameVARCHAR(16);
/*
Get a list of all the partitions that are older than the date
in DELETE_BELOW_PARTITION_DATE. All partitions are prefixed with
a "p", so use SUBSTRING TO get rid of that character.
*/
DECLAREmyCursor CURSORFOR
SELECTpartition_name
FROMinformation_schema.partitions
WHEREtable_schema=SCHEMANAMEANDTABLE_NAME=TABLENAMEANDCAST(SUBSTRING(partition_nameFROM2)ASUNSIGNED) DECLARECONTINUE HANDLERFORNOTFOUNDSETdone=TRUE; /* Create the basics for when we need to drop the partition. Also, create @drop_partitions to hold a comma-delimited list of all partitions that should be deleted. */ SET@alter_header=CONCAT("ALTER TABLE ",SCHEMANAME,".",TABLENAME," DROP PARTITION "); SET@drop_partitions=""; /* Start looping through all the partitions that are too old. */ OPENmyCursor; read_loop: LOOP FETCH myCursorINTOdrop_part_name; IFdoneTHEN LEAVE read_loop; ENDIF; SET@drop_partitions=IF(@drop_partitions="",drop_part_name,CONCAT(@drop_partitions,",",drop_part_name)); ENDLOOP; IF@drop_partitions !=""THEN /* 1. Build the SQL to drop all the necessary partitions. 2. Run the SQL to drop the partitions. 3. Print out the table partitions that were deleted. */ SET@full_sql=CONCAT(@alter_header,@drop_partitions,";"); PREPARESTMTFROM@full_sql; EXECUTESTMT; DEALLOCATEPREPARESTMT; SELECTCONCAT(SCHEMANAME,".",TABLENAME)AS`table`,@drop_partitionsAS`partitions_deleted`; ELSE /* No partitions are being deleted, so print out "N/A" (Not applicable) to indicatethat no changes were made. */ SELECTCONCAT(SCHEMANAME,".",TABLENAME)AS`table`,"N/A"AS`partitions_deleted`; ENDIF; END$$ DELIMITER ; 分区维护的存储过程 DELIMITER $$ CREATEPROCEDURE`partition_maintenance`(SCHEMA_NAMEVARCHAR(32),TABLE_NAMEVARCHAR(32),KEEP_DATA_DAYSINT,HOURLY_INTERVALINT,CREATE_NEXT_INTERVALSINT) BEGIN DECLAREOLDER_THAN_PARTITION_DATEVARCHAR(16); DECLAREPARTITION_NAMEVARCHAR(16); DECLARELESS_THAN_TIMESTAMPINT; DECLARECUR_TIMEINT; CALLpartition_verify(SCHEMA_NAME,TABLE_NAME,HOURLY_INTERVAL); SETCUR_TIME=UNIX_TIMESTAMP(DATE_FORMAT(NOW(),'%Y-%m-%d 00:00:00')); IFDATE(NOW())='2014-04-01'THEN SETCUR_TIME=UNIX_TIMESTAMP(DATE_FORMAT(DATE_ADD(NOW(),INTERVAL1DAY),'%Y-%m-%d 00:00:00')); ENDIF; SET@__interval=1; create_loop: LOOP IF@__interval>CREATE_NEXT_INTERVALSTHEN LEAVE create_loop; ENDIF; SETLESS_THAN_TIMESTAMP=CUR_TIME+(HOURLY_INTERVAL*@__interval*3600); SETPARTITION_NAME=FROM_UNIXTIME(CUR_TIME+HOURLY_INTERVAL*(@__interval-1)*3600,'p%Y%m%d%H00'); CALLpartition_create(SCHEMA_NAME,TABLE_NAME,PARTITION_NAME,LESS_THAN_TIMESTAMP); SET@__interval=@__interval+1; ENDLOOP; SETOLDER_THAN_PARTITION_DATE=DATE_FORMAT(DATE_SUB(NOW(),INTERVALKEEP_DATA_DAYSDAY),'%Y%m%d0000'); CALLpartition_drop(SCHEMA_NAME,TABLE_NAME,OLDER_THAN_PARTITION_DATE); END$$ DELIMITER ; 分区校验的存储过程 DELIMITER $$ CREATEPROCEDURE`partition_verify`(SCHEMANAMEVARCHAR(64),TABLENAMEVARCHAR(64),HOURLYINTERVALINT(11)) BEGIN DECLAREPARTITION_NAMEVARCHAR(16); DECLARERETROWSINT(11); DECLAREFUTURE_TIMESTAMPTIMESTAMP; /** Check if any partitions exist for the given SCHEMANAME.TABLENAME. */ SELECTCOUNT(1)INTORETROWS FROMinformation_schema.partitions WHEREtable_schema=SCHEMANAMEANDTABLE_NAME=TABLENAMEANDpartition_nameISNULL; /* * If partitions do not exist, go ahead and partition the table*/ IFRETROWS=1THEN /* * Take the current date at 00:00:00 and add HOURLYINTERVAL to it. This is the timestamp below which we will store values. * We begin partitioning based on the beginning of a day. This is because we don't want to generate a random partition * that won't necessarily fall in line with the desired partition naming (ie: if the hour interval is 24 hours, we could * end up creating a partition now named "p201403270600" when all other partitions will be like "p201403280000"). */ SETFUTURE_TIMESTAMP=TIMESTAMPADD(HOUR,HOURLYINTERVAL,CONCAT(CURDATE()," ",'00:00:00')); SETPARTITION_NAME=DATE_FORMAT(CURDATE(),'p%Y%m%d%H00'); -- Create the partitioning query SET@__PARTITION_SQL=CONCAT("ALTER TABLE ",SCHEMANAME,".",TABLENAME," PARTITION BY RANGE(`clock`)"); SET@__PARTITION_SQL=CONCAT(@__PARTITION_SQL,"(PARTITION ",PARTITION_NAME," VALUES LESS THAN (",UNIX_TIMESTAMP(FUTURE_TIMESTAMP),"));"); -- Run the partitioning query PREPARESTMTFROM@__PARTITION_SQL; EXECUTESTMT; DEALLOCATEPREPARESTMT; ENDIF; END$$ DELIMITER ; mysql>CALLpartition_maintenance(' 例如,zabbix.history保存28天,表区间的时间为24小时,预留14天的区间。 添加定时任务 参考文档 本文参考https://www.zabbix.org/wiki/Docs/howto/mysql_partition写成。使用存储过程
mysql> CALL partition_maintenance('zabbix', 'history', 28, 24, 14);+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405070000,1399478400) |+-----------------------------------------------------------+1 row in set (18.75 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405080000,1399564800) |+-----------------------------------------------------------+1 row in set (19.08 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405090000,1399651200) |+-----------------------------------------------------------+1 row in set (19.16 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405100000,1399737600) |+-----------------------------------------------------------+1 row in set (19.27 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405110000,1399824000) |+-----------------------------------------------------------+1 row in set (19.42 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405120000,1399910400) |+-----------------------------------------------------------+1 row in set (19.52 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405130000,1399996800) |+-----------------------------------------------------------+1 row in set (19.63 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405140000,1400083200) |+-----------------------------------------------------------+1 row in set (19.89 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405150000,1400169600) |+-----------------------------------------------------------+1 row in set (20.00 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405160000,1400256000) |+-----------------------------------------------------------+1 row in set (20.07 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405170000,1400342400) |+-----------------------------------------------------------+1 row in set (20.13 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405180000,1400428800) |+-----------------------------------------------------------+1 row in set (20.20 sec)+-----------------------------------------------------------+| msg |+-----------------------------------------------------------+| partition_create(zabbix,history,p201405190000,1400515200) |+-----------------------------------------------------------+1 row in set (20.31 sec)+----------------+--------------------+| table| partitions_deleted |+----------------+--------------------+| zabbix.history | N/A|+----------------+--------------------+1 row in set (20.42 sec)Query OK, 0 rows affected (20.42 sec)
创建存储过程
DELIMITER $$CREATE PROCEDURE `partition_maintenance_all`(SCHEMA_NAME VARCHAR(32))BEGIN CALL partition_maintenance(SCHEMA_NAME, 'history', 28, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_log', 28, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_str', 28, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_text', 28, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'history_uint', 28, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'trends', 730, 24, 14); CALL partition_maintenance(SCHEMA_NAME, 'trends_uint', 730, 24, 14);END$$DELIMITER ;
调用存储过程
mysql> CALL partition_maintenance_all('zabbix');+----------------+--------------------+| table| partitions_deleted |+----------------+--------------------+| zabbix.history | N/A|+----------------+--------------------+1 row in set (0.01 sec)............+--------------------+--------------------+| table| partitions_deleted |+--------------------+--------------------+| zabbix.trends_uint | N/A|+--------------------+--------------------+1 row in set (22.41 sec)Query OK, 0 rows affected, 1 warning (22.41 sec)mysql>
查看表结构
mysql> show create table history/G;*************************** 1. row *************************** Table: historyCreate Table: CREATE TABLE `history` (`itemid` bigint(20) unsigned NOT NULL,`clock` int(11) NOT NULL DEFAULT '0',`value` double(16,4) NOT NULL DEFAULT '0.0000',`ns` int(11) NOT NULL DEFAULT '0',KEY `history_1` (`itemid`,`clock`)) ENGINE=InnoDB DEFAULT CHARSET=utf8/*!50100 PARTITION BY RANGE (`clock`)(PARTITION p201405060000 VALUES LESS THAN (1399392000) ENGINE = InnoDB, PARTITION p201405070000 VALUES LESS THAN (1399478400) ENGINE = InnoDB, PARTITION p201405080000 VALUES LESS THAN (1399564800) ENGINE = InnoDB, PARTITION p201405090000 VALUES LESS THAN (1399651200) ENGINE = InnoDB, PARTITION p201405100000 VALUES LESS THAN (1399737600) ENGINE = InnoDB, PARTITION p201405110000 VALUES LESS THAN (1399824000) ENGINE = InnoDB, PARTITION p201405120000 VALUES LESS THAN (1399910400) ENGINE = InnoDB, PARTITION p201405130000 VALUES LESS THAN (1399996800) ENGINE = InnoDB, PARTITION p201405140000 VALUES LESS THAN (1400083200) ENGINE = InnoDB, PARTITION p201405150000 VALUES LESS THAN (1400169600) ENGINE = InnoDB, PARTITION p201405160000 VALUES LESS THAN (1400256000) ENGINE = InnoDB, PARTITION p201405170000 VALUES LESS THAN (1400342400) ENGINE = InnoDB, PARTITION p201405180000 VALUES LESS THAN (1400428800) ENGINE = InnoDB, PARTITION p201405190000 VALUES LESS THAN (1400515200) ENGINE = InnoDB) */
1 1 * * * mysql-uzabbix -pzabbix zabbix -e "CALL partition_maintenance_all('zabbix')"

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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