Database implementation Introduction to SQL

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1 IRU SEMESTER 2 January 2010 Semester 1 Session 1 Database implementation Introduction to SQL Objectives To be able to connect to the local ORACLE database To be able to describe the component parts of the SQL command set. To be able to use the SELECT statement, including WHERE clause Multiple conditions Comparative operators Logical operators To extract data from an ORACLE database. To be able to connect to, and use, the IRU pages at askgeoff.org.uk and the IRU material on blackboard (if available!) To begin work on the IRU assignment, part one (if available!) C:\Allwork\geoff\Modules\IR&U\IRU session 1 header - SQL 1.doc

2 Information Retrieval and Use (IRU) CE An Introduction To SQL Part Outline of Lecture/Tutorial approach The first two weeks will concentrate on the following: Select Statements The Where Clause Manipulating data using the emp and dept tables using Oracle SQL+ so that you get a feel for the SQL language. Creating tables, populating them with data and manipulating the data. The tutorials will allow you to work through a series of questions to reinforce the lecture material. You will find it useful to keep your lecture material with you during the tutorials. The Basics: SQL Command Set Data Manipulation Language (DML) Insert allows you to enter new rows Update allows you to change existing rows Delete remove unwanted rows Select is used to retrieve data from the database. Data Description Language (DDL) Create create objects Alter structurally change objects Drop drop objects within the database (Objects are tables, views, indexes etc.) 3 1

3 The SQL Command Set continued Data Control Language (DCL) Grant specify access rights on objects Revoke remove access rights These statements are NOT case-sensitive Each of the statements should be terminated with a semicolon ; at the end of the last line, OR a slash can be used on the following line. 4 The Select Statement This is the most commonly used statement, to query database information. The informal syntax is a follows: SELECT column_name(s) FROM table_name(s) WHERE constraint(s); * asks for all the columns to be returned. 5 The Select Statement: data retrieval. The top line SELECT describes the column name(s) from which you are attempting to build the query. The second line FROM lists the tables or relations that contain the data necessary to service the query 6 The third line, the WHERE constraint is optional. The WHERE clause allows you to specify the tuples (rows) to be returned. 2

4 The Select Statement: Examples The basic statement: If we wish to display all of the tuples (rows) of a given relation (i.e. table): SELECT * ; (; end of statement to be executed) We can constrain this by requesting only those employee s with the name Allen SELECT * WHERE ENAME = ALLEN ; (this is the constraint) Allen is enclosed in quotation marks as we are searching on a column data type which is a string 7 Select Statement Examples If we want to search on numeric columns: SELECT * FROM DEPT WHERE DEPTNO = 10; SELECT * WHERE EMPNO = 7654; 8 The Where Clause This clause is used to restrict the output to show a subset of the rows from a table. It must be placed after the FROM clause The WHERE clause has the following format: WHERE Operators may be: Comparative Operators =!= < > <= >= <> and Logical Operators AND, OR, NOT SELECT * WHERE EMPNO = 7521 AND ENAME = WARD ; 9 3

5 Where Clause Example 10 If we said: SELECT * WHERE EMPNO = 7369 AND ENAME = WARD ; We would return an empty table as there are no tuples (rows) that satisfy both of these constraints. However if we said: SELECT * WHERE EMPNO = 7876 OR ENAME = KING Two tuples would be returned as these would satisfy one or other of the constraints. Select statement: retrieving attributes 11 You can retrieve attribute values by specifying columns: The command is SELECT COLUMN_NAME (S) FROM TABLE_NAME (S); SELECT ENAME ; Will return one column, and the values from the ename column (14 rows). SELECT EMPNO,ENAME,JOB ; Will return three columns, in that order (14 rows) Where clause: more constraints Row and Columns constraints can be set as follows: SELECT EMPNO, ENAME WHERE SAL > 2000; Returns only those columns empno and ename from the emp table and only those rows with a balance greater than SELECT EMPNO, ENAME, JOB, SAL WHERE SAL BETWEEN 1500 AND 3000; Displays all those employees who earn between 1500 and 3000 (four columns and eight rows in this case) 4

6 Where clause: The Like operator If we want to search for employees whose name begins with the letter A We can say: SELECT EMPNO, ENAME, JOB WHERE ENAME LIKE A% ; This will display two tuples (rows) i.e. all those employees whose names begin with A and three columns. The % is a wildcard operator. 13 Where clause: Not In operator You can use the NOT IN operator as follows: SELECT ENAME, JOB, SAL WHERE JOB NOT IN ( SALESMAN, MANAGER ); This will return those employees who are not salesmen or managers. You can also use the operator!= 14 Where clause: multiple conditions If you want to find all the clerks in department 30 who earn less than $1000 you can say: SELECT ENAME,JOB, SAL WHERE DEPTNO = 30 AND JOB = CLERK AND SAL < 1000; This will return 1 row for James, a clerk who earns $

7 Joins Oracle provides you with the capability to gather and manipulate data over several tables using the JOIN feature. A join is one of the fundamental operations in relational algebra. The basic Structure is: SELECT table1.column1, table1.column2, table2.column1 FROM table1, table2, tablen WHERE join criteria; 16 Joining Tables: Example We want to know where ALLEN works. The EMP table does not hold the location details but the DEPT table does. SELECT ename, loc FROM emp,dept WHERE emp.deptno = dept.deptno; AND ename = ALLEN 17 We need to distinguish between the deptno in the two tables therefore they are prefixed with the table name. Here we have an equi-join in the WHERE clause. Joining Tables:Use of Abbreviations/aliases SELECT d.*, ename, job FROM emp e, dept d WHERE e.deptno = d.deptno AND e.deptno = (30,40) ORDER BY e.deptno; The alias d.* will retrieve all the column names in the DEPT Table. 18 We use aliases to identify which column name belong to which table as some column names will exist in more than one table for example, deptno. 6

8 Joining Tables: Outer Join Normally when tables are joined we use primary/foreign keys which are generally defined as NOT NULL, however to join non key elements we may use an OUTER JOIN. i.e Department 40 in table DEPT has no matching employees in table EMP so normal join queries would not retrieve department 40. The symbol for outer joins is an (+) SELECT DEPT.DEPTNO, DNAME, JOB, ENAME FROM DEPT, EMP WHERE DEPT.DEPTNO = EMP.DEPTNO(+) AND DEPT.DEPTNO = (30,40) ORDER BY DEPT.DEPTNO; 19 Views A view is a type of window that allows you to view selected portions of data. Advantages: Security: a secure table may contain sensitive or confidential information that prevents it from general circulation. You can deny access to the emp table itself but instead provide access to a VIEW without the salary or commission details. A view can be constructed on a need to know basis. Convenience: instead of using complex queries to get a perspective on your data, you can create a view which allows you to obtain the same information with a simple query. 20 Views No additional memory is required for a view as the view is created from the base tables every time the view is called. CREATE VIEW view_name AS (SELECT columns FROM table_name WHERE row_selector); CREATE VIEW EMP10 AS SELECT EMPNO, ENAME. JOB WHERE DEPTNO = 10; 21 A message will be displayed view created you can check your view by: SELECT * 10; 7

9 Views You can add, delete or update data in a view. UPDATE emp10 SET job = CLERK Where ename = MILLER ; Delete, rename or drop a view. DELETE FROM emp10 WHERE ename = Wilson ; RENAME emp10 to emp11; DROP VIEW emp11; 22 Queries: Nested Sub Queries When one of the conditions in a WHERE clause is a query itself it is known as a nested sub-query. It is used for stepwise processing. SELECT ename, job FROM emp WHERE job = (SELECT job FROM emp WHERE ename = JONES ) The sub query is enclosed in brackets. The values compared across the outer query and the subquery must be of the same datatype. Nested query is performed in step 1 and its result is used in step 2 with the outer query. 23 Nested Sub Queries Example: Find the person who earns the highest salary: Step 1: find the maximum salary Step 2: Find the person whose salary is equal to the maximum salary SELECT ename, sal FROM emp WHERE sal = (SELECT MAX(sal) FROM emp); 24 8

10 Next week More DML additional SELECT clauses Insert, Alter and Delete DDL CREATing, ALTERing and DROPping objects 25 Useful Texts Rolland, F.D (1997), Essence of Databases (Essence of Computing), Prentice-Hall. ISBN Date C.J. (2000); An Introduction to Database Systems, Addison Wesley, (or any earlier editions) Patrick J.P. (2002), SQL Fundamentals (2 nd edition), Prentice Hall, ISBN SQL at w3schools (click to follow the link) 26 9

11 IRU SEMESTER 2 January 2010 Semester 1 Session 1 Database implementation Introduction to SQL Tutorial work A. Complete SQL exercise one (attached). Notes Remember that the SQL+ interface has no real correction or editing facilities. You will find it MUCH easier if you compose your SQL commands in notepad, then copy them into the SQL+ window for execution as demonstrated. If you then copy the resultant output back into the notepad file, you will build up a file of commands and their output. This will form a useful reference when composing your own SQL commands later. Be ready to demonstrate your solutions during next week s tutorial session. C:\Allwork\geoff\Modules\IR&U\IRU session 1 tutorial - SQL 1.doc

12 IRU SEMESTER 2 January 2010 SQL Exercise 1: Using the EMP and DEPT tables - 1: List all employees whose salary is between 1000 and Show employee name, department and salary as below: ENAME DEPTNO SAL ALLEN WARD MARTIN TURNER ADAMS MILLER rows selected. 2: Display all the different types of occupations as below: JOB ANALYST CLERK MANAGER PRESIDENT SALESMAN 3: List details of employees in departments 10 or in department 30 as below: EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ALLEN SALESMAN FEB WARD SALESMAN FEB MARTIN SALESMAN SEP BLAKE MANAGER MAY CLARK MANAGER JUN KING PRESIDENT 17-NOV TURNER SALESMAN SEP JAMES CLERK DEC MILLER CLERK JAN rows selected. Continues on next page C:\Allwork\geoff\Modules\IR&U\IRU session 1 tutorial - SQL 1.doc

13 IRU SEMESTER 2 January : Display all employees who were recruited during 1982 giving their name, department and hiredate as below: ENAME HIREDATE DEPTNO APR JAN : List employees whose names have TH or LL in them as below: ENAME SMITH ALLEN MILLER 6: List the department numbers and names in department name order as below: DEPTNO DNAME ACCOUNTING 40 OPERATIONS 20 RESEARCH 30 SALES 7: Find the name, job, salary and commission of all employees who do not have managers ENAME JOB SAL COMM KING PRESIDENT : List all salesmen in descending order of their commission divided by their salary: ENAME COMM SAL MARTIN WARD ALLEN TURNER : Calculate the total annual compensation of all salesmen based upon their monthly salary and monthly commission: ENAME SAL COMM (SAL+COMM)* ALLEN WARD MARTIN TURNER : Find all the salesmen in department 30 who have a salary greater than or equal to $1500: ENAME SAL DEPTNO ALLEN TURNER Some of the above results may vary slightly depending on the precise dataset you are using. C:\Allwork\geoff\Modules\IR&U\IRU session 1 tutorial - SQL 1.doc

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