How does partition pruning contribute to query optimization in a partitioned database?
- Adds additional partitions to the query for parallel processing
- Eliminates irrelevant partitions from the query execution
- Merges multiple partitions into a single partition for improved query performance
- Randomly selects partitions for query execution
Partition pruning contributes to query optimization by eliminating irrelevant partitions from the query execution process. This means that the database engine can skip unnecessary partitions, reducing the amount of data to be processed and improving query performance. This is especially crucial in large partitioned databases.
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