1. Database Programming Sections 7– Data Manipulation Language (DML) transaction, INSERT, implicit, explicit, USER, UPDATE, DELETE, integrity constraint, Parent record, Child record

2. Marge Hohly2 Overview of remainder of lesson  Data Manipulation Language DML INSERT UPDATE DELETE MERGE  Default Values  Merge Statements  Creating Tables  Using Data Types  Data Definition Language DDL ALTER TABLE DROP TABLE RENAME TRUNCATE COMMENT  Define Constraints  Manage Constraints

3. Marge Hohly3 Using a subquery to copy a table  In order to experiment with the tables, make a copy of them: Select all rows from the EMPLOYEES table and insert them into the COPY_EMPLOYEES table. CREATE TABLE copy_employees AS (SELECT * FROM employees); Verify by: SELECT * FROM copy_employees; DESCRIBE copy_employees;  the integrity rules (primary keys, default values are not passed to the copy, only the column datatype definitions.)

4. Marge Hohly4 Explicitly inserting data  Executing one DML statement is considered a transaction.  The INSERT statement is used to add new rows to a table. To get the column names and default order, use:  The statement requires three values: the name of the table the name of the column in the table to populate a corresponding value for the column –  INSERT INTO copy_departments (department_id, department_name, manager_id, location_id) VALUES (70,’Public Relations’, 100, 1700);  INSERT INTO copy_departments (department_id, manager_id, location_id, department_name) VALUES (99, 100, 1700, ‘Advertising’)

5. Marge Hohly5 Implicitly inserting data  Omit the column names  Match exactly the default order in which columns appear in the table  Provide a value for each column  Data types need to match  Use DESCRIBE to check the table structure before adding is a good idea  INSERT INTO copy_departments VALUES (100,’Education’, 100, 1700);  using VALUES adds on row at a time

6. Marge Hohly6 Insert with NULL values  Implicit Method – omit the column from the column list Any column that is not listed obtains a null value in the new row – errors can occur – the row has been specified NOT NULL, uniqueness, foreign key violation INSERT INTO copy_departments (department_id, department_name) VALUES (30,’Purchasing’);  Explicit Method – specify the NULL keyword in the values clause INSERT INTO copy_departments VALUES (100, ‘Finance’, NULL, NULL);

7. Marge Hohly7 Inserting Special Values  Special values such as SYSDATE and USER can be entered in the VALUES list of an INSERT statement.  SYSDATE puts current date in a column  USER places current username (Oracle Application Express will put APEX_PUBLIC_USER)  INSERT INTO copy_employees (employee_id, last_name, email, hire_date,job_id) VALUES(1001, USER, ‘Test’, SYSDATE, ‘IT_PROG’);

8. Inserting Special Values  Can add functions and calculated expressions as values  Example of inserting a system date and a calculated expression  INSERT INTO copy_f_orders (order_number, order_date, order_total,cust_id, staff_id) VALUES (1889,SYSDATE,87.92*1.08,123,19); Marge Hohly8

9. 9 Inserting Specific date values  The default date before Oracle 9i was DD- MON-YY.  The default format for Oracle 9i is DD-MON- RR century defaults to the current century default time of midnight (00:00:00) formats other than the default format use TO_DATE function  INSERT INTO copy_employees VALUES (114, ‘Den’, ‘Raphealy’, ‘DRAPHEAL’, ‘515.127.4561’, ’03-FEB-49’, ‘AC_ACCOUNT’, 11000, NULL, 100, 30);

10. Inserting Date values  The default format model for date is DD- MON-RR.  Recall the century defaults to the nearest century (nearest to SYSDATE) with default time midnight (00:00:00)  TO_CHAR review: SELECT first_name, TO_CHAR(birthdate, ‘Month fmDD, RRRR’) FROM f_staffs WHERE id=12; Marge Hohly10

11. Inserting Date values  To INSERT a row with a non-defaut format for a date column, use the TO_DATE function to convert the date value (a character string ) to a date  INSERT INTO copy_f_staffs (first_name, last_name, TO_DATE(birthdate, ‘Month fmDD, RRRR’), salary, staff_type) VALUES (‘Sue’, ‘Jones’, ’July 1, 1980’, 25, ‘clerk’); Marge Hohly11

12. Marge Hohly12 Date Example  INSERT INTO copy_employees VALUES (114, ‘Den’, ‘Raphealy’, ‘DRAPHEAL’, ‘515.127.4561’, ’03-FEB-49’, ‘AC_ACCOUNT’, 11000, NULL, 100, 30);  SELECT last_name, TO_CHAR(hire_date, ’Month dd, RRRR’) FROM copy_employees WHERE employee_id = 114;

13. Example  INSERT INTO copy_f_staffs (first_name, salary, staff_type, TO_DATE(birthdate, 'Month fmDD, RRRR HH24:MI‘) VALUES ('Sue', null, null, 'July 1, 1980 17:20'); Marge Hohly13

14. Inserting multiple rows  INSERT statement can be used to insert one row, but to insert multiple rows use a subquery  Use a subquery within the INSERT command to insert multiple rows Marge Hohly14

15. Marge Hohly15 Using a subquery to copy rows  Copy values from an existing table CREATE TABLE sales_reps (id number(5), name varchar2(15), salary number(10), commission_pct number (8));  No VALUES clause INSERT INTO sales_reps(id, name, salary, commission_pct) SELECT employee_id, last_name, salary, commission_pct FROM employees WHERE job_id LIKE ‘%REP%’;  NOTE: subquery is not in parentheses as in WHERE clause previously

16. Copy all the data from a table  INSERT INTO sales_reps SELECT * FROM employees;  This works ONLY if both tables have same number of columns, same types, and in the same order Marge Hohly16

17. Marge Hohly17 UPDATE statements  The UPDATE statement is used to modify existing rows in a table. It requires four values: the name of the table  UPDATE copy_employees the name of the column in the table to populate  SET department_id a corresponding value or subquery for the column  SET department_id = 70 a condition that identifies the columns and the changes for each column  WHERE employee_id = 103; New value can be from a single-row subquery

18. Marge Hohly18 Updating one column  Specific row or rows are modified if you specify the WHERE clause. UPDATE copy_employees SET department_id = 70 WHERE employee_id = 103; (One row is updated)  All rows in the table are modified if you omit the WHERE clause. UPDATE copy_employees SET department_id = 110; (All rows are updated)

19. UPDATING multiple columns  Can update one or more rows in a statement  UPDATE copy_f_customers SET phone_number = ‘4475582344’, city = ‘Chicago’ WHERE id<200;  If no WHERE clause all rows are updated in the table Marge Hohly19

20. Marge Hohly20 Update using subquery  UPDATE copy_employees SET department_id = (SELECT department_id FROM employees WHERE last_name = ‘Ernst’) WHERE employee_id = 103;

21. Marge Hohly21 Updating columns with subqueries  You can update one or more columns in the SET clause of an UPDATE statement by writing subqueries.  UPDATE copy_employees SET job_id = (SELECT job_id FROM employees WHERE employee_id =205) salary = (SELECT salary FROM employees WHERE employee_id =205) WHERE employee_id = 114;

22. Updating rows based on another table  Use a subquery to update data in one table with data in another table  UPDATE copy_f_staffs SET salary = (SELECT salary FROM f_staffs WHERE id = 9) WHERE id = 9; Marge Hohly22

23. Marge Hohly23 DELETE statement  The DELETE statement is used to remove existing rows in a table. The statement requires two values: the name of the table the condition that identifies the rows to be deleted DELETE * FROM copy_employees WHERE employee_id = 200; If you omit the WHERE clause all rows will be deleted

24. Marge Hohly24 Subquery Delete  Use subqueries in DELETE statements to remove rows from a table based on values from another table.  DELETE FROM copy_employees WHERE department_id = (SELECT department_id FROM departments WHERE department_name = ‘Shipping’);

25. Deleting rows based on another table  A subquery can be used to remove rows from one table based on values from another table  DELETE FROM emp WHERE plant_id = (SELECT plant_id FROM locations WHERE plant_loc = ‘AnyVilla’); Marge Hohly25

26. Marge Hohly26 Integrity Constraints  Integrity constraints define certain data quality requirements that the data in the database needs to meet. If a user tries to insert data that doesn’t meet these requirements an error will occur.  Types of Integrity constraints NOT NULL – each row in the column must have a value PRIMARY KEY – unique and not null FOREIGN KEY – A foreign key constraint (also called referential integrity constraint) on a column ensures that the value in that column is found in the primary key of another table. CHECK – value meets certain conditions salary CHECK < 50000 UNIQUE – no duplicate values in a column (email address)

27. Marge Hohly27 Integrity Constraint Errors  UPDATE employees SET department_id = 55 WHERE department_id = 110;  ORA-02291: integrity constraint (USCA_INST_SQL03_T01.EMP_DEPT_ FK) violated – parent key not found  There is no department_id = 55 in the departments table which is the parent table

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30. Marge Hohly30 Default Values  A column in a table can be given a default value.  Assigning default values prevents null values from existing in the column.  Default values can be: a literal value ‘no commission assigned’ an expression salary*1.15 SQL function, such as SYSDATE or USER  Default values must match the data type of the column

31. Marge Hohly31 Default Values Examples  Default Values Specified at the time the table is created: CREATE TABLE items( part_number VARCHAR2(10), description VARCHAR2(10), qty_on_hand NUMBER DEFAULT 0);  INSERT INTO items(part_number, description) VALUES (‘AB154’,’hammer’);

32. Marge Hohly32 Default Values - Examples  Use DEFAULT when inserting values: INSERT INTO items(part_number, description, qty_on_hand) VALUES (300,’Widger’, DEFAULT);  Use DEFAULT when updating values: UPDATE items SET qty_on_hand = DEFAULT WHERE part_number = ‘200’;  Now check the results! SELECT * FROM items;

33. Marge Hohly33 MERGE  MERGE Statement Accomplishes an UPDATE and INSERT at the same time ** the ON clause specifies the match – if two id’s match make the following updates, otherwise insert the following as new rows MERGE INTO copy_emp c USING employees e ON (c.employee_id = e.employee_id) WHEN MATCH THEN UPDATE SET c.first_name = e.first_name c.last_name = e.last_name..... c.department_id = e.department_id WHEN NOT MATCHED THEN INSERT VALUES( e.employee_id, e.first_name, e.last_name, e.salary, e.commission_pct, e.manager_id, e.department_id);

34. Marge Hohly34 MERGE Example:  MERGE INTO copy_items c USING items i ON(c.part_number = i.part_number) WHEN MATCHED THEN UPDATE SET c.description = i.description c.qty_on_hand = i.qty_on_hand WHEN NOT MATCHED THEN INSERT VALUES (i.part_number, i.description, i.qty_on_hand);

35. Marge Hohly35 CREATING TABLES  Naming Rules: Must begin with a letter Must be 1 to 30 characters in length Must only contain alpha/numeric,_,$,# Must be unique Must not be an Oracle Server reserved word

36. Marge Hohly36 Using Data Types  Most Common Data Types: VARCHAR2  Examples: Name, Address NUMBER  Examples: Price, Quatity DATE  Examples: DOB, Hire Date

37. Marge Hohly37 Creating Tables  CREATE TABLE name (column name DATATYPE(specifications for datatype) VARCHAR2(number of characters) – variable length data 1-4000 CHAR(size) – fixed length data 1-2000 NUMBER(precision, scale) – total number of decimal digits(1 to 38), right of decimal digits(- 84 to 127) For example, a scale of 2 means the value is rounded to the nearest hundredth (3.456 becomes 3.46); a scale of -3 means the number is rounded to the nearest thousand (3456 becomes 3000). DATE – date and time

38. Marge Hohly38 Creating Tables cont’d  CREATE TABLE students (id VARCHAR2(5), lname VARCHAR2(15), fname VARCHAR2(15), GPA number(6), enroll_date date DEFAULT SYSDATE);

39. Marge Hohly39 ORACLE Data Dictionary  The data dictionary is a collection of tables created and maintained by the Oracle Server and contains information about the database.  All data dictionary tables are owned by the SYS user. Because the tables are difficult to understand, users access data dictionary includes names of the Oracle Server users, privileges granted to users, database object names, table constrains and auditing information.  You may browse the Oracle Data Dictionary to show objects you own. SELECT * FROM DICTIONARY; - returns 610 items SELECT table_name FROM user_tables; SELECT DISTINCT object_type FROM user_objects; SELECT * FROM user_catalog;

40. Marge Hohly40 Using Interval Year to Month  INTERVAL YEAR TO MONTH: Stores a period of time in years/months Note that the argument 3 in the create table and insert statements refers to precision  CREATE TABLE time_ex2 (school_year_duration INTERVAL YEAR (3) TO MONTH);  INSERT INTO time_ex2(school_year_duration) VALUES(INTERVAL ‘9’ Month(3));  SELECT TO_CHAR(SYSDATE + school_year_duration, ‘dd-Mon-yyyy’) FROM time_ex2;  Returned 9 month from today’s date

41. Marge Hohly41 USING INTERVAL DAY TO SECOND  INTERVAL DAY TO SECOND: Stores a more precise period of time (days/hours/minutes/seconds) CREATE TABLE time_ex3(day_duration INTERVAL DAY(3) to SECOND); INSERT INTO time_ex3(day_duration) VALUES(INTERVAL ‘180’ DAY(3)); SELECT SYSDATE + day_duration “Half Year” FROM time_ex3;

42. Marge Hohly42 Using Time Data Types  TIMESTAMP: stores values with respect to universal time CREATE TABLE time_example (order_date TIMESTAMP WITH LOCAL TIME ZONE, ship_date DATE DEFAULT SYSDATE); INSERT INTO time_example VALUES(SYSDATE, SYSDATE); SELECT * FROM time_example;