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Question

How does database cracking achieve concurrency control for adaptive indexing during read queries?

a.

By locking entire columns during query processing.

b.

By using heavyweight database locks.

c.

By allowing multiple queries to work on different pieces of a column simultaneously.

d.

By avoiding concurrent access altogether.

Posted under Big Data Computing

Answer: (c).By allowing multiple queries to work on different pieces of a column simultaneously. Explanation:Database cracking achieves concurrency control for adaptive indexing during read queries by allowing multiple queries to work on different pieces of a column simultaneously. This is done to enable parallelism while maintaining the adaptive behavior of database cracking.

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Q. How does database cracking achieve concurrency control for adaptive indexing during read queries?

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