最近需要监控数据库每个表的增长量,其实在mysql中的information_schema.TABLES表中有记录表的大小,但是不准,要是计算每天每个表大小的话不是很准确,刚好我的
最近需要监控数据库每个表的增长量,其实在mysql中的information_schema.TABLES表中有记录表的大小,但是不准,要是计算每天每个表大小的话不是很准确,刚好我的mysql是独享表空间,,所以只要计算出数据目录中的表文件大小即可实现这个目的。以下代码实现了计算在独享表空间下,计算数据库中所有表的物理大小,并计算整个mysql数据库目录的大小和数据库目录所在分区的剩余空间。以下是代码:
#!/usr/bin/env python # -*- coding: utf-8 -*- import os,time,MySQLdb '''CREATE TABLE DBA.datasize ( `id` int(11) NOT NULL AUTO_INCREMENT, `host` varchar(20) NOT NULL COMMENT '服务器IP', `dataname` varchar(100) NOT NULL COMMENT '数据库名字', `tablename` varchar(100) NOT NULL COMMENT '表名字', `datasize` double NOT NULL COMMENT '表大小,单位:M', `uptime` datetime NOT NULL COMMENT '更新时间', PRIMARY KEY (`id`,`host`,`dataname`,`tablename`,`datasize`,`uptime`), KEY `index_uptime` (`uptime`), KEY `index_tablename` (`tablename`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8''' #表结构 def log_w(text):#写日志 logfile = "datasize.txt" f = open(logfile,'a+') text = text+'\n' f.write(text) f.close() def log2db(size_log):#把结果写入数据库 log_host = '192.168.100.100' log_user = 'wangwei' log_pass = 'wangwei' try: conn = MySQLdb.connect(host = log_host,port = 3306,user = log_user,passwd = log_pass,charset='utf8',connect_timeout=20) cursor = conn.cursor() cursor.executemany("insert into DBA.datasize (`host`,`dataname`,`tablename`,`datasize`,`uptime`) VALUES(%s,%s,%s,%s,%s)",tuple(size_log)) conn.commit() cursor.close() conn.close() except Exception,e: print e def main(): uptime = time.strftime("%Y-%m-%d %H:%M:%S") text = "======================== %s ======================" % uptime print text #log_w(text) mysqldir = "/home/mysql/" tables = {} host = '192.168.100.10'#数据库本地IP conm = 'du -sh %s' % mysqldir datasize = os.popen(conm).readlines()[0].split('\t')[0] dir_list = os.listdir(mysqldir) for i in dir_list: dirname = os.path.join(mysqldir,i) if os.path.isdir(dirname): tb_list = os.listdir(dirname) table_list = list(set([os.path.splitext(ii)[0] for ii in tb_list])) for t_name in table_list: t_size = 0 for t in tb_list: if t_name in t: f_size = os.path.getsize(os.path.join(dirname,t)) t_size = t_size + f_size t_size = t_size/1024/1024 if t_size != 0: tables[os.path.join(i,t_name)]=t_size tables = sorted(tables.iteritems(),key = lambda asd:asd[1],reverse = True) size_log = [] for i in tables: text = str(i[0]).ljust(70)+str(i[1])+'M' aa = i[0].split("/") res = [host,aa[0],aa[1],i[1],uptime] size_log.append(res) #log_w(text) print text text = "All DataSize :".ljust(70)+str(datasize) size_log.append([host,"all","all",int(datasize.split('G')[0])*1024,uptime]) diskfree = os.popen("df -h|grep data").readlines()[0].split()[3] size_log.append([host,"disk","free",int(diskfree.split('G')[0])*1024,uptime]) #log_w(text) print text text = "Data Disk free size:".ljust(70)+diskfree #log_w(text) print text log2db(size_log) if __name__=='__main__': main()本文出自 “王伟” 博客,请务必保留此出处

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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