CREATE [UNIQUE] INDEX index_name ON tbl_name (index_col_name[(length)],...);
ALTER TABLE tbl_name ADD INDEX index_name(index_col_name[(length)]);
help CREATE INDEX;DROP INDEX index_name ON tbl_name;
ALTER TABLE tbl_name DROP INDEX index_name(index_col_name);SHOW INDEX FROM [db_name.]tbl_name;OPTIMIZE TABLE tb_name;SET GLOBAL userstat=1; #MySQL无此变量
SHOW INDEX_STATISTICS;MariaDB [hellodb]> SET GLOBAL userstat=1;
Query OK, 0 rows affected (0.000 sec)
MariaDB [hellodb]> SHOW INDEX_STATISTICS;
Empty set (0.000 sec)
MariaDB [hellodb]> desc students;
+-----------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+---------------------+------+-----+---------+----------------+
| StuID | int(10) unsigned | NO | PRI | NULL | auto_increment |
| Name | varchar(50) | NO | | NULL | |
| Age | tinyint(3) unsigned | NO | | NULL | |
| Gender | enum('F','M') | NO | | NULL | |
| ClassID | tinyint(3) unsigned | YES | | NULL | |
| TeacherID | int(10) unsigned | YES | | NULL | |
+-----------+---------------------+------+-----+---------+----------------+
6 rows in set (0.001 sec)
MariaDB [hellodb]> show index from students\G
*************************** 1. row ***************************
Table: students
Non_unique: 0
Key_name: PRIMARY
Seq_in_index: 1
Column_name: StuID
Collation: A
Cardinality: 25
Sub_part: NULL
Packed: NULL
Null:
Index_type: BTREE
Comment:
Index_comment:
1 row in set (0.000 sec)
MariaDB [hellodb]> SHOW INDEX_STATISTICS;
Empty set (0.000 sec)
MariaDB [hellodb]> select * from students where stuid=10;
+-------+--------------+-----+--------+---------+-----------+
| StuID | Name | Age | Gender | ClassID | TeacherID |
+-------+--------------+-----+--------+---------+-----------+
| 10 | Yue Lingshan | 19 | F | 3 | NULL |
+-------+--------------+-----+--------+---------+-----------+
1 row in set (0.000 sec)
MariaDB [hellodb]> SHOW INDEX_STATISTICS;
+--------------+------------+------------+-----------+
| Table_schema | Table_name | Index_name | Rows_read |
+--------------+------------+------------+-----------+
| hellodb | students | PRIMARY | 1 |
+--------------+------------+------------+-----------+
MariaDB [hellodb]> select * from students where stuid=10;
+-------+--------------+-----+--------+---------+-----------+
| StuID | Name | Age | Gender | ClassID | TeacherID |
+-------+--------------+-----+--------+---------+-----------+
| 10 | Yue Lingshan | 19 | F | 3 | NULL |
+-------+--------------+-----+--------+---------+-----------+
1 row in set (0.000 sec)
MariaDB [hellodb]> SHOW INDEX_STATISTICS;
+--------------+------------+------------+-----------+
| Table_schema | Table_name | Index_name | Rows_read |
+--------------+------------+------------+-----------+
| hellodb | students | PRIMARY | 2 |
+--------------+------------+------------+-----------+
1 row in set (0.000 sec)MariaDB [hellodb]> create index idx_name on students(name(10));
Query OK, 0 rows affected (0.009 sec)
Records: 0 Duplicates: 0 Warnings: 0
MariaDB [hellodb]> show indexes from students\G
MariaDB [hellodb]> explain select * from students where name like 'w%';
MariaDB [hellodb]> explain select * from students where name like 'x%';mysql> desc students;
+-----------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+---------------------+------+-----+---------+----------------+
| StuID | int(10) unsigned | NO | PRI | NULL | auto_increment |
| Name | varchar(50) | NO | | NULL | |
| Age | tinyint(3) unsigned | NO | | NULL | |
| Gender | enum('F','M') | NO | | NULL | |
| ClassID | tinyint(3) unsigned | YES | | NULL | |
| TeacherID | int(10) unsigned | YES | | NULL | |
+-----------+---------------------+------+-----+---------+----------------+
6 rows in set (0.00 sec)mysql> create index idx_name_age on students(name,age);
Query OK, 0 rows affected (0.01 sec)
Records: 0 Duplicates: 0 Warnings: 0
mysql> desc students;
+-----------+---------------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+-----------+---------------------+------+-----+---------+----------------+
| StuID | int(10) unsigned | NO | PRI | NULL | auto_increment |
| Name | varchar(50) | NO | MUL | NULL | |
| Age | tinyint(3) unsigned | NO | | NULL | |
| Gender | enum('F','M') | NO | | NULL | |
| ClassID | tinyint(3) unsigned | YES | | NULL | |
| TeacherID | int(10) unsigned | YES | | NULL | |
+-----------+---------------------+------+-----+---------+----------------+
6 rows in set (0.00 sec)
mysql> show indexes from students\G
#跳过查询复合索引的前面字段,后续字段的条件查询无法利用复合索引
mysql> explain select * from students where age=20;mysql> explain select * from testlog where salary=66666;#打开后,会显示语句执行详细的过程
set profiling = ON;
#查看语句,注意结果中的query_id值
show profiles ;
#显示语句的详细执行步骤和时长
Show profile for query #
MariaDB [hellodb]> show profile for query 4;
#显示cpu使用情况
Show profile cpu for query #
MariaDB [hellodb]> Show profile cpu for query 4;
#删除
dorp index idx_gebder on student;LOCK TABLES tbl_name [[AS] alias] lock_type [, tbl_name [[AS] alias]
lock_type] ...
lock_type:
READ #读锁
WRITE #写锁UNLOCK TABLESFLUSH TABLES [tb_name[,...]] [WITH READ LOCK]SELECT clause [FOR UPDATE | LOCK IN SHARE MODE]mysql> lock tables students read ;
Query OK, 0 rows affected (0.00 sec)
mysql> update students set classid=2 where stuid=24;
ERROR 1099 (HY000): Table 'students' was locked with a READ lock and can't be
updated
#解锁
mysql> unlock tables ;
mysql> update students set classid=2 where stuid=24;
Query OK, 1 row affected (1 min 45.52 sec)
Rows matched: 1 Changed: 1 Warnings: 0#同时对同一行记录执行update
#在第一终端提示1行成功
MariaDB [hellodb]> update students set classid=1 where stuid=24;
Query OK, 1 row affected (0.002 sec)
Rows matched: 1 Changed: 1 Warnings: 0
#在第二终端提示0行修改
MariaDB [hellodb]> update students set classid=1 where stuid=24;
Query OK, 0 rows affected (0.000 sec)
Rows matched: 1 Changed: 0 Warnings: 0BEGIN
BEGIN WORK
START TRANSACTION#提交,相当于vi中的wq保存退出
COMMIT
#回滚,相当于vi中的q!不保存退出
ROLLBACKset autocommit={1|0}SAVEPOINT identifier
ROLLBACK [WORK] TO [SAVEPOINT] identifier
RELEASE SAVEPOINT identifier#查看当前正在进行的事务
SELECT * FROM INFORMATION_SCHEMA.INNODB_TRX;
#以下两张表在MySQL8.0中已取消
#查看当前锁定的事务
SELECT * FROM INFORMATION_SCHEMA.INNODB_LOCKS;
#查看当前等锁的事务
SELECT * FROM INFORMATION_SCHEMA.INNODB_LOCK_WAITS;#在第一会话中执行
MariaDB [hellodb]> begin;
Query OK, 0 rows affected (0.000 sec)
MariaDB [hellodb]> update students set classid=10;
#在第二个会话中执行
MariaDB [hellodb]> update students set classid=20; #因为上面的会话加锁,所以此处卡动不
动,无法执行
#在第三个会话中执行
MariaDB [hellodb]> show engine innodb status;
...省略...
---TRANSACTION 120, ACTIVE 673 sec
2 lock struct(s), heap size 1136, 28 row lock(s), undo log entries 27
MySQL thread id 13, OS thread handle 139719808595712, query id 206 localhost
root
...省略...
#此指令不支持MySQL8.0
MariaDB [hellodb]> SELECT * FROM INFORMATION_SCHEMA.INNODB_LOCKS;
#此指令不支持MySQL8.0
MariaDB [hellodb]> SELECT * FROM INFORMATION_SCHEMA.INNODB_LOCK_WAITS;
#查看正在进行的事务
MariaDB [hellodb]> SELECT * FROM information_schema.INNODB_TRX\G
*************************** 1. row ***************************
trx_id: 123
trx_state: LOCK WAIT
trx_started: 2019-11-22 19:17:06
trx_requested_lock_id: 123:9:3:2
trx_wait_started: 2019-11-22 19:18:50
trx_weight: 2
trx_mysql_thread_id: 15 #线程ID
trx_query: update students set classid=20
trx_operation_state: starting index read
trx_tables_in_use: 1
trx_tables_locked: 1
trx_lock_structs: 2
trx_lock_memory_bytes: 1136
trx_rows_locked: 2
trx_rows_modified: 0
trx_concurrency_tickets: 0
trx_isolation_level: REPEATABLE READ
trx_unique_checks: 1
trx_foreign_key_checks: 1
trx_last_foreign_key_error: NULL
trx_is_read_only: 0
trx_autocommit_non_locking: 0
MariaDB [hellodb]> show processlist;
#杀掉未完成的事务
MariaDB [hellodb]> kill 13;
Query OK, 0 rows affected (0.000 sec)
#查看事务锁的超时时长,默认50s
MariaDB [hellodb]> show global variables like 'innodb_lock_wait_timeout';
+--------------------------+-------+
| Variable_name | Value |
+--------------------------+-------+
| innodb_lock_wait_timeout | 50 |
+--------------------------+-------+
1 row in set (0.001 sec#MySQL8.0之前版本
SET tx_isolation='READ-UNCOMMITTED|READ-COMMITTED|REPEATABLE|READ|SERIALIZABLE'
#MySQL8.0
SET transaction_isolation='READ-UNCOMMITTED|READ-COMMITTED|REPEATABLE|READ|SERIALIZABLE'vim /etc/my.cnf
[mysqld]
transaction-isolation=SERIALIZABLEmysql> select @@tx_isolation;
ERROR 1193 (HY000): Unknown system variable 'tx_isolation'
mysql> select @@transaction_isolation;show variables like '%innodb_log%';
innodb_log_file_size 50331648 #每个日志文件大小
innodb_log_files_in_group 2 #日志组成员个数
innodb_log_group_home_dir ./ #事务文件路径innodb_flush_log_at_trx_commit=0|1|21 此为默认值,日志缓冲区将写入日志文件,并在每次事务后执行刷新到磁盘。 这是完全遵守ACID特性
0 提交时没有写磁盘的操作; 而是每秒执行一次将日志缓冲区的提交的事务写入刷新到磁盘。 这样可提供更好的性能,但服务器崩溃可能丢失最后一秒的事务
2 每次提交后都会写入OS的缓冲区,但每秒才会进行一次刷新到磁盘文件中。 性能比0略差一些,但操作系统或停电可能导致最后一秒的交易丢失1.配置为2和配置为0,性能差异并不大,因为将数据从Log Buffer拷贝到OS cache,虽然跨越用户态与内核态,但毕竟只是内存的数据拷贝,速度很快
2.配置为2和配置为0,安全性差异巨大,操作系统崩溃的概率相比MySQL应用程序崩溃的概率,小很多,设置为2,只要操作系统不奔溃,也绝对不会丢数据SHOW GLOBAL VARIABLES LIKE 'log_error' ;MariaDB [hellodb]> SHOW GLOBAL VARIABLES LIKE 'log_error';
+---------------+------------------------------+
| Variable_name | Value |
+---------------+------------------------------+
| log_error | /var/log/mariadb/mariadb.log |
+---------------+------------------------------+
1 row in set (0.001 sec)#CentOS7 mariadb 5.5 默认值为1
#CentOS8 mariadb 10.3 默认值为2
log_warnings=0|1|2|3... #MySQL5.7之前
log_error_verbosity=0|1|2|3... #MySQL8.0https://dev.mysql.com/doc/refman/8.0/en/server-systemvariables.html#sysvar_log_error_verbositymysql> SHOW GLOBAL VARIABLES LIKE 'log_error_verbosity';
+---------------------+-------+
| Variable_name | Value |
+---------------------+-------+
| log_error_verbosity | 2 |
+---------------------+-------+
1 row in set (0.00 sec)#默认没有启用通用日志
mysql> select @@general_log;
+---------------+
| @@general_log |
+---------------+
| 0 |
+---------------+
1 row in set (0.00 sec)
#启用
mysql> set global general_log=1;
Query OK, 0 rows affected (0.01 sec)
mysql> select @@general_log;
+---------------+
| @@general_log |
+---------------+
| 1 |
+---------------+
1 row in set (0.00 sec)
#默认通用日志存放在文件中
mysql> SHOW GLOBAL VARIABLES LIKE 'log_output';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| log_output | FILE |
+---------------+-------+
1 row in set (0.00 sec)
#通用日志存放的文件路径
mysql> select @@general_log_file;
+----------------------------+
| @@general_log_file |
+----------------------------+
| /var/lib/mysql/centos8.log |
+----------------------------+
1 row in set (0.00 sec)#修改通用日志,记录通用日志至mysql.general_log表中
MariaDB [mysql]> set global log_output="table";
MariaDB [mysql]> SHOW GLOBAL VARIABLES LIKE 'log_output';
#general_log表是CSV格式的存储引擎
mysql> show table status like 'general_log'\G
#general_log表是CSV的文本文件
[root@centos8 ~]#file /var/lib/mysql/mysql/general_log.CSV
/var/lib/mysql/mysql/general_log.CSV: ASCII text
[root@centos8 ~]#head /var/lib/mysql/mysql/general_log.CSV
MariaDB [mysql]> select * from mysql.general_log\G
#注意:MySQL8.0 argument字段是加密形式MariaDB [mysql]> select argument,count(argument) num from mysql.general_log group by argument order by num desc limit 3;
+---------------------------+-----------------+
| argument | num |
+---------------------------+-----------------+
| select * from teachers | 6 |
| select * from general_log | 4 |
| select * from students | 3 |
+---------------------------+-----------------+
3 rows in set (0.002 sec)[root@centos8 ~]#mysql -e 'select argument from mysql.general_log' | awk '{sql[$0]++}END{for(i in sql){print sql[i],i}}'|sort -nr
[root@centos8 ~]#mysql -e 'select argument from mysql.general_log' |sort |uniq -c |sort -nr我正在使用的第三方API的文档状态:"[O]urAPIonlyacceptspaddedBase64encodedstrings."什么是“填充的Base64编码字符串”以及如何在Ruby中生成它们。下面的代码是我第一次尝试创建转换为Base64的JSON格式数据。xa=Base64.encode64(a.to_json) 最佳答案 他们说的padding其实就是Base64本身的一部分。它是末尾的“=”和“==”。Base64将3个字节的数据包编码为4个编码字符。所以如果你的输入数据有长度n和n%3=1=>"=="末尾用于填充n%
当我在Rails控制台中按向上或向左箭头时,出现此错误:irb(main):001:0>/Users/me/.rvm/gems/ruby-2.0.0-p247/gems/rb-readline-0.4.2/lib/rbreadline.rb:4269:in`blockin_rl_dispatch_subseq':invalidbytesequenceinUTF-8(ArgumentError)我使用rvm来管理我的ruby安装。我正在使用=>ruby-2.0.0-p247[x86_64]我使用bundle来管理我的gem,并且我有rb-readline(0.4.2)(人们推荐的最少
我发现ActiveRecord::Base.transaction在复杂方法中非常有效。我想知道是否可以在如下事务中从AWSS3上传/删除文件:S3Object.transactiondo#writeintofiles#raiseanexceptionend引发异常后,每个操作都应在S3上回滚。S3Object这可能吗?? 最佳答案 虽然S3API具有批量删除功能,但它不支持事务,因为每个删除操作都可以独立于其他操作成功/失败。该API不提供任何批量上传功能(通过PUT或POST),因此每个上传操作都是通过一个独立的API调用完成的
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我将我的Rails应用程序部署到OpenShift,它运行良好,但我无法在生产服务器上运行“Rails控制台”。它给了我这个错误。我该如何解决这个问题?我尝试更新rubygems,但它也给出了权限被拒绝的错误,我也无法做到。railsc错误:Warning:You'reusingRubygems1.8.24withSpring.UpgradetoatleastRubygems2.1.0andrun`gempristine--all`forbetterstartupperformance./opt/rh/ruby193/root/usr/share/rubygems/rubygems
给定一个复杂的对象层次结构,幸运的是它不包含循环引用,我如何实现支持各种格式的序列化?我不是来讨论实际实现的。相反,我正在寻找可能会派上用场的设计模式提示。更准确地说:我正在使用Ruby,我想解析XML和JSON数据以构建复杂的对象层次结构。此外,应该可以将该层次结构序列化为JSON、XML和可能的HTML。我可以为此使用Builder模式吗?在任何提到的情况下,我都有某种结构化数据-无论是在内存中还是文本中-我想用它来构建其他东西。我认为将序列化逻辑与实际业务逻辑分开会很好,这样我以后就可以轻松支持多种XML格式。 最佳答案 我最
我有一个涉及多台机器、消息队列和事务的问题。因此,例如用户点击网页,点击将消息发送到另一台机器,该机器将付款添加到用户的帐户。每秒可能有数千次点击。事务的所有方面都应该是容错的。我以前从未遇到过这样的事情,但一些阅读表明这是一个众所周知的问题。所以我的问题。我假设安全的方法是使用两阶段提交,但协议(protocol)是阻塞的,所以我不会获得所需的性能,我是否正确?我通常写Ruby,但似乎Redis之类的数据库和Rescue、RabbitMQ等消息队列系统对我的帮助不大——即使我实现某种两阶段提交,如果Redis崩溃,数据也会丢失,因为它本质上只是内存。所有这些让我开始关注erlang和
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?博客主页:https://xiaoy.blog.csdn.net?本文由呆呆敲代码的小Y原创,首发于CSDN??学习专栏推荐:Unity系统学习专栏?游戏制作专栏推荐:游戏制作?Unity实战100例专栏推荐:Unity实战100例教程?欢迎点赞?收藏⭐留言?如有错误敬请指正!?未来很长,值得我们全力奔赴更美好的生活✨------------------❤️分割线❤️-------------------------
文章目录一、概述简介原理模块二、配置Mysql使用版本环境要求1.操作系统2.mysql要求三、配置canal-server离线下载在线下载上传解压修改配置单机配置集群配置分库分表配置1.修改全局配置2.实例配置垂直分库水平分库3.修改group-instance.xml4.启动监听四、配置canal-adapter1修改启动配置2配置映射文件3启动ES数据同步查询所有订阅同步数据同步开关启动4.验证五、配置canal-admin一、概述简介canal是Alibaba旗下的一款开源项目,Java开发。基于数据库增量日志解析,提供增量数据订阅&消费。Git地址:https://github.co