ule子流仅处理csv文件中的1条记录

Question

我有一个ule子流，它是文件->选择->数据映射器->记录器

FILE端点处理具有40条记录的csv文件

在预览中运行时，DATAMAPPER将csv转换为JSON，并以JSON格式显示所有40条记录

LOGGER显示有效负载为字节而不是JSON，当我将JSON转换为对象时，它以JSON格式显示有效负载，但只有1条记录。

我的查询：1.如何设置工作流程以处理所有40条记录，并将所有记录转换为JSON并从流中输出所有记录？

2. 因为datamapper输出是JSON，所以输出是一个字节是否正确，所以我期望在调试模式下查看时，有效负载中会看到JSON格式的所有记录？

Answer 1

你可以做这样的事情。

<flow name="csv-to-jsonFlow">
        <file:inbound-endpoint path="/src/main/resources/csv" connector-ref="File" responseTimeout="10000" doc:name="File">
            <file:filename-regex-filter pattern=".*csv" caseSensitive="true"/>
        </file:inbound-endpoint>
        <dw:transform-message doc:name="Transform Message">
            <dw:set-payload><![CDATA[%dw 1.0
%output application/json
---
payload]]></dw:set-payload>
        </dw:transform-message>
        <object-to-string-transformer doc:name="Object to String"/>
        <logger message="#[payload]" level="INFO" doc:name="Logger"/>
    </flow>

样本CSV文件：

name,age,gender
janos,29,male
juan,40,male
pedro,22,male
carla,34,female
jose,30,male
anne,25,female
rey,33,male
joyce,27,female
pia,20,female
ard,27,male
janos,29,male
juan,40,male
pedro,22,male
carla,34,female
jose,30,male
anne,25,female
rey,33,male
joyce,27,female
pia,20,female
ard,27,male
janos,29,male
juan,40,male
pedro,22,male
carla,34,female
jose,30,male
anne,25,female
rey,33,male
joyce,27,female
pia,20,female
ard,27,male
janos,29,male
juan,40,male
pedro,22,male
carla,34,female
jose,30,male
anne,25,female
rey,33,male
joyce,27,female
pia,20,female
ard,27,male

样本输出：

[
  {
    "name": "janos",
    "age": "29",
    "gender": "male"
  },
  {
    "name": "juan",
    "age": "40",
    "gender": "male"
  },
  {
    "name": "pedro",
    "age": "22",
    "gender": "male"
  },
  {
    "name": "carla",
    "age": "34",
    "gender": "female"
  },
  {
    "name": "jose",
    "age": "30",
    "gender": "male"
  },
  {
    "name": "anne",
    "age": "25",
    "gender": "female"
  },
  {
    "name": "rey",
    "age": "33",
    "gender": "male"
  },
  {
    "name": "joyce",
    "age": "27",
    "gender": "female"
  },
  {
    "name": "pia",
    "age": "20",
    "gender": "female"
  },
  {
    "name": "ard",
    "age": "27",
    "gender": "male"
  },
  {
    "name": "janos",
    "age": "29",
    "gender": "male"
  },
  {
    "name": "juan",
    "age": "40",
    "gender": "male"
  },
  {
    "name": "pedro",
    "age": "22",
    "gender": "male"
  },
  {
    "name": "carla",
    "age": "34",
    "gender": "female"
  },
  {
    "name": "jose",
    "age": "30",
    "gender": "male"
  },
  {
    "name": "anne",
    "age": "25",
    "gender": "female"
  },
  {
    "name": "rey",
    "age": "33",
    "gender": "male"
  },
  {
    "name": "joyce",
    "age": "27",
    "gender": "female"
  },
  {
    "name": "pia",
    "age": "20",
    "gender": "female"
  },
  {
    "name": "ard",
    "age": "27",
    "gender": "male"
  },
  {
    "name": "janos",
    "age": "29",
    "gender": "male"
  },
  {
    "name": "juan",
    "age": "40",
    "gender": "male"
  },
  {
    "name": "pedro",
    "age": "22",
    "gender": "male"
  },
  {
    "name": "carla",
    "age": "34",
    "gender": "female"
  },
  {
    "name": "jose",
    "age": "30",
    "gender": "male"
  },
  {
    "name": "anne",
    "age": "25",
    "gender": "female"
  },
  {
    "name": "rey",
    "age": "33",
    "gender": "male"
  },
  {
    "name": "joyce",
    "age": "27",
    "gender": "female"
  },
  {
    "name": "pia",
    "age": "20",
    "gender": "female"
  },
  {
    "name": "ard",
    "age": "27",
    "gender": "male"
  },
  {
    "name": "janos",
    "age": "29",
    "gender": "male"
  },
  {
    "name": "juan",
    "age": "40",
    "gender": "male"
  },
  {
    "name": "pedro",
    "age": "22",
    "gender": "male"
  },
  {
    "name": "carla",
    "age": "34",
    "gender": "female"
  },
  {
    "name": "jose",
    "age": "30",
    "gender": "male"
  },
  {
    "name": "anne",
    "age": "25",
    "gender": "female"
  },
  {
    "name": "rey",
    "age": "33",
    "gender": "male"
  },
  {
    "name": "joyce",
    "age": "27",
    "gender": "female"
  },
  {
    "name": "pia",
    "age": "20",
    "gender": "female"
  },
  {
    "name": "ard",
    "age": "27",
    "gender": "male"
  }
]

希望这可以帮助。