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How do you improve the performance of data flows using memory datastore? |
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Answer» You can create Datastore using memory as database type. Memory Datastore are used to improve the performance of data flows in real time jobs as it stores the data in memory to facilitate quick access and doesn’t require to go to original data source. A memory Datastore is used to store memory table schemas in the repository. These memory tables get data from tables in Relational database or using hierarchical data files like XML message and IDocs. The memory tables remain alive till job executes and data in memory tables can’t be shared between different real time jobs. |
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