关于中间件:ShardingSphere-4x-SHARDINGSCALINGALPHA-快速入门

疾速开始

部署启动

1. 执行以下命令，编译生成 sharding-scaling 二进制包：

git clone https://github.com/apache/shardingsphere.git；cd shardingsphere;
mvn clean install -Prelease;

公布包所在目录为：/sharding-distribution/sharding-scaling-distribution/target/apache-shardingsphere-${latest.release.version}-sharding-scaling-bin.tar.gz。

2. 解压缩公布包，批改配置文件conf/server.yaml，这里次要批改启动端口，保障不与本机其余端口抵触，其余值放弃默认即可：

port: 8888
blockQueueSize: 10000
pushTimeout: 1000
workerThread: 30

3. 启动 sharding-scaling：

sh bin/start.sh

留神 ：
如果后端连贯 MySQL 数据库，须要下载 MySQL Connector/J，
解压缩后，将 mysql-connector-java-5.1.47.jar 拷贝到 ${sharding-scaling}lib 目录。

4. 查看日志logs/stdout.log，确保启动胜利。

创立迁徙工作

Sharding-Scaling 提供相应的 HTTP 接口来治理迁徙工作，部署启动胜利后，咱们能够调用相应的接口来启动迁徙工作。

创立迁徙工作：

curl -X POST \
  http://localhost:8888/shardingscaling/job/start \
  -H 'content-type: application/json' \
  -d '{"ruleConfiguration": {"sourceDatasource":"ds_0: !!org.apache.shardingsphere.orchestration.core.configuration.YamlDataSourceConfiguration\n  dataSourceClassName: com.zaxxer.hikari.HikariDataSource\n  properties:\n    jdbcUrl: jdbc:mysql://127.0.0.1:3306/test?serverTimezone=UTC&useSSL=false\n    username: root\n    password: '\''123456'\''\n    connectionTimeout: 30000\n    idleTimeout: 60000\n    maxLifetime: 1800000\n    maxPoolSize: 50\n    minPoolSize: 1\n    maintenanceIntervalMilliseconds: 30000\n    readOnly: false\n","sourceRule":"defaultDatabaseStrategy:\n  inline:\n    algorithmExpression: ds_${user_id % 2}\n    shardingColumn: user_id\ntables:\n  t1:\n    actualDataNodes: ds_0.t1\n    keyGenerator:\n      column: order_id\n      type: SNOWFLAKE\n    logicTable: t1\n    tableStrategy:\n      inline:\n        algorithmExpression: t1\n        shardingColumn: order_id\n  t2:\n    actualDataNodes: ds_0.t2\n    keyGenerator:\n      column: order_item_id\n      type: SNOWFLAKE\n    logicTable: t2\n    tableStrategy:\n      inline:\n        algorithmExpression: t2\n        shardingColumn: order_id\n","destinationDataSources": {"name":"dt_0","password":"123456","url":"jdbc:mysql://127.0.0.1:3306/test2?serverTimezone=UTC&useSSL=false","username":"root"}
   },
   "jobConfiguration": {"concurrency": 3}
}'

留神：上述须要批改 ruleConfiguration.sourceDatasource 和ruleConfiguration.sourceRule，别离为源端 ShardingSphere 数据源和数据表规定相干配置；

以及 ruleConfiguration.destinationDataSources 中指标端 sharding-proxy 的相干信息。

返回如下信息，示意工作创立胜利：

{
   "success": true,
   "errorCode": 0,
   "errorMsg": null,
   "model": null
}

须要留神的是，目前 Sharding-Scaling 工作创立胜利后，便会主动运行，进行数据的迁徙。

查问工作进度

执行如下命令获取以后所有迁徙工作：

curl -X GET \
  http://localhost:8888/shardingscaling/job/list

返回示例如下：

{
  "success": true,
  "errorCode": 0,
  "model": [
    {
      "jobId": 1,
      "jobName": "Local Sharding Scaling Job",
      "status": "RUNNING"
    }
  ]
}

进一步查问工作具体迁徙状态：

curl -X GET \
  http://localhost:8888/shardingscaling/job/progress/1

返回工作详细信息如下：

{
   "success": true,
   "errorCode": 0,
   "errorMsg": null,
   "model": {
        "id": 1,
        "jobName": "Local Sharding Scaling Job",
        "status": "RUNNING"
        "syncTaskProgress": [{
            "id": "127.0.0.1-3306-test",
            "status": "SYNCHRONIZE_REALTIME_DATA",
            "historySyncTaskProgress": [{
                "id": "history-test-t1#0",
                "estimatedRows": 41147,
                "syncedRows": 41147
            }, {
                "id": "history-test-t1#1",
                "estimatedRows": 42917,
                "syncedRows": 42917
            }, {
                "id": "history-test-t1#2",
                "estimatedRows": 43543,
                "syncedRows": 43543
            }, {
                "id": "history-test-t2#0",
                "estimatedRows": 39679,
                "syncedRows": 39679
            }, {
                "id": "history-test-t2#1",
                "estimatedRows": 41483,
                "syncedRows": 41483
            }, {
                "id": "history-test-t2#2",
                "estimatedRows": 42107,
                "syncedRows": 42107
            }],
            "realTimeSyncTaskProgress": {
                "id": "realtime-test",
                "delayMillisecond": 1576563771372,
                "logPosition": {
                    "filename": "ON.000007",
                    "position": 177532875,
                    "serverId": 0
                }
            }
        }]
   }
}

结束任务

数据迁徙实现后，咱们能够调用接口结束任务：

curl -X POST \
  http://localhost:8888/shardingscaling/job/stop \
  -H 'content-type: application/json' \
  -d '{"jobId":1}'

返回如下信息示意工作胜利完结：

{
   "success": true,
   "errorCode": 0,
   "errorMsg": null,
   "model": null
}

完结 Sharding-Scaling

sh bin/stop.sh