COMP 430 Intro. to Database Systems
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1 SELECT name FROM sqlite_master WHERE type='table' COMP 430 Intro. to Database Systems Single-table SQL Get clickers today! Slides use ideas from Chris Ré and Chris Jermaine.
2 Clicker test Have you used clickers before? A. True B. False 0% 0%
3 What is Structured Query Language (SQL)? Standard language for databases Many related standards: ANSI SQL, SQL92 (= SQL2), SQL99 (= SQL3) Vendors support various subsets and extensions Very high-level programming language Highly optimized, parallelized Huge language We ll cover only a core subset. Typically called from main application language (Python, Java, ) SQLexecute( SQL CODE )
4 Two languages in one Data Definition Language (DDL) Define relational schemas Create/modify/delete tables and their attributes declarative imperative Data Manipulation Language (DML) Query DB for desired data Add/modify/delete data in tables Define/use functions, procedures, triggers declarative imperative imperative
5 Basic concepts
6 Table=Relation Heading: Names of each column. Product p_name price manufacturer Gizmo $19.99 GizmoWorks Powergizmo $39.99 GizmoWorks Widget $19.99 WidgetsRUs HyperWidget $ Hyper Row=tuple=record: A single entry in the table. #rows = cardinality Column=attribute=field: A typed data entry in each row. #columns = arity=degree
7 Table=Relation Product p_name price manufacturer Gizmo $19.99 GizmoWorks Powergizmo $39.99 GizmoWorks Widget $19.99 WidgetsRUs HyperWidget $ Hyper Table is a multiset of rows. Not ordered. Duplicate rows allowed.
8 Schema defines table attributes Product p_name price manufacturer Gizmo $19.99 GizmoWorks Powergizmo $39.99 GizmoWorks Widget $19.99 WidgetsRUs HyperWidget $ Hyper Product (p_name: string, price: float, manufacturer: string)
9 Creating a table Product (p_name: string, price: float, manufacturer: string) CREATE TABLE Product ( p_name VARCHAR(50), price NUMERIC(6,2), manufacturer VARCHAR(50) ); Some SQL variants have a CURRENCY or MONEY type.
10 SQL attribute types All types are atomic! Examples: CHAR(n), VARCHAR(n), NCHAR(n), NVARCHAR(n) INT, BIGINT, SMALLINT, FLOAT, DECIMAL(m,n) BOOLEAN, MONEY, DATETIME Traditionally. However, sets and arrays are allowed in some SQL versions.
11 NULL data Any value of any type can be NULL. Signals missing value. Value doesn t exist. Value exists but unknown. Value not applicable to this record.
12 Keys Key = minimal set of attributes acting as a unique tuple identifier. Consider the universe of all potential relation data, not just what the table currently contains. Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper
13 What is key? Response Counter 25% 25% 25% 25% A. dept B. dept, number C. dept, number, section D. dept, number, section, instructor Course dept number section instructor MATH Jones MATH Smith MATH Williams PHYS Baker PHYS Baker dept dept, number t, number, section section, instructor
14 What is key? Response Counter 25% 25% 25% 25% A. s_name B. abbrev C. The pair s_name, abbrev D. Each of s_name and abbrev State s_name abbrev year_admitted Alabama AL 1819 Alaska AK 1959 Arizona AZ 1912 Arkansas AR 1836 California CA 1850 s_name abbrev name, abbrev e and abbrev
15 Primary keys Every table should have one primary key. Each tuple must have distinct non-null values of primary key attributes. Guarantees table is a mathematical relation. Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper Product (p_name: string, price: float, manufacturer: string)
16 Primary keys are a DB-checked constraint Adding a new record with duplicate or NULL primary key will fail. Failure reported as exception or erroneous return value. Product p_name price manufacturer Product (p_name: string, price: float, manufacturer: string) Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper Widget GizmoWorks We will see other kinds of DB-checked constraints.
17 Creating a table with primary key Product (p_name: string, price: float, manufacturer: string) CREATE TABLE Product ( p_name VARCHAR(50), price DECIMAL(6,2), manufacturer VARCHAR(50), PRIMARY KEY (p_name) );
18 NOT NULL constraint Course (c_id: integer, c_name: string, instructor: string) CREATE TABLE Course ( c_id INTEGER, c_name VARCHAR(50) NOT NULL, instructor VARCHAR(50), PRIMARY KEY (c_id) );
19 Adding a single record to a table INSERT INTO Product VALUES ( MiniWidget, 21.99, WidgetsRUs ); INSERT INTO Product (p_name, manufacturer) VALUES ( NanoWidget, WidgetsRUs ); Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper MiniWidget WidgetsRUs NanoWidget NULL WidgetsRUs
20 Activity: Creating a table 02a-table.ipynb Course dept number section instructor MATH Jones MATH Smith MATH Williams PHYS Baker PHYS Baker CREATE TABLE Course ( ); INSERT INTO Course ; Course (dept, number, section, instructor)
21 Activity partial solution Course (dept, number, section, instructor) CREATE TABLE Course ( dept CHAR(4), number CHAR(3), section INT DEFAULT 1, instructor VARCHAR(50), PRIMARY KEY (dept, number, section) ); Convenient for this example.
22 Simple queries
23 SELECT-FROM-WHERE SELECT attributes FROM tables WHERE conditions Results in a new table, which can be returned or stored.
24 Selecting some records SELECT * FROM Product WHERE Price > 20; Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks p_name price manufacturer Powergizmo GizmoWorks HyperWidget Hyper Widget WidgetsRUs HyperWidget Hyper
25 More selection examples SELECT * FROM Product WHERE price IS NOT NULL; SELECT * FROM Product WHERE price BETWEEN 20 AND 40; SELECT * FROM Product WHERE price > 20 AND manufacturer = GizmoWorks ; SELECT * FROM Product WHERE manufacturer IN ( GizmoWorks, WidgetsRUs );
26 Selection with pattern matching SELECT * FROM Product WHERE p_name LIKE %Gizmo% ; % = Match any sequence of 0-or-more characters _ = Match any single character [abc] = Match any one character listed [a-c] = Match any one character in range
27 Projecting some fields SELECT p_name, manufacturer FROM Product; Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper p_name Gizmo Powergizmo Widget HyperWidget manufacturer GizmoWorks GizmoWorks WidgetsRUs Hyper Answer (p_name, manufacturer)
28 Combining selection & projection SELECT p_name, manufacturer FROM Product WHERE price > 20; Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper p_name Powergizmo HyperWidget manufacturer GizmoWorks Hyper
29 Results not necessarily distinct SELECT manufacturer FROM Product; Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper manufacturer GizmoWorks GizmoWorks WidgetsRUs Hyper Tables are multisets! Answer (manufacturer)
30 Making results distinct SELECT DISTINCT manufacturer FROM Product; Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper manufacturer GizmoWorks WidgetsRUs Hyper Ensures results are a set.
31 Query semantics set notation SELECT [DISTINCT] a 1, a 2,, a m FROM T WHERE Conditions(a 1, a 2,, a p ); {(a 1, a 2,, a m ) Conditions(a 1, a 2,, a p )} Multisets by default. Sets with DISTINCT.
32 Query semantics sequence of ops SELECT [DISTINCT] a 1, a 2,, a m FROM T WHERE Conditions(a 1, a 2,, a p ); Answer = {} Multiset union by default. for row in T do Set union with DISTINCT. if Conditions(row.a 1, row.a 2,, row.a p ) then Answer = Answer {(row.a 1, row.a 2,, row.a m )} return Answer
33 Subset of results SELECT p_name, manufacturer FROM Product LIMIT 2; Which 2 is implementationdependent. Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper Gizmo p_name Powergizmo manufacturer GizmoWorks GizmoWorks
34 Computation in SELECT clause Product SELECT p_name, IsNull(price, 0) AS price FROM Product; p_name price manufacturer p_name price Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper MiniWidget WidgetsRUs NanoWidget NULL WidgetsRUs Gizmo Powergizmo Widget HyperWidget MiniWidget NanoWidget 0
35 More computation in SELECT clauses SELECT location, time, celsius * AS fahrenheit FROM SensorReading; SELECT player_id, Floor(height) AS feet, (height Floor(height)) * 12 AS inches FROM Player; Use AS. Without it, SQL will create a default field name.
36 Sorting SELECT p_name, manufacturer FROM Product ORDER BY price DESC, manufacturer; Product p_name price manufacturer Gizmo GizmoWorks Powergizmo GizmoWorks Widget WidgetsRUs HyperWidget Hyper p_name HyperWidget Powergizmo Gizmo Widget manufacturer Hyper GizmoWorks GizmoWorks WidgetsRUs
37 Sorting vs. Multiset semantics Table rows are unordered, except when they re ordered. More accurately, unless you use ORDER BY: Can t assume anything about ordering. Ordering depends on implementation, which can vary. Queries don t necessarily maintain order of original table.
38 Activity: Writing queries 02b-queries.ipynb
39 Some details
40 NULL semantics NULL is not a value. It is the lack of a value. In numeric operations: f(null) NULL In Boolean operations, we use 3-value logic (FALSE, UNKNOWN, TRUE): NULL = Houston UNKNOWN NULL = NULL UNKNOWN A F NOT A T A AND B B F U T A OR B B F U T U U F F F F F F U T T F A U F U U A U U U T T F U T T T T T
41 Syntax details Strings use single quotes, not double Houston Equality test uses single =, not double x = 5 Amount of whitespace doesn t matter
42 Syntax details case sensitivity Case insensitive Keywords: SELECT, NULL Table names: Product Function names: IsNull() Depends on SQL version Attribute names: product_id Case sensitive String literals: HOUSTON, Houston, houston
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