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In this level, one transaction may read not yet committed changes made by other transaction, thereby allowing dirty reads. Read Uncommitted – Read Uncommitted is the lowest isolation level.Hence as shown above from 3rd book onwards the titles will be listed. Hence the entire query will list out the title of a book when the count is less than 5. For the 7th book (B.price = 125) Inner query gives count =0.For the 6th book (B.price = 115) Inner query gives count =1 (125).For the 5th book (B.price = 105) Inner query gives count =2 (115,125).T.price > B.price is evaluated for every B.price. For each title the inner query will be evaluated.įor every selected book, the subquery will return the count of books which are more expensive than the selected book. The outer query selects all titles from book table.
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Natural join will return the table with 4 tuples. Now when we apply natural join on S and T, it matches for the common attribute(Department) in both tables and outputs the common tuples.įinal query : outer query will be executed now (select Employee, Department from Overtime_allowance) as S natural join (select Department, OT_allowance from Overtime_allowance) as T) Table S Table T Employee Department Department OT_allowance Select count(*) from ((select Employee, Department from Overtime_allowance) as S natural join (select Department, OT_allowance from Overtime_allowance) as T) SELECT * FROM Student S NATURAL JOIN Marks M The resulting table will contain all the attributes of both the table but keep only one copy of each common column.įor example consider the below two tables : Natural Join joins two tables based on same attribute name and datatypes. Incase If R has duplicates in that case due to DISTINC keyword in query will eliminate duplicates in FINAL result So results in query !=R which is discussed in option(A) Option(D) : R and S have the same number of tuples S has no duplicate means we can relation "S" as Empty which is discussed in option(B) Option(C) : S has no duplicates and R is non-empty Incase Relation "S" is Empty then RXS becomes empty So, Relation "S" must be non-emptyĪssume Relation ''S' is Empty which has no duplicate values then RXS becomes empty So, Relation "S" must be non-empty Incase If R has duplicates in that case due to DISTINC keyword in query will eliminate duplicates in FINAL result and the results in query !=R Option(A):R has no duplicates and S is non-empty If S is empty RXS becomes empty, so S must be non empty.
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Since we have distinct in query, result can be equal to R only if R doesn’t have duplicates.