数据映射器调用后,Mule丢失有效负载

时间:2016-05-25 14:03:15

标签: csv mule datamapper

我正在使用Mule 3.6.1并且有一个流程读取CSV文件然后拆分文件并将每个记录传递给datamapper。我可以看到记录存在于数据映射器之前但是一旦消息离开数据映射器,则有效负载为空。

我该如何解决这个问题?请注意,Choice将在完成的流程中选择3个可能的数据处理器。

流程是:

DeptID,Dept,Staff
5LL/A,Human Resources,4.00

和CSV输入文件:

<?xml version="1.0" encoding="UTF-8"?><Graph __version="3.5.0" author="" created="Wed May 25 14:20:34 BST 2016" description="CSV To JSON" guiVersion="3.4.4.P" id="1464184235950" licenseCode="Unlicensed" licenseType="Unknown" modified="Wed May 25 14:20:34 BST 2016" modifiedBy="" name="CSV_To_JSON" preview-file="C:/test.csv" revision="1.0" showComponentDetails="false">
<Global>
<Metadata __referenceCounter="1" _dataStructure="SINGLE_DIMENSIONAL_COLLECTION" _type="Input" id="f79c6373-b266-4a78-91c9-3a731304eef1">
<Record fieldDelimiter="," name="test" recordDelimiter="\n\\|\r\n\\|\r" type="delimited">
<Field containerType="SINGLE" label="DeptID" name="DeptID" size="10" type="string"/>
<Field containerType="SINGLE" label="Dept" name="Dept" size="10" type="string"/>
<Field containerType="SINGLE" eofAsDelimiter="true" label="Staff" name="Staff" size="10" type="string"/>
<Field __artificialType="_id" auto_filling="global_row_count" name="__id" type="long"/>
</Record>
</Metadata>
<Metadata __index="0" __referenceCounter="1" __sourcePath="{}/test" _dataStructure="SINGLE_DIMENSIONAL_COLLECTION" _id="__id" _type="Output" id="4b092da3-e786-4f90-8e22-d9d5e8d7a7b1">
<Record fieldDelimiter="," name="test" recordDelimiter="\n\\|\r\n\\|\r" type="delimited">
<Field __artificialType="_id" __systemManaged="true" name="__id" type="string"/>
<Field __index="1" __sourcePath="{}/test/Dept" containerType="SINGLE" label="Dept" name="Dept" type="string"/>
<Field __index="0" __sourcePath="{}/test/DeptID" containerType="SINGLE" label="DeptID" name="DeptID" type="string"/>
<Field __index="2" __sourcePath="{}/test/Staff" containerType="SINGLE" label="Staff" name="Staff" type="string"/>
</Record>
</Metadata>
<Dictionary>
<Entry id="DictionaryEntry0" input="true" name="inputPayload" output="false" type="object"/>
<Entry id="DictionaryEntry1" input="false" name="outputPayload" output="true" type="object"/>
</Dictionary>
</Global>
<Phase number="0">
<Node charset="UTF-8" enabled="enabled" fileURL="dict:inputPayload" guiName="CSV READER" guiX="20" guiY="20" id="DATA_READER0" quoteCharacter="both" quotedStrings="true" skipRows="1" trim="true" type="DATA_READER">
<attr name="_data_format"><![CDATA[CSV]]></attr>
<attr name="__dataSourceDefinition"><![CDATA[C:/test.csv]]></attr>
</Node>
<Node enabled="enabled" guiName="Foreach 'test' -&gt; 'test'" guiX="460" guiY="20" id="FOREACH_TEST_TEST" transformClass="com.mulesoft.datamapper.transform.MelRecordTransform" type="REFORMAT">
<attr name="melScript"><![CDATA[//MEL
//START -> DO NOT REMOVE
output.__id = num2str(input.__id);
//END -> DO NOT REMOVE
output.DeptID = input.DeptID;
output.Dept = input.Dept;
output.Staff = input.Staff;
]]></attr>
</Node>
<Node cacheInMemory="true" charset="UTF-8" enabled="enabled" fileURL="dict:outputPayload" guiName="JSON WRITER" guiX="900" guiY="20" id="JSON_WRITER0" type="JSON_WRITER">
<attr name="mapping"><![CDATA[<?xml version="1.0" encoding="UTF-8"?>
<clover:collection clover:name="test" xmlns:clover="http://www.cloveretl.com/ns/xmlmapping">
  <item clover:inPort="0">
    <DeptID>$0.DeptID</DeptID>
    <Dept>$0.Dept</Dept>
    <Staff>$0.Staff</Staff>
  </item>
</clover:collection>]]></attr>
<attr name="_data_format"><![CDATA[JSON]]></attr>
</Node>
<Edge debugMode="true" fromNode="DATA_READER0:0" guiBendpoints="" id="Edge0" inPort="Port 0 (in)" metadata="f79c6373-b266-4a78-91c9-3a731304eef1" outPort="Port 0 (output)" toNode="FOREACH_TEST_TEST:0"/>
<Edge debugMode="true" fromNode="FOREACH_TEST_TEST:0" guiBendpoints="" id="Edge1" inPort="Port 0 (in)" metadata="4b092da3-e786-4f90-8e22-d9d5e8d7a7b1" outPort="Port 0 (out)" toNode="JSON_WRITER0:0"/>
</Phase>
</Graph>

和显示数据映射的GRF文件:

startTime = (NSDate.timeIntervalSinceReferenceDate())

2 个答案:

答案 0 :(得分:1)

在分割器中你已经剥离了标题。

在DataMapper中,您可以选择&#39; Rows to Ignore&#39;设置为&#34; 1&#34;。

将其设置为&#34; 0&#34;,或更改分割器中的表达式。

因为现在你告诉DataMapper忽略你唯一的一行!

答案 1 :(得分:0)

你忽略了进入数据映射器的行,因此没有完成映射删除&#34;要忽略的行&#34;。然后映射器将对进入的行进行处理