CMPT 258 Database Systems Relational Algebra (Chapter 4)

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CMPT 258 Database Systems Relational Algebra (Chapter 4)

Formal Relational Query Languages Two mathematical Query Languages form the basis for “real” languages (e.g. SQL), and for implementation: ▫Relational Algebra: More operational, very useful for representing execution plans. ▫Relational Calculus: Lets users describe what they want, rather than how to compute it. *Understanding Algebra & Calculus is key to understanding SQL, query processing!

Relational Algebra: 5 Basic Operations Selection (  ) Selects a subset of rows from relation (horizontal). Projection (  ) Retains only wanted columns from relation (vertical). Cross-product (  ) Allows us to combine two relations. Set-difference ( — ) Tuples in r1, but not in r2. Union (  ) Tuples in r1 and/or in r2. Since each operation returns a relation, operations can be composed! 3

Example Instances R1 S1 S2 Boats 4

Projection Projection (  ) Retains only wanted columns from relation (vertical). Examples: ; Retains only attributes that are in the “projection list”. Schema of result: ▫exactly the fields in the projection list, with the same names that they had in the input relation. 5

Projection S2 6

Selection (  ) Selects rows that satisfy selection condition. Result is a relation. Schema of result is same as that of the input relation. 7

Union and Set-Difference All of these operations take two input relations, which must be union-compatible: ▫Same number of fields. ▫‘Corresponding’ fields have the same type. 8

Union S1 S2 9

Set Difference Set-difference ( r1—r2 ): Tuples in r1, but not in r2. S1 S2 S2 – S1 10

Cross-Product S1  R1: Each row of S1 paired with each row of R1. Q: How many rows in the result? ▫Cartesian Product Result schema has one field per field of S1 and R1, with field names ‘inherited’ if possible. R1 S1

Cross Product Example R1 S1 S1 X R1 = 12

Cross-Product May have a naming conflict: Both S1 and R1 have a field with the same name. ▫In this case, can use the renaming operator:

Cross Product Example R1 S1 C = 14

Compound Operator: Intersection In addition to the 5 basic operators, there are several additional “Compound Operators” ▫These add no computational power to the language, but are useful shorthands. ▫Can be expressed solely with the basic ops. Intersection takes two input relations, which must be union-compatible. 15

Intersection S1 S2 16

Compound Operator: Intersection Q: How to express it using basic operators? S1  S2 = ? S1  S2 = S1  (S1  S2)

Compound Operator: Join Joins are compound operators involving cross product, selection, and (sometimes) projection. Most common type of join is a “natural join” (often just called “join”). R S 18

Compound Operator: Join R S conceptually is: ▫Compute R  S ▫Select rows where attributes that appear in both relations have equal values ▫Project all unique attributes and one copy of each of the common ones. 19 R1 S1

Natural Join Example R1 S1 S1 R1 = 20

Compound Operator: Division Useful for expressing “for all” queries like: Find sids of sailors who have reserved all boats. For A/B attributes of B are subset of attrs of A. ▫May need to “project” to make this happen. Reserves Boats

Compound Operator: Division E.g., let A have 2 fields, x and y; B have only field y: A/B contains all tuples (x) such that for every y tuple in B, there is an xy tuple in A.

Examples of Division A/B A B1 B2 B3 A/B1 A/B2A/B3 23

Examples Reserves Sailors Boats 24

Q:Find names of sailors who’ve reserved boat # Reserves Sailors Boats

Q: Find names of sailors who’ve reserved boat #103 Solution 1: Solution 2: 26 Reserves Sailors

Q: Find names of sailors who’ve reserved a red boat 27 Reserves Sailors Boats

Q: Find names of sailors who’ve reserved a red boat Information about boat color only available in Boats; so need an extra join: v A more efficient solution: 28 Q: Find sailors who’ve reserved a red or a green boat?

Q: Find sailors who’ve reserved a red or a green boat Can identify all red or green boats, then find sailors who’ve reserved one of these boats: 29 Q: Find sailors who’ve reserved a red and a green boat? Previous approach won’t work!

Q: Find sailors who’ve reserved a red and a green boat 30 Reserves Sailors Boats

Q: Find sailors who’ve reserved a red and a green boat Must identify sailors who’ve reserved red boats, sailors who’ve reserved green boats, then find the intersection (note that sid is a key for Sailors): Can you think of another way of solving the previous query? Find sailors who’ve reserved a red or a green boat 31

Q: Find the colors of boats reserved by Lubber 32 Reserves Sailors Boats

Q: Find the sids of all sailors who have reserved red boats but not green boats 33 Reserves Sailors Boats

Q: Find the sids of sailors with age over 20 who have not reserved a red boat 34 Reserves Sailors Boats

Q: Find the names of sailors who have reserved at least one boat 35 Reserves Sailors Boats

Q: Find the names of sailors who’ve reserved all boats 36 Reserves Sailors Boats

Q: Find the names of sailors who’ve reserved all boats Uses division; schemas of the input relations to / must be carefully chosen: v To find sailors who’ve reserved all ‘Interlake’ boats? 37

Q: Find the names of sailors who’ve reserved all ‘Interlake’ boats Boats

Summary Relational Algebra: a small set of operators mapping relations to relations ▫Operational, in the sense that you specify the explicit order of operations ▫Can mix and match. Basic ops include: , , , , — Important compound ops: ,, / 39

Exercises Write the following queries in relational algebra.

Homework 3 Problem 1 ▫State what the queries compute in simple English Problem 2 ▫Write the queries in relational algebra ▫Clear handwriting!

Readings Chapter 5