The following two relations R and S have one attribute storing integers. Assume that a join is performed on this attribute. R = { 4, 3, 1, 6, 2, 9, 0, 5, 8, 7 }S = { 3, 4, 5, 8, 0, 2, 1, 6, 7, 9} Show the order of tuples output for the following join algorithms: (for example Sort Join would give (0,0), (1,1),...,(9,9) )

The following two relations R and S have one attribute storing integers. Assume that a join is performed on this attribute. R = { 4, 3, 1, 6, 2, 9, 0, 5, 8, 7 }S = { 3, 4, 5, 8, 0, 2, 1, 6, 7, 9} Show the order of tuples output for the following join algorithms: (for example Sort Join would give (0,0), (1,1),...,(9,9) )

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Determine if the sequence a = 1 is a solution of the recurrence relation a == 3a n n n-1 Show your work on paper, digitize it and upload the file using the button below. Attach File Browse Local Files Browse Content Collection Browse Dropbox + 4a n-2
Assume a hash table utilizes an array of 13 elements and that collisions are handled by separate chaining. Considering the hash function is defined as: h(k)=k mod 13. i) Draw the contents of the table after inserting elements with the following keys: 36, 243, 261, 180, 217, 180, 21, 16, 182, 202, 91, 97, 166, 78, 33, 70, 51, 58.
Implement the following Racket functions: Transitive? Input: a list of pairs, L. Interpreting L as a binary relation, Transitive? returns #t if L is a transitive relation and #f otherwise. Examples: (display "Transitive? \n") (Transitive? '((a b) (b c) (a c))) ---> #t (Transitive? '((a a) (b b) (c c))) ---> #t (Transitive? '((a b) (b a))) ---> #f (Transitive? '((a b) (b a) (a a))) ---> #f (Transitive? '((a b) (b a) (a a) (b b))) ---> #t (Transitive? '())---> #t
Suppose you need to sort relation r using sort—merge and merge—join the result with an already sorted relation s.The same idea is applicable even if both inputs to the merge join are the outputs of sort—merge operations. However, the available memory has to be shared between the two merge operations (the merge—join algorithm itself needs very little memory). What is the effect of having to share memory on the cost of each sort-merge operation?
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. 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.
Which ADT table implementations performs better on the average if the retrieve operation is the major operation of the applications, balanced binary search tree or hash table? Why? Which ADT table implementations is most appropriate if the application requires every single retrieve operation to be done efficiently, balanced binary search tree or hash table? Why? (Think of an emergency system that cannot allow an unpredictable delay from any single retrieval.)
Please written by computer source Attached is the pseudocode for the Merge algorithm. When this algorithm is called with Merge (A, 1, 4, 8) with A = (4, 6, 8, 9, 2, 5, 10, 12), how many times does line 15 execute? How many times does line 17 execute? How many times does line 22 execute? How many times does line 26 execute?
Write Algorithm for Ordered weighted aggregation.OWA(M,W)in: sequence of membership values M; sequence of weights Wout: aggregated result
What's the difference between a grouped index and a sparse index, and how do you make one?
Explain the collision resolution techniques used in hash tables when dealing with key collisions in dictionaries.
SQL Suppose we are given a view tot credits (year, num credits) giving the total number of credits taken by students in each year.The query that computes averages over the 3 preceding tuples in the specified sort order is