Download Week 7

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Business intelligence wikipedia , lookup

Professional sports wikipedia , lookup

Transcript
Database Design
Sections 12 & 15
- Introduction to Application Express (APEX)
SQL editor, Introduction to SQL statements
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 or
PowerPoint document into NotePad. This
will drop out hidden characters.
 You may need to do some editing to
remove extra characters, or replace
incorrect characters.
 Next copy the command from the NotePad
into the editor
Marge Hohly
2
Enter SQL command
Marge Hohly
3
Display the Table structure
 Enter the following command:
 DESCRIBE music;
 The structure of the table should be
shown.
 Results on next slide
Marge Hohly
4
Music Table Structure
Marge Hohly
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 Hohly
6
Resulting Screen
Marge Hohly
7
SQL DESCRIBE
 DESCRIBE <table name>;
 DESCRIBE employees;
Try the last statement.
Marge Hohly
8
Inserting Data
 INSERT INTO tablename (column1, column2,....)
VALUES(value1,value2,...);
 Remember character data needs to be
enclosed in single quotes.
Marge Hohly
9
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;
Marge Hohly
10
Insert Data into table
 INSERT INTO <table name>
VALUES (value 1, value 2, value 3,
etc);
 INSERT INTO music
VALUES (10,'Marge Hohly','Folk');
Marge Hohly
11
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.
Marge Hohly
12
Subset of data WHERE clause
 SELECT <column name 1, column
name 2, etc.>
FROM <table name>
WHERE <condition>;
 SELECT first_name, last_name, salary
FROM employees
WHERE salary > 5000;
Marge Hohly
13
ALTER table structure
 ALTER TABLE <table name>
ADD (<new_column_name> <data
type>);
 Try to modify the structure of the
MUSIC table
 Add a column (which you will
misspell) COUNTRI instead of
COUNTRY).
 ALTER TABLE my_music
ADD (countri VARCHAR2(20));
Marge Hohly
14
Deleting a column from a table
 ALTER TABLE <table name>
DROP COLUMN <column_name>;
 Now delete the column (COUNTRI)
you just added.
Marge Hohly
15
Deleting a row
 DELETE from <table name>
WHERE <column_name> = 'some
value' ;
 DELETE from music
WHERE musicid = 10;
 DELETE from music
WHERE type = ‘Folk’;
Marge Hohly
16
Database Facts

Currently 20% of the world's data resides in
relational RDBMSs.
 In the next two years, databases are expected to
grow larger than 100 terabytes. A database this big
would be able to store 100,000 copies of the
Encyclopedia Britannica or 200,000 hours of music or
about 10 billion web pages.
 The top 10 world's largest databases using the Oracle
RDBMS are:
 France Telecom, 29.2TB -- a communications company
(a TB is a terabyte equivalent to 1,000 gigabytes)
 Amazon.com with, 13 TB -- selling books and
merchandise
 The Claria Corporation,12TB -- Internet behavioral
marketing company tracking Internet user behavior
Marge Hohly
17
Oracle Facts







One of Oracles first customers was the CIA, for which they
created a relational database management system.
Much of Oracles early success was owed to picking up IBM as a
major customer.
2nd half of the ‘90s was spend retooling Oracle products in line
with that online strategy (the internet)
Ellison said in 1998: “If the internet turns out not to be the
future of computing, we’re toast. But if it is, we’re golden.”
Oracle was the first enterprise software to fully embrace the
Java Programming language back in 1998.
Oracle has purchased 57 different companies in the last 5
years.
The buying frenzy was launched with the $10.3 billion
acquisition of PeopleSoft in 2005, which put Oracle squarely in
the ERP software fray.
Marge Hohly
18
Oracle Facts




The latest mega-purchase: Sun Microsystems, a $7.4 billion
acquisition due to close this year if regulators don't object.
Oracle today now has 345,000 customers worldwide.
Oracle employs more than 73,201 people around the globe.
Some of the top 10 world’s largest databases using Oracle
RDBMS are:



France Telecom, 29.2 TB – a communications company (a TB is a terebyte
equivalent to 1,000 gigabytes)
Amazon.com with, 13TB – selling books and merchandise
The Clarian Corporation, 13TB – Internet behavioral marketing company
tracking Internet user behavior
Marge Hohly
19
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


Marge Hohly
20
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.
Marge Hohly
21
Categories of SQL Statements

Data manipulation language (DML) statements



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.


Begin with INSERT, UPDATE, DELETE, or MERGE
Used to modify the table by entering new rows, changing existing rows, or
removing existing rows.
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.
Marge Hohly
22
Questions
1.
The Fast Foods database consists of how many tables? ____ tables
2.
How is the F_SHIFTS table related to the F_STAFFS table?
3.
What are the names of the columns in the F_CUSTOMERS table?
4.
How many rows of data have been entered in the
F_PROMOTIONAL_MENUS table?
5.
In the F_FOOD_ITEMS table, column _________ is a foreign-key
column. What table and column is this key referencing?
6.
List the primary key to foreign key relationships required to go
from the F_SHIFTS table to the F_REGULAR_MENUS table.
7.
Which table(s) contain null values?
Marge Hohly
23
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.
Marge Hohly
24
Selection vs. Projection
 SELECT salary
FROM employees
WHERE last_name like ‘Smith’;
 Selection (row)
Projection
(column)
ID
First_name
Last_name
salary
10
John
Doe
4000
20
Jane
Jones
3000
30
Sylvia
Smith
5000
40
Hai
Nguyen
6000
Marge Hohly
25
Join
Marge Hohly
26
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 Hohly
27
SELECTION
 SELECT *
FROM employees
WHERE department_id = 60;
 SELECT *
FROM employees
WHERE salary > 10000;
Marge Hohly
28
Projections
 A subset of columns
 SELECT first_name, last_name, salary
FROM employees;
 SELECT id, title, artist
FROM d_songs;
Marge Hohly
29
Arithmetic Expressions
 Create expressions
with number and
date data by using
arithmetic
Operator
operators.
+
Description
Add
-
Subtract
*
Multiply
/
Divide
Marge Hohly
30
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
Marge Hohly
31
Rewrite in order of precedence
 You want to calculate the annual salary if the
employee received $100 raise each month
 Revise the following statement in the correct
order of precedence to get the desired results
 Run each example in the editor
 SELECT last_name, salary, 12*salary+100
FROM employees;
Marge Hohly
32
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.
Marge Hohly
33
Null Values in Arithmetic
Expressions
 SELECT last_name, salary, commission_pct,
salary*commission_pct
FROM employees;
SALARY
COMMISSION_PCT
SALARY*COMMISSION_PCT
2500
(null)
(null)
10500
.2
2100
11000
.3
3300
8600
.2
1720
7000
.15
1050
(null)
(null)
(null)
Marge Hohly
34
Practice
 SELECT *
FROM d_songs;
 SELECT id, title, duration, artist, type_code
FROM d_songs;
 SELECT id, title, artist,
FROM d_songs;
 SELECT last_name, salary, salary – 300
FROM employees;
 SELECT last_name, salary, salary * 1.05
FROM employees;
Marge Hohly
35
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
Marge Hohly
36
Using Aliases
 SELECT last_name name, salary AS Salary, salary*12
“Annual Salary”
FROM employees;
NAME
SALARY
Annual Salary
Whalen
4400
52800
Hartstein
13000
156000
Fay
6000
72000
Marge Hohly
37