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Soufiane Hakam

This document provides an overview of a training course on basic SQL queries. The course objectives are to learn how to execute basic SELECT statements, restrict and sort query results, and use aggregation functions. The topics covered include the SELECT statement, comparison operators, logical operators, the ORDER BY clause, and substitution variables. The document provides examples of SQL syntax for each topic and explains how to use the iSQL*Plus tool to interact with database tables and run queries.

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Campus-Booster ID: **XXXXX Basic Orders www.supinfo.com Copyright © SUPINFO . All rights reserved
Votre formateur… Formation Etudiant SUPINFO en 4 ème année SCT Oracle pour la 2 ème année Certifications 1Z0-007 Introduction to Oracle 9 i SQL 1Z0-147 PL/SQL Development Pour me contacter [email_address] (MSN) SUPINFOne : 145776 ID Booster : 45776 Sébastien VITA Basic Orders
Course objectives Execute a basic SELECT statement Limit and sort the rows that are retrieved by a query Describe various types of functions that are available in SQL Describe the use of group functions By completing this course, you will be able to: Basic Orders
Course topics Retrieving Data Using the SQL SELECT Statement Restricting and Sorting Data Using Single-Row Functions to Customize Output Reporting Aggregated Data Using the Group Functions Course’s plan: Basic Orders
Retrieving Data Using the SQL SELECT Statement Basic Orders
What is the SELECT statement ? Arithmetic Expressions. Other SELECT Possibilities. Using i SQL*Plus. Preview Retrieving Data Using the SQL SELECT Statement
What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Projection Selection Join Table 1 Table 2 Table 1 Table 1
SELECT identifies the column to be displayed FROM identifies the table containing those columns What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Basic SELECT statement: SELECT *|{[DISTINCT] column | expression [ alias ],...} FROM table;
What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Selecting all columns: SELECT * FROM departments;
What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Selecting specific columns: SELECT department_id, location_id FROM departments;
SQL statements are not case-sensitive. SQL statements can be on one or more lines. Keywords cannot be abbreviated or split across lines. Clauses are usually placed on separate lines. Indents are used to enhance readability. In i SQL*Plus, SQL statements can optionally be terminated by a semicolon ( ; ). Semicolons are required if you execute multiple SQL statements. In SQL*plus, you are required to end each SQL statement with a semicolon ( ; ). What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement
i SQL*Plus: Default heading alignment: Center Default heading display: Uppercase SQL*Plus: Character and Date column headings are left aligned Number column headings are right-aligned Default heading display: Uppercase What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Column Heading Defaults:
Arithmetic Expressions Operator Description + Add - Subtract Multiply Divide * / Retrieving Data Using the SQL SELECT Statement Create expressions with number and date data by using arithmetic operators.
Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Using Arithmetic Operators: SELECT last_name, salary, salary + 300 FROM employees;
Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Operator Precedence: SELECT last_name, salary, 12*salary+100 FROM employees; SELECT last_name, salary, 12*(salary+100) FROM employees;
A null is a value that is unavailable, unassigned, unknown, or inapplicable. A null is not the same as a zero or a blank space. Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Defining a Null Value: SELECT last_name, job_id, salary, commission_pct FROM employees;
Arithmetic expressions containing a null value evaluate to null. Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Null Values in Arithmetic Expressions: SELECT last_name, 12*salary*commission_pct FROM employees;
A column alias: Renames a column heading Is useful with calculations Immediately follows the column name (There can also be the optional AS keyword between the column name and alias.) Requires double quotation marks if it contains spaces or special characters or if it is case sensitive Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Defining a Column Alias:
Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Using Column Aliases: SELECT last_name AS name , commission_pct comm FROM employees; SELECT last_name "Name" , salary*12 "Annual Salary" FROM employees;
Links columns or character strings to other columns Is represented by two vertical bars ( || ) Creates a resultant column that is a character expression Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Concatenation Operator: SELECT last_name || job_id AS "Employees" FROM employees;
A literal is a character, a number, or a date that is included in the SELECT statement. Date and character literal values must be enclosed by single quotation marks. Each character string is output once for each row returned. Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Literal Character Strings:
Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Using Literal Character Strings: SELECT last_name || ' is a ' || job_id AS "Employee Details" FROM employees;
Specify your own quotation mark delimiter Choose any delimiter Increase readability and usability Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Alternative Quote ( q ) Operator: SELECT department_name || q'[, it's assigned Manager Id: ]' || manager_id AS "Department and Manager" FROM departments;
The default display of queries is all rows, including duplicate rows. Other SELECT Possibilities SELECT DISTINCT department_id FROM employees; Retrieving Data Using the SQL SELECT Statement Duplicate Rows: SELECT department_id FROM employees;
Using i SQL*Plus SQL statements Internet browser i SQL*Plus commands Query Result Formatted report Client Retrieving Data Using the SQL SELECT Statement SQL and i SQL*Plus Interaction:
Using i SQL*Plus SQL i SQL*Plus A language An environment ANSI standard Oracle-proprietary Keywords can be abbreviated Commands do not allow manipulation of values in the database Keyword cannot be abbreviated Statements manipulate data and table definitions in the database Retrieving Data Using the SQL SELECT Statement SQL Statements Versus i SQL*Plus Commands: Runs on a browser Centrally loaded; does not have to be implemented on each machine
After you log in to i SQL*Plus, you can: Describe table structures Enter, execute, and edit SQL statements Save or append SQL statements to files Execute or edit statements that are stored in saved script files Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement Overview of i SQL*Plus:
From your browser environment Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement Logging In to i SQL*Plus:
Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement i SQL*Plus Environment: 1 2 3 4 5 6 7 8 9
Use the i SQL*Plus DESCRIBE command to display the structure of a table: Using i SQL*Plus DESCRIBE employees Retrieving Data Using the SQL SELECT Statement Displaying Table Structure: DESC[RIBE] tablename Example:
Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement 1 2
Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement
Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement 1
Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement 3 2
Using i SQL*Plus i SQL*Plus History Page: Retrieving Data Using the SQL SELECT Statement 2 1 3
Using i SQL*Plus i SQL*Plus History Page: Retrieving Data Using the SQL SELECT Statement 5 4
Using i SQL*Plus Setting i SQL*Plus Preferences: Retrieving Data Using the SQL SELECT Statement 2 1 3
Using i SQL*Plus Setting the Output Location Preference: Retrieving Data Using the SQL SELECT Statement 1 2
Part 1 Summary What is the SELECT statement Arithmetic Expressions Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement Other SELECT Possibilities
Part 1 Stop-and-think Retrieving Data Using the SQL SELECT Statement Do you have any questions ?
Restricting and Sorting Data Basic Orders
Preview How to Restrict Data Comparison Conditions Logical Conditions How to Sort Data Substitution Variables Restricting and Sorting Data
How to Restrict Data Restricting and Sorting Data “ retrieve all employees in department 90”
Restrict the rows that are returned by using the WHERE clause: How to Restrict Data Restricting and Sorting Data Limiting the Rows That Are Selected: SELECT *|{[DISTINCT] column|expression [alias],...} FROM table [WHERE condition(s)] ; The WHERE clause follows the FROM clause.
How to Restrict Data Restricting and Sorting Data Using the WHERE Clause: SELECT employee_id, last_name, job_id, department_id FROM employees WHERE department_id = 90 ;
Character strings and date values are enclosed by single quotation marks. Character values are case-sensitive, and date values are format-sensitive. The default date format is DD-MON-RR . How to Restrict Data Restricting and Sorting Data Character Strings and Dates: SELECT last_name, job_id, department_id FROM employees WHERE last_name = 'Whalen' ;
Comparison Conditions Operator Meaning = Equal to > Greater than Greater than or equal to Less than >= < Restricting and Sorting Data Create expressions with number and date data by using arithmetic operators. <= Less than or equal to Not equal to Between two values (inclusive) <> BETWEEN … AND … IN (set) Match any of a list of values Match a character pattern Is a null value LIKE IS NULL
Comparison Conditions Restricting and Sorting Data Using Comparison Conditions: SELECT last_name, salary FROM employees WHERE salary <= 3000 ;
Use the BETWEEN condition to display rows based on a range of values: Comparison Conditions Restricting and Sorting Data Using the BETWEEN Condition: SELECT last_name, salary FROM employees WHERE salary BETWEEN 2500 AND 3500 ; Lower limit Upper limit
Use the IN membership condition to test for values in a list: Comparison Conditions Restricting and Sorting Data Using the IN Condition: SELECT employee_id, last_name, salary, manager_id FROM employees WHERE manager_id IN (100, 101, 201) ;
Use the LIKE condition to perform wildcard searches of valid search string values. Search conditions can contain either literal characters or numbers: % denotes zero or many characters. _ denotes one character. Comparison Conditions Restricting and Sorting Data Using the LIKE Condition: SELECT first_name FROM employees WHERE first_name LIKE 'S%' ;
You can combine pattern-matching characters : Comparison Conditions Restricting and Sorting Data Using the LIKE Condition: SELECT first_name FROM employees WHERE first_name LIKE '_o%' ;
Comparison Conditions You can use the ESCAPE identifier to search for the actual % and _ symbols. Restricting and Sorting Data ESCAPE identifier: SELECT employee_id, job_id FROM employees WHERE job_id LIKE 'SA\_R%' ESCAPE '\';
Test for nulls with the IS NULL operator. Comparison Conditions Restricting and Sorting Data Using the IS NULL Condition: SELECT last_name, manager_id FROM employees WHERE manager_id IS NULL ;
Logical Conditions Operator Meaning AND Returns TRUE if both component conditions are true OR Returns TRUE if either component condition is true Returns TRUE if the following condition is false NOT Restricting and Sorting Data
AND requires both conditions to be true: Logical Conditions Restricting and Sorting Data Using the AND Operator: SELECT employee_id, last_name, job_id, salary FROM employees WHERE salary >= 10000 AND job_id LIKE '%MAN%';
OR requires either condition to be true: Logical Conditions Restricting and Sorting Data Using the OR Operator: SELECT employee_id, last_name, job_id, salary FROM employees WHERE salary >= 10000 OR job_id LIKE '%MAN%';
Logical Conditions Restricting and Sorting Data Using the NOT Operator: SELECT last_name, job_id FROM employees WHERE job_id NOT IN ('IT_PROG', 'ST_CLERK', 'SA_REP‘);
Logical Conditions You can use parentheses to override rules of precedence. Order Operators 1 Arithmetic operators 2 Concatenation operator Comparison conditions IS [ NOT ] NULL , LIKE , [ NOT ] IN 3 4 Restricting and Sorting Data Rules of Precedence 5 [ NOT ] BETWEEN Not equal to NOT logical condition 6 7 8 AND logical condition OR logical condition 9
Logical Conditions Restricting and Sorting Data Rules of Precedence SELECT last_name, job_id, salary FROM employees WHERE job_id = 'SA_REP' OR job_id = 'AD_PRES ' AND salary > 15000; SELECT last_name, job_id, salary FROM employees WHERE (job_id = 'SA_REP' OR job_id = 'AD_PRES') AND salary > 15000;
Sort retrieved rows with the ORDER BY clause: ASC : ascending order, default DESC : descending order The ORDER BY clause comes last in the SELECT statement: How to Sort Data Restricting and Sorting Data Using the ORDER BY Clause: SELECT last_name, job_id, department_id, hire_date FROM employees ORDER BY hire_date ;
Sorting in descending order: How to Sort Data Restricting and Sorting Data Sorting: SELECT last_name, job_id, department_id, hire_date FROM employees ORDER BY hire_date DESC ; Sorting by column alias: SELECT employee_id, last_name, salary*12 annsal FROM employees ORDER BY annsal ; Sorting by multiple columns: SELECT last_name, department_id, salary FROM employees ORDER BY department_id, salary DESC;
Substitution Variables Restricting and Sorting Data I want to query different values. ... salary = ? ... ... department_id = ? ... ... last_name = ? ...
Use i SQL*Plus substitution variables to: Temporarily store values with single-ampersand ( & ) and double-ampersand ( && ) substitution Use substitution variables to supplement the following: WHERE conditions ORDER BY clauses Column expressions Table names Entire SELECT statements Substitution Variables Restricting and Sorting Data
Use a variable prefixed with an ampersand ( & ) to prompt the user for a value: Substitution Variables Restricting and Sorting Data SELECT employee_id, last_name, salary, department_id FROM employees WHERE employee_id = &employee_num ;
Substitution Variables Using the & Substitution Variable: Restricting and Sorting Data 2 1
Use single quotation marks for date and character values: Substitution Variables Restricting and Sorting Data SELECT last_name, department_id, salary*12 FROM employees WHERE job_id = '&job_title'; Character and Date Values with Substitution Variables:
Substitution Variables Restricting and Sorting Data SELECT employee_id, last_name, job_id, &column_name FROM employees WHERE &condition ORDER BY &order_column ; Specifying Column Names, Expressions, and Text:
Use the double ampersand ( && ) if you want to reuse the variable value without prompting the user each time: Substitution Variables Restricting and Sorting Data SELECT employee_id, last_name, job_id, &&column_name FROM employees ORDER BY &column_name ; Using the && Substitution Variable:
Use the i SQL*Plus DEFINE command to create and assign a value to a variable. Use the i SQL*Plus UNDEFINE command to remove a variable. Substitution Variables Restricting and Sorting Data DEFINE employee_num = 200 SELECT employee_id, last_name, salary, department_id FROM employees WHERE employee_id = &employee_num ; UNDEFINE employee_num Using the i SQL*Plus DEFINE Command:
Use the VERIFY command to toggle the display of the substitution variable, both before and after i SQL*Plus replaces substitution variables with values: Substitution Variables Restricting and Sorting Data SET VERIFY ON SELECT employee_id, last_name, salary, department_id FROM employees WHERE employee_id = &employee_num; Using the VERIFY Command: old 3: WHERE employee_id = &employee_num new 3: WHERE employee_id = 200
Part 2 Summary How to Restrict Data Comparison Conditions How to Sort Data Restricting and Sorting Data Logical Conditions Substitution Variables
Part 2 Stop-and-think Restricting and Sorting Data Do you have any questions ?
Using Single-Row Functions to Customize Output Basic Orders
SQL Functions. Character Functions. Number Functions. Date Functions. Conversion Functions. General Functions. Conditional Expressions Preview Using Single-Row Functions to Customize Output
SQL Functions Using Single-Row Functions to Customize Output FUNCTION Result Value Output Input arg 1 arg 2 arg n Functions performs actions
SQL Functions Using Single-Row Functions to Customize Output FUNCTION Single-row functions Multiple-row functions Return one result per row Return one result per set of rows Two Types of SQL Functions
Manipulate data items Accept arguments and return one value Act on each row that is returned Return one result per row May modify the data type Can be nested Accept arguments that can be a column or an expression SQL Functions Using Single-Row Functions to Customize Output Single-row functions: function_name [(arg1, arg2,...)]
SQL Functions Using Single-Row Functions to Customize Output Single-row functions: Conversion Date Character General Number Single-row functions
Character Functions Using Single-Row Functions to Customize Output Case-manipulation functions Character functions Character-manipulation functions LOWER UPPER INITCAP CONCAT SUBSTR LENGTH INSTR LPAD | RPAD TRIM REPLACE
Character Functions Function Result LOWER('SQL Course') sql course UPPER('SQL Course') SQL COURSE Sql Course INITCAP('SQL Course') Using Single-Row Functions to Customize Output Using Case-Manipulation Functions These functions convert case for character strings:
Character Functions Using Single-Row Functions to Customize Output SELECT employee_id, last_name, department_id FROM employees WHERE last_name = 'higgins' ; no rows selected SELECT employee_id, last_name, department_id FROM employees WHERE LOWER(last_name) = 'higgins'; Using Case-Manipulation Functions Display the employee number, name, and department number for employee Higgins:
Character Functions Function Result CONCAT('Hello', 'World') HelloWorld SUBSTR('HelloWorld',1,5) Hello 10 6 LENGTH('HelloWorld') INSTR('HelloWorld', 'W') Using Single-Row Functions to Customize Output These functions manipulate character strings: *****24000 LPAD(salary,10,'*') 24000***** RPAD(salary, 10, '*') BLACK and BLUE REPLACE('JACK and JUE','J','BL') elloWorld TRIM('H' FROM 'HelloWorld')
Character Functions Using Single-Row Functions to Customize Output SELECT employee_id, CONCAT(first_name, last_name) NAME,job_id, LENGTH (last_name), INSTR(last_name, 'a') &quot;Contains 'a'?&quot; FROM employees WHERE SUBSTR(job_id, 4) = 'REP'; Using the Character-Manipulation Functions 1 1 2 2 3 3
Number Functions ROUND : Rounds value to specified decimal TRUNC : Truncates value to specified decimal MOD : Returns remainder of division Function Result ROUND(45.926, 2) 45.93 TRUNC(45.926, 2) 45.92 100 MOD(1600, 300) Using Single-Row Functions to Customize Output
Number Functions Using Single-Row Functions to Customize Output Using the ROUND Function SELECT ROUND(45.923,2), ROUND(45.923,0), ROUND(45.923,-1) FROM DUAL; 1 1 2 2 3 3 DUAL is a dummy table that you can use to view results from functions and calculations.
Number Functions Using Single-Row Functions to Customize Output Using the TRUNC Function SELECT TRUNC(45.923,2), TRUNC(45.923), TRUNC(45.923,-1) FROM DUAL; 1 1 2 2 3 3
Number Functions Using Single-Row Functions to Customize Output Using the MOD Function SELECT last_name, salary, MOD(salary, 5000) FROM employees WHERE job_id = 'SA_REP'; For all employees with job title of Sales Representative, calculate the remainder of the salary after it is divided by 5,000.
Date Functions The Oracle database stores dates in an internal numeric format: century, year, month, day, hours, minutes, and seconds. The default date display format is DD-MON-RR . Enables you to store 21st-century dates in the 20th century by specifying only the last two digits of the year Enables you to store 20th-century dates in the 21st century in the same way Using Single-Row Functions to Customize Output Working with Dates SELECT last_name, hire_date FROM employees WHERE hire_date < '01-FEB-88';
Date Functions SYSDATE is a function that returns: Date Time Using Single-Row Functions to Customize Output Working with Dates
Date Functions Add or subtract a number to or from a date for a resultant date value. Subtract two dates to find the number of days between those dates. Add hours to a date by dividing the number of hours by 24. Using Single-Row Functions to Customize Output Arithmetic with Dates
Date Functions Using Single-Row Functions to Customize Output Using Arithmetic Operators with Dates SELECT last_name, (SYSDATE-hire_date)/7 AS WEEKS FROM employees WHERE department_id = 90;
Date Functions Function Result MONTHS_BETWEEN Number of months between two dates ADD_MONTHS Add calendar months to date Next day of the date specified NEXT_DAY Using Single-Row Functions to Customize Output LAST_DAY Last day of the month ROUND Round date Truncate date TRUNC
Date Functions Function Result MONTHS_BETWEEN ('01-SEP-95','11-JAN-94') 19.6774194 ADD_MONTHS ('11-JAN-94',6) '11-JUL-94 ' '08-SEP-95 ' NEXT_DAY ('01-SEP-95','FRIDAY') Using Single-Row Functions to Customize Output LAST_DAY ('01-FEB-95') '28-FEB-95 '
Date Functions Function Result ROUND(SYSDATE,'MONTH') 01-AUG-03 ROUND(SYSDATE,'YEAR') 01-JAN-04 01-JUL-03 TRUNC(SYSDATE,'MONTH') Using Single-Row Functions to Customize Output Example Assume SYSDATE = '25-JUL-03' : TRUNC(SYSDATE,'YEAR') 01-JAN-03
Conversion Functions Using Single-Row Functions to Customize Output Implicit data type conversion Explicit data type conversion Data type conversion
Conversion Functions For assignments, the Oracle server can automatically convert the following: From To VARCHAR2 or CHAR NUMBER VARCHAR2 or CHAR DATE VARCHAR2 NUMBER Using Single-Row Functions to Customize Output Implicit Data Type Conversion DATE VARCHAR2
Conversion Functions For expression evaluation, the Oracle Server can automatically convert the following: From To VARCHAR2 or CHAR NUMBER VARCHAR2 or CHAR DATE Using Single-Row Functions to Customize Output Implicit Data Type Conversion
Conversion Functions Retrieving Data Using the SQL SELECT Statement Explicit Data Type Conversion TO_DATE DATE TO_CHAR TO_NUMBER TO_CHAR NUMBER CHARACTER
The format model: Must be enclosed by single quotation marks Is case-sensitive Can include any valid date format element Has an fm element to remove padded blanks or suppress leading zeros Is separated from the date value by a comma Conversion Functions Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Dates TO_CHAR(date, 'format_model')
Conversion Functions Element Result YYYY Full year in numbers YEAR Year spelled out (in English) Two-digit value for month Full name of the month MM MONTH Using Single-Row Functions to Customize Output Elements of the Date Format Model Three-letter abbreviation of the month MON Three-letter abbreviation of the day of the week DY Full name of the day of the week DAY Numeric day of the month DD
Time elements format the time portion of the date: Add character strings by enclosing them in double quotation marks: Number suffixes spell out numbers: Conversion Functions Using Single-Row Functions to Customize Output Elements of the Date Format Model HH24:MI:SS AM 15:45:32 PM DD &quot;of&quot; MONTH 12 of OCTOBER ddspth fourteenth
Conversion Functions Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Dates SELECT last_name, TO_CHAR(hire_date, 'fmDD Month YYYY') AS HIREDATE FROM employees; … 20 rows selected.
Conversion Functions These are some of the format elements that you can use with the TO_CHAR function to display a number value as a character: Element Result 9 Represents a number 0 Forces a zero to be displayed Places a floating dollar sign $ Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Numbers L Uses the floating local currency symbol . Prints a decimal point TO_CHAR(number, 'format_model') , Prints a comma as thousands indicator
Conversion Functions Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Numbers SELECT TO_CHAR(salary, '$99,999.00') SALARY FROM employees WHERE last_name = 'Ernst';
Convert a character string to a number format using the TO_NUMBER function: Convert a character string to a date format using the TO_DATE function: These functions have an fx modifier. This modifier specifies the exact matching for the character argument and date format model of a TO_DATE function. Conversion Functions Using Single-Row Functions to Customize Output Using the TO_NUMBER and TO_DATE Functions: TO_NUMBER(char[, 'format_model']) TO_DATE(char[, 'format_model'])
Conversion Functions Using Single-Row Functions to Customize Output RR Date Format If two digits of the current year are: 0-49 50-99 0-49 If the specified two-digit year is: 50-99 The return date is in the current century The return date is in the century before the current one The return date is in the century after the current one The return date is in the current century
Conversion Functions Using Single-Row Functions to Customize Output RR Date Format Current Year 1995 1995 2001 2001 Specified Date 27-OCT-95 27-OCT-17 27-OCT-17 27-OCT-95 RR Format 1995 2017 2017 1995 YY Format 1995 1917 2017 2095
To find employees hired prior to 1990, use the RR date format, which produces the same results whether the command is run in 1999 or now: Conversion Functions Using Single-Row Functions to Customize Output Example of RR Date Format SELECT last_name,TO_CHAR(hire_date,'DD-Mon-YYYY') FROM employees WHERE hire_date < TO_DATE('01-Jan-90','DD-Mon-RR');
Single-row functions can be nested to any level. Nested functions are evaluated from deepest level to the least deep level. Conversion Functions Using Single-Row Functions to Customize Output Nesting Functions F3 ( F2 ( F1( col, arg1 ) , arg2 ), arg3 ) Step 3 = Result 3 Step 2 = Result 2 Step 1 = Result 1
Conversion Functions Using Single-Row Functions to Customize Output Nesting Functions SELECT last_name, UPPER(CONCAT(SUBSTR(LAST_NAME,1,8),'_US')) FROM employees WHERE department_id = 60;
The following functions work with any data type and pertain to using nulls: NVL (expr1, expr2) NVL2 (expr1, expr2, expr3) NULLIF (expr1, expr2) COALESCE (expr1, expr2, ..., exprn) General Functions Using Single-Row Functions to Customize Output
Converts a null value to an actual value: Data types that can be used are date, character, and number. Data types must match: NVL(commission_pct,0) NVL(hire_date,'01-JAN-97') NVL(job_id,'No Job Yet') General Functions Using Single-Row Functions to Customize Output NVL Function
General Functions Using Single-Row Functions to Customize Output Using the NVL Function SELECT last_name, salary, NVL(commission_pct, 0), (salary*12) + (salary*12*NVL(commission_pct, 0)) AN_SAL FROM employees; 1 1 2 2
General Functions Using Single-Row Functions to Customize Output Using the NVL2 Function SELECT last_name, salary, commission_pct , NVL2(commission_pct, 'SAL+COMM', 'SAL') income FROM employees WHERE department_id IN (50, 80); 1 1 2 2
General Functions Using Single-Row Functions to Customize Output Using the NULLIF Function SELECT first_name, LENGTH(first_name) &quot;expr1&quot;, last_name, LENGTH(last_name) &quot;expr2&quot;, NULLIF(LENGTH(first_name), LENGTH(last_name))result FROM employees; 1 1 2 2 3 3
The advantage of the COALESCE function over the NVL function is that the COALESCE function can take multiple alternate values. If the first expression is not null, the COALESCE function returns that expression; otherwise, it does a COALESCE of the remaining expressions. Conditional Expressions Using Single-Row Functions to Customize Output Using the COALESCE Function
Conditional Expressions Using Single-Row Functions to Customize Output Using the COALESCE Function SELECT last_name, COALESCE(manager_id,commission_pct, -1) comm FROM employees ORDER BY commission_pct;
Provide the use of IF-THEN-ELSE logic within a SQL statement Use two methods: CASE expression DECODE function Conditional Expressions Using Single-Row Functions to Customize Output Conditional Expressions
Facilitates conditional inquiries by doing the work of an IF-THEN-ELSE statement: Conditional Expressions Using Single-Row Functions to Customize Output CASE Expression CASE expr WHEN comparison_expr1 THEN return_expr1 [WHEN comparison_expr2 THEN return_expr2 WHEN comparison_exprn THEN return_exprn ELSE else_expr] END
Conditional Expressions Using Single-Row Functions to Customize Output Using the CASE Expression SELECT last_name, job_id, salary, CASE job_id WHEN 'IT_PROG‘ THEN 1.10*salary WHEN 'ST_CLERK ' THEN 1.15*salary WHEN 'SA_REP ' THEN 1.20*salary ELSE salary END &quot;REVISED_SALARY&quot; FROM employees; … 20 rows selected. … …
Facilitates conditional inquiries by doing the work of a CASE expression or an IF-THEN-ELSE statement: Conditional Expressions Using Single-Row Functions to Customize Output DECODE Function DECODE(col|expression, search1, result1 [, search2, result2,...,] [, default])
Conditional Expressions Using Single-Row Functions to Customize Output Using the DECODE Function SELECT last_name, job_id, salary, DECODE(job_id, 'IT_PROG', 1.10*salary, 'ST_CLERK', 1.15*salary, 'SA_REP', 1.20*salary, salary) REVISED_SALARY FROM employees; … 20 rows selected. … …
Display the applicable tax rate for each employee in department 80: Conditional Expressions Using Single-Row Functions to Customize Output Using the DECODE Function SELECT last_name, salary, DECODE (TRUNC(salary/2000, 0), 0, 0.00, 1, 0.09, 2, 0.20, 3, 0.30, 4, 0.40, 5, 0.42, 6, 0.44, 0.45) TAX_RATE FROM employees WHERE department_id = 80;
Part 3 Summary SQL Functions Number Function Conversion Function Using Single-Row Functions to Customize Output Character Function Expression of condition Global Function
Part 3 Stop-and-think Using Single-Row Functions to Customize Output Do you have any questions ?
Reporting Aggregated Data Using the Group Functions Basic Orders
Presentation Creating groups Restricting Group Results Preview Reporting Aggregated Data Using the Group Functions
Group functions operate on sets of rows to give one result per group. Presentation Reporting Aggregated Data Using the Group Functions What Are Group Functions? EMPLOYEES Maximum salary in EMPLOYEES table
Presentation Reporting Aggregated Data Using the Group Functions AVG COUNT MAX MIN STDDEV SUM VARIANCE Types of Group Functions Group Functions
Presentation Reporting Aggregated Data Using the Group Functions SELECT [column,] group_function(column), ... FROM table [WHERE condition] [GROUP BY column] [ORDER BY column]; Group Functions: Syntax
Presentation Reporting Aggregated Data Using the Group Functions SELECT AVG(salary), MAX(salary), MIN(salary), SUM(salary) FROM employees WHERE job_id LIKE '%REP%'; You can use AVG and SUM for numeric data.
Presentation Reporting Aggregated Data Using the Group Functions SELECT MIN(hire_date), MAX(hire_date) FROM employees; You can use MIN and MAX for numeric, character, and date data types.
Presentation COUNT(*) returns the number of rows in a table: COUNT(expr ) returns the number of rows with non null values for the expr : Reporting Aggregated Data Using the Group Functions SELECT COUNT(*) FROM employees WHERE department_id = 50; Using the COUNT Function SELECT COUNT(commission_pct) FROM employees WHERE department_id = 80;
COUNT(DISTINCT expr) returns the number of distinct non-null values of the expr. To display the number of distinct department values in the EMPLOYEES table: Presentation Reporting Aggregated Data Using the Group Functions Using the DISTINCT Keyword SELECT COUNT(DISTINCT department_id) FROM employees;
Presentation Group functions ignore null values in the column: Reporting Aggregated Data Using the Group Functions SELECT AVG(commission_pct) FROM employees; Group Functions and Null Values SELECT AVG(NVL(commission_pct, 0)) FROM employees; The NVL function forces group functions to include null values:
Creating Groups Reporting Aggregated Data Using the Group Functions Creating Groups of Data EMPLOYEES 4400 9500 3500 6400 10033 Average salary in EMPLOYEES table for each department
You can divide rows in a table into smaller groups by using the GROUP BY clause. Creating Groups Reporting Aggregated Data Using the Group Functions GROUP BY Clause Syntax SELECT column, group_function(column) FROM table [WHERE condition] [GROUP BY group_by_expression] [ORDER BY column];
Creating Groups All columns in the SELECT list that are not in group functions must be in the GROUP BY clause. Reporting Aggregated Data Using the Group Functions SELECT department_id , AVG(salary) FROM employees GROUP BY department_id; Using the GROUP BY Clause
Creating Groups The GROUP BY column does not have to be in the SELECT list. Reporting Aggregated Data Using the Group Functions SELECT AVG(salary) FROM employees GROUP BY department_id ; Using the GROUP BY Clause
Creating Groups Reporting Aggregated Data Using the Group Functions Grouping by More Than One Column EMPLOYEES Add the salaries in the EMPLOYEES table for each job, grouped by department.
Creating Groups Reporting Aggregated Data Using the Group Functions SELECT department_id dept_id, job_id, SUM(salary) FROM employees GROUP BY department_id, job_id ; Using the GROUP BY Clause on Multiple Columns
Creating Groups Any column or expression in the SELECT list that is not an aggregate function must be in the GROUP BY clause: Reporting Aggregated Data Using the Group Functions SELECT department_id, COUNT(last_name) FROM employees; Illegal Queries Using Group Functions SELECT department_id, COUNT(last_name) * ERROR at line 1: ORA-00937: not a single-group group function Column missing in the GROUP BY clause
Creating Groups You cannot use the WHERE clause to restrict groups. You use the HAVING clause to restrict groups. You cannot use group functions in the WHERE clause. Reporting Aggregated Data Using the Group Functions SELECT department_id, AVG(salary) FROM employees WHERE AVG(salary) > 8000 GROUP BY department_id; Illegal Queries Using Group Functions WHERE AVG(salary) > 8000 * ERROR at line 3: ORA-00934: group function is not allowed here Cannot use the WHERE clause to restrict groups
Restricting Group Results Reporting Aggregated Data Using the Group Functions EMPLOYEES The maximum salary per department whien it is greater than $10,000
Restricting Group Results When you use the HAVING clause, the Oracle server restricts groups as follows: Rows are grouped. The group function is applied. Groups matching the HAVING clause are displayed. Reporting Aggregated Data Using the Group Functions SELECT column, group_function FROM table [WHERE condition] [GROUP BY group_by_expression] [HAVING group_condition] [ORDER BY column]; Restricting Group Results with the HAVING Clause
Restricting Group Results Reporting Aggregated Data Using the Group Functions SELECT department_id, MAX(salary) FROM employees GROUP BY department_id HAVING MAX(salary)>10000; Using the HAVING Clause
Restricting Group Results Reporting Aggregated Data Using the Group Functions SELECT job_id, SUM(salary) PAYROLL FROM employees WHERE job_id NOT LIKE '%REP%' GROUP BY job_id HAVING SUM(salary) > 13000 ORDER BY SUM(salary); Using the HAVING Clause
Restricting Group Results Reporting Aggregated Data Using the Group Functions SELECT MAX(AVG(salary)) FROM employees GROUP BY department_id; Display the maximum average salary:
Part 4 Summary Use the HAVING clause COUNT , MAX , MIN and AVG Use the GROUP BY clause Reporting Aggregated Data Using the Group Functions
Part 4 Stop-and-think Reporting Aggregated Data Using the Group Functions Do you have any questions ?
For more If you want to go into these subjects more deeply, … Courses SQLP 10g ADVANCED RECOVERY Sites web www.supinfo.com www.labo-oracle.com Basic Orders
Congratulations You have successfully completed the SUPINFO course n°2 ORACLE Basic Orders
The end Basic Orders

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01 basic orders

  • 1. Campus-Booster ID: **XXXXX Basic Orders www.supinfo.com Copyright © SUPINFO . All rights reserved
  • 2. Votre formateur… Formation Etudiant SUPINFO en 4 ème année SCT Oracle pour la 2 ème année Certifications 1Z0-007 Introduction to Oracle 9 i SQL 1Z0-147 PL/SQL Development Pour me contacter [email_address] (MSN) SUPINFOne : 145776 ID Booster : 45776 Sébastien VITA Basic Orders
  • 3. Course objectives Execute a basic SELECT statement Limit and sort the rows that are retrieved by a query Describe various types of functions that are available in SQL Describe the use of group functions By completing this course, you will be able to: Basic Orders
  • 4. Course topics Retrieving Data Using the SQL SELECT Statement Restricting and Sorting Data Using Single-Row Functions to Customize Output Reporting Aggregated Data Using the Group Functions Course’s plan: Basic Orders
  • 5. Retrieving Data Using the SQL SELECT Statement Basic Orders
  • 6. What is the SELECT statement ? Arithmetic Expressions. Other SELECT Possibilities. Using i SQL*Plus. Preview Retrieving Data Using the SQL SELECT Statement
  • 7. What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Projection Selection Join Table 1 Table 2 Table 1 Table 1
  • 8. SELECT identifies the column to be displayed FROM identifies the table containing those columns What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Basic SELECT statement: SELECT *|{[DISTINCT] column | expression [ alias ],...} FROM table;
  • 9. What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Selecting all columns: SELECT * FROM departments;
  • 10. What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Selecting specific columns: SELECT department_id, location_id FROM departments;
  • 11. SQL statements are not case-sensitive. SQL statements can be on one or more lines. Keywords cannot be abbreviated or split across lines. Clauses are usually placed on separate lines. Indents are used to enhance readability. In i SQL*Plus, SQL statements can optionally be terminated by a semicolon ( ; ). Semicolons are required if you execute multiple SQL statements. In SQL*plus, you are required to end each SQL statement with a semicolon ( ; ). What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement
  • 12. i SQL*Plus: Default heading alignment: Center Default heading display: Uppercase SQL*Plus: Character and Date column headings are left aligned Number column headings are right-aligned Default heading display: Uppercase What is the SELECT statement ? Retrieving Data Using the SQL SELECT Statement Column Heading Defaults:
  • 13. Arithmetic Expressions Operator Description + Add - Subtract Multiply Divide * / Retrieving Data Using the SQL SELECT Statement Create expressions with number and date data by using arithmetic operators.
  • 14. Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Using Arithmetic Operators: SELECT last_name, salary, salary + 300 FROM employees;
  • 15. Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Operator Precedence: SELECT last_name, salary, 12*salary+100 FROM employees; SELECT last_name, salary, 12*(salary+100) FROM employees;
  • 16. A null is a value that is unavailable, unassigned, unknown, or inapplicable. A null is not the same as a zero or a blank space. Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Defining a Null Value: SELECT last_name, job_id, salary, commission_pct FROM employees;
  • 17. Arithmetic expressions containing a null value evaluate to null. Arithmetic Expressions Retrieving Data Using the SQL SELECT Statement Null Values in Arithmetic Expressions: SELECT last_name, 12*salary*commission_pct FROM employees;
  • 18. A column alias: Renames a column heading Is useful with calculations Immediately follows the column name (There can also be the optional AS keyword between the column name and alias.) Requires double quotation marks if it contains spaces or special characters or if it is case sensitive Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Defining a Column Alias:
  • 19. Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Using Column Aliases: SELECT last_name AS name , commission_pct comm FROM employees; SELECT last_name &quot;Name&quot; , salary*12 &quot;Annual Salary&quot; FROM employees;
  • 20. Links columns or character strings to other columns Is represented by two vertical bars ( || ) Creates a resultant column that is a character expression Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Concatenation Operator: SELECT last_name || job_id AS &quot;Employees&quot; FROM employees;
  • 21. A literal is a character, a number, or a date that is included in the SELECT statement. Date and character literal values must be enclosed by single quotation marks. Each character string is output once for each row returned. Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Literal Character Strings:
  • 22. Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Using Literal Character Strings: SELECT last_name || ' is a ' || job_id AS &quot;Employee Details&quot; FROM employees;
  • 23. Specify your own quotation mark delimiter Choose any delimiter Increase readability and usability Other SELECT Possibilities Retrieving Data Using the SQL SELECT Statement Alternative Quote ( q ) Operator: SELECT department_name || q'[, it's assigned Manager Id: ]' || manager_id AS &quot;Department and Manager&quot; FROM departments;
  • 24. The default display of queries is all rows, including duplicate rows. Other SELECT Possibilities SELECT DISTINCT department_id FROM employees; Retrieving Data Using the SQL SELECT Statement Duplicate Rows: SELECT department_id FROM employees;
  • 25. Using i SQL*Plus SQL statements Internet browser i SQL*Plus commands Query Result Formatted report Client Retrieving Data Using the SQL SELECT Statement SQL and i SQL*Plus Interaction:
  • 26. Using i SQL*Plus SQL i SQL*Plus A language An environment ANSI standard Oracle-proprietary Keywords can be abbreviated Commands do not allow manipulation of values in the database Keyword cannot be abbreviated Statements manipulate data and table definitions in the database Retrieving Data Using the SQL SELECT Statement SQL Statements Versus i SQL*Plus Commands: Runs on a browser Centrally loaded; does not have to be implemented on each machine
  • 27. After you log in to i SQL*Plus, you can: Describe table structures Enter, execute, and edit SQL statements Save or append SQL statements to files Execute or edit statements that are stored in saved script files Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement Overview of i SQL*Plus:
  • 28. From your browser environment Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement Logging In to i SQL*Plus:
  • 29. Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement i SQL*Plus Environment: 1 2 3 4 5 6 7 8 9
  • 30. Use the i SQL*Plus DESCRIBE command to display the structure of a table: Using i SQL*Plus DESCRIBE employees Retrieving Data Using the SQL SELECT Statement Displaying Table Structure: DESC[RIBE] tablename Example:
  • 31. Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement 1 2
  • 32. Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement
  • 33. Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement 1
  • 34. Using i SQL*Plus Interacting with Script Files: Retrieving Data Using the SQL SELECT Statement 3 2
  • 35. Using i SQL*Plus i SQL*Plus History Page: Retrieving Data Using the SQL SELECT Statement 2 1 3
  • 36. Using i SQL*Plus i SQL*Plus History Page: Retrieving Data Using the SQL SELECT Statement 5 4
  • 37. Using i SQL*Plus Setting i SQL*Plus Preferences: Retrieving Data Using the SQL SELECT Statement 2 1 3
  • 38. Using i SQL*Plus Setting the Output Location Preference: Retrieving Data Using the SQL SELECT Statement 1 2
  • 39. Part 1 Summary What is the SELECT statement Arithmetic Expressions Using i SQL*Plus Retrieving Data Using the SQL SELECT Statement Other SELECT Possibilities
  • 40. Part 1 Stop-and-think Retrieving Data Using the SQL SELECT Statement Do you have any questions ?
  • 41. Restricting and Sorting Data Basic Orders
  • 42. Preview How to Restrict Data Comparison Conditions Logical Conditions How to Sort Data Substitution Variables Restricting and Sorting Data
  • 43. How to Restrict Data Restricting and Sorting Data “ retrieve all employees in department 90”
  • 44. Restrict the rows that are returned by using the WHERE clause: How to Restrict Data Restricting and Sorting Data Limiting the Rows That Are Selected: SELECT *|{[DISTINCT] column|expression [alias],...} FROM table [WHERE condition(s)] ; The WHERE clause follows the FROM clause.
  • 45. How to Restrict Data Restricting and Sorting Data Using the WHERE Clause: SELECT employee_id, last_name, job_id, department_id FROM employees WHERE department_id = 90 ;
  • 46. Character strings and date values are enclosed by single quotation marks. Character values are case-sensitive, and date values are format-sensitive. The default date format is DD-MON-RR . How to Restrict Data Restricting and Sorting Data Character Strings and Dates: SELECT last_name, job_id, department_id FROM employees WHERE last_name = 'Whalen' ;
  • 47. Comparison Conditions Operator Meaning = Equal to > Greater than Greater than or equal to Less than >= < Restricting and Sorting Data Create expressions with number and date data by using arithmetic operators. <= Less than or equal to Not equal to Between two values (inclusive) <> BETWEEN … AND … IN (set) Match any of a list of values Match a character pattern Is a null value LIKE IS NULL
  • 48. Comparison Conditions Restricting and Sorting Data Using Comparison Conditions: SELECT last_name, salary FROM employees WHERE salary <= 3000 ;
  • 49. Use the BETWEEN condition to display rows based on a range of values: Comparison Conditions Restricting and Sorting Data Using the BETWEEN Condition: SELECT last_name, salary FROM employees WHERE salary BETWEEN 2500 AND 3500 ; Lower limit Upper limit
  • 50. Use the IN membership condition to test for values in a list: Comparison Conditions Restricting and Sorting Data Using the IN Condition: SELECT employee_id, last_name, salary, manager_id FROM employees WHERE manager_id IN (100, 101, 201) ;
  • 51. Use the LIKE condition to perform wildcard searches of valid search string values. Search conditions can contain either literal characters or numbers: % denotes zero or many characters. _ denotes one character. Comparison Conditions Restricting and Sorting Data Using the LIKE Condition: SELECT first_name FROM employees WHERE first_name LIKE 'S%' ;
  • 52. You can combine pattern-matching characters : Comparison Conditions Restricting and Sorting Data Using the LIKE Condition: SELECT first_name FROM employees WHERE first_name LIKE '_o%' ;
  • 53. Comparison Conditions You can use the ESCAPE identifier to search for the actual % and _ symbols. Restricting and Sorting Data ESCAPE identifier: SELECT employee_id, job_id FROM employees WHERE job_id LIKE 'SA\_R%' ESCAPE '\';
  • 54. Test for nulls with the IS NULL operator. Comparison Conditions Restricting and Sorting Data Using the IS NULL Condition: SELECT last_name, manager_id FROM employees WHERE manager_id IS NULL ;
  • 55. Logical Conditions Operator Meaning AND Returns TRUE if both component conditions are true OR Returns TRUE if either component condition is true Returns TRUE if the following condition is false NOT Restricting and Sorting Data
  • 56. AND requires both conditions to be true: Logical Conditions Restricting and Sorting Data Using the AND Operator: SELECT employee_id, last_name, job_id, salary FROM employees WHERE salary >= 10000 AND job_id LIKE '%MAN%';
  • 57. OR requires either condition to be true: Logical Conditions Restricting and Sorting Data Using the OR Operator: SELECT employee_id, last_name, job_id, salary FROM employees WHERE salary >= 10000 OR job_id LIKE '%MAN%';
  • 58. Logical Conditions Restricting and Sorting Data Using the NOT Operator: SELECT last_name, job_id FROM employees WHERE job_id NOT IN ('IT_PROG', 'ST_CLERK', 'SA_REP‘);
  • 59. Logical Conditions You can use parentheses to override rules of precedence. Order Operators 1 Arithmetic operators 2 Concatenation operator Comparison conditions IS [ NOT ] NULL , LIKE , [ NOT ] IN 3 4 Restricting and Sorting Data Rules of Precedence 5 [ NOT ] BETWEEN Not equal to NOT logical condition 6 7 8 AND logical condition OR logical condition 9
  • 60. Logical Conditions Restricting and Sorting Data Rules of Precedence SELECT last_name, job_id, salary FROM employees WHERE job_id = 'SA_REP' OR job_id = 'AD_PRES ' AND salary > 15000; SELECT last_name, job_id, salary FROM employees WHERE (job_id = 'SA_REP' OR job_id = 'AD_PRES') AND salary > 15000;
  • 61. Sort retrieved rows with the ORDER BY clause: ASC : ascending order, default DESC : descending order The ORDER BY clause comes last in the SELECT statement: How to Sort Data Restricting and Sorting Data Using the ORDER BY Clause: SELECT last_name, job_id, department_id, hire_date FROM employees ORDER BY hire_date ;
  • 62. Sorting in descending order: How to Sort Data Restricting and Sorting Data Sorting: SELECT last_name, job_id, department_id, hire_date FROM employees ORDER BY hire_date DESC ; Sorting by column alias: SELECT employee_id, last_name, salary*12 annsal FROM employees ORDER BY annsal ; Sorting by multiple columns: SELECT last_name, department_id, salary FROM employees ORDER BY department_id, salary DESC;
  • 63. Substitution Variables Restricting and Sorting Data I want to query different values. ... salary = ? ... ... department_id = ? ... ... last_name = ? ...
  • 64. Use i SQL*Plus substitution variables to: Temporarily store values with single-ampersand ( & ) and double-ampersand ( && ) substitution Use substitution variables to supplement the following: WHERE conditions ORDER BY clauses Column expressions Table names Entire SELECT statements Substitution Variables Restricting and Sorting Data
  • 65. Use a variable prefixed with an ampersand ( & ) to prompt the user for a value: Substitution Variables Restricting and Sorting Data SELECT employee_id, last_name, salary, department_id FROM employees WHERE employee_id = &employee_num ;
  • 66. Substitution Variables Using the & Substitution Variable: Restricting and Sorting Data 2 1
  • 67. Use single quotation marks for date and character values: Substitution Variables Restricting and Sorting Data SELECT last_name, department_id, salary*12 FROM employees WHERE job_id = '&job_title'; Character and Date Values with Substitution Variables:
  • 68. Substitution Variables Restricting and Sorting Data SELECT employee_id, last_name, job_id, &column_name FROM employees WHERE &condition ORDER BY &order_column ; Specifying Column Names, Expressions, and Text:
  • 69. Use the double ampersand ( && ) if you want to reuse the variable value without prompting the user each time: Substitution Variables Restricting and Sorting Data SELECT employee_id, last_name, job_id, &&column_name FROM employees ORDER BY &column_name ; Using the && Substitution Variable:
  • 70. Use the i SQL*Plus DEFINE command to create and assign a value to a variable. Use the i SQL*Plus UNDEFINE command to remove a variable. Substitution Variables Restricting and Sorting Data DEFINE employee_num = 200 SELECT employee_id, last_name, salary, department_id FROM employees WHERE employee_id = &employee_num ; UNDEFINE employee_num Using the i SQL*Plus DEFINE Command:
  • 71. Use the VERIFY command to toggle the display of the substitution variable, both before and after i SQL*Plus replaces substitution variables with values: Substitution Variables Restricting and Sorting Data SET VERIFY ON SELECT employee_id, last_name, salary, department_id FROM employees WHERE employee_id = &employee_num; Using the VERIFY Command: old 3: WHERE employee_id = &employee_num new 3: WHERE employee_id = 200
  • 72. Part 2 Summary How to Restrict Data Comparison Conditions How to Sort Data Restricting and Sorting Data Logical Conditions Substitution Variables
  • 73. Part 2 Stop-and-think Restricting and Sorting Data Do you have any questions ?
  • 74. Using Single-Row Functions to Customize Output Basic Orders
  • 75. SQL Functions. Character Functions. Number Functions. Date Functions. Conversion Functions. General Functions. Conditional Expressions Preview Using Single-Row Functions to Customize Output
  • 76. SQL Functions Using Single-Row Functions to Customize Output FUNCTION Result Value Output Input arg 1 arg 2 arg n Functions performs actions
  • 77. SQL Functions Using Single-Row Functions to Customize Output FUNCTION Single-row functions Multiple-row functions Return one result per row Return one result per set of rows Two Types of SQL Functions
  • 78. Manipulate data items Accept arguments and return one value Act on each row that is returned Return one result per row May modify the data type Can be nested Accept arguments that can be a column or an expression SQL Functions Using Single-Row Functions to Customize Output Single-row functions: function_name [(arg1, arg2,...)]
  • 79. SQL Functions Using Single-Row Functions to Customize Output Single-row functions: Conversion Date Character General Number Single-row functions
  • 80. Character Functions Using Single-Row Functions to Customize Output Case-manipulation functions Character functions Character-manipulation functions LOWER UPPER INITCAP CONCAT SUBSTR LENGTH INSTR LPAD | RPAD TRIM REPLACE
  • 81. Character Functions Function Result LOWER('SQL Course') sql course UPPER('SQL Course') SQL COURSE Sql Course INITCAP('SQL Course') Using Single-Row Functions to Customize Output Using Case-Manipulation Functions These functions convert case for character strings:
  • 82. Character Functions Using Single-Row Functions to Customize Output SELECT employee_id, last_name, department_id FROM employees WHERE last_name = 'higgins' ; no rows selected SELECT employee_id, last_name, department_id FROM employees WHERE LOWER(last_name) = 'higgins'; Using Case-Manipulation Functions Display the employee number, name, and department number for employee Higgins:
  • 83. Character Functions Function Result CONCAT('Hello', 'World') HelloWorld SUBSTR('HelloWorld',1,5) Hello 10 6 LENGTH('HelloWorld') INSTR('HelloWorld', 'W') Using Single-Row Functions to Customize Output These functions manipulate character strings: *****24000 LPAD(salary,10,'*') 24000***** RPAD(salary, 10, '*') BLACK and BLUE REPLACE('JACK and JUE','J','BL') elloWorld TRIM('H' FROM 'HelloWorld')
  • 84. Character Functions Using Single-Row Functions to Customize Output SELECT employee_id, CONCAT(first_name, last_name) NAME,job_id, LENGTH (last_name), INSTR(last_name, 'a') &quot;Contains 'a'?&quot; FROM employees WHERE SUBSTR(job_id, 4) = 'REP'; Using the Character-Manipulation Functions 1 1 2 2 3 3
  • 85. Number Functions ROUND : Rounds value to specified decimal TRUNC : Truncates value to specified decimal MOD : Returns remainder of division Function Result ROUND(45.926, 2) 45.93 TRUNC(45.926, 2) 45.92 100 MOD(1600, 300) Using Single-Row Functions to Customize Output
  • 86. Number Functions Using Single-Row Functions to Customize Output Using the ROUND Function SELECT ROUND(45.923,2), ROUND(45.923,0), ROUND(45.923,-1) FROM DUAL; 1 1 2 2 3 3 DUAL is a dummy table that you can use to view results from functions and calculations.
  • 87. Number Functions Using Single-Row Functions to Customize Output Using the TRUNC Function SELECT TRUNC(45.923,2), TRUNC(45.923), TRUNC(45.923,-1) FROM DUAL; 1 1 2 2 3 3
  • 88. Number Functions Using Single-Row Functions to Customize Output Using the MOD Function SELECT last_name, salary, MOD(salary, 5000) FROM employees WHERE job_id = 'SA_REP'; For all employees with job title of Sales Representative, calculate the remainder of the salary after it is divided by 5,000.
  • 89. Date Functions The Oracle database stores dates in an internal numeric format: century, year, month, day, hours, minutes, and seconds. The default date display format is DD-MON-RR . Enables you to store 21st-century dates in the 20th century by specifying only the last two digits of the year Enables you to store 20th-century dates in the 21st century in the same way Using Single-Row Functions to Customize Output Working with Dates SELECT last_name, hire_date FROM employees WHERE hire_date < '01-FEB-88';
  • 90. Date Functions SYSDATE is a function that returns: Date Time Using Single-Row Functions to Customize Output Working with Dates
  • 91. Date Functions Add or subtract a number to or from a date for a resultant date value. Subtract two dates to find the number of days between those dates. Add hours to a date by dividing the number of hours by 24. Using Single-Row Functions to Customize Output Arithmetic with Dates
  • 92. Date Functions Using Single-Row Functions to Customize Output Using Arithmetic Operators with Dates SELECT last_name, (SYSDATE-hire_date)/7 AS WEEKS FROM employees WHERE department_id = 90;
  • 93. Date Functions Function Result MONTHS_BETWEEN Number of months between two dates ADD_MONTHS Add calendar months to date Next day of the date specified NEXT_DAY Using Single-Row Functions to Customize Output LAST_DAY Last day of the month ROUND Round date Truncate date TRUNC
  • 94. Date Functions Function Result MONTHS_BETWEEN ('01-SEP-95','11-JAN-94') 19.6774194 ADD_MONTHS ('11-JAN-94',6) '11-JUL-94 ' '08-SEP-95 ' NEXT_DAY ('01-SEP-95','FRIDAY') Using Single-Row Functions to Customize Output LAST_DAY ('01-FEB-95') '28-FEB-95 '
  • 95. Date Functions Function Result ROUND(SYSDATE,'MONTH') 01-AUG-03 ROUND(SYSDATE,'YEAR') 01-JAN-04 01-JUL-03 TRUNC(SYSDATE,'MONTH') Using Single-Row Functions to Customize Output Example Assume SYSDATE = '25-JUL-03' : TRUNC(SYSDATE,'YEAR') 01-JAN-03
  • 96. Conversion Functions Using Single-Row Functions to Customize Output Implicit data type conversion Explicit data type conversion Data type conversion
  • 97. Conversion Functions For assignments, the Oracle server can automatically convert the following: From To VARCHAR2 or CHAR NUMBER VARCHAR2 or CHAR DATE VARCHAR2 NUMBER Using Single-Row Functions to Customize Output Implicit Data Type Conversion DATE VARCHAR2
  • 98. Conversion Functions For expression evaluation, the Oracle Server can automatically convert the following: From To VARCHAR2 or CHAR NUMBER VARCHAR2 or CHAR DATE Using Single-Row Functions to Customize Output Implicit Data Type Conversion
  • 99. Conversion Functions Retrieving Data Using the SQL SELECT Statement Explicit Data Type Conversion TO_DATE DATE TO_CHAR TO_NUMBER TO_CHAR NUMBER CHARACTER
  • 100. The format model: Must be enclosed by single quotation marks Is case-sensitive Can include any valid date format element Has an fm element to remove padded blanks or suppress leading zeros Is separated from the date value by a comma Conversion Functions Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Dates TO_CHAR(date, 'format_model')
  • 101. Conversion Functions Element Result YYYY Full year in numbers YEAR Year spelled out (in English) Two-digit value for month Full name of the month MM MONTH Using Single-Row Functions to Customize Output Elements of the Date Format Model Three-letter abbreviation of the month MON Three-letter abbreviation of the day of the week DY Full name of the day of the week DAY Numeric day of the month DD
  • 102. Time elements format the time portion of the date: Add character strings by enclosing them in double quotation marks: Number suffixes spell out numbers: Conversion Functions Using Single-Row Functions to Customize Output Elements of the Date Format Model HH24:MI:SS AM 15:45:32 PM DD &quot;of&quot; MONTH 12 of OCTOBER ddspth fourteenth
  • 103. Conversion Functions Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Dates SELECT last_name, TO_CHAR(hire_date, 'fmDD Month YYYY') AS HIREDATE FROM employees; … 20 rows selected.
  • 104. Conversion Functions These are some of the format elements that you can use with the TO_CHAR function to display a number value as a character: Element Result 9 Represents a number 0 Forces a zero to be displayed Places a floating dollar sign $ Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Numbers L Uses the floating local currency symbol . Prints a decimal point TO_CHAR(number, 'format_model') , Prints a comma as thousands indicator
  • 105. Conversion Functions Using Single-Row Functions to Customize Output Using the TO_CHAR Function with Numbers SELECT TO_CHAR(salary, '$99,999.00') SALARY FROM employees WHERE last_name = 'Ernst';
  • 106. Convert a character string to a number format using the TO_NUMBER function: Convert a character string to a date format using the TO_DATE function: These functions have an fx modifier. This modifier specifies the exact matching for the character argument and date format model of a TO_DATE function. Conversion Functions Using Single-Row Functions to Customize Output Using the TO_NUMBER and TO_DATE Functions: TO_NUMBER(char[, 'format_model']) TO_DATE(char[, 'format_model'])
  • 107. Conversion Functions Using Single-Row Functions to Customize Output RR Date Format If two digits of the current year are: 0-49 50-99 0-49 If the specified two-digit year is: 50-99 The return date is in the current century The return date is in the century before the current one The return date is in the century after the current one The return date is in the current century
  • 108. Conversion Functions Using Single-Row Functions to Customize Output RR Date Format Current Year 1995 1995 2001 2001 Specified Date 27-OCT-95 27-OCT-17 27-OCT-17 27-OCT-95 RR Format 1995 2017 2017 1995 YY Format 1995 1917 2017 2095
  • 109. To find employees hired prior to 1990, use the RR date format, which produces the same results whether the command is run in 1999 or now: Conversion Functions Using Single-Row Functions to Customize Output Example of RR Date Format SELECT last_name,TO_CHAR(hire_date,'DD-Mon-YYYY') FROM employees WHERE hire_date < TO_DATE('01-Jan-90','DD-Mon-RR');
  • 110. Single-row functions can be nested to any level. Nested functions are evaluated from deepest level to the least deep level. Conversion Functions Using Single-Row Functions to Customize Output Nesting Functions F3 ( F2 ( F1( col, arg1 ) , arg2 ), arg3 ) Step 3 = Result 3 Step 2 = Result 2 Step 1 = Result 1
  • 111. Conversion Functions Using Single-Row Functions to Customize Output Nesting Functions SELECT last_name, UPPER(CONCAT(SUBSTR(LAST_NAME,1,8),'_US')) FROM employees WHERE department_id = 60;
  • 112. The following functions work with any data type and pertain to using nulls: NVL (expr1, expr2) NVL2 (expr1, expr2, expr3) NULLIF (expr1, expr2) COALESCE (expr1, expr2, ..., exprn) General Functions Using Single-Row Functions to Customize Output
  • 113. Converts a null value to an actual value: Data types that can be used are date, character, and number. Data types must match: NVL(commission_pct,0) NVL(hire_date,'01-JAN-97') NVL(job_id,'No Job Yet') General Functions Using Single-Row Functions to Customize Output NVL Function
  • 114. General Functions Using Single-Row Functions to Customize Output Using the NVL Function SELECT last_name, salary, NVL(commission_pct, 0), (salary*12) + (salary*12*NVL(commission_pct, 0)) AN_SAL FROM employees; 1 1 2 2
  • 115. General Functions Using Single-Row Functions to Customize Output Using the NVL2 Function SELECT last_name, salary, commission_pct , NVL2(commission_pct, 'SAL+COMM', 'SAL') income FROM employees WHERE department_id IN (50, 80); 1 1 2 2
  • 116. General Functions Using Single-Row Functions to Customize Output Using the NULLIF Function SELECT first_name, LENGTH(first_name) &quot;expr1&quot;, last_name, LENGTH(last_name) &quot;expr2&quot;, NULLIF(LENGTH(first_name), LENGTH(last_name))result FROM employees; 1 1 2 2 3 3
  • 117. The advantage of the COALESCE function over the NVL function is that the COALESCE function can take multiple alternate values. If the first expression is not null, the COALESCE function returns that expression; otherwise, it does a COALESCE of the remaining expressions. Conditional Expressions Using Single-Row Functions to Customize Output Using the COALESCE Function
  • 118. Conditional Expressions Using Single-Row Functions to Customize Output Using the COALESCE Function SELECT last_name, COALESCE(manager_id,commission_pct, -1) comm FROM employees ORDER BY commission_pct;
  • 119. Provide the use of IF-THEN-ELSE logic within a SQL statement Use two methods: CASE expression DECODE function Conditional Expressions Using Single-Row Functions to Customize Output Conditional Expressions
  • 120. Facilitates conditional inquiries by doing the work of an IF-THEN-ELSE statement: Conditional Expressions Using Single-Row Functions to Customize Output CASE Expression CASE expr WHEN comparison_expr1 THEN return_expr1 [WHEN comparison_expr2 THEN return_expr2 WHEN comparison_exprn THEN return_exprn ELSE else_expr] END
  • 121. Conditional Expressions Using Single-Row Functions to Customize Output Using the CASE Expression SELECT last_name, job_id, salary, CASE job_id WHEN 'IT_PROG‘ THEN 1.10*salary WHEN 'ST_CLERK ' THEN 1.15*salary WHEN 'SA_REP ' THEN 1.20*salary ELSE salary END &quot;REVISED_SALARY&quot; FROM employees; … 20 rows selected. … …
  • 122. Facilitates conditional inquiries by doing the work of a CASE expression or an IF-THEN-ELSE statement: Conditional Expressions Using Single-Row Functions to Customize Output DECODE Function DECODE(col|expression, search1, result1 [, search2, result2,...,] [, default])
  • 123. Conditional Expressions Using Single-Row Functions to Customize Output Using the DECODE Function SELECT last_name, job_id, salary, DECODE(job_id, 'IT_PROG', 1.10*salary, 'ST_CLERK', 1.15*salary, 'SA_REP', 1.20*salary, salary) REVISED_SALARY FROM employees; … 20 rows selected. … …
  • 124. Display the applicable tax rate for each employee in department 80: Conditional Expressions Using Single-Row Functions to Customize Output Using the DECODE Function SELECT last_name, salary, DECODE (TRUNC(salary/2000, 0), 0, 0.00, 1, 0.09, 2, 0.20, 3, 0.30, 4, 0.40, 5, 0.42, 6, 0.44, 0.45) TAX_RATE FROM employees WHERE department_id = 80;
  • 125. Part 3 Summary SQL Functions Number Function Conversion Function Using Single-Row Functions to Customize Output Character Function Expression of condition Global Function
  • 126. Part 3 Stop-and-think Using Single-Row Functions to Customize Output Do you have any questions ?
  • 127. Reporting Aggregated Data Using the Group Functions Basic Orders
  • 128. Presentation Creating groups Restricting Group Results Preview Reporting Aggregated Data Using the Group Functions
  • 129. Group functions operate on sets of rows to give one result per group. Presentation Reporting Aggregated Data Using the Group Functions What Are Group Functions? EMPLOYEES Maximum salary in EMPLOYEES table
  • 130. Presentation Reporting Aggregated Data Using the Group Functions AVG COUNT MAX MIN STDDEV SUM VARIANCE Types of Group Functions Group Functions
  • 131. Presentation Reporting Aggregated Data Using the Group Functions SELECT [column,] group_function(column), ... FROM table [WHERE condition] [GROUP BY column] [ORDER BY column]; Group Functions: Syntax
  • 132. Presentation Reporting Aggregated Data Using the Group Functions SELECT AVG(salary), MAX(salary), MIN(salary), SUM(salary) FROM employees WHERE job_id LIKE '%REP%'; You can use AVG and SUM for numeric data.
  • 133. Presentation Reporting Aggregated Data Using the Group Functions SELECT MIN(hire_date), MAX(hire_date) FROM employees; You can use MIN and MAX for numeric, character, and date data types.
  • 134. Presentation COUNT(*) returns the number of rows in a table: COUNT(expr ) returns the number of rows with non null values for the expr : Reporting Aggregated Data Using the Group Functions SELECT COUNT(*) FROM employees WHERE department_id = 50; Using the COUNT Function SELECT COUNT(commission_pct) FROM employees WHERE department_id = 80;
  • 135. COUNT(DISTINCT expr) returns the number of distinct non-null values of the expr. To display the number of distinct department values in the EMPLOYEES table: Presentation Reporting Aggregated Data Using the Group Functions Using the DISTINCT Keyword SELECT COUNT(DISTINCT department_id) FROM employees;
  • 136. Presentation Group functions ignore null values in the column: Reporting Aggregated Data Using the Group Functions SELECT AVG(commission_pct) FROM employees; Group Functions and Null Values SELECT AVG(NVL(commission_pct, 0)) FROM employees; The NVL function forces group functions to include null values:
  • 137. Creating Groups Reporting Aggregated Data Using the Group Functions Creating Groups of Data EMPLOYEES 4400 9500 3500 6400 10033 Average salary in EMPLOYEES table for each department
  • 138. You can divide rows in a table into smaller groups by using the GROUP BY clause. Creating Groups Reporting Aggregated Data Using the Group Functions GROUP BY Clause Syntax SELECT column, group_function(column) FROM table [WHERE condition] [GROUP BY group_by_expression] [ORDER BY column];
  • 139. Creating Groups All columns in the SELECT list that are not in group functions must be in the GROUP BY clause. Reporting Aggregated Data Using the Group Functions SELECT department_id , AVG(salary) FROM employees GROUP BY department_id; Using the GROUP BY Clause
  • 140. Creating Groups The GROUP BY column does not have to be in the SELECT list. Reporting Aggregated Data Using the Group Functions SELECT AVG(salary) FROM employees GROUP BY department_id ; Using the GROUP BY Clause
  • 141. Creating Groups Reporting Aggregated Data Using the Group Functions Grouping by More Than One Column EMPLOYEES Add the salaries in the EMPLOYEES table for each job, grouped by department.
  • 142. Creating Groups Reporting Aggregated Data Using the Group Functions SELECT department_id dept_id, job_id, SUM(salary) FROM employees GROUP BY department_id, job_id ; Using the GROUP BY Clause on Multiple Columns
  • 143. Creating Groups Any column or expression in the SELECT list that is not an aggregate function must be in the GROUP BY clause: Reporting Aggregated Data Using the Group Functions SELECT department_id, COUNT(last_name) FROM employees; Illegal Queries Using Group Functions SELECT department_id, COUNT(last_name) * ERROR at line 1: ORA-00937: not a single-group group function Column missing in the GROUP BY clause
  • 144. Creating Groups You cannot use the WHERE clause to restrict groups. You use the HAVING clause to restrict groups. You cannot use group functions in the WHERE clause. Reporting Aggregated Data Using the Group Functions SELECT department_id, AVG(salary) FROM employees WHERE AVG(salary) > 8000 GROUP BY department_id; Illegal Queries Using Group Functions WHERE AVG(salary) > 8000 * ERROR at line 3: ORA-00934: group function is not allowed here Cannot use the WHERE clause to restrict groups
  • 145. Restricting Group Results Reporting Aggregated Data Using the Group Functions EMPLOYEES The maximum salary per department whien it is greater than $10,000
  • 146. Restricting Group Results When you use the HAVING clause, the Oracle server restricts groups as follows: Rows are grouped. The group function is applied. Groups matching the HAVING clause are displayed. Reporting Aggregated Data Using the Group Functions SELECT column, group_function FROM table [WHERE condition] [GROUP BY group_by_expression] [HAVING group_condition] [ORDER BY column]; Restricting Group Results with the HAVING Clause
  • 147. Restricting Group Results Reporting Aggregated Data Using the Group Functions SELECT department_id, MAX(salary) FROM employees GROUP BY department_id HAVING MAX(salary)>10000; Using the HAVING Clause
  • 148. Restricting Group Results Reporting Aggregated Data Using the Group Functions SELECT job_id, SUM(salary) PAYROLL FROM employees WHERE job_id NOT LIKE '%REP%' GROUP BY job_id HAVING SUM(salary) > 13000 ORDER BY SUM(salary); Using the HAVING Clause
  • 149. Restricting Group Results Reporting Aggregated Data Using the Group Functions SELECT MAX(AVG(salary)) FROM employees GROUP BY department_id; Display the maximum average salary:
  • 150. Part 4 Summary Use the HAVING clause COUNT , MAX , MIN and AVG Use the GROUP BY clause Reporting Aggregated Data Using the Group Functions
  • 151. Part 4 Stop-and-think Reporting Aggregated Data Using the Group Functions Do you have any questions ?
  • 152. For more If you want to go into these subjects more deeply, … Courses SQLP 10g ADVANCED RECOVERY Sites web www.supinfo.com www.labo-oracle.com Basic Orders
  • 153. Congratulations You have successfully completed the SUPINFO course n°2 ORACLE Basic Orders
  • 154. The end Basic Orders

Editor's Notes

  • #2: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #3: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #4: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #5: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #6: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #7: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To extract data from the database, you need to use the structured query language (SQL) SELECT statement. You may need to restrict the columns that are displayed. This lesson describes all the SQL statements that are needed to perform these actions. You may want to create SELECT statements that can be used more than once. This lesson also covers the i SQL*Plus environment in which you execute SQL statements.
  • #8: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. A SELECT statement retrieves information from the database. With a SELECT statement, you can use the following capabilities: • Projection: Choose the columns in a table that are returned by a query. Choose as few or as many of the columns as needed • Selection: Choose the rows in a table that are returned by a query. Various criteria can be used to restrict the rows that are retrieved. • Joining: Bring together data that is stored in different tables by specifying the link between them. SQL joins are covered in more detail in a later lesson.
  • #9: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In its simplest form, a SELECT statement must include the following: • A SELECT clause, which specifies the columns to be displayed • A FROM clause, which identifies the table containing the columns that are listed in the SELECT clause In the syntax: SELECT is a list of one or more columns * selects all columns DISTINCT suppresses duplicates column|expression selects the named column or the expression alias gives selected columns different headings FROM table specifies the table containing the columns Note: 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. For example, SELECT employee_id, last_name, ... is a clause. • A statement is a combination of two or more clauses. For example, SELECT * FROM employees is a SQL statement.
  • #10: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can display all columns of data in a table by following the SELECT keyword with an asterisk (*). In the example in the slide, the department table contains four columns: DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, and LOCATION_ID. The table contains seven rows, one for each department. You can also display all columns in the table by listing all the columns after the SELECT keyword. For example, the following SQL statement (like the example in the slide) displays all columns and all rows of the DEPARTMENTS table: SELECT department_id, department_name, manager_id, location_id FROM departments ;
  • #11: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can use the SELECT statement to display specific columns of the table by specifying the column names, separated by commas. The example in the slide displays all the department numbers and location numbers from the DEPARTMENTS table. In the SELECT clause, specify the columns that you want, in the order in which you want them to appear in the output. For example, to display location before department number going from left to right, you use the following statement: SELECT location_id, department_id FROM departments; LOCATION_ID DEPARTMENT_ID 1700 10 1800 20 1500 50 … 8 rows selected.
  • #12: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Using the following simple rules and guidelines, you can construct valid statements that are both easy to read and easy to edit: • SQL statements are not case-sensitive (unless indicated). • SQL statements can be entered on one or many lines. • Keywords cannot be split across lines or abbreviated. • Clauses are usually placed on separate lines for readability and ease of editing. • Indents should be used to make code more readable. • Keywords typically are entered in uppercase; all other words, such as table names and columns, are entered in lowercase. Executing SQL Statements Using i SQL*Plus, click the Execute button to run the command or commands in the editing window. Using SQL*Plus, terminate the SQL statement with a semicolon and then press the Enter key to run the command.
  • #13: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In i SQL*Plus, column headings are displayed in uppercase and centered. SELECT last_name, hire_date, salary FROM employees; LAST_NAME HIRE_DATE SALARY King 17-JUN-87 24000 Kochhar 21-SEP-89 17000 … You can override the column heading display with an alias. Column aliases are covered later in this lesson.
  • #14: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You may need to modify the way in which data is displayed, or you may want to perform calculations or look at what-if scenarios. These are all possible using arithmetic expressions. An arithmetic expression can contain column names, constant numeric values, and the arithmetic operators. Arithmetic Operators The slide lists the arithmetic operators that are available in SQL. You can use arithmetic operators in any clause of a SQL statement (except the FROM clause). Note: With DATE and TIMESTAMP data types, you can use the addition and subtraction operators only.
  • #15: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The example in the slide uses the addition operator to calculate a salary increase of $300 for all employees. The slide also displays a SALARY+300 column in the output. Note that the resultant calculated column SALARY+300 is not a new column in the EMPLOYEES table; it is for display only. By default, the name of a new column comes from the calculation that generated it—in this case, salary+300. Note: The Oracle server ignores blank spaces before and after the arithmetic operator. Operator Precedence If an arithmetic expression contains more than one operator, multiplication and division are evaluated first. If operators in an expression are of the same priority, then evaluation is done from left to right. You can use parentheses to force the expression that is enclosed by parentheses to be evaluated first. Rules of Precedence: • Multiplication and division occur before addition and subtraction. • Operators of the same priority are evaluated from left to right. • Parentheses are used to override the default precedence or to clarify the statement.
  • #16: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The first example in the slide displays the last name, salary, and annual compensation of employees. It calculates the annual compensation by multiplying the monthly salary by 12, plus a one-time bonus of $100. Notice that multiplication is performed before addition. Note: Use parentheses to reinforce the standard order of precedence and to improve clarity. For example, the expression in the slide can be written as (12*salary)+100 with no change in the result. Using Parentheses You can override the rules of precedence by using parentheses to specify the desired order in which operators are to be executed. The second example in the slide displays the last name, salary, and annual compensation of employees. It calculates the annual compensation as follows: adding a monthly bonus of $100 to the monthly salary, and then multiplying that subtotal by 12. Because of the parentheses, addition takes priority over multiplication.
  • #17: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. If a row lacks a 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 a zero or a space. Zero is a number, and a space is a character. Columns of any data type can contain nulls. However, some constraints (NOT NULL and PRIMARY KEY) prevent nulls from being used in the column. In the COMMISSION_PCT column in the EMPLOYEES table, notice that only a sales manager or sales representative can earn a commission. Other employees are not entitled to earn commissions. A null represents that fact.
  • #18: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. If any column value in an arithmetic expression is null, the result is null. For example, if you attempt to perform division by zero, you get an error. However, if you divide a number by null, the result is a null or unknown. In the example in the slide, employee King does not get any commission. Because the COMMISSION_PCT column in the arithmetic expression is null, the result is null.
  • #19: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. When displaying the result of a query, i SQL*Plus normally uses the name of the selected column as the column heading. This heading may not be descriptive and hence may be difficult to understand. You can change a column heading by using a column alias. Specify the alias after the column in the SELECT list using a space as a separator. By default, alias headings appear in uppercase. If the alias contains spaces or special characters (such as # or $), or if it is case-sensitive, enclose the alias in double quotation marks (&amp;quot; &amp;quot;).
  • #20: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The first example displays the names and the commission percentages of all the employees. Notice that the optional AS keyword has been used before the column alias name. The result of the query is the same whether the AS keyword is used or not. Also notice that the SQL statement has the column aliases, name and comm, in lowercase, whereas the result of the query displays the column headings in uppercase. As mentioned in a previous slide, column headings appear in uppercase by default. The second example displays the last names and annual salaries of all the employees. Because Annual Salary contains a space, it has been enclosed in double quotation marks. Notice that the column heading in the output is exactly the same as the column alias.
  • #21: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can link columns to other columns, arithmetic expressions, or constant values to create a character expression by using the concatenation operator (||). Columns on either side of the operator are combined to make a single output column. In the example, LAST_NAME and JOB_ID are concatenated, and they are given the alias Employees. Notice that the employee last name and job code are combined to make a single output column. The AS keyword before the alias name makes the SELECT clause easier to read. Null Values with the Concatenation Operator If you concatenate a null value with a character string, the result is a character string. LAST_NAME || NULL results in LAST_NAME.
  • #22: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. A literal is a character, a number, or a date that is included in the SELECT list and that is not a column name or a column alias. It is printed for each row returned. Literal strings of freeformat text can be included in the query result and are treated the same as a column in the SELECT list. Date and character literals must be enclosed by single quotation marks (&apos; &apos;); number literals need not be so enclosed.
  • #23: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The example in the slide displays last names and job codes of all employees. The column has the heading Employee Details. Notice the spaces between the single quotation marks in the SELECT statement. The spaces improve the readability of the output. In the following example, the last name and salary for each employee are concatenated with a literal to give the returned rows more meaning: SELECT last_name ||&apos;: 1 Month salary = &apos;||salary Monthly FROM employees; MONTHLY Kinng: 1 Month salary = 24000 Kochhar: 1 Month salary = 17000 De Hann: 1 Month salary = 17000 … 20 rows selected.
  • #24: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. contains a single quotation mark, you can use the quote (q) operator and choose your own quotation mark delimiter. You can choose any convenient delimiter, single-byte or multibyte, or any of the following character pairs: [ ], { }, ( ), or &lt; &gt;. In the example shown, the string contains a single quotation mark, which is normally interpreted as a delimiter of a character string. By using the q operator, however, the brackets [] are used as the quotation mark delimiter. The string between the brackets delimiters is interpreted as a literal character string.
  • #25: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Unless you indicate otherwise, i SQL*Plus displays the results of a query without eliminating duplicate rows. The first example in the slide displays all the department numbers from the EMPLOYEES table. Notice that the department numbers are repeated. To eliminate duplicate rows in the result, include the DISTINCT keyword in the SELECT clause immediately after the SELECT keyword. In the second example in the slide, the EMPLOYEES table actually contains 20 rows, but there are only seven unique department numbers in the table. You can specify multiple columns after the DISTINCT qualifier. The DISTINCT qualifier affects all the selected columns, and the result is every distinct combination of the columns. SELECT DISTINCT department_id, job_id FROM employees;
  • #26: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. SQL is a command language for communication with the Oracle server from any tool or application. Oracle SQL contains many extensions. iSQL*Plus is an Oracle tool that recognizes and submits SQL statements to the Oracle server for execution and contains its own command language. Features of SQL • Can be used by a range of users, including those with little or no programming experience • Is a nonprocedural language • Is an English-like language Features of i SQL*Plus • Is accessed from a browser • Accepts SQL statements • Provides online editing for modifying SQL statements • Controls environmental settings • Formats query results into a basic report • Accesses local and remote databases
  • #27: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The following table compares SQL and i SQL*Plus: SQL i SQL*Plus Is a language for communicating with Recognizes SQL statements and sends them the Oracle server to access data to the server Is based on American National Standards Is the Oracle-proprietary interface for Institute (ANSI)–standard SQL executing SQL statements Retrieves data; manipulates data and table Does not allow manipulation of values in the definitions in the database database Does not have a continuation character Has a dash (–) as a continuation character if the command is longer than one line Cannot be abbreviated Can be abbreviated Uses functions to perform some formatting Uses commands to format data
  • #28: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. i SQL*Plus is an environment in which you can do the following: • Execute SQL statements to retrieve, modify, add, and remove data from the database • Format, perform calculations on, store, and print query results in the form of reports • Create script files to store SQL statements for repeated use in the future i SQL*Plus commands can be divided into the following main categories: Category Purpose Environment Affects the general behavior of SQL statements for the session Format Formats query results File manipulation Saves statements in text script files and runs statements from text script files Execution Sends SQL statements from the browser to the Oracle server Edit Modifies SQL statements in the Edit window Interaction Enables you to create and pass variables to SQL statements, print variable values, and print messages to the screen Miscellaneous Has various commands to connect to the database, manipulate the i SQL*Plus environment, and display column definitions
  • #29: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To log in from a browser environment: 1. Start the browser. 2. Enter the URL address of the i SQL*Plus environment. 3. On the Login page, enter appropriate values in the Username, Password, and Connect Identifier fields.
  • #30: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the browser, the i SQL*Plus Workspace page has several key areas: 1. Text box: Area where you type the SQL statements and i SQL*Plus commands 2. Execute button: Click to execute the statements and commands in the text box 3. Load Script button: Brings up a form where you can identify a path and file name or a URL that contains SQL, PL/SQL, or SQL*Plus commands and load them into the text box 4. Save Script button: Saves the contents of the text box to a file 5. Cancel button: Stops the execution of the command in the text box 6. Clear Screen button: Click to clear text from the text box 7. Logout icon: Click to end the i SQL*Plus session and return to the i SQL*Plus Login page 8. Preferences icon: Click to change your interface configuration, system configuration, or password 9. Help icon: Provides access to i SQL*Plus help documentation
  • #31: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In i SQL*Plus, you can display the structure of a table by using the DESCRIBE command. The command displays the column names and data types, and it shows you whether a column must contain data (that is, whether the column has a NOT NULL constraint). In the syntax, tablename is the name of any existing table, view, or synonym that is accessible to the user. The example in the slide displays the information about the structure of the EMPLOYEES table. In the resulting display, Null? indicates that the values for this column may be unknown. NOT NULL indicates that a column must contain data. Type displays the data type for a column. The data types are described in the following table: Data Type Description NUMBER( p , s ) Number value having a maximum number of digits p , with s digits to the right of the decimal point VARCHAR2( s ) Variable-length character value of maximum size s DATE Date and time value between January 1, 4712 B.C., and December 31, 9999 A.D. CHAR( s ) Fixed-length character value of size s
  • #32: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Placing Statements and Commands into a Text Script File You can save commands and statements from the text box in i SQL*Plus to a text script file as follows: 1. Type the SQL statements in the text box in i SQL*Plus. 2. Click the Save Script button. This opens the Windows File Save dialog box. Identify the name of the file. The extension defaults to .uix. You can change the file type to a text file or save it as a .sql file.
  • #33: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example shown, the SQL SELECT statement typed in the text box is saved to a file named emp_data.sql. You can choose the type of the file, name of the file, and location of where you want to save the script file.
  • #34: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Using Statements and Commands from a Script File in i SQL*Plus You can use previously saved commands and statements from a script file in i SQL*Plus as follows: 1. Click the Load Script button. This opens a form where you can type the name of the file or a URL containing the SQL, PL/SQL, or SQL*Plus commands that you want to enter in the text box.
  • #35: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. 2. Enter the script name and path, or the URL location. Or you can click the Browse button to find the script name and location. 3. Click the Load button to bring the contents of the file or URL location into the text box.
  • #36: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Running Previous Statements The History page in i SQL*Plus lets you execute previously run statements in your session. The History page shows your most recently run SQL statements and i SQL*Plus commands. To rerun the statements: 1. Select the statement that you want to execute. 2. Click the Load button. Note • You can control the number of statements that are shown on the History page with Preferences settings. • You can choose to delete selected statements by clicking the Delete button.
  • #37: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. 3. Return to the Workspace page. 4. Click the Execute button to run the commands that have been loaded into the text box.
  • #38: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. • You can set preferences for your i SQL*Plus session by clicking the Preferences icon. • The preferences are divided into categories. You can set preferences for script formatting, script execution, and database administration, and you can change your password. • When you choose a preference category, a form is displayed that lets you set the preferences for that category.
  • #39: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can send the results that are generated by a SQL statement or i SQL*Plus command to the screen (the default), a file, or another browser window. On the Preferences page: 1. Select an Output Location option. 2. Click the Apply button.
  • #40: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In this lesson, you should have learned how to retrieve data from a database table with the SELECT statement. SELECT *|{[DISTINCT] column [ alias ],...} FROM table ; In the syntax: SELECT is a list of one or more columns * selects all columns DISTINCT suppresses duplicates column|expression selects the named column or the expression alias gives selected columns different headings FROM table specifies the table containing the columns i SQL*Plus i SQL*Plus is an execution environment that you can use to send SQL statements to the database server and to edit and save SQL statements. Statements can be executed from the SQL prompt or from a script file.
  • #41: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #42: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #43: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. When retrieving data from the database, you may need to do the following: • Restrict the rows of data that are displayed • Specify the order in which the rows are displayed This lesson explains the SQL statements that you use to perform these actions.
  • #44: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example in the slide, suppose that you want to display all the employees in department 90. The rows with a value of 90 in the DEPARTMENT_ID column are the only ones that are returned. This method of restriction is the basis of the WHERE clause in SQL.
  • #45: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can restrict the rows that are returned from the query by using the WHERE clause. A WHERE clause contains a condition that must be met, and it directly follows the FROM clause. If the condition is true, the row meeting the condition is returned. In the syntax: WHERE restricts the query to rows that meet a condition condition is composed of column names, expressions, constants, and a comparison operator The WHERE clause can compare values in columns, literal values, arithmetic expressions, or functions. It consists of three elements: • Column name • Comparison condition • Column name, constant, or list of values
  • #46: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example, the SELECT statement retrieves the employee ID, name, job ID, and department number of all employees who are in department 90.
  • #47: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. (&apos;&apos;). Number constants, however, should not be enclosed by single quotation marks. All character searches are case-sensitive. In the following example, no rows are returned because the EMPLOYEES table stores all the last names in mixed case: SELECT last_name, job_id, department_id FROM employees WHERE last_name = &apos;WHALEN&apos;; Oracle databases store dates in an internal numeric format, representing the century, year, month, day, hours, minutes, and seconds. The default date display is DD-MON-RR. Note: For details about the RR format and about changing the default date format, see the next lesson.
  • #48: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Comparison conditions are used in conditions that compare one expression to another value or expression. They are used in the WHERE clause in the following format: Syntax ... WHERE expr operator value Example ... WHERE hire_date = &apos;01-JAN-95&apos; ... WHERE salary &gt;= 6000 ... WHERE last_name = &apos;Smith‘ An alias cannot be used in the WHERE clause. Note: The symbols != and ^= can also represent the not equal to condition.
  • #49: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example, the SELECT statement retrieves the last name and salary from the EMPLOYEES table for any employee whose salary is less than or equal to $3,000. Note that there is an explicit value supplied to the WHERE clause. The explicit value of 3000 is compared to the salary value in the SALARY column of the EMPLOYEES table.
  • #50: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can display rows based on a range of values using the BETWEEN range condition. The range that you specify contains a lower limit and an upper limit. The SELECT statement in the slide returns rows from the EMPLOYEES table for any employee whose salary is between $2,500 and $3,500. Values that are specified with the BETWEEN condition are inclusive. You must specify the lower limit first. You can also use the BETWEEN condition on character values: SELECT last_name FROM employees WHERE last_name BETWEEN &apos;King&apos; AND &apos;Smith&apos;;
  • #51: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To test for values in a specified set of values, use the IN condition. The IN condition is also known as the membership condition. The slide example displays employee numbers, last names, salaries, and manager’s employee numbers for all the employees whose manager’s employee number is 100, 101, or 201. The IN condition can be used with any data type. The following example returns a row from the EMPLOYEES table for any employee whose last name is included in the list of names in the WHERE clause: SELECT employee_id, manager_id, department_id FROM employees WHERE last_name IN (&apos;Hartstein&apos;, &apos;Vargas&apos;); If characters or dates are used in the list, they must be enclosed by single quotation marks ( &apos; &apos; )
  • #52: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You may not always know the exact value to search for. You can select rows that match a character pattern by using the LIKE condition. The character pattern–matching operation is referred to as a wildcard search. Two symbols can be used to construct the search string. Symbol Description % Represents any sequence of zero or more characters _ Represents any single character The SELECT statement in the slide returns the employee first name from the EMPLOYEES table for any employee whose first name begins with the letter S . Note the uppercase S . Names beginning with an s are not returned. The LIKE condition can be used as a shortcut for some BETWEEN comparisons. The following example displays the last names and hire dates of all employees who joined between January 1995 and December 1995: SELECT last_name, hire_date FROM employees WHERE hire_date LIKE &apos;%95&apos;;
  • #53: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The % and _ symbols can be used in any combination with literal characters. The example in the slide displays the names of all employees whose last names have the letter o as the second character. ESCAPE Option When you need to have an exact match for the actual % and _ characters, use the ESCAPE option. This option specifies what the escape character is. If you want to search for strings that contain ‘SA_’, you can use the following SQL statement: SELECT employee_id, last_name, job_id FROM employees WHERE job_id LIKE &apos;%SA\\_%&apos; ESCAPE &apos;\\&apos;; EMPLOYEE_ID LAST_NAME JOB_ID 149 ZLOTKEY SA_MAN 174 Abel SA_REP 176 Taylor SA_REP 178 Grant SA_REP The ESCAPE option identifies the backslash (\\) as the escape character. In the pattern, the escape character precedes the underscore (_). This causes the Oracle Server to interpret the underscore literally.
  • #54: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The % and _ symbols can be used in any combination with literal characters. The example in the slide displays the names of all employees whose last names have the letter o as the second character. ESCAPE Option When you need to have an exact match for the actual % and _ characters, use the ESCAPE option. This option specifies what the escape character is. If you want to search for strings that contain ‘SA_’, you can use the following SQL statement: SELECT employee_id, last_name, job_id FROM employees WHERE job_id LIKE &apos;%SA\\_%&apos; ESCAPE &apos;\\&apos;; EMPLOYEE_ID LAST_NAME JOB_ID 149 ZLOTKEY SA_MAN 174 Abel SA_REP 176 Taylor SA_REP 178 Grant SA_REP The ESCAPE option identifies the backslash (\\) as the escape character. In the pattern, the escape character precedes the underscore (_). This causes the Oracle Server to interpret the underscore literally.
  • #55: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The NULL conditions include the IS NULL condition and the IS NOT NULL condition. The IS NULL condition tests for nulls. A null value means the value is unavailable, unassigned, unknown, or inapplicable. Therefore, you cannot test with = because a null cannot be equal or unequal to any value. The slide example retrieves the last names and managers of all employees who do not have a manager. Here is another example: To display last name, job ID, and commission for all employees who are not entitled to receive a commission, use the following SQL statement: SELECT last_name, job_id, commission_pct FROM employees WHERE commission_pct IS NULL; LAST_NAME JOB_ID COMMISSION_PCT King AD_PRES Kochhar AD_VP … Higgins AC_MGR Gietz AC_ACCOUNT 6 rows selected.
  • #56: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. A logical condition combines the result of two component conditions to produce a single result based on those conditions, or it inverts the result of a single condition. A row is returned only if the overall result of the condition is true. Three logical operators are available in SQL: • AND • OR • NOT All the examples so far have specified only one condition in the WHERE clause. You can use several conditions in one WHERE clause using the AND and OR operators.
  • #57: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example, both conditions must be true for any record to be selected. Therefore, only employees who have a job title that contains the string ‘MAN’ and earn $10,000 or more are selected. All character searches are case-sensitive. No rows are returned if ‘MAN’ is not uppercase. Character strings must be enclosed by quotation marks. AND Truth Table The following table shows the results of combining two expressions with AND: AND TRUE FALSE NULL TRUE TRUE FALSE NULL FALSE FALSE FALSE FALSE NULL NULL FALSE NULL
  • #58: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example, either condition can be true for any record to be selected. Therefore, any employee who has a job ID that contains the string ‘MAN’ or earns $10,000 or more is selected. OR Truth Table The following table shows the results of combining two expressions with OR: OR TRUE FALSE NULL TRUE TRUE TRUE TRUE FALSE TRUE FALSE NULL NULL TRUE NULL NULL
  • #59: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The slide example displays the last name and job ID of all employees whose job ID is not IT_PROG, ST_CLERK, or SA_REP. NOT Truth Table The following table shows the result of applying the NOT operator to a condition: NOT TRUE FALSE NULL FALSE TRUE NULL Note: The NOT operator can also be used with other SQL operators, such as BETWEEN, LIKE, and NULL. ... WHERE job_id NOT IN (&apos;AC_ACCOUNT&apos;, &apos;AD_VP&apos;) ... WHERE salary NOT BETWEEN 10000 AND 15000 ... WHERE last_name NOT LIKE &apos;%A%&apos; ... WHERE commission_pct IS NOT NULL
  • #60: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The rules of precedence determine the order in which expressions are evaluated and calculated. The table lists the default order of precedence. You can override the default order by using parentheses around the expressions that you want to calculate first.
  • #61: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. 1. Example of the Precedence of the AND Operator In this example, there are two conditions: • The first condition is that the job ID is AD_PRES and the salary is greater than $15,000. • The second condition is that the job ID is SA_REP. Therefore, the SELECT statement reads as follows: “ Select the row if an employee is a president and earns more than $15,000, or if the employee is a sales representative.” 2. Example of Using Parentheses In this example, there are two conditions: • The first condition is that the job ID is AD_PRES or SA_REP. • The second condition is that salary is greater than $15,000. Therefore, the SELECT statement reads as follows: “ Select the row if an employee is a president or a sales representative, and if the employee earns more than $15,000.”
  • #62: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The order of rows that are returned in a query result is undefined. The ORDER BY clause can be used to sort the rows. If you use the ORDER BY clause, it must be the last clause of the SQL statement. You can specify an expression, an alias, or a column position as the sort condition. Syntax SELECT expr FROM table [WHERE condition(s) ] [ORDER BY { column , expr, numeric_position } [ASC|DESC]]; In the syntax: ORDER BY specifies the order in which the retrieved rows are displayed ASC orders the rows in ascending order (this is the default order) DESC orders the rows in descending order If the ORDER BY clause is not used, the sort order is undefined, and the Oracle server may not fetch rows in the same order for the same query twice. Use the ORDER BY clause to display the rows in a specific order.
  • #63: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The default sort order is ascending: • Numeric values are displayed with the lowest values first (for example, 1 to 999). • Date values are displayed with the earliest value first (for example, 01-JAN-92 before 01-JAN-95). • Character values are displayed in alphabetical order (for example, A first and Z last). • Null values are displayed last for ascending sequences and first for descending sequences. • You can sort by a column that is not in the SELECT list. Examples 1. To reverse the order in which rows are displayed, specify the DESC keyword after the column name in the ORDER BY clause. The slide example sorts the result by the most recently hired employee. 2. You can use a column alias in the ORDER BY clause. The slide example sorts the data by annual salary. 3. You can sort query results by more than one column. The sort limit is the number of columns in the given table. In the ORDER BY clause, specify the columns and separate the column names using commas. If you want to reverse the order of a column, specify DESC after its name.
  • #64: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The examples so far have been hard-coded. In a finished application, the user would trigger the report, and the report would run without further prompting. The range of data would be predetermined by the fixed WHERE clause in the i SQL*Plus script file. Using i SQL*Plus, you can create reports that prompt users to supply their own values to restrict the range of data returned by using substitution variables. You can embed substitution variables in a command file or in a single SQL statement. A variable can be thought of as a container in which the values are temporarily stored. When the statement is run, the value is substituted.
  • #65: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In i SQL*Plus, you can use single-ampersand (&amp;) substitution variables to temporarily store values. You can predefine variables in i SQL*Plus by using the DEFINE command. DEFINE creates and assigns a value to a variable. Examples of Restricted Ranges of Data • Reporting figures only for the current quarter or specified date range • Reporting on data relevant only to the user requesting the report • Displaying personnel only within a given department Other Interactive Effects Interactive effects are not restricted to direct user interaction with the WHERE clause. The same principles can be used to achieve other goals, such as: • Obtaining input values from a file rather than from a person • Passing values from one SQL statement to another i SQL*Plus does not support validation checks (except for data type) on user input.
  • #66: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. When running a report, users often want to restrict the data that is returned dynamically. i SQL*Plus provides this flexibility with user variables. Use an ampersand (&amp;) to identify each variable in your SQL statement. You do not need to define the value of each variable. &amp;user_variable Indicates a variable in a SQL statement; if the variable does not exist, i SQL*Plus prompts the user for a value ( i SQL*Plus discards a new variable once it is used.) The example in the slide creates an i SQL*Plus substitution variable for an employee number. When the statement is executed, i SQL*Plus prompts the user for an employee number and then displays the employee number, last name, salary, and department number for that employee. With the single ampersand, the user is prompted every time the command is executed, if the variable does not exist.
  • #67: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. When i SQL*Plus detects that the SQL statement contains an ampersand, you are prompted to enter a value for the substitution variable that is named in the SQL statement. After you enter a value and click the Continue button, the results are displayed in the output area of your i SQL*Plus session.
  • #68: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In a WHERE clause, date and character values must be enclosed by single quotation marks. The same rule applies to the substitution variables. Enclose the variable in single quotation marks within the SQL statement itself. The slide shows a query to retrieve the employee names, department numbers, and annual salaries of all employees based on the job title value of the i SQL*Plus substitution variable.
  • #69: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Not only can you use the substitution variables in the WHERE clause of a SQL statement, but these variables can also be used to substitute for column names, expressions, or text. Example The slide example displays the employee number, name, job title, and any other column that is specified by the user at run time, from the EMPLOYEES table. For each substitution variable in the SELECT statement, you are prompted to enter a value, and you then click the Continue button to proceed. If you do not enter a value for the substitution variable, you get an error when you execute the preceding statement. Note: A substitution variable can be used anywhere in the SELECT statement, except as the first word entered at the command prompt.
  • #70: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can use the double-ampersand (&amp;&amp;) substitution variable if you want to reuse the variable value without prompting the user each time. The user sees the prompt for the value only once. In the example in the slide, the user is asked to give the value for variable column_name only once. The value that is supplied by the user (department_id) is used for both display and ordering of data. i SQL*Plus stores the value that is supplied by using the DEFINE command; it uses it again whenever you reference the variable name. After a user variable is in place, you need to use the UNDEFINE command to delete it as follows: UNDEFINE column_name
  • #71: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The example shown creates an i SQL*Plus substitution variable for an employee number by using the DEFINE command. At run time, this displays the employee number, name, salary, and department number for that employee. Because the variable is created using the i SQL*Plus DEFINE command, the user is not prompted to enter a value for the employee number. Instead, the defined variable value is automatically substituted in the SELECT statement. The EMPLOYEE_NUM substitution variable is present in the session until the user undefines it or exits the i SQL*Plus session
  • #72: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To confirm the changes in the SQL statement, use the i SQL*Plus VERIFY command. Setting SET VERIFY ON forces i SQL*Plus to display the text of a command before and after it replaces substitution variables with values. The example in the slide displays the old as well as the new value of the EMPLOYEE_ID column. i SQL*Plus System Variables i SQL*Plus uses various system variables that control the working environment. One of those variables is VERIFY. To obtain a complete list of all system variables, you can issue the SHOW ALL command.
  • #73: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In this lesson, you should have learned about restricting and sorting rows that are returned by the SELECT statement. You should also have learned how to implement various operators and conditions. By using the i SQL*Plus substitution variables, you can add flexibility to your SQL statements. You can query users at run time and enable them to specify criteria.
  • #74: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #75: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #76: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Functions make the basic query block more powerful, and they are used to manipulate data values. This is the first of two lessons that explore functions. It focuses on single-row character, number, and date functions, as well as those functions that convert data from one type to another (for example, conversion from character data to numeric data).
  • #77: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Functions are a very powerful feature of SQL. They can be used to do the following: • Perform calculations on data • Modify individual data items • Manipulate output for groups of rows • Format dates and numbers for display • Convert column data types SQL functions sometimes take arguments and always return a value. Note: Most of the functions that are described in this lesson are specific to the Oracle version of SQL.
  • #78: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. There are two types of functions: • Single-row functions • Multiple-row functions Single-Row Functions These functions operate on single rows only and return one result per row. There are different types of single-row functions. This lesson covers the following ones: • Character • Number • Date • Conversion • General Multiple-Row Functions Functions can manipulate groups of rows to give one result per group of rows. These functions are also known as group functions (covered in a later lesson).
  • #79: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Single-row functions are used to manipulate data items. They accept one or more arguments and return one value for each row that is returned by the query. An argument can be one of the following: • User-supplied constant • Variable value • Column name • Expression Features of single-row functions include: • Acting on each row that is returned in the query • Returning one result per row • Possibly returning a data value of a different type than the one that is referenced • Possibly expecting one or more arguments • Can be used in SELECT, WHERE, and ORDER BY clauses; can be nested In the syntax: function_name is the name of the function arg1, arg2 is any argument to be used by the function. This can be represented by a column name or expression.
  • #80: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. This lesson covers the following single-row functions: • Character functions : Αccept character input and can return both character and number values • Number functions : Accept numeric input and return numeric values • Date functions : Operate on values of the DATE data type (All date functions return a value of DATE data type except the MONTHS_BETWEEN function, which returns a number.) • Conversion functions : Convert a value from one data type to another • General functions: - NVL - NVL2 - NULLIF - COALESCE - CASE - DECODE
  • #81: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Single-row character functions accept character data as input and can return both character and numeric values. Character functions can be divided into the following: • Case-manipulation functions • Character-manipulation functions Function Purpose LOWER( column|expression ) Converts alpha character values to lowercase UPPER( column|expression ) Converts alpha character values to uppercase INITCAP( column|expression ) Converts alpha character values to uppercase for the first letter of each word; all other letters in lowercase CONCAT( column1|expression1, Concatenates the first character value to the second column2|expression2 ) character value; equivalent to concatenation operator (||) SUBSTR( column|expression,m[ ,n] ) Returns specified characters from character value starting at character position m, n characters long (If m is negative, the count starts from the end of the character value. If n is omitted, all characters to the end of the string are returned.) LENGTH( column|expression ) Returns the number of characters in the expression INSTR( column|expression, Returns the numeric position of a named string. Optionally, ’ string’, [,m], [n] ) you can provide a position m to start searching, and the occurrence n of the string. m and n default to 1, meaning start the search at the beginning of the search and report the first occurrence. LPAD( column | expression , n , Pads the character value right-justified to a total width of n &apos; string &apos; ) character positions RPAD( column | expression , n , Pads the character value left-justified to a total width of n &apos; string &apos; ) character positions TRIM( leading|trailing|both, Enables you to trim heading or trailing characters (or both) trim_character FROM from a character string. If trim_character or trim_source ) trim_source is a character literal, you must enclose it in single quotation marks. This is a feature that is available in Oracle8 i and later versions. REPLACE( text, search_string, Searches a text expression for a character string and, if replacement_string ) found, replaces it with a specified replacement string
  • #82: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. LOWER, UPPER, and INITCAP are the three case-conversion functions. • LOWER : Converts mixed-case or uppercase character strings to lowercase • UPPER : Converts mixed-case or lowercase character strings to uppercase • INITCAP : Converts the first letter of each word to uppercase and remaining letters to lowercase SELECT &apos;The job id for &apos;||UPPER(last_name)||&apos; is ‘ ||LOWER(job_id) AS &amp;quot;EMPLOYEE DETAILS&amp;quot; FROM employees; EMPLOYEE DETAILS The job id for KING is ad_pres The job id for KOCHHAR is ad_vp The job id for DE HAAN is ad_vp … The job id for HIGGINS is ad_vp The job id for GIETZ is ac_account 20 rows selected.
  • #83: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The slide example displays the employee number, name, and department number of employee Higgins. The WHERE clause of the first SQL statement specifies the employee name as higgins. Because all the data in the EMPLOYEES table is stored in proper case, the name higgins does not find a match in the table, and no rows are selected. The WHERE clause of the second SQL statement specifies that the employee name in the EMPLOYEES table is compared to higgins, converting the LAST_NAME column to lowercase for comparison purposes. Since both names are now lowercase, a match is found and one row is selected. The WHERE clause can be rewritten in the following manner to produce the same result: ...WHERE last_name = &apos;Higgins&apos; The name in the output appears as it was stored in the database. To display the name with only the first letter in uppercase, use the UPPER function in the SELECT statement. SELECT employee_id, UPPER(last_name), department_id FROM employees WHERE INITCAP(last_name) = &apos;Higgins&apos;;
  • #84: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. CONCAT, SUBSTR, LENGTH, INSTR, LPAD, RPAD, and TRIM are the character-manipulation functions that are covered in this lesson. • CONCAT : Joins values together (You are limited to using two parameters with CONCAT.) • SUBSTR : Extracts a string of determined length • LENGTH : Shows the length of a string as a numeric value • INSTR : Finds the numeric position of a named character • LPAD : Pads the character value right-justified • RPAD: Pads the character value left-justified • TRIM: Trims heading or trailing characters (or both) from a character string (If trim_character or trim_source is a character literal, you must enclose it in single quotation marks.) Note: You can use functions such as UPPER and LOWER with ampersand substitution. For example, use UPPER(&apos;&amp;job_title&apos;) so that the user does not have to enter the job title in a specific case.
  • #85: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The slide example displays employee first names and last names joined together, the length of the employee last name, and the numeric position of the letter a in the employee last name for all employees who have the string REP contained in the job ID starting at the fourth position of the job ID. Example Modify the SQL statement in the slide to display the data for those employees whose last names end with the letter n . SELECT employee_id, CONCAT(first_name, last_name) NAME, LENGTH (last_name), INSTR(last_name, &apos;a&apos;) &amp;quot;Contains &apos;a&apos;?&amp;quot; FROM employees WHERE SUBSTR(last_name, -1, 1) = &apos;n&apos;; EMPLOYEE_ID NAME LENGTH(LAST_NAME) Contains ‘a’? 102 LexDe Hann 7 5 200 JenniferWhalen 6 3 201 MichaelHaststein 9 2
  • #86: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Number functions accept numeric input and return numeric values. This section describes some of the number functions. Function Purpose ROUND( column | expression , n ) Rounds the column, expression, or value to n decimal places or, if n is omitted, no decimal places (If n is negative, numbers to left of the decimal point are rounded.) TRUNC( column | expression , n ) Truncates the column, expression, or value to n decimal places or, if n is omitted, n defaults to zero MOD( m , n ) Returns the remainder of m divided by n Note: This list contains only some of the available number functions.
  • #87: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The ROUND function rounds the column, expression, or value to n decimal places. If the second argument is 0 or is missing, the value is rounded to zero decimal places. If the second argument is 2, the value is rounded to two decimal places. Conversely, if the second argument is –2, the value is rounded to two decimal places to the left (rounded to the nearest unit of 10). The ROUND function can also be used with date functions. You will see examples later in this lesson. DUAL Table The DUAL table is owned by the user SYS and can be accessed by all users. It contains one column, DUMMY, and one row with the value X. The DUAL table is useful when you want to return a value once only (for example, the value of a constant, pseudocolumn, or expression that is not derived from a table with user data). The DUAL table is generally used for SELECT clause syntax completeness, because both SELECT and FROM clauses are mandatory, and several calculations do not need to select from actual tables.
  • #88: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The TRUNC function truncates the column, expression, or value to n decimal places. The TRUNC function works with arguments similar to those of the ROUND function. If the second argument is 0 or is missing, the value is truncated to zero decimal places. If the second argument is 2, the value is truncated to two decimal places. Conversely, if the second argument is –2, the value is truncated to two decimal places to the left. If the second argument is –1, the value is truncated to one decimal place to the left. Like the ROUND function, the TRUNC function can be used with date functions.
  • #89: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The MOD function finds the remainder of the first argument divided by the second argument. The slide example calculates the remainder of the salary after dividing it by 5,000 for all employees whose job ID is SA_REP. Note: The MOD function is often used to determine if a value is odd or even.
  • #90: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The Oracle database stores dates in an internal numeric format, representing the century, year, month, day, hours, minutes, and seconds. The default display and input format for any date is DD-MON-RR. Valid Oracle dates are between January 1, 4712 B.C., and December 31, 9999 A.D. In the example in the slide, the HIRE_DATE column output is displayed in the default format DD-MON-RR. However, dates are not stored in the database in this format. All the components of the date and time are stored. So, although a HIRE_DATE such as 17-JUN-87 is displayed as day, month, and year, there is also time and century information associated with the date. The complete data might be June 17, 1987, 5:10:43 p.m. This data is stored internally as follows: CENTURY YEAR MONTH DAY HOUR MINUTE SECOND 19 87 06 17 17 10 43 Centuries and the Year 2000 When a record with a date column is inserted into a table, the century information is picked up from the SYSDATE function. However, when the date column is displayed on the screen, the century component is not displayed (by default). The DATE data type always stores year information as a four-digit number internally: two digits for the century and two digits for the year. For example, the Oracle database stores the year as 1987 or 2004, and not just as 87 or 04.
  • #91: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. SYSDATE is a date function that returns the current database server date and time. You can use SYSDATE just as you would use any other column name. For example, you can display the current date by selecting SYSDATE from a table. It is customary to select SYSDATE from a dummy table called DUAL. Example Display the current date using the DUAL table. SELECT SYSDATE FROM DUAL; SYSDATE 28-SEP-01
  • #92: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Because the database stores dates as numbers, you can perform calculations using arithmetic operators such as addition and subtraction. You can add and subtract number constants as well as dates. You can perform the following operations: Operation Result Description date + number Date Adds a number of days to a date date – number Date Subtracts a number of days from a date date – date Number of days Subtracts one date from another date + number/24 Date Adds a number of hours to a date
  • #93: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The example in the slide displays the last name and the number of weeks employed for all employees in department 90. It subtracts the date on which the employee was hired from the current date (SYSDATE) and divides the result by 7 to calculate the number of weeks that a worker has been employed. Note: SYSDATE is a SQL function that returns the current date and time. Your results may differ from the example. If a more current date is subtracted from an older date, the difference is a negative number.
  • #94: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Date functions operate on Oracle dates. All date functions return a value of DATE data type except MONTHS_BETWEEN, which returns a numeric value. • MONTHS_BETWEEN( date1, date2 ) : Finds the number of months between date1 and date2 . The result can be positive or negative. If date1 is later than date2 , the result is positive; if date1 is earlier than date2 , the result is negative. The noninteger part of the result represents a portion of the month. • ADD_MONTHS( date, n ) : Adds n number of calendar months to date . The value of n must be an integer and can be negative. • NEXT_DAY( date, &apos; char &apos;) : Finds the date of the next specified day of the week (&apos; char &apos;) following date . The value of char may be a number representing a day or a character string. • LAST_DAY( date ) : Finds the date of the last day of the month that contains date • ROUND( date [,&apos; fmt &apos;]) : Returns date rounded to the unit that is specified by the format model fmt. If the format model fmt is omitted, date is rounded to the nearest day. • TRUNC( date [, &apos; fmt &apos;]) : Returns date with the time portion of the day truncated to the unit that is specified by the format model fmt . If the format model fmt is omitted, date is truncated to the nearest day. This list is a subset of the available date functions. The format models are covered later in this lesson. Examples of format models are month and year.
  • #95: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. For example, display the employee number, hire date, number of months employed, sixmonth review date, first Friday after hire date, and last day of the hire month for all employees who have been employed for fewer than 70 months. SELECT employee_id, hire_date, MONTHS_BETWEEN (SYSDATE, hire_date) TENURE, ADD_MONTHS (hire_date, 6) REVIEW, NEXT_DAY (hire_date, &apos;FRIDAY&apos;), LAST_DAY(hire_date) FROM employees WHERE MONTHS_BETWEEN (SYSDATE, hire_date) &lt; 70; EMPLOYEE_ID HIRE_DATE TENURE REVIEW NEXT_DAY( LAST_DAY( 107 07-FEB-99 31.6982407 07-AUG-99 12-FEB-99 28-FEB-99 124 16-NOV-99 22.4079182 16-MAY-00 19-NOV-99 30-NOV-99 149 29-JAN-00 19.9885633 29-JUL-00 04-FEB-00 31-JAN-00 178 24-MAY-99 28.1498536 24-NOV-99 28-MAY-99 31-MAY-99
  • #96: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The ROUND and TRUNC functions can be used for number and date values. When used with dates, these functions round or truncate to the specified format model. Therefore, you can round dates to the nearest year or month. Example Compare the hire dates for all employees who started in 1997. Display the employee number, hire date, and start month using the ROUND and TRUNC functions. SELECT employee_id, hire_date, ROUND(hire_date, &apos;MONTH&apos;), TRUNC(hire_date, &apos;MONTH&apos;) FROM employees WHERE hire_date LIKE &apos;%97&apos;; EMPLOYEE_ID HIRE_DATE ROUND(HIR TRUNC(HIR 142 29-JAN-97 01-FEB-97 01-JAN-97 202 17-AUG-97 01-SEP-97 01-AUG-97
  • #97: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In addition to Oracle data types, columns of tables in an Oracle database can be defined using ANSI, DB2, and SQL/DS data types. However, the Oracle server internally converts such data types to Oracle data types. In some cases, the Oracle server uses data of one data type where it expects data of a different data type. When this happens, the Oracle server can automatically convert the data to the expected data type. This data type conversion can be done implicitly by the Oracle server or explicitly by the user. Implicit data type conversions work according to the rules that are explained in the next two slides. Explicit data type conversions are done by using the conversion functions. Conversion functions convert a value from one data type to another. Generally, the form of the function names follows the convention data type TO data type . The first data type is the input data type; the second data type is the output. Note: Although implicit data type conversion is available, it is recommended that you do explicit data type conversion to ensure the reliability of your SQL statements.
  • #98: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The assignment succeeds if the Oracle server can convert the data type of the value used in the assignment to that of the assignment target. For example, the expression hire_date &gt; &apos;01-JAN-90&apos; results in the implicit conversion from the string &apos;01-JAN-90&apos; to a date.
  • #99: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In general, the Oracle server uses the rule for expressions when a data type conversion is needed in places that are not covered by a rule for assignment conversions. For example, the expression salary = &apos;20000&apos; results in the implicit conversion of the string &apos;20000&apos; to the number 20000. Note: CHAR to NUMBER conversions succeed only if the character string represents a valid number.
  • #100: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. SQL provides three functions to convert a value from one data type to another: Function Purpose TO_CHAR( number | date ,[ fmt ], [nlsparams ]) Converts a number or date value to a VARCHAR2 character string with format model fmt Number conversion: The nlsparams parameter specifies the following characters,which are returned by number format elements: • Decimal character • Group separator • Local currency symbol • International currency symbol If nlsparams or any other parameter is omitted, this function uses the default parameter values for the session. TO_CHAR( number | date ,[ fmt ], [ nlsparams ]) Date conversion: The nlsparams parameter specifies the language in which month and day names and abbreviations are returned. If this parameter is omitted, this function uses the default date languages for the session. TO_NUMBER( char,[fmt], [nlsparams] ) Converts a character string containing digits to a number in the format specified by the optional format model fmt . The nlsparams parameter has the same purpose in this function as in the TO_CHAR function for number conversion. TO_DATE(c har ,[ fmt ],[ nlsparams ]) Converts a character string representing a date to a date value according to the fmt that is specified. If fmt is omitted, the format is DD-MON-YY. The nlsparams parameter has the same purpose in this function as in the TO_CHAR function for date conversion. Note: The list of functions mentioned in this lesson includes only some of the available conversion functions.
  • #101: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Previously, all Oracle date values were displayed in the DD-MON-YY format. You can use the TO_CHAR function to convert a date from this default format to one that you specify. Guidelines • The format model must be enclosed by single quotation marks and is case-sensitive. • The format model can include any valid date format element. Be sure to separate the date value from the format model by a comma. • The names of days and months in the output are automatically padded with blanks. • To remove padded blanks or to suppress leading zeros, use the fill mode fm element. • You can format the resulting character field with the i SQL*Plus COLUMN command (covered in a later lesson). SELECT employee_id, TO_CHAR(hire_date, &apos;MM/YY&apos;) Month_Hired FROM employees WHERE last_name = &apos;Higgins&apos;; EMPLOYEE_ID MONTH 205 06/94
  • #102: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Element Description SCC or CC Century; server prefixes B.C. date with - Years in dates YYYY or SYYYY Year; server prefixes B.C. date with - YYY or YY or Y Last three, two, or one digits of year Y,YYY Year with comma in this position IYYY, IYY, IY, I Four-, three-, two-, or one-digit year based on the ISO standard SYEAR or YEAR Year spelled out; server prefixes B.C. date with - BC or AD Indicates B.C. or A.D. year B.C. or A.D. Indicates B.C. or A.D. year using periods Q Quarter of year MM Month: two-digit value MONTH Name of month padded with blanks to length of nine characters MON Name of month, three-letter abbreviation RM Roman numeral month WW or W Week of year or month DDD or DD or D Day of year, month, or week DAY Name of day padded with blanks to a length of nine characters DY Name of day; three-letter abbreviation J Julian day; the number of days since December 31, 4713 B.C.
  • #103: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Use the formats that are listed in the following tables to display time information and literals and to change numerals to spelled numbers. Element Description AM or PM Meridian indicator A.M. or P.M. Meridian indicator with periods HH or HH12 or HH24 Hour of day, or hour (1–12), or hour (0–23) MI Minute (0–59) SS Second (0–59) SSSSS Seconds past midnight (0–86399) Other Formats Element Description / . , Punctuation is reproduced in the result. “ of the” Quoted string is reproduced in the result. Specifying Suffixes to Influence Number Display Element Description TH Ordinal number (for example, DDTH for 4TH) SP Spelled-out number (for example, DDSP for FOUR) SPTH or THSP Spelled-out ordinal numbers (for example, DDSPTH for FOURTH)
  • #104: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The SQL statement in the slide displays the last names and hire dates for all the employees. The hire date appears as 17 June 1987. Example Modify the slide example to display the dates in a format that appears as “Seventeenth of June 1987 12:00:00 AM.” SELECT last_name, TO_CHAR(hire_date, &apos;fmDdspth &amp;quot;of&amp;quot; Month YYYY fmHH:MI:SS AM&apos;) HIREDATE FROM employees; LAST_NAME HIREDATE King Seventeeth of June 1987 12:00:00 AM Kochhar Twenty-First of September 1989 12:00:00 AM Notice that the month follows the format model specified; in other words, the first letter is capitalized and the rest are lowercase.
  • #105: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. When working with number values such as character strings, you should convert those numbers to the character data type using the TO_CHAR function, which translates a value of NUMBER data type to VARCHAR2 data type. This technique is especially useful with concatenation. Number Format Elements If you are converting a number to the character data type, you can use the following format elements: Element Description Example Result 9 Numeric position (number of 9s determine display 999999 1234 width) 0 Display leading zeros 099999 001234 $ Floating dollar sign $999999 $1234 L Floating local currency symbol L999999 FF1234 D Returns in the specified position the decimal 99D99 99.99 character. The default is a period (.). . Decimal point in position specified 999999.99 1234.00 G Returns the group separator in the specified 9,999 9G999 position. You can specify multiple group separators in a number format model. , Comma in position specified 999,999 1,234 MI Minus signs to right (negative values) 999999MI 1234- PR Parenthesize negative numbers 999999PR &lt;1234&gt; EEEE Scientific notation (format must specify four Es) 99.999EEEE 1.234E+03 U Returns in the specified position the &amp;quot;Euro&amp;quot; (or U9999 €1234 other) dual currency V Multiply by 10 n times ( n = number of 9s after V) 9999V99 123400 S Returns the negative or positive value S9999 -1234 or +1234 B Display zero values as blank, not 0 B9999.99 1234.00
  • #106: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Guidelines • The Oracle server displays a string of number signs (#) in place of a whole number whose digits exceed the number of digits that is provided in the format model. • The Oracle server rounds the stored decimal value to the number of decimal places that is provided in the format model.
  • #107: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You may want to convert a character string to either a number or a date. To accomplish this task, use the TO_NUMBER or TO_DATE functions. The format model that you choose is based on the previously demonstrated format elements. The fx modifier specifies exact matching for the character argument and date format model of a TO_DATE function: • Punctuation and quoted text in the character argument must exactly match (except for case) the corresponding parts of the format model. • The character argument cannot have extra blanks. Without fx, Oracle ignores extra blanks. • Numeric data in the character argument must have the same number of digits as the corresponding element in the format model. Without fx, numbers in the character argument can omit leading zeros. Example Display the name and hire date for all employees who started on May 24, 1999. Because the fx modifier is used, an exact match is required and the spaces after the word May are not recognized: SELECT last_name, hire_date FROM employees WHERE hire_date = TO_DATE(&apos;May 24, 1999&apos;, &apos;fxMonth DD, YYYY&apos;); * WHERE hire_date = TO_DATE(&apos;May 24, 1999&apos;, &apos;fxMonth DD, YYYY&apos;) * ERROR at line 3: ORA-01858: a non-numeric character was found where a numeric was expected
  • #108: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #109: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The RR date format is similar to the YY element, but you can use it to specify different centuries. Use the RR date format element instead of YY so that the century of the return value varies according to the specified two-digit year and the last two digits of the current year. The table in the slide summarizes the behavior of the RR element.
  • #110: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To find employees who were hired prior to 1990, the RR format can be used. Because the current year is greater than 1999, the RR format interprets the year portion of the date from 1950 to 1999. The following command, on the other hand, results in no rows being selected because the YY format interprets the year portion of the date in the current century (2090). SELECT last_name, TO_CHAR(hire_date, &apos;DD-Mon-yyyy&apos;) FROM employees WHERE TO_DATE(hire_date, &apos;DD-Mon-yy&apos;) &lt; &apos;01-Jan-1990&apos;; no rows selected.
  • #111: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Single-row functions can be nested to any depth. Nested functions are evaluated from the innermost level to the outermost level. Some examples follow to show you the flexibility of these functions.
  • #112: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The slide example displays the last names of employees in department 60. The evaluation of the SQL statement involves three steps: 1. The inner function retrieves the first eight characters of the last name. Result1 = SUBSTR (LAST_NAME, 1, 8) 2. The outer function concatenates the result with _US. Result2 = CONCAT(Result1, &apos;_US&apos;) 3. The outermost function converts the results to uppercase. The entire expression becomes the column heading because no column alias was given. Example Display the date of the next Friday that is six months from the hire date. The resulting date should appear as Friday, August 13th, 1999. Order the results by hire date. SELECT TO_CHAR(NEXT_DAY(ADD_MONTHS (hire_date, 6), &apos;FRIDAY&apos;), &apos;fmDay, Month DDth, YYYY&apos;) &amp;quot;Next 6 Month Review&amp;quot; FROM employees ORDER BY hire_date;
  • #113: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. These functions work with any data type and pertain to the use of null values in the expression list. Function Description NVL Converts a null value to an actual value NVL2 If expr1 is not null, NVL2 returns expr2. If expr1 is null, NVL2 returns expr3. The argument expr1 can have any data type. NULLIF Compares two expressions and returns null if they are equal; returns the first expression if they are not equal COALESCE Returns the first non-null expression in the expression list
  • #114: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To convert a null value to an actual value, use the NVL function. Syntax NVL ( expr1 , expr2 ) In the syntax: • expr1 is the source value or expression that may contain a null • expr2 is the target value for converting the null You can use the NVL function to convert any data type, but the return value is always the same as the data type of expr1 . NVL Conversions for Various Data Types Data Type Conversion Example NUMBER NVL( number_column ,9) DATE NVL( date_column, &apos;01-JAN-95&apos;) CHAR or VARCHAR2 NVL( character_column , &apos;Unavailable&apos;)
  • #115: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. To calculate the annual compensation of all employees, you need to multiply the monthly salary by 12 and then add the commission percentage to the result: SELECT last_name, salary, commission_pct, (salary*12) + (salary*12*commission_pct) AN_SAL FROM employees; LAST_NAME SALARY COMMISSION_PCT AN_SAL … Vargas 2500 Zlotkey 10500 .2 151200 Abel 11000 .3 171600 Taylor 8600 .2 123840 Notice that the annual compensation is calculated for only those employees who earn a commission. If any column value in an expression is null, the result is null. To calculate values for all employees, you must convert the null value to a number before applying the arithmetic operator. In the example in the slide, the NVL function is used to convert null values to zero.
  • #116: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The NVL2 function examines the first expression. If the first expression is not null, then the NVL2 function returns the second expression. If the first expression is null, then the third expression is returned. Syntax NVL2( expr1 , expr2, expr3 ) In the syntax: • expr1 is the source value or expression that may contain null • expr2 is the value that is returned if expr1 is not null • expr3 is the value that is returned if expr2 is null In the example shown in the slide, the COMMISSION_PCT column is examined. If a value is detected, the second expression of SAL+COMM is returned. If the COMMISSION_PCT column holds a null value, the third expression of SAL is returned. The argument expr1 can have any data type. The arguments expr2 and expr3 can have any data types except LONG. If the data types of expr2 and expr3 are different, the Oracle server converts expr3 to the data type of expr2 before comparing them unless expr3 is a null constant. In the latter case, a data type conversion is not necessary. The data type of the return value is always the same as the data type of expr2 , unless expr2 is character data, in which case the return value’s data type is VARCHAR2.
  • #117: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The NULLIF function compares two expressions. If they are equal, the function returns null. If they are not equal, the function returns the first expression. You cannot specify the literal NULL for the first expression. Syntax NULLIF ( expr1 , expr2 ) In the syntax: • expr1 is the source value compared to expr2 • expr2 is the source value compared with expr1 (If it is not equal to expr1 , expr1 is returned.) In the example shown in the slide, the length of the first name in the EMPLOYEES table is compared to the length of the last name in the EMPLOYEES table. When the lengths of the names are equal, a null value is displayed. When the lengths of the names are not equal, the length of the first name is displayed. Note: The NULLIF function is logically equivalent to the following CASE expression. The CASE expression is discussed on a subsequent page: CASE WHEN expr1 = expr 2 THEN NULL ELSE expr1 END
  • #118: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The COALESCE function returns the first non-null expression in the list. Syntax COALESCE ( expr1 , expr2, ... exprn ) In the syntax: • expr1 returns this expression if it is not null • expr2 returns this expression if the first expression is null and this expression is not null • exprn returns this expression if the preceding expressions are null All expressions must be of the same data type.
  • #119: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the example shown in the slide, if the MANAGER_ID value is not null, it is displayed. If the MANAGER_ID value is null, then the COMMISSION_PCT is displayed. If the MANAGER_ID and COMMISSION_PCT values are null, then the value –1 is displayed.
  • #120: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Two methods used to implement conditional processing (IF-THEN-ELSE logic) in a SQL statement are the CASE expression and the DECODE function. Note: The CASE expression complies with ANSI SQL. The DECODE function is specific to Oracle syntax.
  • #121: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. CASE expressions let you use IF-THEN-ELSE logic in SQL statements without having to invoke procedures. In a simple CASE expression, the Oracle server searches for the first WHEN ... THEN pair for which expr is equal to comparison_expr and returns return_expr. If none of the WHEN ... THEN pairs meet this condition, and if an ELSE clause exists, then the Oracle server returns else_expr. Otherwise, the Oracle server returns null. You cannot specify the literal NULL for all the return_exprs and the else_expr. All of the expressions ( expr, comparison_expr, and return_expr) must be of the same data type, which can be CHAR, VARCHAR2, NCHAR, or NVARCHAR2.
  • #122: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the SQL statement in the slide, the value of JOB_ID is decoded. If JOB_ID is IT_PROG, the salary increase is 10%; if JOB_ID is ST_CLERK, the salary increase is 15%; if JOB_ID is SA_REP, the salary increase is 20%. For all other job roles, there is no increase in salary. The same statement can be written with the DECODE function. This is an example of a searched CASE expression. In a searched CASE expression, the search occurs from left to right until an occurrence of the listed condition is found, and then it returns the return expression. If no condition is found to be true, and if an ELSE clause exists, the return expression in the ELSE clause is returned; otherwise, NULL is returned. SELECT last_name,salary, (CASE WHEN salary&lt;5000 THEN &apos;Low&apos; WHEN salary&lt;10000 THEN &apos;Medium&apos; WHEN salary&lt;20000 THEN &apos;Good&apos; ELSE &apos;Excellent&apos; END) qualified_salary FROM employees;
  • #123: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The DECODE function decodes an expression in a way similar to the IF-THEN-ELSE logic that is used in various languages. The DECODE function decodes expression after comparing it to each search value. If the expression is the same as search , result is returned. If the default value is omitted, a null value is returned where a search value does not match any of the result values.
  • #124: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the SQL statement in the slide, the value of JOB_ID is tested. If JOB_ID is IT_PROG, the salary increase is 10%; if JOB_ID is ST_CLERK, the salary increase is 15%; if JOB_ID is SA_REP, the salary increase is 20%. For all other job roles, there is no increase in salary. The same statement can be expressed in pseudocode as an IF-THEN-ELSE statement: IF job_id = &apos;IT_PROG&apos; THEN salary = salary*1.10 IF job_id = &apos;ST_CLERK&apos; THEN salary = salary*1.15 IF job_id = &apos;SA_REP&apos; THEN salary = salary*1.20 ELSE salary = salary
  • #125: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. This slide shows another example using the DECODE function. In this example, we determine the tax rate for each employee in department 80 based on the monthly salary. The tax rates are as follows: Monthly Salary Range Tax Rate $0.00–1,999.99 00% $2,000.00–3,999.99 09% $4,000.00–5,999.99 20% $6,000.00–7,999.99 30% $8,000.00–9,999.99 40% $10,000.00–11,999.99 42% $12,200.00–13,999.99 44% $14,000.00 or greater 45% LAST_NAME SALARY TAX_RATE Zlotkey 10500 .42 Abel 11000 .42 Taylor 8600 .4
  • #126: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Single-row functions can be nested to any level. Single-row functions can manipulate the following: • Character data: LOWER, UPPER, INITCAP, CONCAT, SUBSTR, INSTR, LENGTH • Number data: ROUND, TRUNC, MOD • Date data: MONTHS_BETWEEN, ADD_MONTHS, NEXT_DAY, LAST_DAY, ROUND, TRUNC Remember the following: • Date values can also use arithmetic operators. • Conversion functions can convert character, date, and numeric values: TO_CHAR, TO_DATE, TO_NUMBER • There are several functions that pertain to nulls, including NVL, NVL2, NULLIF, and COALESCE. • IF-THEN-ELSE logic can be applied within a SQL statement by using the CASE expression or the DECODE function. SYSDATE and DUAL SYSDATE is a date function that returns the current date and time. It is customary to select SYSDATE from a dummy table called DUAL.
  • #127: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #128: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved.
  • #129: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. This lesson further addresses functions. It focuses on obtaining summary information (such as averages) for groups of rows. It discusses how to group rows in a table into smaller sets and how to specify search criteria for groups of rows.
  • #130: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Unlike single-row functions, group functions operate on sets of rows to give one result per group. These sets may comprise the entire table or the table split into groups.
  • #131: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Each of the functions accepts an argument. The following table identifies the options that you can use in the syntax: Function Description AVG([DISTINCT|ALL] n ) Average value of n , ignoring null values COUNT({*|[DISTINCT|ALL] expr }) Number of rows, where expr evaluates to something other than null (count all selected rows using *, including duplicates and rows with nulls) MAX([DISTINCT|ALL] expr ) Maximum value of expr , ignoring null values MIN([DISTINCT|ALL] expr ) Minimum value of expr , ignoring null values STDDEV([DISTINCT|ALL] x ) Standard deviation of n , ignoring null values SUM([DISTINCT|ALL] n ) Sum values of n , ignoring null values VARIANCE([DISTINCT|ALL] x ) Variance of n , ignoring null values
  • #132: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Guidelines for Using Group Functions • DISTINCT makes the function consider only nonduplicate values; ALL makes it consider every value, including duplicates. The default is ALL and therefore does not need to be specified. • The data types for the functions with an expr argument may be CHAR, VARCHAR2, NUMBER, or DATE. • All group functions ignore null values. To substitute a value for null values, use the NVL, NVL2, or COALESCE functions.
  • #133: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can use AVG, SUM, MIN, and MAX functions against columns that can store numeric data. The example in the slide displays the average, highest, lowest, and sum of monthly salaries for all sales representatives.
  • #134: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can use the MAX and MIN functions for numeric, character, and date data types. The slide example displays the most junior and most senior employees. The following example displays the employee last name that is first and the employee last name that is last in an alphabetized list of all employees: SELECT MIN(last_name), MAX(last_name) FROM employees; MIN(LAST_NAME) MAX(LAST_NAME) Abel Zlotkey
  • #135: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The COUNT function has three formats: • COUNT(*) • COUNT( expr ) • COUNT(DISTINCT expr ) COUNT(*) returns the number of rows in a table that satisfy the criteria of the SELECT statement, including duplicate rows and rows containing null values in any of the columns. If a WHERE clause is included in the SELECT statement, COUNT(*) returns the number of rows that satisfy the condition in the WHERE clause. In contrast, COUNT( expr ) returns the number of non-null values that are in the column identified by expr . COUNT(DISTINCT expr ) returns the number of unique, non-null values that are in the column identified by expr . Examples 1. The slide example displays the number of employees in department 50. 2. The slide example displays the number of employees in department 80 who can earn a commission.
  • #136: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Use the DISTINCT keyword to suppress the counting of any duplicate values in a column. The example in the slide displays the number of distinct department values that are in the EMPLOYEES table.
  • #137: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. All group functions ignore null values in the column. The NVL function forces group functions to include null values. Examples The average is calculated based on only those rows in the table where a valid value is stored in the COMMISSION_PCT column. The average is calculated as the total commission that is paid to all employees divided by the number of employees receiving a commission (four). 2. The average is calculated based on all rows in the table, regardless of whether null values are stored in the COMMISSION_PCT column. The average is calculated as the total commission that is paid to all employees divided by the total number of employees in the company (20).
  • #138: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Until this point in our discussion, all group functions have treated the table as one large group of information. At times, however, you need to divide the table of information into smaller groups. This can be done by using the GROUP BY clause.
  • #139: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can use the GROUP BY clause to divide the rows in a table into groups. You can then use the group functions to return summary information for each group. In the syntax: group_by_expression specifies columns whose values determine the basis for grouping rows Guidelines • If you include a group function in a SELECT clause, you cannot select individual results as well, unless the individual column appears in the GROUP BY clause. You receive an error message if you fail to include the column list in the GROUP BY clause. • Using a WHERE clause, you can exclude rows before dividing them into groups. • You must include the columns in the GROUP BY clause. • You cannot use a column alias in the GROUP BY clause.
  • #140: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. When using the GROUP BY clause, make sure that all columns in the SELECT list that are not group functions are included in the GROUP BY clause. The example in the slide displays the department number and the average salary for each department. Here is how this SELECT statement, containing a GROUP BY clause, is evaluated: • The SELECT clause specifies the columns to be retrieved, as follows: - Department number column in the EMPLOYEES table - The average of all the salaries in the group that you specified in the GROUP BY clause • The FROM clause specifies the tables that the database must access: the EMPLOYEES table. • The WHERE clause specifies the rows to be retrieved. Because there is no WHERE clause, all rows are retrieved by default. • The GROUP BY clause specifies how the rows should be grouped. The rows are grouped by department number, so the AVG function that is applied to the salary column calculates the average salary for each department.
  • #141: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The GROUP BY column does not have to be in the SELECT clause. For example, the SELECT statement in the slide displays the average salaries for each department without displaying the respective department numbers. Without the department numbers, however, the results do not look meaningful. You can use the group function in the ORDER BY clause: SELECT department_id, AVG(salary) FROM employees GROUP BY department_id ORDER BY AVG(salary); DEPARTMENT_ID AVG(SALARY) 50 3500 10 4400 60 6400 … 90 19333.3333 8 rows selected.
  • #142: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Sometimes you need to see results for groups within groups. The slide shows a report that displays the total salary that is paid to each job title in each department. The EMPLOYEES table is grouped first by department number and then by job title within that grouping. For example, the four stock clerks in department 50 are grouped together, and a single result (total salary) is produced for all stock clerks in the group.
  • #143: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You can return summary results for groups and subgroups by listing more than one GROUP BY column. You can determine the default sort order of the results by the order of the columns in the GROUP BY clause. In the slide example, the SELECT statement containing a GROUP BY clause is evaluated as follows: • The SELECT clause specifies the column to be retrieved: - Department number in the EMPLOYEES table - Job ID in the EMPLOYEES table - The sum of all the salaries in the group that you specified in the GROUP BY clause • The FROM clause specifies the tables that the database must access: the EMPLOYEES table. • The GROUP BY clause specifies how you must group the rows: - First, the rows are grouped by department number. - Second, the rows are grouped by job ID in the department number groups. So the SUM function is applied to the salary column for all job IDs in each department number group.
  • #144: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Whenever you use a mixture of individual items (DEPARTMENT_ID) and group functions (COUNT) in the same SELECT statement, you must include a GROUP BY clause that specifies the individual items (in this case, DEPARTMENT_ID). If the GROUP BY clause is missing, then the error message “not a single-group group function” appears and an asterisk (*) points to the offending column. You can correct the error in the slide by adding the GROUP BY clause: SELECT department_id, count(last_name) FROM employees GROUP BY department_id; DEPARTMENT_ID COUNT(LAST_NAME) 10 1 20 2 … Any column or expression in the SELECT list that is not an aggregate function must be in the GROUP BY clause.
  • #145: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The WHERE clause cannot be used to restrict groups. The SELECT statement in the slide example results in an error because it uses the WHERE clause to restrict the display of average salaries of those departments that have an average salary greater than $8,000. You can correct the error in the example by using the HAVING clause to restrict groups: SELECT department_id, AVG(salary) FROM employees HAVING AVG(salary) &gt; 8000 GROUP BY department_id; DEPARTMENT_ID AVG_SALARY 20 9500 80 10033.3333 90 19333.3333 110 10150
  • #146: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. In the same way that you use the WHERE clause to restrict the rows that you select, you use the HAVING clause to restrict groups. To find the maximum salary in each of the departments that have a maximum salary greater than $10,000, you need to do the following: 1. Find the average salary for each department by grouping by department number. 2. Restrict the groups to those departments with a maximum salary greater than $10,000.
  • #147: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. You use the HAVING clause to specify which groups are to be displayed, thus further restricting the groups on the basis of aggregate information. In the syntax, group_condition restricts the groups of rows returned to those groups for which the specified condition is true. The Oracle server performs the following steps when you use the HAVING clause: 1. Rows are grouped. 2. The group function is applied to the group. 3. The groups that match the criteria in the HAVING clause are displayed. The HAVING clause can precede the GROUP BY clause, but it is recommended that you place the GROUP BY clause first because that is more logical. Groups are formed and group functions are calculated before the HAVING clause is applied to the groups in the SELECT list.
  • #148: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The slide example displays department numbers and maximum salaries for those departments with a maximum salary that is greater than $10,000. You can use the GROUP BY clause without using a group function in the SELECT list. If you restrict rows based on the result of a group function, you must have a GROUP BY clause as well as the HAVING clause. The following example displays the department numbers and average salaries for those departments with a maximum salary that is greater than $10,000: SELECT department_id, AVG(salary) FROM employees GROUP BY department_id HAVING max(salary)&gt;10000; DEPARTMENT_ID AVG(SALARY) 20 9500 80 10033.3333 90 19333.3333 110 10150
  • #149: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. The slide example displays the job ID and total monthly salary for each job that has a total payroll exceeding $13,000. The example excludes sales representatives and sorts the list by the total monthly salary.
  • #150: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Group functions can be nested to a depth of two. The slide example displays the maximum average salary.
  • #151: [Title of the course] Jun 21, 2011 Copyright © 2004-2005 NameOfTheOrganization. All rights reserved. Several group functions are available in SQL, such as the following: AVG, COUNT, MAX, MIN, SUM, STDDEV, and VARIANCE You can create subgroups by using the GROUP BY clause. Groups can be restricted using the HAVING clause. Place the HAVING and GROUP BY clauses after the WHERE clause in a statement. The order of the HAVING and GROUP clauses following the WHERE clause is not important. Place the ORDER BY clause last. The Oracle server evaluates the clauses in the following order: 1. If the statement contains a WHERE clause, the server establishes the candidate rows. 2. The server identifies the groups that are specified in the GROUP BY clause. 3. The HAVING clause further restricts result groups that do not meet the group criteria in the HAVING clause.
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