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The data in LOAD is published to SALES “at the flick of a switch”.

Typically, the exchange step looks like this: Operationally, this approach is more complex than inserting data directly into SALES but it offers some advantages.

This post covers how you can manage optimizer statistics efficiently when you use partition exchange load (PEL).

This technique is used when large volumes of data must be loaded and maximum performance is paramount.

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There are people with hidden motives who will practice their intentions by engaging you in chat and eventually gain your trust so that they can milk money out from you.The performance benefit is especially impessive if data is loaded at very high rates in parallel.The exact steps you need to execute for a partition exchange load will vary depending on the type of partitioning you use, whether there are local or global indexes on the table and what constraints are being used.It’s common to see it used in decision support systems and large operational data stores.Make sure you’ve taken a look at Part 1, or you are at least familiar with the concept of incremental statistics so that you know what a synopsis is in the context of a partitioned table.

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