Intro For a very long time, I was fascinated by the idea of shared memory. It seemed to be the answer for all performance issues (at least database related), and I tried to find any suitable situation where I could apply (and learn about) shared memory. However, most of the times, the situation was easily fixed by turning table buffering on, or simply by creating an internal memory buffer, which would pretty much fix any performance issues and make it quite fast. Ok, the proposition of using shared memory to try and reduce replication of data in application memory was an interesting one, but not strong enough to make me use it where it would not have a noticeable impact on performance. But alas, finally I came across a requirement where shared memory was the only, suitable solution for a significant performance issue. And the “issue” I found was in class /TMWFLOW/CL_CM_CONFIG in Solution Manager 7.2, method TRANSP_TRACK_CALCULATE_SINGLE. I’m not an expert, but apparently this retrieves information about the entire transportation routing for your landscape. At my company, we have a central development system feeding quite a few systems, each of them with multiple clients, and since we are talking about RFC connections, this was taking a lot of time. Exactly how much time? Well, roughly one minute. Each time a developer wanted to create a transport request, he/she had to wait one minute until it was finally available in the development system. All because the transport route was recreated each time. So finally, after a long time searching for a use case for shared memory, I thought… oh my, this would really be the perfect situation for shared memory. A landscape doesn’t change very often. I can store this information, for example, once a day, save it, and avoid this waiting for all the other requests during this day. Creation of the shared memory object Attributes of the root class We basically need 2 methods. One to read the data, and one to store the data. When we read the data, we also check when it was last changed, and if it changed too long ago, we have to invalidate the shared memory object. Method to read the data Method to save the data The broker class was generated like so. Broker class generation Notice that we are not selecting the “Transactional Area” option, as this does not represent a database table. I’ll show you now how I coded the “BUILD” method in the root class, even though this normally is the last step of the show. The interesting part here, and different from the usual application for shared memory, is that we are not reading database information, so the “BUILD” method will, apparently, simply have the necessary steps for creation/instantiation of the shared memory object, but will not really load any data in it, as of yet. We can call the method to load the data independently, in our coding. “BUILD” method Using the shared memory object in the coding So now our task is clear. When the method to “calculate” the transport track is called, we want to check if we already have the information saved in memory. If not, we want to let it calculate this information and store it at the end. So I basically used the implicit enhancement points at the beginning and end of methods to implement this. Here’s the coding at the top, to check if the information is already stored in memory. Accessing the data in the memory object As you can see, I had to use some “gimmick” exporting parameters to get some information on whether the information I wanted had been found or not. Looking at it now, I have the impression that it should be enough to check if there’s information in the variables, but if I didn’t do it that way there must be some obscure reason that I don’t remember at the moment. I remember that this was extremely sensitive with the “attach” and “detach” topics. For example, if you attach it to read but you try to write, or you attach it to write but you don’t try to write, it doesn’t like it much. And finally, how to insert the data, if it was not saved already. Storing the information you want to save Parting words And there you have it. This should be enough to help you implement a shared memory solution for a similar situation. Do you have something that is expensive to calculate, because it requires many RFC connections, or a lot of calculating power, do you need this result often, but is it ok to store this information daily or so? Well, maybe you can use exactly this solution for it. Otherwise, do you have any constructive criticism you would like to add? Would you have solved it differently? Let me know! Oh and how much time is it taking to create a transport request now? One minute the first time in the day, 1 second for the remaining times.