CS186: Introduction to Database Systems

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Transcript CS186: Introduction to Database Systems

CS 405G: Introduction to
Database Systems
Lecture 10: SQL II
Instructor: Chen Qian
Spring 2014
HW1, 1
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HW1, 2
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2.1 Examples of non-candidate keys include the
following: {name}, {age}. (Note that {gpa} cannot be
declared as a non-candidate key from this evidence
alone even though common sense tells us that clearly
more than one student could have the same grade point
average.)
2.2 You cannot determine a key of a relation given only
one instance of the relation. A candidate key, as defined
here, is a key, not something that only might be a key.
The instance shown is just one possible “snapshot” of
the relation. However…..
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Solution of Quiz 2
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What is the relational algebra of the query “Find the sids of
suppliers who supply some red part or are at 221 Packer Street”?
(4pt)
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Solution of Quiz 2
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What is the relational algebra of the query “Find the pids of parts
supplied by at least two different suppliers”? (3pt)
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Solution of Quiz 2
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Find the Supplier ids of the suppliers who supply a red part that
costs less than 100 dollars and a green part that costs less than
100 dollars.
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Summary of last lecture
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SELECT-FROM-WHERE statements (select-project-join
queries)
Renaming operation
Set and bag operations
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Set versus bag semantics
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Set
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No duplicates
Relational model and algebra use set semantics
Bag
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Duplicates allowed
Number of duplicates is significant
SQL uses bag semantics by default
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A case for bag semantics
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Efficiency
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Which one is more useful?
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Saves time of eliminating duplicates
But increase the space cost
πGPA Student
SELECT GPA FROM Student;
The first query just returns all possible GPA’s
The second query returns the actual GPA distribution
Besides, SQL provides the option of set semantics with
DISTINCT keyword
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Forcing set semantics
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SIDs of all pairs of classmates
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SELECT e1.SID AS SID1, e2.SID AS SID2
FROM Enroll AS e1, Enroll AS e2
WHERE e1.CID = e2.CID
AND e1.SID > e2.SID;
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Say Bart and Lisa both take CPS116 and CPS114
SELECT DISTINCT e1.SID AS SID1, e2.SID AS
SID2
...
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With DISTINCT, all duplicate (SID1, SID2) pairs are
removed from the output
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SQL set and bag operations
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UNION, EXCEPT, INTERSECT
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Set semantics
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Duplicates in input tables, if any, are first eliminated
Exactly like set union, - and intersect in relational
algebra
UNION ALL, EXCEPT ALL, INTERSECT ALL
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Bag semantics
Think of each row as having an implicit count (the
number of times it appears in the table)
Bag union: sum up the counts from two tables
Bag difference: subtract the two counts (a row with
negative count vanishes)
Bag intersection: take the minimum of the two counts
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Examples of bag operations
Bag1
Bag2
fruit
fruit
Apple
Apple
Apple
Orange
Orange
Orange
Bag1 UNION ALL Bag2
Bag1 INTERSECT ALL Bag2
fruit
Apple
Apple
Apple
Bag1 EXCEPT ALL Bag2
Apple
fruit
Apple
Orange
Orange
Orange
Orange
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Exercise
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Enroll(SID, CID), ClubMember(club, SID)
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(SELECT SID FROM ClubMember)
EXCEPT
(SELECT SID FROM Enroll);
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SID’s of students who are in clubs but not taking any classes
(SELECT SID FROM ClubMember)
EXCEPT ALL
(SELECT SID FROM Enroll);
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SID’s of students who are in more clubs than classes
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Operational Semantics of SFW
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SELECT [DISTINCT] E1, E2, …, En
FROM R1, R2, …, Rm
WHERE condition;
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For each t1 in R1:
For each t2 in R2: … …
For each tm in Rm:
If condition is true over t1, t2, …, tm:
Compute and output E1, E2, …, En as a row
If DISTINCT is present
Eliminate duplicate rows in output
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Summary of SQL features
SELECT-FROM-WHERE statements (select-project-join
queries)
Renaming operation
Set and bag operations
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UNION, DIFFERENCE, INTERSECTION
Next: aggregation and grouping
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Aggregates
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Standard SQL aggregate functions: COUNT, SUM, AVG,
MIN, MAX
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Example: number of students under 18, and their
average GPA
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SELECT COUNT(*), AVG(GPA)
FROM Student
WHERE age < 18;
COUNT(*) counts the number of rows
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Aggregates with DISTINCT
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Example: How many students are taking classes?
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SELECT COUNT (SID)
FROM Enroll;
Correct one:
SELECT COUNT(DISTINCT SID)
FROM Enroll;
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GROUP BY
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SELECT … FROM … WHERE …
GROUP BY list_of_columns;
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Example: find the average GPA for each age group
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SELECT age, AVG(GPA)
FROM Student
GROUP BY age;
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Results: average GPA of year 18, average GPA of year
19, etc….
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Operational semantics of GROUP BY
SELECT … FROM … WHERE … GROUP BY …;
 Compute FROM
 Compute WHERE
 Compute GROUP BY: group rows according to the
values of GROUP BY columns
 Compute SELECT for each group
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For aggregation functions with DISTINCT inputs, first
eliminate duplicates within the group
Number of groups = number of rows in the final output
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Example of computing GROUP BY
SELECT age, AVG(GPA) FROM Student GROUP BY age
age; name
sid
age gpa
1234
John Smith
21
3.5
1123
Mary Carter
19
3.8
1011
Bob Lee
22
2.6
1204
Susan Wong
22
3.4
1306
Kevin Kim
19
2.9
Compute SELECT for each
group age gpa
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Compute GROUP BY: group
rows according to the
values of GROUP BY
columns
sid
name
age
gpa
1234
John Smith
21
3.5
1123
Mary Carter
19
3.8
21
3.5
1306
Kevin Kim
19
2.9
19
3.35
1011
Bob Lee
22
2.6
22
3.0
1204
Susan Wong
22
3.4
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Aggregates with no GROUP BY
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An aggregate query with no GROUP BY clause represent
a special case where all rows go into one group
SELECT AVG(GPA) FROM Student;
Compute aggregate
over the group
sid
name
age
gpa
sid
name
age
gpa
1234
John Smith
21
3.5
1234
John Smith
21
3.5
1123
Mary Carter
19
3.8
1123
Mary Carter
19
3.8
1011
Bob Lee
22
2.6
1011
Bob Lee
22
2.6
1204
Susan Wong
22
3.4
1204
Susan Wong
22
3.4
1306
Kevin Kim
19
2.9
1306
Kevin Kim
19
2.9
gpa
3.24
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Group all rows
into one group
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Restriction on SELECT
If a query uses aggregation/group by, then every column
referenced in SELECT must be either
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Aggregated, or
A GROUP BY column
This restriction ensures that any SELECT expression
produces only one value for each group
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Examples of invalid queries
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SELECT SID, age FROM Student GROUP BY age;
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Recall there is one output row per group
There can be multiple SID values per group
SELECT SID, MAX(GPA) FROM Student;
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Recall there is only one group for an aggregate query with
no GROUP BY clause
There can be multiple SID values
Wishful thinking (that the output SID value is the one
associated with the highest GPA) does NOT work
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HAVING
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Used to filter groups based on the group properties (e.g.,
aggregate values, GROUP BY column values)
SELECT … FROM … WHERE … GROUP BY …
HAVING condition;
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Compute FROM
Compute WHERE
Compute GROUP BY: group rows according to the values
of GROUP BY columns
Compute HAVING (another selection over the groups)
Compute SELECT for each group that passes HAVING
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HAVING examples
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Find the average GPA for each age group over 10
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SELECT age, AVG(GPA)
FROM Student
GROUP BY age
HAVING age > 10;
Can be written using WHERE
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List the average GPA for each age group with more than a
hundred students
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SELECT age, AVG(GPA)
FROM Student
GROUP BY age
HAVING COUNT(*) > 100;
Can be written using WHERE and table expressions
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Summary of SQL features
covered so far
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SELECT-FROM-WHERE statements
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Renaming operation
Set and bag operations
Aggregation and grouping

Next: Table expressions, subqueries
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Table
Scalar
In
Exist
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Table expression
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Use query result as a table
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In set and bag operations, FROM clauses, etc.
A way to “nest” queries
Example: names of students who are in more clubs than
classes
SELECT DISTINCT name
FROM Student,
(SELECT SID FROM ClubMember)
(
EXCEPT ALL
(SELECT SID FROM Enroll) ) AS S
WHERE Student.SID = S.SID;
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Scalar subqueries
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A query that returns a single row can be used as a value in
WHERE, SELECT, etc.
Example: students at the same age as Bart
SELECT *
What’s Bart’s age?
FROM Student
WHERE age = ( SELECT age
FROM Student
WHERE name = ’Bart’
);
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Runtime error if subquery returns more than one row
 Under what condition will this runtime error never occur?
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name is a key of Student
What if subquery returns no rows?
 The value returned is a special NULL value, and the comparison fails
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IN subqueries
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x IN (subquery) checks if x is in the result of
subquery
Example: students at the same age as (some) Bart
SELECT *
What’s Bart’s age?
FROM Student
WHERE age IN (SELECT age
FROM Student
WHERE name = ’Bart’);
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EXISTS subqueries
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EXISTS (subquery) checks if the result of subquery is
non-empty
Example: students at the same age as (some) Bart
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SELECT *
FROM Student AS s
WHERE EXISTS (SELECT * FROM Student
WHERE name = ’Bart’
AND age = s.age);
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This happens to be a correlated subquery—a subquery
that references tuple variables in surrounding queries
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Operational semantics of subqueries
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SELECT *
FROM Student AS s
WHERE EXISTS (SELECT * FROM Student
WHERE name = ’Bart’
AND age = s.age);
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For each row s in Student
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Evaluate the subquery with the appropriate value of s.age
If the result of the subquery is not empty, output s.*
The DBMS query optimizer may choose to process the query in
an equivalent, but more efficient way (example?)
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Operational semantics of subqueries
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The DBMS query optimizer may choose to process the query in
an equivalent, but more efficient way (example?)
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N+N comparisons
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Maybe have N*N
comparisons
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Summary of SQL features
covered so far

SELECT-FROM-WHERE statements
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Ordering
Set and bag operations
Aggregation and grouping
Table expressions, subqueries
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
Next: NULL’s, outerjoins, data modification, constraints,
…
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