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SpringBoot整合sharding-jdbc实现分库分表与读写分离
用于数据库/表拆分的关键字段
ex: 用户表根据user_id取模拆分到不同的数据库中
可参考：https://shardingsphere.apache.org/document/current/cn/user-manual/shardingsphere-jdbc/configuration/built-in-algorithm/sharding
精确分片算法
范围分片算法
复合分片算法
Hint分片算法
3、分片策略（分片键+分片算法）
行表达式分片策略
标准分片策略
复合分片策略
Hint分片策略
不分片策略
可查看源码 org.apache.shardingsphere.core.yaml.config.sharding.YamlShardingStrategyConfiguration
温馨小提示：详情可查看案例demo源码
这里先贴出完整的application.yml配置，后面实现每一种分片策略时，放开其相应配置即可~
# sharding-jdbc配置 spring: shardingsphere: # 是否开启SQL显示 props: sql: show: true # ====================== ↓↓↓↓↓↓ 数据源配置 ↓↓↓↓↓↓ ====================== datasource: names: ds-master-0,ds-slave-0-1,ds-slave-0-2,ds-master-1,ds-slave-1-1,ds-slave-1-2 # ====================== ↓↓↓↓↓↓ 配置第1个主从库 ↓↓↓↓↓↓ ====================== # 主库1 ds-master-0: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.jdbc.Driver jdbc-url: jdbc:mysql://127.0.0.1:3306/ds0?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false # MySQL在高版本需要指明是否进行SSL连接 解决则加上 &useSSL=false username: root password: root # 主库1-从库1 ds-slave-0-1: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.jdbc.Driver jdbc-url: jdbc:mysql://127.0.0.1:3307/ds0?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false # MySQL在高版本需要指明是否进行SSL连接 解决则加上 &useSSL=false username: root password: root # 主库1-从库2 ds-slave-0-2: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.jdbc.Driver jdbc-url: jdbc:mysql://127.0.0.1:3307/ds0?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false # MySQL在高版本需要指明是否进行SSL连接 解决则加上 &useSSL=false username: root password: root # ====================== ↓↓↓↓↓↓ 配置第2个主从库 ↓↓↓↓↓↓ ====================== # 主库2 ds-master-1: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.jdbc.Driver jdbc-url: jdbc:mysql://127.0.0.1:3306/ds1?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false # MySQL在高版本需要指明是否进行SSL连接 解决则加上 &useSSL=false username: root password: root # 主库2-从库1 ds-slave-1-1: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.jdbc.Driver jdbc-url: jdbc:mysql://127.0.0.1:3307/ds1?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false # MySQL在高版本需要指明是否进行SSL连接 解决则加上 &useSSL=false username: root password: root # 主库2-从库2 ds-slave-1-2: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.jdbc.Driver jdbc-url: jdbc:mysql://127.0.0.1:3307/ds1?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false # MySQL在高版本需要指明是否进行SSL连接 解决则加上 &useSSL=false username: root password: root sharding: # ====================== ↓↓↓↓↓↓ 读写分离配置 ↓↓↓↓↓↓ ====================== master-slave-rules: ds-master-0: # 主库 masterDataSourceName: ds-master-0 # 从库 slaveDataSourceNames: - ds-slave-0-1 - ds-slave-0-2 # 从库查询数据的负载均衡算法 目前有2种算法 round_robin（轮询）和 random（随机） # 算法接口 org.apache.shardingsphere.spi.masterslave.MasterSlaveLoadBalanceAlgorithm # 实现类 RandomMasterSlaveLoadBalanceAlgorithm 和 RoundRobinMasterSlaveLoadBalanceAlgorithm loadBalanceAlgorithmType: ROUND_ROBIN ds-master-1: masterDataSourceName: ds-master-1 slaveDataSourceNames: - ds-slave-1-1 - ds-slave-1-2 loadBalanceAlgorithmType: ROUND_ROBIN # ====================== ↓↓↓↓↓↓ 分库分表配置 ↓↓↓↓↓↓ ====================== tables: t_user: actual-data-nodes: ds-master-$->{0..1}.t_user$->{0..1} # 配置属性可参考 org.apache.shardingsphere.core.yaml.config.sharding.YamlShardingStrategyConfiguration # =========== ↓↓↓↓↓↓ 行表达式分片策略 ↓↓↓↓↓↓ =========== # 在配置中使用 Groovy 表达式，提供对 SQL语句中的 = 和 IN 的分片操作支持，只支持单分片健。 # # ====== ↓↓↓↓↓↓ 分库 ↓↓↓↓↓↓ ====== # database-strategy: # inline: # sharding-column: user_id # 添加数据分库字段(根据字段插入数据到哪个库 ex：user_id) # algorithm-expression: ds-master-$->{user_id % 2} # 根据user_id取模拆分到不同的库中 # # ====== ↓↓↓↓↓↓ 分表 ↓↓↓↓↓↓ ====== # table-strategy: # inline: # sharding-column: sex # 添加数据分表字段(根据字段插入数据到哪个表 ex：sex) # algorithm-expression: t_user$->{sex % 2} # 分片算法表达式 => 根据用户性别取模拆分到不同的表中 # =========== ↓↓↓↓↓↓ 标准分片策略 ↓↓↓↓↓↓ =========== # 精确分片算法 => sql在分库/分表键上执行 = 与 IN 时触发计算逻辑，否则不走分库/分表，全库/全表执行。 # database-strategy: # standard: # sharding-column: user_id # 分库用到的键 # precise-algorithm-class-name: com.zhengqing.demo.config.sharding.precise.MyDbPreciseShardingAlgorithm # 自定义分库算法实现类 # table-strategy: # standard: # sharding-column: sex # 添加数据分表字段(根据字段插入数据到那个表 ex：sex) # precise-algorithm-class-name: com.zhengqing.demo.config.sharding.precise.MyTablePreciseShardingAlgorithm # 自定义分表算法实现类 # 范围分片算法 => sql在分库/分表键上执行 BETWEEN AND、>、<、>=、<= 时触发计算逻辑，否则不走分库/分表，全库/全表执行。 # database-strategy: # standard: # sharding-column: user_id # precise-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyDbPreciseShardingAlgorithm # range-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyDbRangeShardingAlgorithm # table-strategy: # standard: # sharding-column: sex # precise-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyTablePreciseShardingAlgorithm # range-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyTableRangeShardingAlgorithm # =========== ↓↓↓↓↓↓ 复合分片策略 ↓↓↓↓↓↓ =========== # SQL 语句中有>，>=, <=，<，=，IN 和 BETWEEN AND 等操作符，不同的是复合分片策略支持对多个分片健操作。 # database-strategy: # complex: # sharding-columns: user_id,sex # algorithm-class-name: com.zhengqing.demo.config.sharding.complex.MyDbComplexKeysShardingAlgorithm # table-strategy: # complex: # sharding-columns: user_id,sex # algorithm-class-name: com.zhengqing.demo.config.sharding.complex.MyTableComplexKeysShardingAlgorithm # =========== ↓↓↓↓↓↓ hint分片策略 ↓↓↓↓↓↓ =========== # 通过 Hint API实现个性化配置 => 可查看 com.zhengqing.demo.service.impl.UserServiceImpl.listPageForHint database-strategy: hint: algorithm-class-name: com.zhengqing.demo.config.sharding.hint.MyDbHintShardingAlgorithm table-strategy: hint: algorithm-class-name: com.zhengqing.demo.config.sharding.hint.MyTableHintShardingAlgorithm
1、行表达式分片策略
# =========== ↓↓↓↓↓↓ 行表达式分片策略 ↓↓↓↓↓↓ ===========
# 在配置中使用 Groovy 表达式，提供对 SQL语句中的 = 和 IN 的分片操作支持，只支持单分片健。
# ====== ↓↓↓↓↓↓ 分库 ↓↓↓↓↓↓ ======
database-strategy:
inline:
sharding-column: user_id # 添加数据分库字段(根据字段插入数据到哪个库 ex：user_id)
algorithm-expression: ds-master-$->{user_id % 2} # 根据user_id取模拆分到不同的库中
# ====== ↓↓↓↓↓↓ 分表 ↓↓↓↓↓↓ ======
table-strategy:
inline:
sharding-column: sex # 添加数据分表字段(根据字段插入数据到哪个表 ex：sex)
algorithm-expression: t_user$->{sex % 2} # 分片算法表达式 => 根据用户性别取模拆分到不同的表中2、标准分片策略
A: 精确分片算法
# 精确分片算法 => sql在分库/分表键上执行 = 与 IN 时触发计算逻辑，否则不走分库/分表，全库/全表执行。 database-strategy: standard: sharding-column: user_id # 分库用到的键 precise-algorithm-class-name: com.zhengqing.demo.config.sharding.precise.MyDbPreciseShardingAlgorithm # 自定义分库算法实现类 table-strategy: standard: sharding-column: sex # 添加数据分表字段(根据字段插入数据到那个表 ex：sex) precise-algorithm-class-name: com.zhengqing.demo.config.sharding.precise.MyTablePreciseShardingAlgorithm # 自定义分表算法实现类
@Slf4j
public class MyDbPreciseShardingAlgorithm implements PreciseShardingAlgorithm<Long> {
/**
* 分片策略
*
* @param dbNameList 所有数据源
* @param shardingValue SQL执行时传入的分片值
* @return 数据源名称
*/
@Override
public String doSharding(Collection<String> dbNameList, PreciseShardingValue<Long> shardingValue) {
log.info("[MyDbPreciseShardingAlgorithm] SQL执行时传入的分片值: [{}]", shardingValue);
// 根据user_id取模拆分到不同的库中
Long userId = shardingValue.getValue();
for (String dbNameItem : dbNameList) {
if (dbNameItem.endsWith(String.valueOf(userId % 2))) {
return dbNameItem;
}
}
return null;
}
}@Slf4j
public class MyTablePreciseShardingAlgorithm implements PreciseShardingAlgorithm<Byte> {
/**
* 分片策略
*
* @param tableNameList 所有表名
* @param shardingValue SQL执行时传入的分片值
* @return 表名
*/
@Override
public String doSharding(Collection<String> tableNameList, PreciseShardingValue<Byte> shardingValue) {
log.info("[MyTablePreciseShardingAlgorithm] SQL执行时传入的分片值: [{}]", shardingValue);
// 根据用户性别取模拆分到不同的表中
Byte sex = shardingValue.getValue();
for (String tableNameItem : tableNameList) {
if (tableNameItem.endsWith(String.valueOf(sex % 2))) {
return tableNameItem;
}
}
return null;
}
}B: 范围分片算法
# 范围分片算法 => sql在分库/分表键上执行 BETWEEN AND、>、<、>=、<= 时触发计算逻辑，否则不走分库/分表，全库/全表执行。 database-strategy: standard: sharding-column: user_id precise-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyDbPreciseShardingAlgorithm range-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyDbRangeShardingAlgorithm table-strategy: standard: sharding-column: sex precise-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyTablePreciseShardingAlgorithm range-algorithm-class-name: com.zhengqing.demo.config.sharding.range.MyTableRangeShardingAlgorithm
@Slf4j
public class MyDbPreciseShardingAlgorithm implements PreciseShardingAlgorithm<Long> {
/**
* 分片策略
*
* @param dbNameList 所有数据源
* @param shardingValue SQL执行时传入的分片值
* @return 数据源名称
*/
@Override
public String doSharding(Collection<String> dbNameList, PreciseShardingValue<Long> shardingValue) {
log.info("[MyDbPreciseShardingAlgorithm] SQL执行时传入的分片值: [{}]", shardingValue);
// 根据user_id取模拆分到不同的库中
Long userId = shardingValue.getValue();
for (String dbNameItem : dbNameList) {
if (dbNameItem.endsWith(String.valueOf(userId % 2))) {
return dbNameItem;
}
}
return null;
}
}@Slf4j
public class MyDbRangeShardingAlgorithm implements RangeShardingAlgorithm<Long> {
@Override
public Collection<String> doSharding(Collection<String> dbNameList, RangeShardingValue<Long> shardingValue) {
log.info("[MyDbRangeShardingAlgorithm] shardingValue: [{}]", shardingValue);
List<String> result = Lists.newLinkedList();
int dbSize = dbNameList.size();
// 从sql 中获取 Between 1 and 1000 的值
// lower：1
// upper：1000
Range<Long> rangeValue = shardingValue.getValueRange();
Long lower = rangeValue.lowerEndpoint();
Long upper = rangeValue.upperEndpoint();
// 根据范围值取偶选择库
for (Long i = lower; i <= upper; i++) {
for (String dbNameItem : dbNameList) {
if (dbNameItem.endsWith(String.valueOf(i % 2))) {
result.add(dbNameItem);
}
if (result.size() >= dbSize) {
return result;
}
}
}
return result;
}
}@Slf4j
public class MyTablePreciseShardingAlgorithm implements PreciseShardingAlgorithm<Byte> {
/**
* 分片策略
*
* @param tableNameList 所有表名
* @param shardingValue SQL执行时传入的分片值
* @return 表名
*/
@Override
public String doSharding(Collection<String> tableNameList, PreciseShardingValue<Byte> shardingValue) {
log.info("[MyTablePreciseShardingAlgorithm] SQL执行时传入的分片值: [{}]", shardingValue);
// 根据用户性别取模拆分到不同的表中
Byte sex = shardingValue.getValue();
for (String tableNameItem : tableNameList) {
if (tableNameItem.endsWith(String.valueOf(sex % 2))) {
return tableNameItem;
}
}
return null;
}
}@Slf4j
public class MyTableRangeShardingAlgorithm implements RangeShardingAlgorithm<Byte> {
@Override
public Collection<String> doSharding(Collection<String> tableNameList, RangeShardingValue<Byte> shardingValue) {
log.info("[MyTableRangeShardingAlgorithm] shardingValue: [{}]", shardingValue);
Set<String> tableNameResultList = new LinkedHashSet<>();
Range<Byte> rangeValue = shardingValue.getValueRange();
Byte lower = rangeValue.lowerEndpoint();
Byte upper = rangeValue.upperEndpoint();
// between 0 and 1
// 根据性别值选择表
for (String tableNameItem : tableNameList) {
if (tableNameItem.endsWith(String.valueOf(lower))
|| tableNameItem.endsWith(String.valueOf(upper))) {
tableNameResultList.add(tableNameItem);
}
}
return tableNameResultList;
}
}3、复合分片策略
# =========== ↓↓↓↓↓↓ 复合分片策略 ↓↓↓↓↓↓ =========== # SQL 语句中有>，>=, <=，<，=，IN 和 BETWEEN AND 等操作符，不同的是复合分片策略支持对多个分片健操作。 database-strategy: complex: sharding-columns: user_id,sex algorithm-class-name: com.zhengqing.demo.config.sharding.complex.MyDbComplexKeysShardingAlgorithm table-strategy: complex: sharding-columns: user_id,sex algorithm-class-name: com.zhengqing.demo.config.sharding.complex.MyTableComplexKeysShardingAlgorithm
@Slf4j
public class MyDbComplexKeysShardingAlgorithm implements ComplexKeysShardingAlgorithm<String> {
@Override
public Collection<String> doSharding(Collection<String> dbNameList, ComplexKeysShardingValue<String> complexKeysShardingValue) {
log.info("[MyDbComplexKeysShardingAlgorithm] complexKeysShardingValue: [{}]", complexKeysShardingValue);
List<String> dbResultList = new ArrayList<>();
int dbSize = dbNameList.size();
// 得到每个分片健对应的值
// 用户id 范围查询
Range<String> rangeUserId = complexKeysShardingValue.getColumnNameAndRangeValuesMap().get("user_id");
// 性别
List<String> sexValueList = this.getShardingValue(complexKeysShardingValue, "sex");
// 对两个分片健进行逻辑操作，选择最终数据进哪一库？ TODO
for (String sex : sexValueList) {
String suffix = String.valueOf(Long.parseLong(sex) % 2);
for (String dbNameItem : dbNameList) {
if (dbNameItem.endsWith(suffix)) {
dbResultList.add(dbNameItem);
}
if (dbResultList.size() >= dbSize) {
return dbResultList;
}
}
}
return dbResultList;
}
private List<String> getShardingValue(ComplexKeysShardingValue<String> shardingValues, final String key) {
List<String> valueList = new ArrayList<>();
Map<String, Collection<String>> columnNameAndShardingValuesMap = shardingValues.getColumnNameAndShardingValuesMap();
if (columnNameAndShardingValuesMap.containsKey(key)) {
valueList.addAll(columnNameAndShardingValuesMap.get(key));
}
return valueList;
}
}@Slf4j
public class MyTableComplexKeysShardingAlgorithm implements ComplexKeysShardingAlgorithm<Long> {
@Override
public Collection<String> doSharding(Collection<String> tableNameList, ComplexKeysShardingValue<Long> complexKeysShardingValue) {
log.info("[MyTableComplexKeysShardingAlgorithm] complexKeysShardingValue: [{}]", complexKeysShardingValue);
Set<String> tableNameResultList = new LinkedHashSet<>();
int tableSize = tableNameList.size();
// 用户id 范围查询
Range<Long> rangeUserId = complexKeysShardingValue.getColumnNameAndRangeValuesMap().get("user_id");
Long lower = rangeUserId.lowerEndpoint();
Long upper = rangeUserId.upperEndpoint();
// 根据user_id选择表 TODO ...
for (String tableNameItem : tableNameList) {
if (tableNameItem.endsWith(String.valueOf(lower % 2))
|| tableNameItem.endsWith(String.valueOf(upper % 2))) {
tableNameResultList.add(tableNameItem);
}
if (tableNameResultList.size() >= tableSize) {
return tableNameResultList;
}
}
return tableNameResultList;
}
}4、Hint分片策略
#=========== ↓↓↓↓↓↓ hint分片策略 ↓↓↓↓↓↓ =========== # 通过 Hint API实现个性化配置 => 可查看 com.zhengqing.demo.service.impl.UserServiceImpl.listPageForHint database-strategy: hint: algorithm-class-name: com.zhengqing.demo.config.sharding.hint.MyDbHintShardingAlgorithm table-strategy: hint: algorithm-class-name: com.zhengqing.demo.config.sharding.hint.MyTableHintShardingAlgorithm
@Slf4j
public class MyDbHintShardingAlgorithm implements HintShardingAlgorithm<Integer> {
@Override
public Collection<String> doSharding(Collection<String> dbNameList, HintShardingValue<Integer> hintShardingValue) {
log.info("[MyDbHintShardingAlgorithm] hintShardingValue: [{}]", hintShardingValue);
Collection<String> dbResultList = new ArrayList<>();
int dbSize = dbNameList.size();
for (String dbNameItem : dbNameList) {
for (Integer shardingValue : hintShardingValue.getValues()) {
if (dbNameItem.endsWith(String.valueOf(shardingValue % 2))) {
dbResultList.add(dbNameItem);
}
if (dbResultList.size() >= dbSize) {
return dbResultList;
}
}
}
return dbResultList;
}
}@Slf4j
public class MyTableHintShardingAlgorithm implements HintShardingAlgorithm<Integer> {
@Override
public Collection<String> doSharding(Collection<String> tableNameList, HintShardingValue<Integer> hintShardingValue) {
log.info("[MyTableHintShardingAlgorithm] hintShardingValue: [{}]", hintShardingValue);
Collection<String> tableResultList = new ArrayList<>();
int tableSize = tableNameList.size();
Collection<Integer> hintShardingValueValueList = hintShardingValue.getValues();
for (String tableName : tableNameList) {
for (Integer shardingValue : hintShardingValueValueList) {
if (tableName.endsWith(String.valueOf(shardingValue % 2))) {
tableResultList.add(tableName);
}
if (tableResultList.size() >= tableSize) {
return tableResultList;
}
}
}
return tableResultList;
}
}使用时动态触发如下：
public IPage<User> listPageForHint() {
// 清除掉上一次的规则，否则会报错
HintManager.clear();
// HintManager API 工具类实例
HintManager hintManager = HintManager.getInstance();
// 库 => 主要是将value值传送到 MyDbHintShardingAlgorithm 中做逻辑分库处理
hintManager.addDatabaseShardingValue("t_user", 100);
hintManager.addDatabaseShardingValue("t_user", 1000);
// 指定表的分片健 => 指定查t_user0
hintManager.addTableShardingValue("t_user", 0);
// hintManager.addTableShardingValue("t_user", 1);
// 读写分离强制读主库，避免造成主从复制导致的延迟
hintManager.setMasterRouteOnly();
// 查询数据
Page<User> result = this.userMapper.selectPage(new Page<>(1, 10),
new LambdaQueryWrapper<User>()
.eq(User::getSex, "0")
.between(User::getUserId, 1L, 1000L)
);
// 清除规则
hintManager.close();
return result;
}感谢各位的阅读，以上就是“SpringBoot整合sharding-jdbc实现自定义分库分表的方法是什么”的内容了，经过本文的学习后，相信大家对SpringBoot整合sharding-jdbc实现自定义分库分表的方法是什么这一问题有了更深刻的体会，具体使用情况还需要大家实践验证。这里是亿速云，小编将为大家推送更多相关知识点的文章，欢迎关注！
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