adplus-dvertising
frame-decoration

Question

What is the primary benefit of NoDB's selective parsing approach when dealing with queries that involve multiple filtering conditions?

a.

It performs parsing and tokenizing for all attributes in each row.

b.

It abandons rows as soon as any filtering predicate fails, avoiding significant parsing costs.

c.

It fully loads all data before parsing, reducing overhead.

d.

It applies all filtering predicates sequentially, increasing parsing efficiency.

Posted under Big Data Computing

Answer: (b).It abandons rows as soon as any filtering predicate fails, avoiding significant parsing costs. Explanation:The primary benefit of NoDB's selective parsing approach is that it abandons rows as soon as any filtering predicate fails, thereby avoiding significant parsing costs for rows that do not meet the filtering conditions.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is the primary benefit of NoDB's selective parsing approach when dealing with queries that involve multiple filtering conditions?

Similar Questions

Discover Related MCQs

Q. What is the purpose of the positional map index in NoDB?

Q. When does performance in NoDB reach optimal levels with respect to indexing a raw file?

Q. In NoDB, what caching policy is used for cache replacement?

Q. Why does NoDB prioritize caching integer attributes over string attributes?

Q. How does NoDB handle the generation of statistics when using adaptive loading?

Q. What is the purpose of NoDB's text cracking?

Q. What is the main benefit of the data vaults project in the context of scientific data management?

Q. In the data vaults project, what is used to guide queries to the proper files and transform only the needed data on-the-fly?

Q. What does adaptive loading aim to achieve in the context of data management?

Q. What is the main idea behind the Sciborg approach to query processing?

Q. In Sciborg, how are samples of data created and organized?

Q. What is the primary goal of the Sciborg approach to query processing?

Q. What is the main benefit of the Sciborg approach to query processing?

Q. In Sciborg, what drives the creation of weighted samples?

Q. Which type of query processing does Sciborg prioritize?

Q. What is the trade-off made in the Sciborg approach to query processing?

Q. What is a characteristic of the Blink project?

Q. What is a common vision shared by both the Blink and Sciborg projects?

Q. How does the one-minute database kernels approach differ from other exploration-based database kernel ideas?

Q. What is one of the main challenges associated with the one-minute database kernels approach?