Sharding JDBC案例实战


基础分库

以下实例基于shardingsphere 4.1.0 + SpringBoot 2.2.5.RELEASE版本

依赖导入:

<properties>     <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>     <project.compile.sourceEncoding>UTF-8</project.compile.sourceEncoding>     <springboot.version>2.2.5.RELEASE</springboot.version>     <shardingsphere.version>4.1.0</shardingsphere.version> </properties>        <dependencies>         <dependency>             <groupId>org.springframework.boot</groupId>             <artifactId>spring-boot-starter-jdbc</artifactId>             <version>${springboot.version}</version>         </dependency>          <dependency>             <groupId>org.springframework.boot</groupId>             <artifactId>spring-boot-starter-data-jpa</artifactId>             <version>${springboot.version}</version>         </dependency>          <dependency>             <groupId>org.springframework.boot</groupId>             <artifactId>spring-boot-starter-test</artifactId>             <version>${springboot.version}</version>             <scope>test</scope>         </dependency>          <dependency>             <groupId>mysql</groupId>             <artifactId>mysql-connector-java</artifactId>             <version>8.0.13</version>         </dependency>          <dependency>             <groupId>org.apache.shardingsphere</groupId>             <artifactId>sharding-jdbc-spring-boot-starter</artifactId>             <version>${shardingsphere.version}</version>         </dependency>      </dependencies> 

场景:通过id字段取余分片到两个数据库

  1. 引入依赖
<dependency>     <groupId>org.apache.shardingsphere</groupId>     <artifactId>sharding-jdbc-spring-boot-starter</artifactId> </dependency> 
  1. 参数配置
spring.shardingsphere.datasource.names=ds0,ds1  spring.shardingsphere.datasource.ds0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.ds0.jdbc-url=jdbc:mysql://localhost:3306/ds_0?useUnicode=true&characterEncoding=utf8&autoReconnect=true&allowMultiQueries=true&useSSL=false&serverTimezone=UTC spring.shardingsphere.datasource.ds0.username=root spring.shardingsphere.datasource.ds0.password=0490218292    spring.shardingsphere.datasource.ds1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.ds1.jdbc-url=jdbc:mysql://localhost:3306/ds_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&allowMultiQueries=true&useSSL=false&serverTimezone=UTC spring.shardingsphere.datasource.ds1.username=root spring.shardingsphere.datasource.ds1.password=0490218292  spring.shardingsphere.sharding.tables.position.database-strategy.inline.sharding-column=id spring.shardingsphere.sharding.tables.position.database-strategy.inline.algorithm-expression=ds$->{id % 2}  
  1. 测试插入数据
@Test     public void testAdd(){         for (int i = 0; i <= 20; i++) {             Position position=new Position();             position.setId((long) i);             position.setName("lagou"+i);             position.setSalary("1000");             position.setCity("beijing");             positionRepository.save(position);         }     } 

主键生成使用雪花算法

  1. id需要设置IDENTITY
@Id @Column(name = "id") @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; 
  1. 参数配置

增加id设置:

#id设置 spring.shardingsphere.sharding.tables.position.key-generator.column=id spring.shardingsphere.sharding.tables.position.key-generator.type=SNOWFLAKE 
  1. 测试
    @Test     public void testAdd(){         for (int i = 0; i <= 20; i++) {             Position position=new Position();             position.setName("lagou"+i);             position.setSalary("1000");             position.setCity("beijing");             positionRepository.save(position);         }     } 

自定义主键生成器

  1. 自定义主键生成器类
public class MyCustomId implements ShardingKeyGenerator {      @Override     public Comparable<?> generateKey() {         return System.currentTimeMillis()+new Random().nextInt(100000);     }      @Override     public String getType() {         //自定义一个名称         return "MYID";     }      @Override     public Properties getProperties() {         return null;     }      @Override     public void setProperties(Properties properties) {      }  } 
  1. 配置

在resources下创建META-INF/services目录,并创建一个文件,文件名为:org.apache.shardingsphere.spi.keygen.ShardingKeyGenerator

里面写自定义主键生成器的全类名

Sharding JDBC案例实战

  1. 配置生成器类型的地方改为和我们自定义的生成器的类型一致
#id设置 spring.shardingsphere.sharding.tables.position.key-generator.column=id spring.shardingsphere.sharding.tables.position.key-generator.type=MYID 

两表关联的分库

场景:职位表(position)和职位详情表(position_detail)是关联的两个表,关联关系是:position_detail.pid = position.id,那么我们期望在插入数据后,根据职位Id进行查询时能够只查询一个库,而不是笛卡尔积的进行查询。

  1. 完整的参数配置
spring.shardingsphere.datasource.names=ds0,ds1  spring.shardingsphere.datasource.ds0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds0.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.ds0.jdbc-url=jdbc:mysql://localhost:3306/ds_0?useUnicode=true&characterEncoding=utf8&autoReconnect=true&allowMultiQueries=true&useSSL=false&serverTimezone=UTC spring.shardingsphere.datasource.ds0.username=root spring.shardingsphere.datasource.ds0.password=0490218292    spring.shardingsphere.datasource.ds1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.ds1.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.ds1.jdbc-url=jdbc:mysql://localhost:3306/ds_1?useUnicode=true&characterEncoding=utf8&autoReconnect=true&allowMultiQueries=true&useSSL=false&serverTimezone=UTC spring.shardingsphere.datasource.ds1.username=root spring.shardingsphere.datasource.ds1.password=0490218292  #职位表设置 spring.shardingsphere.sharding.tables.position.database-strategy.inline.sharding-column=id spring.shardingsphere.sharding.tables.position.database-strategy.inline.algorithm-expression=ds$->{id % 2} #id设置 spring.shardingsphere.sharding.tables.position.key-generator.column=id spring.shardingsphere.sharding.tables.position.key-generator.type=SNOWFLAKE #职位表详情设置 spring.shardingsphere.sharding.tables.position_detail.database-strategy.inline.sharding-column=pid spring.shardingsphere.sharding.tables.position_detail.database-strategy.inline.algorithm-expression=ds$->{pid % 2} #id设置 spring.shardingsphere.sharding.tables.position_detail.key-generator.column=id spring.shardingsphere.sharding.tables.position_detail.key-generator.type=SNOWFLAKE  

可以看出position的id的分片策略和position_detail的pid的分片策略一致。
2. 测试

@Test public void testQueryPosition(){     Object positionAndDetailById = positionRepository.findPositionAndDetailById(730545854473043968L);     System.out.println(positionAndDetailById); } 

可以看出,只查询了一个库:
Sharding JDBC案例实战

广播表设置

场景:城市表属于基础表,数据量不大,每个库都可以存一样的数据。

  1. 广播表配置
#广播表设置 spring.shardingsphere.sharding.broadcast-tables=city spring.shardingsphere.sharding.tables.city.key-generator.column=id spring.shardingsphere.sharding.tables.city.key-generator.type=SNOWFLAKE 
  1. 测试
@Test public void testAddCity(){     City city=new City();     city.setName("成都");     city.setProvince("四川");     cityRepository.save(city); } 

和之前的不同,这一条数据的插入,两个库都有。且ID也是一致的。

分库且分表

场景:我们有一个订单表,可以根据公司id(companyId)进行分库,然后在根据id进行分表。

  1. 参数配置
#订单表分库且分表 spring.shardingsphere.sharding.tables.b_order.database-strategy.inline.sharding-column=company_id spring.shardingsphere.sharding.tables.b_order.database-strategy.inline.algorithm-expression=ds$->{company_id%2} spring.shardingsphere.sharding.tables.b_order.table-strategy.inline.sharding-column=id spring.shardingsphere.sharding.tables.b_order.table-strategy.inline.algorithm-expression=b_order${id % 2} spring.shardingsphere.sharding.tables.b_order.actual-data-nodes=ds${0..1}.b_order${0..1} #id设置 spring.shardingsphere.sharding.tables.b_order.key-generator.column=id spring.shardingsphere.sharding.tables.b_order.key-generator.type=SNOWFLAKE 
  1. 测试
    @Test     @Repeat(100)     public void testAddBOrder(){         BOrder bOrder=new BOrder();         bOrder.setDel(false);         bOrder.setCompanyId(new Random().nextInt(10));         bOrder.setPositionId(23);         bOrder.setUserId(22);         bOrder.setPublishUserId(11);         bOrder.setResumeType(1);         bOrder.setStatus("AUTO");         bOrder.setCreateTime(new Date());         bOrder.setOperateTime(new Date());         bOrder.setWorkYear("2");         bOrder.setName("lagou");         bOrder.setPositionName("Java");         bOrder.setResumeId(23443);         bOrderRepository.save(bOrder);     } 

我们发现数据插入到了ds_0.b_order0、ds_0.b_order1、ds_1.b_order0、ds_1.b_order1四个node里面。

读写分离

  1. 参数配置
spring.shardingsphere.datasource.names=master,slave0  spring.shardingsphere.datasource.master.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.master.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.master.jdbc-url=jdbc:mysql://localhost:3306/ds_0?useUnicode=true&characterEncoding=utf8&autoReconnect=true&allowMultiQueries=true&useSSL=false&serverTimezone=UTC spring.shardingsphere.datasource.master.username=root spring.shardingsphere.datasource.master.password=0490218292    spring.shardingsphere.datasource.slave0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.slave0.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.slave0.jdbc-url=jdbc:mysql://localhost:3306/ds_0_slave?useUnicode=true&characterEncoding=utf8&autoReconnect=true&allowMultiQueries=true&useSSL=false&serverTimezone=UTC spring.shardingsphere.datasource.slave0.username=root spring.shardingsphere.datasource.slave0.password=0490218292  #读写分离 spring.shardingsphere.masterslave.name=datasource spring.shardingsphere.masterslave.master-data-source-name=master spring.shardingsphere.masterslave.slave-data-source-names=slave0 #多个读库时的负载均衡策略 spring.shardingsphere.masterslave.load-balance-algorithm-type=ROUND_ROBIN  
  1. 查询测试
    @Test     public void test(){         List<City> all = cityRepository.findAll();         all.forEach(x->System.out.println(x));     } 

分库分表+读写分离的参数配置

#数据源 spring.shardingsphere.datasource.names=master0,slave0,slave1,master1,slave2,slave3  spring.shardingsphere.datasource.master0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.master0.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.master0.jdbc-url=jdbc:mysql://localhost:3306/master0?useUnicode=true&characterEncoding=utf-8&useSSL=false spring.shardingsphere.datasource.master0.username=root spring.shardingsphere.datasource.master0.password=root  spring.shardingsphere.datasource.slave0.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.slave0.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.slave0.jdbc-url=jdbc:mysql://localhost:3306/slave0?useSSL=false spring.shardingsphere.datasource.slave0.username=root spring.shardingsphere.datasource.slave0.password=root  spring.shardingsphere.datasource.slave1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.slave1.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.slave1.jdbc-url=jdbc:mysql://localhost:3306/slave1?useSSL=false spring.shardingsphere.datasource.slave1.username=root spring.shardingsphere.datasource.slave1.password=root  spring.shardingsphere.datasource.master1.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.master1.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.master1.jdbc-url=jdbc:mysql://localhost:3306/master1?useUnicode=true&characterEncoding=utf-8&useSSL=false spring.shardingsphere.datasource.master1.username=root spring.shardingsphere.datasource.master1.password=root  spring.shardingsphere.datasource.slave2.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.slave2.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.slave2.jdbc-url=jdbc:mysql://localhost:3306/slave2?useSSL=false spring.shardingsphere.datasource.slave2.username=root spring.shardingsphere.datasource.slave2.password=root  spring.shardingsphere.datasource.slave3.type=com.zaxxer.hikari.HikariDataSource spring.shardingsphere.datasource.slave3.driver-class-name=com.mysql.jdbc.Driver spring.shardingsphere.datasource.slave3.jdbc-url=jdbc:mysql://localhost:3306/slave3?useSSL=false spring.shardingsphere.datasource.slave3.username=root spring.shardingsphere.datasource.slave3.password=root  #分库分表 spring.shardingsphere.sharding.tables.b_order.database-strategy.inline.sharding-column=company_id spring.shardingsphere.sharding.tables.b_order.database-strategy.inline.algorithm-expression=master$->{company_id % 2} spring.shardingsphere.sharding.tables.b_order.actual-data-nodes=master$->{0..1}.b_order$->{0..1} spring.shardingsphere.sharding.tables.b_order.table-strategy.inline.sharding-column=id spring.shardingsphere.sharding.tables.b_order.table-strategy.inline.algorithm-expression=b_order$->{id % 2}  #读写分离 spring.shardingsphere.sharding.master-slave-rules.master0.master-data-source-name=master0 spring.shardingsphere.sharding.master-slave-rules.master0.slave-data-source-names=slave0, slave1 spring.shardingsphere.sharding.master-slave-rules.master1.master-data-source-name=master1 spring.shardingsphere.sharding.master-slave-rules.master1.slave-data-source-names=slave2, slave3 

强制路由

在一些应用场景中,分片条件并不存在于SQL,而存在于外部业务逻辑。因此需要提供一种通过在外部业务代码中指定路由配置的一种方式,在ShardingSphere中叫做Hint。如果使用Hint指定了强制分片路由,那么SQL将会无视原有的分片逻辑,直接路由至指定的数据节点操作。

使用场景:

  • 数据分片操作,如果分片键没有在SQL或者数据表中,而是在业务逻辑代码中
  • 读写分离操作,如果需要强制在主库进行某些操作
  1. 自定义Hint实现类
public class MyHintShardingAlgorithm implements HintShardingAlgorithm<String> {       @Override     public Collection<String> doSharding(Collection<String> collection, HintShardingValue<String> hintShardingValue) {         Collection<String> result=new ArrayList<>();        if(hintShardingValue.getValues().contains("master")){            ((ArrayList<String>) result).add("master");        }else {            ((ArrayList<String>) result).add("slave0");        }        return result;     } } 
  1. 配置自定义的Hint类
spring.shardingsphere.sharding.tables.city.database-strategy.hint.algorithm-class-name=com.mmc.sharding.hint.MyHintShardingAlgorithm  
  1. 测试
    @Test     public void testHint(){         HintManager hintManager = HintManager.getInstance();         hintManager.addDatabaseShardingValue("city","master"); //        hintManager.setMasterRouteOnly();         List<City> all = cityRepository.findAll();         all.forEach(x->System.out.println(x));     } 

还可以使用hintManager.setMasterRouteOnly()指定仅路由到主库。

测试过程中发现Hint的自定义策略和读写分离配置有冲突。配置了读写分离后自定义Hint类不生效了,仅hintManager.setMasterRouteOnly()还可以用。

数据加密

脱敏配置分为如下几个:数据源配置,加密器配置,脱敏表配置以及查询属性配置,其详情如下图所示:
Sharding JDBC案例实战

  • 数据源配置:指Datasource的配置信息
  • 加密器配置:指使用什么加密策略进行加解密。目前ShardingSphere内置了两种加解密策略AES、MD5
  • 脱敏表配置:指定哪个列用于存储密文数据,哪个列存明文数据,以及在应用里用哪个列(应用层sql里使用的列名)
  • 查询属性配置:当数据库同时存了明文和密文的时候,该属性开关用于决定是直接查询数据库表里的明文,还是查密文然后通过解密后返回。
  1. 先创建个表
CREATE TABLE `c_user` (   `Id` bigint(11) NOT NULL AUTO_INCREMENT,   `name` varchar(256) DEFAULT NULL,   `pwd_plain` varchar(256) DEFAULT NULL,   `pwd_cipher` varchar(256) DEFAULT NULL,   PRIMARY KEY (`Id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; 
  1. 创建实体类
@Entity @Table(name = "c_user") public class CUser implements Serializable {     @Id     @Column(name = "id")     @GeneratedValue(strategy = GenerationType.IDENTITY)     private Long id;      @Column(name = "name")     private String name;      /**      * 逻辑列名      */     @Column(name = "password")     private String password; } 
  1. 参数配置
#定义数据表真实明文列 #spring.shardingsphere.encrypt.tables.c_user.columns.password.plain-column=pwd_plain #定义数据表真实密文列 spring.shardingsphere.encrypt.tables.c_user.columns.password.cipher-column=pwd_cipher #定义加密器,名称为lagou_pwd spring.shardingsphere.encrypt.encryptors.lagou_pwd.type=aes spring.shardingsphere.encrypt.encryptors.lagou_pwd.props.aes.key.value=1234 #指定加密器,password是逻辑列名,与实体类中的字段对应 spring.shardingsphere.encrypt.tables.c_user.columns.password.encryptor=lagou_pwd 
  1. 测试
    @Test     public void testEncrypt(){         CUser cUser=new CUser();         cUser.setName("阿百川");         cUser.setPassword("123456");         cUserRepository.save(cUser);     }      @Test     public void testQueryByPassword(){         List<CUser> byPassword = cUserRepository.findByPassword("123456");         System.out.println(byPassword);     } 

Sharding JDBC案例实战
数据库存放的已经是密文了,通过明文密码也可以查询到数据了。

分布式事务

仅仅需要在测试方法上加上两个注解:

    @Transactional(rollbackFor = Exception.class)     @ShardingTransactionType(TransactionType.XA) 

TransactionType有XA、BASE、LOCAL三种

@Test     @Transactional(rollbackFor = Exception.class)     @ShardingTransactionType(TransactionType.XA)     public void testAddDetail(){         for (int i = 0; i <= 3; i++) {             Position position=new Position();             position.setName("lagou"+i);             position.setSalary("1000");             position.setCity("beijing");             positionRepository.save(position);               if(i==3){                 throw new RuntimeException();             }             PositionDetail positionDetail=new PositionDetail();             positionDetail.setPid(position.getId());             positionDetail.setDescription("详情");             positionDetailRepository.save(positionDetail);         }     } 
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