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SQL: Structured Query Language SQL is a database manipulation language developped by IBM (San José, 1981) Structured Query Language: Can be written by humans Can be saved in files Can be exchanged between applications Structured Query Language: Can be automatically processed by machines SQL is a standard but there exist dialects (Access, MySQL), i.e., non-standard variants 2 Ex.: a Rugby Database Player Team Team-ID TeamName Country Coach ... Match Player-ID Team-ID FirstName LastName Position Match-ID Team1-ID Team2-ID Date Score1 Score2 Venue NbSpectators Has-Played Player-ID Match-ID NbPoints Team(Team-ID, TeamName, Country, Coach) Player(Player-ID, Team-ID, FirstName, LastName, Position) Match(Match-ID, Team1-ID, Team2-ID, Date, Score1, Score2, Venue, NbSpectators) Has-Played(Player-ID, Match-ID, NbPoints) 3 Extension (content of the database) Table Team Team-ID TeamName Country Coach FRA XV de France France Laporte NZL All Blacks New Zealand Henry ENG XV of the Rose England Ashton AUS Wallabies Australia Connolly RSA Spring Boks South Africa White ARG Pumas Argentina Loffreda Scotland Hadden Fidgi Tabua SCO FJI Fidgi Table Match Match-ID Team1-ID Team2-ID Date Score1 Score2 Venue NbSpectators 41 FRA NZL 06/10/2007 20 18 Cardiff 73350 42 AUS ENG 06/10/2007 10 12 Marseille 59500 43 RSA FJI 07/10/2007 37 20 Marseille 59500 44 ARG SCO 07/10/2007 19 13 Saint Denis 80000 45 ENG FRA 13/10/2007 14 9 Saint Denis 80000 46 RSA ARG 14/10/2007 37 13 Saint Denis 80000 47 FRA ARG 19/10/2007 10 34 Paris 47870 48 RSA ENG 20/10/2007 15 6 Saint Denis 80000 4 Extension (contd.) Table Has-Played Table Player Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde Clerc Beauxis Nallet Chabal Rokocoko Howlett Carter Evans Contepomi Hernandez Borges Corleto Gitean Mortlock Mitchel Wilkinson Habana Montgomery Little Dickinson scrumhalf wing flyhalf lock back row wing wing flyhalf flyhalf flyhalf fullback wing wing ... ... ... ... ... ... ... ... 5 Player-ID Match-ID NbPoints 1 1 1 2 2 2 3 6 7 8 9 17 17 17 18 18 18 19 19 19 ... 41 45 47 41 45 47 41 41 41 41 41 42 45 48 43 46 48 43 46 48 ... 21 15 8 12 6 7 10 12 15 20 25 14 22 16 10 11 9 24 22 30 ... Simple Queries General form: SELECT <listOfColumns> FROM <listOfTables>; -- This is the SELECT clause -- This is the FROM clause DO NOT FORGET THIS! 6 Simple Queries General form: SELECT <listOfColumns> FROM <listOfTables>; Ex.: list of all players SELECT * FROM Player; -- '*' means "all columns" Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 7 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde Clerc Beauxis Nallet Chabal Rokocoko Howlett Carter Evans Contepomi Hernandez Borges Corleto Gitean Mortlock Mitchel Wilkinson Habana Montgomery Little Dickinson scrumhalf wing flyhalf lock back row wing wing flyhalf flyhalf flyhalf fullback wing wing ... ... ... ... ... ... ... ... Simple Queries General form: SELECT <listOfColumns> FROM <listOfTables>; Ex.: list of all players SELECT * FROM Player; In relation algebra: Player Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 8 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde Clerc Beauxis Nallet Chabal Rokocoko Howlett Carter Evans Contepomi Hernandez Borges Corleto Gitean Mortlock Mitchel Wilkinson Habana Montgomery Little Dickinson scrumhalf wing flyhalf lock back row wing wing flyhalf flyhalf flyhalf fullback wing wing ... ... ... ... ... ... ... ... Projection Projection on columns: name the columns in the SELECT Position clause (there can be duplicates) Ex.: list all positions of players SELECT position FROM Player; 9 scrumhalf wing flyhalf lock back row wing wing flyhalf flyhalf flyhalf fullback wing wing ... ... ... ... ... ... ... ... Projection Projection on columns: name the columns in the SELECT Position clause (there can be duplicates) Ex.: list all positions of players SELECT position FROM Player; In relation algebra: πposition ( Player ) 10 scrumhalf wing flyhalf lock back row wing wing flyhalf flyhalf flyhalf fullback wing wing ... ... ... ... ... ... ... ... Projection Projection on columns: name the columns in the SELECT Position clause (there can be duplicates) Ex.: list all positions of players SELECT position FROM Player; In relation algebra: πposition ( Player ) Projection without duplicates SELECT DISTINCT position FROM Player; 11 Position scrumhalf wing flyhalf lock back row fullback ... scrumhalf wing flyhalf lock back row wing wing flyhalf flyhalf flyhalf fullback wing wing ... ... ... ... ... ... ... ... Selection SELECT <listOfColumns> FROM <listOfTables> WHERE <condition>; -- Projection (the SELECT clause) -- Selection (the WHERE clause) 12 Selection SELECT <listOfColumns> FROM <listOfTables> WHERE <condition>; -- Projection (the SELECT clause) -- Selection (the WHERE clause) Ex.: list of French players' names SELECT FirstName, LastName FROM Player WHERE Team-ID = 'FRA'; 13 FirstName LastName Jean-Baptiste Vincent Lionel Lionel Sébastien Elissalde Clerc Beauxis Nallet Chabal Selection SELECT <listOfColumns> FROM <listOfTables> WHERE <condition>; -- Projection (the SELECT clause) -- Selection (the WHERE clause) Ex.: list of French players' names SELECT FirstName, LastName FROM Player WHERE Team-ID = 'FRA'; FirstName LastName Jean-Baptiste Vincent Lionel Lionel Sébastien Elissalde Clerc Beauxis Nallet Chabal In relational algebra: πFirstName,LastName( σTeam-ID='FRA' ( Player )) 14 Ordering Results SELECT <listOfColumns> FROM <listOfTables> WHERE <condition> ORDER BY <column> [<order>] [,<column> [<order>]] … -- <order> is either ASC or DESC (ascending or descending) 15 Ordering Results SELECT <listOfColumns> FROM <listOfTables> WHERE <condition> ORDER BY <column> [<order>] [,<column> [<order>]] … -- <order> is either ASC or DESC (ascending or descending) Ex.: list of French players' names, alphabetically ordered SELECT FirstName, LastName FROM Player WHERE Team-ID = 'FRA' ORDER BY LastName ASC; 16 FirstName LastName Lionel Sébastien Vincent Jean-Baptiste Lionel Beauxis Chabal Clerc Elissalde Nallet Combination of Conditions Boolean connectors: AND, OR, NOT (negation) Comparison operators: =, <, >, <=, >=, <> Ex.: matches played by the French team SELECT Match-ID,Team1-ID,Team2-ID,Date,NbSpectators FROM Match WHERE Team1-ID = 'FRA' OR Team2-ID = 'FRA'; Match-ID Team1-ID Team2-ID Date NbSpectators 41 FRA NZL 06/10/2007 7335 45 ENG FRA 13/10/2007 8000 47 FRA ARG 19/10/2007 4787 17 Combination of Conditions Boolean connectors: AND, OR, NOT (negation) Comparison operators: =, <, >, <=, >=, <> Ex.: matches played by the French team SELECT Match-ID,Team1-ID,Team2-ID,Date,NbSpectators FROM Match WHERE Team1-ID = 'FRA' OR Team2-ID = 'FRA'; Match-ID Team1-ID Team2-ID Date NbSpectators 41 FRA NZL 06/10/2007 73350 45 ENG FRA 13/10/2007 80000 47 FRA ARG 19/10/2007 47870 In relational algebra: π ( Match-ID,Team1-ID,Team2-ID,Date,NbSpectators σ 18 (Match)) Team1-ID='FRA' or Team2-ID='FRA' Combination of Conditions (contd.) Ex.: List of matches played by the French team and having more than 60000 spectators SELECT Match-ID,Team1-ID,Team2-ID,Date,NbSpectators FROM Match WHERE (Team1-ID = 'FRA' OR Team2-ID = 'FRA') AND NbSpectators > 60000; Match-ID Team1-ID Team2-ID Date NbSpectators 41 FRA NZL 06/10/2007 73350 45 ENG FRA 13/10/2007 80000 19 Combination of Conditions (contd.) Ex.: List of matches played by the French team and having more than 60000 spectators SELECT Match-ID,Team1-ID,Team2-ID,Date,NbSpectators FROM Match WHERE (Team1-ID = 'FRA' OR Team2-ID = 'FRA') AND NbSpectators > 60000; Match-ID Team1-ID Team2-ID Date NbSpectators 41 FRA NZL 06/10/2007 73350 45 ENG FRA 13/10/2007 80000 In relational algebra: π Match-ID,Team1-ID,Team2-ID,Date,NbSpectators (σ (Team1-ID='FRA' or Team2-ID='FRA') and NbSpectators>60000 20 (Match) ) Special Conditions The "empty" value NULL can be tested with a special syntax: SELECT <listOfColumns> FROM <listOfTables> WHERE <columnName> IS NULL; or SELECT <listOfColumns> FROM <listOfTables> WHERE <columnName> IS NOT NULL; ! Do not write: WHERE <columnName> = NULL; 21 Cartesian Product Name the tables in the FROM clause First player SELECT * FROM Player,Has-Played; Player-ID 1 1 1 1 1 1 1 1 1 1 ... 2 2 2 2 Team-ID FirstName LastName Position Player-ID Match-ID NbPoints FRA FRA FRA FRA FRA FRA FRA FRA FRA FRA ... FRA FRA FRA FRA Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste Jean-Baptiste ... Vincent Vincent Vincent Vincent Elissalde Elissalde Elissalde Elissalde Elissalde Elissalde Elissalde Elissalde Elissalde Elissalde ... Clerc Clerc Clerc Clerc scrumhalf scrumhalf scrumhalf scrumhalf scrumhalf scrumhalf scrumhalf scrumhalf scrumhalf scrumhalf ... wing wing wing wing 1 1 1 2 2 2 3 6 7 8 ... 1 1 1 2 41 45 47 41 45 47 41 41 41 41 ... 41 45 47 41 21 15 8 12 6 7 10 12 15 20 ... 21 15 8 12 In relation algebra: Player ⊗ Has-Played Second player 22 Join Cartesian product followed by a selection Ex.: List of players who played match #41 SELECT Team-ID,LastName,Match-ID FROM Player,Has-Played WHERE Player.Player-ID = Has-Played.Player-ID AND Match-ID = 41; Team-ID LastName Match-ID FRA FRA FRA NZL NZL NZL NZL Elissalde Clerc Beauxis Rokocoko Howlett Carter Evans 41 41 41 41 41 41 41 23 Join Cartesian product followed by a selection Ex.: List of players who played match #41 SELECT Team-ID,LastName,Match-ID FROM Player,Has-Played WHERE Player.Player-ID = Has-Played.Player-ID AND Match-ID = 41; Team-ID LastName Match-ID FRA FRA FRA NZL NZL NZL NZL Elissalde Clerc Beauxis Rokocoko Howlett Carter Evans 41 41 41 41 41 41 41 In relational algebra πTeam-ID,LastName,Match-ID ) 24 Join of more tables Ex.: Points scored by the All Blacks players SELECT FROM WHERE AND AND AND LastName,TeamName,Match-ID,Date, Team1-ID,Team2-ID,NbPoints Match,Player,Has-Played,Team Player.Player-ID = Has-Played.Player-ID Match.Match-ID = Has-Played.Match-ID Team.Team-ID = Player.Team-ID TeamName = 'All Blacks'; LastName TeamName Match-ID Date Team1-ID Team2-ID NbPoints Rokocoko Howlett Carter Evans All Blacks All Blacks All Blacks All Blacks 41 41 41 41 06/10/07 06/10/07 06/10/07 06/10/07 FRA FRA FRA FRA NZL NZL NZL NZL 12 15 20 25 25 Join of more tables Ex.: Points scored by the All Blacks players SELECT FROM WHERE AND AND AND LastName,TeamName,Match-ID,Date, Team1-ID,Team2-ID,NbPoints Match,Player,Has-Played,Team Player.Player-ID = Has-Played.Player-ID Match.Match-ID = Has-Played.Match-ID Team.Team-ID = Player.Team-ID TeamName = 'All Blacks'; LastName TeamName Match-ID Date Team1-ID Team2-ID NbPoints Rokocoko Howlett Carter Evans All Blacks All Blacks All Blacks All Blacks 41 41 41 41 06/10/07 06/10/07 06/10/07 06/10/07 FRA FRA FRA FRA NZL NZL NZL NZL 12 15 20 25 In relational algebra πLastName,TeamName,Match-ID,Date,Team1-ID,Team2-ID,NbPoints (σPlayer.Player-ID=Has-Played.Player-ID(Match⊗Player⊗Has-Played⊗Team) and Match.Match-ID=Has-Played.Match-ID and Team.Team-ID=Player.Team-ID and TeamName="All Blacks" 26 Nested Queries By use of set-operators: IN NOT IN –- set membership –- set non-membership IN is an operator that determine whether the value of an expression is equal to one or more values belonging to a set. Ex.: List of players who played match #41, with projection onto the player's last name LastName Elissalde Clerc Beauxis Rokocoko Howlett Carter Evans SELECT LastName FROM Player WHERE Player-ID IN (SELECT Player-ID FROM Has-Played WHERE Match-ID = 41); 27 Nested Queries (contd.) NOT IN –- set non-membership NOT IN is often used instead of the difference operation Ex.: Players who have not played any match at all SELECT Player-ID FROM Player WHERE Player-ID NOT IN (SELECT Player-ID FROM Has-Played); Player-ID 4 5 10 11 12 13 14 15 16 20 21 28 Nested Queries (contd.) NOT IN –- set non-membership NOT IN is often used instead of the difference operation Ex.: Players who have not played any match at all SELECT Player-ID FROM Player WHERE Player-ID NOT IN (SELECT Player-ID FROM Has-Played); Player-ID In relational algebra πPlayer-ID(Player) – πPlayer-ID(Has-Played) 29 4 5 10 11 12 13 14 15 16 20 21 Other SQL operations selection of rows that belong to either the first or the second relation (with deletion of duplicates). UNION Ex.: Names of players and coaches of the French team (SELECT LastName FROM Player WHERE Team-ID = 'FRA') UNION (SELECT Coach FROM Team WHERE Team-ID = 'FRA'); LastName Elissalde Clerc Beauxis Nallet Chabal Laporte 30 Other SQL operations selection of rows that belong to either the first or the second relation (with deletion of duplicates). UNION Ex.: Names of players and coaches of the French team (SELECT LastName FROM Player WHERE Team-ID = 'FRA') UNION (SELECT Coach FROM Team WHERE Team-ID = 'FRA'); LastName Elissalde Clerc Beauxis Nallet Chabal Laporte Other operators: INTERSECTION selection of rows that belong to both relations MINUS selection of the rows of one relation which do not belong to the second one (difference) 31 Aggregates COUNT MAX MIN SUM AVG Number of values of a set Maximum value of a set of values Minimum value of a set of values Sum of a set of values Average of a set of values Ex.: Total number of players SELECT COUNT(*) AS NbPlayer FROM Player; NbPlayer 21 32 Aggregates COUNT MAX MIN SUM AVG Number of values of a set Maximum value of a set of values Minimum value of a set of values Sum of a set of values Average of a set of values Ex.: Total number of players SELECT COUNT(*) AS NbPlayer FROM Player; NbPlayer 21 Ex.: Maximum number of spectators SELECT MAX(NbSpectators) AS MaxAttendance FROM Match; 33 MaxAttendance 80000 Aggregates (contd.) COUNT MAX MIN SUM AVG Number of values of a set Maximum value of a set of values Minimum value of a set of values Sum of a set of values Average of a set of values Ex.: Average number of spectators SELECT AVG(NbSpectators) AS AvgSpectators FROM Match; AvgSpectators 70027 Or SELECT SUM(NbSpectators) / COUNT(*) FROM Match; Maths operations (+, -, *, /) can be used 34 Partitioning relations make a partition of the result, based on an attribute; aggregates are computed for each group in the partition GROUP BY Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde scrumhalf Clerc wing Beauxis flyhalf Nallet lock Chabal back row Rokocoko wing Howlett wing Carter flyhalf Evans flyhalf Contepomi flyhalf Hernandez fullback Borges wing Corleto wing Gitean ... Mortlock ... Mitchel ... Wilkinson ... Habana ... Montgomery ... Little ... 35 Dickinson ... SELECT COUNT(*) AS NbPlayer FROM Player GROUP BY Team-ID; Partitioning relations make a partition of the result, based on an attribute; aggregates are computed for each group in the partition GROUP BY Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde scrumhalf Clerc wing Beauxis flyhalf Nallet lock Chabal back row Rokocoko wing Howlett wing Carter flyhalf Evans flyhalf Contepomi flyhalf Hernandez fullback Borges wing Corleto wing Gitean ... Mortlock ... Mitchel ... Wilkinson ... Habana ... Montgomery ... Little ... 36 Dickinson ... SELECT COUNT(*) AS NbPlayer FROM Player GROUP BY Team-ID; Partitioning relations make a partition of the result, based on an attribute; aggregates are computed for each group in the partition GROUP BY Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde scrumhalf Clerc wing Beauxis flyhalf Nallet lock Chabal back row Rokocoko wing Howlett wing Carter flyhalf Evans flyhalf Contepomi flyhalf Hernandez fullback Borges wing Corleto wing Gitean ... Mortlock ... Mitchel ... Wilkinson ... Habana ... Montgomery ... Little ... 37 Dickinson ... SELECT COUNT(*) AS NbPlayer FROM Player GROUP BY Team-ID; This is a partition Partitioning relations make a partition of the result, based on an attribute; aggregates are computed for each group in the partition GROUP BY Player-ID 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 Team-ID FirstName LastName Position FRA FRA FRA FRA FRA NZL NZL NZL NZL ARG ARG ARG ARG AUS AUS AUS ENG RSA RSA FJI SCO Jean-Baptiste Vincent Lionel Lionel Sébastien Joe Doug Dan Nick Felipe Juan Martin Lucas Ignacio Matt Stirling Drew Jonny Bryan Percy Nicky Alasdair Elissalde scrumhalf Clerc wing Beauxis flyhalf Nallet lock Chabal back row Rokocoko wing Howlett wing Carter flyhalf Evans flyhalf Contepomi flyhalf Hernandez fullback Borges wing Corleto wing Gitean ... Mortlock ... Mitchel ... Wilkinson ... Habana ... Montgomery ... Little ... 38 Dickinson ... 5 SELECT COUNT(*) AS NbPlayer FROM Player GROUP BY Team-ID; 4 NbPlayer 4 3 1 2 1 1 5 4 4 3 1 2 1 1 Partitioning relations (contd.) GROUP BY make a partition of the result, based on an attribute; aggregates are computed for each group in the partition Ex.: For each player list the sum of scored points SELECT LastName,SUM(NbPoint) AS Points FROM Has-Played,Player WHERE Has-Played.Player-ID = Player.Player-ID GROUP BY Player-ID; LastName Elissalde Clerc Beauxis Rokocoko Howlett Carter Evans Wilkinson Habana Montgomery 39 Points 45 25 24 12 15 20 25 52 30 76 Partitioning relations (contd.) HAVING apply a condition on aggregates Ex.: List total score for players having played more than 2 matches (and order by points scored) SELECT LastName,SUM(NbPoint) AS Points FROM Has-Played,Player WHERE Has-Played.Player-ID = Player.Player-ID GROUP BY Player-ID LastName HAVING COUNT(*) > 2 Elissalde ORDER BY Points; Clerc Wilkinson Habana Montgomery 40 Points 45 25 52 30 76 Updating a database Inserting a row: INSERT INTO <tableName>[(<field1>,<field2>, … )] VALUES (<value1>,<value2>, … ); Ex.: Insert new player Paterson INSERT INTO Player(Player-ID, Team-ID, FirstName, LastName, Position) VALUES (22,'SCO','Chris','Paterson','wing'); 41 Updating a database Inserting a row: INSERT INTO <tableName>[(<columnName>,<columnName>, … )] VALUES (<value1>,<value2>, … ); Ex.: Insert new player Paterson INSERT INTO Player(Player-ID, Team-ID, FirstName, LastName, Position) VALUES (22,'SCO','Chris','Paterson','wing'); Updating values of fields in an existing row: UPDATE <tableName> SET <columnName> = <value1>, <columnName> = <value2>, … WHERE <condition>; Ex.: Paterson changed position UPDATE Player SET Position = 'fullback' WHERE Player-ID = 22; 42 Updating a database (contd.) Deleting a row: DELETE FROM <tableName> WHERE <condition>; Ex.: Chabal retired from rugby DELETE FROM Player WHERE Player-ID = 5; 43 Tables Management Creating tables: CREATE TABLE <tableName> (<column1> <description>, <column2> <description>, …); Ex.: table Match CREATE TABLE Match (Match-ID INTEGER PRIMARY KEY, Team1-ID TEXT FOREIGN KEY REFERENCES Team(Team-ID), Team2-ID TEXT FOREIGN KEY REFERENCES Team(Team-ID), Date DATETIME, Score1 INTEGER, Score2 INTEGER, Venue TEXT, NbSpectators INTEGER); 44 Tables Management Deleting tables: DROP <tableName>; Creating/deleting an index, adding integrity constraints, manageing multiple databases, setting default values and much more... CREATE [UNIQUE] INDEX <indexName> ON <tableName> (<columnName>, … ); DROP INDEX <indexName>; (column_definition) CONSTRAINT <constraintName> (some_other_stuff) ( CREATE | DROP ) SCHEMA <schemaName>; (column_definition) DEFAULT <defaultValue> VIEW | TRANSACTION | DOMAIN | CHECK | … SQL is a complete programming language! 45