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In general, the relative performance improvement of specifying As your database grows in size, consider using table compression.

Compression saves disk space, reduces memory use in the database buffer cache, and can significantly speed query execution during reads.

Compression has a cost in CPU overhead for data loading and DML.

However, this cost might be offset by reduced I/O requirements.

Parallelizing table creation is discussed in the section "Parallelizing Table Creation". If you cannot afford to lose the table after you have created it (for example, you will no longer have access to the data used to create the table) you should take a backup immediately after the table is created.

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