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Chapter 6 SQL – Data Manipulation Pearson Education © 2014

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Page 1: ch06 - 6th Edition.pptmercury.pr.erau.edu/~siewerts/cs317/documents/Lectures... · 2018-11-14 · HistoryofSQL In late 70s, ORACLE appeared and was probably first commercial RDBMS

Chapter 6

SQL – Data Manipulation

Pearson Education © 2014

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Chapter 6 - Objectives

Purpose and importance of SQL.How to retrieve data from database usingSELECT and:

Use compound WHERE conditions.Sort query results using ORDER BY.Use aggregate functions.Group data using GROUP BY and HAVING.Use subqueries.

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Chapter 6 ‐Objectives

Join tables together.Perform set operations (UNION, INTERSECT,EXCEPT).

How to update database using INSERT,UPDATE, and DELETE.

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Objectives of SQL

Ideally, database language should allow userto:

create the database and relation structures;perform insertion, modification, deletion of datafrom relations;perform simple and complex queries.

Must perform these tasks with minimal usereffort and command structure/syntax mustbe easy to learn.It must be portable.

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Objectives of SQL

SQL is a transform‐oriented language with 2major components:

A DDL for defining database structure.A DML for retrieving and updating data.

Until SQL:1999, SQL did not contain flow ofcontrol commands. These had to beimplemented using a programming or job‐control language, or interactively by thedecisions of user.

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Objectives of SQL

SQL is relatively easy to learn:it is non‐procedural ‐ you specify whatinformation you require, rather than how to getit;it is essentially free‐format.

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Objectives of SQL

Consists of standard English words:

1) CREATE TABLE Staff(staffNo VARCHAR(5),lName VARCHAR(15),salary DECIMAL(7,2));

2) INSERT INTO Staff VALUES (‘SG16’, ‘Brown’, 8300);3) SELECT staffNo, lName, salaryFROM StaffWHERE salary > 10000;

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Objectives of SQL

Can be used by range of users including DBAs,management, application developers, andother types of end users.

An ISO standard now exists for SQL, making itboth the formal and de facto standardlanguage for relational databases.

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History of SQL

In 1974, D. Chamberlin (IBM San JoseLaboratory) defined language called‘Structured English Query Language’(SEQUEL).A revised version, SEQUEL/2, was defined in1976 but name was subsequently changed toSQL for legal reasons.

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History of SQL

Still pronounced ‘see‐quel’, though officialpronunciation is ‘S‐Q‐L’.IBM subsequently produced a prototypeDBMS called System R, based on SEQUEL/2.Roots of SQL, however, are in SQUARE(Specifying Queries as Relational Expressions),which predates System R project.

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History of SQLIn late 70s, ORACLE appeared and was probably firstcommercial RDBMS based on SQL.In 1987, ANSI and ISO published an initial standard forSQL.In 1989, ISO published an addendum that defined an‘Integrity Enhancement Feature’.In 1992, first major revision to ISO standard occurred,referred to as SQL2 or SQL/92.In 1999, SQL:1999 was released with support forobject‐oriented data management.In late 2003, SQL:2003 was released.In summer 2008, SQL:2008 was released.In late 2011, SQL:2011 was released.

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Importanceof SQL

SQL has become part of applicationarchitectures such as IBM’s SystemsApplication Architecture.It is strategic choice of many large andinfluential organizations (e.g. X/OPEN).SQL is Federal Information ProcessingStandard (FIPS) to which conformance isrequired for all sales of databases to AmericanGovernment.

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Importanceof SQL

SQL is used in other standards and eveninfluences development of other standards asa definitional tool. Examples include:

ISO’s Information Resource Directory System(IRDS) StandardRemote Data Access (RDA) Standard.

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Writing SQLCommands

SQL statement consists of reserved words anduser‐defined words.

– Reserved words are a fixed part of SQL andmust be spelt exactly as required and cannotbe split across lines.

– User‐defined words are made up by user andrepresent names of various database objectssuch as relations, columns, views.

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Writing SQLCommands

Most components of an SQL statement arecase insensitive, except for literal characterdata.More readable with indentation andlineation:

Each clause should begin on a new line.Start of a clause should line up with start of otherclauses.If clause has several parts, should each appear ona separate line and be indented under start ofclause.

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Writing SQLCommands

Use extended form of BNF notation:

‐ Upper‐case letters represent reserved words.‐ Lower‐case letters represent user‐defined words.‐ | indicates a choice among alternatives.‐ Curly braces indicate a required element.‐ Square brackets indicate an optional element.‐ … indicates optional repetition (0 or more).

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Literals

Literals are constants used in SQL statements.

All non‐numeric literals must be enclosed insingle quotes (e.g. ‘London’).

All numeric literals must not be enclosed inquotes (e.g. 650.00).

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SELECTStatement

SELECT [DISTINCT | ALL]{* | [columnExpression [AS newName]] [,...] }

FROM TableName [alias] [, ...][WHERE condition][GROUP BY columnList] [HAVING condition][ORDER BY columnList]

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SELECTStatement

FROM Specifies table(s) to be used.WHERE Filters rows.GROUP BY Forms groups of rows with same

column value.HAVING Filters groups subject to some

condition.SELECT Specifies which columns are to

appear in output.ORDER BY Specifies the order of the output.

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SELECTStatement

Order of the clauses cannot be changed.

Only SELECT and FROM are mandatory.

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Example 6.1 All Columns, All Rows

List full details of all staff.

SELECT staffNo, fName, lName, address,position, sex, DOB, salary, branchNo

FROM Staff;

• Can use * as an abbreviation for ‘all columns’:

SELECT *FROM Staff;

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Example 6.1 All Columns, All Rows

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Example 6.2 Specific Columns, All Rows

Produce a list of salaries for all staff, showingonly staff number, first and last names, andsalary.

SELECT staffNo, fName, lName, salaryFROM Staff;

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Example 6.2 Specific Columns, All Rows

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Example 6.3 UseofDISTINCT

List the property numbers of all propertiesthat have been viewed.

SELECT propertyNoFROM Viewing;

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Example 6.3  Use of DISTINCT

Use DISTINCT to eliminate duplicates:

SELECT DISTINCT propertyNoFROM Viewing;

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Example 6.4 Calculated Fields

Produce list of monthly salaries for all staff,showing staff number, first/last name, andsalary.

SELECT staffNo, fName, lName, salary/12FROM Staff;

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Example 6.4 Calculated Fields

To name column, use AS clause:

SELECT staffNo, fName, lName, salary/12 AS monthlySalary

FROM Staff;

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Example 6.5 Comparison SearchCondition

List all staff with a salary greater than 10,000.

SELECT staffNo, fName, lName, position, salaryFROM StaffWHERE salary > 10000;

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Example 6.6 Compound Comparison SearchCondition

List addresses of all branch offices in Londonor Glasgow.

SELECT *FROM BranchWHERE city = ‘London’ OR city = ‘Glasgow’;

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Example 6.7 Range SearchCondition

List all staff with a salary between 20,000 and30,000.

SELECT staffNo, fName, lName, position, salaryFROM StaffWHERE salary BETWEEN 20000 AND 30000;

BETWEEN test includes the endpoints ofrange.

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Example 6.7 Range SearchCondition

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Example 6.7 Range SearchCondition

Also a negated version NOT BETWEEN.BETWEEN does not add much to SQL’sexpressive power. Could also write:

SELECT staffNo, fName, lName, position, salaryFROM StaffWHERE salary>=20000 AND salary <= 30000;

Useful, though, for a range of values.

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Example 6.8 SetMembership

List all managers and supervisors.SELECT staffNo, fName, lName, positionFROM StaffWHERE position IN (‘Manager’, ‘Supervisor’);

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Example 6.8 SetMembership

There is a negated version (NOT IN).IN does not add much to SQL’s expressive

power. Could have expressed this as:

SELECT staffNo, fName, lName, positionFROM StaffWHERE position=‘Manager’ OR

position=‘Supervisor’;

• IN is more efficient when set contains manyvalues.

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Example 6.9 PatternMatching

Find all owners with the string ‘Glasgow’ intheir address.

SELECT ownerNo, fName, lName, address, telNoFROM PrivateOwnerWHERE address LIKE ‘%Glasgow%’;

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Example 6.9 PatternMatching

SQL has two special pattern matchingsymbols:

%: sequence of zero or more characters;_ (underscore): any single character.

LIKE ‘%Glasgow%’ means a sequence ofcharacters of any length containing ‘Glasgow’.

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Example 6.10 NULL SearchCondition

List details of all viewings on property PG4where a comment has not been supplied.

• There are 2 viewings for property PG4, onewith and one without a comment.

• Have to test for null explicitly using specialkeyword IS NULL:

SELECT clientNo, viewDateFROM ViewingWHERE propertyNo = ‘PG4’ AND

comment IS NULL;

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Example 6.10 NULL SearchCondition

Negated version (IS NOT NULL) cantest for non‐null values.

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Example 6.11 Single ColumnOrdering

List salaries for all staff, arranged indescending order of salary.

SELECT staffNo, fName, lName, salaryFROM StaffORDER BY salary DESC;

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Example 6.11 Single ColumnOrdering

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Example 6.12 Multiple ColumnOrdering

Produce abbreviated list of properties in orderof property type.

SELECT propertyNo, type, rooms, rentFROM PropertyForRentORDER BY type;

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Example 6.12  Multiple Column Ordering

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Example 6.12  Multiple Column Ordering

Four flats in this list ‐ as no minor sort keyspecified, system arranges these rows in anyorder it chooses.To arrange in order of rent, specify minororder:

SELECT propertyNo, type, rooms, rentFROM PropertyForRentORDER BY type, rent DESC;

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Example 6.12 Multiple ColumnOrdering

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SELECTStatement ‐Aggregates

ISO standard defines five aggregate functions:

COUNT returns number of values in specifiedcolumn.

SUM returns sum of values in specified column.

AVG returns average of values in specifiedcolumn.

MIN returns smallest value in specified column.

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SELECTStatement ‐Aggregates

Each operates on a single column of a tableand returns a single value.

COUNT, MIN, and MAX apply to numeric andnon‐numeric fields, but SUM and AVG maybe used on numeric fields only.

Apart from COUNT(*), each functioneliminates nulls first and operates only onremaining non‐null values.

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SELECTStatement ‐Aggregates

COUNT(*) counts all rows of a table,regardless of whether nulls or duplicatevalues occur.Can use DISTINCT before column name toeliminate duplicates.DISTINCT has no effect with MIN/MAX, butmay have with SUM/AVG.

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SELECTStatement ‐Aggregates

Aggregate functions can be used only inSELECT list and in HAVING clause.

If SELECT list includes an aggregate functionand there is no GROUP BY clause, SELECT listcannot reference a column out with anaggregate function. For example, thefollowing is illegal:

SELECT staffNo, COUNT(salary)FROM Staff;

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Example 6.13 Useof COUNT(*)

How many properties cost more than £350per month to rent?

SELECT COUNT(*) AS myCountFROM PropertyForRentWHERE rent > 350;

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Example 6.14 Useof COUNT(DISTINCT)

How many different properties viewed in May‘13?

SELECT COUNT(DISTINCT propertyNo) AS myCountFROM ViewingWHERE viewDate BETWEEN ‘1‐May‐13’

AND ‘31‐May‐13’;

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Example 6.15 Useof COUNTandSUMFind number of Managers and sum of theirsalaries.

SELECT COUNT(staffNo) AS myCount,SUM(salary) AS mySum

FROM StaffWHERE position = ‘Manager’;

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Example 6.16 UseofMIN,MAX,AVG

Find minimum, maximum, and averagestaff salary.

SELECT MIN(salary) AS myMin,MAX(salary) AS myMax,AVG(salary) AS myAvg

FROM Staff;

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SELECT Statement ‐Grouping

Use GROUP BY clause to get sub‐totals.SELECT and GROUP BY closely integrated:each item in SELECT list must be single‐valued per group, and SELECT clause mayonly contain:

column namesaggregate functionsconstantsexpression involving combinations of the above.

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SELECTStatement ‐Grouping

All column names in SELECT list must appearin GROUP BY clause unless name is used onlyin an aggregate function.

If WHERE is used with GROUP BY, WHERE isapplied first, then groups are formed fromremaining rows satisfying predicate.

ISO considers two nulls to be equal forpurposes of GROUP BY.

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Example 6.17  Use of GROUP BY

Find number of staff in each branch andtheir total salaries.

SELECT branchNo,COUNT(staffNo) AS myCount,SUM(salary) AS mySum

FROM StaffGROUP BY branchNoORDER BY branchNo;

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Example 6.17  Use of GROUP BY

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Restricted Groupings –HAVING clause

HAVING clause is designed for use with GROUP BY to restrict groups that appear in final result table. 

Similar to WHERE, but WHERE filtersindividual rows whereas HAVING filtersgroups.

Column names in HAVING clause must alsoappear in the GROUP BY list or be containedwithin an aggregate function.

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Example 6.18  Use of HAVING

For each branch with more than 1 memberof staff, find number of staff in each branchand sum of their salaries.

SELECT branchNo,COUNT(staffNo) AS myCount,SUM(salary) AS mySum

FROM StaffGROUP BY branchNoHAVING COUNT(staffNo) > 1ORDER BY branchNo;

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Example 6.18  Use of HAVING

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Subqueries

Some SQL statements can have a SELECTembedded within them.

A subselect can be used in WHERE andHAVING clauses of an outer SELECT, where itis called a subquery or nested query.

Subselects may also appear in INSERT,UPDATE, and DELETE statements.

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Example 6.19  Subquery with Equality

List staff who work in branch at ‘163 Main St’.

SELECT staffNo, fName, lName, positionFROM StaffWHERE branchNo =

(SELECT branchNoFROM BranchWHERE street = ‘163 Main St’);

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Example 6.19  Subquery with Equality

Inner SELECT finds branch number for branchat ‘163 Main St’ (‘B003’).Outer SELECT then retrieves details of all staffwho work at this branch.Outer SELECT then becomes:

SELECT staffNo, fName, lName, positionFROM StaffWHERE branchNo = ‘B003’;

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Example 6.19  Subquery with Equality

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Example 6.20  Subquery with AggregateList all staff whose salary is greater than the averagesalary, and show by how much.

SELECT staffNo, fName, lName, position,salary – (SELECT AVG(salary) FROM Staff) As SalDiffFROM StaffWHERE salary >

(SELECT AVG(salary)FROM Staff);

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Example 6.20  Subquery with Aggregate

Cannot write ‘WHERE salary > AVG(salary)’Instead, use subquery to find average salary(17000), and then use outer SELECT to findthose staff with salary greater than this:

SELECT staffNo, fName, lName, position,salary – 17000 As salDiff

FROM StaffWHERE salary > 17000;

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Example 6.20  Subquery with Aggregate

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Subquery Rules

ORDER BY clause may not be used in asubquery (although it may be used inoutermost SELECT).

Subquery SELECT list must consist of a singlecolumn name or expression, except forsubqueries that use EXISTS.

By default, column names refer to tablename in FROM clause of subquery. Can referto a table in FROM using an alias.

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Subquery Rules

When subquery is an operand in acomparison, subquery must appear on right‐hand side.

A subquery may not be used as an operandin an expression.

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Example 6.21  Nested subquery: use of IN

List properties handled by staff at ‘163 Main St’.SELECT propertyNo, street, city, postcode, type, rooms, rentFROM PropertyForRentWHERE staffNo IN

(SELECT staffNoFROM StaffWHERE branchNo =

(SELECT branchNoFROM BranchWHERE street = ‘163 Main St’));

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Example 6.21  Nested subquery: use of IN

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ANY and ALL

ANY and ALL may be used with subqueriesthat produce a single column of numbers.With ALL, condition will only be true if it issatisfied by all values produced by subquery.With ANY, condition will be true if it issatisfied by any values produced bysubquery.If subquery is empty, ALL returns true, ANYreturns false.SOME may be used in place of ANY.

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Example 6.22  Use of ANY/SOME

Find staff whose salary is larger than salary ofat least one member of staff at branch B003.

SELECT staffNo, fName, lName, position, salaryFROM StaffWHERE salary > SOME

(SELECT salaryFROM StaffWHERE branchNo = ‘B003’);

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Example 6.22  Use of ANY/SOME

Inner query produces set {12000, 18000,24000} and outer query selects those staffwhose salaries are greater than any of thevalues in this set.

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Example 6.23  Use of ALL

Find staff whose salary is larger than salaryof every member of staff at branch B003.

SELECT staffNo, fName, lName, position, salaryFROM StaffWHERE salary > ALL

(SELECT salaryFROM StaffWHERE branchNo = ‘B003’);

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Example 6.23  Use of ALL

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Multi‐Table Queries

Can use subqueries provided result columnscome from same table.

If result columns come from more than onetable must use a join.

To perform join, include more than one tablein FROM clause.

Use comma as separator and typically includeWHERE clause to specify join column(s).

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Multi‐TableQueries

Also possible to use an alias for a tablenamed in FROM clause.

Alias is separated from table name with aspace.

Alias can be used to qualify column nameswhen there is ambiguity.

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Example 6.24  Simple Join

List names of all clients who have viewed aproperty along with any comment supplied.

SELECT c.clientNo, fName, lName,propertyNo, comment

FROM Client c, Viewing vWHERE c.clientNo = v.clientNo;

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Example 6.24  Simple Join

Only those rows from both tables that haveidentical values in the clientNo columns(c.clientNo = v.clientNo) are included in result.

Equivalent to equi‐join in relational algebra.

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Alternative JOIN Constructs

SQL provides alternative ways to specify joins:

FROM Client c JOIN Viewing v ON c.clientNo = v.clientNoFROM Client JOIN Viewing USING clientNoFROM Client NATURAL JOIN Viewing

In each case, FROM replaces original FROMand WHERE. However, first produces tablewith two identical clientNo columns.

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Example 6.25  Sorting a join

For each branch, list numbers and names ofstaff who manage properties, and propertiesthey manage.

SELECT s.branchNo, s.staffNo, fName, lName,propertyNo

FROM Staff s, PropertyForRent pWHERE s.staffNo = p.staffNoORDER BY s.branchNo, s.staffNo, propertyNo;

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Example 6.25  Sorting a join

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Example 6.26  Three Table Join

For each branch, list staff who manageproperties, including city in which branch islocated and properties they manage.

SELECT b.branchNo, b.city, s.staffNo, fName, lName,propertyNo

FROM Branch b, Staff s, PropertyForRent pWHERE b.branchNo = s.branchNo AND

s.staffNo = p.staffNoORDER BY b.branchNo, s.staffNo, propertyNo;

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Example 6.26  Three Table Join

Alternative formulation for FROM and WHERE:

FROM (Branch b JOIN Staff s USING branchNo) ASbs JOIN PropertyForRent p USING staffNo

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Example 6.27  Multiple Grouping Columns

Find number of properties handled by eachstaff member.

SELECT s.branchNo, s.staffNo, COUNT(*) AS myCountFROM Staff s, PropertyForRent pWHERE s.staffNo = p.staffNoGROUP BY s.branchNo, s.staffNoORDER BY s.branchNo, s.staffNo;

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Example 6.27  Multiple Grouping Columns

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Computing a JoinProcedure for generating results of a join are:

1. Form Cartesian product of the tables named inFROM clause.

2. If there is a WHERE clause, apply the searchcondition to each row of the product table,retaining those rows that satisfy the condition.

3. For each remaining row, determine value ofeach item in SELECT list to produce a single rowin result table.

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Computing a Join

4. If DISTINCT has been specified, eliminate anyduplicate rows from the result table.

5. If there is an ORDER BY clause, sort result tableas required.

SQL provides special format of SELECT forCartesian product:

SELECT [DISTINCT | ALL] {* | columnList}FROM Table1 CROSS JOIN Table2

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Outer JoinsIf one row of a joined table is unmatched,row is omitted from result table.Outer join operations retain rows that do notsatisfy the join condition.Consider following tables:

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Outer Joins

The (inner) join of these two tables:SELECT b.*, p.*FROM Branch1 b, PropertyForRent1 pWHERE b.bCity = p.pCity;

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Outer Joins

Result table has two rows where cities aresame.There are no rows corresponding tobranches in Bristol and Aberdeen.To include unmatched rows in result table,use an Outer join.

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Example 6.28  Left Outer Join

List branches and properties that are in samecity along with any unmatched branches.

SELECT b.*, p.*FROM Branch1 b LEFT JOIN

PropertyForRent1 p ON b.bCity = p.pCity;

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Example 6.28  Left Outer Join

Includes those rows of first (left) tableunmatched with rows from second (right)table.Columns from second table are filled withNULLs.

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Example 6.29  Right Outer Join

List branches and properties in same city andany unmatched properties.

SELECT b.*, p.*FROM Branch1 b RIGHT JOIN

PropertyForRent1 p ON b.bCity = p.pCity;

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Example 6.29  Right Outer Join

Right Outer join includes those rows ofsecond (right) table that are unmatched withrows from first (left) table.Columns from first table are filled withNULLs.

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Example 6.30  Full Outer Join

List branches and properties in same city andany unmatched branches or properties.

SELECT b.*, p.*FROM Branch1 b FULL JOIN

PropertyForRent1 p ON b.bCity = p.pCity;

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Example 6.30  Full Outer Join

Includes rows that are unmatched in bothtables.Unmatched columns are filled with NULLs.

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EXISTS andNOTEXISTS

EXISTS and NOT EXISTS are for use only withsubqueries.

Produce a simple true/false result.

True if and only if there exists at least onerow in result table returned by subquery.

False if subquery returns an empty resulttable.

NOT EXISTS is the opposite of EXISTS.

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EXISTS andNOTEXISTS

As (NOT) EXISTS check only for existence ornon‐existence of rows in subquery result table,subquery can contain any number of columns.

Common for subqueries following (NOT)EXISTS to be of form:

(SELECT * ...)

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Example 6.31 Query using EXISTS

Find all staff who work in a London branch.

SELECT staffNo, fName, lName, positionFROM Staff sWHERE EXISTS

(SELECT *FROM Branch bWHERE s.branchNo = b.branchNo AND

city = ‘London’);

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Example 6.31 Query using EXISTS

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Example 6.31 Query using EXISTS

Note, search condition s.branchNo =b.branchNo is necessary to consider correctbranch record for each member of staff.If omitted, would get all staff records listedout because subquery:SELECT * FROM Branch WHERE city=‘London’

would always be true and query would be:SELECT staffNo, fName, lName, position FROM StaffWHERE true;

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Example 6.31 Query using EXISTS

Could also write this query using joinconstruct:

SELECT staffNo, fName, lName, positionFROM Staff s, Branch bWHERE s.branchNo = b.branchNo AND

city = ‘London’;

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Union, Intersect, andDifference (Except)Can use normal set operations of Union,Intersection, and Difference to combineresults of two or more queries into a singleresult table.Union of two tables, A and B, is tablecontaining all rows in either A or B or both.Intersection is table containing all rowscommon to both A and B.Difference is table containing all rows in A butnot in B.Two tables must be union compatible.

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Union, Intersect, andDifference (Except)

Format of set operator clause in each case is:op [ALL] [CORRESPONDING [BY {column1 [, ...]}]]

If CORRESPONDING BY specified, set operationperformed on the named column(s).If CORRESPONDING specified but not BYclause, operation performed on commoncolumns.If ALL specified, result can include duplicaterows.

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Union, Intersect, andDifference (Except)

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Example 6.32 UseofUNION

List all cities where there is either a branchoffice or a property.

(SELECT cityFROM BranchWHERE city IS NOT NULL) UNION(SELECT cityFROM PropertyForRentWHERE city IS NOT NULL);

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Example 6.32 UseofUNION

Or

(SELECT *FROM BranchWHERE city IS NOT NULL)UNION CORRESPONDING BY city(SELECT *FROM PropertyForRentWHERE city IS NOT NULL);

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Example 6.32 UseofUNION

Produces result tables from both queries andmerges both tables together.

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Example 6.33 Useof INTERSECT

List all cities where there is both a branchoffice and a property.

(SELECT city FROM Branch)INTERSECT(SELECT city FROM PropertyForRent);

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Example 6.33 Useof INTERSECT

Or(SELECT * FROM Branch)INTERSECT CORRESPONDING BY city(SELECT * FROM PropertyForRent);

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Example 6.33 Useof INTERSECT

Could rewrite this query without INTERSECToperator:

SELECT b.cityFROM Branch b PropertyForRent pWHERE b.city = p.city;

Or:SELECT DISTINCT city FROM Branch bWHERE EXISTS

(SELECT * FROM PropertyForRent pWHERE p.city = b.city);

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Example 6.34 Useof EXCEPT

List of all cities where there is a branch officebut no properties.

(SELECT city FROM Branch)EXCEPT(SELECT city FROM PropertyForRent);

Or

(SELECT * FROM Branch)EXCEPT CORRESPONDING BY city(SELECT * FROM PropertyForRent);

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Example 6.34 Useof EXCEPT

Could rewrite this query without EXCEPT:SELECT DISTINCT city FROM BranchWHERE city NOT IN

(SELECT city FROM PropertyForRent);

OrSELECT DISTINCT city FROM Branch bWHERE NOT EXISTS

(SELECT * FROM PropertyForRent pWHERE p.city = b.city);

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INSERT

INSERT INTO TableName [ (columnList) ]VALUES (dataValueList)

• columnList is optional; if omitted, SQLassumes a list of all columns in their originalCREATE TABLE order.

• Any columns omitted must have beendeclared as NULL when table was created,unless DEFAULT was specified when creatingcolumn.

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INSERT

dataValueList must match columnList asfollows:

number of items in each list must be same;must be direct correspondence in position ofitems in two lists;data type of each item in dataValueList mustbe compatible with data type of correspondingcolumn.

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Example 6.35 INSERT…VALUES

Insert a new row into Staff table supplyingdata for all columns.

INSERT INTO StaffVALUES (‘SG16’, ‘Alan’, ‘Brown’, ‘Assistant’, ‘M’,

Date‘1957‐05‐25’, 8300, ‘B003’);

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Example 6.36 INSERTusingDefaults

Insert a new row into Staff table supplyingdata for all mandatory columns.

INSERT INTO Staff (staffNo, fName, lName,position, salary, branchNo)

VALUES (‘SG44’, ‘Anne’, ‘Jones’,‘Assistant’, 8100, ‘B003’);

OrINSERT INTO StaffVALUES (‘SG44’, ‘Anne’, ‘Jones’, ‘Assistant’, NULL,

NULL, 8100, ‘B003’);

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INSERT…SELECT

Second form of INSERT allows multiple rowsto be copied from one or more tables toanother:

INSERT INTO TableName [ (columnList) ]SELECT ...

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Example 6.37 INSERT…SELECT

Assume there is a table StaffPropCount thatcontains names of staff and number ofproperties they manage:

StaffPropCount(staffNo, fName, lName, propCnt)

Populate StaffPropCount using Staff andPropertyForRent tables.

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Example 6.37 INSERT…SELECT

INSERT INTO StaffPropCount(SELECT s.staffNo, fName, lName, COUNT(*)FROM Staff s, PropertyForRent pWHERE s.staffNo = p.staffNoGROUP BY s.staffNo, fName, lName)UNION(SELECT staffNo, fName, lName, 0FROM StaffWHERE staffNo NOT IN

(SELECT DISTINCT staffNoFROM PropertyForRent));

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Example 6.37 INSERT…SELECT

If second part of UNION is omitted, excludes those staff who currently do not manage any properties. 

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UPDATE

UPDATE TableNameSET columnName1 = dataValue1

[, columnName2 = dataValue2...][WHERE searchCondition]

• TableName can be name of a base table or anupdatable view.

• SET clause specifies names of one or morecolumns that are to be updated.

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UPDATE

WHERE clause is optional:if omitted, named columns are updated for allrows in table;if specified, only those rows that satisfysearchCondition are updated.

New dataValue(s) must be compatible withdata type for corresponding column.

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Example 6.38/39 UPDATEAll Rows

Give all staff a 3% pay increase.

UPDATE StaffSET salary = salary*1.03;

Give all Managers a 5% pay increase.

UPDATE StaffSET salary = salary*1.05WHERE position = ‘Manager’;

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Example 6.40 UPDATEMultiple Columns

Promote David Ford (staffNo=‘SG14’) toManager and change his salary to £18,000.

UPDATE StaffSET position = ‘Manager’, salary = 18000WHERE staffNo = ‘SG14’;

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DELETE

DELETE FROM TableName[WHERE searchCondition]

• TableName can be name of a base table or anupdatable view.

• searchCondition is optional; if omitted, allrows are deleted from table. This does notdelete table. If search_condition is specified,only those rows that satisfy condition aredeleted.

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Example 6.41/42 DELETE Specific Rows

Delete all viewings that relate to property PG4.

DELETE FROM ViewingWHERE propertyNo = ‘PG4’;

Delete all records from the Viewing table.

DELETE FROM Viewing;

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