ShardingSphere-proxy-5.0.0容量范围分片的实现(五)

一、修改配置文件config-sharding.yaml，并重启服务

#
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(the "License"); you may not use this file except in compliance with
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#
    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_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:
 - !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

二、数据准备

-- 创建表
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for t_product
-- ----------------------------
DROP TABLE IF EXISTS t_product;
CREATE TABLE t_product  (
  id varchar(225) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL,
  product_id int(11) NOT NULL,
  product_name varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL,
  PRIMARY KEY (id, product_id) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

SET FOREIGN_KEY_CHECKS = 1;

-- 插入表数据
INSERT INTO t_product(product_id,product_name) VALUES(1,'one');
INSERT INTO t_product(product_id,product_name) VALUES(2,'two');
INSERT INTO t_product(product_id,product_name) VALUES(3,'three');
INSERT INTO t_product(product_id,product_name) VALUES(4,'four');
INSERT INTO t_product(product_id,product_name) VALUES(5,'five');
INSERT INTO t_product(product_id,product_name) VALUES(6,'six');
INSERT INTO t_product(product_id,product_name) VALUES(7,'seven');

三、查看数据

1、查看shardingsphere中间件t_product表数据

2、查看t_product_0、t_product_1表数据，同时对数据进行了分表存储(因为配置文件中有做分表和雪花id生成配置)

Original: https://www.cnblogs.com/sportsky/p/16407097.html
Author: SportSky
Title: ShardingSphere-proxy-5.0.0容量范围分片的实现(五)