ShardingSphereproxy5.0.0建立mysql读写分离之读库负载均衡算法配置(七)

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#     http://www.apache.org/licenses/LICENSE-2.0
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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#

######################################################################################################
# 
# Here you can configure the rules for the proxy.
# This example is configuration of sharding rule.
# 
######################################################################################################
#
#schemaName: sharding_db
#
#dataSources:
#  ds_0:
#    url: jdbc:postgresql://127.0.0.1:5432/demo_ds_0
#    username: postgres
#    password: postgres
#    connectionTimeoutMilliseconds: 30000
#    idleTimeoutMilliseconds: 60000
#    maxLifetimeMilliseconds: 1800000
#    maxPoolSize: 50
#    minPoolSize: 1
#  ds_1:
#    url: jdbc:postgresql://127.0.0.1:5432/demo_ds_1
#    username: postgres
#    password: postgres
#    connectionTimeoutMilliseconds: 30000
#    idleTimeoutMilliseconds: 60000
#    maxLifetimeMilliseconds: 1800000
#    maxPoolSize: 50
#    minPoolSize: 1
#
#rules:
#- !SHARDING
#  tables:
#    t_order:
#      actualDataNodes: ds_${0..1}.t_order_${0..1}
#      tableStrategy:
#        standard:
#          shardingColumn: order_id
#          shardingAlgorithmName: t_order_inline
#      keyGenerateStrategy:
#          column: order_id
#          keyGeneratorName: snowflake
#    t_order_item:
#      actualDataNodes: ds_${0..1}.t_order_item_${0..1}
#      tableStrategy:
#        standard:
#          shardingColumn: order_id
#          shardingAlgorithmName: t_order_item_inline
#      keyGenerateStrategy:
#        column: order_item_id
#        keyGeneratorName: snowflake
#  bindingTables:
#    - t_order,t_order_item
#  defaultDatabaseStrategy:
#    standard:
#      shardingColumn: user_id
#      shardingAlgorithmName: database_inline
#  defaultTableStrategy:
#    none:
#  
#  shardingAlgorithms:
#    database_inline:
#      type: INLINE
#      props:
#        algorithm-expression: ds_${user_id % 2}
#    t_order_inline:
#      type: INLINE
#      props:
#        algorithm-expression: t_order_${order_id % 2}
#    t_order_item_inline:
#      type: INLINE
#      props:
#        algorithm-expression: t_order_item_${order_id % 2}
#  
#  keyGenerators:
#    snowflake:
#      type: SNOWFLAKE
#      props:
#        worker-id: 123

######################################################################################################
#
# If you want to connect to MySQL, you should manually copy MySQL driver to lib directory.
#
######################################################################################################

# 连接mysql所使用的数据库名
 schemaName: MyDb

 dataSources:
  ds_0:
    url: jdbc:mysql://127.0.0.1:3306/MyDb?serverTimezone=UTC&useSSL=false
    username: root # 数据库用户名
    password: mysql123  # 登录密码
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 50
    minPoolSize: 1
  ds_0_read0:
    url: jdbc:mysql://192.168.140.132:3306/MyDb?serverTimezone=UTC&useSSL=false
    username: root # 数据库用户名
    password: Xiaohemiao_123  # 登录密码
    connectionTimeoutMilliseconds: 30000
    idleTimeoutMilliseconds: 60000
    maxLifetimeMilliseconds: 1800000
    maxPoolSize: 50
    minPoolSize: 1
    
#  ds_1:
#    url: jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false
#    username: root
#    password:
#    connectionTimeoutMilliseconds: 30000
#    idleTimeoutMilliseconds: 60000
#    maxLifetimeMilliseconds: 1800000
#    maxPoolSize: 50
#    minPoolSize: 1
#
# 规则
 rules:
 - !READWRITE_SPLITTING
   dataSources:
     pr_ds:
       writeDataSourceName: ds_0 #主库
       readDataSourceNames:
         - ds_0_read0 # 从库，如果有多个从库，就在下面写多个
       loadBalancerName: loadBalancer_ROUND_ROBIN
   loadBalancers: # 负载均衡算法配置
     loadBalancer_ROUND_ROBIN: # 负载均衡算法名称，自定义
       type: ROUND_ROBIN   # 负载均衡算法，默认为轮询算法，还有加权算法和随机算法，可参考官网  
 - !SHARDING
   tables:
     t_product: #需要进行分表的表名
       actualDataNodes: ds_0.t_product_${0..1} # 表达式，将表分为t_product_0 , t_product_1
       tableStrategy:
        standard:
           shardingColumn: product_id # 字段名
           shardingAlgorithmName: t_product_VOLUME_RANGE
       keyGenerateStrategy:
         column: id
         keyGeneratorName: snowflake #雪花算法
#    t_order_item:
#      actualDataNodes: ds_${0..1}.t_order_item_${0..1}
#      tableStrategy:
#        standard:
#          shardingColumn: order_id
#          shardingAlgorithmName: t_order_item_inline
#      keyGenerateStrategy:
#        column: order_item_id
#        keyGeneratorName: snowflake
#  bindingTables:
#    - t_order,t_order_item
#  defaultDatabaseStrategy:
#    standard:
#      shardingColumn: user_id
#      shardingAlgorithmName: database_inline
#  defaultTableStrategy:
#    none:
#  
   shardingAlgorithms:
     t_product_VOLUME_RANGE: # 取模名称，可自定义
       type: VOLUME_RANGE # 取模算法
       props:
         range-lower: '5' # 最小容量为5条数据，仅方便测试
         range-upper: '10' #最大容量为10条数据，仅方便测试
         sharding-volume: '5' #分片的区间的数据的间隔
#    t_order_inline:
#      type: INLINE
#      props:
#        algorithm-expression: t_order_${order_id % 2}
#    t_order_item_inline:
#      type: INLINE
#      props:
#        algorithm-expression: t_order_item_${order_id % 2}
#  
   keyGenerators:
     snowflake: # 雪花算法名称，自定义名称
       type: SNOWFLAKE
       props:
         worker-id: 123