1. CSI 3317 (LAB 2) Data Manipulation Language

2. Working With Database INSERT INTO location VALUES (53, 'ADMN', '424', 1); INSERT INTO location VALUES (54, 'ADMN', '402', 1); INSERT INTO location VALUES (45, 'SITE', '101', 150); INSERT INTO location VALUES (46, 'SITE', '202', 40); INSERT INTO location VALUES (47, 'CBY', '103', 35); INSERT INTO location VALUES (48, 'SITE', '103', 40); INSERT INTO location VALUES(49, 'ADMN', '105', 42);

3. Data Manipulation Language SELECT [DISTINCT | ALL] {* | [AS ]] [,..]} FROM [WHERE ] [GROUP BY ] [HAVING ] [ORDER BY ] Groups are those rows with the same Column Values Only SELECT and FROM are mandatory

4. Data Manipulation Language Select all rows and all columns: SELECT * FROM location; Calculated Fields: SELECT locid, bldg_code, room, capacity/2 AS ExamCapacity FROM location; List all rooms whose capacity is greater than 30 SELECT locid, bldg_code, room, capacity FROM location WHERE capacity > 30;

5. Data Manipulation Language List all rooms whose capacity is greater than 30 and is located in administration building SELECT locid, bldg_code, room, capacity FROM location WHERE (capacity > 30 AND bldg_code = ‘ADMN’); List all rooms whose capacity is between 30 and 50 and are in SITE building. SELECT locid, bldg_code, room, capacity FROM location WHERE (capacity BETWEEN 30 AND 50) AND (bldg_code = ‘SITE’);

6. Data Manipulation Language List all SITE and CBY rooms (Use Set Membership) SELECT locid, bldg_code, room, capacity FROM location WHERE bldg_code IN (‘SITE’, ‘CBY’);  Can also use NOT IN, e.g NOT IN (‘ADMIN’);

7. Data Manipulation Language Find all rooms with string ‘C’ in their Building code SELECT locid, bldg_code, room, capacity FROM location WHERE bldg_code LIKE ‘%C%’; Regular expression can be made using % = zero or more chars or _ (underscore) any character, example ‘%K_____%’

8. Data Manipulation Language List all rooms in order of their Building Code and their room numbers SELECT locid, bldg_code, room, capacity FROM location ORDER BY bldg_code, room ;

9. MULTI-TABLE QUERIES LOCIDBLDG_CODEROOMCAPACITY 45SITE101150 46SITE10240 47CBY10335 48SITE10340 49ADMN10542 53ADMN4241 54ADMN4021 FIDFLNAMEFFNAMEFMILOCIDFPHONEFRANKFPIN 1CoxKimJ53 7155551234 ASSO1181 2 Blanchard JohnR 54 7155559087 FULL1075 3WilliamsJerryF56 7155555412 ASST8531 4PerryLauraM55 7155556409 INST1690 5BrownPhillipE57 7155556082 ASSO9899

10. MULTI-TABLE QUERIES CREATE TABLE faculty (fid NUMBER(5) CONSTRAINT faculty_fid_pk PRIMARY KEY, flname VARCHAR2(30) CONSTRAINT faculty_flname_nn NOT NULL, ffname VARCHAR2(30) CONSTRAINT faculty_ffname_nn NOT NULL, fmi CHAR(1), locid NUMBER(5) CONSTRAINT faculty_locid_fk REFERENCES location(locid), fphone VARCHAR2(10), frank VARCHAR2(8) CONSTRAINT faculty_frank_cc CHECK ((frank = 'ASSO') OR (frank = 'FULL') OR (frank = 'ASST') OR (frank = 'INST')), fpin NUMBER(4) CONSTRAINT faculty_fpin_uk UNIQUE, startdate DATE);

11. MULTI-TABLE QUERIES INSERT INTO faculty VALUES (1, 'Cox', 'Kim', 'J', 53, '7155551234', 'ASSO', 1181, TO_DATE('09/15/1990', 'MM/DD/YYYY')); INSERT INTO faculty VALUES (2, 'Blanchard', 'John', 'R', 54, '7155559087', 'FULL', 1075, TO_DATE('01/12/1972', 'MM/DD/YYYY')); INSERT INTO faculty VALUES (3, 'Williams', 'Jerry', 'F', 56, '7155555412', 'ASST', 8531, TO_DATE('08/26/1992', 'MM/DD/YYYY')); INSERT INTO faculty VALUES (4, 'Perry', 'Laura', 'M', 55, '7155556409', 'INST', 1690, TO_DATE('01/22/1995', 'MM/DD/YYYY')); INSERT INTO faculty VALUES (5, 'Brown', 'Philip', 'E', 57, '7155556082', 'ASSO', 9899, TO_DATE('08/15/1985', 'MM/DD/YYYY'));

12. CARTESIAN PRODUCT LO CID BLDG_ CODE ROOMROOM CAPA CITY FIDFID FLNA ME FFNAMEFMILOCIDFPHONEFRAN K FPI N 35 Rows of Data Algorithm for JOIN in SQL: 1.Cartesian Product of Tables (specified in the FROM clause) 2.Selection of rows that match (e.g. predicate in the WHERE clause) 3. Project columns specified in the SELECT Clause SELECT * FROM Location, Faculty;

13. Cartesian Product followed by Selection SELECT L.*, F.* FROM Location L, Faculty P WHERE L.LOCID = F.LOCID; Order by SELECT F.FPHONE, L.ROOM FROM Location L, Faculty P WHERE L.LOCID = F.LOCID; ORDER BY L.ROOM, F.FPHONE;

14. SET OPERATIONS The Relations must be set operations (union|Intersect|difference) compatible:  Same number of attributes  Identical attributes in terms of domains, datatypes and lengths Only the number of tuples or rows can be different

15. SET OPERATIONS UNION List all Locations where the Capacity is less than 10 or there Faculty in that room (SELECT LOCID FROM Location WHERE capacity < 10) UNION (SELECT LOCID FROM Faculty);

16. Delete a record DELETE FROM Faculty WHERE FID = 53;