ShardingSphere-proxy-5.0.0分布式雪花ID生成(三)

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羽尘
羽尘 2022-06-20 01:00:45
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ShardingSphere-proxy-5.0.0分布式雪花ID生成(三)

一、目的

保证在分库分表中每条数据具有唯一性

二、修改配置文件config-sharding.yaml,并重启服务

## 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_${order_id % 2}#  #  keyGenerators:#    snowflake:#      type: SNOWFLAKE#      props:#        worker-id: 123######################################################################################################## If you want to connect to MySQL, you should manually copy MySQL driver to lib directory.######################################################################################################## 连接mysql所使用的数据库名 schemaName: MyDb dataSources:  ds_0:    url: jdbc:mysql://127.0.0.1:3306/MyDb?serverTimezone=UTC&useSSL=false    username: root # 数据库用户名    password: mysql123  # 登录密码    connectionTimeoutMilliseconds: 30000    idleTimeoutMilliseconds: 60000    maxLifetimeMilliseconds: 1800000    maxPoolSize: 50    minPoolSize: 1#  ds_1:#    url: jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false#    username: root#    password:#    connectionTimeoutMilliseconds: 30000#    idleTimeoutMilliseconds: 60000#    maxLifetimeMilliseconds: 1800000#    maxPoolSize: 50#    minPoolSize: 1## 规则 rules: - !SHARDING   tables:     t_product: #需要进行分表的表名       actualDataNodes: ds_0.t_product_${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_MOD       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_MOD: # 取模名称,可自定义       type: MOD # 取模算法       props:         sharding-count: 2 # 分片数量,因为分了2个表,所以这里是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: # 雪花算法名称,自定义名称       type: SNOWFLAKE       props:         worker-id: 123

 

 三、数据准备

-- 创建表SET NAMES utf8mb4;SET FOREIGN_KEY_CHECKS = 0;-- ------------------------------ Table structure for t_product_0-- ----------------------------DROP TABLE IF EXISTS `t_product`;CREATE TABLE `t_product_0`  (  `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,'apple');INSERT INTO t_product(product_id,product_name) VALUES(2,'banana');

四、查看数据

1、查看shardingsphere中间件t_product表数据,其中id字段会自动生成唯一id

 

 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配置)

 

 

 

posted @ 2022-06-20 00:26 SportSky 阅读(0) 评论(0) 编辑 收藏 举报
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