# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ###################################################################################################### # # 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