Suppose relations R(A,B) and S(B,C,D) are as follows S A 7 9 1 3 5 R O a. (5, 6) O b. (1, 2) B 2 4 6 8 2 B 8 6 с 1 7 9 4 9 Compute the result of the query: SELECT R.A, X FROM R. (SELECT B, SUM(C) AS X FROM S GROUP BY B) AST D 1 2345 WHERE R.B = T.B; Which of the following tuples is in the result set?
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- CONTEXT: Consider two relations R(a,b) and S(c,d) that are both horizontally partitioned across N = 3 nodes as shown in the diagram below. Each node locally stores approximately i of the tuples in R and of the tuples in S. The tuples of R are randomly organized across machines (i.e., R is block partitioned across machines) while the tuples of S are hash-partitioned on S.c. QUERY: SELECT a, avg(d) as avg FROM R, S WHERE R.b = S.c S.c %3D AND S.d > 0 GROUP BY a PLEASE SOLVE THE FOLLOWING: Assume the same query as before, only now the data is distributed on 300 servers instead of just 3 servers. We expect a linear speedup, in other words we expect the runtime to be about 100 times faster. However, if the values of some attribute are skewed, then the performance of a parallel query plan can be far from a linear speedup. Indicate with of the attributes below, if skewed, can significantly prevent your query plan from achieving linear speedup. • Skew on attribute R.a. • Skew on attribute R.b.…Implement in Python / Java Algorithm: Testing for lossless (nonadditive) join property. Input: A universal relation R, a decomposition D = { R1, R2, R3, ….. Rm } of R, and a set F of functional dependencies. 1. Create an initial matrix S with one row i for each relation in Ri in D, and one column j for each attribute Aj in R. 2. Set S(i, j) := bij for all matrix entries. (* each bij is a distinct symbol associated with indices (i, j) * ) {for each column j representing attribute Aj {if (relation Ri includes attribute Aj ) then set S(I, j):=aj;};}; (* each aj is a distinct symbol associated with index (j) *) 3. For each row i representing relation schema Ri {for each functional dependency X → Y in F {for all rows in S which have the same symbols in the columns corresponding to attributes in X {make the symbols in each column that correspond to an attribute in Y be…List all the ordered pairs in the relation R = {(a, b) | a divides b} on the set {1, 2, 3, 4, 5, 6, 7, 8}.
- How to code in Python or Java below Algorithm # 10 General Algorithm for Testing Loosless Join DecompositionInput: A universal relation R, a decomposition D={R1,R2,...Rm}of R , and a set F of functional dependencies.1. Create an initial matrix S with one row for each relation Riin D, and one column for each attribute Aj in R.2. Set S(i,j)= bij for all matrix entries.( Note that each bij isa distinct symbol associated with indices (i,j) ).3. For each row i representing relation schema RiFor each column j representing attribute AjIF the relation Ri includes attribute Aj then set S(i,j)= aj.( Note that aj is a distinct symbol associated with index j)4. Repeat the following loop until a complete loop execution results in no changes to SFor each functional dependency X→Y in FFor all rows in S that have the same symbols in the columns corresponding toattributes in X.Make the symbols in each column that correspond to anattribute in Y be the same in all these rows as follows:▪ If any of the…1 43 1112 41 42 32 Example Output 4 2How to code in Python or Java below Algorithm # 10 General Algorithm for Testing Loosless Join DecompositionInput: A universal relation R, a decomposition D={R1,R2,...Rm}of R , and a set F of functional dependencies.1. Create an initial matrix S with one row for each relation Riin D, and one column for each attribute Aj in R.2. Set S(i,j)= bij for all matrix entries.( Note that each bij isa distinct symbol associated with indices (i,j) ).3. For each row i representing relation schema RiFor each column j representing attribute AjIF the relation Ri includes attribute Aj then set S(i,j)= aj.( Note that aj is a distinct symbol associated with index j)4. Repeat the following loop until a complete loop execution results in no changes to SFor each functional dependency X→Y in FFor all rows in S that have the same symbols in the columns corresponding toattributes in X.Make the symbols in each column that correspond to anattribute in Y be the same in all these rows as follows:▪ If any of the…
- Let R1 and R2 be the relations on {1, 2, 3, 4} given by 6. R, = {(1,1), (1,2), (3,4), (4,2)} R, = {(1,1), (2,1), (3,1), (4,4), (2,2)}. (i) List the elements of R, R, and R, UR,. (ii) Represent digraphs for R1 and R2.Construct “Normalize Attribute Connection Graph” for the given SQL statement and tell by formula whether query is logically true or not? Select Name, Age, Date from Employee where Name > ‘A’ and BPS < 14 and City=’RWP’ and Age < 39 and BPS > 20 and Salary>50000 and Age < 35 Select a, b, c from Books where a > 10 AND b = ‘Nothing’ AND c < 55 AND d>55 AND a > 8 and c > 65 and d<60. Note...This is a Distributed Database Question....So please give me a correct ansDefine relations R₁,..., R6 on {1, 2, 3, 4} by R₁ = {(2, 2), (2, 3), (2, 4), (3, 2), (3, 3), (3,4)}, R₂ = {(1, 1), (1, 2), (2, 1), (2, 2), (3, 3), (4,4)}, R3= {(2, 4), (4, 2)}. R4 = {(1, 2), (2, 3), (3,4)}, R5 = {(1, 1), (2, 2), (3, 3), (4,4)}, R6 = {(1, 3), (1,4), (2, 3), (2, 4), (3, 1), (3, 4)}, Which of the following statements are correct? Check ALL correct answers below. A. R3 is transitive B. R4 is antisymmetric C. R5 is transitive D. R₁ is reflexive E. R4 is transitive F. R5 is not reflexive G. R₂ is not transitive H. R4 is symmetric I. R3 is reflexive J. R₂ is reflexive K. R3 is symmetric L. R₁ is not symmetric M. R6 is symmetric
- You are given a sequence of integers A1, A2,..., AN. You should process Q queries. In each query: • You are given two integer parameters id and v. Change the value of Aid to v. Then, consider all ways to partition the sequence A1, A2,..., AN into multisets M1, M2,..., MK (for an arbitrary K > 1) such that: o Each element of A is assigned to exactly one multiset. o The medians of all multisets are the same. • Find the maximum possible value of K, i.e. the maximum number of multisets in such a partition. The median of a multiset is defined as follows: Consider the multiset as a sequence sorted in non-decreasing order. If its size is odd, the median is the middle element. If it is even, there are two integers in the middle and the median is the smaller one (either one if they are equal). Note that a multiset may contain duplicate elements, so if x elements of A with identical values are assigned to the same multiset, that multiset will contain the same integer a times.In the recurrence relation f(n)=af(n/b)+g(n), the size of subproblem is n/b. True FalseTrue or False ??? Let R, S and Q fuzzy relations, the (RAS) Q2(R Q)^ (S Q). are