数据库是Web大多数应用开发的基础。如果你是用PHP,那么大多数据库用的是MySQL也是LAMP架构的重要部分。PHP看起来很简单,一个初学者也可以几个小时内就能开始写函数了。但是建立一个稳定、可靠的数据库确需要时间和经验。下面就是一些这样的经验,不仅仅是MYSQL,其他数据库也一样可以参考。
1.使用MyISAM而不是InnoDB
MySQL有很多的数据库引擎,单一般也就用MyISAM和InnoDB。
MyISAM 是默认使用的。但是除非你是建立一个非常简单的数据库或者只是实验性的,那么到大多数时候这个选择是错误的。MyISAM不支持外键的约束,这是保证数据 完整性的精华所在啊。另外,MyISAM会在添加或者更新数据的时候将整个表锁住,这在以后的扩展性能上会有很大的问题。
解决办法很简单:使用InnoDB。
错误信息:
/usr/local/mysql/bin/mysqlhotcopy -u root -p --addtodest --noindices --flushlog -q qeedoo /tmp/bak install_driver(mysql) failed: Can't locate DBD/mysql.pm in @INC (@INC contains: /usr/lib/perl5/site_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/site_perl/5.8.8 /usr/lib/perl5/site_perl /usr/lib/perl5/vendor_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/vendor_perl/5.8.8 /usr/lib/perl5/vendor_perl /usr/lib/perl5/5.8.8/i386-linux-thread-multi /usr/lib/perl5/5.8.8 .) at (eval 7) line 3. Perhaps the DBD::mysql perl module hasn't been fully installed, or perhaps the capitalisation of 'mysql' isn't right. Available drivers: DBM, ExampleP, File, Proxy, Sponge.
解决办法:
# http://search.cpan.org/~capttofu/DBD-mysql-3.0008/ wget http://search.cpan.org/CPAN/authors/id/C/CA/CAPTTOFU/DBD-mysql-4.020.tar.gz tar zxvf DBD-mysql-4.020.tar.gz cd /tmp/DBD-mysql-4.020 perl Makefile.PL --mysql_config=/usr/local/webserver/mysql/bin/mysql_config make make install
最后编译安装完之后 发现还是报错:
install_driver(mysql) failed: Can't load '/usr/lib/perl5/site_perl/5.8.8/i386-linux-thread-multi/auto/DBD/mysql/mysql.so' for module DBD::mysql: libmysqlclient.so.16: cannot open shared object file: No such file or directory at /usr/lib/perl5/5.8.8/i386-linux-thread-multi/DynaLoader.pm line 230. at (eval 7) line 3 Compilation failed in require at (eval 7) line 3. Perhaps a required shared library or dll isn't installed where expected at /usr/bin/mysqlhotcopy line 177
是因为tar安装mysql后的路径配置的有问题
vi /etc/ld.so.conf
把mysql的这个库文件路径添加进去
echo "/usr/local/webserver/mysql/lib/mysql" >> /etc/ld.so.conf ldconfig
再执行mysqlhotcopy的时候,一切正常。
有一台服务出现如下问题:
以下问题待遇查看资料,先记下另外这个问题:
Can't locate DBI.pm in @INC (@INC contains: /usr/lib/perl5/site_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/site_perl/5.8.8 /usr/lib/perl5/site_perl /usr/lib/perl5/vendor_perl/5.8.8/i386-linux-thread-multi /usr/lib/perl5/vendor_perl/5.8.8 /usr/lib/perl5/vendor_perl /usr/lib/perl5/5.8.8/i386-linux-thread-multi /usr/lib/perl5/5.8.8 .) at /usr/local/mysql/bin/mysqlhotcopy line 8. BEGIN failed--compilation aborted at /usr/local/mysql/bin/mysqlhotcopy line 8.
原因:系统没有按安装DBI组件。
笔记一下
#!/bin/sh
#check MySQL_Slave Status
#crontab time 00:10
MYSQL_USER="root"
MYSQL_PWD="123456"
MYSQL_SLAVE_LOG="/tmp/check_mysql_slave.log"
EMAIL="1351010****@139.com"
MYSQL_PORT=`netstat -na|grep "LISTEN"|grep "3306"|awk -F[:" "]+ '{print $5}'`
MYSQL_IP=`ifconfig eth0|grep "inet addr" | awk -F[:" "]+ '{print $4}'`
MYSQL_SLAVE_STATUS=$(/usr/local/webserver/mysql/bin/mysql -u root -psylc23hua -S /tmp/mysql.sock -e "show slave status\G" | grep -i "running")
IO_ENV=`echo $MYSQL_SLAVE_STATUS | grep IO | awk ' {print $2}'`
SQL_ENV=`echo $MYSQL_SLAVE_STATUS | grep SQL | awk '{print $2}'`
NOW=$(date -d today +'%Y-%m-%d %H:%M:%S')
if [ "$MYSQL_PORT" = "3306" ];then
echo "mysql is running!"
else
mail -s "warn!server: $MYSQL_IP mysql is down" "$EMAIL"
fi
if [ "$IO_ENV" = "Yes" -a "$SQL_ENV" = "Yes" ];then
echo "Slave is running!"
else
echo "[ $NOW ] Slave is not running!" >> "$MYSQL_SLAVE_LOG"
cat "$MYSQL_SLAVE_LOG" | mail -s "WARN! ${MySQL_IP}_replicate_error" "$EMAIL"
fi
exit 0
一、 安装cmake
# 如果是纯净的系统要做以下一些准备
# Debian 系统
apt-get -y install gcc libxml2-dev curl screen \
libpng12-dev autoconf libpcre3-dev make cmake bzip2 \
libevent-dev patch libjpeg62-dev libcurl4-openssl-dev \
libfreetype6-dev g++ libtool libncurses5-dev psmisc lrzsz
# Centos 系统
yum -y install gcc libxml2-dev curl screen \
libpng12-dev autoconf libpcre3-dev make bzip2 \
libevent-dev patch libjpeg62-dev libcurl4-openssl-dev \
libfreetype6-dev g++ libtool libncurses5-dev psmisc lrzsz
# 如果cmake不存在,需要手动安装
# 下载文件
wget http://www.cmake.org/files/v2.8/cmake-2.8.5.tar.gz
使用or:
WHERE * FROM article WHERE article_category=2 OR article_category=3 ORDER BY article_id DESC LIMIT 5 // 执行时间:11.0777
使用in:
SELECT * FROM article WHERE article_category IN (2,3) ORDER BY article_id DESC LIMIT 5 // 执行时间:11.2850
使用union all:
(
SELECT * FROM article
WHERE article_category=2
ORDER BY article_id DESC
LIMIT 5
) UNION ALL (
SELECT * FROM article
WHERE article_category=3
ORDER BY article_id DESC
LIMIT 5
)
ORDER BY article_id DESC
LIMIT 5
// 执行时间:0.0261
原文地址:http://laiguowei2004.blog.163.com/blog/static/368290002011716111921116/
今天给大家介绍六条比较有用的MySQL的SQL语句,可能很多人都通过PHP来实现这些功能。
1. 计算年数
你想通过生日来计算这个人有几岁了。
SELECT DATE_FORMAT(FROM_DAYS(TO_DAYS(now()) - TO_DAYS(@dateofbirth)), '%Y') + 0;
2. 两个时间的差
取得两个 datetime 值的差。假设 dt1 和 dt2 是 datetime 类型,其格式为 ‘yyyy-mm-dd hh:mm:ss’,那么它们之间所差的秒数为:
UNIX_TIMESTAMP( dt2 ) - UNIX_TIMESTAMP( dt1 )
除以60就是所差的分钟数,除以3600就是所差的小时数,再除以24就是所差的天数。
3. 显示某一列出现过N次的值
SELECT id FROM tbl GROUP BY id HAVING COUNT(*) = N;
4. 计算两个日子间的工作日
所谓工作日就是除出周六周日和节假日。
SELECT COUNT(*) FROM calendar WHERE d BETWEEN Start AND Stop AND DAYOFWEEK(d) NOT IN(1,7) AND holiday=0;
5. 查找表中的主键
SELECT k.column_name FROM information_schema.table_constraints t JOIN information_schema.key_column_usage k USING (constraint_name,table_schema,table_name) WHERE t.constraint_type='PRIMARY KEY' AND t.table_schema='db' AND t.table_name=tbl'
6. 查看你的数库有多大
SELECT table_schema AS 'Db Name', Round( Sum( data_length + index_length ) / 1024 / 1024, 3 ) AS 'Db Size (MB)', Round( Sum( data_free ) / 1024 / 1024, 3 ) AS 'Free Space (MB)' FROM information_schema.tables GROUP BY table_schema ;
希望对你有帮助。
原文地址:http://coolshell.cn/articles/3433.html
| SQL 说明 | Mongo 说明 |
| CREATE TABLE USERS (a Number, b Number) | Implicit or use MongoDB::createCollection(). |
| INSERT INTO USERS VALUES(1,1) | $db->users->insert(array(“a” => 1, “b” => 1)); |
| SELECT a,b FROM users | $db->users->find(array(), array(“a” => 1, “b” => 1)); |
| SELECT * FROM users WHERE age=33 | $db->users->find(array(“age” => 33)); |
| SELECT a,b FROM users WHERE age=33 | $db->users->find(array(“age” => 33), array(“a” => 1, “b” => 1)); |
| SELECT a,b FROM users WHERE age=33 | $db->users->find(array(“age” => 33), array(“a” => 1, “b” => 1)); |
| SELECT a,b FROM users WHERE age=33 ORDER BY name | $db->users->find(array(“age” => 33), array(“a” => 1, “b” => 1))->sort(array(“name” => 1)); |
| SELECT * FROM users WHERE age>33 | $db->users->find(array(“age” => array(‘$gt’ => 33))); |
| SELECT * FROM users WHERE age<33 | $db->users->find(array(“age” => array(‘$lt’ => 33))); |
| SELECT * FROM users WHERE name LIKE “%Joe%” | $db->users->find(array(“name” => new MongoRegex(“/Joe/”))); |
| SELECT * FROM users WHERE name LIKE “Joe%” | $db->users->find(array(“name” => new MongoRegex(“/^Joe/”))); |
| SELECT * FROM users WHERE age>33 AND age<=40 | $db->users->find(array(“age” => array(‘$gt’ => 33, ‘$lte’ => 40))); |
| SELECT * FROM users ORDER BY name DESC | $db->users->find()->sort(array(“name” => -1)); |
| CREATE INDEX myindexname ON users(name) | $db->users->ensureIndex(array(“name” => 1)); |
| CREATE INDEX myindexname ON users(name,ts DESC) | $db->users->ensureIndex(array(“name” => 1, “ts” => -1)); |
| SELECT * FROM users WHERE a=1 and b=’q’ | $db->users->find(array(“a” => 1, “b” => “q”)); |
| SELECT * FROM users LIMIT 10 SKIP 20 | $db->users->find()->limit(10)->skip(20); |
| SELECT * FROM users WHERE a=1 or b=2 | $db->users->find(array(‘$or’ => array(array(“a” => 1), array(“b” => 2)))); |
| SELECT * FROM users LIMIT 1 | $db->users->find()->limit(1); |
| EXPLAIN SELECT * FROM users WHERE z=3 | $db->users->find(array(“z” => 3))->explain() |
| SELECT DISTINCT last_name FROM users | $db->command(array(“distinct” => “users”, “key” => “last_name”)); |
| SELECT COUNT(*y) FROM users | $db->users->count(); |
| SELECT COUNT(*y) FROM users where AGE > 30 | $db->users->find(array(“age” => array(‘$gt’ => 30)))->count(); |
| SELECT COUNT(AGE) from users | $db->users->find(array(“age” => array(‘$exists’ => true)))->count(); |
| UPDATE users SET a=1 WHERE b=’q’ | $db->users->update(array(“b” => “q”), array(‘$set’ => array(“a” => 1))); |
| UPDATE users SET a=a+2 WHERE b=’q’ | $db->users->update(array(“b” => “q”), array(‘$inc => array(“a” => 2))); |
| DELETE FROM users WHERE z=”abc” | $db->users->remove(array(“z” => “abc”)); |
MySQL存在则更新方法一般有以下几种
SELECT + UPDATE 是最传统的一个,要对数据库进行两次操作。
REPLACE INTO 和 INSERT INTO ON DUPLICATE KEY UPDATE都是一次操作,表面看起来功能差不多,REPLACE INTO 还优胜些,因为要短一些。
但是两者还是有点区别的:
REPLACE INTO 等于 DELETE + INSERT INTO,如果表的主键是一个自增ID,那问题就来了,REPLACE INTO 会导致主键的值越来越大,如果溢出,将会导致数据无法插入。
而INSERT INTO ON DUPLICATE KEY UPDATE的实质却是 if(EXISTS) UPDATE else INSERT INTO 的操作。
两者的效率都不怎么样,道理很简单,因为一个人干了两个人的活嘛。
MySQL主从同步对大家而言,已经是熟悉到不能再熟悉了,在这就不解释太多。
环境:
主服务器M
从服务器S
数据库A中数据表a
问题详细:
通过PHP脚本对M服务器中数据库A中的数据表a进行数据CURD操作,S服务器数据没有同步更新。
$connection = mysql_connect('A_SERVER', 'A_USER', 'A_PWD');
mysql_query("INSERT INTO `A`.`a` (`a`,`b`) VALUES ('1', '2')");
通过phpMyAdmin进行同样的操作,S服务器的数据同步更新了。
INSERT INTO `A`.`a` (`a`,`b`) VALUES ('1', '2');
问题分析
两个操作对M服务器的数据都正常,这个无用质疑,但是为什么S服务器同步就会有差别呢?其实有一个区别,PHP脚本里没有mysql_select_db操作,难道真的是因为这个原因?是的,正是因为这个原因。
很多人认为在表名前面加上数据库名就可以省略mysql_select_db这步操作了,特别是在跨库操作的时候,结果导致了这样的结果。
下面是例子分析
表A记录如下:
aID aNum
1 a20050111
2 a20050112
3 a20050113
4 a20050114
5 a20050115
表B记录如下:
bID bName
1 2006032401
2 2006032402
3 2006032403
4 2006032404
8 2006032408
创建这两个表SQL语句如下:
CREATE TABLE a
aID int( 1 ) AUTO_INCREMENT PRIMARY KEY ,
aNum char( 20 )
)
CREATE TABLE b(
bID int( 1 ) NOT NULL AUTO_INCREMENT PRIMARY KEY ,
bName char( 20 )
)