Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke1 SQL: Queries, Programming, Triggers Chapter 5 Modified by Donghui Zhang

Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1

SQL: Queries, Programming, Triggers

Chapter 5

Modified by Donghui Zhang


Basic SQL Query

relation-list A list of relation names (possibly with a range-variable after each name).

target-list A list of attributes of relations in relation-list

qualification Comparisons (Attr op const or Attr1 op Attr2, where op is one of ) combined using AND, OR and NOT.

DISTINCT is an optional keyword indicating that the answer should not contain duplicates. Default is that duplicates are not eliminated!

SELECT [DISTINCT] target-listFROM relation-listWHERE qualification

, , , , ,


Conceptual Evaluation Strategy

Semantics of an SQL query defined in terms of the following conceptual evaluation strategy: Compute the cross-product of relation-list. Discard resulting tuples if they fail qualifications. Delete attributes that are not in target-list. If DISTINCT is specified, eliminate duplicate rows.

This strategy is probably the least efficient way to compute a query! An optimizer will find more efficient strategies to compute the same answers.


A Note on Range Variables

Really needed only if the same relation appears twice in the FROM clause. The previous query can also be written as:

SELECT S.snameFROM Sailors S, Reserves RWHERE S.sid=R.sid AND bid=103

SELECT snameFROM Sailors, Reserves WHERE Sailors.sid=Reserves.sid AND bid=103

It is good style,however, to userange variablesalways!OR


Expressions and Strings

Illustrates use of arithmetic expressions and string pattern matching: Find triples (of ages of sailors and two fields defined by expressions) for sailors whose names begin and end with B and contain at least three characters.

AS and = are two ways to name fields in result. LIKE is used for string matching. `_’ stands for any

one character and `%’ stands for 0 or more arbitrary characters.

SELECT S.age, age1=S.age-5, 2*S.age AS age2FROM Sailors SWHERE S.sname LIKE ‘B_%B’


Set Operations in SQL

UNION: s1 UNION s2, result rows either in s1 or s2.

INTERSECT: s1 INTERSECT s2, result rows in s1 and s2.

EXCEPT: s1 EXCEPT s2, result rows in s1 but not in s2. (Some system recognize ‘MINUS’ for EXECPT)

Also, IN, ANY, ALL, EXISTS, to be covered in ‘Nested Queries’.


Nested Queries

A very powerful feature of SQL: a WHERE clause can itself contain an SQL query! (Actually, so can FROM and HAVING clauses.)

To find sailors who’ve not reserved #103, use NOT IN. To understand semantics of nested queries, think of a

nested loops evaluation: For each Sailors tuple, check the qualification by computing the subquery.

SELECT S.snameFROM Sailors SWHERE S.sid IN (SELECT R.sid FROM Reserves R WHERE R.bid=103)

Find names of sailors who’ve reserved boat #103:


Nested Queries with Correlation

EXISTS is another set comparison operator, like IN. If UNIQUE is used, and * is replaced by R.bid, finds sailors

with at most one reservation for boat #103. (UNIQUE checks for duplicate tuples; * denotes all attributes. Why do we have to replace * by R.bid?)

Illustrates why, in general, subquery must be re-computed for each Sailors tuple.

SELECT S.snameFROM Sailors SWHERE EXISTS (SELECT * FROM Reserves R WHERE R.bid=103 AND S.sid=R.sid)

Find names of sailors who’ve reserved boat #103:


More on Set-Comparison Operators

We’ve already seen IN, EXISTS and UNIQUE. Can also use NOT IN, NOT EXISTS and NOT UNIQUE.

Also available: op ANY, op ALL, op IN Find sailors whose rating is greater than that of

some sailor called Horatio:

, , , , ,

SELECT *FROM Sailors SWHERE S.rating > ANY (SELECT S2.rating FROM Sailors S2 WHERE S2.sname=‘Horatio’)


Division in SQL

Let’s do it the hard way, without EXCEPT:

SELECT S.snameFROM Sailors SWHERE NOT EXISTS ((SELECT B.bid FROM Boats B) EXCEPT (SELECT R.bid FROM Reserves R WHERE R.sid=S.sid))

SELECT S.snameFROM Sailors SWHERE NOT EXISTS (SELECT B.bid FROM Boats B WHERE NOT EXISTS (SELECT R.bid FROM Reserves R WHERE R.bid=B.bid AND R.sid=S.sid))

Sailors S such that ...

there is no boat B without ...

a Reserves tuple showing S reserved B

Find sailors who’ve reserved all boats.

(1)

(2)


Aggregate Operators

Significant extension of relational algebra.

COUNT (*)COUNT ( [DISTINCT] A)SUM ( [DISTINCT] A)AVG ( [DISTINCT] A)MAX (A)MIN (A)

SELECT AVG (S.age)FROM Sailors SWHERE S.rating=10

SELECT COUNT (*)FROM Sailors S

SELECT AVG ( DISTINCT S.age)FROM Sailors SWHERE S.rating=10

SELECT S.snameFROM Sailors SWHERE S.rating= (SELECT MAX(S2.rating) FROM Sailors S2)

single column

SELECT COUNT (DISTINCT S.rating)FROM Sailors SWHERE S.sname=‘Bob’


Queries With GROUP BY and HAVING

The target-list contains (i) attribute names (ii) terms with aggregate operations (e.g., MIN (S.age)). The attribute list (i) must be a subset of grouping-list.

Intuitively, each answer tuple corresponds to a group, and these attributes must have a single value per group. (A group is a set of tuples that have the same value for all attributes in grouping-list.)

SELECT [DISTINCT] target-listFROM relation-listWHERE qualificationGROUP BY grouping-listHAVING group-qualification


Conceptual Evaluation The cross-product of relation-list is computed, tuples

that fail qualification are discarded, ùnnecessary’ fields are deleted, and the remaining tuples are partitioned into groups by the value of attributes in grouping-list.

The group-qualification is then applied to eliminate some groups. Expressions in group-qualification must have a single value per group! In effect, an attribute in group-qualification that is not an

argument of an aggregate op also appears in grouping-list. (SQL does not exploit primary key semantics here!)

One answer tuple is generated per qualifying group.


Find the age of the youngest sailor with age 18, for each rating with at least 2 such sailors

Only S.rating and S.age are mentioned in the SELECT, GROUP BY or HAVING clauses; other attributes ùnnecessary’.

2nd column of result is unnamed. (Use AS to name it.)

SELECT S.rating, MIN (S.age)FROM Sailors SWHERE S.age >= 18GROUP BY S.ratingHAVING COUNT (*) >= 2

sid sname rating age22 dustin 7 45.031 lubber 8 55.571 zorba 10 16.064 horatio 7 35.029 brutus 1 33.058 rusty 10 35.0

rating age1 33.07 45.07 35.08 55.510 35.0

rating7 35.0

Answer relation


Find the age of the youngest sailor with age 18, for each rating with at least 2 such sailors

SELECT T.rating, T.minimumFROM (SELECT S.rating, MIN(S.age) AS minimum, COUNT (*) AS ratingcount FROM Sailors S WHERE S.age > 18 GROUP BY S.rating) AS TWHERE T.ratingcount >= 2

SELECT S.rating, MIN (S.age)FROM Sailors SWHERE S.age >= 18GROUP BY S.ratingHAVING COUNT (*) >= 2


Null Values Field values in a tuple are sometimes unknown (e.g.,

a rating has not been assigned) or inapplicable (e.g., no spouse’s name). SQL provides a special value null for such situations.

The presence of null complicates many issues. E.g.: Special operators needed to check if value is/is not null. Is rating>8 true or false when rating is equal to null?

What about AND, OR and NOT connectives? We need a 3-valued logic (true, false and unknown). Meaning of constructs must be defined carefully. (e.g.,

WHERE clause eliminates rows that don’t evaluate to true.) New operators (in particular, outer joins) possible/needed.


Integrity Constraints (Review)

An IC describes conditions that every legal instance of a relation must satisfy. Inserts/deletes/updates that violate IC’s are

disallowed. Can be used to ensure application semantics (e.g.,

sid is a key), or prevent inconsistencies (e.g., sname has to be a string, age must be < 200)

Types of IC’s: Domain constraints, primary key constraints, foreign key constraints, general constraints. Domain constraints: Field values must be of right

type. Always enforced.


General Constraints

Useful when more general ICs than keys are involved.

Can use queries to express constraint.

Constraints can be named.

CREATE TABLE Sailors( sid INTEGER,sname CHAR(10),rating INTEGER,age REAL,PRIMARY KEY (sid),CHECK ( rating >= 1

AND rating <= 10 ) CREATE TABLE Reserves

( sname CHAR(10),bid INTEGER,day DATE,PRIMARY KEY (bid,day),CONSTRAINT noInterlakeResCHECK (Ìnterlake’ <>

( SELECT B.bnameFROM Boats BWHERE B.bid=bid)))


Constraints Over Multiple Relations

CREATE TABLE Sailors( sid INTEGER,sname CHAR(10),rating INTEGER,age REAL,PRIMARY KEY (sid),CHECK ( (SELECT COUNT (S.sid) FROM Sailors S)+ (SELECT COUNT (B.bid) FROM Boats B) < 100 )

Awkward and wrong!

If Sailors is empty, the number of Boats tuples can be anything!

ASSERTION is the right solution; not associated with either table.

CREATE ASSERTION smallClubCHECK ( (SELECT COUNT (S.sid) FROM Sailors S)+ (SELECT COUNT (B.bid) FROM Boats B) < 100 )

Number of boatsplus number of sailors is < 100


Triggers

Trigger: procedure that starts automatically if specified changes occur to the DBMS

Three parts: Event (activates the trigger) Condition (tests whether the triggers should

run) Action (what happens if the trigger runs)


Triggers: Example (SQL:1999)

CREATE TRIGGER youngSailorUpdateAFTER INSERT ON SAILORS

REFERENCING NEW TABLE NewSailorsFOR EACH STATEMENT

INSERTINTO YoungSailors(sid, name, age, rating)SELECT sid, name, age, ratingFROM NewSailors NWHERE N.age <= 18


Exercises

Sailors ( sid, sname, rating, age)Boats ( bid, bname, color )Reserve( sid, bid, date )


Find snames whose rating>10 and who reserved some red boat.Solution 1: 3-way join.Solution 2: use IN:

… WHERE S.rating>10 AND S.sid INSolution 3: use EXISTS

… WHERE S.rating>10 AND EXISTS …Solution 4: use INTERSECT

… WHERE S.sid IN ( … INTERSECT … )


Find snames whose rating>10 or who reserved some red boat.

Simple modifications from the above four cases. In particular: INTERSECT UNION

Solution 5: union on snames.


Find sids with the highest rating.

Solution 1: use MAX… S.rating = (SELECT MAX(S2.rating) …)

Solution 2: use ALL… S.rating >= ALL ( SELECT S2.rating … )

Solution 3: use EXCEPT… EXCEPT ( … S.sid < ANY (SELECT S2.rating) … )


Find bids not reserved by sid=5.

Solution 1: use EXCEPTSolution 2: use NOT EXISTS

Find sids who reserved all boats.Find sids who reserved all red boats.


Find sids who made exactly one reservation.

Solution 1: use NOT EXISTSnot exists another reserve record with same sid.

Solution 2: use UNIQUE… WHERE UNIQUE (… WHERE R.sid=R2.sid)

Solution 3: use GROUPBY & HAVING


More examples on groupby.- For each sid who reserved, find # reservations.- For each sid who reserved at least 5 times, find # different boats she reserved.- For each sid who reserved, find # different colors she reserved.- For each bid which was reserved by at least two different sailors, find avg rating of reservers.


More examples on nested query as source.- Find the ratings for which the average age of sailors is minimum over all ratings.- Find the sailor sids who made more than average number of reservations per sailor. * choice 1: counting only those in Reserves. * choice 2: including those who did not reserve.


Exercise 5.2

Suppliers (sid: integer, sname: string, address: string)

Parts (pid: integer, pname: string, color: string)

Catalog (sid: integer, pid: integer, cost: real)


4. Find the pnames of parts supplied by Acme Widget Suppliers and no one else.SELECT P.pnameFROM Parts P, Catalog C, Suppliers SWHERE P.pid = C.pid AND C.sid = S.sid

AND S.sname = Àcme Widget Suppliers' AND NOT EXISTS ( SELECT *

FROM Catalog C1, Suppliers S1 WHERE P.pid = C1.pid AND C1.sid = S1.sid

AND S1.sname <> Àcme

Widget Suppliers' )


3. Find the snames of suppliers who supply every red part.

SELECT S.snameFROM Suppiers SWHERE NOT EXISTS ( (SELECT P.pid

FROM Parts PWHERE P.color = `red' )EXCEPT(SELECT C.pidFROM Catalog CWHERE C.sid = S.sid) )


6. For each part, find the sname of the supplier who charges the most for that part.SELECT P.pid, S.snameFROM Parts P, Suppliers S, Catalog CWHERE C.pid = P.pid AND C.sid = S.sid AND C.cost = (SELECT MAX (C1.cost) FROM Catalog C1 WHERE C1.pid =

P.pid)


7. Find the sids of suppliers who supply only red parts.

SELECT DISTINCT C.sidFROM Catalog CWHERE NOT EXISTS ( SELECT * FROM Catalog C1,

Parts P WHERE C1.pid = C.pid

AND C1.pid = P.pid

AND P.color <> `red' )


10. For every supplier that only supplies green parts, print the name of the supplier and the total number of parts that she supplies.

SELECT S.sname, COUNT(*) as PartCountFROM Suppliers S, Parts P, Catalog CWHERE P.pid = C.pid AND C.sid = S.sidGROUP BY S.sname, S.sidHAVING EVERY (P.color='green')


Exercise 5.7

Emp (eid: integer, ename: string, age: integer, salary: real)

Works (eid: integer, did: integer, pct_time: integer)

Dept (did: integer, budget: real, managerid: integer)


1. Define a table constraint on Emp that will ensure that every employee makes at least $10,000.CREATE TABLE Emp ( eid INTEGER,

ename CHAR(10), age INTEGER , salary REAL, PRIMARY KEY (eid), CHECK ( salary >=

10000 ))


3. Define an assertion on Dept that will ensure that all managers have age > 30. Compare this assertion with the equivalent table constraint. Explain which is better.CREATE TABLE Dept ( did INTEGER,

budget REAL,managerid INTEGER ,PRIMARY KEY (did) )

CREATE ASSERTION managerAgeCHECK ( (SELECT MIN(E.age)

FROM Emp E, Dept D WHERE E.eid = D.managerid ) > 30 )


Exercise 5.10

Emp (eid: integer, ename: string, age: integer, salary: real)

Works (eid: integer, did: integer, pct_time: integer)Dept (did: integer, budget: real, managerid: integer)

An employee can work in more than one department; the pct_time field of the Works relation shows the percentage of time that a given employee works in a given department.

Write integrity constraints or triggers.


2. Every manager must also be an employee.

CREATE ASSERTION ManagerIsEmployeeCHECK ( ( SELECT COUNT (*)

FROM Dept D WHERE D.managerid NOT IN

(SELECT eid FROM Emp)) = 0)


3. The total percentage of all appointments for an employee must be under 100%.CREATE TABLE Works ( eid INTEGER,

did INTEGER, pct time INTEGER, PRIMARY KEY (eid, did), CHECK ( (SELECT COUNT

(W.eid)FROM Works WGROUP BY W.eidHAVING Sum(pct

time) > 100) = 0))


5. Whenever an employee is given a raise, the manager’s salary must be increased to be at least as much.CREATE TRIGGER GiveRaise AFTER UPDATE ON Emp

WHEN old.salary < new.salaryFOR EACH ROWBEGIN

UPDATE Emp MSET M.Salary = new.salaryWHERE M.salary < new.salaryAND M.eid IN (SELECT D.mangerid

FROM Emp E, Works W, Dept D

WHERE E.eid = new.eid AND E.eid = W.eid AND W.did = D.did);

END

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Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke1 SQL: Queries, Programming, Triggers Chapter 5 Modified by Donghui Zhang