Mule中的多个集合聚合器导致路由混淆

时间：2012-12-19 19:50:01

标签： mule

所以，我正在尝试使用Choice Flow Control根据数据库中的字段路由发票。这在没有使用集合聚合器的情况下工作正常，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，在我上次测试运行中，LHF_INVOICE_METHOD ='INACTV'和IS_ZERO_OR_NEGATIVE ='1'的发票被路由到“Trucking”（它正确路由到“Inactive”而没有收集聚合）。我认为集合聚合器正在使路由相互交叉。我设置了MULE_CORRELATION_ID以包含LHF_INVOICE_METHOD和IS_ZERO_OR_NEGATIVE，因此集合聚合器具有自己的相关ID。

<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,&#13;&#10;LHF_INVOICE_METHOD, STATUS_FLAG,&#13;&#10;SYSTEM_DATE, USERNAME, RUN_NUMBER, ROWID, IS_ZERO_OR_NEGATIVE,&#13;&#10;LHF_INVOICE_METHOD || RUN_NUMBER || IS_ZERO_OR_NEGATIVE AS CORRELATION_ID,&#13;&#10;LHF_INVOICE_METHOD || RUN_NUMBER || IS_ZERO_OR_NEGATIVE || '2' AS CORRELATION_ID_2&#13;&#10;FROM             FIN.LHF_INVOICE_WORKFLOW &#13;&#10; 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 >

我在聚合器之前在每个WHEN分支之后添加了记录器，并且在聚合之前事务转到正确的分支。这是实际数据，据我所知，Mule Correlation ID对每个聚合器都是唯一的。以下是通过发生的事情和我的预期发送的一些实际数据：

聚合之前（一切正确）

记录器无效

{INVOICE_NUMBER = 408908，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = INACTV，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 5a72f4f7，COMPANY_CODE = 1，STATUS_FLAG = N ，USERNAME = BBRYAN，CORRELATION_ID = INACTV48626518101，CORRELATION_ID_2 = INACTV486265181012，IS_ZERO_OR_NEGATIVE = 1}

{INVOICE_NUMBER = 406749，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = INACTV，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ c0a628c，COMPANY_CODE = 1，STATUS_FLAG = N ，USERNAME = BBRYAN，CORRELATION_ID = INACTV48626518101，CORRELATION_ID_2 = INACTV486265181012，IS_ZERO_OR_NEGATIVE = 1}

{INVOICE_NUMBER = 408691，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = INACTV，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 42652ecc，COMPANY_CODE = 1，STATUS_FLAG = N ，USERNAME = BBRYAN，CORRELATION_ID = INACTV48626518100，CORRELATION_ID_2 = INACTV486265181002，IS_ZERO_OR_NEGATIVE = 0}

记录器为零或负

{INVOICE_NUMBER = 409061，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = MAILUS，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 7933b36f，COMPANY_CODE = 1，STATUS_FLAG = N ，USERNAME = BBRYAN，CORRELATION_ID = MAILUS48626518101，CORRELATION_ID_2 = MAILUS486265181012，IS_ZERO_OR_NEGATIVE = 1}

{INVOICE_NUMBER = 410968，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = EDI，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 7a9b36be，COMPANY_CODE = 1，STATUS_FLAG = N ，USERNAME = BBRYAN，CORRELATION_ID = EDI48626518101，CORRELATION_ID_2 = EDI486265181012，IS_ZERO_OR_NEGATIVE = 1}

聚合后

无效1 :(这两个去了正确的路线）

[{INVOICE_NUMBER = 408908，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = INACTV，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 5a72f4f7，COMPANY_CODE = 1，STATUS_FLAG = N，USERNAME = BBRYAN，CORRELATION_ID = INACTV48626518101，CORRELATION_ID_2 = INACTV486265181012，IS_ZERO_OR_NEGATIVE = 1}，

{INVOICE_NUMBER = 406749，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = INACTV，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ c0a628c，COMPANY_CODE = 1，STATUS_FLAG = N ，USERNAME = BBRYAN，CORRELATION_ID = INACTV48626518101，CORRELATION_ID_2 = INACTV486265181012，IS_ZERO_OR_NEGATIVE = 1}]

零美元:(这是正确的）

[{INVOICE_NUMBER = 409061，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = MAILUS，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 7933b36f，COMPANY_CODE = 1，STATUS_FLAG = N，USERNAME = BBRYAN，CORRELATION_ID = MAILUS48626518101，CORRELATION_ID_2 = MAILUS486265181012，IS_ZERO_OR_NEGATIVE = 1}]

货运:(这应该是零美元）

[{INVOICE_NUMBER = 410968，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = EDI，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 7a9b36be，COMPANY_CODE = 1，STATUS_FLAG = N，USERNAME = BBRYAN，CORRELATION_ID = EDI48626518101，CORRELATION_ID_2 = EDI486265181012，IS_ZERO_OR_NEGATIVE = 1}]

特殊处理:(应该转为“非活动1”）

[{INVOICE_NUMBER = 408691，SYSTEM_DATE = 2012-12-19 16：36：50.0，DIVISION = 1，LHF_INVOICE_METHOD = INACTV，RUN_NUMBER = 4862651810，ROWID = oracle.sql.ROWID @ 42652ecc，COMPANY_CODE = 1，STATUS_FLAG = N，USERNAME = BBRYAN，CORRELATION_ID = INACTV48626518100，CORRELATION_ID_2 = INACTV486265181002，IS_ZERO_OR_NEGATIVE = 0}]

1 个答案:

答案 0 :(得分：2)

路由不会受到影响，但邮件会点击右侧collection-aggregator，但会在错误的群组中汇总，因此当其超时时，另一个collection-aggregator会结束传递

这是因为所有聚合器都使用默认的共享消息存储，这使得Mule完全将消息混合在一起。此默认行为是错误的IMO，但要解决此问题，请在每个聚合器上配置唯一 storePrefix。

例如：

<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>

依此类推。

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