RFC is used to communicate between SAP systems and SAP to Non-SAP systems using TCP/IP protocol.  RFC’s are defined in [SM59]. There are 4 types of RFC’s

1. Asynchronous RFC
2. Synchronous RFC
3. Transactional RFC
4. Queue RFC

1. Asynchronous RFC – (Like a post card). The sending system may or may not receive it. i.e. there is no acknowledgement from the receiving . The transmission is not reliable.

2. Synchronous RFC – It is not like ARFC. It gets an acknowledgement from the target system. (like a register post).
If the receiving system is not available the process goes into RFC/ CPIC/ Sleep mode and waits until it is wakened by the target system. Target system/ Receiving system may be busy i.e. all the resources are used up. This is reliable but time consuming and expensive (Client Copy) the job should get finished.

Note: SAP uses CPIC protocol SAP specific (Common Programming Interface for Communication) to communicate between system.

3. Transactional RFC – TRFC – It is an advanced version of ARFC and SRFC. The request goes to receiving system if it is not handled a Transaction ID is generated by the source system. A program RSARFCSE is scheduled in the background to run for every 60 seconds. Transaction SM58 is used for Transactional RFC. It is used to document all the transactional ID’s and ensure that they are received by the recipient system. This is consistence and reliable.

4. Queued RFC – It is an advanced version of TRF and ensures that the transaction is committed based on FIFO/ Queue. It ensures transaction consistency of LUW and reliability of data transmission.
SMQ1 – to monitor the outbound queues of a sending system refer SCOTT for FAX…
SMQ2 – Provides interface to monitor Inbound queues.

Here are the steps required to create a table in SAP ABAP.

Step 1: Go to transaction SE11 and input a table name.

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You can navigate to the ABAP Editor through the Menu. You can also create favorites for certain transactions and put it into your custom menu. You can type SE38 from anywhere in the SAP environment to redirect you to the ABAP editor (must come out to a Area Menu or prefix transaction code with /n). Tools such as the Function Builder, Data Dictionary, Screen Painter and Menu Painter are integrated to the ABAP editor and you can navigate to the Editor and load the corresponding program by double-clicking on a program name on a Program field. The ABAP Editor can be used to create Programs of different types (Module Pool, Report, Include, Subroutine Pool, etc.) Continue Reading …

The ABAP Workbench is the integrated development environment available in SAP which allows for users to maintain ABAP objects such as Programs, Screens, Menus, Dictionary Objects (such as Tables, Views, Structures, etc.), Messages, and other objects which aid in the development and enhancement of the SAP environment.

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A program with the right functionality and smartly written, but with poor performance will not satisfy the client requirements. Business programs usually handle huge amounts of data. ABAP programs in SAP implementations are not an exception to this, and they need to give the user acceptable response times before they can be delivered to the client. Therefore, every developer should pay special attention to performance when building programs. Although too many times the development environment will not have an adequate data volume (and nearly always not as in real productive systems), there is always a lot that can be done to deliver good programs from a performance standpoint.

Database accesses are probably the first focus point; wrong sentences searching records in tables may lead to extremely poor response times, and this needs to be taken care of. However, there is another important area to bear in mind, which is forgotten more often that it could be thought: data processing within the program. This white paper, oriented to developers and technical designers, will explain an amazing alternative way of processing data (applicable when handling together header and position records) that will give great response times, making it possible to build complex programs that need to process big amounts of data in an acceptable time and achieving customer satisfaction. Continue Reading …