From ee8ec8baaa52e88ec659bf46c4dbeb14ae2f8f4d Mon Sep 17 00:00:00 2001 From: geraldlu Date: Tue, 20 Aug 2024 19:04:30 +0800 Subject: [PATCH] The documentation has been updated to include the new txsql open-source file --- docs/guide/16-txsql_quickstart.md | 14 +- docs/guide/17-txsql_architecture.md | 105 ++++ ...{17-txsql_deploy.md => 18-txsql_deploy.md} | 0 docs/guide/19-txsql_access.md | 167 ++++++ docs/guide/20-txsql_basic.md | 500 ++++++++++++++++++ docs/guide/21-txsql_advanced.md | 207 ++++++++ docs/guide/22-txsql_faq.md | 11 + docs/guide/images/17image.png | Bin 0 -> 286996 bytes docs/guide/images/19image-1.png | Bin 0 -> 156786 bytes docs/guide/images/19image-2.png | Bin 0 -> 119132 bytes docs/guide/images/21image-1.png | Bin 0 -> 218808 bytes docs/guide/images/21image-2.png | Bin 0 -> 149252 bytes docs/guide/images/21image-3.png | Bin 0 -> 487820 bytes docs/guide/images/21image-4.png | Bin 0 -> 68470 bytes docs/guide/images/21image-5.png | Bin 0 -> 131920 bytes mkdocs.yml | 9 +- 16 files changed, 1002 insertions(+), 11 deletions(-) create mode 100644 docs/guide/17-txsql_architecture.md rename docs/guide/{17-txsql_deploy.md => 18-txsql_deploy.md} (100%) create mode 100644 docs/guide/19-txsql_access.md create mode 100644 docs/guide/20-txsql_basic.md create mode 100644 docs/guide/21-txsql_advanced.md create mode 100644 docs/guide/22-txsql_faq.md create mode 100644 docs/guide/images/17image.png create mode 100644 docs/guide/images/19image-1.png create mode 100644 docs/guide/images/19image-2.png create mode 100644 docs/guide/images/21image-1.png create mode 100644 docs/guide/images/21image-2.png create mode 100644 docs/guide/images/21image-3.png create mode 100644 docs/guide/images/21image-4.png create mode 100644 docs/guide/images/21image-5.png diff --git a/docs/guide/16-txsql_quickstart.md b/docs/guide/16-txsql_quickstart.md index b6ce21e..91c55bf 100644 --- a/docs/guide/16-txsql_quickstart.md +++ b/docs/guide/16-txsql_quickstart.md @@ -20,15 +20,11 @@ TXSQL基于广泛的业务需求,自主实现大量的企业级特性,下面 线程池的思路即为限制同时运行的线程数,减少线程池间上下文切换和热锁争用,从而对OLTP工作负载(CPU消耗较少的查询)产生积极影响。当连接数上升时,在线程池的帮助下数据库整体吞吐维持在一个较高水准。 -3. 全局一致性事务 - - 社区MySQL只能保证单节点事务的ACID,但分布式场景下,通常一个集群会有多个MySQL实例。TXSQL通过自研的全局一致性时钟方案,保证集群中各个TXSQL实例的全局数据一致性。 - -4. 审计 +3. 审计 TXSQL提供数据库审计能力,记录对数据库的访问及 SQL 语句执行情况(包括语句开启时间、扫描行数、锁等待时间、 CPU 使用时间、客户端 IP、用户名、SQL 内容等),帮助企业进行风险控制,提高数据安全等级。主要适用于需要对数据库遭受到的风险行为进行告警,针对数据库 SQL 注入、异常操作等数据库风险行为进行记录与告警的场景。 -5. 列压缩 +4. 列压缩 当前有针对行格式的压缩和针对数据页面的压缩,但是这两种压缩方式在处理一个表中的某些大字段和其他很多小字段,同时对小字段的读写很频繁,对大字段访问不频繁的情形中,在读写访问时都会造成很多不必要的计算资源的浪费。 @@ -36,15 +32,15 @@ TXSQL基于广泛的业务需求,自主实现大量的企业级特性,下面 例如,一张员工表:`create table employee(id int, age int, gender boolean, other varchar(1000) primary key (id))`,当对 id,age,gender 小字段访问比较频繁,而对 other 大字段的访问频率比较低时,可以将 other 列创建为压缩列。一般情况下,只有对 other 的读写才会触发对该列的压缩和解压,对其他列的访问并不会触发该列的压缩和解压。由此进一步降低了行数据存储的大小,使得对访问频繁的小字段能够实现更快访问,对访问频率比较低的大字段的存储空间能够实现进一步降低。 -6. XA事务增强 +5. XA事务增强 TXSQL应用在金融场景,对XA事务数据一致性要求极高。通过持续打磨XA事务,提供XA事务性能,其中10+特性已回馈社区。 -7. 空闲事务主动断连 +6. 空闲事务主动断连 TXSQL对于处于开启事务状态的连接(显示使用 begin、start transaction 或者隐式开启事务),如果超时时间内没有下一条语句执行,会kill 连接,以释放资源提升性能。 -8. returning支持 +7. returning支持 在某些使用场景下,需要在 DML 操作后返回刚操作的数据行。实现这个需求一般有两种办法: diff --git a/docs/guide/17-txsql_architecture.md b/docs/guide/17-txsql_architecture.md new file mode 100644 index 0000000..3495a05 --- /dev/null +++ b/docs/guide/17-txsql_architecture.md @@ -0,0 +1,105 @@ +# 一、总体架构 +TXSQL内核基于[MySQL 8.0开源版本](https://dev.mysql.com/doc/refman/8.0/en/)进行开发,TXSQL总体架构与MySQL保持一致,总体上分为三层:连接层、服务层和存储引擎层。 +![alt text](images/17image.png) + +- 连接层主要负责与客户端的连接建立与请求接收。同时负责安全权限认证,连接资源管理、线程管理等模块功能。 + +- 服务层主要包括以下核心模块: + +| | | +|:--| :--| +| **模块** | **作用** | +|查询缓存 | 命中缓存则直接返回结果 | +|SQL解析器 | 对客户端发送的SQL进行词法分析,语法分析 | +|查询优化器 | 负责生成执行计划、索引选择 | +|执行器| 操作存储引擎,返回结果| + + +- 存储引擎层负责数据的存储和提取。支持多种存储引擎,如InnoDB、MyiSam、Memory等,用户可根据实际需求进行选择。默认存储引擎为能够支持事务ACID、支持行锁、支持外检约束的InnoDB引擎。存储引擎对上负责执行服务层发送的数据查找和数据修改操作,向下与物理文件进行交互,实现数据的存储与修改需求。 + +- 物理系统是指 TXSQL 如何将逻辑存储结构映射到磁盘上的文件系统。 + + +# 二、模块设计 + +## 1. 连接层 + +连接层负责跟客户端建立连接、获取权限、维持和管理连接。 + +- **连接建立与处理:** +连接命令中的 TXSQL 是客户端工具,用来跟服务端建立连接。在完成经典的 TCP 握手后,连接器就要开始认证你的身份,这个时候用的就是你输入的用户名和密码。 +若账户验证失败,返回“Access denied for user”;如果验证成功,连接器会到权限表里面查出你拥有的权限。(修改权限不会影响已经存在的连接)。 + +- **连接资源管理:** +TXSQL支持配置最大连接数,当连接数量到达最大值时,新的连接请求会被拒绝。客户端如果太长时间没操作,连接器就会自动将它断开。这个时间是由参数 wait_timeout 控制的,默认值是 8 小时。 + +- **线程管理**: +在不使用线程池的情况下,TXSQL会为每一个连接创建一个线程,用于处理该连接在数据库中的操作,以及管理该连接的上下文信息,包括事务、参数以及临时表等信息。在使用线程池的情况下,会有固定数量的线程用来被调度处理不同连接到来的请求,线程池能够避免大量并发线程的创建、切换与销毁带来的开销。 + +## 2. 服务层 +### 查询缓存 +连接建立完成后,你就可以执行 SQL语句了。此时执行逻辑就会来到第二步:查询缓存。 + +TXSQL 拿到一个查询请求后,会先到查询缓存看看,之前是不是执行过这条语句。之前执行过的语句及其结果可能会以 key-value 对的形式,被直接缓存在内存中。key 是查询的语句,value 是查询的结果。如果你的查询能够直接在这个缓存中找到 key,那么这个 value 就会被直接返回给客户端。如果语句不在查询缓存中,就会继续后面的执行阶段。执行完成后,执行结果会被存入查询缓存中。 + +但是大多数情况不推荐使用查询缓存,因为查询缓存往往弊大于利。查询缓存的失效非常频繁,只要有对一个表的更新,这个表上所有的查询缓存都会被清空。 +对于更新压力大的数据库来说,查询缓存的命中率会非常低。 + +TXSQL 也提供了这种“按需使用”的方式。你可以将参数 query_cache_type 设置成 DEMAND(修改my.cnf并重启),这样对于默认的 SQL 语句都不使用查询缓存。 + +### SQL解析器 + +如果没有命中查询缓存,就要开始真正执行语句了。首先,TXSQL 需要知道你要做什么,因此需要对 SQL 语句做解析。 + +解析器先会做“词法分析”。你输入的是由多个字符串和空格组成的一条 SQL 语句,TXSQL 需要识别出里面的字符串分别代表什么含义; + +例如:TXSQL 从你输入的"select"这个关键字识别出来,这是一个查询语句。它也要把字符串“Table”识别成“表名 T”,把字符串“ID”识别成“列 ID”。 + +做完了这些识别以后,就要做“语法分析”。根据词法分析的结果,语法分析器会根据语法规则,判断你输入的这个 SQL 语句是否满足 TXSQL 语法。 + +如果你的语句不对,就会收到类似“You have an error in your SQL syntax; xxxxxx”的错误提醒; +``` +TXSQL> seelect * from p_nic where Id = 1;ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your sql server version for the right syntax to use near 'seelect * from p_nic where Id = 1' at line 1 +``` +一般语法错误会提示第一个出现错误的位置,所以你要关注的是紧接“use near”的内容。 + +### 查询优化器 + +经过了解析器,TXSQL 就知道你要做什么了。在开始执行之前,还要先经过优化器的处理。 + +优化器是在表里面有多个索引的时候,决定使用哪个索引;或者在一个语句有多表关联(join)的时候,决定各个表的连接顺序。 + +比如你执行下面这样的语句: +``` +select * from p_cpu join server_physical_info using(SvrAssetId) where p_cpu.SN = 'sn1' and server_physical_info.SvrIsSpecial=1; +``` +既可以先从表 p_cpu 里面取出 SN='sn1'的记录的 SvrAssetId,再根据 SvrAssetId 值关联到表 server_physical_info, 再判断 server_physical_info 里面 SvrIsSpecial 的值是否等于 1。也可以先从表 server_physical_info里面取出SvrIsSpecial=1的记录的SvrAssetId值,再根据 SvrAssetId 值关联 p_cpu,再判断 p_cpu里面sn的值是否等于sn1。这两种执行方法的逻辑结果是一样的,但是执行的效率会有不同,而优化器的作用就是根据代价估计来决定选择使用哪一个方案。 + +### 执行器 + +TXSQL 通过SQL解析器知道了你要做什么,通过查询优化器知道了该怎么做,于是就进入了执行器阶段,开始执行语句。 + +开始执行的时候,要先判断一下你对这个表 T 有没有执行查询的权限,如果没有,就会返回没有权限的错误。如果有权限,就打开表继续执行。打开表的时候,执行器就会根据表的引擎定义,去使用这个引擎提供的接口。 +对于查询条件 sn 若没有索引,执行器的执行流程大概是这样: +1、调用引擎接口表的第一行,判断 sn 是否匹配,不匹配则跳过,匹配则将该行存在结果集中; +2、调用引擎接口取下一行,重复直到取到表的最后一行; +3、将结果集返回客户端; +对于查询条件 sn 若有索引,执行逻辑类似,只是第一次调用的是“取满足条件的第一行”这个接口,之后循环取“满足条件的下一行”这个接口,这些接口都是引擎中已经定义好的; + +## 3. 存储引擎层 +存储引擎层负责存储数据和执行服务层的请求。TXSQL默认使用InnoDB存储引擎。InnoDB引擎是一个事务型存储引擎,提供了对数据库 ACID 事务的支持,并实现了 SQL 标准的四种隔离级别,具有行级锁定(这一点说明锁的粒度小,在写数据时,不需要锁住整个表,因此适用于高并发情形)及外键支持(所有数据库引擎中独一份,仅有它支持外键)该引擎的设计目标便是处理大容量数据的数据库系统。 + +InnoDB的底层结构主要由两部分组成:内存结构和物理文件。 + +### 内存结构 +- 缓冲池(Buffer Pool):在内存中缓存数据页及索引页,用于加快访问速度。当缓冲池不能存下所有的数据页时,页面淘汰算法就显得尤为重要。 +- 更改缓冲区(Change Buffer):用于缓存非聚集索引的修改操作,减少磁盘IO。对非聚集索引的修改由于不需要检查唯一性,因此可以先缓存在内存中,当需要读取的时候或者更改缓冲区到达一定大小时或者缓冲池中的数据需要被刷新到磁盘中时,再将数据进行合并操作。 +- 自适应哈希索引(Adaptive Hash Index):主要用于加速索引查询效率。InnoDB根据查询频率和查询的模式建立的哈希索引,可以根据哈希函数快速定位到数据页的位置。由于哈希表的查找效率比btree高,所以能够提高数据查找的效率。 +- 日志缓冲区(Log Buffer):主要用于缓存事务的redo log,保证事务的持久性。日志缓冲区的大小受参数innodb_log_buffer_size控制。当事务提交时,会将日志缓冲区的日志刷到日志文件中去,刷新策略受innodb_flush_log_at_trx_commit控制。 + +### 物理文件 +TXSQL的物理文件主要有如下集中类型: +- 数据文件(data file)是存储引擎存储数据的主要文件,它是由一个或多个固定大小的数据页(data page)组成的文件,每个数据页的大小默认为16KB。数据文件可以是单个文件(ibdata1)或多个文件(ibdata1, ibdata2, …),也可以是按表分割的文件(table_name.ibd)。数据文件中存储了表的数据、索引、元数据等信息。 +- 日志文件(log file)是存储日志的主要文件,它是由两个或多个固定大小的日志段(log segment)组成的循环文件,每个日志段的大小默认为48MB。日志文件可以是单个文件(ib_logfile0)或多个文件(ib_logfile0, ib_logfile1, …)。日志文件中存储了事务的修改记录,用于保证事务的持久性和原子性。 +- 索引文件(index file)是存储索引的辅助文件,它是由一个或多个固定大小的索引页(index page)组成的文件,每个索引页的大小默认为16KB。索引文件可以是单个文件(table_name.MYI)或多个文件(table_name.MYI, table_name.MYI.1, …)。索引文件中存储了表的辅助索引,用于加速数据查询和排序等操作。 +- 临时文件(temp file)是存储临时数据的辅助文件,它是由一个或多个固定大小的临时页(temp page)组成的文件,每个临时页的大小默认为16KB。临时文件可以是单个文件(ibtmp1)或多个文件(ibtmp1, ibtmp2, …)。临时文件中存储了查询过程中产生的临时表、排序结果、分组结果等信息。 \ No newline at end of file diff --git a/docs/guide/17-txsql_deploy.md b/docs/guide/18-txsql_deploy.md similarity index 100% rename from docs/guide/17-txsql_deploy.md rename to docs/guide/18-txsql_deploy.md diff --git a/docs/guide/19-txsql_access.md b/docs/guide/19-txsql_access.md new file mode 100644 index 0000000..2753c37 --- /dev/null +++ b/docs/guide/19-txsql_access.md @@ -0,0 +1,167 @@ +## 使用命令行连接 TXSQL +1.以下是基于 linux 环境 cenos 系统,介绍如何安装 mysql client: +```shell +yum install mysql +``` +2.安装完成后,你可以使用如下命令连接到 TXSQL +```shell +mysql -h -u <用户名,默认 root> -P <端口号,默认3306> -p +``` +## 使用 GUI 工具连接 TXSQL +1. 安装 MySQL Workbench,官方下载地址请参见 [MySQL Workbench](https://dev.mysql.com/downloads/) +2. 进入下载页面后单击 **MySQL Workbench。** +3. 跳转页面后在 Windows (x86, 64-bit), MSI Installer 后单击 **Downloads**。 +4. 单击 **No thanks, just start my download**。 +5. 安装完成后打开 MySQL Workbench,在 MySQL Connections 后单击加号添加待连接的实例信息。 + +![alt text](images/19image-1.png) + +6. 在弹出的窗口下,完成如下配置后,单击**ok**。 + +![alt text](images/19image-2.png) +## 使用应用程序连接 TXSQL +### c++ +```c++ +#include +#include + +int main(void){ + MYSQL mysql; // mysql 连接句柄 + MYSQL_RES* res; // 结果集 + MYSQL_ROW row; // 一行记录 + + // 配置 TXSQL 连接参数 + const char *host = ''; + unsinged int port = ; + const char * user = ''; + const char *password = ''; + const char *db_name = ''; + mysql_init(&mysql); + + if (mysql_real_connect(&mysql, host, user, password, db_name, port, NULL, 0) == NULL) { + printf("连接失败!: %s\n", mysql_error(&mysql)); + exit(-1); + } + int ret = mysql_query(&mysql, "select * from student;"); + + res = mysql_store_result(&mysql); + int fields_num = mysql_num_fields(res); + + while(row = mysql_fetch_row(res)){ + for(int i=0;i + + mysql + mysql-connector-java + 8.0.18 + + +``` +```java +import java.sql.Connection; +import java.sql.DriverManager; +import java.sql.PreparedStatement; +import java.sql.ResultSet; +import java.sql.SQLException; + +public class SelectDemo { + public static void main(String[] args) throws ClassNotFoundException, SQLException { + String url= "jdbc:mysql://:/"; + String username = ""; + String password = ""; + //1.注册数据库的驱动 + Class.forName("com.mysql.jdbc.Driver"); + //2.获取数据库连接 + Connection connection = DriverManager.getConnection(url,username,password); + //3.需要执行的sql语句(?是占位符,代表一个参数) + String sql = "select * from student where name = ?"; + //4.获取预处理对象,并依次给参数赋值 + PreparedStatement statement = connection.prepareStatement(sql); + statement.setString(1,"Tom"); + // 5. 查询数据 + ResultSet resultSet = statement.executeQuery(); + System.out.println(resultSet.get("name")); + + //6.关闭jdbc连接 + statement.close(); + connection.close(); + } +} + +``` +### go +前置准备:安装 gorm +```shell +go get -u gorm.io/gorm +``` +```go +package main + +import ( +"gorm.io/gorm" +"gorm.io/driver/mysql" +) + +type Student struct{ + Name string + Age int +} + +func main(){ + + // 配置 TXSQL 连接参数 + username := "" // 用户名 + password := "" // 密码 + host := "" // IP 地址 + port := // 端口 + dbname := "" // 库名 + + dsn := fmt.Sprintf("%s:%s@tcp(%s:%d)/%s?charset=utf8&parseTime=True&loc=Local", username, password, host, port, dbname) + db, err := gorm.Open(mysql.Open(dsn), &gorm.Config{}) + if err != nil { + panic("连接数据库失败, error=" + err.Error()) + } + defer db.close() + + var stu Student + db.First(&stu) +} +``` +### python +前置准备:安装 pymysql +```shell +## python3 +pip3 install PyMySQL +## python2 +pip install pymysql +``` +```python +import pymysql + +# 打开连接 +connection = pymysql.connect(host='', + user='', + password='', + database='') +# 获取一个游标对象 cursor +cursor = connection.cursor() +# 执行 SQL 查询 +cursor.execute("SELECT * from student") +# 获取单条数据 +data = cursor.fetchone() + +# 关闭连接 +connection.close() +``` \ No newline at end of file diff --git a/docs/guide/20-txsql_basic.md b/docs/guide/20-txsql_basic.md new file mode 100644 index 0000000..a065380 --- /dev/null +++ b/docs/guide/20-txsql_basic.md @@ -0,0 +1,500 @@ +连接到TXSQL + +可以通过命令行客户端连接到 TXSQL服务器: + +mysql -h host -P port -u user -p + +-h:指定TXSQL服务器的主机名或IP地址。默认情况下,如果未指定,则连接到本地主机。 + +-P:指定TXSQL服务器的端口号。 + +-u:指定要连接的用户名。 + +-p:提示输入密码。 + +在提示输入密码时,由于安全原因,密码不会在屏幕上显示。输入密码后,按回车键。 +成功建立连接后, 可以看到txsql> 提示符, 这时就可以执行SQL 语句操作TXSQL。 + +创建和管理数据库 + +数据库是存储数据的容器,它由表、视图、存储过程等组成。你可以使用SQL语句来创建和管理数据库。 + +创建数据库 + +要创建一个新的数据库,你可以使用以下SQL语句: + +CREATE DATABASE database_name; + +database_name:指定你想要创建的数据库的名称。 + +例如,创建一个名为mydatabase的数据库: + +CREATE DATABASE mydatabase; + +选择数据库 + +在执行任何数据库操作之前,你需要选择一个数据库。使用以下语句: + +USE database_name; + +例如,选择mydatabase数据库: + +USE mydatabase; + +数据库的命名规则 + +数据库名称必须以字母开头,可以包含字母、数字和下划线。 + +数据库名称是区分大小写的(在某些配置中)。 + +数据库名称的长度限制取决于MySQL的配置。 + +修改数据库 + +一旦创建了数据库,你可能需要修改其设置,例如更改字符集或排序规则。 + +修改字符集和排序规则 + +ALTER DATABASE database_name CHARACTER SET charset_name COLLATE collation_name; + +charset_name:指定新的字符集,例如utf8mb4。 + +collation_name:指定新的排序规则,例如utf8mb4_unicode_ci。 + +例如,将mydatabase数据库的字符集改为utf8mb4,排序规则改为utf8mb4_unicode_ci: + +ALTER DATABASE mydatabase CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci; + +删除数据库 + +如果你不再需要某个数据库,可以使用以下语句删除它: + +DROP DATABASE database_name; + +例如,删除mydatabase数据库: + +DROP DATABASE mydatabase; + +数据库的命名规则 + +删除数据库是一个不可逆的操作,所以在执行此操作之前请确保没有误操作。 + +如果数据库中包含数据,删除数据库将同时删除所有表和数据。 + +数据库的备份和恢复 + +备份数据库 + +有多种备份数据库的方法,其中最常用的是使用mysqldump工具。 + +mysqldump -u username -p database_name > backup_file.sql + +username:你的用户名。 + +database_name:你想要备份的数据库的名称。 + +backup_file.sql:备份文件的名称。 + +恢复数据库 + +要恢复数据库,你可以使用以下命令: + +mysql -u username -p database_name < backup_file.sql + +database_name:你想要恢复的数据库的名称。 + +backup_file.sql:备份文件的名称。 + +注意事项 + +在生产环境中,定期备份数据库是非常重要的,以防止数据丢失。 + +在执行备份和恢复操作时,确保你有足够的权限。 + +在备份和恢复过程中,可能需要考虑数据库的并发访问和数据一致性。 + +通过这些步骤,你可以有效地创建和管理数据库,包括创建、修改、删除数据库,以及备份数据和恢复数据。 + +创建和管理用户 + +MySQL数据库中的用户是访问数据库的实体,每个用户都可以拥有不同的权限。以下是如何创建和管理用户的步骤和指南。 + +1. 创建用户 + +要创建一个新的MySQL用户,你可以使用以下SQL语句: + +CREATE USER 'username'@'host' IDENTIFIED BY 'password'; +username:指定新用户的用户名。 + +host:指定用户可以连接到MySQL服务器的主机地址。'%'表示任何主机都可以连接。 +password:指定用户的密码。 +例如,创建一个名为user1的用户,允许从任何主机连接,并设置密码为mypassword: + +CREATE USER 'user1'@'%' IDENTIFIED BY 'mypassword'; + +2. 分配权限 + +创建用户后,你需要为该用户分配适当的权限。使用以下语句: + +GRANT privileges ON databasename.* TO 'username'@'host'; + +privileges:指定用户拥有的权限,如SELECT、INSERT、UPDATE、DELETE等。 +databasename:指定用户可以访问的数据库名。 +例如,给user1用户授予对mydatabase数据库的所有权限: + +GRANT ALL PRIVILEGES ON mydatabase.* TO 'user1'@'%'; + +管理用户 + +1. 修改用户密码 + +要修改用户的密码,可以使用以下语句: + +SET PASSWORD FOR 'username'@'host' = PASSWORD('newpassword'); + +例如,修改user1的密码为newpassword123: + +SET PASSWORD FOR 'user1'@'%' = PASSWORD('newpassword123'); + +2. 修改用户权限 + +如果需要修改用户的权限,可以使用以下语句: + +GRANT privileges ON databasename.* TO 'username'@'host'; + +例如,从user1用户中撤销对mydatabase数据库的所有权限,然后授予SELECT权限: + +GRANT SELECT ON mydatabase.* TO 'user1'@'%'; + +3. 删除用户 + +要删除一个用户,可以使用以下语句: + +DROP USER 'username'@'host'; + +例如,删除user1用户: + +DROP USER 'user1'@'%'; + +注意事项 + +在创建用户和分配权限时,确保遵循最佳安全实践,比如使用复杂的密码,并限制用户只能访问他们需要访问的数据。 +在生产环境中,避免使用'%'作为主机地址,因为这允许用户从任何主机连接到MySQL服务器。考虑使用具体的IP地址或子网。 + +使用SQL语句 + +使用SQL(Structured Query Language,结构化查询语言)是数据库管理的基础。SQL语句用于执行各种数据库操作,包括数据查询、数据插入、数据更新、数据删除等。以下是对几种常见SQL语句的详细讲解。 + +1. 数据查询(SELECT) + +SELECT语句用于检索数据库中的数据。 + +SELECT column1, column2, ... FROM table_name WHERE condition; + +column1, column2, ...:指定要检索的列名。 + +table_name:指定要查询的表名。 + +WHERE:可选条件子句,用于过滤结果集。 + +例如,查询employees表中名为John Doe的员工的email和salary: + +SELECT email, salary FROM employees WHERE name = 'John Doe'; + +2. 数据插入(INSERT) + +INSERT语句用于向数据库表中插入新记录。 + +INSERT INTO table_name (column1, column2, ...) VALUES (value1, value2, ...); + +table_name:指定要插入数据的表名。 + +column1, column2, ...:指定要插入数据的列名。 + +value1, value2, ...:指定要插入的值。 + +例如,向employees表中插入一条新记录: + +INSERT INTO employees (name, email, salary) VALUES ('Jane Doe', 'jane.doe@example.com', 50000); + +3. 数据更新(UPDATE) + +UPDATE语句用于修改数据库表中现有的记录。 + +UPDATE table_name SET column1 = value1, column2 = value2, ... WHERE condition; + +table_name:指定要更新的表名。 + +SET:指定要更新的列和新的值。 + +WHERE:可选条件子句,用于指定哪些记录应该被更新。 + +例如,将employees表中名为John Doe的员工的salary更新为55000: + +UPDATE employees SET salary = 55000 WHERE name = 'John Doe'; + +4. 数据删除(DELETE) + +DELETE语句用于从数据库表中删除记录。 + +DELETE FROM table_name WHERE condition; + +table_name:指定要删除记录的表名。 + +WHERE:可选条件子句,用于指定哪些记录应该被删除。 + +例如,删除employees表中名为John Doe的员工记录: + +DELETE FROM employees WHERE name = 'John Doe'; + +5. 数据选择(SELECT) + +SELECT语句的变体,用于从数据库中检索数据,但具有不同的用途。 + +聚合函数:如COUNT(), SUM(), AVG(), MIN(), MAX(),用于对数据进行聚合计算。 + +连接(JOIN):如INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN,用于连接两个或多个表。 + +子查询:在SELECT语句中使用另一个SELECT语句,用于从相关表中检索数据。 + +聚合函数示例 + +SELECT COUNT(*) FROM employees; -- 计算employees表中的记录数 +SELECT AVG(salary) FROM employees; -- 计算employees表中salary列的平均值 + +连接示例 + +SELECT employees.name, departments.department_name +FROM employees +INNER JOIN departments ON employees.department_id = departments.id; + +子查询示例 + +SELECT name, salary +FROM employees +WHERE salary > (SELECT AVG(salary) FROM employees); + +注意事项 + +在执行SQL语句时,确保你有足够的权限。 + +使用WHERE子句来避免删除或更新大量数据。 + +对于复杂的查询,考虑使用EXPLAIN语句来分析查询执行计划。 + +管理表 + +管理表涉及创建、修改、删除表以及执行其他操作来维护表的结构和内容。 + +创建表 + +创建表的SQL语句 + +CREATE TABLE table_name ( + column1 datatype [CONSTRAINT constraint_name], + column2 datatype [CONSTRAINT constraint_name], + ... +); + +table_name:指定新表的名称。 + +column1, column2, ...:指定表中的列名和对应的数据类型。 + +CONSTRAINT constraint_name:可选的约束条件,如主键(PRIMARY KEY)、外键(FOREIGN KEY)、唯一性(UNIQUE)等。 + +示例 + +创建名为employees的表,其中包含id、name、email和department_id列: + +CREATE TABLE employees ( + id INT AUTO_INCREMENT PRIMARY KEY, + name VARCHAR(100) NOT NULL, + email VARCHAR(100) UNIQUE NOT NULL, + department_id INT, + CONSTRAINT fk_department + FOREIGN KEY (department_id) REFERENCES departments(id) +); + +修改表 + +添加列 + +ALTER TABLE table_name ADD column_name datatype [CONSTRAINT constraint_name]; + +例如,向employees表中添加一个phone列: + +ALTER TABLE employees ADD phone VARCHAR(20); + +修改列 + +ALTER TABLE table_name MODIFY column_name new_datatype [CONSTRAINT constraint_name]; + +例如,将employees表中的phone列的数据类型从VARCHAR(20)更改为VARCHAR(30): + +ALTER TABLE employees MODIFY phone VARCHAR(30); + +删除列 + +ALTER TABLE table_name DROP COLUMN column_name; + +例如,从employees表中删除phone列: + +ALTER TABLE employees DROP COLUMN phone; + +删除表 + +DROP TABLE table_name; + +例如,删除employees表: + +DROP TABLE employees; + +重命名表 + +RENAME TABLE old_table_name TO new_table_name; + +例如,将employees表重命名为staff: + +RENAME TABLE employees TO staff; + +约束 + +约束用于确保数据的完整性和准确性。 + +主键(PRIMARY KEY):唯一标识表中的每一行。 + +外键(FOREIGN KEY):确保表之间的关系,通常与另一个表的主键相关联。 + +唯一性(UNIQUE):确保列中的值是唯一的。 + +非空(NOT NULL):确保列不能包含NULL值。 + +添加约束 + +ALTER TABLE table_name ADD CONSTRAINT constraint_name CONSTRAINT_TYPE (column_name); + +例如,为employees表的email列添加唯一性约束: + +ALTER TABLE employees ADD CONSTRAINT uc_email UNIQUE (email); + +删除约束 + +ALTER TABLE table_name DROP CONSTRAINT constraint_name; + +例如,删除employees表上的uc_email唯一性约束: + +ALTER TABLE employees DROP CONSTRAINT uc_email; + +查看表结构 + +要查看表的结构,可以使用以下SQL语句: + +DESCRIBE table_name; + +或者 + +SHOW COLUMNS FROM table_name; + +注意事项 + +在修改表结构时,要考虑现有数据的影响和可能的迁移问题。 + +在生产环境中,对表结构进行重大更改之前,建议进行备份。 + +使用EXPLAIN语句可以分析查询的执行计划,帮助优化表结构。 + +通过这些操作,你可以有效地管理数据库中的表,确保数据的组织、存储和访问都是高效和安全的。 + +管理索引 + +索引的类型 + +MySQL支持多种类型的索引,包括: + +B-Tree索引:这是MySQL中最常用的索引类型,适用于大多数查询操作。 + +哈希索引:适用于等值查询,但不支持范围查询。 + +全文索引:用于全文搜索,适用于文本数据。 + +空间索引:用于地理空间数据类型。 + +创建索引 + +创建索引可以使用CREATE INDEX语句或ALTER TABLE语句。 + +使用CREATE INDEX语句 + +CREATE INDEX index_name ON table_name (column1, column2, ...); + +index_name:指定索引的名称。 + +table_name:指定包含要创建索引的列的表名。 + +column1, column2, ...:指定要创建索引的列。 + +例如,为employees表的email列创建一个B-Tree索引: + +CREATE INDEX idx_email ON employees (email); + +使用ALTER TABLE语句 + +ALTER TABLE table_name ADD INDEX index_name (column1, column2, ...); + +修改索引 + +MySQL不支持直接修改索引的类型或结构,但你可以通过删除旧索引并创建新索引来间接修改。 + +删除索引 + +DROP INDEX index_name ON table_name; + +例如,删除employees表上的idx_email索引: + +DROP INDEX idx_email ON employees; + +管理索引的策略 + +1. 选择合适的列创建索引 + +对于经常用于查询条件的列,如WHERE子句中的列,创建索引可以显著提高查询性能。 + +对于经常用于JOIN操作的列,创建索引可以加快连接速度。 + +对于经常用于ORDER BY或GROUP BY子句的列,创建索引可以加快排序和分组操作。 + +2. 避免过度索引 + +过多的索引会占用额外的磁盘空间,并可能减慢数据插入、更新和删除操作,因为索引也需要被更新。 + +应该根据实际查询需求来创建索引,避免无用的索引。 + +3. 监控索引使用情况 + +使用EXPLAIN语句分析查询的执行计划,了解索引是否被使用。 + +定期检查索引的使用情况,移除不再使用的索引。 + +4. 维护索引 + +索引可能会因为数据的变化而变得碎片化,这会降低查询性能。 + +使用OPTIMIZE TABLE语句可以重新组织表和索引,减少碎片。 + +示例 + +以下是一些管理索引的示例: + +为employees表的email列创建索引: + +CREATE INDEX idx_email ON employees (email); + +为orders表的customer_id和order_date列创建复合索引: + +CREATE INDEX idx_customer_date ON orders (customer_id, order_date); + +删除orders表上的idx_customer_date索引: + +DROP INDEX idx_customer_date ON orders; + +通过合理地创建和管理索引,可以显著提高数据库查询的性能。然而,索引的创建和管理需要根据具体的应用场景和数据访问模式来决定。 \ No newline at end of file diff --git a/docs/guide/21-txsql_advanced.md b/docs/guide/21-txsql_advanced.md new file mode 100644 index 0000000..8c5e4db --- /dev/null +++ b/docs/guide/21-txsql_advanced.md @@ -0,0 +1,207 @@ +## 线程池 +### 概述 +社区版 MySQL 的连接处理方法默认是为每个连接创建一个工作线程的 one-thread-per-connection(Per_thread)模式。这种模式下,由于系统的资源是有限的,随着连接数的增加,资源的竞争也增加,连接的响应时间也随之增加。 +对于数据库整体吞吐而言,则是在资源未耗尽时随着连接数增加,一旦连接数超过了某个耗尽系统资源的临界点,数据库整体吞吐就会随着各连接的资源争抢而下降。 +如何避免在连接数暴增时,因资源竞争而导致系统吞吐下降的问题呢?TDSQL中给出了简洁的答案:线程池。线程池的思路即为限制同时运行的线程数,减少线程池间上下文切换和热锁争用,从而对 OLTP 工作负载(CPU消耗较少的查询)产生积极影响。当连接数上升时,在线程池的帮助下数据库整体吞吐维持在一个较高水准。 +### 原理 +线程池的基本原理为:预先创建一定数量的工作线程(worker 线程)。在线程池监听线程(listener 线程)从现有连接中监听到新请求时,从工作线程中分配一个线程来提供服务。工作线程在服务结束之后不销毁线程,而是保留在线程池中继续等待下一个请求来临。面我们将从线程池架构、新连接的创建与分配、listener 线程、worker 线程、timer 线程等几个方面来介绍线程池的实现。 +#### 线程池架构 +线程池由多个线程组(thread group)和timer线程组成,如下图所示。线程组的数量是线程池并发的上限,通常而言线程组的数量需要配置成数据库实例的CPU数量,从而充分利用CPU。线程池中还有一个服务于所有线程组的timer线程,负责周期性检查线程组是否处于阻塞状态。当检测到阻塞的线程组时,timer线程会通过唤醒或创建新的工作线程来让线程组恢复工作。 +![image.png#697px #442px](images/21image-1.png) + +线程组(thread group): 内部由多个worker线程、0或1个listener线程、高低优先级事件队列(由网络事件event构成)、mutex、epollfd、统计信息等组成。如下图所示: +![image.png](images/21image-2.png) + +#### 新连接的创建与分配 +新连接接入时,线程池按照新连接的线程 ID 取模线程组个数来确定新连接归属的线程组。 +选定新连接归属的线程组后,新连接申请被作为事件放入低优先级队列中,等待线程组中 worker 线程将高优先级事件队列处理完后,就会处理低优先级队列中的请求。 +#### listener 线程 +listener 线程是负责监听连接请求的线程,每个线程组都有一个 listener 线程。线程池的 listene r采用 epoll 实现。当 epoll监听到请求事件时,listener 会根据请求事件的类型来决定将其放入哪个优先级事件队列。 +#### worker 线程 +worker 线程是线程池中真正干活的线程,正常情况下,每个线程组都会有一个活跃的 worker 线程。worker 在理想状态下,可以高效运转并且快速处理完高低优先级队列中的事件。但是在实际场景中,worker 经常会遭遇 IO、锁等等待情况而难以高效完成任务,此时任凭 worker 线程等待将使得在队列中的事件迟迟得不到处理、甚至可能出现长时间没有 listener 线程监听新请求的情况。为此,每当 worker 遭遇 IO、锁等等待情况,如果此时线程组中没有 listener 线程或者高低优先级事件队列非空,并且没有过多活跃 worker,则会尝试唤醒或者创建一个 worker。为了避免短时间内创建大量 worker,带来系统吞吐波动,线程池创建 worker 线程时有一个控制单位时间创建 worker 线程上限的逻辑,线程组内连接数越多则创建下一个线程需要等待的时间越长。 +#### timer 线程 +timer 线程每隔threadpool_stall_limit时间进行一次所有线程组的扫描(check_stall)。当线程组高低优先级队列中存在事件,并且自上次检查至今没有新的事件被worker消费则认为线程组处于停滞状态。停滞的主要原因可能是长时间执行的非阻塞请求, 也可能发生于线程正在等待但 wait_begin/wait_end (尝试唤醒或创建新的 worker 线程)被上层函数忘记调用的场景。timer 线程会通过唤醒或创建新的worker线程来让停滞的线程组恢复工作。timer 线程为了尽量减少对正常工作的线程组的影响,在 check_stall 时采用的是 try_lock 的方式,如果加不上锁则认为线程组运转良好,不再去打扰。 +timer 线程除上述工作外,还负责终止空闲时间超过 wait_timeout 秒的客户端。 + +#### 核心参数 +- thread_pool_idle_timeout +worker 线程在没有需要处理的网络事件时,最多等待此时间(单位秒)后销毁 +- thread_pool_oversubscribe +在一个工作组中最多允许多少个 worker +- thread_pool_size +线程组个数 +- thread_pool_stall_limit +每间隔此时间(单位毫秒)timer线程负责遍历检查一次所有线程组。当线程组没有 listener、高低优先级队列非空并且没有新增的 IO 网络事件时认为线程组处于 stall 状态,timer 线程负责唤醒或创建新的 worker 线程来缓解该线程组的压力。 +- thread_pool_max_threads +线程池中所有worker线程的总数 +- thread_pool_high_prio_mode +高优先级队列工作模式,包括三种: +transactions:只有一个已经开启了事务的 SQL,并且 thread_pool_high_prio_tickets 不为0,才会进入到高优先级队列中,每个连接在 thread_pool_high_prio_tickets 次被放到优先队列中后,会移到普通队列中; +statement:所有连接都被放入高优先级队列中; +none:与statement相反,所有连接都被放入低优先级队列中。 +- thread_pool_high_prio_tickets +transactions工作模式下,给每个连接的授予的 tickets 大小 +#### 状态变量 +- Threadpool_threads +线程组内工作线程数 +- MySQL 在 Replication 收到 Source 的 binlog 时,默认情况下无法保证 relay log 实时落盘,即 sync_relay_log=10000;如果需要保证 relay log 实时落盘,即 sync_relay_log=1,则每个 event 会调用一次 fsync,数据库性能大幅下降。 +threadpool中 idle 的线程数量 + +## 强同步 +### 概述 +#### MySQL 原生半同步复制缺陷: +1. MySQL 半同步复制支持退化成异步复制,在严格的金融场景下不一定合适。 +2. MySQL 在 Replication 收到 Source 的 binlog 时,默认情况下无法保证 relay log 实时落盘,即sync_relay_log=10000;如果需要保证 relay log 实时落盘,即 sync_relay_log=1,则每个 event 会调用一次 fsync,数据库性能大幅下降。 +3. MySQL 在等待 Replication 返回 ACK 时工作线程是阻塞状态的,若长时间收不到 ACK,用户提交被挂起。 +- 如果要提高并发则要会开启更多的线程,而线程越多,时耗就越不稳定,性能达到某个值之后会下降。 +- 在跨 IDC 等延时比较大的情况下,MySQL 半同步复制性能下降比较厉害。 +#### TXSQL 强同步复制主要改造如下: +1. 如果 Source 等待 Replication ACK 出现超时,则返回给客户端失败,但不可退化模式下强同步复制不退化成异步复制。确保主备数据强一致,主备切换事务0丢失,满足金融场景的要求。 +2. 增加 rpl_replication_ack_thread 线程,循环取出 io thread 接收到的 binlog name 和 pos 等信息,且只处理最后一个。如果队列为空,则等待。可以通过组的机制来实现,性能与异步相当。 +- 启用该功能后,从库 io thread 不是在接收主库的 event 之后立即写入磁盘(也不是 fsync),而是将 binlog 文件名和偏移量插入一个队列。 +- 使用 rpl_replication_ack_thread 线程从队列中获取 binlog 位置信息,然后写入 binlog_cache,并 fsync,然后给强同步主库回 ACK 消息。 +3. 强同步复制采用线程池+业务线程异步化,充分利用资源,性能接近异步复制 +- 在 Source 等待 Replication ACK的过程中将会话保存起来,然后线程切换到其他的会话处理,不用无谓的等待。 +- 性能提升的同时响应时间会增加,但在高并发场景下 TPS 不下降。 + +### 原理 +如下是强同步原理图: +![image.png](images/21image-3.png) +首先 Source 上一笔写请求到达,线程池分配连接处理该请求,当收到 commit 之后先写 binlog,这时继续往下应该回吐客户端信息,但对于开启了强同步的服务来说,此时会先 hold 住这个操作,在内存保存会话信息。 + +然后可以继续处理其链接的请求。此时客户端还不能收到应答,啥时候能收到应答呢?Source 启动之后,会先启动一个 udp 服务器,用来接受 Replication 收到 binlog 的ACK请求,同时再启动 16 个工作线程,当收到 ACK 请求时,这 16 个线程其中之一去唤醒刚刚保存的会话,执行下半段(如执行引擎层提交等)并对客户端返回应答信息。 + +所以,在 Source 上新开了两组线程,一组为接受 ACK 应答线程(Dump ACK Thread),另外一组为唤醒hang住的客户端连接线程(User ACK Thread)。Replication 这里比较简单,就是在io线程刷盘 relay log 时给 Source 的udp线程发一个应答包。 +### 核心参数 +- sqlasyn=ON +是否开启强同步模式。Source 和 Replication 需同时开启该参数,强同步才能正常工作。 +注意:强同步必须和 thread pool 一起使用;针对使用 extra port 或者 socket 连接(没有使用 thread pool),强同步模式失效。 +- sqlasyntimeout=30 +强同步下 Source 等待 Replication ACK 最大时间;如果超时之后会报超时的错误并断开连接。 +- tdsql_allow_async=OFF +如果 Source 没有收到 Replication ACK,则允许降级为异步复制。 +- sqlasync_after_sync=OFF +如果为 ON,则 Source 的用户线程在收到 Replication ACK 后进行 engine commit,即 AFTER_SYNC 模式。如果为 OFF,则 AFTER_COMMIT 模式。 +- sqlasynwarntimeout=3 +Source 接收 Replication ACK 超过配置的时间,将会在 error 日志里打印信息,便于在网络、备机等异常的时候分析日志既可以发现一些线索。日志格式如下: + +```sql +[ERROR] [MY-000000] [Server] session waiting for ack of binlog pos (2,5780) cost [6] sec,exceed 3 sec +``` +- relay_log_sync_threshold=20000 +在同步中继日志并将ACK发送给Source之前要累积的字节数。 +- relay_log_sync_timeout=1000 +如果自从上次从IO线程fsync&ACK中继日志以来已经过去了这么多微秒,则 IO 线程无论如何都将 fsync&ACK 中继日志,而与 relay_log_sync_threshold 无关。此超时应该短于 sqlasyntimeout,否则客户端在提交事务时将获得ER_RBTIMEOUT 错误,然后断开连接。 +- relay_log_sync_txn_count=10 +如果IO线程自上次fsync&ACK中继日志以来已接收到这么多事务的二进制日志,则无论其他限制如何,它将仍然 fsync&ACK中继日志。 +- tdsql_relay_log_opt=OFF +如果为 ON,始终在事务结束时刷 relay log,以使 relay log 可靠。 +- sqlasync_group_Replication_ack=TRUE +是否开启 Replication 节点使用 group ack(merge fsync),保证数据持久化,减少 IO。 + +### 状态变量 +- sqlasyn_acks_to_Source +Replication 发送 ACK 给 Maste r的次数。 +- sqlasyn_deal_trx_by_ans + Source 收到 Replication ACK 后处理事务数。 +- sqlasyn_exceed_warn_num + Source 接收 Replication AC K时间大于 sqlasynwarntimeout 且小于 sqlasyntimeout 时 warn 信息的次数。 +- sqlasyn_get_Replication_ans + Source 接收 Replication ACK 的次数。 +- sqlasyn_Replication_recv_txns + 统计 Replication 接受 txn 的状态变量。 +- sqlasyn_Replication_relaylog_syncs + relay log fsync 的次数,需要开启参数 tdsql_relay_log_opt。 +- sqlasyn_timeout_num + 强同步超时次数。 +- sqlasync_delay_commit + 强同步(finish_command)提交次数(非 ordered_commit 提交) + +## 审计 +### 概述 +对于一个仓库,如果要防盗, 常见做法是出入口全装上监控,一旦有问题了,调监控查找异常情况。对数据库来说也类似,数据库也有出入口,对所有连接出入口监控,记录下所有动作,一旦有问题了,查询历史动作,找到关键信息。如果仓库中的东西价值高,损失已经造成,监控只是事后诸葛,所以往往请专业人士在巡逻防盗,防止偷盗发生。同样数据库审计也有更专业的手段,sql 阻断,在动作发生前,对动作行为分析,如果判断符合预先设置的高危动作,直接中止执行,防止对数据造成破坏。 +**审计定义:记录用户访问数据库行为,定位非法动作,事后追根溯源,提高数据库安全性的功能** + +### 原理 +同步审计的架构如下图所示,左侧灰色部分对应数据库服务器 mysqld,它采用线程池中相对固定的工作线程来处理所有用户的连接。工作线程每执行一个 query 或处理一个新的连接会生成一个审计 event。工作线程需要结合审计规则判断当前 event 是否需要记录,如果需要记录,则将审计 event 按一定格式转化为审计日志,并拷贝到公共的 Audit buffer中。Flush thread 负责异步将 Audit buffer 中的审计日志落盘到本地。 + +![image.png](images/21image-4.png) + +接下来,详细聊一下同步审计的实现。下图左侧是一条 query 的执行过程,包括连接,语句解析、分析、语句重写、语句优化、语句执行、语句返回和资源释放等几个步骤。为了能获取 query 执行的影响行数、执行时间、错误码等内容,TXSQL 审计选择了在语句返回之后,资源释放之前的观察点处理审计逻辑。下图右侧是同步审计的具体流程,工作线程在语句返回之后、进入审计观察点,如果实例没有开启审计,则直接进入资源释放步骤。如果用户开启了审计,进一步判断当前审计 event 是否需要记录。如果需要则获取审计内容并计算审计内容的长度。计算完审计日志长度后,加锁在公共 Audit buffer 中进行内存占位,接下来立刻释放锁,在无锁的情况下将审计 event 转化为 json 格式的审计日志并拷贝到公共 Audit buffer 中已占领的位置处。Flush线程异步将Audit buffer中的审计日志落盘到本地。 + +![image.png](images/21image-5.png) +同步审计最大的特点在于工作线程在生产审计日志的过程中,计算审计内容长度、内容 json 转换和 Audit buffer 拷贝都是在无锁的情况下进行的。整个过程只有内存占位需要持有锁,临界区足够小,使得 Audit buffer 的写锁没有成为系统瓶颈,从而在绝大多数场景下保持了极高的性能。平均的性能影响只有6%。 + +### 核心参数 +- audit_txsql_audit_mode +审计日志工作模式,all 代表全部审计,filter 则代表根据 `audit_txsql_filter_db`、`audit_txsql_filter_user`、`audit_txsql_filter_ip`记录审计日志 +- audit_txsql_log_file_max_size +单个审计日志文件的大小,范围在8M到10G +- audit_txsql_rotate_write_log +是否开启轮流模式的写文件 +- audit_txsql_rotate_file_count +使用轮流模式的写文件的个数,范围在1到10 +- audit_txsql_truncate_length +sql 截断长度 +- audit_txsql_audit_dir +用户审计的目标目录 +- audit_txsql_filter_db +需要记录审计日志的 db +- audit_txsql_filter_ip +需要记录审计日志的 ip +- audit_txsql_filter_user +需要记录审计日志的用户 +### 状态变量 +- audit_cdb_ignore_actions +因系统压力过大,忽略的审计记录条数 +- audit_cdb_truncat_counts +被截断的sql记录条数 + +## 列压缩 +### 概述 +当前有针对行格式的压缩和针对数据页面的压缩,但是这两种压缩方式在处理一个表中的某些大字段和其他很多小字段,同时对小字段的读写很频繁,对大字段访问不频繁的情形中,它的读写访问时都会造成很多不必要的计算资源的浪费,因此需要列压缩功能来压缩哪些访问不频繁的大字段,同时能够减少整行字段的的存储空间,提高读写访问的效率。 +例如:一张员工表:`create table employee(id int, age int, gender boolean, other varchar(1000) primary key (id))`,当对`id,age,gender`小字段访问比较频繁,而对`other`大字段的访问频率比较低时,可以将`other`列创建为压缩列。一般情况下,只有对`other`的读写才会触发对该列的压缩和解压,对其他列的访问并不会触发该列的压缩和解压。由此进一步降低了行数据存储的大小,使得我们在访问频繁的小字段能够更快,对存储空间比较大而访问频率比较低的字段,使得我们进一步够降低存储空间。 + +### 原理 +#### 在Server层中的词法分析和语法分析中,增加压缩与压缩算法列属性的词法表达与语法检查 +在列属性(column attribute)中增加压缩属性。这里利用到 MySQL 原生的 column format 实现:column format原本有`[default|fixed|dynamic]`三种格式。TXSQL 在此基础上新增格式`compressed`,当词法解析到某一列的属性为`COLUMN_FORMAT COMPRESSED`或`COMRPESSED`,则将这一列的属性设置为压缩属性。 +该属性会暂时保存到 `Create_field` 类中成员 `flags` 的第24-25位,并进一步通过类`Field`的成员`flags`进行传递 +#### 在Server层中获取并存储压缩信息 +在Server层的数据字典中,列格式和列压缩算法被用 (key, value) 的 map 形式记录在表`mysql.columns`的`options`列里,以 mediumtext 列的形式落地。 +其中列格式的 key 为`column_format`,value为0-3 (分别表示`default`,`fixed`,`dynamic`,`compressed`);列压缩算法的 key 为`compressed_algo`,value为 0-2 (分别表示`zlib(default)`,`lz4`,`zstd`)。 +#### 在InnoDB引擎层中读取压缩信息并且对数据进行压缩/解压缩 +MySQL-8.0 在调用 InnoDB 接口时会生成临时内存表,这时会从`Create_field`中读出各种属性与 options 填充到内存表中。此时,压缩列和压缩算法被取出存到`flags`和`comp_col_algo`中。 +之后,InnoDB 会构造 template 表来完成 MySQL 表到 InnoDB 的转换。TXSQL 在 InnoDB 的 template 列表中增加了`is_compressed`属性,来表示是否压缩,这个属性从`flags`中读取;还增加了 `col_comp_algorithm`属性,来表示压缩算法,从`comp_col_algo` 中获得。 +`row_prebuilt_t`这一数据类型在InnoDB中被用来加速处理 MySQL 到 InnoDB 表的转换,TXSQL 在其中增加了`compress_heap`内存片,用来处理压缩与解压缩。 + +**压缩格式** +压缩格式由先后顺序分为**Header**, **Prefix**和压缩后的数据,**Header**和**Prefix**格式如下: +``` +----------------------------------------------------------- +| Header | Prefix | +----------------------------------------------------------- +| compressed | algorithm | unused | len-len | original-len| +| [1] | [2] | [2] | [3] | [1] | +----------------------------------------------------------- +| 0 0 | 1 2 | 3 5 | 6 7 | 1-4 Byte(s)| +----------------------------------------------------------- +``` +压缩Header用于存放压缩相关的信息。 +第0位`compressed`用于存放是否压缩,由于存在__数据原长度达不到阈值__ 和 **压缩后长度超过原长__的可能,在这两种情况下不会对数据进行压缩存储; +第1到2位`algorithm`用于表示压缩使用的算法; +第3到4位暂时没被使用; +第5到7位`len_len`用于表示__存储原长度所需的字节数-1**,由于解压时需要重新分配一个足够大的内存,保存原长度可以保证这个内存正好可以存放解压数据。`len_len=0`,表示需要1 Bytes来存储原长,由于`LONGBLOB`的长度上限为`2^32-1`,用4个字节的无符号整数已经可以存放,所以`len_len`的上限为3,这样的设计使得压缩格式更加紧凑; +压缩Prefix用于存放原压缩长度,它的 size 由`len_len`决定。 +**压缩/解压缩算法** +压缩/解压缩在一些公共的MySQL和 InnoDB 的数据转换接口实现:`row_mysql_store_col_in_innobase_format`,`row_mysql_read_blob_ref`,具体利用到`compress_heap`内存片来实行压缩/解压缩。 +压缩/解压缩算法调用了 MySQL 内置的 ZLIB,LZ4和ZSTD库,其中 +`ZLIB`调用了`compress2`和`uncompress`接口已支持多level的压缩; +`LZ4`调用了`LZ4_compress_default`和`LZ4_decompress_safe`接口; +`ZSTD`采用了普通压缩方式,调用了`ZSTD_compress`和`ZSTD_decompress`接口来支持多level的压缩。 +### 核心参数 +- innodb_min_column_compress_length +如果列的原 size 超过此参数,则进行压缩;否则只添加压缩 header,不对数据进行实际压缩。 +- innodb_zlib_column_compression_level +目前提供了 ZLIB 的多压缩级别,值为0-9,其中 0 表示不压缩,1 表示最快的压缩,9 表示压缩程度最大的压缩,默认为 6。 +innodb_zstd_column_compression_level +ZStandard有三种压缩方式。此处列压缩支持的是不含字典,非 streaming 的普通压缩,提供了多压缩级别,值为1-22,1 表示最快的压缩,22 表示压缩程度最大的压缩,默认为 3; diff --git a/docs/guide/22-txsql_faq.md b/docs/guide/22-txsql_faq.md new file mode 100644 index 0000000..caf38b8 --- /dev/null +++ b/docs/guide/22-txsql_faq.md @@ -0,0 +1,11 @@ +1. 强同步等待ack超过sqlasyntimeout(默认30s)后的错误提示 + +``` +ERROR 1613 (XA106): The transaction is in doubt. Please check whether the transaction has been committed. +``` + +2. 大事务产生的binlog超过binlog_write_threshold(默认1610612736)后错误提示: + +``` +ERROR 4040 (HY000): binlog write threshold(xxx) exceeded, the transaction has xxx (bytes) binlogs, it is aborted. +``` \ No newline at end of file diff --git a/docs/guide/images/17image.png b/docs/guide/images/17image.png new file mode 100644 index 0000000000000000000000000000000000000000..83063baefa2c353bc9932f8759b30ee75008402d GIT binary patch literal 286996 zcmaHTWmFtpuq_042pXIa0t9!5;O-C{26uONx8UyX?(XjH?mD>hCf~jH@B7iKdsIf;J) z`XOYfDsCh#4fYGP4GRVyYzhYX?-bC23tB*zXM=-5fY#vu_GN$hzoQUj*%1G?{pJ4O ziJkUe_`tw^gNY0AE4hH5XTSiIh8iBPF3lG3e!-H29TP}3FyQFp`MXD$r}xY3vfHM{ zCB4jQ?V7%@na*KyG=HM7qNy5MmYm9@Bh%EC>_o?UFe+OpH8kghx(5`z$ zgu2OaKs9lQA3+@pdvY2Hx!QLJW&;-y`HO!~&o0xkE7&j^y{L_SjL-Y)pc!$-59Q|?7VXwc7x}bq@I866* zVjx72+tE2tOH@K*d+caa6X(9QX8${y?4-Nz|L-Uc2VnoV^?^^SY&^Y9G{u!_V}CPd z0wH3n2Y=bZRh1RWqEmC4$7Q1rCM>i+3C)Gn9-O)3V3$b~G>kvQ1ie`s(}l3JEp%4X 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zZAe%^`E#cLYYi0B==`OQJN%#VqO1_m6ep$L85VGL4`+lB(Hj)Z-pHS<`dr^005FG= z8ri&-FKMSa-@bj<>e z#f)|sOqj83ytRoAo*%JeOP8o!-EC)(Ggj|1v}ol1@YJx9YIBsZL%Ag#WZXT7FR%5c zN3*+&vsg(Yd(qRS94^%Tc-YnEdE>Ui_a$ilk~I4R5O88*t+LJf5vk7Rza)iULtu;K zAhx(9gui~9d?I>ZX_S9*-f%hrE6h3G;D=*7yJ_*G2C1;40ERW+t(u_p(tJ@`ZMr<02GpYfB*mh literal 0 HcmV?d00001 diff --git a/mkdocs.yml b/mkdocs.yml index f176a59..cf6880c 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -92,8 +92,13 @@ nav: - V2.3.0升级特性pg_unlock使用说明: guide/11-pg_unlock.md - V2.3.0升级特性opentenbase_subscription使用说明: guide/12-opentenbase_subscription.md - TXSQL: - - 概述: guide/16-txsql_quickstart.md - - 安装指南: guide/17-txsql_deploy.md + - 概述: guide/16-txsql_quickstart.md + - 架构说明: guide/17-txsql_architecture.md + - 安装指南: guide/18-txsql_deploy.md + - 应用接入: guide/19-txsql_access.md + - 基础使用: guide/20-txsql_basic.md + - 高级使用: guide/21-txsql_advanced.md + - 常见问题: guide/22-txsql_faq.md - 周边生态: - Prometheus/Grafana可视化监控: guide/13-opentenbase_monitoring.md - 在kubernetes上运行OpenTenbase: guide/14-kubeblocks-support.md

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