1/9/2023 0 Comments Sap data extractor![]() Now, logically there are a few possible solutions: It does not mean, you server or VM running SAP is not capable, it just that you have restricted SAP application instance to restrict the memory. This obviously means, you are extracting a way too much data that your SAP application with current memory configuration can handle. This message also generated the short dump (ST22) in the SAP system. If you run a transaction ST22 in SAP application, you can see below error indicates SAP memory allocation to user is not enough. , stacktrack: at .ThrowRfcErrorMsg() at .ReadBytes(Byte* buffer, Int32 count) at .ReadRfcIDBegin(Int32& length) at .ReadUpTo(RFCGET readState, RfcFunction function, RFCID toRid) at .RfcReceive(RfcFunction function) at .RfcDeserialize(RfcConnection conn, IRfcIOStream stream) at .RfcCallReceive(RfcConnection conn, IRfcIOStream stream, RFCID rid) at .Invoke(RfcDestination destination) at .SapRfcClient.InvokeFunctionInternal(IRfcFunction function, Boolean initStatefulSession, Boolean checkForErrors) at .c_Displa圜lass1.b_0() at .ExecuteAction(Func`1 func) at .SapRfcClient.InvokeFunction(IRfcFunction function, Boolean initStatefulSession, Boolean checkForErrors).,Source=,''Type=,Message=No more memory available to add rows to an internal table.,Source=sapnco,' Operation on target Copy_z0z failed: 'Type=.HybridDeliveryException,Message=Failed to invoke function /SAPDS/RFC_READ_TABLE2 with error:, message: No more memory available to add rows to an internal table. ![]() In the recent customer engagement, we learned that while creating ADF Pipeline and transferring data, the following error occurs on a specific table. ADF SAP Table Runtime – Compile the partition queries/Trigger the SAP connection/calls/Wash the data/put the data into the downstream ADF runtime/sinks.The SAP RFC Function module (/SAPDS/RFC_READ_TABLE2 or custom one).The SAP table depends on three layers of implementation: In this bog, we focus on memory error during data extraction from SAP using Azure Data Factory SAP Table connector. ![]() You can read more about these connectors, when to use which one, support scenarios and more details here. When we think about enterprise systems, SAP play a major role.ĪDF has six different connectors to integrate with your SAP systems. ADF provides more than 90 out of the box connectors to integrate with your source and target system. Memory errors during data extraction from SAP using Azure Data Factory SAP Table connectorĪzure Data Factory (ADF) is a fully managed data integration service for cloud-scale analytics in Azure.
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