Parallel DML

Parallel execution dramatically reduces response time for data-intensive operations on
large databases typically associated with decision support systems and data
warehouses. In addition to conventional tables, you can use parallel query and parallel
DML with range- and hash-partitioned tables. By doing so, you can enhance scalability
and performance for batch operations.

The semantics and restrictions for parallel DML sessions are the same whether you are
using index-organized tables or not.

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