Q. What is the purpose of partial cracking in column-store systems?

View solution

Q. How does partial cracking manage storage space for cracking columns?

View solution

Q. How does cracking handle updates to the data?

View solution

Q. What is the purpose of the auxiliary delete and insert columns in cracking?

View solution

Q. How does cracking manage merging pending updates into cracking columns?

View solution

Q. What is the primary motivation for the introduction of adaptive merging as a complementary technique to cracking?

View solution

Q. How are data handled in adaptive merging after they are sorted in memory with a quicksort action?

View solution

Q. What happens if a query in adaptive merging is fully covered by the results column?

View solution

Q. How does adaptive merging improve over plain cracking in terms of convergence speed?

View solution

Q. What is the main advantage of the crack-sort hybrid compared to other hybrid algorithms?

View solution

Q. How does the performance of cracking depend on the arrival order of queries?

View solution

Q. What problem does stochastic cracking aim to solve?

View solution

Q. How does stochastic cracking work to reduce the chances of leaving back big uncracked pieces?

View solution

Q. Why is concurrent access to data challenging in the context of database cracking?

View solution

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

View solution

Q. In the context of adaptive indexing during read queries, what remains intact even when data organization changes?

View solution

Q. What is the advantage of using latching for concurrency control in adaptive indexing?

View solution

Q. Why is data loading considered a necessary step when setting up a database system?

View solution

Q. What is one of the significant costs associated with data loading in a database system?

View solution

Q. In the context of Big Data, what challenge does data loading create?

View solution