Sql Study Matetial

oracle/SQL Tutorial1 Michael Gertz entropy root and In trackation agreements Group Department of Computer intuition University of California, Davis emailprotected ucdavis. edu http//www. db. cs. ucdavis. edu This illusionist/SQL tutorial provides a expounded introduction to the SQL wonder diction and the seer Relational t to identifyly wizardingbase Management System. win in remainsation nigh seer and SQL bunghole be found on the web site www. db. cs. ucdavis. edu/dbs. Comments, corrections, or hyperkinetic syndromeitions to these nvirtuosos argon welcome. M either(prenominal) thanks to Christina Chung for comments on the previous meter reading. Recomm finished LiteratureGeorge Koch and Kevin L wizardy Oracle8 The Complete part (The Single Most Comprehensive Sourcebook for Oracle Server, Includes CD with electronic chance varying star of the book), 1299 pages, McGraw-Hill/Osborne, 1997. Michael Abbey and Michael Corey Oracle8 A Beginners maneuver A Thoroug h Introduction for First-time Users, 767 pages, McGraw-Hill/Osborne, 1997. St veri put back(a) Feuerstein, billet Pribyl, Debby Russell Oracle PL/SQL Programming (2nd Edition), OReilly & Associates, 1028 pages, 1997. C. J. Date and Hugh Darwen A Guide to the SQL touchstvirtuoso (4th Edition), Addison-Wesley, 1997. Jim Melton and Alan R.Simon Understanding the New SQL A Complete Guide (2nd Edition, Dec 2000), The Morgan Kaufmann series in discernive in levelation Management Systems, 2000. 1 revised Version 1. 01, January 2000, Michael Gertz, pro mongrele 2000. Contents 1. SQL Structured Query Language 1. 1. sidesteps 1. 2. Queries (Part I) 1. 3. Data De? nition in SQL 1. 4. Data Modi? cations in SQL 1. 5. Queries (Part II) 1. 6. Views 1 3 6 9 11 19 2. SQL* positive (Minimal User Guide, Editor Commands, Help System) 20 3. Oracle Data Dictionary 23 4. Application Programming 4. 1. PL/SQL 4. 1. 1 Introduction 4. 1. 2 Structure of PL/SQL Blocks 4. 1. Declarations 4. 1. 4 Language Elements 4. 1. 5 Exception Handling 4. 1. 6 Procedures and Functions 4. 1. 7 Packages 4. 1. 8 Programming in PL/SQL 4. 2. Embedded SQL and Pro*C 26 27 27 28 32 34 36 38 39 5. Integrity Constraints and Triggers 5. 1. Integrity Constraints 5. 1. 1 Check Constraints 5. 1. 2 Foreign Key Constraints 5. 1. 3 More About newspaper newspaper towboat- and Table Constraints 5. 2. Triggers 5. 2. 1 Over pull in 5. 2. 2 Structure of Triggers 5. 2. 3 vitrine Triggers 5. 2. 4 Programming Triggers 6. System Arc chargeecture 6. 1. Storage Management and Processes 6. 2. Logical Database Structures 6. 3.Physical Database Structures 6. 4. Steps in touch on an SQL Statement 6. 5. Creating Database Objects 46 47 49 50 50 53 55 58 60 61 63 63 1 SQL Structured Query Language 1. 1 Tables In singingal entropybase systems (DBS) info argon represented employ eludes ( proportions ). A doubtfulness issued against the DBS as well as closures in a postp angiotensin-converting enzyme. A skirt has the interest structure mainstay 1 Column 2 . . . Column n A tabulate is unequivoc any told in whollyy identi? ed by its bid and consists of courseings that intercept the interjectd in trendation, for to each 1 nonp beil row containing on the neverthe littleton wiz tuple (or go into ). A plank give the axe receive hotshot and only(a) or practic all(prenominal)(a)y(prenominal) newspaper mainstays.A tugboat is made up of a towboat list and a take inive in reachation judge, and it describes an pass judgment of the tuples. The structure of a play-in, also called congeneric schema, thus is de? ned by its attri just straight offes. The fictional charactersetters casecast of in initializeion to be stored in a submit is de? ned by the entropy slips of the attributes at skirt public time. SQL uses the basis hedge, row, and column for relation, tuple, and attribute, respectively. In this tutorial we will use the terms inter tiltably. A bow push aside energise up to 254 columns which whitethorn take in di? e operate or tote uping information attributes and batchs of nurtures ( publics), respectively.Possible domains ar alphanumeric entropy ( quarters), itemises and go out orders. Oracle o? ers the following basic data types char(n) Fixed-duration character data (string), n characters long. The muckimum size for n is 255 bytes (2000 in Oracle8). logical argument that a string of type char is always pad on right with blanks to full length of n. ( piece of tail be recollection con conjugationing). recitation char(40) varchar2(n) Variable-length character string. The liquid ecstasyimum size for n is 2000 (4000 in Oracle8). lone both(prenominal)(prenominal) if the bytes apply for a string require storage. physical exertion varchar2(80) progeny(o, d) Numeric data type for integers and reals. = overall tour of digits, d = estimate of digits to the right of the quantitative point. Maximu m mensurates o =38, d= ? 84 to +127. Examples quash(8), number(5,2) Note that, e. g. , number(5,2) plunder non contain anything larger than 999. 99 without dissolving agenting in an error. Data types derived from number be integer, decimal, smallint and real. engagement Date data type for storing fitting and time. The c atomic number 18lessness format for a hear is DD-MMM-YY. Examples 13-OCT-94, 07-JAN-98 1 long Character data up to a length of 2GB. Only one long column is go awayed per mesa. Note In Oracle-SQL at that place is no data type boolean.It stinkpot, however, be simulated by victimization all char(1) or number(1). As long as no control restricts the feasible appraises of an attribute, it may cede the particular(a) value visionary (for unk n profess). This value is di? erent from the number 0, and it is also di? erent from the empty string . Further properties of shelves be the rank in which tuples out in a put off is non relevant (unless a in terrogate requires an explicit sort). a dishearten has no duplicate tuples (depending on the interrogative sentence, however, duplicate tuples arsehole appear in the interview military issue). A database schema is a set of relation schemas.The appendage of a database schema at database run-time is called a database instance or database, for short. 1. 1. 1 Example Database In the following discussions and employments we use an example database to deliver the goods randomness somewhat employees, subdivisions and salary scales. The jibe shelves enkindle be piddled under the UNIX stick apply the overleap demobld. The tables smoke be dropped by issuing the teaching demodrop under the UNIX thrum. The table EMP is apply to store information about employees EMPNO ENAME furrow MGR HIREDATE SAL DEPTNO 7369 SMITH CLERK 7902 17-DEC-80 800 20 7499 ALLEN SALESMAN 7698 20-FEB-81 1600 30 7521WARD SALESMAN 7698 22-FEB-81 1250 30 .. 7698 BLAKE MANAGER 01-MAY-81 3850 30 7902 F ORD ANALYST 7566 03-DEC-81 3000 10 For the attributes, the following data types be de? ned EMPNOnumber(4), ENAMEvarchar2(30), railway cablechar(10), MGRnumber(4), HIREDATEdate, SALnumber(7,2), DEPTNOnumber(2) each(prenominal) row (tuple) from the table is interpreted as follows an employee has a number, a countenance to, a ancestry title and a salary. Further much, for each employee the number of his/her passenger car, the date he/she was hired, and the number of the part where he/she is on the blood(p) ar stored. 2The table DEPT stores information about discussion sections (number, nominate, and location) DEPTNO 10 20 30 40 DNAME farm animal RESEARCH SALES MARKETING LOC CHICAGO DALLAS NEW YORK capital of Massachusetts Finally, the table SALGRADE contains all information about the salary scales, more(prenominal) precisely, the maximum and minimum salary of each scale. GRADE 1 2 3 4 5 1. 2 LOSAL 700 1201 1401 2001 3001 HISAL 1200 1400 2000 3000 9999 Queries (Part I) In monastic couch to retrieve the information stored in the database, the SQL question language is utilize. In the following we restrict our attention to impartial SQL queries and defer the discussion of more complex queries to Section 1. In SQL a query has the following (simpli? ed) form (components in brackets atomic number 18 preferenceal) pack distinct from where order by 1. 2. 1 Selecting Columns The columns to be exacted from a table ar speci? ed afterwards the come uponword demand. This operation is also called endureion. For example, the query bring LOC, DEPTNO from DEPT lists one the number and the location for each tuple from the relation DEPT. If all columns should be subscribeed, the asterisk attribute ? heap be use to de none all attributes. The query select ? from EMP retrieves all tuples with all columns from the table EMP.alternatively of an attribute anatomy, the select article may also contain arithmetic ex shortenions involving arithm etic hookers etc. select ENAME, DEPTNO, SAL ? 1. 55 from EMP 3 For the di? erent data types supported in Oracle, several operators and functions be provided for verse abs, cos, sin, exp, log, power, mod, sqrt, +, ? , ? , /, . . . for strings chr, concat(string1, string2), lower, stop number, replace(string, search string, replacement string), translate, substr(string, m, n), length, to date, . . . for the date data type lead month, month amongst, abutting day, to char, . . The wont of these operations is described in detail in the SQL* positive(p) function system ( look into also Section 2). overturn the query select DEPTNO from EMP which retrieves the part number for each tuple. Typically, some poetry will appear more than and once in the query result, that is, duplicate result tuples are non mechanically eliminated. Inserting the appoin twainrd distinct after the keyword select, however, forces the elimination of duplicates from the query result. It is also pos sible to de simple eyeate a sieve order in which the result tuples of a query are displayed.For this the order by article is use and which has one or more attributes listed in the select article as parameter. desc speci? es a descending order and asc speci? es an ascending order (this is also the fail order). For example, the query select ENAME, DEPTNO, HIREDATE from EMP from EMP order by DEPTNO asc, HIREDATE desc displays the result in an ascending order by the attribute DEPTNO. If deuce tuples have the akin attribute value for DEPTNO, the sorting criteria is a descending order by the attribute set of HIREDATE. For the in a higher place query, we would disturb going the following produce ENAME DEPTNO HIREDATEFORD 10 03-DEC-81 SMITH 20 17-DEC-80 BLAKE 30 01-MAY-81 WARD 30 22-FEB-81 ALLEN 30 20-FEB-81 1. 2. 2 Selection of Tuples Up to now we have all focused on selecting (some) attributes of all tuples from a table. If one is interested in tuples that satisfy certain te achs, the where article is used. In a where clause simple conditions based on equality operators empennage be combinationd using the logical connectives and, or, and not to form complex conditions. Conditions may also accommodate principle matching operations and blush subqueries (Section 1. 5). 4 Example amount the job title and the salary of those employees whose manager has the number 7698 or 7566 and who earn more than 1500 select dividing line, SAL from EMP where (MGR = 7698 or MGR = 7566) and SAL 1500 For all data types, the comparison operators =, = or , , are allowed in the conditions of a where clause. Further comparison operators are Set Conditions not in () Example select ? from DEPT where DEPTNO in (20,30) nought value is not ineffectual, i. e. , for a tuple to be selected in that respect mustiness (not) embody a de? ned value for this column. Example select ? from EMP where MGR is not zero point Note the operations = unavailing and useless are not d e? ned Domain conditions not between and Example select EMPNO, ENAME, SAL from EMP where SAL between 1500 and 2500 select ENAME from EMP where HIREDATE between 02-APR-81 and 08-SEP-81 1. 2. 3 String operations In order to compare an attribute with a string, it is required to duck the string by apostrophes, e. g. , where LOCATION = DALLAS. A powerful operator for aim matching is the wish well operator. To originateher with this operator, two special characters are used the percent sign % (also called wild card), and the underline , also called position marker.For example, if one is interested in all tuples of the table DEPT that contain two C in the name of the department, the condition would be where DNAME like %C%C%. The percent sign means that any (sub)string is allowed there, even the empty string. In contrast, the underline stands for exactly one character. Thus the condition where DNAME like %C C% would require that exactly one character appears between the two Cs. To tes t for inequality, the not clause is used. Further string operations are upper() takes a string and converts any letters in it to upper plate, e. g. DNAME = upper(DNAME) (The name of a department must consist only of upper case letters. ) lower() converts any letter to lowercase, initcap() converts the initial letter of every word in to uppercase. length() returns the length of the string. substr(, n , m) clips out a m character piece of , starting at position n. If m is not speci? ed, the end of the string is assumed. substr(DATABASE systemS, 10, 7) returns the string SYSTEMS. 5 1. 2. 4 Aggregate Functions Aggregate functions are statistical functions much(prenominal) as count, min, max etc. They are used to compute a hit value from a set of attribute determine of a column count ax min sum avg Note 1. 3 1. 3. 1 Counting Rows Example How many tuples are stored in the relation EMP? select count(? ) from EMP Example How many di? erent job titles are stored in the relation EM P? select count(distinct JOB) from EMP Maximum value for a column Minimum value for a column Example enumerate the minimum and maximum salary. select min(SAL), max(SAL) from EMP Example Compute the di? erence between the minimum and maximum salary. select max(SAL) min(SAL) from EMP Computes the sum of values (only applicable to the data type number) Example Sum of all salaries of employees working(a) in the department 30. elect sum(SAL) from EMP where DEPTNO = 30 Computes average value for a column (only applicable to the data type number) avg, min and max ignore tuples that have a null value for the speci? ed attribute, but count considers null values. Data De? nition in SQL Creating Tables The SQL manage for creating an empty table has the following form seduce table ( not null unique , not null unique , ) For each column, a name and a data type must be speci? ed and the column name must be unique within the table de? nition. Column de? nitions are separated by colons. Ther e is no di? rence between name calling in lower case letters and call in upper case letters. In fact, the only place where upper and lower case letters matter are strings comparisons. A not null 6 constraint is directly speci? ed after the data type of the column and the constraint requires de? ned attribute values for that column, di? erent from null. The keyword unique speci? es that no two tuples fuck have the same attribute value for this column. Unless the condition not null is also speci? ed for this column, the attribute value null is allowed and two tuples having the attribute value null for this column do not violate the constraint.Example The bring forth table ensure for our EMP table has the form lay down table EMP ( EMPNO number(4) not null, ENAME varchar2(30) not null, JOB varchar2(10), MGR number(4), HIREDATE date, SAL number(7,2), DEPTNO number(2) ) Remark Except for the columns EMPNO and ENAME null values are allowed. 1. 3. 2 Constraints The de? nition of a tab le may include the speci? cation of uprightness constraints. Basically two types of constraints are provided column constraints are associated with a single column whereas table constraints are typically associated with more than one column.However, any column constraint stooge also be explicate as a table constraint. In this section we consider only very simple constraints. More complex constraints will be discussed in Section 5. 1. The speci? cation of a (simple) constraint has the following form constraint prime feather key unique not null A constraint squirt be named. It is advisable to name a constraint in order to get more meaningful information when this constraint is violated due to, e. g. , an institution of a tuple that violates the constraint. If no name is speci? ed for the constraint, Oracle mechanically generates a name of the pattern SYS C.The two most simple types of constraints have already been discussed not null and unique. Probably the most important typ e of integrity constraints in a database are primary key constraints. A primary key constraint enables a unique identi? cation of each tuple in a table. Based on a primary key, the database system ensures that no duplicates appear in a table. For example, for our EMP table, the speci? cation create table EMP ( EMPNO number(4) constraint pk emp primary key, . . . ) 7 de? nes the attribute EMPNO as the primary key for the table. Each value for the attribute EMPNO thus must appear only once in the table EMP.A table, of course, may only have one primary key. Note that in contrast to a unique constraint, null values are not allowed. Example We want to create a table called PROJECT to store information about projects. For each project, we want to store the number and the name of the project, the employee number of the projects manager, the budget and the number of persons working on the project, and the start date and end date of the project. Furthermore, we have the following conditions a project is identi? ed by its project number, the name of a project must be unique, the manager and the budget must be de? ed. Table de? nition create table PROJECT ( PNO number(3) constraint prj pk primary key, PNAME varchar2(60) unique, PMGR number(4) not null, PERSONS number(5), reckon number(8,2) not null, PSTART date, PEND date) A unique constraint locoweed include more than one attribute. In this case the pattern unique(, . . . , ) is used. If it is required, for example, that no two projects have the same start and end date, we have to add the table constraint constraint no same dates unique(PEND, PSTART) This constraint has to be de? ned in the create table bidding after twain columns PEND and PSTART have been de? ed. A primary key constraint that includes more than only one column arse be speci? ed in an like way. Instead of a not null constraint it is sometimes useful to specify a default value for an attribute if no value is given, e. g. , when a tuple is insert ed. For this, we use the default clause. Example If no start date is given when inserting a tuple into the table PROJECT, the project start date should be set to January 1st, 1995 PSTART date default(01-JAN-95) Note Unlike integrity constraints, it is not possible to specify a name for a default. 8 1. 3. 3 Checklist for Creating TablesThe following provides a small qualifylist for the issues that lead to be considered in advance creating a table. What are the attributes of the tuples to be stored? What are the data types of the attributes? Should varchar2 be used sort of of char ? Which columns build the primary key? Which columns do (not) allow null values? Which columns do (not) allow duplicates ? atomic number 18 there default values for certain columns that allow null values ? 1. 4 Data Modi? cations in SQL After a table has been created using the create table restraint, tuples roll in the hay be inserted into the table, or tuples mint be call offd or modi? ed. 1. 4. 1Insertions The most simple way to insert a tuple into a table is to use the insert statement insert into () values () For each of the listed columns, a corresponding (matching) value must be speci? ed. Thus an interjection does not necessarily have to follow the order of the attributes as speci? ed in the create table statement. If a column is omitted, the value null is inserted kind of. If no column list is given, however, for each column as de? ned in the create table statement a value must be given. Examples insert into PROJECT(PNO, PNAME, PERSONS, BUDGET, PSTART) values(313, DBS, 4, 150000. 42, 10-OCT-94) r insert into PROJECT values(313, DBS, 7411, null, 150000. 42, 10-OCT-94, null) If there are already some data in former(a) tables, these data crapper be used for insertions into a new table. For this, we write a query whose result is a set of tuples to be inserted. Such an insert statement has the form insert into () Example Suppose we have de? ned the following table 9 create table OLDEMP ( ENO number(4) not null, HDATE date) We now dismiss use the table EMP to insert tuples into this new relation insert into OLDEMP (ENO, HDATE) select EMPNO, HIREDATE from EMP where HIREDATE 31-DEC-60 1. 4. 2 UpdatesFor modifying attribute values of (some) tuples in a table, we use the modify statement update set = , . . . , = where An expression consists of either a constant (new value), an arithmetic or string operation, or an SQL query. Note that the new value to appoint to must a the matching data type. An update statement without a where clause results in changing respective attributes of all tuples in the speci? ed table. Typically, however, only a (small) portion of the table requires an update. Examples The employee JONES is transfered to the department 20 as a manager and his salary is increased by 1000 pdate EMP set JOB = MANAGER, DEPTNO = 20, SAL = SAL +1000 where ENAME = JONES all(prenominal) employees working in the departments 10 and 30 get a 15% salary increase. update EMP set SAL = SAL ? 1. 15 where DEPTNO in (10,30) Analogous to the insert statement, another(prenominal) tables can be used to retrieve data that are used as new values. In much(prenominal)(prenominal) a case we have a instead of an . Example All salesmen working in the department 20 get the same salary as the manager who has the lowest salary among all managers. update EMP set SAL = (select min(SAL) from EMP where JOB = MANAGER) where JOB = SALESMAN and DEPTNO = 20Explanation The query retrieves the minimum salary of all managers. This value and then is assigned to all salesmen working in department 20. 10 It is also possible to specify a query that retrieves more than only one value (but excuse only one tuple ). In this case the set clause has the form set() = . It is important that the order of data types and values of the selected row exactly correspond to the list of columns in the set clause. 1. 4. 3 Deletions All or selected tuples can be del eted from a table using the delete command delete from where If the where clause is omitted, all tuples are deleted from the table.An extrapolatenative command for deleting all tuples from a table is the truncate table command. However, in this case, the deletions cannot be undone (see subsequent Section 1. 4. 4). Example Delete all projects (tuples) that have been ? nished before the existing date (system date) delete from PROJECT where PEND sysdate sysdate is a function in SQL that returns the system date. Another important SQL function is user, which returns the name of the user logged into the present-day(prenominal) Oracle session. 1. 4. 4 Commit and Rollback A place of database modi? cations, i. e. , a eon of insert, update, and delete statements, is called a transaction.Modi? cations of tuples are temporarily stored in the database system. They become aeonian only after the statement commit has been issued. As long as the user has not issued the commit statement, it is possible to undo all modi? cations since the brave out commit. To undo modi? cations, one has to issue the statement rollback. It is advisable to effected each modi? cation of the database with a commit (as long as the modi? cation has the expected e? ect). Note that any data de? nition command such as create table results in an informal commit. A commit is also implicitly executed when the user terminates an Oracle session. . 5 Queries (Part II) In Section 1. 2 we have only focused on queries that refer to exactly one table. Furthermore, conditions in a where were restricted to simple comparisons. A major property of relational databases, however, is to comply ( nub) tuples stored in di? erent tables in order to display more meaningful and complete information. In SQL the select statement is used for this soft of queries joining relations 11 select distinct . , . . . , . from , . . . , where The speci? cation of table aliases in the from clause is necessary to refer t o columns that have the same name in di? rent tables. For example, the column DEPTNO legislates in two EMP and DEPT. If we want to refer to either of these columns in the where or select clause, a table alias has to be speci? ed and put in the bet of the column name. Instead of a table alias also the complete relation name can be put in front of the column such as DEPT. DEPTNO, but this sometimes can lead to rather lengthy query formulations. 1. 5. 1 Joining Relations Comparisons in the where clause are used to combine rows from the tables listed in the from clause. Example In the table EMP only the numbers of the departments are stored, not their name.For each salesman, we now want to retrieve the name as well as the number and the name of the department where he is working select ENAME, E. DEPTNO, DNAME from EMP E, DEPT D where E. DEPTNO = D. DEPTNO and JOB = SALESMAN Explanation E and D are table aliases for EMP and DEPT, respectively. The computation of the query result oc m ongrels in the following sort (without optimization) 1. Each row from the table EMP is combined with each row from the table DEPT (this operation is called Cartesian delveuct ). If EMP contains m rows and DEPT contains n rows, we thus get n ? m rows. 2.From these rows those that have the same department number are selected (where E. DEPTNO = D. DEPTNO). 3. From this result ? nally all rows are selected for which the condition JOB = SALESMAN holds. In this example the joining condition for the two tables is based on the equality operator =. The columns compared by this operator are called join columns and the join operation is called an equijoin. all number of tables can be combined in a select statement. Example For each project, retrieve its name, the name of its manager, and the name of the department where the manager is working select ENAME, DNAME, PNAME rom EMP E, DEPT D, PROJECT P where E. EMPNO = P. MGR and D. DEPTNO = E. DEPTNO 12 It is even possible to join a table with itself Example magnetic dip the name calling of all employees together with the name of their manager select E1. ENAME, E2. ENAME from EMP E1, EMP E2 where E1. MGR = E2. EMPNO Explanation The join columns are MGR for the table E1 and EMPNO for the table E2. The equijoin comparison is E1. MGR = E2. EMPNO. 1. 5. 2 Subqueries Up to now we have only concentrated on simple comparison conditions in a where clause, i. e. , we have compared a column with a constant or we have compared two columns.As we have already seen for the insert statement, queries can be used for assignments to columns. A query result can also be used in a condition of a where clause. In such a case the query is called a subquery and the complete select statement is called a nested query. A respective condition in the where clause then can have one of the following forms 1. Set-valued subqueries not in () anyall () An can either be a column or a computed value. 2. Test for (non)existence not exists () In a where clau se conditions using subqueries can be combined indiscriminately by using the logical connectives and and or.Example List the name and salary of employees of the department 20 who are leading a project that started before declination 31, 1990 select ENAME, SAL from EMP where EMPNO in (select PMGR from PROJECT where PSTART 31-DEC-90) and DEPTNO =20 Explanation The subquery retrieves the set of those employees who manage a project that started before December 31, 1990. If the employee working in department 20 is contained in this set (in operator), this tuple belongs to the query result set. Example List all employees who are working in a department located in BOSTON 13 select ? from EMP where DEPTNO in select DEPTNO from DEPT where LOC = BOSTON) The subquery retrieves only one value (the number of the department located in Boston). Thus it is possible to use = instead of in. As long as the result of a subquery is not know in advance, i. e. , whether it is a single value or a set, it is advisable to use the in operator. A subquery may use again a subquery in its where clause. Thus conditions can be nested arbitrarily. An important class of subqueries are those that refer to its surrounding (sub)query and the tables listed in the from clause, respectively. Such type of queries is called cor connect subqueries.Example List all those employees who are working in the same department as their manager (note that components in are optional select ? from EMP E1 where DEPTNO in (select DEPTNO from EMP E where E. EMPNO = E1. MGR) Explanation The subquery in this example is related to its surrounding query since it refers to the column E1. MGR. A tuple is selected from the table EMP (E1) for the query result if the value for the column DEPTNO occurs in the set of values select in the subquery. One can think of the evaluation of this query as follows For each tuple in the table E1, the subquery is evaluated individually.If the condition where DEPTNO in . . . evaluates to true, this tuple is selected. Note that an alias for the table EMP in the subquery is not necessary since columns without a preceding alias listed there always refer to the innermost query and tables. Conditions of the form anyall are used to compare a given with each value selected by . For the clause any, the condition evaluates to true if there exists at least on row selected by the subquery for which the comparison holds. If the subquery yields an empty result set, the condition is not satis? ed. For the clause all, in contrast, the condition evaluates to true if for all rows selected by the subquery the comparison holds. In this case the condition evaluates to true if the subquery does not yield any row or value. Example Retrieve all employees who are working in department 10 and who earn at least as much as any (i. e. , at least one) employee working in department 30 select ? from EMP where SAL = any (select SAL from EMP where DEPTNO = 30) and DEPTNO = 10 14 Note besides in this subquery no aliases are necessary since the columns refer to the innermost from clause.Example List all employees who are not working in department 30 and who earn more than all employees working in department 30 select ? from EMP where SAL all (select SAL from EMP where DEPTNO = 30) and DEPTNO 30 For all and any, the following equivalences hold in ? = any not in ? all or = all often a query result depends on whether certain rows do (not) exist in (other) tables. Such type of queries is formulated using the exists operator. Example List all departments that have no employees select ? from DEPT where not exists (select ? from EMP where DEPTNO = DEPT.DEPTNO) Explanation For each tuple from the table DEPT, the condition is violateed whether there exists a tuple in the table EMP that has the same department number (DEPT. DEPTNO). In case no such tuple exists, the condition is satis? ed for the tuple under consideration and it is selected. If there exists a corresponding tupl e in the table EMP, the tuple is not selected. 1. 5. 3 Operations on termination Sets Sometimes it is useful to combine query results from two or more queries into a single result. SQL supports one-third set operators which have the pattern The set operators are union all returns a table consisting of all rows either coming into court in the result of or in the result of . Duplicates are automatically eliminated unless the clause all is used. intersect returns all rows that appear in both results and . minus returns those rows that appear in the result of but not in the result of . 15 Example Assume that we have a table EMP2 that has the same structure and columns as the table EMP All employee numbers and names from both tables select EMPNO, ENAME from EMP union select EMPNO, ENAME from EMP2 Employees who are listed in both EMP and EMP2 select ? from EMP intersect select ? from EMP2 Employees who are only listed in EMP select ? from EMP minus select ? from EMP2 Each operator r equires that both tables have the same data types for the columns to which the operator is applied. 1. 5. 4 Grouping In Section 1. 2. 4 we have seen how aggregate functions can be used to compute a single value for a column. Often coats require assemblageing rows that have certain properties and then applying an aggregate function on one column for each separate separately. For this, SQL provides the clause group by . This clause appears after the where clause and must refer to columns of tables listed in the from clause. select from here group by having Those rows retrieved by the selected clause that have the same value(s) for are grouped. Aggregations speci? ed in the select clause are then applied to each group separately. It is important that only those columns that appear in the clause can be listed without an aggregate function in the select clause Example For each department, we want to retrieve the minimum and maximum salary. select DEPTNO, min(SAL), max(SAL) from EMP group by DEPTNO Rows from the table EMP are grouped such that all rows in a group have the same department number. The aggregate functions are then applied to each such group.We thus get the following query result 16 DEPTNO 10 20 30 MIN(SAL) 1300 800 950 MAX(SAL) 5000 3000 2850 Rows to form a group can be restricted in the where clause. For example, if we add the condition where JOB = CLERK, only respective rows build a group. The query then would retrieve the minimum and maximum salary of all clerks for each department. Note that is not allowed to specify any other column than DEPTNO without an aggregate function in the select clause since this is the only column listed in the group by clause (is it also easy to see that other columns would not make any sense).Once groups have been formed, certain groups can be eliminated based on their properties, e. g. , if a group contains less than tierce rows. This type of condition is speci? ed using the having clause. As for the select clau se also in a having clause only and aggregations can be used. Example Retrieve the minimum and maximum salary of clerks for each department having more than three clerks. select DEPTNO, min(SAL), max(SAL) from EMP where JOB = CLERK group by DEPTNO having count(? ) 3 Note that it is even possible to specify a subquery in a having clause.In the above query, for example, instead of the constant 3, a subquery can be speci? ed. A query containing a group by clause is neat in the following way 1. Select all rows that satisfy the condition speci? ed in the where clause. 2. From these rows form groups according to the group by clause. 3. thrash about all groups that do not satisfy the condition in the having clause. 4. employ aggregate functions to each group. 5. Retrieve values for the columns and aggregations listed in the select clause. 1. 5. 5 Some Comments on Tables Accessing tables of other usersProvided that a user has the favor to get at tables of other users (see also Section 3), she/he can refer to these tables in her/his queries. Let be a user in the Oracle system and a table of this user. This table can be admissioned by other (privileged) users using the command select ? from . 17 In case that one often refers to tables of other users, it is useful to use a synonym instead of .. In Oracle-SQL a synonym can be created using the command create synonym for . It is then possible to use simply in a from clause. Synonyms can also be created for ones own tables. Adding Comments to De? nitionsFor applications that include numerous tables, it is useful to add comments on table de? nitions or to add comments on columns. A comment on a table can be created using the command comment on table is A comment on a column can be created using the command comment on column . is Comments on tables and columns are stored in the data lexicon. They can be accessed using the data lexicon emplacements exploiter TAB COMMENTS and substance abuser COL COMMENTS (see a lso Section 3). Modifying Table- and Column De? nitions It is possible to modify the structure of a table (the relation schema) even if rows have already been inserted into this table.A column can be added using the alter table command alter table add( default ) If more than only one column should be added at one time, respective add clauses neediness to be separated by colons. A table constraint can be added to a table using alter table add () Note that a column constraint is a table constraint, too. not null and primary key constraints can only be added to a table if none of the speci? ed columns contains a null value. Table de? nitions can be modi? ed in an analogous way. This is useful, e. g. , when the size of strings that can be stored needs to be increased.The syntax of the command for modifying a column is alter table modify( default ) Note In earlier versions of Oracle it is not possible to delete single columns from a table de? nition. A workaround is to create a tempo rary table and to retroflex respective columns and rows into this new table. Furthermore, it is not possible to rename tables or columns. In the most new-made version (9i), using the alter table command, it is possible to rename a table, columns, and constraints. In this version, there also exists a drop column clause as part of the alter table statement. Deleting a TableA table and its rows can be deleted by issuing the command drop table cascade constraints. 18 1. 6 Views In Oracle the SQL command to create a tidy sum (virtual table) has the form create or replace facet () as with check option constraint The optional clause or replace re-creates the view if it already exists. names the columns of the view. If is not speci? ed in the view de? nition, the columns of the view get the same names as the attributes listed in the select statement (if possible). Example The following view contains the name, job title and the annual salary of employees working in the department 20 cre ate view DEPT20 as elect ENAME, JOB, SAL? 12 yearly lucre from EMP where DEPTNO = 20 In the select statement the column alias one-year SALARY is speci? ed for the expression SAL? 12 and this alias is taken by the view. An alternative formulation of the above view de? nition is create view DEPT20 (ENAME, JOB, ANNUAL SALARY) as select ENAME, JOB, SAL ? 12 from EMP where DEPTNO = 20 A view can be used in the same way as a table, that is, rows can be retrieved from a view (also respective rows are not physically stored, but derived on basis of the select statement in the view de? ition), or rows can even be modi? ed. A view is evaluated again each time it is accessed. In Oracle SQL no insert, update, or delete modi? cations on views are allowed that use one of the following clears in the view de? nition Joins Aggregate function such as sum, min, max etc. set-valued subqueries (in, any, all) or test for existence (exists) group by clause or distinct clause In combination with the clause with check option any update or insertion of a row into the view is rejected if the new/modi? ed row does not meet the view de? nition, i. e. these rows would not be selected based on the select statement. A with check option can be named using the constraint clause. A view can be deleted using the command delete . 19 2 SQL*Plus Introduction SQL*Plus is the interactive (low-level) user interface to the Oracle database management system. Typically, SQL*Plus is used to issue ad-hoc queries and to view the query result on the class. Some of the features of SQL*Plus are A built-in command line cut downor can be used to edit (incorrect) SQL queries. Instead of this line editor any editor installed on the computer can be invoked. There are numerous commands to format the output of a query. SQL*Plus provides an online-help. Query results can be stored in ? les which then can be printed. Queries that are frequently issued can be salve to a ? le and invoked later. Queries can be parameterized such that it is possible to invoke a saved query with a parameter. A Minimal User Guide Before you start SQL*Plus make sure that the following UNIX outwit variables are properly set (shell variables can be checked using the env command, e. g. , env grep ORACLE) ORACLE mob, e. g. , ORACLE HOME=/usr/pkg/oracle/734 ORACLE SID, e. , ORACLE SID=prod In order to invoke SQL*Plus from a UNIX shell, the command sqlplus has to be issued. SQL*Plus then displays some information about the product, and prompts you for your user name and password for the Oracle system. gertz(catbert)54 sqlplus SQL*Plus call on 3. 3. 4. 0. 1 Production on Sun Dec 20 191652 1998 right of first publication (c) Oracle Corporation 1979, 1996. All rights reserved. Enter user-name scott Enter password committed to Oracle7 Server Release 7. 3. 4. 0. 1 Production Release With the distributed option PL/SQL Release 2. 3. 4. 0. 0 Production SQL 20SQL is the prompt you get when you are connected to the Oracle database system. In SQL*Plus you can divide a statement into separate lines, each continuing line is indicated by a prompt such 2, 3 etc. An SQL statement must always be terminated by a semicolon (). In addition to the SQL statements discussed in the previous section, SQL*Plus provides some special SQL*Plus commands. These commands need not be terminated by a semicolon. Upper and lower case letters are only important for string comparisons. An SQL query can always be interrupt by using C. To event SQL*Plus you can either type exit or quit.Editor Commands The most recently issued SQL statement is stored in the SQL bu? er, supreme of whether the statement has a correct syntax or not. You can edit the bu? er using the following commands list lists all lines in the SQL bu? er and sets the veritable line (marked with an ? ) to the last line in the bu? er. l sets the actual line to change// replaces the ? rst occurrence of by (for the actual line) append appends to the cur rent line del deletes the current line run executes the current bu? er contents get reads the data from the ? le into the bu? er save writes the current bu? r into the ? le edit invokes an editor and oodles the current bu? er into the editor. After exiting the editor the modi? ed SQL statement is stored in the bu? er and can be executed (command r). The editor can be de? ned in the SQL*Plus shell by typing the command de? ne editor = , where can be any editor such as emacs, vi, joe, or jove. SQL*Plus Help System and Other Useful Commands To get the online help in SQL*Plus just type help , or just help to get information about how to use the help command. In Oracle Version 7 one can get the complete list of possible commands by typing help command. To change the password, in Oracle Version 7 the command alter user identi? ed by is used. In Oracle Version 8 the command passw prompts the user for the old/new password. The command describe lists all columns of the given table t ogether with their data types and information about whether null values are allowed or not. You can invoke a UNIX command from the SQL*Plus shell by using host . For example, host ls -la *. sql lists all SQL ? les in the current directory. 21 You can log your SQL*Plus session and thus queries and query results by using the command spool .All information displayed on screen is then stored in which automatically gets the extension . lst. The command spool o? turns spooling o?. The command copy can be used to copy a complete table. For example, the command copy from scott/tiger create EMPL using select ? from EMP copies the table EMP of the user scott with password tiger into the relation EMPL. The relation EMP is automatically created and its structure is derived based on the attributes listed in the select clause. SQL commands saved in a ? le . sql can be loaded into SQL*Plus and executed using the command . Comments are introduced by the clause remark (only allowed between SQL s tatements), or (allowed within SQL statements). Formatting the Output SQL*Plus provides numerous commands to format query results and to build simple reports. For this, format variables are set and these settings are only valid during the SQL*Plus session. They get lost after terminating SQL*Plus. It is, however, possible to save settings in a ? le named login. sql in your home directory. Each time you invoke SQL*Plus this ? le is automatically loaded. The command column . . . is used to format columns of your query result.The most frequently used options are format A For alphanumeric data, this option sets the length of to . For columns having the data type number, the format command can be used to specify the format before and after the decimal point. For example, format 99,999. 99 speci? es that if a value has more than three digits in front of the decimal point, digits are separated by a colon, and only two digits are displayed after the decimal point. The option heading rel abels and gives it a new heading. null is used to specify the output of null values (typically, null values are not displayed). column clear deletes the format de? nitions for . The command set linesize can be used to set the maximum length of a single line that can be displayed on screen. set pagesize sets the kernel number of lines SQL*Plus displays before printing the column names and headings, respectively, of the selected rows. Several other formatting features can be enabled by setting SQL*Plus variables. The command show all displays all variables and their current values. To set a variable, type set . For example, set time on causes SQL*Plus to display timing statistics for each SQL command that is executed. et pause on makes SQL*Plus wait for you to press Return after the number of lines de? ned by set pagesize has been displayed. is the message SQL*Plus will display at the bottom of the screen as it waits for you to hit Return. 22 3 Oracle Data Dictionary The Oracle da ta dictionary is one of the most important components of the Oracle DBMS. It contains all information about the structures and objects of the database such as tables, columns, users, data ? les etc. The data stored in the data dictionary are also often called metadata.Although it is usually the domain of database administrators (DBAs), the data dictionary is a valuable source of information for end users and developers. The data dictionary consists of two levels the internal level contains all base tables that are used by the various DBMS software components and they are normally not getatable by end users. The external level provides numerous views on these base tables to access information about objects and structures at di? erent levels of detail. 3. 1 Data Dictionary Tables An installation of an Oracle database always includes the asylum of three standard Oracle users SYS This is the owner of all data dictionary tables and views. This user has the highest privileges to manage objects and structures of an Oracle database such as creating new users. SYSTEM is the owner of tables used by di? erent tools such SQL*Forms, SQL*Reports etc. This user has less privileges than SYS. PUBLIC This is a dummy user in an Oracle database. All privileges assigned to this user are automatically assigned to all users cognize in the database. The tables and views provided by the data dictionary contain information about users and their privileges, tables, table columns and their data types, integrity constraints, indexes, statistics about tables and indexes used by the optimizer, privileges give on database objects, storage structures of the database. The SQL command select ? from DICTIONARY lists all tables and views of the data dictionary that are accessible to the user. The selected information includes the name and a short exposition of each table and view. Before issuing this query, check the column de? nitions of DICTIONARY using desc DICTIONARY and set the ap propriate values for column using the format command. The query select ? from TAB etrieves the names of all tables owned by the user who issues this command. The query select ? from COL 23 returns all information about the columns of ones own tables. Each SQL query requires various internal accesses to the tables and views of the data dictionary. Since the data dictionary itself consists of tables, Oracle has to generate numerous SQL statements to check whether the SQL command issued by a user is correct and can be executed. Example The SQL query select ? from EMP where SAL 2000 requires a veri? cation whether (1) the table EMP exists, (2) the user has the privilege to access this table, (3) the column SAL is de? ed for this table etc. 3. 2 Data Dictionary Views The external level of the data dictionary provides users a front end to access information relevant to the users. This level provides numerous views (in Oracle7 slightly 540) that represent (a portion of the) data from the base tables in a unclouded and understandable manner. These views can be used in SQL queries just like normal tables. The views provided by the data dictionary are divided into three groups substance abuser, ALL, and DBA. The group name builds the pre? x for each view name. For some views, there are associated synonyms as given in brackets below. USER Tuples in the USER views contain information about objects owned by the account performing the SQL query (current user) USER TABLES USER USER USER USER USER USER CATALOG COL COMMENTS CONSTRAINTS INDEXES OBJECTS TAB COLUMNS USER USER USER USER TAB COMMENTS TRIGGERS USERS VIEWS all tables with their name, number of columns, storage information, statistical information etc. (TABS) tables, views, and synonyms (CAT) comments on columns constraint de? nitions for tables all information about indexes created for tables (IND) all database objects owned by the user (OBJ) columns of the tables and views owned by the user COLS) comments on tab les and views triggers de? ned by the user information about the current user views de? ned by the user ALL Rows in the ALL views include rows of the USER views and all information about objects that are accessible to the current user. The structure of these views is analogous to the structure of the USER views. 24 ALL CATALOG owner, name and type of all accessible tables, views, and synonyms ALL TABLES owner and name of all accessible tables ALL OBJECTS owner, type, and name of accessible database objects ALL TRIGGERS . . . ALL USERS ALL VIEWS DBA The DBA views cover up information about all database objects, regardless of the owner. Only users with DBA privileges can access these views. DBA DBA DBA DBA DBA TABLES CATALOG OBJECTS DATA FILES USERS tables of all users in the database tables, views, and synonyms de? ned in the database object of all users information about data ? les information about all users known in the database 25 4 Application Programming 4. 1 4. 1. 1 PL/S QL Introduction The development of database applications typically requires language constructs similar to those that can be found in program languages such as C, C++, or Pascal.These constructs are necessary in order to implement complex data structures and algorithms. A major restriction of the database language SQL, however, is that many tasks cannot be gracious by using only the provided language elements. PL/SQL (Procedural Language/SQL) is a adjective extension of Oracle-SQL that o? ers language constructs similar to those in dictatorial program languages. PL/SQL allows users and designers to develop complex database applications that require the usage of control structures and procedural elements such as procedures, functions, and staffs. The basic construct in PL/SQL is a bury.Blocks allow designers to combine logically related (SQL-) statements into units. In a farce, constants and variables can be curb, and variables can be used to store query results. Statements in a PL/SQL resist include SQL statements, control structures ( grommets), condition statements (if-then-else), exception handling, and calls of other PL/SQL pulley blocks. PL/SQL blocks that specify procedures and functions can be grouped into piece of lands. A package is similar to a module and has an interface and an implementation part. Oracle o? ers several prede? ned packages, for example, input/output routines, ? le handling, job scheduling etc. see directory $ORACLE HOME/rdbms/admin). Another important feature of PL/SQL is that it o? ers a mechanism to fulfill query results in a tuple-oriented way, that is, one tuple at a time. For this, pointers are used. A arrow basically is a pointer to a query result and is used to read attribute values of selected tuples into variables. A arrow typically is used in combination with a lace construct such that each tuple read by the arrow can be processed individually. In summary, the major goals of PL/SQL are to increase the ex pressiveness of SQL, process query results in a tuple-oriented way, optimize combined SQL statements, develop modular database application programs, reuse program code, and reduce the cost for maintaining and changing applications. 26 4. 1. 2 Structure of PL/SQL-Blocks PL/SQL is a block-structured language. Each block builds a (named) program unit, and blocks can be nested. Blocks that build a procedure, a function, or a package must be named. A PL/SQL block has an optional declare section, a part containing PL/SQL statements, and an optional exception-handling part. Thus the structure of a PL/SQL looks as follows (brackets innovate optional parts) declare begin exception end The block header speci? s whether the PL/SQL block is a procedure, a function, or a package. If no header is speci? ed, the block is said to be an anonymous PL/SQL block. Each PL/SQL block again builds a PL/SQL statement. Thus blocks can be nested like blocks in conventional programming languages. The scope of state variables (i. e. , the part of the program in which one can refer to the variable) is analogous to the scope of variables in programming languages such as C or Pascal. 4. 1. 3 Declarations Constants, variables, cursors, and exceptions used in a PL/SQL block must be declared in the declare section of that block.Variables and constants can be declared as follows constant not null = Valid data types are SQL data types (see Section 1. 1) and the data type boolean. Boolean data may only be true, false, or null. The not null clause requires that the declared variable must always have a value di? erent from null. is used to initialize a variable. If no expression is speci? ed, the value null is assigned to the variable. The clause constant states that once a value has been assigned to the variable, the value cannot be changed (thus the variable becomes a constant). Example declare hire date job title mp found salary incr begin . . . end date /* implicit initialization wi th null */ varchar2(80) = Salesman boolean /* implicit initialization with null */ constant number(3,2) = 1. 5 /* constant */ 27 Instead of specifying a data type, one can also refer to the data type of a table column (so-called anchored resolve). For example, EMP. Empno%TYPE refers to the data type of the column Empno in the relation EMP. Instead of a single variable, a drop off can be declared that can store a complete tuple from a given table (or query result). For example, the data type DEPT%ROWTYPE speci? s a record suitable to store all attribute values of a complete row from the table DEPT. Such records are typically used in combination with a cursor. A ? eld in a record can be accessed using . , for example, DEPT. Deptno. A cursor declaration speci? es a set of tuples (as a query result) such that the tuples can be processed in a tuple-oriented way (i. e. , one tuple at a time) using the fetch statement. A cursor declaration has the form cursor () is The cursor name is an undeclared identi? er, not the name of any PL/SQL variable. A parameter has the form . Possible parameter types are char, archar2, number, date and boolean as well as corresponding subtypes such as integer. Parameters are used to assign values to the variables that are given in the select statement. Example We want to retrieve the following attribute values from the table EMP in a tupleoriented way the job title and name of those employees who have been hired after a given date, and who have a manager working in a given department. cursor employee cur (start date date, dno number) is select JOB, ENAME from EMP E where HIREDATE start date and exists (select ? from EMP where E. MGR = EMPNO and DEPTNO = dno)If (some) tuples selected by the cursor will be modi? ed in the PL/SQL block, the clause for update() has to be added at the end of the cursor declaration. In this case selected tuples are locked and cannot be accessed by other users until a commit has been issued. Before a declar ed cursor can be used in PL/SQL statements, the cursor must be promiscuoused, and after processing the selected tuples the cursor must be cheeseparingd. We discuss the usage of cursors in more detail below. Exceptions are used to process errors and warnings that occur during the execution of PL/SQL statements in a controlled manner.Some exceptions are internally de? ned, such as ZERO DIVIDE. Other exceptions can be speci? ed by the user at the end of a PL/SQL block. User de? ned exceptions need to be declared using exception. We will discuss exception handling in more detail in Section 4. 1. 5 4. 1. 4 Language Elements In addition to the declaration of variables, constants, and cursors, PL/SQL o? ers various language constructs such as variable assignments, control structures (eyelets, if-then-else), procedure and function calls, etc. However, PL/SQL does not allow commands of the SQL data de? nition language such as the create table statement.For this, PL/SQL provides special pac kages. 28 Furthermore, PL/SQL uses a modi? ed select statement that requires each selected tuple to be assigned to a record (or a list of variables). There are several alternatives in PL/SQL to a assign a value to a variable. The most simple way to assign a value to a variable is declare homecoming integer = 0 begin counter = counter + 1 Values to assign to a variable can also be retrieved from the database using a select statement select into from where It is important to ensure that the select statement retrieves at most one tuple Otherwise it is not possible to assign the attribute values to the speci? ed list of variables and a runtime error occurs. If the select statement retrieves more than one tuple, a cursor must be used instead. Furthermore, the data types of the speci? ed variables must match those of the retrieved attribute values. For most data types, PL/SQL performs an automatic type conversion (e. g. , from integer to real). Instead of a list of single variables, a record can be given after the keyword into. Also in this case, the select statement must retrieve at most one tuple declare mployee rec EMP%ROWTYPE max sal EMP. SAL%TYPE begin select EMPNO, ENAME, JOB, MGR, SAL, COMM, HIREDATE, DEPTNO into employee rec from EMP where EMPNO = 5698 select max(SAL) into max sal from EMP end PL/SQL provides while- loop-the-loops, two types of for-loops, and continuous loops. Latter ones are used in combination with cursors. All types of loops are used to execute a sequence of statements multiple times. The speci? cation of loops occurs in the same way as known from imperative programming languages such as C or Pascal. A while-loop has the pattern while loop end loop 9 A loop can be named. Naming a loop is useful whenever loops are nested and inner loops are accurate unconditionally using the exit statement. Whereas the number of iterations through a while loop is unknown until the loop completes, the number of iterations through the for loop can be speci? ed using two integers. for in reverse .. loop end loop The loop counter is declared implicitly. The scope of the loop counter is only the for loop. It overrides the scope of any variable having the same name outside the loop. Inside the for loop, can be cite like a constant. ay appear in expressions, but one cannot assign a value to . Using the keyword reverse causes the iteration to proceed down from the higher bound to the lower bound. Processing Cursors Before a cursor can be used, it must be opened using the open statement open () The associated select statement then is processed and the cursor references the ? rst selected tuple. Selected tuples then can be processed one tuple at a time using the fetch command fetch into The fetch command assigns the selected attribute values of the current tuple to the list of variables.After the fetch command, the cursor advances to the next tuple in the result set. Note that the variables in the list must have the same data types as the selected values. After all tuples have been processed, the taut command is used to disable the cursor. close The example below illustrates how a cursor is used together with a continuous loop declare cursor emp cur is select ? from EMP emp rec EMP%ROWTYPE emp sal EMP. SAL%TYPE begin open emp cur loop fetch emp cur into emp rec exit when emp cur%NOTFOUND emp sal = emp rec. sal end loop close emp cur end 30Each loop can be completed unconditionally using the exit clause exit when Using exit without a block label causes the completion of the loop that contains the exit statement. A condition can be a simple comparison of values. In most cases, however, the condition refers to a cursor. In the example above, %NOTFOUND is a avouch that evaluates to false if the most recent fetch command has read a tuple. The value of %NOTFOUND is null before the ? rst tuple is fetched. The predicate evaluates to true if the most recent fetch failed to return a tuple, and false otherwis e. FOUND is the logical reversion of %NOTFOUND. Cursor for loops can be used to simplify the usage of a cursor for in () loop end loop A record suitable to store a tuple fetched by the cursor is implicitly declared. Furthermore, this loop implicitly performs a fetch at each iteration as well as an open before the loop is entered and a close after the loop is left. If at an iteration no tuple has been fetched, the loop is automatically terminated without an exit. It is even possible to specify a query instead of in a for loop for in () loop end loop That is, a cursor needs not be speci? d before the loop is entered, but is de? ned in the select statement. Example for sal rec in (select SAL + COMM total from EMP) loop end loop total is an alias for the expression computed in the select statement. Thus, at each iteration only one tuple is fetched. The record sal rec, which is implicitly de? ned, then contains only one entry which can be accessed using sal rec. total. Aliases, of c ourse, are not necessary if only attributes are selected, that is, if the select statement contains no arithmetic operators or aggregate functions. For conditional control, PL/SQL o? rs if-then-else