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')"

Atribut asid termasuk atom, konsistensi, pengasingan dan ketahanan, dan merupakan asas reka bentuk pangkalan data. 1. Atomicity memastikan bahawa urus niaga sama ada berjaya atau gagal sepenuhnya. 2. Konsistensi memastikan pangkalan data tetap konsisten sebelum dan selepas transaksi. 3. Pengasingan memastikan bahawa urus niaga tidak mengganggu satu sama lain. 4. Kegigihan memastikan data disimpan secara kekal selepas penyerahan transaksi.

MySQL bukan sahaja sistem pengurusan pangkalan data (DBMS) tetapi juga berkait rapat dengan bahasa pengaturcaraan. 1) Sebagai DBMS, MySQL digunakan untuk menyimpan, menyusun dan mengambil data, dan mengoptimumkan indeks dapat meningkatkan prestasi pertanyaan. 2) Menggabungkan SQL dengan bahasa pengaturcaraan, tertanam dalam Python, menggunakan alat ORM seperti SQLalChemy dapat memudahkan operasi. 3) Pengoptimuman prestasi termasuk pengindeksan, pertanyaan, caching, perpustakaan dan bahagian meja dan pengurusan transaksi.

MySQL menggunakan arahan SQL untuk menguruskan data. 1. Perintah asas termasuk pilih, masukkan, kemas kini dan padam. 2. Penggunaan lanjutan melibatkan fungsi gabungan, subquery dan agregat. 3. Kesilapan umum termasuk isu sintaks, logik dan prestasi. 4. Petua Pengoptimuman termasuk menggunakan indeks, mengelakkan Pilih* dan menggunakan had.

MySQL adalah sistem pengurusan pangkalan data relasi yang sesuai untuk menyimpan dan menguruskan data. Kelebihannya termasuk pertanyaan berprestasi tinggi, pemprosesan transaksi fleksibel dan jenis data yang kaya. Dalam aplikasi praktikal, MySQL sering digunakan dalam platform e-dagang, rangkaian sosial dan sistem pengurusan kandungan, tetapi perhatian harus dibayar kepada pengoptimuman prestasi, keselamatan data dan skalabilitas.

Hubungan antara SQL dan MySQL adalah hubungan antara bahasa standard dan pelaksanaan khusus. 1. SQL adalah bahasa standard yang digunakan untuk mengurus dan mengendalikan pangkalan data relasi, membolehkan penambahan data, penghapusan, pengubahsuaian dan pertanyaan. 2.MYSQL adalah sistem pengurusan pangkalan data tertentu yang menggunakan SQL sebagai bahasa pengendaliannya dan menyediakan penyimpanan dan pengurusan data yang cekap.

InnoDB menggunakan redolog dan undologs untuk memastikan konsistensi dan kebolehpercayaan data. 1. Pengubahsuaian halaman data rekod untuk memastikan pemulihan kemalangan dan kegigihan transaksi. 2.UNDOLOGS merekodkan nilai data asal dan menyokong penggantian transaksi dan MVCC.

Metrik utama untuk menjelaskan arahan termasuk jenis, kunci, baris, dan tambahan. 1) Jenis mencerminkan jenis akses pertanyaan. Semakin tinggi nilai, semakin tinggi kecekapan, seperti const adalah lebih baik daripada semua. 2) Kunci memaparkan indeks yang digunakan, dan null menunjukkan tiada indeks. 3) Baris menganggarkan bilangan baris yang diimbas, yang mempengaruhi prestasi pertanyaan. 4) Tambahan memberikan maklumat tambahan, seperti menggunakanFilesort meminta bahawa ia perlu dioptimumkan.

MenggunakanTemary menunjukkan bahawa keperluan untuk membuat jadual sementara dalam pertanyaan MySQL, yang biasanya dijumpai di Orderby menggunakan lajur yang berbeza, GroupBy, atau tidak diindeks. Anda boleh mengelakkan berlakunya indeks dan menulis semula pertanyaan dan meningkatkan prestasi pertanyaan. Khususnya, apabila menggunakan pembelian muncul dalam menjelaskan output, ini bermakna MySQL perlu membuat jadual sementara untuk mengendalikan pertanyaan. Ini biasanya berlaku apabila: 1) deduplikasi atau pengelompokan apabila menggunakan yang berbeza atau kumpulan; 2) Susun apabila Orderby mengandungi lajur bukan indeks; 3) Gunakan subquery kompleks atau menyertai operasi. Kaedah Pengoptimuman termasuk: 1) Orderby dan GroupB


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Menjana ai hentai secara percuma.

Artikel Panas

Alat panas

MantisBT
Mantis ialah alat pengesan kecacatan berasaskan web yang mudah digunakan yang direka untuk membantu dalam pengesanan kecacatan produk. Ia memerlukan PHP, MySQL dan pelayan web. Lihat perkhidmatan demo dan pengehosan kami.

Penyesuai Pelayan SAP NetWeaver untuk Eclipse
Integrasikan Eclipse dengan pelayan aplikasi SAP NetWeaver.

VSCode Windows 64-bit Muat Turun
Editor IDE percuma dan berkuasa yang dilancarkan oleh Microsoft

SublimeText3 versi Inggeris
Disyorkan: Versi Win, menyokong gesaan kod!

ZendStudio 13.5.1 Mac
Persekitaran pembangunan bersepadu PHP yang berkuasa