In a distributed database system, how would you approach query optimization to minimize network latency and improve overall performance?
- Implement only vertical partitioning, Optimize queries centrally, Decrease node communication, Disable encryption on the network
- Implement sharding and partitioning, Use asynchronous communication, Optimize queries locally on each node, Increase the bandwidth of the network
- Increase network latency intentionally, Use only synchronous communication, Disable query caching, Randomly distribute data across nodes
- Use a single centralized database, Minimize the number of nodes, Decrease the network bandwidth, Increase the size of each query
In a distributed database system, optimizing queries involves implementing sharding, partitioning, and using asynchronous communication to minimize network latency. Optimizing queries locally on each node is essential for efficient distributed query processing.
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