spring.shardingsphere.datasource.names=swallow-bird0,swallow-bird1
spring.shardingsphere.datasource.swallow-bird0.type=com.zaxxer.hikari.hikaridatasource
spring.shardingsphere.datasource.swallow-bird0.driver-class-name=com.mysql.jdbc.driver
spring.shardingsphere.datasource.swallow-bird0.jdbc-url=jdbc:mysql://*******:3306/swallow_bird0?useunicode=true&characterencoding=utf-8
spring.shardingsphere.datasource.swallow-bird0.username=root
spring.shardingsphere.datasource.swallow-bird0.password=ab...?967426
spring.shardingsphere.datasource.swallow-bird0.maxactive=10
spring.shardingsphere.datasource.swallow-bird0.minimum-idle=5
spring.shardingsphere.datasource.swallow-bird0.maximum-pool-size=15
spring.shardingsphere.datasource.swallow-bird0.auto-commit=true
spring.shardingsphere.datasource.swallow-bird0.idle-timeout=30000
spring.shardingsphere.datasource.swallow-bird0.pool-name=hikaricp
spring.shardingsphere.datasource.swallow-bird0.max-lifetime=1800000
spring.shardingsphere.datasource.swallow-bird0.connection-timeout=30000
spring.shardingsphere.datasource.swallow-bird0.connection-test-query=select 1
spring.shardingsphere.datasource.swallow-bird1.type=com.zaxxer.hikari.hikaridatasource
spring.shardingsphere.datasource.swallow-bird1.driver-class-name=com.mysql.jdbc.driver
spring.shardingsphere.datasource.swallow-bird1.jdbc-url=jdbc:mysql://*******:3306/swallow_bird1?useunicode=true&characterencoding=utf-8
spring.shardingsphere.datasource.swallow-bird1.username=root
spring.shardingsphere.datasource.swallow-bird1.password=ab...?967426
spring.shardingsphere.datasource.swallow-bird1.maxactive=20
spring.shardingsphere.datasource.swallow-bird1.minimum-idle=5
spring.shardingsphere.datasource.swallow-bird1.maximum-pool-size=15
spring.shardingsphere.datasource.swallow-bird1.auto-commit=true
spring.shardingsphere.datasource.swallow-bird1.idle-timeout=30000
spring.shardingsphere.datasource.swallow-bird1.pool-name=hikaricp
spring.shardingsphere.datasource.swallow-bird1.max-lifetime=1800000
spring.shardingsphere.datasource.swallow-bird1.connection-timeout=30000
spring.shardingsphere.datasource.swallow-bird01.connection-test-query=select 1
#客戶表分表
spring.shardingsphere.sharding.tables.customer.actual-data-nodes=swallow-bird$->.customer_$->
spring.shardingsphere.sharding.tables.customer.database-strategy.standard.sharding-column=customer_id
spring.shardingsphere.sharding.tables.customer.database-strategy.standard.precise-algorithm-class-name=com.swallowbirds.sass.businesssystem.config.sharding.customsublibrary
spring.shardingsphere.sharding.tables.customer.table-strategy.standard.sharding-column=customer_id
spring.shardingsphere.sharding.tables.customer.table-strategy.standard.precise-algorithm-class-name=com.swallowbirds.sass.businesssystem.config.sharding.customsublibrartb
#好友分表
spring.shardingsphere.sharding.tables.friend.actual-data-nodes=swallow-bird$->.friend_$->
spring.shardingsphere.sharding.tables.friend.database-strategy.standard.sharding-column=customer_id
spring.shardingsphere.sharding.tables.friend.database-strategy.standard.precise-algorithm-class-name=com.swallowbirds.sass.businesssystem.config.sharding.customsublibrary
spring.shardingsphere.sharding.tables.friend.table-strategy.standard.sharding-column=customer_id
spring.shardingsphere.sharding.tables.friend.table-strategy.standard.precise-algorithm-class-name=com.swallowbirds.sass.businesssystem.config.sharding.customsublibrartb
在策略方式中建議大家使用列舉，並且定義每個分表分庫的版本。這樣的設計，是當你的表資料達到一定量的時候，可以選擇提公升版本，來把資料優化儲存。具體的**博主實現是
public enum dbandtableenum
public string gettablename()
public string getshardingkey()
public string getbiztype()
public string getidversion()
public string getcharsprefix()
public int getnumberstartindex()
public int getdbindexbegin()
public int gettbindexbegin()
public int getdbcount()
public int gettbcount()
public string getdesc()
}
io.shardingsphere
sharding-transaction-spring-boot-starter
4.0.0-rc1
該元件使用，麻煩一點點就是，自己去設計分庫分別策略，與配置分庫分別的資料來源。希望給大家能帶來幫助
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