Distributed query processing involves both local and global optimization,so there are more access plans to choose from in distributed query processing than in centralized query processing.

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Distributed query processing involves optimizing queries at both the local and global level, taking into account factors such as network latency, data distribution, and data replication. This results in a larger number of possible access plans to choose from, making distributed query processing more complex, but potentially more efficient than centralized query processing.

Distributed Query Processing Involves Both Local and Global Optimization,so There