A BPMN process debugging

Similar Questions

• Communication problem between asynchronous process BPMN

  Hello, I have problems with communication between the two BPMN processes with an interface assynchronous.
  
  
  I have a main process BPMN (process a) and on the inside, I send task to call a second method BPMN (B). The two processes are inside the same project JDev.
  
  B BPM process was created using the JDev Assistant. I chose an asynchronous service and set the input and output variables. In the process of creating, I checked the start and end events (on the implementation tab) and the two are defined corretcly. In the process composite.xml B has 2 operations on Services exposed (left) side.
  
  A process, within the implementation of Task tab send, I selected:
  Type of conversation: lance
  Properties
  -Implementation: appeal process
  -Process: I can browse and select B processes
  -Node: Nothing appears on the LOV.
  
  If instead of the send task I use a Service task I can select the node (node B process starts).
  
  I use versions 11.1.1.4 JDev and SOA/BPM.
  
  
  Can you help me? I'm doing something wrong?
  
  Thanks for your help.
  
  Published by: 861727 on May 26, 2011-09:12

  There is a known issue in 11.1.1.4 when calling another process (in the same project) using the send/receive activity. As you noted the start for the process called node is not displayed. The workaround is to use the event to throw the Message and Catch event Message. They have the same semantics of async as send/receive activity. You would use Service call since it is synchronous.

• How to manually deploy a BPM process

  Hello world

  I am trying to deploy to a server of soa, a test of process simple_dummy BPM 11 g (it contains the only human task, the start and stop), but it failed with this error:

  ************************************************************************************

  [14: 59:41]-deployment began.  ----

  [14: 59:41] the target platform's (Weblogic 10.3).

  [14: 59:41] analysis of the dependence running...

  [14: 59:41] building...

  [14: 59:52] deployment of profile...

  [14: 59:52] update of the review for the project SOA "Test1.jpr" id to ' 1.0'...»

  [14: 59:53] wrote the Archives Module to C:\JDeveloper\mywork\Test1\Test1\deploy\sca_Test1_rev1.0.jar

  [14: 59:53] analysis of the dependence running...

  [14: 59:53] building...

  [15: 00:03] deployment 2 profiles...

  [15: 00:03] wrote on the Web for C:\JDeveloper\mywork\Test1\Test1UI\deploy\Test1UI.war application Module

  [15: 00:04] wrote the Module Enterprise Application to C:\JDeveloper\mywork\Test1\deploy\Test1.ear

  [15: 00:04] deployment of sca_Test1_rev1.0.jar on the 'default' server soa_server1 partition

  [15: 00:04] sar=/C:/JDeveloper/mywork/Test1/Test1/deploy/sca_Test1_rev1.0.jar treatment

  [15: 00:04] adding file sar - C:\JDeveloper\mywork\Test1\Test1\deploy\sca_Test1_rev1.0.jar

  [15: 00:04] preparing to send the HTTP request for the deployment

  [15: 00:04] Creation of the HTTP connection to the host: 192.168.114.85, port: 8001

  [15: 00:04] sending internal deployment descriptor

  [15: 00:04] send (archive) - sca_Test1_rev1.0.jar

  [15: 00:05] Server, the response code = 500 HTTP response was received

  [15: 00:05] error in deployment of archives sca_Test1_rev1.0.jar to partition 'default' server soa_server1

  [15: 00:05] HTTP error Code returned [500]

  [15: 00:05] Error Message from the server:

  There was a deployment of the composite on soa_server1 error: deployment failed: error occurred during deployment of the component: Test1 to the service engine: implementation.bpmn, for composites: Test1: java.lang.RuntimeException: oracle.bpm.metadata.exception.MetadataException: BPM-70812: not found 'Test1' process.  Cause: The specified process has not been found.  Action: Check that the name of the process is correct: oracle.bpm.metadata.exception.MetadataException: BPM-70812: not found 'Test1' process.  Cause: The specified process has not been found.  Action: Check that the name of the process is correct.

  [15: 00:05] check the log of the server for more details.

  [15: 00:05] error in deployment of archives sca_Test1_rev1.0.jar to partition 'default' server soa_server1

  [15: 00:05] # incomplete deployment.  ####

  [15: 00:05] error deployment archive file:/C:/JDeveloper/mywork/Test1/Test1/deploy/sca_Test1_rev1.0.jar

  (oracle.tip.tools.ide.fabric.deploy.common.SOARemoteDeployer)

  ************************************************************************************

  I tried to solve by replacing the folder under my C:\Oracle\Middleware\jdeveloper\soa\modules\oracle.soa.fabric_11.1.1 with that I found under the server of soa, but it did not work properly.

  So the only solution may be trying to manually deploy the jar file on server of soa.

  I've never done before and I do not know how... I'm a newbie... I'm sorry.

  How to create the jar of Jdev, then how to deploy.

  Thanks for any help.

  Fairlie

  HI there are Fairlie,

  the jar (SAR) file is located in C:\JDeveloper\mywork\Test1\Test1\deploy.

  You can take the .jar file, open the FMW Enterprise Manager command: http://:default console and go to SOA > soa-infra > (right click) SOA deployment. Then the wizard will guide you through the deployment.

  I still don't think that this will solve your problem. If the composite not deployed JDeveloper there is a great chance not not deploy via EM either.

  I advise you to carefully examine the composite.xml file and to verify that the name of the process (not the project, but the BPMN process) that you implemented is Test1.

  Hope this helps,

  Anatoli

• A correlation must be established at the level of the process calling or called?

  In the Oracle BPM Suite 11 g: advanced topics of BPMN book, the authors wrote:

  When you use the message-based correlation, don't the called process must be aware of the correlation, the appeal process. The runtime will take care of the details for the calling process, you don't need to include details of correlation in the process model for the calling process.

  In the called process, you must include the definition of correlation set and specify the tasks or events appropriate to use correlation. Let's look at an example in the following diagram:

  In the example above, the authors introduce a correlation on the called process.

  

  However, documentation of Oracle on the correlation, the typical design for correlation flow mentions that the correlation is initiated by the sender of the message, as shown below.

  1 design processes that communicate with each other.

  2. in the calling process, add the stream object that sends a message to the other process.

  3. define a correlation to the stream object that sends the message and configure it to initiate the property aliases.

  4. in the called procedure, add the stream object that receives the message.

  5. configure the stream object that receives the message using the correlation you defined and assign a value to the property alias.

  I also found this article - work with Custom correlation in Oracle BPM Suite 11 g, in which the author gave 2 examples of correlation in a taxi booking process. In these two examples, the author has also launched the correlation on the sender of the message.

  In the same section in the book, the authors also wrote:

  You need not set properties of correlation on the outputs of the process, for example, his task to send, or any nodes (message) or throw the message events. Only the entries have correlation properties.

  I would be very grateful if you could help me with the following questions:

  1. When is the right time to launch a correlation of the receiver / called process side?
  2. How the calling process can decide that the answer message he receives come from what conversation if the calling process is not the man who hired the conversation?
  3. Regarding the last quote, is there something wrong if I define a correlation on the output to send to a specific process instance?

  After spending some time more twisting my brain, I think I got a better understanding of the correlation now. Please correct me if I am mistaken on all parties. It is important to me.

  Where and when to define the correlation depends on 2 rules:

  1. Who needs conversation?
  2. Who is 1st to 'talk' in the conversation?

  There are a few scenarios that can occur:

  1. Only the called process needs a conversation.
  • This scenario has been well illustrated by Arun Pareek in his blog - working with Custom correlation in Oracle BPM Suite 11 g, in which he created a process for the taxi booking. As shown in the image below, there is a subprocess embedded to cancel a reservation. In this case, when another part of the system (process BPEL, BPMN process, etc.) sends a message "Cancel booking" in this process of 'CabBooking', he cares not the conversation. It is the process of 'CabBooking' who needs conversation in order to correct one of its instances running unreserve. The system of 'other', it's just a normal service with the ID of the booking must be cancelled.
    • 
  • Commercially, this kind of procedure should be the case for most popular use for correlation. Technical side, this is where Mark Nelson is correct. As only the called process needs the convesation, the calling process has no need to be aware of the correlation. According to rule 2, it is clear that the activity of "Booking request" is the place to initiate the correlation, as has been done by Arun Pareek in his blog. Subsequently, the "cancel booking" activity can make use of this initiated correlation.
• Only the calling process must a conversation.
  • This scenario was presented by Mark Nelson in his book - Oracle BPM Suite 11 g BPMN topics advanced, in which he had 2 processes: process a to calculate a square of a number and process B to submit the number of input in the process a as shown below. In this example, the correlation was launched on the 'send task' B and used by the task "receive" B processes processes. In the process, he doesn't care the conversation; his only responsibility is to calculate the square of the number of input. It's the process B who needs conversation in order to map the correct response to the Service call message.
• A.
• B.
• Technically, the motivation for this scenario is usually the case in which the called process is a reusable service that does not support WS-addressing. Generally, within the Oracle stack, as WS-addressing is supported, simply use the default conversation without having to manually create correlations. On the business end, one of the reasons for having such a correlation are to ensure that there is only one instance of execution with a special at any time correlation key. For example, for procedure B, it is not possible to have 2 instances with the same number of entries as the correlation key. After the 2nd rule, it is easy to know where to start the correlation - the activity of the 'task to send' process B.
• The appeals process and need a conversation.
  • This scenario is also confirmed in blog Arun Pareek. In the 'Get booking availability' embedded sub-process, he throwed a 'send booking confirmation' signal and then took in the primary process to the activity of «Get answer of Confirmation booking»
. In fact there are 2 ways to implement correlation in this case.
• 
  • Assuming that no correlation has been created in the process of "Taxi booking" (ignore the use case for "Cancel booking" above), sequel to the 2nd rule, as the "send Booking Confirmation" is the activity 1 to join the conversation, this is the place to initiate the correlation, as has been done by Arun Pareek. Subsequently, the 'Booking Confirmation Response Get' will make using the correlation of insiders.
  • We can push this scenario 1 scenario - "only the called process needs a conversation", by launching the correlation directly on the first activity, "Booking request", "cabin booking" in the process of. Using this approach, the 'availability reservation get' subprocess embedded as well as any other external processes that need to communicate with the 'Cabin booking' process will not be aware of the conversation. In this case, all the 'other' process is enough to call a favor. Correlation initiated on the 'Cabin booking' process will take care of the rest.
  • The 2nd approach should be the best practice, because it helps ensure that the correlation is initiated in only 1 place - the 1st activity of the process called and reused by anyone.
• Subprocess multi-instance incorporated.
  • This scenario was presented by Mark Nelson will use a process C, which is a sub-process multi-instance incorporated, to call multiple service to the process above. In this example, the correlation was launched on the 'task to send' C process and used in the 'task to receive' C processes. Once A process has no need to be aware of the conversation. In addition, a conversation of scope must be defined inside the embedded sub-process.
    • 
  • The reason why the correlation must be initiated the calling process is because only one instance of the calling process is several service call to the same process in parallel at the same time. On arrival, the calling process response messages must know what answer message is requiring the Service. Again, within the Oracle stack, as WS-addressing is supported, it is sufficient to use brought the conversation without having to manually define correlations.

This is how I understand the correlation at this stage. Please let me know if I misunderstood something.

Thanks a lot for your help!

• Process of reading/definition of component Java Spring or XSLT data objects

  I have a BPMN process that refers to a service component of spring.
  The spring has a Java class and within this category, I would like to be able to reference the data of the BPMN process objects.
  Ideally, I would like to simply read and write to these objects within the Java class.
  However, if this is not possible, I have not I can define the input parameter for the Java class and have it return an object.
  If I go this way, how spend or return an object of one type other than your standard types (string, int, boolean)?
  
  For example, I have a data object is a type that I created, based on a schema.
  How do I refer to one in a Java class?
  
  Hope that makes sense.
  Thank you
  Mike

  Mike,
  Steps 1 to 3 are correct. You should not change the WSDL file however. You have 2 options:

  1. create the POJO with your code of spring which have the same or similar structure to the schema you want to use. Add them as arguments and the return type of your operation. Then you can re-create the exposed service and it will regenerate your WSDL with the new definitions of type of these objects.
  2. you could generate your existing schemas JAXB java objects and use them as the argumengs and types back. We had problems in the past with this so it may not work for you, depending on your version.

  Thank you
  Adam DesJardin

• passing a reference structure in a dll (cvi) of EEG, a mistake-17502; System-level exception.

  Creates a container that matches parameter in cvi dll.  I have the container facility by checking the death of struct C using packaging of 8 bytes.  With the help of the adapter of the CVI has created an action.  When the step is executed, I get this error (17502; Except for system-level).

  Have you created a type of data customized to represent the struct (you say that you have created a container)? You specify the field for each variable type structure in the custom data type? You must configure each field to say TestStand what data type to use, for example, a number can be a double, int, short, or char, and TestStand needs to know that in order to create a corresponding structure correctly. Did you create an instance of this type to pass into the dll function? Thanks for posting the definition of structure, you use c if possible, also, please describe exactly how you configured each variable in the definition of type (custom data type), that you have created. If you are able to provide more information, we can try to see if there is a problem with the custom data type configuration.

  You can also take a look at what makes your function, the function code could lead to a breach of access or another exception of system level. You can launch the editor of sequence of CVI process debugging to debug your code module, or change the setting of the ICB card adapter configuration run the code a an external instance of the CVI.

  Hope this helps,

  -Doug

• Automation of the AP (FIPSA Question)

  We have implemented by the consultant AP automation, and it is necessary to add a few actions on the queue to approval by AXF worklist.

  I'm new to this so can somebody help me please how to do this.

  Any help is appreciated.

  Hi user,

  Any action in AXF worklist is defined in AXF present tables under IPM scheme.

  AXF_ACTIONS, AXF_Command, and AXF_Solution parameters menu-id-based table primary table AXF_MENU table where we have defined these actions.

  Here is the document to understand how make for the defined namespace order and solution.

  https://docs.Oracle.com/CD/E16764_01/doc.1111/e15865/c04_axf_tables_imaging002.htm#CHDEEAEC

  The Action appears in the list of tasks AXF.

  Now once you have defined the action then you must declare that business logic means after clicking on the action, you will need to run logic.

  This logic you defined in SOA BPEL BPM BPMN process of human task.

  Here you will need to check the result of labour human and based on this logic road

• The behavior of business rule when you deploy a new version

  Hi Experts,

  My client is using bpm11g, they asked when you deploy a new version of bpmn process with build-in the business rule, what will happen to the existing and update of the composer?

  The old rule will be updated with the new version or will be preserved as it was? If the latter is true, when the new version will be effective?

  Best regards

  Hello

  What has to happen, is it time that you changed a BR in the composer, that a redeployment of the composite does not replace the amended administrative rules.

  You can / should export your composite of EM then you JDeveloper project reflecting changes in the BR in composer: using Oracle SOA composer with Oracle Business Rules - 11 g Release 1 (11.1.1.6.1).

  Kind regards
  Martian

• Need help on PSP with the JDE ERP integration

  Hello

  We need to implement accounting processes with JDE using FIP Solution accelerator providers.

  It seems that Oracle does not provide this integration, please someone implemented, can provide some details will be highly appreciated.

  You can go forward with the consultation.

  But if you look at the base or FIPSA solution accelerator, these are all business processes that can be built easily internal either using BPMN or BPEL.

  I have provided details taking point of FIPSA for EBS you mentioned that oracle provide for that.

  Leave that all behind, go build your own set of BPEL/BPMN process to expedite the process of AP/expense in your organization.

  Even the adapter for JDE development is very simple as it seems.

  If you decide to go forward in the internal system I can help you in all aspects or ODC/RPO/IPM/UCM/BPMN/BPEL/JDE/EBS/TFTP.

• How to find a good practical tutorials BPM (specifically Oracle 12 c BPM composer)

  Questions for the BPM expert group?

  I found the link above, but it is not a comment section where I can ask my questions (or if there is I don't have access to it).

  I'm new to general and back to Oracle BPM Suite BPM. I evaluate my company see if it's something that we can use, but I found little of practical tutorials or examples for the BPM Suite 12 c. I have not yet figured out how to import from other sources BPM diagrams (and I know this feature exists). Any advice?

  Some resources can help:

  • The Oracle Learning Library offers a number of free tutorials of BPM: https://apexapps.oracle.com/pls/apex/f?p=44785:141:0:NO:141:P141_PAGE_ID, P141_SECTION_ID:11, 68
  • Oracle BPM advanced 12 c and recovery - part 1 error handling
  • Oracle BPM advanced 12 c and recovery - part 2 error handling

  Series of articles by Oracle ACE associate Antonis Antoniou, one of panelists on the podcast.

  • Oracle BPM 12 c SKIP / BACK lessons learned exception handling
  • Decoupling of Instance Oracle BPM process information
  • Using BPM BPMN process models:
  • It isn't "BPM vs. BPEL.

  Resources provided by Oracle ACE Dan Atwood, another panelist podcast.

  That should keep busy you for a while!

  --

  Bob Rhubart-Oracle

• Attachments in 'ExecData' task is lost

  Following article - Oracle BPM: adding an attachment when the initialization of human task, I am trying to initialize a BPMN process with attachments. As guided in a 'Data Association' activity, I traced all the attributes required to create a single attachment to "execData" one task as seen in the image below.

  

  However, when I connect BPM workspace, I don't see attachment at all. To make sure that the attachment information are actually there before the task is started, I checked the using Enterprise Manager Audit trail. In the section 'Instance entry in the activity' of the task, as shown below, I see the "attachment <>" tag with all the information that I put in.

  <auditQueryPayload  auditId="62007"  ciKey="660002">
      <serviceInput>
          <element  name="payload"  detailId="59006"  isBusinessIndicator="false">
              <value>
                  <initiateTask>
                      <task>
                          <payload/>
                          <attachment>
                              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</content>
                              <mimeType>application/pdf</mimeType>
                              <name>test.pdf</name>
                              <updatedBy>weblogic</updatedBy>
                              <doesBelongToParent>false</doesBelongToParent>
                              <updatedDate>2014-09-10T08:48:33.931+08:00</updatedDate>
                              <attachmentScope>BPM</attachmentScope>
                          </attachment>
                          <processInfo>
                              <instanceId>660002</instanceId>
                              <processId>AttachmentProcess</processId>
                              <processName>AttachmentProcess</processName>
                          </processInfo>
                          <systemAttributes>
                              <activityName>TestTask</activityName>
                              <activityId>ACT10871649446046</activityId>
                              <thread>0</thread>
                              <parentThread>-1</parentThread>
                              <swimlaneRole>ProcessOwner</swimlaneRole>
                          </systemAttributes>
                      </task>
                  </initiateTask>
              </value>
          </element>
      </serviceInput>
  </auditQueryPayload>
  
  
  

  However, as the instance lets the task, the attachment is gone.

  <auditQueryPayload  auditId="62008"  ciKey="660002">
      <serviceOutput>
          <element  name="execData"  detailId="59007"  isBusinessIndicator="false">
              <value>
                  <task>
                      <title>AttachmentProcess</title>
                      <payload/>
                      <taskDefinitionURI>default/AttachmentProcess!1.0/TestTask</taskDefinitionURI>
                      <ownerRole>AttachmentProject.ProcessOwner</ownerRole>
                      <priority>3</priority>
                      <identityContext>jazn.com</identityContext>
                      <processInfo>
                          <instanceId>660002</instanceId>
                          <processId>AttachmentProcess</processId>
                          <processName>AttachmentProcess</processName>
                      </processInfo>
                      <systemAttributes>
                          <acquiredBy>jcooper</acquiredBy>
                          <approvalDuration>269032</approvalDuration>
                          <approvers>jcooper</approvers>
                          <assignedDate>2014-09-10T08:48:34+08:00</assignedDate>
                          <createdDate>2014-09-10T08:48:34+08:00</createdDate>
                          <digitalSignatureRequired>false</digitalSignatureRequired>
                          <endDate>2014-09-10T08:53:03.032+08:00</endDate>
                          <hasSubTasks>false</hasSubTasks>
                          <inShortHistory>true</inShortHistory>
                          <isGroup>true</isGroup>
                          <numberOfTimesModified>4</numberOfTimesModified>
                          <outcome>APPROVE</outcome>
                          <passwordRequiredOnUpdate>false</passwordRequiredOnUpdate>
                          <pushbackSequence>INITIAL_ASSIGNEES;1-4</pushbackSequence>
                          <secureNotifications>false</secureNotifications>
                          <state>COMPLETED</state>
                          <taskId>c5c1c558-bce2-4ea1-ab2b-60703e2c4c58</taskId>
                          <taskNumber>201446</taskNumber>
                          <updatedBy>
                              <id>jcooper</id>
                              <displayName>James Cooper</displayName>
                              <type>user</type>
                          </updatedBy>
                          <updatedDate>2014-09-10T08:53:03+08:00</updatedDate>
                          <version>4</version>
                          <versionReason>TASK_VERSION_REASON_COMPLETED</versionReason>
                          <taskDefinitionId>default/AttachmentProcess!1.0/TestTask</taskDefinitionId>
                          <taskDefinitionName>TestTask</taskDefinitionName>
                          <workflowPattern>Participant</workflowPattern>
                          <isTestTask>false</isTestTask>
                          <participantName>default.DefaultPerformer</participantName>
                          <assignees>
                              <id>AttachmentProject.ProcessOwner</id>
                              <displayName>AttachmentProject.ProcessOwner</displayName>
                              <type>application_role</type>
                          </assignees>
                          <rootTaskId>c5c1c558-bce2-4ea1-ab2b-60703e2c4c58</rootTaskId>
                          <systemStringActions>PUSH_BACK,sharePayload</systemStringActions>
                          <isTemplateTask>false</isTemplateTask>
                          <taskNamespace>http://xmlns.oracle.com/AttachmentTestApplication/AttachmentProject/TestTask</taskNamespace>
                          <timers/>
                          <componentType>Workflow</componentType>
                          <activityName>TestTask</activityName>
                          <activityId>ACT10871649446046</activityId>
                          <thread>0</thread>
                          <parentThread>-1</parentThread>
                          <swimlaneRole>ProcessOwner</swimlaneRole>
                          <timersSuspended>false</timersSuspended>
                          <isDecomposedTask>false</isDecomposedTask>
                          <formName>default</formName>
                      </systemAttributes>
                      <systemMessageAttributes>
                          <numberAttribute1>0.0</numberAttribute1>
                          <numberAttribute2>0.0</numberAttribute2>
                          <numberAttribute3>0.0</numberAttribute3>
                          <numberAttribute4>0.0</numberAttribute4>
                          <numberAttribute5>0.0</numberAttribute5>
                          <numberAttribute6>0.0</numberAttribute6>
                          <numberAttribute7>0.0</numberAttribute7>
                          <numberAttribute8>0.0</numberAttribute8>
                          <numberAttribute9>0.0</numberAttribute9>
                          <numberAttribute10>0.0</numberAttribute10>
                          <protectedNumberAttribute1>0.0</protectedNumberAttribute1>
                          <protectedNumberAttribute2>0.0</protectedNumberAttribute2>
                          <protectedNumberAttribute3>0.0</protectedNumberAttribute3>
                          <protectedNumberAttribute4>0.0</protectedNumberAttribute4>
                          <protectedNumberAttribute5>0.0</protectedNumberAttribute5>
                          <protectedNumberAttribute6>0.0</protectedNumberAttribute6>
                          <protectedNumberAttribute7>0.0</protectedNumberAttribute7>
                          <protectedNumberAttribute8>0.0</protectedNumberAttribute8>
                          <protectedNumberAttribute9>0.0</protectedNumberAttribute9>
                          <protectedNumberAttribute10>0.0</protectedNumberAttribute10>
                      </systemMessageAttributes>
                      <callback>
                          <id>AttachmentProcess/HumanTasks.TestTask.reference</id>
                          <converstationId>urn:31225690388411E4BFBC95860167C987</converstationId>
                      </callback>
                      <isPublic>false</isPublic>
                      <percentageComplete>100.0</percentageComplete>
                      <sca>
                          <applicationName>default</applicationName>
                          <componentName>TestTask</componentName>
                          <compositeDN>default/AttachmentProcess!1.0*soa_89f08855-5381-4047-870f-478cc731ae1a</compositeDN>
                          <compositeInstanceId>590002</compositeInstanceId>
                          <compositeName>AttachmentProcess</compositeName>
                          <compositeVersion>1.0</compositeVersion>
                          <ecId>5b7e606b4bd38d11:-37c275d4:1485cf76e1e:-8000-00000000000002df</ecId>
                          <parentComponentInstanceId>bpmn:660002</parentComponentInstanceId>
                          <parentComponentInstanceRefId>660002-ACT10871649446046-AttachmentProcess_try.2-1</parentComponentInstanceRefId>
                          <compositeCreatedTime>2014-09-10T08:48:33.65+08:00</compositeCreatedTime>
                      </sca>
                      <applicationContext>OracleBPMProcessRolesApp</applicationContext>
                      <taskDefinitionId>default/AttachmentProcess!1.0/TestTask</taskDefinitionId>
                      <correlationId>c5c1c558-bce2-4ea1-ab2b-60703e2c4c58</correlationId>
                      <mdsLabel>soa_89f08855-5381-4047-870f-478cc731ae1a</mdsLabel>
                      <customAttributes/>
                  </task>
              </value>
          </element>
          <element  name="outcome"  isBusinessIndicator="false">
              <value> APPROVE </value>
          </element>
      </serviceOutput>
  </auditQueryPayload>
  
  
  

  If I manually downloaded a document on the workspace of BPM, manual-uploaded attachment will be in output, but the downloaded system is yet to be found.

  I would be very grateful if you could show me what I may have missed.

  UPDATE: *

  For now, my development machine is running SOA Suite v11.1.1.7.4. I just tried to test the application of BPM on my colleague under SOA Suite v11.1.1.7.0 machine and it WORKS.

  At this point, this seems to be yet another bug in the new Patch of SOA bundled. If you can make it work on v11.1.1.7.4, please let me know .

  UPDATE: *

  For now, my development machine is running SOA Suite v11.1.1.7.4. I just tried to test the application of BPM on my colleague under SOA Suite v11.1.1.7.0 machine and it WORKS.

  At this point, this seems to be yet another bug in the new Patch of SOA bundled. If you can make it work on v11.1.1.7.4, please let me know

  .

• BPM 11 composer: change of Business Objects to execution

  Hi all

  I have can´t change bussines of objects in the editor of BPM.

  I assigned the administrator and the role of composer of SOA and no one is changing the process, but everything is in 'read-Only' one the screen shows a lock:

  

  Some clues?

  Thank you all!

  Hello

  Your deployment process? Oracle business process editor only lets you change the business rules, the approval rules and the DVM at run time: customization and extension of the BPMN - 11 g Release 1 (11.1.3) process "7.1.2 what you can do with BPMN process during execution.

  If you need to update your model you can upload your project of JDev to MDS.

  Kind regards

  Jorge.

• Database adapter &amp; mediator, called by the Service causes exception?

  Hello

  I have a database adapter, a mediator plugged in my composite.xml. In my BPMN process, I have a service that uses the Ombudsman as its implementation (?). He was able to build and deploy great of JDeveloper. But now that I am trying to execute the process of the workspace, I get this error:

  < 13 may 2014 12:58:13 PM PDT > < WARNING > < oracle.soa.adapter > < BEA-000000 > < JCABinding = > JCABinding = > search for DBTestComposer2:DBAdapter [DBAdapter_ptt::DBAdapterSelect(DBAdapterSelect_inputParameters,TestTableObpmCollection)] "ÉI/DB/cpdev_users" failure due to JNDI: unable to resolve ' ist. DB.cpdev_users'. Solved ' ist. DB' >

  < 13 may 2014 12:58:13 PM PDT > < error > < oracle.soa.adapter > < BEA-000000 > < JCABinding = > DBTestComposer2:DBAdapter [DBAdapter_ptt::DBAdapterSelect(DBAdapterSelect_inputParameters,TestTableObpmCollection)] could not invoke "DBAdapterSelect" against the "null" operation due to:

  LIAISON. JCA-12511

  JCA Binding Component connection problem.

  JCA Binding component is unable to create an outgoing connection of JCA (CCI).

  DBTestComposer2:DBAdapter [DBAdapter_ptt::DBAdapterSelect (DBAdapterSelect_inputParameters, TestTableObpmCollection)]: The JCA Binding component could not establish an outbound connection of JCA CCI due to the following problem: BINDING. JCA-12510

  Location of JCA resource adapter error.

  Cannot find the adapter in JCA resources via the element of the binding .jca file <-factory connections / >

  The Binding of JCA component is unable to startup of the resource adapter that is specified in the <-factory connections / > element: location = ' EI/DB/cpdev_users.

  The reason is most likely to be

  (1) the resource adapter RAR file has not been deployed successfully to the WebLogic application server or

  (2) the "< jndi name >" element in weblogic - ra.xml has not been defined in eis/DB/cpdev_users. In the latter case, you need to add a new factory of connections from WebLogic JCA (deploy a RAR).

  Please fix this and then restart the application server

  Please ensure that the JCA connection factory and dependent connection factories have been set up with a sufficient limit for maximum connections Please also make sure that the physical connection to the EIS server is available and the backend itself accepts connections.

  Could someone explain what this means? (Sorry, we're new on Oracle technology and a lot of this terminology). What resource adapter RAR files is this allusion? We would really appreciate solutions on how to fix or solve this problem!

  I think this might solve your problem: https://community.oracle.com/message/10235476#10235476

  Dan

• Modify business rules without redeploying the application

  Hi all
  
  When you use a 'Business Rules' with a BPMN process, we can change the rules of trade without redoploying the application using composer of BPM. I would like to know if it is possible to do the same thing when we use a business with a BPEL process rules.
  
  Thanks in advance for your answer

  Use soa composer http://docs.oracle.com/cd/E15523_01/integration.1111/e10228/rtdt.htm

• AD Pwd. Sync - invalid DN syntax

  Hi all
  
  I'm new to IOM. I'm working on AD password synchronization, using 9115 connector.
  After the reset of password in AD, the log shows
  
  Debug [16/03/11 15:14:26] looking for AD to a user objectGUID is successful
  
  Debug [16/03/11 15:14:26] adding a node to the data store
  Debug [16/03/11 15:14:26] inside the sgslutilconcatData
  Debug [16/03/11 15:14:26] entire dn is == >
  Debug [16/03/11 15:14:26] cn = KRKapoor, OU = oimpwdsync192.168.120.186, OR = oimpwdsynccbs.ad.cbs .net, Persistent Store, DC = cbs, DC = ad, DC = cbs, DC = net
  Debug [03/16/11 15:14:26] 0:318 8 230 308 AQAAANCMnd8BFdERjHoAwE/Cl+sBAAAA2qoEGWkLwUedQw/1C10kAwAAAAAmAAAAUABhAHMAcwB3AG8AcgBkACAARQBuAGMAcgBwAHQAaQBvAG4AAAADZgAAqAAAABAAAABQ11lFTNd6KVxLL5vVazXzAAAAAASAAACgAAAAEAAAAM1J93dxBb3vc3IBseOb3pk4AAAAGeIIPV6VUBK3k90SmsVewrFZpXpW7V7FK2BTHZc0RoevDOLdlz3J9HdoVAy1s5NeWQQxtqBtVvAUAAAAqYX7RjDausL/+CI7keSdDV6WQcg=
  Debug [16/03/11 15:14:26]
  --------------------------------------------------------------------------------
  
  Debug [16/03/11 15:14:26] adding a node now
  Debug [16/03/11 15:14:26] inside the sgslcodsaddEPWRecord without attribute-Seq
  Debug [16/03/11 15:14:26] description
  Debug [16/03/11 15:14:26] Encrypted record already exists in the data store
  Debug [16/03/11 15:14:26] Invalid DN syntax
  Debug [16/03/11 15:14:26] operation add completed
  Debug [16/03/11 15:14:26] inside the destructive sgsladac
  Debug [16/03/11 15:14:26] update of the password failed in the child process
  Debug [16/03/11 15:14:26] inside the sgsladds::sgslperreadData
  Debug [16/03/11 15:14:26] only dataattribute
  Debug [16/03/11 15:14:26] inside the sgsladdsSearchUser
  Debug [16/03/11 15:14:26] shooting search request
  
  Debug [16/03/11 15:14:26] back Datastore
  Debug [16/03/11 15:14:26]
  About to delete the BINDING of data store after processing records
  Debug [16/03/11 15:14:26]
  Deletion of data store object pointer
  
  Any idea?
  That means DN syntax not valid?

  CN = KRKapoor, OR = oimpwdsync192.168.120.186, OR = oimpwdsynccbs.ad.cbs .net, Persistent Store, DC = cbs, DC = ad, DC = cbs, DC = net

  is supposed to be

  CN = KRKapoor, OR = oimpwdsync192.168.120.186, OR = oimpwdsynccbs.ad.cbs .net, OU = Persistent Store, DC = cbs, DC = ad, DC = cbs, DC = net