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From there you use the transport routes established for your SAP system landscape to distribute the SAP Packs product components as shown in Figure When you create a package, you assign a transport layer. All objects in this package are transported according to the transport routes defined for this transport layer. Work with your SAP basis administrator to get the correct transport layer for your environment. Include all objects that you want to transport and save the new request. Then release the transport in transaction SE Those settings include the maintenance of logical systems, partner profiles, ports and RFC destinations.
If these components are missing or are not configured correctly, such as an RFC destination that is used for communication with more than one job, this will lead to a failure of the job in the best case or some strange behavior that requires cumbersome investigation. So it is important to be aware of these additional components that need to be set up in all the environments where the respective DataStage jobs are supposed to run, and to make sure you have a process in place to distribute the components themselves, as well as changes to the SAP-side setup to prevent cumbersome error analysis.
The required partner profiles and ports can be generated from a distribution model. A distribution model describes which IDoc types may be sent from a specific source system to specific target systems. The distribution model itself can be distributed by means of STMS via a transport request. Details can be found in the SAP documentation located in the Resources section.
RFC destinations on the other hand must be set up on each system. There is no mechanism in place that helps with the distribution of RFC destinations. However, for the ABAP stage, a function is provided that, if enabled, creates a RFC destination at runtime before each job run, and cleans it up after the job finishes successfully.
This way you can make sure that the required unique RFC destination is available in every environment without having to worry about distribution. This is a very convenient way for the developer to ensure that the SAP-side components are in place. But it might not be desirable, depending on the security policies of the respective company using this function, due to security concerns as the user running the DataStage job must be assigned the privileges required to create and delete RFC destinations. In general, the ABAP stage provides two upload mechanisms at design-time.
The following section discusses how you can apply these options to distribute the ABAP reports across your SAP landscape using the following approaches:. It is recommended that you use the CTS upload for this task. If you do not use the CTS option for uploading the generated ABAP program, it will not be assigned to a package, and as a result, is not connected to the SAP transport management system for further distribution.
In this case, you can still assign a package to an uploaded ABAP program, but you would have to do that manually in the ABAP workbench se80 after the upload. The disadvantage of this approach is that it requires manual work by the members of the SAP Basis Administration team. If there are a lot of jobs using the ABAP stage this approach requires a lot of manual effort. While technically this is an option, it is not a recommended distribution approach. This requires that the Designer Client is installed in all environments, as well as in testing and production, and that the job designs not just the compiled job must be propagated to all environments.
In addition to the fact that you have to manage many copies of the same job design, one in each environment, this setup allows the direct upload of changed or even new and possibly untested ABAP code to testing and production systems.
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For the distribution of Information Server artifacts, there are best practices in place that will not be discussed in detail in this article. For the DataStage jobs, it is a best practice to have the Designer Client only installed in the Sandbox and Development environment, so from there only the compiled DataStage jobs are propagated to the test and production environments instead of propagating the job designs. The advantages of this approach are the following:. You can use the InfoSphere Information Server Manager and the istool commands see the Resources section to package DataStage jobs and deploy them across your environments.
Once a package is defined, it can be rebuilt and redeployed to distribute the changes to the DataStage jobs assigned to the package. Version tags help with the management of different package versions. When configuring the package you can specify that only the job executables should be added to the package, not the job designs.
This way you can make sure that only the job executables are distributed, but the job designs are kept in the development environment. When thinking about the customization of the authorization profiles you should consider the following:. Review the first article located in the Resources section for detailed information on which authorizations are needed for certain function, stage, and phase of the DataStage job life cycle. The design-time privileges are required for the environment where the Designer Client is set up.
The authors would like to thank their colleagues Albert Maier, Oliver Suhre, and Stevan Antic for their valuable feedback and comments improving this article. Sign in or register to add and subscribe to comments. United States. What are the various limitations of Central Finance and how do we get around them?
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To enable the Intelligent Enterprise, beyond developing tools and solutions for real-time With the For more information and to change the setting of cookies on your computer, please read our Privacy Policy. What is the process for posting the documents? For the below SAP releases 4. For details, refer to the link here. There are some exclusions such as networks, replication of changes in master data and customer enhancements, planning, budgeting etc. We recommend carrying out any master data changes in the source system.
Also, planning, budgeting, settlement and results analysis needs to be performed in the source system. We recommend in such a case to delete the data in CFIN directly. For details, refer link here.
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During CO document replication, CO document line items posted on reconciliation objects will be replaced by PA segments in central system. PA segment is generated from characteristics brought from source system. In SAP standard, only FI document lines items which are posted to a profitability segment in the source system will be posted to a profitability segment in the target system.
Other postings that do not have a profitability segment, for example goods issues, related attributes, such as sales order and sales area, will not be available in the replicated posting and will also be missing from the resulting ACDOCA line items. Document splitting — Document splitting can be activated and handle basic splitting rules in the target system. This is not fully supported by SAP yet and it depends on the customer-specific requirements to how much extent it can work.
We recommend to factor in custom developments in the project plan to make it work. Asset accounting — the asset accounting subledger replication is not supported yet in CFIN; replication in CFIN is only general ledger postings currently as at However, a good workaround to consider here moving the operative process from source to target; direct capitalisation could move to CFIN; indirect capitalisation project settlement and capitalisation could be stopped in the source system and moved instead to target.
Settlement rules — Settlement rules assigned to cost objects are not replicated but they can be directly created in CFIN. What are our key lessons learnt from our experience? Some organisations are choosing to undertake a proof of concept PoC to help develop the business case and the programme plan and roadmap for the full implementation.
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This also allows the validation of key data mappings and the target reporting model. This generally requires a small but highly experienced team. Understand the potential source system impact. There is an impact on source systems too; the application of a, sometimes substantial, number of OSS notes see OSS note We need to start this activity early and factor in the basis effort and the regression testing effort in source systems.
Understand the target reporting and data model. CFIN allows us to be creative in mapping and transform data to the target data model. User fields can be extended in source system and then replicated in target or they can be directly added in the target system as well.