Consider the queryselect A, Bfrom rwhere r.B < some (select Bfrom swhere s.A = r.A)Show how to decorrelate this query using the multiset version of the semi joinoperation.
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Consider the query
select A, B
from r
where r.B < some (select B
from s
where s.A = r.A)
Show how to decorrelate this query using the multiset version of the semi join
operation.
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- There's a "friend_requests" table that has a column "action_taken" that displays if the friend request was rejected, requested, or accepted.Implement a SQL query to return the percentage of "action_taken" that were "accepted".Consider the query:select *from r, swhere upper(r.A) = upper(s.A);where “upper” is a function that returns its input argument with all lowercaseletters replaced by the corresponding uppercase letters. Some database systems would use a (block) nested-loop join for this query, which can be very inefficient. Briefly explain how hash-join or merge-join can be used for this query.Grace hash join is usually the best algorithm for joins in which the join condition includes an inequality (i.e. col1 < col2). Group of answer choices True False
- Define the difference between hashset and treeseet in table format.There's a "friend_requests" table that has a column "action_taken" that displays if the friend request was rejected, requested, or accepted.Implement a SQL query to return the number of "action_taken" that were "accepted".Building #11 is undergoing a major renovation. Implement a query to close allrequests from apartments in this building.
- Try switching the joins pthread_join(tid2, NULL); pthread_join(tid1, NULL); Do you see any difference? Please report if and why you do or do not see any difference in terms of the randomness in the result of the shared resource. In the inc_dec_resource() function, implement mutual exclusion (pthread_mutex_lock) to ensure that the result becomes 0 every time when you execute your program. Put your updated code in the report (highlighted) and show your screenshot of the execution by running the script three time using $ time ./shared_resource_mutex. Hint: Your loop is incrementing/decrementing the resource which should be protected by each thread while it is executing that portion. #include <stdio.h> #include <pthread.h> #define iterations 300000000 long long shared_resource = 0; pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER; // Thread function to modify shared resource void* inc_dec_resource(void* arg){ //get the pointer from main thread and dereference it…Try switching the joins pthread_join(tid2, NULL); pthread_join(tid1, NULL); Do you see any difference? Please report if and why you do or do not see any difference in terms of the randomness in the result of the shared resource. In the inc_dec_resource() function, implement mutual exclusion (pthread_mutex_lock) to ensure that the result becomes 0 every time when you execute your program. Put your updated code in the report (highlighted) and show your screenshot of the execution by running the script three time using $ time ./shared_resource_mutex. Hint: Your loop is incrementing/decrementing the resource which should be protected by each thread while it is executing that portion. /* Compile: gcc -o shared_resouce_mutex shared_resource_mutex.c -lpthread Execute: ./shared_resource_mutex */ #include <stdio.h> #include <pthread.h> #define iterations 300000000 long long shared_resource = 0; pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER; // Thread function to…Consider the query:select *from r, swhere upper(r.A) = upper(s.A);where “upper” is a function that returns its input argument with all lowercaseletters replaced by the corresponding uppercase letters. Find out what plan is generated for this query on the database system you use.
- Consider the following SQL Query: SELECT FNAME, DNAME FROM EMP AS E, DEPT AS D WHERE E.DNO = D.DNUMBER AND D.DNAME='CCI' AND SALARY > 15000; Draw the initial query tree for the above SQL query, and then show how the query tree is optimized by applying the Heuristic Rules. (You need to show the tree after applying a rule).Want hand written solutionHow does range partitioning perform in case of range query and point query? Compare it with round-robin partitioning.
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