DataArts Studio 通过Rest Client 接口读取RESTful接口数据的能力，通过Hive-SQL存储

本文指导从RESTful地址中读取数据并同步到MRS-Hive表中，大致方案，DataArtStudio 管理配置采集任务，通过CDM服务进行代理下发和第三方API服务器进行对接，响应消息通过节点间参数传递给MSR-Hive-SQL解析入库，

集成流程如下:

方案开发流程如下：

步骤1：DataArtsStudio 创建Rest Client任务

数据开发模块，创建Rest Client节点，输入GET/POST参数，包括认证方式，头域、请求参数/消息体

其中请求消息体中json可以使用EL表达式，比如携带时间过滤参数

JSON Body体

{
    "startTime":"#{DateUtil.format(DateUtil.addDays(Job.planTime,-1),"yyyy-MM-dd")}",
    "endTime":"#{DateUtil.format(DateUtil.now(),"yyyy-MM-dd")}"
}

系统转换后参数如下：

{
	"startTime":"2023-07-11", 
    "endTime":"2023-07-12"
}

EL表达式的详细参考如下：

https://support.huaweicloud.com/usermanual-dataartsstudio/dataartsstudio_01_0494.html

响应消息的JSON中返回的消息如下数组格式：

Response body: 
{"data":
 [
     {
         "id":99467,
         "proportionProjectId":"0405",
         "proportionProjectName":"外勤津贴",
         "proportionAfterTax":40800,
         "proportionDepartmentId":289,
         "proportionDepartmentName":"总所税务部",
         "voucherStatusTime":1600758794000,
         "billsNumber":"2020092299467"
     },
     {
         "id":102000,
         "proportionProjectId":"040102",
         "proportionProjectName":"040102 _ 职能部门员工年薪",
         "proportionAfterTax":20000,
         "proportionDepartmentId":296,
         "proportionDepartmentName":"总所创客部",
         "voucherStatusTime":1606209149000,
         "billsNumber":"2020112402000"
     }
 ]
}

步骤2：MSR-Hive创建表

CREATE TABLE IF NOT EXISTS mrs_hive_rest
(
  `billsNumber`  STRING
  ,`proportionDepartmentId` BIGINT
  ,`voucherStatusTime` BIGINT
  ,`proportionProjectId` STRING
  ,`proportionAfterTax` BIGINT
  ,`id` BIGINT
  ,`proportionProjectName` BIGINT
  ,`proportionDepartmentName` STRING
);

步骤3：DataArtsStudio 创建hive-sql脚本用于存储POST接口的响应消息

数据开发模块创建hive-sql脚本，例如：

-- HIVE sql 
-- ******************************************************************** --
-- author: zhanghaoqi
-- create time: 2023/07/12 15:50:41 GMT+08:00
-- ******************************************************************** --
SELECT * FROM mrs_hive_rest;
INSERT INTO mrs_hive_rest SELECT json_tuple(json, 'billsNumber', 'proportionDepartmentId', 'voucherStatusTime', 'proportionProjectId', 'proportionAfterTax', 'id', 'proportionProjectName', 'proportionDepartmentName') FROM (
SELECT explode(split(regexp_replace(regexp_replace('${jsonStr}', '\\[|\\]',''),'\\}\\,\\{','\\}\\;\\{'),'\\;'))
as json) t;
SELECT * FROM mrs_hive_rest;

SQL脚本关键点说明，在脚本中${jsonStr}作为响应的消息的JSON字符串进行解析（在步骤4中定义改参数内容）

由于响应消息是JSON数组，使用了内置的json和字符串方法进行解析。

步骤4：DataArtsStudio 创建hive-sql节点执行脚本

创建hive-sql节点，执行步骤3脚本

参数关键点：脚本参数会自动提取SQL脚本中引用的参数，此处需要配置参数的内容，参数使用EL表达式获取前一个Rest_Client节点的返回值 #{JSONUtil.toString(JSONUtil.path(Job.getNodeOutput("Rest_Client_1729"),"data"))} 其中Rest_Client_1729为前一个节点的任务名，data为前一个节点的数据路径。

步骤5：配置完成后执行测试运行验证脚本

配置完成后，测试运行脚本，通过查看日志确认内容是否符合预期，SQL入库是否成功。

[2023/07/12 20:13:24 GMT+0800] [INFO] Connect to server successfully
[2023/07/12 20:13:24 GMT+0800] [INFO] Executing SQL:SELECT * FROM mrs_hive_rest;
[2023/07/12 20:13:24 GMT+0800] [INFO] Execute SQL successfully
[2023/07/12 20:13:24 GMT+0800] [INFO] Reading SQL execution result
[2023/07/12 20:13:24 GMT+0800] [INFO] The first 0 rows:
[2023/07/12 20:13:24 GMT+0800] [INFO] Read SQL execution result successfully
[2023/07/12 20:13:24 GMT+0800] [INFO]
[2023/07/12 20:13:24 GMT+0800] [INFO] Executing SQL:INSERT INTO mrs_hive_rest SELECT json_tuple(json, ‘billsNumber’, ‘proportionDepartmentId’, ‘voucherStatusTime’, ‘proportionProjectId’, ‘proportionAfterTax’, ‘id’, ‘proportionProjectName’, ‘proportionDepartmentName’) FROM (
SELECT explode(split(regexp_replace(regexp_replace(’[{“billsNumber”:“2020092299467”,“proportionDepartmentId”:289,“voucherStatusTime”:1600758794000,“proportionProjectId”:“0405”,“proportionAfterTax”:40800,“id”:99467,“proportionProjectName”:“外勤津贴”,“proportionDepartmentName”:“总所税务部”},{“billsNumber”:“2020112402000”,“proportionDepartmentId”:296,“voucherStatusTime”:1606209149000,“proportionProjectId”:“040102”,“proportionAfterTax”:20000,“id”:102000,“proportionProjectName”:“040102 _ 职能部门员工年薪”,“proportionDepartmentName”:“总所创客部”}]’, ‘\[|\]’,’’),’\}\,\{’,’\}\;\{’),’\;’))
as json) t;
[2023/07/12 20:13:38 GMT+0800] [INFO] Execute SQL successfully
[2023/07/12 20:13:38 GMT+0800] [INFO] Reading SQL execution result
[2023/07/12 20:13:38 GMT+0800] [INFO] Read SQL execution result successfully
[2023/07/12 20:13:38 GMT+0800] [INFO]
[2023/07/12 20:13:38 GMT+0800] [INFO] Executing SQL:SELECT * FROM mrs_hive_rest;
[2023/07/12 20:13:38 GMT+0800] [INFO] Execute SQL successfully
[2023/07/12 20:13:38 GMT+0800] [INFO] Reading SQL execution result
[2023/07/12 20:13:38 GMT+0800] [INFO] The first 2 rows:
2020092299467,289,1600758794000,0405,40800,99467,null,总所税务部
2020112402000,296,1606209149000,040102,20000,102000,null,总所创客部
[2023/07/12 20:13:38 GMT+0800] [INFO] Read SQL execution result successfully
[2023/07/12 20:13:38 GMT+0800] [INFO]

确认脚本执行成功，入库成功。