1. SQL Review Sections 1 - SQL and other basic statements

2. Marge Hohly2 Using APEX SQL editor  You may either type the command into the SQL editor or use the cut and paste option  If you are going to cut/paste the command copy the command from the word document into NotePad. This will drop out hidden characters.  Next copy the command from the NotePad into the editor

3. Marge Hohly3 Enter SQL command

4. Marge Hohly4 Display the Table structure  Enter the following command: DESCRIBE MUSIC;  The structure of the table should be shown.

5. Select command structure  SELECT field1, field2, field3 FROM table_name WHERE condition;  Try the following command SELECT employee_id, first_name, last_name, department_id FROM employees;  SELECT employee_id, first_name, last_name, department_id FROM employees WHERE department_id = 90; Marge Hohly5

6. 6 SQL DESCRIBE  DESCRIBE ;  DESCRIBE employees; Try the last statement.

7. Marge Hohly7 Insert Data  Note the data types for each column  Inserting data into the table.  Since the table is empty all fields need to be populated, so column names can be omitted  INSERT INTO music VALUES (10,'Marge Hohly','Folk');  This will insert one record into the table  Next display the contents of the table to view the data  SELECT * FROM music;

8. Marge Hohly8 Typical error messages  The following statement has a spelling error:  SELCT * FROM employees; The error message is: ORA-00900: invalid SQL statement  The following statement incorrectly names the table employee instead of employees:  SELECT * FROM employee; The error message is: ORA-00942: table or view does not exist  Run the correct statement.

9. Marge Hohly9 Subset of data WHERE clause  SELECT FROM WHERE ;  SELECT first_name, last_name, salary FROM employees WHERE salary > 5000;

10. Marge Hohly10 Application Express SQL editor  The SQL course will use the three following sets of database tables for examples and practice exercises.  Oracle tables: COUNTRIES, REGIONS, DEPARTMENTS, EMPLOYEES, JOBS, JOB_HISTORY AND JOB_GRADES  DJs on Demand database tables: D_CDS, D_PACKAGES, D_TYPES, D_THEMES, D_CLIENTS, D_VENUES, D_SONGS, D_TRACK_LISTINGS, D_PARTNERS, D_EVENTS, D_PLAY_LIST_ITEMS, D_JOB_ASSIGNMENTS  Global Fast Foods database tables: F_CUSTOMERS, F_REGULAR_MENUS, F_PROMOTIONAL_MENUS, F_SHIFTS, F_STAFFS, F_FOOD_ITEMS, F_ORDERS, F_ORDER_LINES, F_SHIFT_ASSIGNMENTS  Print out these tables for your reference when using the Application Express editor  These tables are available on the Student Resource web page for this class

11. Marge Hohly11 Review the tables  There are six properties of tables in a relational database:  Property 1: Entries in columns are single-valued.  Property 2: Entries in columns are of the same kind.  Property 3: Each row is unique.  Property 4: Sequence of columns is insignificant.  Property 5: Sequence of rows is insignificant.  Property 6: Each column has a unique name.

12. Marge Hohly12 Categories of SQL Statements  Data manipulation language (DML) statements Begin with INSERT, UPDATE, DELETE, or MERGE Used to modify the table by entering new rows, changing existing rows, or removing existing rows.  Data definition language (DDL) statements set up, change, and remove data structures from the database. The keywords CREATE, ALTER, DROP, RENAME, and TRUNCATE begin DDL statements.  Transaction control (TCL) statements are used to manage the changes made by DML statements. Changes to the data are executed using COMMIT, ROLLBACK, and SAVEPOINT. TCL changes can be grouped together into logical transactions.  Data control language (DCL) keywords GRANT and REVOKE are used to give or remove access rights to the database and the structures within it.

13. Marge Hohly13 KEYWORD, CLAUSE, STATEMENT  Throughout this course, the words keyword, clause, and statement are used as follows: A keyword refers to an individual SQL element. For example, SELECT and FROM are keywords. A clause is a part of a SQL statement. SELECT employee_id, last_name,.... is a clause. A statement is a combination of two or more clauses. SELECT * FROM employees; is a SQL statement.

14. Marge Hohly14 Selection vs. Projection  SELECT salary FROM employees WHERE last_name like ‘Smith’;  Selection (row) Projection (column) IDFirst_nameLast_namesalary 10JohnDoe4000 20JaneJones3000 30SylviaSmith5000 40HaiNguyen6000

15. Join Marge Hohly15

16. SELECT statement  SELECT statements can provide the same information depending on how they are written  Example: SELECT * FROM d_songs; SELECT id, title, duration, artist, type_code FROM d_songs; Marge Hohly16

17. SELECTION  SELECT * FROM employees WHERE department_id = 60;  SELECT * FROM employees WHERE salary > 10000; Marge Hohly17

18. Projections  A subset of columns  SELECT first_name, last_name, salary FROM employees;  SELECT id, title, artist FROM d_songs; Marge Hohly18

19. Marge Hohly19 Arithmetic Expressions  Create expressions with number and date data by using arithmetic operators. OperatorDescription +Add -Subtract *Multiply /Divide

20. Marge Hohly20 Operator Precedence  Operator Precedence Multiplication and division take priority over addition and subtraction. Operators of the same priority are evaluated from left to right. Parentheses are used to force prioritized evaluation and to clarify statements. Remember: Please excuse my dear aunt Sally () ^ * / + -

21. Marge Hohly21 What is null?  If a row lacks the data value for a particular column, that value is said to be null, or to contain a null. A null is a value that is unavailable, unassigned, unknown, or inapplicable.  A null is not the same as zero. Zero is a number.  A null is not a space. Space is a character.

22. Marge Hohly22 Column Alias  Renames a column heading  Is useful in naming columns of derived values  Immediately follow the column name  Uses optional AS keyword between the column name and alias  Required double quotation marks if it contains spaces or special characters or is case sensitive

23. Marge Hohly23 Using Aliases  SELECT last_name name, salary AS Salary, salary*12 “Annual Salary” FROM employees; NAMESALARYAnnual Salary Whalen440052800 Hartstein13000156000 Fay600072000