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SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

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SQL: Queries, Constraints, Triggers Chapter 5 – Part 1. Agenda. Introduction Basic SQL Query Union, Intersection and Except Nested Queries Aggregate Operations Null Values Complex Integrity Constraints in SQL Triggers and Active Databases Design Active Database. About the examples. - PowerPoint PPT Presentation
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CSC 411/511: DBMS Design Dr. Nan Wang CSC411_L6_SQL(1) 1 SQL: Queries, Constraints, Triggers Chapter 5 – Part 1
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Page 1: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC 411/511: DBMS Design

Dr. Nan Wang CSC411_L6_SQL(1)1

SQL: Queries, Constraints, Triggers

Chapter 5 – Part 1

Page 2: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang22

Agenda

• Introduction• Basic SQL Query• Union, Intersection and Except• Nested Queries• Aggregate Operations• Null Values• Complex Integrity Constraints in SQL• Triggers and Active Databases• Design Active Database

Page 3: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang3

About the examples

3

sid sname rating age

22 dustin 7 45.0

31 lubber 8 55.558 rusty 10 35.0 sid bid day

22 101 10/10/9658 103 11/12/96

Page 4: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang4

Example Instances

sid sname rating age

22 dustin 7 45.0

31 lubber 8 55.558 rusty 10 35.0

sid sname rating age28 yuppy 9 35.031 lubber 8 55.544 guppy 5 35.058 rusty 10 35.0

sid bid day

22 101 10/10/9658 103 11/12/96

R1

S1

S2

• We will use these instances of the Sailors and Reserves relations in our examples.

• If the key for the Reserves relation contained only the attributes sid and bid, how would the semantics differ?

Page 5: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang5

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

, , , , ,

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CSC411_L6_SQL(1)Dr. Nan Wang77

Page 8: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang8

Query FROM More than One Table Using JOINs

• A join combines the rows of two tables, based on a rule called a join condition; this compares values from the rows of both tables to determine which rows should be joined.

• There are three basic types of join:– inner join, created with the INNER JOIN keywords– outer join, which comes in three varieties:

• LEFT OUTER JOIN • RIGHT OUTER JOIN • FULL OUTER JOIN

– cross join, created with the CROSS JOIN keywords

8

Page 9: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang9

Inner Join

• Select a, b• From A, B• Where A.a=B.b

9

Page 10: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang1010

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CSC411_L6_SQL(1)Dr. Nan Wang1111

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CSC411_L6_SQL(1)Dr. Nan Wang12

• Select a, b• From A, B

12

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CSC411_L6_SQL(1)Dr. Nan Wang13

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.

Page 14: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang14

Example of Conceptual Evaluation

(sid) sname rating age (sid) bid day

22 dustin 7 45.0 22 101 10/ 10/ 96

22 dustin 7 45.0 58 103 11/ 12/ 96

31 lubber 8 55.5 22 101 10/ 10/ 96

31 lubber 8 55.5 58 103 11/ 12/ 96

58 rusty 10 35.0 22 101 10/ 10/ 96

58 rusty 10 35.0 58 103 11/ 12/ 96

Select S.snameFrom Sailors as S inner join Reserves as R on S.sid = R.sidWhere R.bid = 103

Page 15: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang15

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

Page 16: SQL: Queries, Constraints, Triggers Chapter 5 – Part 1

CSC411_L6_SQL(1)Dr. Nan Wang1616

Query Examples

• Find the sids of sailors who have reserved a red boat (Q16)

• Find the name of sailors who have reserved a red boat (Q2)

SELECT B.sidFROM Reserves R, Boats BWHERE R.bid=B.bid AND B.color = ‘red’

SELECT S.snameFROM Sailors S, Reserves R, Boats BWHERE S.sid=R.sid AND R.bid = B.bid AND B.color = ‘red’

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CSC411_L6_SQL(1)Dr. Nan Wang17

• Find the color of the boats reserved by Lubber (Q3)

17

SELECT B.colorFROM Sailors S, Reserves R, Boats BWHERE S.sid=R.sid AND R.bid = B.bid AND S.name = ‘Lubber’

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CSC411_L6_SQL(1)Dr. Nan Wang18

Find sailors who’ve reserved at least one boat

• Would adding DISTINCT to this query make a difference?

• What is the effect of replacing S.sid by S.sname in the SELECT clause? – Would adding DISTINCT to this variant of the query make a

difference?

SELECT S.sidFROM Sailors S, Reserves RWHERE S.sid=R.sid

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CSC411_L6_SQL(1)Dr. Nan Wang19

Expressions and Strings

• 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.

• Illustrates use of arithmetic expressions and string pattern matching: – 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.

• Comparison operators (=, <, >, etc.) can be used for string comparison

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

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CSC411_L6_SQL(1)Dr. Nan Wang2020

Expressions and Strings

• Compute the increments for the ratings of persons who have sailed two different boats on the same day.

• Each item in a qualification can be as general as expression1=expression2

SELECT S.sname, S.rating+1 as ratingFROM Sailors S, Reserves R1, Reserves R2WHERE S.sid=R1.sid AND S.sid = R2.sid

AND R1.day = R2.day AND R1.bid <> R2.bid

SELECT S.sname AS name1, S2.sname AS name2FROM Sailors S1, Sailors S2WHERE 2*S1.rating = S2.rating - 1

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• (Q18) Find the ages of sailors whose name begins and ends with B and has at least three characters

21

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CSC411_L6_SQL(1)Dr. Nan Wang22

• Union• Intersect• except

22

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CSC411_L6_SQL(1)Dr. Nan Wang23

Find sid’s of sailors who’ve reserved a red or a green boat

• UNION: Can be used to compute the union of any two union-compatible sets of tuples (which are themselves the result of SQL queries).

• If we replace OR by AND in the first version, what do we get?

• Also available: EXCEPT (What do we get if we replace UNION by EXCEPT?)

SELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND (B.color=‘red’ OR B.color=‘green’)

SELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘red’UNIONSELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘green’

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CSC411_L6_SQL(1)Dr. Nan Wang24

Find sid’s of sailors who’ve reserved a red and a green boat

• INTERSECT: Can be used to compute the intersection of any two union-compatible sets of tuples.

• Some systems don’t support it.

• Contrast symmetry of the UNION and INTERSECT queries with how much the other versions differ.

SELECT S.sidFROM Sailors S, Boats B1, Reserves R1, Boats B2, Reserves R2WHERE S.sid=R1.sid AND R1.bid=B1.bid AND S.sid=R2.sid AND R2.bid=B2.bid AND (B1.color=‘red’ AND B2.color=‘green’)

SELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘red’INTERSECTSELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘green’

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CSC411_L6_SQL(1)Dr. Nan Wang2525

Find the names of sailors who’ve reserved a red and a green boat

• Is this query correct? Why

SELECT S.snameFROM Sailors S, Reserves R, Boats B WHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘red’INTERSECTSELECT S2.snameFROM Sailors S2, Boats B2, Reserves R2WHERE S2.sid=R2.sid AND R2.bid=B2.bid AND B2.color=‘green’

There are two sailors with the same name Horatio!

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CSC411_L6_SQL(1)Dr. Nan Wang2626

Find the sids of all sailors who have reserved red boats but not green boats

SELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘red’EXCEPTSELECT S.sidFROM Sailors S, Boats B, Reserves RWHERE S.sid=R.sid AND R.bid=B.bid AND B.color=‘green’

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CSC411_L6_SQL(1)Dr. Nan Wang2727

Find the sids of sailors who have a rating of 10 or reserved boat 104

• In contrast to the default that duplicates are not eliminated unless DISTINCT is specified in the basic query form, the default for UNION queries is that duplicates are eliminated!

• To retain duplicates, use UNION ALL, INTERSECT ALL and EXCEPT ALL

SELECT S.sidFROM Sailors SWHERE S.rating = 10 UNIONSELECT R.sidFROM Reserves RWHERE R.bid=104

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CSC 411/511: DBMS Design

Dr. Nan Wang CSC411_L6_SQL(1)28

Questions?


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