Map it to a query tree Provide a simplified WHERE clause
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For the following query:
Map it to a query tree
Provide a simplified WHERE clause
Map a query with simplified WHERE clause in the above 2) to a query tree
SELECT ENAME, PNAME
FROM EMP, ASG, PROJ
WHERE (DUR > 12 OR RESP = "Analyst") AND
EMP.ENO = ASG.ENO AND
(TITLE = "Elect. Eng."OR ASG.PNO < "P3") AND
(DUR > 12 OR RESP NOT= "Analyst") AND
ASG.PNO = PROJ.PNO
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- The query optimizer constructs an initial query tree using join, selection, and projection operations. (a) True (b) FalseConsider 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).Suppose a qüery sumServ sums the quantities in the CustomerBillitem table and a query sumWaste sums the quantities in the FoodWaste table. For the purpose of summing the quantities in sumServ and sumWaste, the following query design needs: sumserv sunWaste Storeio Storeib FoodiD Foodio Sumoruantity SumorQuantity sen wastew 1) No join from servWk to wasteWk 2) A left outer join on FoodiD 31 Left outer joins on StorelD and FoodID 4) All left outer joins
- Specify the initial canonical query tree that corresponds to each query. 1) SELECT AVG(CUSTOMER.AGR) AS "AVG_AGE" FROM CUSTOMER; 2) SELECT * FROM VEHICLE WHERE V_BRAND LIKE 'L%'; 3) SELECT MEDIAN(VEHICLE.YEAR_OF_MADE) AS "MEDIAN_YEAR" FROM VEHICLE ;Draw the initial query tree for this query, then show how the query tree is optimized (one rule at a time) and write the SQL query for the final optimized query tree.What does an EXCEPT (MINUS) query care about operand order, while a UNION query doesn't?
- CREATE TABLE people (id INT NOT NULL AUTO INCREMENT PRIMARY KEY, firstname VARCHAR(30), lastname VARCHAR(30), spouse_id INT, CONSTRAINT spouse fk FOREIGN KEY (spouse id) REFERENCES people (id)); This is some sample data: +-- | id | firstname | lastname | spouse_id | 1 | Marty 2 | Jennifer 3 | Lorraine 4 | Biff 5 | George | McFly | Parker | McFly | Tannen | McFly NULL | NULL | 5 | NULL | | 3 |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 FalseIn table format, explain the distinction between hashset and treeset.
- Given the following query SELECT StudID, CourseTitle, CreditsFROM Enrollment, CourseWHERE Enrollment.CourseTitle = Course.CourseTitle ANDEnrollment.Decision = TRUE and Course.Credits > 4which of the following indexes could NOT be useful inspeeding-up the query? a) tree-based index on Enrollment.CourseTitleb) hash-based index on Enrollment.Decisionc) hash-based index on Course.CourseTitled) hash-based index on Course.Credits Can someone explain me step by step which is the correct answer and why,please?Mongodb query to find the most common name in each state. "root":{ "user_id":"XdI7w" "name": “Amy” “state”: “CA” “city”: “San-Diego” "friends": 5 }Question#1: Draw query tree for following relational queries. Also write SQL query for each relational query given. σsubject = "database"(Books) ∏ author (Books) ∪ ∏ author (Articles) σauthor = 'tutorialspoint'(Books Χ Articles) (πsName,p.pName,pa.Grade (σs.Age>25^pa.Grade=’A’ ((Student ⋈ Project_Allocation) ⋈ Project)))
