CentOS7系统使用rpm方式安装MySQL5.7
参考：https://blog.csdn.net/wudinaniya/article/details/81094578
1、首先去mysql官网下载rpm包，一个是server包一个是client包。官网下载地址：https://www.mysql.com/downloads/
这里用mysql community server里边的。这里使用的是5.7.x版本了，不使用Mysql8.x版本了。
我这里使用的是Centos7.x版本的64位操作系统，使用mysql5.7版本的数据库。查看linux操作系统版本和系统内核版本，如下所示：
[root@k8s-node3 ~]# cat /etc/redhat-release # 查看操作系统版本
CentOS Linux release 7.6. (Core)
[root@k8s-node3 ~]# uname -r # 检查系统内核版本
3.10.-.el7.x86_64
[root@k8s-node3 ~]#
选择对应的Linux版本和x86/x64进行下载，可以选择 RPM Bundle，下载完记得解压 tar -xvf xxx.tar。
可以离线下载上传或者在线下载包，如下所示：
[root@k8s-node3 package]# wget https://downloads.mysql.com/archives/get/p/23/file/mysql-5.7.30-1.el7.x86_64.rpm-bundle.tar
---- ::-- https://downloads.mysql.com/archives/get/p/23/file/mysql-5.7.30-1.el7.x86_64.rpm-bundle.tar
Resolving downloads.mysql.com (downloads.mysql.com)... 137.254.60.14
Connecting to downloads.mysql.com (downloads.mysql.com)|137.254.60.14|:... failed: Connection refused.
[root@k8s-node3 package]# wget https://dev.mysql.com/get/Downloads/MySQL-5.7/mysql-5.7.22-1.el7.x86_64.rpm-bundle.tar
---- ::-- https://dev.mysql.com/get/Downloads/MySQL-5.7/mysql-5.7.22-1.el7.x86_64.rpm-bundle.tar
Resolving dev.mysql.com (dev.mysql.com)... 137.254.60.11
Connecting to dev.mysql.com (dev.mysql.com)|137.254.60.11|:... connected.
HTTP request sent, awaiting response... Found
Location: https://cdn.mysql.com//archives/mysql-5.7/mysql-5.7.22-1.el7.x86_64.rpm-bundle.tar [following]
---- ::-- https://cdn.mysql.com//archives/mysql-5.7/mysql-5.7.22-1.el7.x86_64.rpm-bundle.tar
Resolving cdn.mysql.com (cdn.mysql.com)... 104.85.161.42
Connecting to cdn.mysql.com (cdn.mysql.com)|104.85.161.42|:... connected.
HTTP request sent, awaiting response... OK
Length: (570M) [application/x-tar]
Saving to: ‘mysql-5.7.-.el7.x86_64.rpm-bundle.tar’ % [=================> ] ,, .17MB/s eta 4m 55s
也可以细化下载，下载须要的mysql组件，有4个：分别是 server、client、common、libs。
卸载旧版本的MySql，如果没有的话，则跳过即可，直接安装mysql。
[root@k8s-node3 package]# rpm -qa | grep mysql
[root@k8s-node3 package]#
如果有的话，将会列出旧版本MySql的组件列表，逐个删除掉旧的组件，使用命令rpm -e --nodeps {-file-name}进行移除操作，移除的时候可能会有依赖，要注意一定的顺序，{-file-name}是待删除的mysql的文件。我这里是没有，直接略过了。
2、使用 rpm 命令方式安装mysql组件，使用命令rpm -ivh {-file-name}进行安装操作。按照依赖关系依次安装rpm包 依赖关系依次common→libs→client→server。如下所示：
备注：在ivh中， i-install安装、v-verbose进度条、h-hash哈希校验。
[root@k8s-node3 package]# rpm -ivh mysql-community-common-5.7.-.el7.x86_64.rpm
warning: mysql-community-common-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
Preparing... ################################# [%]
file /usr/share/mysql/czech/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/danish/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/dutch/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/english/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/estonian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/french/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/german/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/greek/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/hungarian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/italian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/japanese/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/korean/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/norwegian-ny/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/norwegian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/polish/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/portuguese/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/romanian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/russian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/serbian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/slovak/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/spanish/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/swedish/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/ukrainian/errmsg.sys from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/Index.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/armscii8.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/ascii.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp1250.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp1251.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp1256.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp1257.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp850.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp852.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/cp866.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/dec8.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/geostd8.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/greek.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/hebrew.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/hp8.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/keybcs2.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/koi8r.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/koi8u.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/latin1.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/latin2.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/latin5.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/latin7.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/macce.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/macroman.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
file /usr/share/mysql/charsets/swe7.xml from install of mysql-community-common-5.7.-.el7.x86_64 conflicts with file from package mariadb-libs-:5.5.-.el7_5.x86_64
[root@k8s-node3 package]# rpm -ivh mysql-community-libs-5.7.-.el7.x86_64.rpm
warning: mysql-community-libs-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
error: Failed dependencies:
mysql-community-common(x86-) >= 5.7. is needed by mysql-community-libs-5.7.-.el7.x86_64
mariadb-libs is obsoleted by mysql-community-libs-5.7.-.el7.x86_64
[root@k8s-node3 package]# rpm -ivh mysql-community-server-5.7.-.el7.x86_64.rpm
warning: mysql-community-server-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
error: Failed dependencies:
mysql-community-client(x86-) >= 5.7. is needed by mysql-community-server-5.7.-.el7.x86_64
mysql-community-common(x86-) = 5.7.-.el7 is needed by mysql-community-server-5.7.-.el7.x86_64
[root@k8s-node3 package]# rpm -ivh mysql-community-client-5.7.-.el7.x86_64.rpm
warning: mysql-community-client-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
error: Failed dependencies:
mysql-community-libs(x86-) >= 5.7. is needed by mysql-community-client-5.7.-.el7.x86_64
[root@k8s-node3 package]#
在安装 mysql-community-libs-5.7.30-1.el7.x86_64.rpm 时有可能会报错，这个是mysql依赖错误，解决方法是：清除yum里所有mysql依赖包。
[root@k8s-node3 package]# rpm -qa|grep mysql
[root@k8s-node3 package]# yum remove mysql-libs
Loaded plugins: fastestmirror, langpacks, product-id, search-disabled-repos, subscription-manager This system is not registered with an entitlement server. You can use subscription-manager to register. Resolving Dependencies
--> Running transaction check
---> Package mariadb-libs.x86_64 :5.5.-.el7_5 will be erased
--> Processing Dependency: libmysqlclient.so.()(64bit) for package: :postfix-2.10.-.el7.x86_64
--> Processing Dependency: libmysqlclient.so.(libmysqlclient_18)(64bit) for package: :postfix-2.10.-.el7.x86_64
--> Running transaction check
---> Package postfix.x86_64 :2.10.-.el7 will be erased
--> Processing Dependency: /usr/sbin/sendmail for package: redhat-lsb-core-4.1-.el7.centos..x86_64
--> Restarting Dependency Resolution with new changes.
--> Running transaction check
---> Package redhat-lsb-core.x86_64 :4.1-.el7.centos. will be erased
--> Finished Dependency Resolution
base//x86_64 | 3.6 kB ::
centos-gluster7//x86_64 | 3.0 kB ::
extras//x86_64 | 2.9 kB ::
extras//x86_64/primary_db | kB ::
updates//x86_64 | 2.9 kB ::
updates//x86_64/primary_db | 3.0 MB :: Dependencies Resolved ================================================================================================================================
Package Arch Version Repository Size
================================================================================================================================
Removing:
mariadb-libs x86_64 :5.5.-.el7_5 @anaconda 4.4 M
Removing for dependencies:
postfix x86_64 :2.10.-.el7 @anaconda M
redhat-lsb-core x86_64 4.1-.el7.centos. @base k Transaction Summary
================================================================================================================================
Remove Package (+ Dependent packages) Installed size: M
Is this ok [y/N]: y
Downloading packages:
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
Erasing : redhat-lsb-core-4.1-.el7.centos..x86_64 /
Erasing : :postfix-2.10.-.el7.x86_64 /
Erasing : :mariadb-libs-5.5.-.el7_5.x86_64 /
Verifying : redhat-lsb-core-4.1-.el7.centos..x86_64 /
Verifying : :postfix-2.10.-.el7.x86_64 /
Verifying : :mariadb-libs-5.5.-.el7_5.x86_64 / Removed:
mariadb-libs.x86_64 :5.5.-.el7_5 Dependency Removed:
postfix.x86_64 :2.10.-.el7 redhat-lsb-core.x86_64 :4.1-.el7.centos. Complete!
[root@k8s-node3 package]#
注意：有的系统可能不太一样，没有mysql-libs,而是mariadb-libs,此时要移除的则是mariadb-libs。
[root@k8s-node3 package]# rpm -qa|grep mariadb
[root@k8s-node3 package]# yum remove mariadb-libs
清除完yum里所有mysql的依赖包后，再次安装mysql组件就不会报错了，如下所示：
[root@k8s-node3 package]# rpm -ivh mysql-community-common-5.7.-.el7.x86_64.rpm
warning: mysql-community-common-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
Preparing... ################################# [%]
Updating / installing...
:mysql-community-common-5.7.-.e################################# [%]
[root@k8s-node3 package]# rpm -ivh mysql-community-libs-5.7.-.el7.x86_64.rpm
warning: mysql-community-libs-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
Preparing... ################################# [%]
Updating / installing...
:mysql-community-libs-5.7.-.el7################################# [%]
[root@k8s-node3 package]# rpm -ivh mysql-community-server-5.7.-.el7.x86_64.rpm
warning: mysql-community-server-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
error: Failed dependencies:
mysql-community-client(x86-) >= 5.7. is needed by mysql-community-server-5.7.-.el7.x86_64
[root@k8s-node3 package]# rpm -ivh mysql-community-client-5.7.-.el7.x86_64.rpm
warning: mysql-community-client-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
Preparing... ################################# [%]
Updating / installing...
:mysql-community-client-5.7.-.e################################# [%]
[root@k8s-node3 package]#
我这里server安装失败了，我这里强制安装，先安装一下，如下所示：
[root@k8s-node3 package]# ls
mysql-5.7.-.el7.x86_64.rpm-bundle.tar mysql-community-libs-5.7.-.el7.x86_64.rpm
mysql-community-client-5.7.-.el7.x86_64.rpm mysql-community-server-5.7.-.el7.x86_64.rpm
mysql-community-common-5.7.-.el7.x86_64.rpm
[root@k8s-node3 package]# rpm -ivh mysql-community-server-5.7.-.el7.x86_64.rpm --nodeps --force
warning: mysql-community-server-5.7.-.el7.x86_64.rpm: Header V3 DSA/SHA1 Signature, key ID 5072e1f5: NOKEY
Preparing... ################################# [%]
Updating / installing...
:mysql-community-server-5.7.-.e################################# [%]
[root@k8s-node3 package]#
注意：执行 yum remove mysql-libs命令后，会自动删除掉 /etc/ 下的 my.cnf 文件，对于安装mysql组件，只有安装了 mysql-community-server-5.7.30-1.el7.x86_64.rpm 组件，才会在 /etc/下生成 my.cnf 文件 和 my.cnf.d 文件夹。
[root@k8s-node3 package]# ls /etc/my.cnf
/etc/my.cnf
[root@k8s-node3 package]# ls /etc/my.cnf.d/
[root@k8s-node3 package]# ls /etc/my*
/etc/my.cnf /etc/my.cnf.d:
[root@k8s-node3 package]#
在/var/lib/下可以看到以下三个文件夹mysql、mysql-files、mysql-keyring，如下所示：
[root@k8s-node3 package]# cd /var/lib/
[root@k8s-node3 lib]# ls
AccountsService color flatpak glusterd lldpad mysql-keyring polkit- rpm-state tpm yum
alsa colord fprint gssproxy logrotate net-snmp postfix rsyslog tuned
alternatives containers fwupd hyperv machines NetworkManager pulse samba udisks2
authconfig dbus fwupdate initramfs misc nfs rasdaemon selinux unbound
bluetooth dhclient games iscsi mlocate os-prober rhsm setroubleshoot upower
boltd dnsmasq gdm kubelet mysql PackageKit rpcbind stateless vmware
chrony docker geoclue libvirt mysql-files plymouth rpm systemd xkb
[root@k8s-node3 lib]# ls mysql mysql-
mysql-files/ mysql-keyring/
[root@k8s-node3 lib]# ls mysql mysql-
mysql-files/ mysql-keyring/
[root@k8s-node3 lib]# ls mysql mysql-files/ mysql-keyring/
mysql: mysql-files/: mysql-keyring/:
[root@k8s-node3 lib]#
在/var/log/ 下可以看到 mysqld.log 文件，如下所示：
[root@k8s-node3 lib]# cd /var/lo
local/ lock/ log/
[root@k8s-node3 lib]# cd /var/log/
[root@k8s-node3 log]# ls
anaconda cron libvirt qemu-ga spooler- vmware-vgauthsvc.log.
audit cron- maillog rhsm swtpm vmware-vmsvc.log
boot.log cron- maillog- sa tallylog vmware-vmusr.log
boot.log- cron- maillog- samba tuned wpa_supplicant.log
boot.log- cron- maillog- secure vmware-network..log wtmp
boot.log- cups maillog- secure- vmware-network..log Xorg..log
boot.log- dmesg messages secure- vmware-network..log Xorg..log.old
boot.log- dmesg.old messages- secure- vmware-network..log Xorg..log
boot.log- firewalld messages- secure- vmware-network..log yum.log
boot.log- gdm messages- speech-dispatcher vmware-network..log
btmp gitlab messages- spooler vmware-network..log
btmp- glusterfs mysqld.log spooler- vmware-network..log
chrony grubby_prune_debug pluto spooler- vmware-network..log
containers lastlog ppp spooler- vmware-network.log
[root@k8s-node3 log]# ll mysqld.log
-rw-r----- mysql mysql Jul : mysqld.log
[root@k8s-node3 log]#
在/var/run/ 下可以看到 mysqld 目录，如下所示：
[root@k8s-node3 log]# cd /var/run/
[root@k8s-node3 run]# ls
abrt cups gitlab lock NetworkManager setrans udev
alsactl.pid dbus gluster log plymouth setroubleshoot udisks2
atd.pid dmeventd-client glusterd.pid lsm ppp sm-notify.pid user
auditd.pid dmeventd-server glusterd.socket lvm radvd spice-vdagentd utmp
avahi-daemon docker gssproxy.pid lvmetad.pid rhsm sshd.pid vmware
blkid docker.pid gssproxy.sock mcelog-client rpcbind sudo xtables.lock
console docker.sock initramfs mcelog.pid rpcbind.lock sysconfig
container-storage-setup ebtables.lock ksmtune.pid mdadm rpcbind.sock syslogd.pid
crond.pid faillock kubernetes mount runc systemd
cron.reboot flannel libvirt mysqld samba tmpfiles.d
cryptsetup gdm libvirtd.pid netreport sepermit tuned
[root@k8s-node3 run]# ls mysqld/
[root@k8s-node3 run]# ll mysqld/
total
[root@k8s-node3 run]#
3、登录并创建 mysql 密码，启动mysql，安装完后，使用命令 service mysqld start 或 systemctl start mysqld.service 启动MySQL服务，如果mysql服务无法启动，就重启一下系统。
[root@k8s-node3 ~]# systemctl start mysqld.service
[root@k8s-node3 ~]# systemctl status mysqld.service
● mysqld.service - MySQL Server
Loaded: loaded (/usr/lib/systemd/system/mysqld.service; enabled; vendor preset: disabled)
Active: active (running) since Wed -- :: CST; 11s ago
Docs: man:mysqld()
http://dev.mysql.com/doc/refman/en/using-systemd.html
Process: ExecStart=/usr/sbin/mysqld --daemonize --pid-file=/var/run/mysqld/mysqld.pid $MYSQLD_OPTS (code=exited, status=/SUCCESS)
Process: ExecStartPre=/usr/bin/mysqld_pre_systemd (code=exited, status=/SUCCESS)
Main PID: (mysqld)
Tasks:
Memory: 259.3M
CGroup: /system.slice/mysqld.service
└─ /usr/sbin/mysqld --daemonize --pid-file=/var/run/mysqld/mysqld.pid Jul :: k8s-node3 systemd[]: Starting MySQL Server...
Jul :: k8s-node3 systemd[]: Started MySQL Server.
[root@k8s-node3 ~]#
启动、停止、查看状态命令如下所示：
systemctl start mysqld.service # 此命令是启动mysql
systemctl status mysqld.service # 此命令是查看mysql状态
systemctl stop mysqld.service # 此命令是关闭mysql
查看mysql进程 ps -ef | grep mysql，查看3306端口 netstat -anop | grep 3306。
[root@k8s-node3 ~]# ps -ef | grep mysql
mysql : ? :: /usr/sbin/mysqld --daemonize --pid-file=/var/run/mysqld/mysqld.pid
root : pts/ :: grep --color=auto mysql
[root@k8s-node3 ~]# netstat -nultp | grep
tcp6 ::: :::* LISTEN /mysqld
[root@k8s-node3 ~]#
登陆mysql修改root密码，由于MySQL5.7.4之前的版本中默认是没有密码的，登录后直接回车就可以进入数据库，进而进行设置密码等操作。其后版本对密码等安全相关操作进行了一些改变，在安装过程中，会在安装日志中生成一个临时密码。使用命令grep 'temporary password' /var/log/mysqld.log找到这个临时密码。
[root@k8s-node3 ~]# grep 'temporary password' /var/log/mysqld.log
--15T06::.406927Z [Note] A temporary password is generated for root@localhost: OUvw#frSq7iI
[root@k8s-node3 ~]#
即可查询到类似于如下的一条日志记录，如下所示：
[root@k8s-node3 ~]# grep 'temporary password' /var/log/mysqld.log
--15T06::.406927Z [Note] A temporary password is generated for root@localhost: OUvw#frSq7iI
[root@k8s-node3 ~]#
OUvw#frSq7iI即为登录密码。使用这个随机密码登录进去，然后修改密码，如下所示：
[root@k8s-node3 ~]# grep 'temporary password' /var/log/mysqld.log
--15T06::.406927Z [Note] A temporary password is generated for root@localhost: OUvw#frSq7iI
[root@k8s-node3 ~]# mysql -uroot -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7. Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> set password for root@localhost=password('');
ERROR (HY000): Your password does not satisfy the current policy requirements
mysql> set global validate_password_policy=; # 此时，新密码长度大于等于8位才有效，否则报错
Query OK, rows affected (0.00 sec) mysql> set global validate_password_length=; # 修改有效密码长度。
Query OK, rows affected (0.00 sec) mysql> set password for root@localhost=password('');
Query OK, rows affected, warning (0.01 sec) mysql>
执行下面的命令set password for root@localhost=password('123456');修改MySql root密码，但是在5.6后,mysql内置密码增强机制,低强度密码会报错:ERROR 1819 (HY000): Your password does not satisfy the current policy requirements。
第一步是，更改策略，设置 validate_password_policy=;
mysql> set global validate_password_policy=; # 此时，新密码长度大于等于8位才有效，否则报错 然后修改有效密码长度：
mysql> set global validate_password_length=;
不管设置 validate_password_length=,还是2,, ,"使密码长度生效"这个参数的实际值都是4。超过4后设置是多少实际就是多少。 第二步就可以重新设置密码了，如下所示：
mysql> set password for root@localhost=password('');
Query OK, rows affected, warning (0.01 sec)
使用修改之后的密码就可以顺利登录，如下所示：
[root@k8s-node3 ~]# mysql -uroot -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7. MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql>
此时，虽然防火墙我时关着的，但root用户只能用于本机访问，不能用于远程访问，否则会报以下错误。因此，接下来要做的是授予root用户远程访问权限。
查看当前授予过的权限，如下所示：
[root@k8s-node3 ~]# mysql -uroot -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7. MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> use mysql;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A Database changed
mysql> select user,host from user;
+---------------+-----------+
| user | host |
+---------------+-----------+
| mysql.session | localhost |
| mysql.sys | localhost |
| root | localhost |
+---------------+-----------+
rows in set (0.00 sec) mysql> grant all privileges on *.* to root@'%' identified by ''; # 授予root用户远程访问权限。
Query OK, rows affected, warning (0.00 sec) mysql> flush privileges; # 刷新权限，使设置生效。
Query OK, rows affected (0.00 sec) mysql>
现在可以远程链接服务器上面的mysql数据库，如下所示：
4、验证mysql安装成功，如下所示：
[root@k8s-node3 ~]# mysqladmin --version
mysqladmin Ver 8.42 Distrib 5.7., for Linux on x86_64
[root@k8s-node3 ~]#
查看mysql检查是否开机自启动，服务前面存在*的是开机自启动的，没有*的是开机不自启动的，如下所示：
[root@k8s-node3 ~]# ntsysv
ntsysv 1.7. - (C) - Red Hat, Inc.
─┐
│
What services should be automatically started? │
│
[*] mdmonitor.service ↑ │
[*] microcode.service ? │
[*] multipathd.service ? │
[*] mysqld.service ? │
[ ] ndctl-monitor.service ? │
[ ] netcf-transaction.service ? │
[ ] nfs-blkmap.service ? │
[ ] nfs-rquotad.service ? │
[ ] nfs-server.service ? │
[ ] nfs.service ↓ │
│
┌────┐ ┌────────┐ │
│ Ok │ │ Cancel │ │
└────┘ └────────┘ │
│
│ │
└──────────────────────────────────────────────────┘
Press <F1> for more information on a service.
mysql的核心目录，如下所示：
1）、/var/lib/mysql，mysql的安装目录。
2）、/usr/share/mysql/，mysql的配置文件。
3）、/usr/bin/，mysql的命令目录。 [root@k8s-node3 ~]# ls /var/lib/mysql
auto.cnf client-cert.pem ibdata1 ibtmp1 mysql.sock.lock public_key.pem sys
ca-key.pem client-key.pem ib_logfile0 mysql performance_schema server-cert.pem
ca.pem ib_buffer_pool ib_logfile1 mysql.sock private_key.pem server-key.pem
[root@k8s-node3 ~]# ls /usr/share/mysql/
bulgarian french mysql-log-rotate romanian
charsets german mysql_security_commands.sql russian
czech greek mysql_sys_schema.sql serbian
danish hungarian mysql_system_tables_data.sql slovak
dictionary.txt innodb_memcached_config.sql mysql_system_tables.sql spanish
dutch install_rewriter.sql mysql_test_data_timezone.sql swedish
english italian norwegian ukrainian
errmsg-utf8.txt japanese norwegian-ny uninstall_rewriter.sql
estonian korean polish
fill_help_tables.sql magic portuguese
[root@k8s-node3 ~]# ls /usr/bin/
5、查看Mysql的字符集编码，如下所示：
[root@k8s-node3 ~]# mysql -uroot -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7. MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show variables like '%char%';
+--------------------------------------+----------------------------+
| Variable_name | Value |
+--------------------------------------+----------------------------+
| character_set_client | utf8 |
| character_set_connection | utf8 |
| character_set_database | latin1 |
| character_set_filesystem | binary |
| character_set_results | utf8 |
| character_set_server | latin1 |
| character_set_system | utf8 |
| character_sets_dir | /usr/share/mysql/charsets/ |
| validate_password_special_char_count | |
+--------------------------------------+----------------------------+
rows in set (0.00 sec) mysql>
设置字符集编码为utf8格式的，如下所示：
# For advice on how to change settings please see
# http://dev.mysql.com/doc/refman/5.7/en/server-configuration-defaults.html [mysqld]
init_connect='SET NAMES utf8'
character-set-server=utf8
# character_set_client=utf8
collation-server=utf8_general_ci
#
# Remove leading # and set to the amount of RAM for the most important data
# cache in MySQL. Start at % of total RAM for dedicated server, else %.
# innodb_buffer_pool_size = 128M
#
# Remove leading # to turn on a very important data integrity option: logging
# changes to the binary log between backups.
# log_bin
#
# Remove leading # to set options mainly useful for reporting servers.
# The server defaults are faster for transactions and fast SELECTs.
# Adjust sizes as needed, experiment to find the optimal values.
# join_buffer_size = 128M
# sort_buffer_size = 2M
# read_rnd_buffer_size = 2M
datadir=/var/lib/mysql
socket=/var/lib/mysql/mysql.sock # Disabling symbolic-links is recommended to prevent assorted security risks
symbolic-links= log-error=/var/log/mysqld.log
pid-file=/var/run/mysqld/mysqld.pid [mysql]
default-character-set=utf8 [mysql_safe]
default-character-set=utf8
"my.cnf" 41L, 1192C
修改内容，如下所示：
此时，需要重启mysql的，如下所示：
[root@k8s-node3 etc]# systemctl restart mysqld.service
[root@k8s-node3 etc]# systemctl status mysqld.service
● mysqld.service - MySQL Server
Loaded: loaded (/usr/lib/systemd/system/mysqld.service; enabled; vendor preset: disabled)
Active: active (running) since Wed -- :: CST; 2s ago
Docs: man:mysqld()
http://dev.mysql.com/doc/refman/en/using-systemd.html
Process: ExecStart=/usr/sbin/mysqld --daemonize --pid-file=/var/run/mysqld/mysqld.pid $MYSQLD_OPTS (code=exited, status=/SUCCESS)
Process: ExecStartPre=/usr/bin/mysqld_pre_systemd (code=exited, status=/SUCCESS)
Main PID: (mysqld)
Tasks:
Memory: 218.8M
CGroup: /system.slice/mysqld.service
└─ /usr/sbin/mysqld --daemonize --pid-file=/var/run/mysqld/mysqld.pid Jul :: k8s-node3 systemd[]: Starting MySQL Server...
Jul :: k8s-node3 systemd[]: Started MySQL Server.
再次查看字符集编码，如下所示：
mysql> SHOW VARIABLES LIKE 'character_set_%';
+--------------------------+----------------------------+
| Variable_name | Value |
+--------------------------+----------------------------+
| character_set_client | utf8 |
| character_set_connection | utf8 |
| character_set_database | utf8 |
| character_set_filesystem | binary |
| character_set_results | utf8 |
| character_set_server | utf8 |
| character_set_system | utf8 |
| character_sets_dir | /usr/share/mysql/charsets/ |
+--------------------------+----------------------------+
rows in set (0.01 sec) mysql> SHOW VARIABLES LIKE 'collation_%';
+----------------------+-----------------+
| Variable_name | Value |
+----------------------+-----------------+
| collation_connection | utf8_general_ci |
| collation_database | utf8_general_ci |
| collation_server | utf8_general_ci |
+----------------------+-----------------+
rows in set (0.01 sec) mysql>
注意，修改字符集编码，只对后面创建的数据库生效，之前创建的数据库字符集还是保持之前的不发生变化。
6、Mysql的命令行清屏命令system clear或者ctrl + L命令，如下所示：
mysql> system clear
mysql>
mysql的逻辑分层，分别是连接层、服务层、引擎层、存储层，如下所示：
查看mysql的存储引擎，首先查看mysql支持的引擎，如下所示：
[root@k8s-node3 ~]# mysql -uroot -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7. MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show engines;
+--------------------+---------+----------------------------------------------------------------+--------------+------+------------+
| Engine | Support | Comment | Transactions | XA | Savepoints |
+--------------------+---------+----------------------------------------------------------------+--------------+------+------------+
| InnoDB | DEFAULT | Supports transactions, row-level locking, and foreign keys | YES | YES | YES |
| MRG_MYISAM | YES | Collection of identical MyISAM tables | NO | NO | NO |
| MEMORY | YES | Hash based, stored in memory, useful for temporary tables | NO | NO | NO |
| BLACKHOLE | YES | /dev/null storage engine (anything you write to it disappears) | NO | NO | NO |
| MyISAM | YES | MyISAM storage engine | NO | NO | NO |
| CSV | YES | CSV storage engine | NO | NO | NO |
| ARCHIVE | YES | Archive storage engine | NO | NO | NO |
| PERFORMANCE_SCHEMA | YES | Performance Schema | NO | NO | NO |
| FEDERATED | NO | Federated MySQL storage engine | NULL | NULL | NULL |
+--------------------+---------+----------------------------------------------------------------+--------------+------+------------+
rows in set (0.01 sec) mysql>
查看当前Mysql的存储引擎，如下所示：
mysql> show variables like '%storage_engine%';
+----------------------------------+--------+
| Variable_name | Value |
+----------------------------------+--------+
| default_storage_engine | InnoDB |
| default_tmp_storage_engine | InnoDB |
| disabled_storage_engines | |
| internal_tmp_disk_storage_engine | InnoDB |
+----------------------------------+--------+
rows in set (0.00 sec) mysql>
查看某个数据表使用了什么存储引擎，在显示结果里参数engine后面的就表示该表当前用的存储引擎。
mysql> show create table user_info;
+-----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Table | Create Table |
+-----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| user_info | CREATE TABLE `user_info` (
`user_id` int() NOT NULL AUTO_INCREMENT COMMENT '用户编号',
`user_account` varchar() DEFAULT NULL COMMENT '用户账号',
`user_pw` varchar() DEFAULT NULL COMMENT '用户密码',
`user_number` varchar() DEFAULT NULL COMMENT '用户手机号',
`user_name` varchar() DEFAULT NULL COMMENT '用户姓名',
`user_age` int() DEFAULT NULL COMMENT '用户年龄',
`user_sex` varchar() DEFAULT NULL COMMENT '用户性别',
`user_mark` varchar() DEFAULT NULL COMMENT '用户标志',
`create_time` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '用户创建时间',
`is_sync` int() DEFAULT '' COMMENT '用户标识',
`is_money` varchar() DEFAULT NULL COMMENT '是否缴纳押金',
PRIMARY KEY (`user_id`) USING BTREE,
KEY `user_id` (`user_id`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT= DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC COMMENT='用户信息表' |
+-----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
row in set (0.00 sec) mysql>
7、mysql的sql优化，原因可能是性能低，执行时间太长，等待时间太长，sql语句欠佳，比如连接查询，索引失效，服务器参数设置不佳。
Sql的编写过程、解析过程，如下所示：
编写过程：select distinct ... from ... join ... on ... where ... group by ... having ... order by ... limit ...
解析过程：from ... on ... join ... where ... group by ... having ... select distinct ... order by ... limit ...
SQL优化，主要就是在于优化索引，索引相当于是书的目录。索引，index是帮助Mysql高效获取数据的数据结构，索引是数据结构（树，常见的B树，默认是B树，Hash树）。
索引的弊端，索引本身很大，可以存放在内存或者硬盘中，通常为硬盘。索引不是所有情况均适用的，如果是少量数据不适用。如果是频繁更新的字段不适用。很少使用的列也不适合添加索引。索引会降低增删改的效率，提高查询的效率。
索引的优点，提高查询效率，降低IO使用率，降低CPU使用率，因为B树索引本事就是一个排好序的结构，因此在排序的时候，可以直接使用的。
8、mysql如何进行优化呢，查看使用索引的情况，查询执行计划，explain + SQL语句。
mysql> explain select * from book_info;
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------+
| | SIMPLE | book_info | NULL | ALL | NULL | NULL | NULL | NULL | | 100.00 | NULL |
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------+
row in set, warning (0.01 sec)
详细信息介绍，如下所示：
id ：编号
select_type ：查询类型
table ：数据表，指的查询的那张表。
partitions ：
type ：类型
possible_keys ： 预测使用到的索引
key ：实际使用的索引
key_len ： 实际使用索引的长度
ref ： 表之间的引用
rows ： 通过索引查询到的数据量
filtered ：
Extra ：额外的信息
8.1、id编号的用法，多表关联查询（备注：多表联查都可以转换为子查询得到想要的结果）特点：
1）、id编号值相同，数据小的表，优先查询。
2）、如果是id编号值不同，id编号值越大越优先查询（执行本质，在嵌套子查询的时候，先查询内层，再查询外层）。
3）、id值有相同，又有不同，id值越大越优先。id值相同从上往下，顺序执行。这里的id编号指定的是explain的查询结果字段id哦。
mysql> explain
-> select * from book_info bi,book_sort bs WHERE bi.book_sort_id = bs.book_sort_id and bi.book_name = 'Java';
+----+-------------+-------+------------+--------+------------------------+-----------+---------+----------------------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+------------------------+-----------+---------+----------------------+------+----------+-------------+
| | SIMPLE | bi | NULL | ref | book_sort_id,book_name | book_name | | const | | 100.00 | Using where |
| | SIMPLE | bs | NULL | eq_ref | PRIMARY | PRIMARY | | book.bi.book_sort_id | | 100.00 | NULL |
+----+-------------+-------+------------+--------+------------------------+-----------+---------+----------------------+------+----------+-------------+
rows in set, warning (0.00 sec) mysql>
mysql> explain
-> select * from book_info bi WHERE bi.book_sort_id = (SELECT book_sort_id from book_sort bs WHERE bs.book_sort_name = '自然科学总论')
-> ;
+----+-------------+-------+------------+------+---------------+--------------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+--------------+---------+-------+------+----------+-------------+
| | PRIMARY | bi | NULL | ref | book_sort_id | book_sort_id | | const | | 100.00 | Using where |
| | SUBQUERY | bs | NULL | ALL | NULL | NULL | NULL | NULL | | 10.00 | Using where |
+----+-------------+-------+------------+------+---------------+--------------+---------+-------+------+----------+-------------+
rows in set, warning (0.00 sec) mysql>
8.2）、select_type查询类型的用法，如下所示：
1）、PRIMARY：包含子查询SQL中的主查询，一般是SQL嵌套的最外层。
2）、SUBQUERY：包含子查询SQL中的子查询，一般是SQL嵌套的非最外层。
3）、SIMPLE：简单查询，不包含子查询，不包含union查询。
4）、DERIVED：衍生查询。在查询的时候使用到了临时表。两种情况，第一种是from子查询中只有一张表。第二种是在from子查询中，如果有两张表table1 union table2连接查询，则table1这个左表就是衍生查询。
mysql> explain
-> SELECT b.book_name from (SELECT * from book_info WHERE book_name in ('Java') UNION SELECT * from book_info WHERE book_name in ('python') ) b;
+----+--------------+------------+------------+------+---------------+------+---------+------+------+----------+-----------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+--------------+------------+------------+------+---------------+------+---------+------+------+----------+-----------------+
| | PRIMARY | <derived2> | NULL | ALL | NULL | NULL | NULL | NULL | | 100.00 | NULL |
| 2 | DERIVED | book_info | NULL | ALL | NULL | NULL | NULL | NULL | | 10.00 | Using where |
| | UNION | book_info | NULL | ALL | NULL | NULL | NULL | NULL | | 10.00 | Using where |
| NULL | UNION RESULT | <union2,3> | NULL | ALL | NULL | NULL | NULL | NULL | NULL | NULL | Using temporary |
+----+--------------+------------+------------+------+---------------+------+---------+------+------+----------+-----------------+
rows in set, warning (0.00 sec) mysql>
DERIVED代表了衍生表，table的值是derived2代表了是主查询涉及到衍生表，而2代表了指明了id编号是2，代表了衍生了那张表，临时表是从id为2的这个table是book_info来的。
8.3）、type成为索引类型，或者称为类型。system > const > eq_ref > ref > index > all，其中性能由左向右依次降低，但是system、const只是理想状态，实际可以达到的一般是ref、range。
1）、system，只有一条数据的系统表，基本达不到，或者衍生表只有一条数据的主查询，偶尔可以达到。
2）、const，仅仅可以查询到一条数据的sql，并且用于Primary key或者unique索引的时候就是const。必须针对Primary key或者unique索引的时候，与索引类型有关。
3）、eq_ref，唯一性索引，对于每个索引键的查询，返回匹配唯一行数据，唯一的意思是有且只有一个，不能多也不能为0。常见于唯一索引和主键索引。
4）、ref，非唯一性索引，对于每个索引键的查询，返回匹配的所有行（可以是0个或者多个）。
5）、range，检索指定范围的行，具体就是where后面是一个范围查询，比如between and、in、>、<等等。特殊的in有时候会失效，从而转换为无索引All，即in范围查询会导致索引失效，可以将in范围查询放到字段查询的后面。
6）、index，查询全部索引的数据。只需要扫描索引表，不需要扫描全部数据。
7）、all，查询全部表中数据。需要扫描全表，即需要所有表中的所有数据。
mysql> explain select * from book_info where book_id > ;
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| | SIMPLE | book_info | NULL | range | PRIMARY | PRIMARY | | NULL | | 100.00 | Using where |
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
row in set, warning (0.00 sec)
8.4）、possible_keys，可能用到的索引，是一种预测，不准。
8.5）、key，实际使用到的索引。如果possible_keys或者key为NULL，说明没有使用到索引。
mysql> explain select * from book_info where book_id > ;
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
| | SIMPLE | book_info | NULL | range | PRIMARY | PRIMARY | | NULL | | 100.00 | Using where |
+----+-------------+-----------+------------+-------+---------------+---------+---------+------+------+----------+-------------+
row in set, warning (0.00 sec)
8.6）、key_len，索引的长度。作用就是用于判断复合索引是否被完全使用。
1）、utf8中，一个字符占用三个字节。如果索引字段可以为null，则会使用1个字节用于标识。如果是固定长度char就是char(n)中的n乘以三，如果可以为null，再加一即可。
2）、utf8中，一个字符占用三个字节。如果索引字段可以为null，则会使用1个字节用于标识。如果是可变长度varchar，就是varchar(n)中的n乘以三，如果可以为null，再加一，然后varhar是可变长度，然后再加二，用两个字节来表示可变长度。比如book_name是varchar(15)，15 * 3 + 1 + 2 = 48。如果是复合索引，book_type是varchar(200)，组合book_name是varchar(15)，就是200 * 3 + 1 + 2 + 15 * 3 + 1 + 2 = 651。
mysql> EXPLAIN
-> SELECT * from book_info WHERE book_name = 'Java' and book_type = '自然科学总论';
+----+-------------+-----------+------------+------+-----------------------------------------+-----------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-----------------------------------------+-----------+---------+-------+------+----------+-------------+
| | SIMPLE | book_info | NULL | ref | book_type,book_name,book_name_book_type | book_name | 48 | const | | 12.50 | Using where |
+----+-------------+-----------+------------+------+-----------------------------------------+-----------+---------+-------+------+----------+-------------+
row in set, warning (0.00 sec) mysql> EXPLAIN
-> SELECT * from book_info WHERE book_name = 'Java' and book_type = '自然科学总论';
+----+-------------+-----------+------------+------+-------------------------------+---------------------+---------+-------------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-------------------------------+---------------------+---------+-------------+------+----------+-------+
| | SIMPLE | book_info | NULL | ref | book_type,book_name_book_type | book_name_book_type | 651 | const,const | | 100.00 | NULL |
+----+-------------+-----------+------------+------+-------------------------------+---------------------+---------+-------------+------+----------+-------+
row in set, warning (0.00 sec) mysql>
注意：utf8是一个字符三个节点，gbk是一个字符两个字节，latin是一个字符一个字节。
8.7）、ref，注意与type中的ref值进行区分，作用是指明当前表所参照的字段。如果是常量，值就是const。
mysql> EXPLAIN
-> SELECT bi.* from book_info bi,book_sort bs WHERE bi.book_sort_id = bs.book_sort_id and bi.book_name = 'Java';
+----+-------------+-------+------------+--------+----------------------------------+---------------------+---------+----------------------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+----------------------------------+---------------------+---------+----------------------+------+----------+-------------+
| | SIMPLE | bi | NULL | ref | book_sort_id,book_name_book_type | book_name_book_type | | const | | 100.00 | Using where |
| | SIMPLE | bs | NULL | eq_ref | PRIMARY | PRIMARY | | book.bi.book_sort_id | | 100.00 | Using index |
+----+-------------+-------+------------+--------+----------------------------------+---------------------+---------+----------------------+------+----------+-------------+
rows in set, warning (0.00 sec) mysql>
8.8）、rows，被索引优化查询的数据个数。
mysql> EXPLAIN
-> SELECT bi.* from book_info bi,book_sort bs WHERE bi.book_sort_id = bs.book_sort_id and bi.book_name = 'Java';
+----+-------------+-------+------------+--------+----------------------------------+---------------------+---------+----------------------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+----------------------------------+---------------------+---------+----------------------+------+----------+-------------+
| | SIMPLE | bi | NULL | ref | book_sort_id,book_name_book_type | book_name_book_type | | const | 1 | 100.00 | Using where |
| | SIMPLE | bs | NULL | eq_ref | PRIMARY | PRIMARY | | book.bi.book_sort_id | 1 | 100.00 | Using index |
+----+-------------+-------+------------+--------+----------------------------------+---------------------+---------+----------------------+------+----------+-------------+
rows in set, warning (0.00 sec)
8.9）、Extra，就是额外的，剩下的意思，常见的有using filesort（出现这种情况要避免）、Using temporary（出现这种情况要避免）、Using where、Using index。
1）、using filesort：表示性能低，消耗比较大，当前的sql语句需要额外的一次排序查询。理解起来就是先根据这个字段查询，然后根据这个字段排序。如果是先根据一个字段查询，根据另外一个字段排序，那么当前的sql语句需要额外的一次排序查询。常见于order by语句中。
mysql> SELECT * from book_info WHERE book_name = 'Java' ORDER BY book_name;
+---------+--------------+-----------+-------------+------------+--------------------+-----------------+----------+-----------+---------------------+------------+-------------------------------------+
| book_id | book_sort_id | book_name | book_author | book_price | book_type | book_publish | book_sum | book_mark | create_time | book_money | book_desc |
+---------+--------------+-----------+-------------+------------+--------------------+-----------------+----------+-----------+---------------------+------------+-------------------------------------+
| | | Java | 别先生 | 29.90 | 自然科学总论 | 科学出版社 | | NULL | -- :: | 199.00 | <p>Java大神如何练成的？</p> |
+---------+--------------+-----------+-------------+------------+--------------------+-----------------+----------+-----------+---------------------+------------+-------------------------------------+
row in set (0.00 sec) mysql> EXPLAIN
-> SELECT * from book_info WHERE book_name = 'Java' ORDER BY book_author;
+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------+------+----------+---------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------+------+----------+---------------------------------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_type | book_name_book_type | | const | | 100.00 | Using index condition; Using filesort |
+----+-------------+-----------+------------+------+---------------------+---------------------+---------+-------+------+----------+---------------------------------------+
row in set, warning (0.00 sec) mysql>
总结：对于单索引，如果排序和查找是同一字段，则不会出现using filesort，如果排序和查找不是同一字段，则会出现using filesort。
对于复合索引，不能跨列（最佳左前缀，即从左到右依次使用，不能跨列使用，比如三个字段的索引，不能跨过第二个索引）。where和order by按照复合索引的顺序使用，不要跨列或者无序使用。
mysql> EXPLAIN
-> SELECT * from book_info WHERE book_name = 'Java' ORDER BY book_author;
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+---------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+---------------------------------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_type_book_author | book_name_book_type_book_author | | const | | 100.00 | Using index condition; Using filesort |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+---------------------------------------+
row in set, warning (0.00 sec) mysql> EXPLAIN
-> SELECT * from book_info WHERE book_name = 'Java' ORDER BY book_type;
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-----------------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_type_book_author | book_name_book_type_book_author | | const | | 100.00 | Using index condition |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-----------------------+
row in set, warning (0.00 sec) mysql>
2）、Using temporary：性能损耗大，用到了临时表。一般出现在group by的语句中。如何避免？查询那些列，就根据那些列进行group by进行分组。出现的原因就是已经有表了，但是不使用，必须再来一张临时表进行分组查询出结果。
mysql> EXPLAIN
-> SELECT book_name from book_info WHERE book_name = 'Java' GROUP BY book_name;
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_type_book_author | book_name_book_type_book_author | | const | | 100.00 | Using index |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-------------+
row in set, warning (0.00 sec) mysql> EXPLAIN
-> SELECT book_name from book_info WHERE book_name = 'Java' GROUP BY book_publish;
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+--------------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+--------------------------------------------------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_type_book_author | book_name_book_type_book_author | | const | | 100.00 | Using index condition; Using temporary; Using filesort |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+--------------------------------------------------------+
row in set, warning (0.00 sec) mysql>
重点，解析过程：from ... on ... join ... where ... group by ... having ... select distinct ... order by ... limit ...
3）、Using index：表示性能提升了，意思是索引覆盖，原因在于不读取原文件，只从索引文件中获取数据，不需要回表查询。只要使用到的列全部都在索引中，就是索引覆盖Using index。只要使用到的列不都在索引中，就不会出现索引覆盖Using index。
mysql> EXPLAIN
-> SELECT book_name from book_info WHERE book_name = 'Java';
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_type_book_author | book_name_book_type_book_author | | const | | 100.00 | Using index |
+----+-------------+-----------+------------+------+---------------------------------+---------------------------------+---------+-------+------+----------+-------------+
row in set, warning (0.00 sec) mysql> EXPLAIN
-> SELECT book_name from book_info WHERE book_name = 'Java' or book_type = '自然科学总论';
+----+-------------+-----------+------------+-------+-------------------------------------------+---------------------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+-------------------------------------------+---------------------------------+---------+------+------+----------+--------------------------+
| | SIMPLE | book_info | NULL | index | book_type,book_name_book_type_book_author | book_name_book_type_book_author | | NULL | | 19.00 | Using where; Using index |
+----+-------------+-----------+------------+-------+-------------------------------------------+---------------------------------+---------+------+------+----------+--------------------------+
row in set, warning (0.00 sec) mysql> EXPLAIN
-> SELECT book_name from book_info WHERE book_type = '自然科学总论' or book_name = 'Java' ;
+----+-------------+-----------+------------+-------+-------------------------------------------+---------------------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+-------------------------------------------+---------------------------------+---------+------+------+----------+--------------------------+
| | SIMPLE | book_info | NULL | index | book_type,book_name_book_type_book_author | book_name_book_type_book_author | | NULL | | 19.00 | Using where; Using index |
+----+-------------+-----------+------------+-------+-------------------------------------------+---------------------------------+---------+------+------+----------+--------------------------+
row in set, warning (0.00 sec) mysql>
如果用到了索引覆盖，索引覆盖Using index会对possible_keys、key造成影响，如果没有where，则索引只出现在key中，如果有where，则索引出现在key和possible_keys中。
mysql> EXPLAIN SELECT book_name from book_info;
+----+-------------+-----------+------------+-------+---------------+-----------------------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+-----------------------+---------+------+------+----------+-------------+
| | SIMPLE | book_info | NULL | index | NULL | book_name_book_author | | NULL | | 100.00 | Using index |
+----+-------------+-----------+------------+-------+---------------+-----------------------+---------+------+------+----------+-------------+
row in set, warning (0.00 sec) mysql> EXPLAIN SELECT book_name from book_info WHERE book_name = '自然科学总论';
+----+-------------+-----------+------------+------+-----------------------+-----------------------+---------+-------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-----------------------+-----------------------+---------+-------+------+----------+-------------+
| | SIMPLE | book_info | NULL | ref | book_name_book_author | book_name_book_author | | const | | 100.00 | Using index |
+----+-------------+-----------+------------+------+-----------------------+-----------------------+---------+-------+------+----------+-------------+
row in set, warning (0.00 sec) mysql>
4）、Using where：表示需要从原表中查询。即需要回表查询的。
mysql> EXPLAIN
-> SELECT book_name,book_type from book_info WHERE book_type = 'Java' ;
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+
| | SIMPLE | book_info | NULL | ALL | NULL | NULL | NULL | NULL | | 10.00 | Using where |
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-------------+
row in set, warning (0.01 sec) mysql>
5）、impossibal where，where子句永远为false。
mysql> EXPLAIN
-> SELECT book_name,book_type from book_info WHERE book_type = 'Java' AND book_type = 'Python' ;
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+------------------+
| | SIMPLE | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL | Impossible WHERE |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+------------------+
row in set, warning (0.01 sec) mysql>
条件字段的顺序最好和组合索引的顺序一致，如果不一致，SQL优化器可以会对sql进行优化，使用到索引，但是强烈推荐保持条件字段顺序和组合索引顺序一致。如果复合索引和使用的顺序一致（且不跨列使用），则复合索引全部使用，如果部分一致，则使用部分索引。
9、mysql的单表索引优化案例，如下所示：
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = ; -- ----------------------------
-- Table structure for user_info
-- ----------------------------
DROP TABLE IF EXISTS `user_info`;
CREATE TABLE `user_info` (
`user_id` int() NOT NULL AUTO_INCREMENT COMMENT '用户编号',
`user_account` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户账号',
`user_pw` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户密码',
`user_number` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户手机号',
`user_name` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户姓名',
`user_age` int() DEFAULT NULL COMMENT '用户年龄',
`user_sex` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户性别',
`user_mark` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户标志',
`create_time` datetime() DEFAULT CURRENT_TIMESTAMP COMMENT '用户创建时间',
`is_sync` int() DEFAULT COMMENT '用户标识',
`is_money` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '是否缴纳押金',
PRIMARY KEY (`user_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '用户信息表' ROW_FORMAT = Dynamic; SET FOREIGN_KEY_CHECKS = ;
索引一旦进行升级优化，需要将之前废弃的索引删除掉，防止干扰。
首先进行需求查询，如下所示：
mysql> EXPLAIN
-> SELECT user_account from user_info WHERE user_age in (,) and user_name = '小别同志' ORDER BY user_age
-> ;
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-----------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-----------------------------+
| | SIMPLE | user_info | NULL | ALL | NULL | NULL | NULL | NULL | | 4.76 | Using where; Using filesort |
+----+-------------+-----------+------------+------+---------------+------+---------+------+------+----------+-----------------------------+
row in set, warning (0.00 sec) mysql>
很明显是没有使用到索引的，那么如何才能进行优化呢。需要注意的是，需要根据sql实际解析的顺序，来调整索引的顺序。
编写过程：select distinct ... from ... join ... on ... where ... group by ... having ... order by ... limit ...
解析过程：from ... on ... join ... where ... group by ... having ... select distinct ... order by ... limit ...
如果索引顺序是这样的`user_age`, `user_name`, `user_account`，那么查询的时候是使用了索引的，符合sql的解析过程，首先是where后面的字段，然后才是select后面的字段。
INDEX `user_age_name_account`(`user_age`, `user_name`, `user_account`) USING BTREE
mysql> EXPLAIN
-> SELECT user_account from user_info WHERE user_age in (,) and user_name = '小别同志' ORDER BY user_age;
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+--------------------------+
| | SIMPLE | user_info | NULL | range | user_age_name_account | user_age_name_account | | NULL | 2 | 100.00 | Using where; Using index |
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+--------------------------+
row in set, warning (0.00 sec) mysql>
如果是查询出所有的字段，就没有进行回表查询的，如下所示：
mysql> explain SELECT * from user_info WHERE user_age in (,) and user_name = '小别同志' ORDER BY user_age;
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+-----------------------+
| | SIMPLE | user_info | NULL | range | user_age_name_account | user_age_name_account | | NULL | | 100.00 | Using index condition |
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+-----------------------+
row in set, warning (0.00 sec) mysql>
索引一旦进行升级优化，需要将之前废弃的索引删除掉，防止干扰。
如果索引顺序是这样的`user_account`, `user_age`, `user_name`，也使用到了索引，但是进行了Using filesort，查询行数rows由2变成了21，效率下降了。
INDEX `user_account_age_name`(`user_account`, `user_age`, `user_name`) USING BTREE
mysql> EXPLAIN
-> SELECT user_account from user_info WHERE user_age in (,) and user_name = '小别同志' ORDER BY user_age;
+----+-------------+-----------+------------+-------+---------------+-----------------------+---------+------+------+----------+------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+---------------+-----------------------+---------+------+------+----------+------------------------------------------+
| | SIMPLE | user_info | NULL | index | NULL | user_account_age_name | | NULL | 21 | 4.76 | Using where; Using index; Using filesort |
+----+-------------+-----------+------------+-------+---------------+-----------------------+---------+------+------+----------+------------------------------------------+
row in set, warning (0.00 sec) mysql>
索引级别type最好达到ref或者range级别的，可以再次进行优化，这里效果不明显，但是in的范围查询可能会导致索引失效，最好放到后面，如下所示：
mysql> EXPLAIN
-> SELECT user_account from user_info WHERE user_name = '小别同志' and user_age in (,) ORDER BY user_age;
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+--------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+--------------------------+
| | SIMPLE | user_info | NULL | range | user_age_name_account | user_age_name_account | | NULL | | 100.00 | Using where; Using index |
+----+-------------+-----------+------------+-------+-----------------------+-----------------------+---------+------+------+----------+--------------------------+
row in set, warning (0.00 sec) mysql>
总结：mysql的索引不能跨列使用即跳过中间的索引字段（最佳左前缀），保持索引的定义和使用的顺序一致性。索引需要逐步进行优化，将含In的范围查询放到where条件的最后，防止失效，如果失效了就需要回原表进行查询了。
此案例中同时出现了Using where需要回原表查询，Using index不需要回原表查询，是因为in范围查询可能会导致索引失效就需要回原表进行查询了，如果where后面的字段在索引中就不需要回原表，可以在索引表中查询到。
mysql> EXPLAIN SELECT user_account from user_info WHERE user_name = '小别同志' and user_age =23 ORDER BY user_age;
+----+-------------+-----------+------------+------+-----------------------+-----------------------+---------+-------------+------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-----------+------------+------+-----------------------+-----------------------+---------+-------------+------+----------+-------------+
| | SIMPLE | user_info | NULL | ref | user_name_age_account | user_name_age_account | | const,const | | 100.00 | Using index |
+----+-------------+-----------+------------+------+-----------------------+-----------------------+---------+-------------+------+----------+-------------+
row in set, warning (0.00 sec) mysql>
10、mysql的双表索引优化案例，如下所示：
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = ; -- ----------------------------
-- Table structure for book_info
-- ----------------------------
DROP TABLE IF EXISTS `book_info`;
CREATE TABLE `book_info` (
`book_id` int() NOT NULL COMMENT '图书编号',
`book_sort_id` int() DEFAULT NULL COMMENT '图书类型编号',
`book_name` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书名称',
`book_author` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书作者',
`book_price` decimal(, ) DEFAULT NULL COMMENT '图书价格',
`book_type` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书类型',
`book_publish` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书出版社',
`book_sum` int() DEFAULT NULL COMMENT '图书数量',
`book_mark` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书标识',
`create_time` datetime() DEFAULT CURRENT_TIMESTAMP COMMENT '图书创建时间',
`book_money` decimal(, ) DEFAULT NULL COMMENT '图书租金',
`book_desc` text CHARACTER SET utf8 COLLATE utf8_general_ci COMMENT '图书说明'
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '图书信息表' ROW_FORMAT = Dynamic; -- ----------------------------
-- Table structure for book_sort
-- ----------------------------
DROP TABLE IF EXISTS `book_sort`;
CREATE TABLE `book_sort` (
`book_sort_id` int() NOT NULL COMMENT '图书类别编号',
`book_sort_name` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书类别名称',
`book_sort_extend` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书类别扩展信息',
`book_sort_mark` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图书类别标识',
`create_time` datetime() DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间'
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '图书类别表' ROW_FORMAT = Dynamic; SET FOREIGN_KEY_CHECKS = ;
两张表组合查询，进行左外关联，如下所示：
Using join buffer (Block Nested Loop)，extra中的一个选项，作用就是mysql的引擎使用了连接缓存，其实就是你的sql太差了，mysql给你添加了一个缓存。
mysql> EXPLAIN
-> SELECT * from book_info bi LEFT OUTER JOIN book_sort bs ON bi.book_sort_id = bs.book_sort_id WHERE bi.book_name = 'Java';
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+----------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+----------------------------------------------------+
| | SIMPLE | bi | NULL | ALL | NULL | NULL | NULL | NULL | | 10.00 | Using where |
| | SIMPLE | bs | NULL | ALL | NULL | NULL | NULL | NULL | | 100.00 | Using where; Using join buffer (Block Nested Loop) |
+----+-------------+-------+------------+------+---------------+------+---------+------+------+----------+----------------------------------------------------+
rows in set, warning (0.01 sec) mysql>
对于两张表的关联查询，索引向那张表加呢，这里有一个原则，叫做小表驱动大表，即where后面跟的是，小表放左边，大表放右表。索引建立到经常使用的字段上。一般情况下，对于左外连接，给左表加索引，右外连接给右表加索引。
此时可以将左表的查询字段添加上索引，增加查询速度。
mysql> EXPLAIN
-> SELECT * from book_info bi LEFT OUTER JOIN book_sort bs ON bi.book_sort_id = bs.book_sort_id WHERE bi.book_name = 'Java';
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+----------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+----------------------------------------------------+
| | SIMPLE | bi | NULL | ref | book_name | book_name | | const | | 100.00 | NULL |
| | SIMPLE | bs | NULL | ALL | NULL | NULL | NULL | NULL | | 100.00 | Using where; Using join buffer (Block Nested Loop) |
+----+-------------+-------+------------+------+---------------+-----------+---------+-------+------+----------+----------------------------------------------------+
rows in set, warning (0.00 sec) mysql>
mysql>
如果此时右表的book_sort_id添加主键索引，此时两条都使用了索引查询，增加了查询效率，如下所示：
mysql> EXPLAIN
-> SELECT * from book_info bi LEFT OUTER JOIN book_sort bs ON bi.book_sort_id = bs.book_sort_id WHERE bi.book_name = 'Java';
+----+-------------+-------+------------+--------+---------------+-----------+---------+----------------------+------+----------+-------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+---------------+-----------+---------+----------------------+------+----------+-------+
| | SIMPLE | bi | NULL | ref | book_name | book_name | | const | | 100.00 | NULL |
| | SIMPLE | bs | NULL | eq_ref | PRIMARY | PRIMARY | | book.bi.book_sort_id | | 100.00 | NULL |
+----+-------------+-------+------------+--------+---------------+-----------+---------+----------------------+------+----------+-------+
rows in set, warning (0.01 sec) mysql>
11、避免mysql索引失效的一些原则。sql优化，是一种概率层面的优化，至于是否实际使用了我们的优化，需要通过explain进行推测。索引优化，是一个大部分情况适用的结论，但是由于SQL优化器等原因，该结论不是100%正确的。
1）、复合索引的时候不要跨列或者无序使用（最佳左前缀原则）。复合索引，尽量使用全索引匹配。对于复合索引，如果前面的字段索引失效，后面的字段索引就失效了。
2）、不要在索引上进行任何操作（进行计算，函数，类型转换），否则索引失效。
3）、复合索引不能使用不等于（!= 或者 <>）或者is null（is not null），否则自身以及右侧所有全部失效。复合索引中如果有>大于号，则自身和右侧索引全部失效。一般而言，范围查询>、<、in之后的索引失效。
4）、like尽量以"常量"开头，不要以'%'开头，可以将%加到常量的后面，否则索引失效。如果非要以%开头，可以使用索引覆盖，即模糊查询的字段作为查询出的字段，不用回表查询。
5）、尽量不要使用类型转换（显式转换、隐式转换），否则都会使索引失效。
6）、尽量不要使用or，否则索引失效。会将or左侧的索引失效了。
7）、对于exist和in，如果主查询的数据集大，则使用In，此时In的效率高些。如果子查询的数据集大，则使用exist，此时exist的效率高些。exist的含义就是将主查询的结果，放到子查询的结果中进行校验（看子查询是否有数据，如果有数据，则校验成功），如果复合校验，则保留数据。
8）、order by优化，using filesort有两种算法，双路排序、单路排序（根据IO的次数）。Mysql4.1之前默认使用的是双路排序，Mysql4.1之后使用的是单路排序。双路就是两次IO，会扫描两次磁盘，第一次从磁盘读取排序字段，对排序字段进行排序，第二次扫描其他字段，IO消耗性能。单路排序只读取一次，这一次就是全部的字段，在buffer中进行排序，但是单路排序，会有一定的隐患，不一定是真的一次IO，有可能是多次IO，如果数据量特别大，则无法将所有字段的数据一次性读取完毕，因此会进行分片读取。注意，单路排序会比双路排序占用更多的buffer，单路排序在使用的时候，如果数据量过大，可以考虑调大buffer的容量大小，set max_length_for_sort_data=1024，单位是字节。如果max_length_for_sort_data值太低，则mysql会自动从单路切换到双路，太低的条件是需要排序的列的总大小超过了max_length_for_sort_data定义的字节数。
总结：提高order by查询的策略，可以选择使用单路，双路，调整buffer的容量大小。避免select *的查询，只查询出需要的字段即可。复合索引，不要跨列使用，避免出现using filesort。保证全部的排序字段排序的一致性，都是升序排序或者都是降序排列。
12、mysql的慢查询日志，mysql提供的一种日志记录，用于记录mysql中响应时间超过阈值的sql语句long_query_time，默认是10秒。慢查询日志默认是关闭的，建议，在开发调优的时候打开，项目上线关闭即可。
检查是否开启了慢查询日志，如下所示：
mysql> show variables like '%slow_query_log%';
+---------------------+-----------------------------------+
| Variable_name | Value |
+---------------------+-----------------------------------+
| slow_query_log | OFF |
| slow_query_log_file | /var/lib/mysql/k8s-node3-slow.log |
+---------------------+-----------------------------------+
rows in set (0.00 sec) mysql>
开启mysql的慢查询日志，临时开启，重启mysql就关闭mysql的慢查询了，在内存中开启，如下所示：
mysql> set global slow_query_log = ;
Query OK, rows affected (0.02 sec) mysql> show variables like '%slow_query_log%';
+---------------------+-----------------------------------+
| Variable_name | Value |
+---------------------+-----------------------------------+
| slow_query_log | ON |
| slow_query_log_file | /var/lib/mysql/k8s-node3-slow.log |
+---------------------+-----------------------------------+
rows in set (0.01 sec) mysql>
开启mysql的慢查询日志，永久开启，修改配置文件/etc/my.cnf，如下所示：
[mysqld]
slow_query_log=
slow_query_log_file=/var/lib/mysql/localhost-slow.log
重启mysql，然后查看是否已经开启了慢查询，如下所示：
[root@k8s-node3 ~]# vim /etc/my.cnf
[root@k8s-node3 ~]# systemctl restart mysqld.service
[root@k8s-node3 ~]# mysql -uroot -h127.0.0. -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7.-log MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show variables like '%slow_query_log%';
+---------------------+-----------------------------------+
| Variable_name | Value |
+---------------------+-----------------------------------+
| slow_query_log | ON |
| slow_query_log_file | /var/lib/mysql/localhost-slow.log |
+---------------------+-----------------------------------+
rows in set (0.01 sec) mysql>
查看慢查询的默认超时时间，默认超时时间是10秒钟，如下所示：
mysql> show variables like '%long_query_time%';
+-----------------+-----------+
| Variable_name | Value |
+-----------------+-----------+
| long_query_time | 10.000000 |
+-----------------+-----------+
row in set (0.00 sec) mysql>
mysql的慢查询日志，临时超时阈值时间设置set global long_query_time = 5.000000;，需要重新登录mysql才生效，如下所示：
mysql> show variables like '%long_query_time%';
+-----------------+-----------+
| Variable_name | Value |
+-----------------+-----------+
| long_query_time | 10.000000 |
+-----------------+-----------+
row in set (0.00 sec) mysql> set global long_query_time = 5.000000;
Query OK, rows affected (0.00 sec) mysql> show variables like '%long_query_time%';
+-----------------+-----------+
| Variable_name | Value |
+-----------------+-----------+
| long_query_time | 10.000000 |
+-----------------+-----------+
row in set (0.00 sec) mysql> exit;
Bye
[root@k8s-node3 ~]# mysql -uroot -h127.0.0. -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7.-log MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show variables like '%long_query_time%';
+-----------------+----------+
| Variable_name | Value |
+-----------------+----------+
| long_query_time | 5.000000 |
+-----------------+----------+
row in set (0.00 sec) mysql>
mysql的慢查询日志，永久超时阈值时间设置，需要重启mysql服务，如下所示：
[mysqld]
slow_query_log=
slow_query_log_file=/var/lib/mysql/localhost-slow.log
long_query_time=
重启mysql服务，如下所示：
[root@k8s-node3 ~]# systemctl restart mysqld.service
[root@k8s-node3 ~]# mysql -uroot -h127.0.0. -p123456
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is
Server version: 5.7.-log MySQL Community Server (GPL) Copyright (c) , , Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show variables like '%long_query_time%';
+-----------------+----------+
| Variable_name | Value |
+-----------------+----------+
| long_query_time | 3.000000 |
+-----------------+----------+
row in set (0.00 sec) mysql>
mysql的慢查询日志，查看慢查询的条数，如下所示：
mysql> select sleep();
+----------+
| sleep() |
+----------+
| |
+----------+
row in set (4.01 sec) mysql> show global status like '%slow_queries%';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| Slow_queries | |
+---------------+-------+
row in set (0.00 sec) mysql>
慢查询的sql被记录在了日志中，我们可以通过日志查看具体的慢sql，目录var/lib/mysql/localhost-slow.log是我们自己配置的，如下所示：
[root@k8s-node3 ~]# cat /var/lib/mysql/localhost-slow.log
/usr/sbin/mysqld, Version: 5.7.-log (MySQL Community Server (GPL)). started with:
Tcp port: Unix socket: /var/lib/mysql/mysql.sock
Time Id Command Argument
/usr/sbin/mysqld, Version: 5.7.-log (MySQL Community Server (GPL)). started with:
Tcp port: Unix socket: /var/lib/mysql/mysql.sock
Time Id Command Argument
# Time: --19T13::.111649Z
# User@Host: root[root] @ localhost [127.0.0.1] Id:
# Query_time: 4.003324 Lock_time: 0.000000 Rows_sent: Rows_examined:
SET timestamp=;
select sleep();
[root@k8s-node3 ~]#
也可以通过mysqldumpslow工具查看慢sql，此是mysql自带的工具，s代表了排序方式，r代表了逆序，l代表了锁定时间，g代表了正则匹配模式，如下所示：
[root@k8s-node3 ~]# mysqldumpslow --help
Usage: mysqldumpslow [ OPTS... ] [ LOGS... ] Parse and summarize the MySQL slow query log. Options are --verbose verbose
--debug debug
--help write this text to standard output -v verbose
-d debug
-s ORDER what to sort by (al, at, ar, c, l, r, t), 'at' is default
al: average lock time
ar: average rows sent
at: average query time
c: count
l: lock time
r: rows sent
t: query time
-r reverse the sort order (largest last instead of first)
-t NUM just show the top n queries
-a don't abstract all numbers to N and strings to 'S'
-n NUM abstract numbers with at least n digits within names
-g PATTERN grep: only consider stmts that include this string
-h HOSTNAME hostname of db server for *-slow.log filename (can be wildcard),
default is '*', i.e. match all
-i NAME name of server instance (if using mysql.server startup script)
-l don't subtract lock time from total time [root@k8s-node3 ~]#
mysqldumpslow具体使用，如下所示：
[root@k8s-node3 ~]# mysqldumpslow -s -r -t /var/lib/mysql/localhost-slow.log Reading mysql slow query log from /var/lib/mysql/localhost-slow.log
Count: Time=.33s (26s) Lock=.00s (0s) Rows=1.0 (), root[root]@localhost
select sleep(N) Died at /usr/bin/mysqldumpslow line , <> chunk .
[root@k8s-node3 ~]# mysqldumpslow -s -c -t /var/lib/mysql/localhost-slow.log Reading mysql slow query log from /var/lib/mysql/localhost-slow.log
Count: Time=.33s (26s) Lock=.00s (0s) Rows=1.0 (), root[root]@localhost
select sleep(N) Died at /usr/bin/mysqldumpslow line , <> chunk .
[root@k8s-node3 ~]# mysqldumpslow -s t -t "left join" /var/lib/mysql/localhost-slow.log Reading mysql slow query log from left join /var/lib/mysql/localhost-slow.log
Can't open left join: No such file or directory at /usr/bin/mysqldumpslow line 97.
Count: Time=.33s (26s) Lock=.00s (0s) Rows=1.0 (), root[root]@localhost
select sleep(N) Died at /usr/bin/mysqldumpslow line , <> chunk .
[root@k8s-node3 ~]# mysqldumpslow -s t -t -g "left join" /var/lib/mysql/localhost-slow.log Reading mysql slow query log from /var/lib/mysql/localhost-slow.log
Died at /usr/bin/mysqldumpslow line , <> chunk .
[root@k8s-node3 ~]#
13、通过profiles分析mysql的海量数据。首先创建两个数据表，如下所示：
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = ; -- ----------------------------
-- Table structure for dept
-- ----------------------------
DROP TABLE IF EXISTS `dept`;
CREATE TABLE `dept` (
`dno` int() NOT NULL,
`dname` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
`location` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
PRIMARY KEY (`dno`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ----------------------------
-- Table structure for emp
-- ----------------------------
DROP TABLE IF EXISTS `emp`;
CREATE TABLE `emp` (
`eid` int() NOT NULL,
`ename` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
`job` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
`deptno` int() DEFAULT NULL,
PRIMARY KEY (`eid`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
创建一个存储函数，方便海量插入数据，如下所示：
-- ----------------------------
-- Function structure for randstring
-- ----------------------------
DROP FUNCTION IF EXISTS `randstring`;
delimiter ;;
CREATE DEFINER=`root`@`localhost` FUNCTION `randstring`( n INT ) RETURNS varchar() CHARSET utf8
BEGIN
DECLARE
all_str VARCHAR ( ) DEFAULT 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ';
DECLARE
return_str VARCHAR ( ) DEFAULT '';
DECLARE
i INT DEFAULT ;
WHILE
i < n DO SET return_str = CONCAT( return_str, SUBSTRING( all_str, FLOOR( + RAND( ) * ), ) ); SET i = i + ; END WHILE;
RETURN return_str; END
;;
delimiter ; SET FOREIGN_KEY_CHECKS = ; -- 执行，如下所示： mysql> delimiter $
mysql> CREATE FUNCTION randstring ( n INT ) RETURNS VARCHAR ( ) BEGIN
-> DECLARE
-> all_str VARCHAR ( ) DEFAULT 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ';
-> DECLARE
-> return_str VARCHAR ( ) DEFAULT '';
-> DECLARE
-> i INT DEFAULT ;
-> WHILE
-> i < n DO
->
-> SET return_str = CONCAT( return_str, SUBSTRING( all_str, FLOOR( + RAND( ) * ), ) );
->
-> SET i = i + ;
->
-> END WHILE;
-> RETURN return_str;
->
-> END $
Query OK, rows affected (0.03 sec) mysql>
创建一个生成随机数0-99的存储函数，如下所示：
-- 防止分号造成语义中断。 delimiter $
CREATE FUNCTION rand_num ( ) RETURNS INT ( ) BEGIN
DECLARE
i INT DEFAULT ; SET i = FLOOR( rand( ) * );
RETURN i; END $
通过存储过程插入海量数据，把上面的两个存储函数使用上，注意，存储函数有返回值，存储过程没有返回值，如下所示：
mysql>
mysql> delimiter $
mysql> CREATE PROCEDURE insert_emp ( IN eid_start INT ( ), IN data_times INT ( ) ) BEGIN
-> DECLARE
-> i INT DEFAULT ;
->
-> SET autocommit = ;
-> REPEAT
-> INSERT INTO emp
-> VALUES
-> ( eid_start + i, randstring ( ), 'other', rand_num ( ) );
->
-> SET i = i + ;
-> UNTIL i = data_times
-> END REPEAT;
-> COMMIT;
->
-> END $
Query OK, rows affected (0.01 sec) mysql>
mysql>
mysql> delimiter $
mysql> CREATE PROCEDURE insert_dept ( IN dno_start INT ( ), IN data_times INT ( ) ) BEGIN
-> DECLARE
-> i INT DEFAULT ;
->
-> SET autocommit = ;
-> REPEAT
-> INSERT INTO dept
-> VALUES
-> ( dno_start + i, randstring ( ), randstring ( ) );
->
-> SET i = i + ;
-> UNTIL i = data_times
-> END REPEAT;
-> COMMIT;
->
-> END $
Query OK, rows affected (0.00 sec) mysql>
编写好存储过程之后，就可以开始调用存储过程了，开始批量插入数据，如下所示：
mysql> delimiter ;
mysql> CALL insert_emp(,);
Query OK, rows affected ( min 8.33 sec) mysql> mysql> delimiter ;
mysql> CALL insert_dept(,);
Query OK, rows affected (0.01 sec) mysql> mysql> select count(*) from emp;
+----------+
| count(*) |
+----------+
| |
+----------+
row in set (0.22 sec) mysql> select count(*) from dept;
+----------+
| count(*) |
+----------+
| |
+----------+
row in set (0.00 sec) mysql>
海量数据已经生成了，这里通过profiles分析mysql的海量数据。 默认关闭，需要打开，如下所示：
mysql> show profiles;
Empty set, warning (0.00 sec) mysql> show variables like '%profiling%';
+------------------------+-------+
| Variable_name | Value |
+------------------------+-------+
| have_profiling | YES |
| profiling | OFF |
| profiling_history_size | |
+------------------------+-------+
rows in set (0.04 sec) mysql> set profiling = on;
Query OK, rows affected, warning (0.00 sec) mysql> show variables like '%profiling%';
+------------------------+-------+
| Variable_name | Value |
+------------------------+-------+
| have_profiling | YES |
| profiling | ON |
| profiling_history_size | |
+------------------------+-------+
rows in set (0.01 sec) mysql> show profiles;
+----------+------------+-----------------------------------+
| Query_ID | Duration | Query |
+----------+------------+-----------------------------------+
| | 0.00209325 | show variables like '%profiling%' |
+----------+------------+-----------------------------------+
row in set, warning (0.00 sec) mysql>
show profiles会记录所有profiling打开之后的的所有sql查询语句。Query_ID是编号，Duration表示花费的时间，单位是秒，Query是查询的语句。
mysql> show profiles;
+----------+------------+-----------------------------------+
| Query_ID | Duration | Query |
+----------+------------+-----------------------------------+
| | 0.00209325 | show variables like '%profiling%' |
+----------+------------+-----------------------------------+
row in set, warning (0.00 sec) mysql> select count(*) from dept;
+----------+
| count(*) |
+----------+
| |
+----------+
row in set (0.00 sec) mysql> show profiles;
+----------+------------+-----------------------------------+
| Query_ID | Duration | Query |
+----------+------------+-----------------------------------+
| | 0.00209325 | show variables like '%profiling%' |
| | 0.00075825 | select count(*) from dept |
+----------+------------+-----------------------------------+
rows in set, warning (0.00 sec) mysql>
缺点，是Duration显示的时间不够精准，只是将cpu、IO、内存等等消费的总和。只能看到总共消费的时间，不能看到各个硬件消费的时间。
如何进行精准分析呢，需要通过一个sql诊断show profile all for query 上一步查询的Query_ID。
mysql> show profiles;
+----------+------------+-----------------------------------+
| Query_ID | Duration | Query |
+----------+------------+-----------------------------------+
| | 0.00209325 | show variables like '%profiling%' |
| | 0.00075825 | select count(*) from dept |
| | 0.00071025 | select * from dept |
+----------+------------+-----------------------------------+
rows in set, warning (0.00 sec) mysql> show profile all for query ;
+----------------------+----------+----------+------------+-------------------+---------------------+--------------+---------------+---------------+-------------------+-------------------+-------------------+-------+-----------------------+----------------------+-------------+
| Status | Duration | CPU_user | CPU_system | Context_voluntary | Context_involuntary | Block_ops_in | Block_ops_out | Messages_sent | Messages_received | Page_faults_major | Page_faults_minor | Swaps | Source_function | Source_file | Source_line |
+----------------------+----------+----------+------------+-------------------+---------------------+--------------+---------------+---------------+-------------------+-------------------+-------------------+-------+-----------------------+----------------------+-------------+
| starting | 0.000102 | 0.000097 | 0.000000 | | | | | | | | | | NULL | NULL | NULL |
| checking permissions | 0.000017 | 0.000012 | 0.000000 | | | | | | | | | | check_access | sql_authorization.cc | |
| Opening tables | 0.000061 | 0.000064 | 0.000000 | | | | | | | | | | open_tables | sql_base.cc | |
| init | 0.000077 | 0.000077 | 0.000000 | | | | | | | | | | handle_query | sql_select.cc | |
| System lock | 0.000019 | 0.000016 | 0.000000 | | | | | | | | | | mysql_lock_tables | lock.cc | |
| optimizing | 0.000007 | 0.000006 | 0.000000 | | | | | | | | | | optimize | sql_optimizer.cc | |
| statistics | 0.000054 | 0.000058 | 0.000000 | | | | | | | | | | optimize | sql_optimizer.cc | |
| preparing | 0.000022 | 0.000018 | 0.000000 | | | | | | | | | | optimize | sql_optimizer.cc | |
| executing | 0.000005 | 0.000005 | 0.000000 | | | | | | | | | | exec | sql_executor.cc | |
| Sending data | 0.000164 | 0.000169 | 0.000000 | | | | | | | | | | exec | sql_executor.cc | |
| end | 0.000013 | 0.000009 | 0.000000 | | | | | | | | | | handle_query | sql_select.cc | |
| query end | 0.000009 | 0.000009 | 0.000000 | | | | | | | | | | mysql_execute_command | sql_parse.cc | |
| closing tables | 0.000009 | 0.000009 | 0.000000 | | | | | | | | | | mysql_execute_command | sql_parse.cc | |
| freeing items | 0.000115 | 0.000118 | 0.000000 | | | | | | | | | | mysql_parse | sql_parse.cc | |
| cleaning up | 0.000037 | 0.000034 | 0.000000 | | | | | | | | | | dispatch_command | sql_parse.cc | |
+----------------------+----------+----------+------------+-------------------+---------------------+--------------+---------------+---------------+-------------------+-------------------+-------------------+-------+-----------------------+----------------------+-------------+
rows in set, warning (0.01 sec) mysql>
如果只关心部分字段，可以进行部分字段的查询，如下所示：
mysql> show profile cpu,block io for query ;
+----------------------+----------+----------+------------+--------------+---------------+
| Status | Duration | CPU_user | CPU_system | Block_ops_in | Block_ops_out |
+----------------------+----------+----------+------------+--------------+---------------+
| starting | 0.000102 | 0.000097 | 0.000000 | | |
| checking permissions | 0.000017 | 0.000012 | 0.000000 | | |
| Opening tables | 0.000061 | 0.000064 | 0.000000 | | |
| init | 0.000077 | 0.000077 | 0.000000 | | |
| System lock | 0.000019 | 0.000016 | 0.000000 | | |
| optimizing | 0.000007 | 0.000006 | 0.000000 | | |
| statistics | 0.000054 | 0.000058 | 0.000000 | | |
| preparing | 0.000022 | 0.000018 | 0.000000 | | |
| executing | 0.000005 | 0.000005 | 0.000000 | | |
| Sending data | 0.000164 | 0.000169 | 0.000000 | | |
| end | 0.000013 | 0.000009 | 0.000000 | | |
| query end | 0.000009 | 0.000009 | 0.000000 | | |
| closing tables | 0.000009 | 0.000009 | 0.000000 | | |
| freeing items | 0.000115 | 0.000118 | 0.000000 | | |
| cleaning up | 0.000037 | 0.000034 | 0.000000 | | |
+----------------------+----------+----------+------------+--------------+---------------+
rows in set, warning (0.00 sec) mysql>
查看全局的查询日志（默认关闭的，需要手动开启），记录开启之后的，全部sql语句。这些全局的记录操作，仅仅在调优和开发过程中打开即可，在正式环境要进行关闭的，如下所示：
mysql> show variables like '%general_log%';
+------------------+------------------------------+
| Variable_name | Value |
+------------------+------------------------------+
| general_log | OFF |
| general_log_file | /var/lib/mysql/k8s-node3.log |
+------------------+------------------------------+
rows in set (0.01 sec) mysql> set global general_log = ;
Query OK, rows affected (0.00 sec) mysql> show variables like '%general_log%';
+------------------+------------------------------+
| Variable_name | Value |
+------------------+------------------------------+
| general_log | ON |
| general_log_file | /var/lib/mysql/k8s-node3.log |
+------------------+------------------------------+
rows in set (0.00 sec) mysql>
mysql> set global log_output='table';
Query OK, rows affected (0.00 sec)
开启之后，会记录所有的sql语句的，会被记录到mysql.general_log数据表中，如下所示：
[root@k8s-node3 ~]# cat /var/lib/mysql/k8s-node3.log
/usr/sbin/mysqld, Version: 5.7.-log (MySQL Community Server (GPL)). started with:
Tcp port: Unix socket: /var/lib/mysql/mysql.sock
Time Id Command Argument
--20T07::.834131Z Query show variables like '%general_log%'
--20T07::.165503Z Query SELECT DATABASE()
--20T07::.166003Z Init DB bigdata
--20T07::.168232Z Query show databases
--20T07::.169327Z Query show tables
--20T07::.169786Z Field List dept
--20T07::.171001Z Field List emp
--20T07::.196072Z Query show tables
--20T07::.721455Z Query select * from dept
--20T07::.914896Z Query select * from emp limit
--20T07::.237933Z Query show variables like '%general_log%'
[root@k8s-node3 ~]#
如果开启了mysql> set global log_output='table';也可以查看mysql的数据表来查看sql语句，如下所示：
注意：这里既可以指定表也可以指定文件，看个人需求了：set global log_output='table';或者set global log_output='file';
mysql> select * from mysql.general_log;
+----------------------------+------------------------------------+-----------+-----------+--------------+---------------------------------+
| event_time | user_host | thread_id | server_id | command_type | argument |
+----------------------------+------------------------------------+-----------+-----------+--------------+---------------------------------+
| -- ::52.374558 | root[root] @ localhost [127.0.0.1] | | | Query | select * from mysql.general_log |
| -- ::27.112186 | root[root] @ localhost [127.0.0.1] | | | Query | select * from dept |
| -- ::30.430782 | root[root] @ localhost [127.0.0.1] | | | Query | select * from emp limit |
| -- ::32.430116 | root[root] @ localhost [127.0.0.1] | | | Query | select * from mysql.general_log |
+----------------------------+------------------------------------+-----------+-----------+--------------+---------------------------------+
rows in set (0.00 sec) mysql>
14、锁机制，解决因资源共享而造成的并发问题。锁的分类，根据操作类型分，可以分为读锁（读锁也称为共享锁）、写锁（写锁也称为互斥锁）。根据操作范围来分，可以分为表级锁、行级锁、页级锁。
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = ; -- ----------------------------
-- Table structure for user
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` int() NOT NULL AUTO_INCREMENT,
`name` varchar() CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = MyISAM AUTO_INCREMENT = CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES (, '张三');
INSERT INTO `user` VALUES (, '李四');
INSERT INTO `user` VALUES (, '王五');
INSERT INTO `user` VALUES (, '赵六');
INSERT INTO `user` VALUES (, '孙七'); SET FOREIGN_KEY_CHECKS = ;
14.1、根据操作类型分，可以分为读锁、写锁。
1）、读锁（共享锁）：对同一个数据，多个读操作可以同时进行，互不干扰。
2）、写锁（互斥锁）：如果当前写操作没有完毕，则无法进行其他的读操作，写操作。
14.2、根据操作范围来分，可以分为表级锁、行级锁、页级锁。
1）、表级锁：一次性对一张表整体加锁。MyISAM存储引擎（开销小，加锁快，缺点就是锁的范围大容易发生锁冲突，并发度低），是表级锁，性能优化。
2）、行级锁：一次性对一行数据进行加锁。InnoDB存储引擎（开销大，加锁慢，容易出现死锁，锁的范围较小，不易发生锁冲突，并发度高，很小的概率发生高并发问题，这些问题分别是脏读、幻读、不可重复读、丢失更新），是行级锁，事务优先，适合高并发操作。
14.3、如何查看加锁的表呢，如下所示：
mysql> show open tables;
+--------------------+------------------------------------------------------+--------+-------------+
| Database | Table | In_use | Name_locked |
+--------------------+------------------------------------------------------+--------+-------------+
| performance_schema | events_waits_summary_by_user_by_event_name | | |
| performance_schema | events_waits_summary_global_by_event_name | | |
| performance_schema | events_transactions_summary_global_by_event_name | | |
| performance_schema | replication_connection_status | | |
| performance_schema | events_waits_summary_by_account_by_event_name | | |
| mysql | engine_cost | | |
| performance_schema | metadata_locks | | |
| performance_schema | status_by_user | | |
| performance_schema | replication_group_member_stats | | |
| performance_schema | events_statements_summary_by_account_by_event_name | | |
| performance_schema | socket_summary_by_event_name | | |
| performance_schema | prepared_statements_instances | | |
| performance_schema | events_statements_history_long | | |
| performance_schema | objects_summary_global_by_type | | |
| performance_schema | file_instances | | |
| performance_schema | events_stages_summary_by_user_by_event_name | | |
| performance_schema | memory_summary_by_thread_by_event_name | | |
| performance_schema | events_stages_history_long | | |
| performance_schema | cond_instances | | |
| performance_schema | global_status | | |
| performance_schema | socket_summary_by_instance | | |
| book | user_info | | |
| performance_schema | session_status | | |
| performance_schema | session_connect_attrs | | |
| mysql | plugin | | |
| mysql | time_zone_name | | |
| performance_schema | events_statements_summary_by_program | | |
| performance_schema | events_stages_current | | |
| performance_schema | setup_instruments | | |
| book | book_sort | | |
| book | book_recommendation | | |
| mysql | func | | |
| performance_schema | events_waits_history_long | | |
| performance_schema | rwlock_instances | | |
| mysql | time_zone_leap_second | | |
| performance_schema | table_io_waits_summary_by_table | | |
| performance_schema | events_transactions_summary_by_account_by_event_name | | |
| mysql | time_zone_transition_type | | |
| performance_schema | events_waits_current | | |
| performance_schema | replication_connection_configuration | | |
| mysql | procs_priv | | |
| performance_schema | events_transactions_summary_by_user_by_event_name | | |
| performance_schema | replication_applier_configuration | | |
| performance_schema | events_statements_summary_by_user_by_event_name | | |
| performance_schema | events_stages_summary_global_by_event_name | | |
| performance_schema | replication_applier_status_by_worker | | |
| performance_schema | events_waits_summary_by_thread_by_event_name | | |
| performance_schema | session_account_connect_attrs | | |
| performance_schema | performance_timers | | |
| performance_schema | setup_consumers | | |
| performance_schema | events_statements_history | | |
| bigdata | emp | | |
| performance_schema | global_variables | | |
| mysql | gtid_executed | | |
| mysql | columns_priv | | |
| performance_schema | events_transactions_summary_by_thread_by_event_name | | |
| performance_schema | replication_applier_status_by_coordinator | | |
| mysql | db | | |
| mysql | general_log | | |
| performance_schema | events_stages_summary_by_account_by_event_name | | |
| performance_schema | variables_by_thread | | |
| book | user_book | | |
| performance_schema | events_stages_history | | |
| bigdata | dept | | |
| performance_schema | socket_instances | | |
| performance_schema | table_lock_waits_summary_by_table | | |
| mysql | time_zone | | |
| performance_schema | events_statements_summary_by_thread_by_event_name | | |
| performance_schema | users | | |
| performance_schema | setup_timers | | |
| performance_schema | memory_summary_by_host_by_event_name | | |
| performance_schema | setup_objects | | |
| performance_schema | host_cache | | |
| performance_schema | status_by_account | | |
| mysql | proxies_priv | | |
| performance_schema | memory_summary_by_account_by_event_name | | |
| performance_schema | accounts | | |
| performance_schema | replication_group_members | | |
| mysql | tables_priv | | |
| performance_schema | events_stages_summary_by_host_by_event_name | | |
| performance_schema | events_statements_current | | |
| mysql | proc | | |
| performance_schema | events_waits_summary_by_instance | | |
| performance_schema | events_statements_summary_by_host_by_event_name | | |
| performance_schema | memory_summary_by_user_by_event_name | | |
| performance_schema | events_transactions_history | | |
| mysql | event | | |
| performance_schema | status_by_host | | |
| performance_schema | setup_actors | | |
| performance_schema | threads | | |
| performance_schema | events_statements_summary_global_by_event_name | | |
| performance_schema | status_by_thread | | |
| performance_schema | file_summary_by_event_name | | |
| performance_schema | mutex_instances | | |
| performance_schema | table_handles | | |
| performance_schema | session_variables | | |
| bigdata | user | | |
| book | book_info | | |
| performance_schema | events_transactions_current | | |
| performance_schema | user_variables_by_thread | | |
| mysql | time_zone_transition | | |
| performance_schema | table_io_waits_summary_by_index_usage | | |
| performance_schema | events_transactions_history_long | | |
| performance_schema | memory_summary_global_by_event_name | | |
| performance_schema | events_statements_summary_by_digest | | |
| performance_schema | events_transactions_summary_by_host_by_event_name | | |
| performance_schema | events_waits_history | | |
| mysql | user | | |
| performance_schema | events_waits_summary_by_host_by_event_name | | |
| performance_schema | events_stages_summary_by_thread_by_event_name | | |
| performance_schema | file_summary_by_instance | | |
| mysql | server_cost | | |
| performance_schema | hosts | | |
| performance_schema | replication_applier_status | | |
| mysql | servers | | |
+--------------------+------------------------------------------------------+--------+-------------+
rows in set (0.01 sec) mysql>
如何加锁呢，如是，lock table 表1 read/write,表2 read/write...。首先研究的是MyISAM存储引擎的读锁，读锁（共享锁）：对同一个数据，多个读操作可以同时进行，互不干扰。
mysql> lock table user read;
Query OK, rows affected (0.00 sec) mysql> select * from user;
+----+--------+
| id | name |
+----+--------+
| | 张三 |
| | 李四 |
| | 王五 |
| | 赵六 |
| | 孙七 |
+----+--------+
rows in set (0.00 sec) mysql>
加了读锁，是不可以进行写的（写操作就是增加、修改、删除），读就是查询。
mysql> delete from user where id = ;
ERROR (HY000): Table 'user' was locked with a READ lock and can't be updated
mysql>
总结：MyISAM存储引擎，如果某一个会话，对A表加了read锁，则该会话可以对A表进行读操作，不能进行写操作，且该会话不能对其他表进行读、写操作。会话0给A表加了锁，其它会话，是可以对其他表（A表以外的表）进行读、写操作。对A表是可以读的，但是写操作的时候需要等待读锁的释放。
14.4、加写锁，会话0加写锁，如下所示：
总结：当前会话即会话0，可以对加了写锁的表进行任何操作（增删改查操作），但是不能操作（增删改查）其他表。对会话0中加写锁的表，可以进行增删改查的前提是，等待会话0释放写锁。
14.5、Mysql中表级锁的锁模式，MyISAM在执行查询语句Select前，会自动给涉及到的所有表加读锁，在执行更新操作DML前，会自动给涉及的表加写锁。所以对MyISAM表进行操作的时候会有以下情况：
a、对MyISAM表的读操作（加读锁），不会阻塞其他进程（会话）对同一表的读请求，但会阻塞对同一表的写请求。只有当读锁释放后，才会执行其他进程的写操作。
b、对MyISAM表的写操作（加写锁），会阻塞其他进程（会话）对同一表的读和写操作，只有当写锁释放后，才会执行其他进程的读写操作。
15、表锁情况分析及行锁解析，分析表锁定。
1）、查看那些表加了锁：show open tables;其中1代表加了锁。
2）、分析表锁定的严重程度：show status like 'table%';其中Table_locks_immediate表示立刻可以获取到的锁。Table_locks_waited代表了需要等待的表锁数，如果该值越大说明存在越大的锁竞争。
3）、一般建议使用Table_locks_immediate/Table_locks_waited比率来看，如果大于5000采用InnoDB引擎，如果小于5000采用MyISAM存储引擎。表锁是通过unlock tables解锁的，也可以通过事务进行解锁的，行锁是通过事务commit/rollback解锁的。
mysql> show open tables;
+--------------------+------------------------------------------------------+--------+-------------+
| Database | Table | In_use | Name_locked |
+--------------------+------------------------------------------------------+--------+-------------+
| performance_schema | events_waits_summary_by_user_by_event_name | | |
| performance_schema | events_waits_summary_global_by_event_name | | |
| performance_schema | events_transactions_summary_global_by_event_name | | |
| performance_schema | replication_connection_status | | |
| performance_schema | events_waits_summary_by_account_by_event_name | | |
| mysql | engine_cost | | |
| performance_schema | metadata_locks | | |
| performance_schema | status_by_user | | |
| performance_schema | replication_group_member_stats | | |
| performance_schema | events_statements_summary_by_account_by_event_name | | |
| performance_schema | socket_summary_by_event_name | | |
| performance_schema | prepared_statements_instances | | |
| performance_schema | events_statements_history_long | | |
| performance_schema | objects_summary_global_by_type | | |
| performance_schema | file_instances | | |
| performance_schema | events_stages_summary_by_user_by_event_name | | |
| performance_schema | memory_summary_by_thread_by_event_name | | |
| performance_schema | events_stages_history_long | | |
| performance_schema | cond_instances | | |
| performance_schema | global_status | | |
| performance_schema | socket_summary_by_instance | | |
| book | user_info | | |
| performance_schema | session_status | | |
| performance_schema | session_connect_attrs | | |
| mysql | plugin | | |
| mysql | time_zone_name | | |
| performance_schema | events_statements_summary_by_program | | |
| performance_schema | events_stages_current | | |
| performance_schema | setup_instruments | | |
| book | book_sort | | |
| book | book_recommendation | | |
| mysql | func | | |
| performance_schema | events_waits_history_long | | |
| performance_schema | rwlock_instances | | |
| mysql | time_zone_leap_second | | |
| performance_schema | table_io_waits_summary_by_table | | |
| performance_schema | events_transactions_summary_by_account_by_event_name | | |
| mysql | time_zone_transition_type | | |
| performance_schema | events_waits_current | | |
| performance_schema | replication_connection_configuration | | |
| mysql | procs_priv | | |
| performance_schema | events_transactions_summary_by_user_by_event_name | | |
| performance_schema | replication_applier_configuration | | |
| performance_schema | events_statements_summary_by_user_by_event_name | | |
| performance_schema | events_stages_summary_global_by_event_name | | |
| performance_schema | replication_applier_status_by_worker | | |
| performance_schema | events_waits_summary_by_thread_by_event_name | | |
| performance_schema | session_account_connect_attrs | | |
| performance_schema | performance_timers | | |
| performance_schema | setup_consumers | | |
| performance_schema | events_statements_history | | |
| bigdata | emp | | |
| performance_schema | global_variables | | |
| mysql | gtid_executed | | |
| mysql | columns_priv | | |
| performance_schema | events_transactions_summary_by_thread_by_event_name | | |
| performance_schema | replication_applier_status_by_coordinator | | |
| mysql | db | | |
| mysql | general_log | | |
| performance_schema | events_stages_summary_by_account_by_event_name | | |
| performance_schema | variables_by_thread | | |
| book | user_book | | |
| performance_schema | events_stages_history | | |
| bigdata | dept | | |
| performance_schema | socket_instances | | |
| performance_schema | table_lock_waits_summary_by_table | | |
| mysql | time_zone | | |
| performance_schema | events_statements_summary_by_thread_by_event_name | | |
| performance_schema | users | | |
| performance_schema | setup_timers | | |
| performance_schema | memory_summary_by_host_by_event_name | | |
| performance_schema | setup_objects | | |
| performance_schema | host_cache | | |
| performance_schema | status_by_account | | |
| mysql | proxies_priv | | |
| performance_schema | memory_summary_by_account_by_event_name | | |
| performance_schema | accounts | | |
| performance_schema | replication_group_members | | |
| mysql | tables_priv | | |
| performance_schema | events_stages_summary_by_host_by_event_name | | |
| performance_schema | events_statements_current | | |
| mysql | proc | | |
| performance_schema | events_waits_summary_by_instance | | |
| performance_schema | events_statements_summary_by_host_by_event_name | | |
| performance_schema | memory_summary_by_user_by_event_name | | |
| performance_schema | events_transactions_history | | |
| mysql | event | | |
| performance_schema | status_by_host | | |
| performance_schema | setup_actors | | |
| performance_schema | threads | | |
| performance_schema | events_statements_summary_global_by_event_name | | |
| performance_schema | status_by_thread | | |
| performance_schema | file_summary_by_event_name | | |
| performance_schema | mutex_instances | | |
| performance_schema | table_handles | | |
| performance_schema | session_variables | | |
| bigdata | user | | |
| book | book_info | | |
| performance_schema | events_transactions_current | | |
| performance_schema | user_variables_by_thread | | |
| mysql | time_zone_transition | | |
| performance_schema | table_io_waits_summary_by_index_usage | | |
| performance_schema | events_transactions_history_long | | |
| performance_schema | memory_summary_global_by_event_name | | |
| performance_schema | events_statements_summary_by_digest | | |
| performance_schema | events_transactions_summary_by_host_by_event_name | | |
| performance_schema | events_waits_history | | |
| mysql | user | | |
| performance_schema | events_waits_summary_by_host_by_event_name | | |
| mysql | slow_log | | |
| performance_schema | file_summary_by_instance | | |
| mysql | server_cost | | |
| performance_schema | hosts | | |
| performance_schema | replication_applier_status | | |
| mysql | servers | | |
| performance_schema | events_stages_summary_by_thread_by_event_name | | |
+--------------------+------------------------------------------------------+--------+-------------+
rows in set (0.01 sec) mysql> show status like 'table%';
+----------------------------+-------+
| Variable_name | Value |
+----------------------------+-------+
| Table_locks_immediate | |
| Table_locks_waited | |
| Table_open_cache_hits | |
| Table_open_cache_misses | |
| Table_open_cache_overflows | |
+----------------------------+-------+
rows in set (0.01 sec) mysql>
16、行锁的注意事项及使用情况分析：
1）、行锁的注意事项，如果没有索引，则行锁会转为表锁。如果索引列发生了类型转换，则索引失效。比如整数转换为字符串类型，导致索引失效，会导致行锁升级为表锁。
2）、行锁的一种特殊情况，间隙锁，值在范围内，但却不存在。行锁如果有where则实际加锁的范围就是where后面的范围，不是数据表中保存的实际的值。
3）、行锁的缺点比表锁性能损耗大，优点是并发能力强，效率高。InnoDB默认采用的是行锁。因此建议高并发采用InnoDB，否则使用MyISAM存储引擎。
17、行锁分析 show status like '%innodb_row_lock%';
1）、Innodb_row_lock_current_waits代表了当前正在等待锁的数量。
2）、Innodb_row_lock_time代表了等待的总时长，从系统启动到现在一共等待的时间。
3）、Innodb_row_lock_time_avg代表了平均等待时长，从系统启动到现在平均等待的时间。
4）、Innodb_row_lock_time_max代表了最大等待时长，从系统启动到现在最大一次等待的时间。
5）、Innodb_row_lock_waits代表了等待次数，从系统启动到现在一共等待的次数。
mysql> show status like '%innodb_row_lock%';
+-------------------------------+-------+
| Variable_name | Value |
+-------------------------------+-------+
| Innodb_row_lock_current_waits | |
| Innodb_row_lock_time | |
| Innodb_row_lock_time_avg | |
| Innodb_row_lock_time_max | |
| Innodb_row_lock_waits | |
+-------------------------------+-------+
rows in set (0.00 sec) mysql>
将Mysql的自动提交关闭的三种方式，第一种方式set autocommit=0;第二种方式start transaction;第三种方式begin；通过for update对query查询语句进行加锁。
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