Mule中的多个集合聚合器导致路由混淆
因此,我尝试使用Choice Flow控件根据数据库中的字段发送发票。这在不使用收集聚合器的情况下运行良好,但是我想使用聚合器将事务分组到单个电子邮件中。但是,当我添加集合聚合器时,路由会变得混乱。例如,在我的上一次测试中,使用LHF_invoice_METHOD='INACTV'和IS_ZERO_或_NEGATIVE='1'的发票被路由到“卡车运输”(它正确路由到“非活动”而不进行集合聚合)。我认为收集聚合器导致路线相互交叉。我将MULE\u CORRELATION\u ID设置为包含LHF\u INVOICE\u方法,并且为零或负,因此集合聚合器有自己的相关IDMule中的多个集合聚合器导致路由混淆,mule,Mule,因此,我尝试使用Choice Flow控件根据数据库中的字段发送发票。这在不使用收集聚合器的情况下运行良好,但是我想使用聚合器将事务分组到单个电子邮件中。但是,当我添加集合聚合器时,路由会变得混乱。例如,在我的上一次测试中,使用LHF_invoice_METHOD='INACTV'和IS_ZERO_或_NEGATIVE='1'的发票被路由到“卡车运输”(它正确路由到“非活动”而不进行集合聚合)。我认为收集聚合器导致路线相互交叉。我将MULE\u CORRELATION\u ID设置为包含LHF\
<flow name="InvoiceWorkflow" doc:name="InvoiceWorkflow" processingStrategy= "synchronous">
<jdbc:inbound-endpoint queryKey="GetUnprocessedInvoices" queryTimeout="10000" pollingFrequency= "1000" connector-ref ="Database" doc:name="Get invoice run" >
<jdbc:query key="GetUnprocessedInvoices" value="SELECT COMPANY_CODE, DIVISION, INVOICE_NUMBER, LHF_INVOICE_METHOD, STATUS_FLAG, SYSTEM_DATE, USERNAME, RUN_NUMBER, ROWID, IS_ZERO_OR_NEGATIVE, LHF_INVOICE_METHOD || RUN_NUMBER || IS_ZERO_OR_NEGATIVE AS CORRELATION_ID, LHF_INVOICE_METHOD || RUN_NUMBER || IS_ZERO_OR_NEGATIVE || '2' AS CORRELATION_ID_2 FROM FIN.LHF_INVOICE_WORKFLOW WHERE (STATUS_FLAG = 'N')"/>
</jdbc:inbound-endpoint>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="insert_invoice_run" queryTimeout= "10000" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name= "Load to custom_app_data">
<jdbc:query key="insert_invoice_run" value="INSERT INTO lhf_ros_invoice_workflow ([COMPANY_CODE] ,[DIVISION] ,[INVOICE_NUMBER] ,[LHF_INVOICE_METHOD] ,[STATUS_FLAG] ,[SYSTEM_DATE] ,[USERNAME] ,[RUN_NUMBER] ,[IS_ZERO_OR_NEGATIVE]) VALUES (#[map-payload:COMPANY_CODE] ,#[map-payload:DIVISION] ,#[map-payload:INVOICE_NUMBER] ,#[map-payload:LHF_INVOICE_METHOD], #[map-payload:STATUS_FLAG] ,#[map-payload:SYSTEM_DATE] ,#[map-payload:USERNAME] ,#[map-payload:RUN_NUMBER] ,#[map-payload:IS_ZERO_OR_NEGATIVE])"/>
</jdbc:outbound-endpoint>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MarkAsProcessed" queryTimeout= "10000" connector-ref="DatabaseMuleLogin" doc:name= "Mark Processed in Ross" >
<jdbc:query key="MarkAsProcessed" value="UPDATE FIN.LHF_INVOICE_WORKFLOW SET STATUS_FLAG = 'P' WHERE (ROWID = #[map-payload:ROWID])"/>
</jdbc:outbound-endpoint>
<message-properties-transformer doc:name="Message Properties">
<add-message-property key="MULE_CORRELATION_GROUP_SIZE" value="1000"/>
<add-message-property key="MULE_CORRELATION_ID" value="#[message.payload.CORRELATION_ID]"/>
</message-properties-transformer>
<choice doc:name="Choice" >
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'INACTV']">
<processor-chain>
<collection-aggregator failOnTimeout="false" doc:name="Inactive" timeout="2000"/>
<smtp:outbound-endpoint responseTimeout="10000" doc:name="Inactive" from="muleservice@example.com" subject="[Invoice Workflow] Inactive 1" to="ben@example.com" host="mail.example.com"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<when expression="#[message.payload.IS_ZERO_OR_NEGATIVE=='1']">
<processor-chain>
<collection-aggregator timeout="3000" failOnTimeout="false" doc:name="Zero"/>
<smtp:outbound-endpoint to= "ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] Zero Dollar " responseTimeout= "10000" doc:name="Zero Dollar" host="mail.example.com"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<when expression="#[message.payload.LHF_INVOICE_METHOD=='TRUCK']">
<processor-chain>
<collection-aggregator timeout="4000" failOnTimeout="false" doc:name="Truck"/>
<smtp:outbound-endpoint to= "ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] Trucking" responseTimeout= "10000" doc:name="Trucking" host="mail.example.com"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<otherwise>
<processor-chain>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] RSForms Email" responseTimeout="10000" doc:name="RSForms"/>
<message-properties-transformer overwrite="true" doc:name="Message Properties">
<add-message-property key="MULE_CORRELATION_ID" value="#[message.payload.CORRELATION_ID_2]"/>
</message-properties-transformer>
<choice doc:name="Choice">
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'SPEC']">
<processor-chain>
<collection-aggregator timeout="5000" failOnTimeout="false" doc:name="Special"/>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] Special Handling" responseTimeout="10000" doc:name="Special"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'EMAIL']">
<processor-chain>
<collection-aggregator timeout="6000" failOnTimeout="false" doc:name="Do Nothing"/>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] Do nothing" responseTimeout="10000" doc:name="Do Nothing"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'MAILUS']">
<processor-chain>
<collection-aggregator timeout="7000" failOnTimeout="false" doc:name="US Mail"/>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] US Mail" responseTimeout="10000" doc:name="US Mail"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'MAILCN']">
<processor-chain>
<collection-aggregator timeout="8000" failOnTimeout="false" doc:name="Intl Mail"/>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] Intl Mail" responseTimeout="10000" doc:name="Intl Mail"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'EDI']">
<processor-chain>
<collection-aggregator timeout="9000" failOnTimeout="false" doc:name="EDI"/>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] EDI" responseTimeout="10000" doc:name="EDI"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>
<otherwise>
<processor-chain>
<collection-aggregator timeout="10000" failOnTimeout="false" doc:name="Exceptions"/>
<smtp:outbound-endpoint host="mail.example.com" to="ben@example.com" from="muleservice@example.com" subject="[Invoice Workflow] Exceptions" responseTimeout="10000" doc:name="Exceptions"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</otherwise>
</choice>
</processor-chain>
</otherwise>
</choice>
</flow >
我在聚合器之前的每个WHEN分支之后添加了记录器,并且事务在聚合之前转到正确的分支。这里是实际数据,据我所知,Mule关联ID对于每个聚合器都是唯一的。下面是一些实际发送的数据,包括发生的事情和我的预期:
聚合前(全部正确)
记录器处于非活动状态
{发票编号=408908,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=INACTV,运行编号=4862651810,ROWID=oracle.sql。ROWID@5a72f4f7,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=INATV48626518101,相关性ID=INATV486265181012,为零或负=1}
{发票编号=406749,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=INACTV,运行编号=4862651810,ROWID=oracle.sql。ROWID@c0a628c,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=INATV48626518101,相关性ID=INATV486265181012,为零或负=1}
{发票编号=408691,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=INACTV,运行编号=4862651810,ROWID=oracle.sql。ROWID@42652ecc,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=INACTV48626518100,相关性ID=INACTV486265181002,为零或负=0}
零或负的记录器
{发票编号=409061,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=MAILUS,运行编号=4862651810,ROWID=oracle.sql。ROWID@7933b36f,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=MAILUS48626518101,相关性ID=MAILUS486265181012,为零或负=1}
{发票编号=410968,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=EDI,运行编号=4862651810,行ID=oracle.sql。ROWID@7a9b36be,公司代码=1,状态标志=N,用户名=BBRYAN,关联ID=EDI48626518101,关联ID=EDI486265181012,为零或负=1}
聚合后的
非活动1:(这两个人去了正确的路线)
[{发票编号=408908,系统日期=2012-12-19 16:36:50.0,分区=1,LHF发票方法=INACTV,运行编号=4862651810,ROWID=oracle.sql。ROWID@5a72f4f7,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=INATV48626518101,相关性ID=INATV486265181012,为零或负=1}
{发票编号=406749,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=INACTV,运行编号=4862651810,ROWID=oracle.sql。ROWID@c0a628c,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=INACTV48626518101,相关性ID=INACTV486265181012,为零或负=1}]
零美元:(这个是正确的)
[{发票编号=409061,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=MAILUS,运行编号=4862651810,ROWID=oracle.sql。ROWID@7933b36f,公司代码=1,状态标志=N,用户名=BBRYAN,相关号=MAILUS48626518101,相关号=MAILUS486265181012,为0或负=1}]
卡车运输:(本应为零美元)
[{发票编号=410968,系统日期=2012-12-19 16:36:50.0,部门=1,LHF发票方法=EDI,运行编号=4862651810,行ID=oracle.sql。ROWID@7a9b36be,公司代码=1,状态标志=N,用户名=BBRYAN,相关性ID=EDI48626518101,相关性ID=EDI486265181012,为零或负=1}]
特殊处理:(应转到“非活动1”)
[{发票编号=408691,系统日期=2012-12-19 1
<when expression="#[message.payload.LHF_INVOICE_METHOD == 'INACTV']">
<processor-chain>
<collection-aggregator storePrefix="inactive" failOnTimeout="false" doc:name="Inactive" timeout="2000"/>
<smtp:outbound-endpoint responseTimeout="10000" doc:name="Inactive" from="muleservice@example.com" subject="[Invoice Workflow] Inactive 1" to="ben@example.com" host="mail.example.com"/>
<jdbc:outbound-endpoint exchange-pattern="one-way" queryKey="MARK_COMPLETE" queryTimeout="-1" connector-ref="SPTSQL01_APPS_custom_app_data" doc:name="Mark Complete"/>
</processor-chain>
</when>