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<!-- {{does not work with|ELLA ALGOL 68|Any (with appropriate job cards) - tested with release 1.8.8d.fc9.i386 - needed formatted transput}} -->
<langsyntaxhighlight lang="algol68">MODE ADDRESS = STRUCT(
INT page,
FLEX[50]CHAR street,
Line 60:
# set(address table, page OF john brown,1,1); - standard set page not available in a68g #
put bin(address table, john brown);
close(address table)</langsyntaxhighlight>
Output:
<pre>
Line 71:
 
=={{header|Apache Derby}}==
<langsyntaxhighlight SQLlang="sql">create table Address (
addrID integer primary key generated by default as identity,
addrStreet varchar(50) not null,
Line 78:
addrZip char(10) not null
);
</syntaxhighlight>
</lang>
'''Interactive session:
<pre style="height: 30em; overflow: scroll">
Line 126:
 
</pre>
 
=={{header|Arturo}}==
 
<syntaxhighlight lang="rebol">db: open.sqlite "addresses.db"
 
query db {!sql
CREATE TABLE address (
addrID INTEGER PRIMARY KEY AUTOINCREMENT,
addrStreet TEXT NOT NULL,
addrCity TEXT NOT NULL,
addrState TEXT NOT NULL,
addrZIP TEXT NOT NULL
)
}
 
close db</syntaxhighlight>
 
=={{header|AWK}}==
Line 133 ⟶ 149:
This version uses the AWK pipe, 'getline' function, and the sqlite3 command line program.
 
<langsyntaxhighlight lang="awk">#!/bin/sh -f
awk '
BEGIN {
Line 165 ⟶ 181:
}
 
'</langsyntaxhighlight>
 
=={{header|BASIC256}}==
<syntaxhighlight lang="vbnet"># create a new database file or open it
dbopen "addresses.sqlite3"
 
# delete the existing table - If it is a new database, the error is captured
onerror errortrap
dbexecute "drop table addresses;"
offerror
 
# create the table
dbexecute "CREATE TABLE addresses (addrID integer, addrStreet string, addrCity string, addrState string, addrZIP string);"
 
# close all
dbclose
end
 
errortrap:
# accept the error - show nothing - return to the next statement
return</syntaxhighlight>
 
=={{header|C}}==
{{libheader|SQLite}}
<langsyntaxhighlight lang="c">#include <stdio.h>
#include <stdlib.h>
#include <sqlite3.h>
Line 200 ⟶ 236:
}
return EXIT_SUCCESS;
}</langsyntaxhighlight>
 
=={{header|C++}}==
This example completes the task with a random access file, instead of using an external library.
<syntaxhighlight lang="c++">
#include <cstdint>
#include <fstream>
#include <iostream>
#include <string>
#include <vector>
 
class Address {
public:
Address(const std::string& aName, const std::string& aStreet, const std::string& aCity,
const std::string& aState, const std::string& aZipCode)
: name(aName), street(aStreet), city(aCity), state(aState), zipCode(aZipCode) {}
 
std::string address_record() {
std::string record;
record += fixed_length(name, 30);
record += fixed_length(street, 30);
record += fixed_length(city, 15);
record += fixed_length(state, 5);
record += fixed_length(zipCode, 10);
return record;
}
 
static constexpr uint32_t RECORD_LENGTH = 90;
 
private:
std::string fixed_length(const std::string& text, const uint64_t& size) {
return ( text.length() > size ) ? text.substr(0, size) : text + std::string(size - text.length(), ' ');
}
 
std::string name, street, city, state, zipCode;
};
 
int main() {
std::vector<Address> addresses = {
Address("FSF Inc.", "51 Franklin Street", "Boston", "MA", "02110-1301"),
Address("The White House", "1600 Pennsylvania Avenue NW", "Washington", "DC", "20500"),
Address("National Security Council", "1700 Pennsylvania Avenue NW", "Washington", "DC", "20500")
};
 
std::fstream file("addresses.dat", std::ios::app | std::ios::in | std::ios::out);
if ( ! file ) {
std::cerr << "Error. Cannot open file." << std::endl;
exit(EXIT_FAILURE);
}
 
for ( uint64_t i = 0; i < addresses.size(); ++i ) {
file.seekp(i * Address::RECORD_LENGTH, std::ios::beg);
file << addresses[i].address_record();
}
 
for ( uint64_t i = 0; i < addresses.size(); ++i ) {
file.seekg(i * Address::RECORD_LENGTH, std::ios::beg);
char ch;
std::string address;
while ( address.length() < Address::RECORD_LENGTH ) {
file.get(ch);
address += ch;
}
std::cout << address << std::endl;
}
 
file.close();
}
</syntaxhighlight>
{{ out }}
<pre>
FSF Inc. 51 Franklin Street Boston MA 02110-1301
The White House 1600 Pennsylvania Avenue NW Washington DC 20500
National Security Council 1700 Pennsylvania Avenue NW Washington DC 20500
</pre>
 
=={{header|Clojure}}==
<langsyntaxhighlight lang="clojure">(require '[clojure.java.jdbc :as sql])
; Using h2database for this simple example.
(def db {:classname "org.h2.Driver"
Line 216 ⟶ 326:
[:state "varchar"]
[:zip "varchar"]))
</syntaxhighlight>
</lang>
 
=={{header|DB2 UDB}}==
<lang sql>CREATE TABLE Address (
addrID Integer generated by default as identity,
addrStreet Varchar(50) not null,
addrCity Varchar(25) not null,
addrState Char(2) not null,
addrZIP Char(10) not null
)</lang>
 
=={{header|EchoLisp}}==
<langsyntaxhighlight lang="scheme">
(lib 'struct)
(lib 'sql)
Line 245 ⟶ 346:
[0] 15 Gallubert 29 rue de l'Ermitage Paris Seine 75020
[1] 16 Brougnard 666 rue des Cascades Paris Seine 75042
</syntaxhighlight>
</lang>
 
 
=={{header|Erlang}}==
Erlang has built in databases. This is the the one with most features: Mnesia. There are database connectors to other databases, too.
<syntaxhighlight lang="erlang">
<lang Erlang>
-module( table_creation ).
 
Line 260 ⟶ 360:
mnesia:start(),
mnesia:create_table( address, [{attributes, record_info(fields, address)}] ).
</syntaxhighlight>
</lang>
{{out}}
<pre>
Line 269 ⟶ 369:
=={{header|FunL}}==
FunL has built-in support for H2 and comes bundled with the H2 database engine.
<langsyntaxhighlight lang="funl">import db.*
import util.*
 
Line 305 ⟶ 405:
print( TextTable.apply(result) )
 
conn.close()</langsyntaxhighlight>
 
{{out}}
Line 317 ⟶ 417:
+----+-----------------+---------------------------+----------+--------+---------+------------+----------------+
</pre>
 
=={{header|FreeBASIC}}==
{{libheader|SQLite}}
<syntaxhighlight lang="vbnet">#include once "sqlite3.bi"
 
Const NULL As Any Ptr = 0
 
Dim As sqlite3 Ptr db
Dim As zstring Ptr errMsg
 
If sqlite3_open(":memory:", @db) <> SQLITE_OK Then
Print "Could not open database: "; sqlite3_errmsg(db)
sqlite3_close(db)
Sleep
End 1
End If
 
Dim As String sql = "CREATE TABLE address(" _
& "addrID INTEGER PRIMARY KEY AUTOINCREMENT," _
& "addrStreet TEXT NOT NULL," _
& "addrCity TEXT NOT NULL," _
& "addrState TEXT NOT NULL," _
& "addrZIP TEXT NOT NULL);"
 
If sqlite3_exec(db, sql, NULL, NULL, @errMsg) <> SQLITE_OK Then
Print "Error creating table: "; *errMsg
sqlite3_free(errMsg)
Else
Print "Table created successfully"
End If
 
sqlite3_close(db)
 
Sleep</syntaxhighlight>
 
=={{header|Go}}==
<langsyntaxhighlight lang="go">package main
 
import (
Line 365 ⟶ 499:
fmt.Println(field, storage)
}
}</langsyntaxhighlight>
{{out}}
<pre>
Line 380 ⟶ 514:
{{libheader|sqlite-simple}}
 
<langsyntaxhighlight lang="haskell">{-# LANGUAGE OverloadedStrings #-}
 
import Database.SQLite.Simple
Line 394 ⟶ 528:
\addrZIP TEXT NOT NULL \
\)"
close db</langsyntaxhighlight>
 
=={{header|J}}==
J is a programming language, not a database, but it ships with a database built in the programming language called [[j:JDB|JDB]]. Using that, assuming <tt>hd</tt> is your database, then:
 
<langsyntaxhighlight lang="j"> Create__hd 'Address';noun define
addrID autoid;
addrStreet varchar
Line 405 ⟶ 539:
addrState char
addrZip char
)</langsyntaxhighlight>
 
Of course J can connect external databases too, using e.g. [[j:Studio/ODBC%20Basics|ODBC]]. See the [[j:DB|list of J database topics]].
 
=={{header|Java}}==
Java can connect with many databases.
This example completes the task with a random access file, instead of using an external library.
<syntaxhighlight lang="java">
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.channels.FileChannel;
import java.nio.file.Path;
import java.nio.file.StandardOpenOption;
 
public final class TableCreationPostalAddresses {
 
public static void main(String[] args) throws IOException {
Address[] addresses = new Address[] {
new Address("FSF Inc.", "51 Franklin Street", "Boston", "MA", "02110-1301"),
new Address("The White House", "1600 Pennsylvania Avenue NW", "Washington", "DC", "20500"),
new Address("National Security Council", "1700 Pennsylvania Avenue NW", "Washington", "DC", "20500")
};
Path path = Path.of("addresses.dat");
FileChannel fileChannel = FileChannel.open(path, StandardOpenOption.CREATE,
StandardOpenOption.READ,
StandardOpenOption.WRITE);
for ( int i = 0; i < addresses.length; i++ ) {
byte[] data = addresses[i].addressRecord().getBytes();
ByteBuffer writeBuffer = ByteBuffer.wrap(data);
fileChannel.position(i * Address.RECORD_LENGTH);
while ( writeBuffer.hasRemaining() ) {
fileChannel.write(writeBuffer);
}
}
for ( int i = 0; i < addresses.length; i++ ) {
fileChannel.position(i * Address.RECORD_LENGTH);
ByteBuffer readBuffer = ByteBuffer.allocate(Address.RECORD_LENGTH);
fileChannel.read(readBuffer);
System.out.println( new String(readBuffer.array()) );
}
fileChannel.close();
}
}
 
final class Address {
public Address(String aName, String aStreet, String aCity, String aState, String aZipCode) {
name = aName; street = aStreet; city = aCity; state = aState; zipCode = aZipCode;
}
public String addressRecord() {
String record = "";
record += String.format("%-30s", name);
record += String.format("%-30s", street);
record += String.format("%-15s", city);
record += String.format("%-5s", state);
record += String.format("%-10s", zipCode);
return record;
}
public static final int RECORD_LENGTH = 30 + 30 + 15 + 5 + 10;
private String name, street, city, state, zipCode;
}
</syntaxhighlight>
{{ out }}
<pre>
FSF Inc. 51 Franklin Street Boston MA 02110-1301
The White House 1600 Pennsylvania Avenue NW Washington DC 20500
National Security Council 1700 Pennsylvania Avenue NW Washington DC 20500
</pre>
 
=={{header|Julia}}==
{{works with|Julia|0.6}}
 
<langsyntaxhighlight lang="julia">using SQLite
 
db = SQLite.DB()
Line 422 ⟶ 629:
addrState TEXT NOT NULL,
addrZIP TEXT NOT NULL)
""")</langsyntaxhighlight>
 
=={{header|Kotlin}}==
Rather than use an external database, we use the built-in RandomAccessFile class for his task. The data used is the same as for the REXX entry.
<syntaxhighlight lang="scala">// Version 1.2.41
 
import java.io.File
import java.io.RandomAccessFile
 
fun String.toFixedLength(len: Int) = this.padEnd(len).substring(0, len)
 
class Address(
var name: String,
var street: String = "",
var city: String = "",
var state: String = "",
var zipCode: String = "",
val autoId: Boolean = true
) {
var id = 0L
private set
 
init {
if (autoId) id = ++nextId
}
 
companion object {
private var nextId = 0L
 
const val RECORD_LENGTH = 127 // including 2 bytes for UTF string length
 
fun readRecord(file: File, id: Long): Address {
val raf = RandomAccessFile(file, "r")
val seekPoint = (id - 1) * RECORD_LENGTH
raf.use {
it.seek(seekPoint)
val id2 = it.readLong()
if (id != id2) {
println("Database is corrupt")
System.exit(1)
}
val text = it.readUTF()
val name = text.substring(0, 30).trimEnd()
val street = text.substring(30, 80).trimEnd()
val city = text.substring(80, 105).trimEnd()
val state = text.substring(105, 107)
val zipCode = text.substring(107).trimEnd()
val a = Address(name, street, city, state, zipCode, false)
a.id = id
return a
}
}
}
 
override fun toString() =
"Id : ${this.id}\n" +
"Name : $name\n" +
"Street : $street\n" +
"City : $city\n" +
"State : $state\n" +
"Zip Code : $zipCode\n"
 
fun writeRecord(file: File) {
val raf = RandomAccessFile(file, "rw")
val text =
name.toFixedLength(30) +
street.toFixedLength(50) +
city.toFixedLength(25) +
state +
zipCode.toFixedLength(10)
val seekPoint = (id - 1) * RECORD_LENGTH
raf.use {
it.seek(seekPoint)
it.writeLong(id)
it.writeUTF(text)
}
}
}
 
fun main(args: Array<String>) {
val file = File("addresses.dat")
val addresses = listOf(
Address("FSF Inc.", "51 Franklin Street", "Boston", "MA", "02110-1301"),
Address("The White House", "The Oval Office, 1600 Pennsylvania Avenue NW", "Washington", "DC", "20500")
)
// write the address records to the file
addresses.forEach { it.writeRecord(file) }
 
// now read them back in reverse order and print them out
for (i in 2 downTo 1) {
println(Address.readRecord(file, i.toLong()))
}
}</syntaxhighlight>
 
{{output}}
<pre>
Id : 2
Name : The White House
Street : The Oval Office, 1600 Pennsylvania Avenue NW
City : Washington
State : DC
Zip Code : 20500
 
Id : 1
Name : FSF Inc.
Street : 51 Franklin Street
City : Boston
State : MA
Zip Code : 02110-1301
</pre>
 
=={{header|Lasso}}==
Lasso has excellent support for connecting to and handling databases.
 
<langsyntaxhighlight Lassolang="lasso">// connect to a Mysql database
inline(-database = 'rosettatest', -sql = "CREATE TABLE `address` (
`id` int(11) NOT NULL auto_increment,
Line 438 ⟶ 754:
") => {^
error_msg
^}</langsyntaxhighlight>
Output:
<pre>No error</pre>
Line 444 ⟶ 760:
=={{header|Lua}}==
Using LJSQLite3 - compatible with LuaJIT and supplied in the ULua distribution.
<langsyntaxhighlight Lualang="lua">-- Import module
local sql = require("ljsqlite3")
 
Line 461 ⟶ 777:
 
-- Explicitly close connection
conn:close()</langsyntaxhighlight>
 
=={{header|Mathematica}}/{{header|Wolfram Language}}==
<langsyntaxhighlight Mathematicalang="mathematica">TableCreation="CREATE TABLE address (
addrID INTEGER PRIMARY KEY AUTOINCREMENT,
addrStreet TEXT NOT NULL, addrCity TEXT NOT NULL,
addrState TEXT NOT NULL, addrZIP TEXT NOT NULL )";
 
Needs["DatabaseLink`"]
conn=OpenSQLConnection[ JDBC[ "mysql","databases:1234/conn_test"], "Username" -> "test"]
SQLExecute[ conn, TableCreation]</langsyntaxhighlight>
 
=={{header|MySQL}}==
<langsyntaxhighlight lang="mysql">CREATE TABLE `Address` (
`addrID` int(11) NOT NULL auto_increment,
`addrStreet` varchar(50) NOT NULL default '',
Line 481 ⟶ 796:
`addrZIP` char(10) NOT NULL default '',
PRIMARY KEY (`addrID`)
);</langsyntaxhighlight>
 
=={{header|NetRexx}}==
Line 488 ⟶ 803:
{{libheader|Apache Derby}}
This sample creates a table in an embedded Apache Derby database.
<langsyntaxhighlight NetRexxlang="netrexx">/* NetRexx */
options replace format comments java crossref symbols binary
 
Line 548 ⟶ 863:
createTable()
return
</syntaxhighlight>
</lang>
 
=={{header|Nim}}==
<langsyntaxhighlight lang="nim">import db_sqlite as db
#import db_mysql as db
#import db_postgres as db
Line 568 ⟶ 883:
addrState TEXT NOT NULL,
addrZIP TEXT NOT NULL)"""
c.close()</langsyntaxhighlight>
 
=={{header|ooRexx}}==
<langsyntaxhighlight lang="oorexx">/* REXX ***************************************************************
* 17.05.2013 Walter Pachl translated from REXX version 2
* nice try? improvements are welcome as I am rather unexperienced
Line 611 ⟶ 926:
Say ' state -->' self~state
Say ' zip -->' self~zip
Say copies('-',40)</langsyntaxhighlight>
Output is as for REXX version 2
 
=={{header|Oracle}}==
<langsyntaxhighlight lang="sql">CREATE SEQUENCE seq_address_pk START BY 100 INCREMENT BY 1
/
CREATE TABLE address (
Line 625 ⟶ 940:
CONSTRAINT address_pk1 PRIMARY KEY ( addrID )
)
/</langsyntaxhighlight>
 
=={{header|Oz}}==
Line 634 ⟶ 949:
 
The SQLite version that comes with Ozsqlite does not understand "AUTOINCREMENT".
<langsyntaxhighlight lang="oz">declare
[Sqlite] = {Module.link ['x-ozlib:/sqlite/Sqlite.ozf']}
 
Line 655 ⟶ 970:
finally
{Sqlite.close DB}
end</langsyntaxhighlight>
 
=={{header|Perl}}==
<langsyntaxhighlight lang="perl">use DBI;
 
my $db = DBI->connect('DBI:mysql:database:server','login','password');
Line 674 ⟶ 989:
 
my $exec = $db->prepare($statment);
$exec->execute;</langsyntaxhighlight>
 
This example uses mysql, but DBI supports a extensive list of database drivers. See [http://dbi.perl.org/ dbi.perl.org] for more info.
 
=={{header|Perl 6Phix}}==
{{libheader|SQLite}}
{{works with|Rakudo|2017.09}}
<!--<syntaxhighlight lang="phix">(notonline)-->
 
<span style="color: #008080;">without</span> <span style="color: #008080;">js</span> <span style="color: #000080;font-style:italic;">-- (file i/o)</span>
Like Perl DBI, Perl 6 DBIish supports many different databases. An example using SQLite is shown here.
<span style="color: #008080;">include</span> <span style="color: #000000;">pSQLite</span><span style="color: #0000FF;">.</span><span style="color: #000000;">e</span>
 
<span style="color: #008080;">constant</span> <span style="color: #000000;">sqlcode</span> <span style="color: #0000FF;">=</span> <span style="color: #008000;">"""
<lang perl6>use DBIish;
CREATE TABLE address (
 
addrID INTEGER PRIMARY KEY AUTOINCREMENT,
my $dbh = DBIish.connect('SQLite', :database<addresses.sqlite3>);
addrStreet TEXT NOT NULL,
 
addrCity TEXT NOT NULL,
my $sth = $dbh.do(q:to/STATEMENT/);
addrState TEXT NOT NULL,
CREATE TABLE Address (
addrZIP TEXT NOT NULL)"""</span>
addrID INTEGER PRIMARY KEY AUTOINCREMENT,
addrStreet TEXT NOT NULL,
<span style="color: #000000;">sqlite3</span> <span style="color: #000000;">db</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">sqlite3_open</span><span style="color: #0000FF;">(</span><span style="color: #008000;">"address.sqlite"</span><span style="color: #0000FF;">)</span>
addrCity TEXT NOT NULL,
<span style="color: #004080;">integer</span> <span style="color: #000000;">res</span> <span style="color: #0000FF;">=</span> <span style="color: #000000;">sqlite3_exec</span><span style="color: #0000FF;">(</span><span style="color: #000000;">db</span><span style="color: #0000FF;">,</span><span style="color: #000000;">sqlcode</span><span style="color: #0000FF;">)</span>
addrState TEXT NOT NULL,
<span style="color: #008080;">if</span> <span style="color: #000000;">res</span><span style="color: #0000FF;">=</span><span style="color: #000000;">SQLITE_OK</span> <span style="color: #008080;">then</span>
addrZIP TEXT NOT NULL
<span style="color: #000000;">sqlite3_close</span><span style="color: #0000FF;">(</span><span style="color: #000000;">db</span><span style="color: #0000FF;">)</span>
)
<span style="color: #008080;">else</span>
STATEMENT</lang>
<span style="color: #000080;font-style:italic;">-- can show eg "sqlite3_exec error: 1 [table address already exists]"</span>
<span style="color: #7060A8;">printf</span><span style="color: #0000FF;">(</span><span style="color: #000000;">1</span><span style="color: #0000FF;">,</span><span style="color: #008000;">"sqlite3_exec error: %d [%s]\n"</span><span style="color: #0000FF;">,{</span><span style="color: #000000;">res</span><span style="color: #0000FF;">,</span><span style="color: #000000;">sqlite_last_exec_err</span><span style="color: #0000FF;">})</span>
<span style="color: #008080;">end</span> <span style="color: #008080;">if</span>
<!--</syntaxhighlight>-->
 
=={{header|PHP}}+SQLite==
{{trans|Python}}
not tested
<langsyntaxhighlight lang="php"><?php
$db = new SQLite3(':memory:');
$db->exec("
Line 711 ⟶ 1,030:
)
");
?></langsyntaxhighlight>
 
=={{header|PicoLisp}}==
Line 719 ⟶ 1,038:
 
Define an "address" entity, and create the database:
<langsyntaxhighlight PicoLisplang="picolisp">(class +Adr +Entity)
(rel nm (+Sn +Idx +String)) # Name [Soundex index]
(rel str (+String)) # Street
Line 730 ⟶ 1,049:
(rel jpg (+Blob)) # Photo
 
(pool "address.db") # Create database</langsyntaxhighlight>
Create a first entry, and show it:
<langsyntaxhighlight PicoLisplang="picolisp">(show
(new! '(+Adr) # Create a record
'nm "FSF Inc."
'str "51 Franklin St"
'st "Boston, MA"
'zip "02110-1301" ) )</langsyntaxhighlight>
Output:
<pre>{2} (+Adr)
Line 745 ⟶ 1,064:
nm "FSF Inc."</pre>
Interactive "select":
<langsyntaxhighlight PicoLisplang="picolisp">(select nm zip +Adr nm "FSF") # Select name, zip from Adr where name = FSF*</langsyntaxhighlight>
Output:
<pre>"FSF Inc." "02110-1301" {2}</pre>
 
=={{header|PostgreSQL}}==
<langsyntaxhighlight lang="sql">CREATE SEQUENCE address_seq start 100;
CREATE TABLE address (
addrID int4 PRIMARY KEY DEFAULT nextval('address_seq'),
Line 757 ⟶ 1,076:
state varchar(2) not null,
zip varchar(20) not null
);</langsyntaxhighlight>
 
 
 
=={{header|PureBasic}}+SQLite==
Easiest approach with sqlite. Further possible: PostgresQL or each other over ODBC.
<lang Purebasic>
UseSQLiteDatabase()
Procedure CheckDatabaseUpdate(Database, Query$)
Result = DatabaseUpdate(Database, Query$)
If Result = 0
Print(DatabaseError())
EndIf
ProcedureReturn Result
EndProcedure
openconsole()
DatabaseFile$ = GetCurrentDirectory()+"/rosettadb.sdb"
If CreateFile(0, DatabaseFile$)
CloseFile(0)
If OpenDatabase(0, DatabaseFile$, "", "")
CheckDatabaseUpdate(0,"CREATE TABLE address ( addrID INTEGER PRIMARY KEY AUTOINCREMENT, addrStreet TEXT Not NULL, addrCity TEXT Not NULL, addrState TEXT Not NULL, addrZIP TEXT Not NULL)")
CloseDatabase(0)
Else
print("Can't open database !")
EndIf
Else
print("Can't create the database file !")
EndIf
closeconsole()
</lang>
 
=={{header|PowerShell}}+SQLite==
{{libheader|SQLite}}
<syntaxhighlight lang="powershell">
<lang PowerShell>
Import-Module -Name PSSQLite
 
Line 824 ⟶ 1,114:
## View the data
Invoke-SqliteQuery -DataSource $DataSource -Query "SELECT * FROM SSADDRESS" | FormatTable -AutoSize
</syntaxhighlight>
</lang>
{{Out}}
<pre>
Line 831 ⟶ 1,121:
1 Monster Cookie 666 Sesame St Holywood CA 90013
</pre>
 
=={{header|PureBasic}}+SQLite==
Easiest approach with sqlite. Further possible: PostgresQL or each other over ODBC.
<syntaxhighlight lang="purebasic">
UseSQLiteDatabase()
Procedure CheckDatabaseUpdate(Database, Query$)
Result = DatabaseUpdate(Database, Query$)
If Result = 0
Print(DatabaseError())
EndIf
ProcedureReturn Result
EndProcedure
openconsole()
DatabaseFile$ = GetCurrentDirectory()+"/rosettadb.sdb"
If CreateFile(0, DatabaseFile$)
CloseFile(0)
If OpenDatabase(0, DatabaseFile$, "", "")
CheckDatabaseUpdate(0,"CREATE TABLE address ( addrID INTEGER PRIMARY KEY AUTOINCREMENT, addrStreet TEXT Not NULL, addrCity TEXT Not NULL, addrState TEXT Not NULL, addrZIP TEXT Not NULL)")
CloseDatabase(0)
Else
print("Can't open database !")
EndIf
Else
print("Can't create the database file !")
EndIf
closeconsole()
</syntaxhighlight>
 
=={{header|Python}}+SQLite==
{{libheader|SQLite}}
<langsyntaxhighlight lang="python">>>> import sqlite3
>>> conn = sqlite3.connect(':memory:')
>>> conn.execute('''CREATE TABLE address (
Line 844 ⟶ 1,161:
)''')
<sqlite3.Cursor object at 0x013265C0>
>>> </langsyntaxhighlight>
 
=={{header|Racket}}==
Line 850 ⟶ 1,167:
Racket supports a bunch of DBs, this is using sqlite, which is almost always available. Also included some further demonstrations beyond just the table creation:
 
<syntaxhighlight lang="racket">
<lang Racket>
#lang at-exp racket
 
Line 901 ⟶ 1,218:
 
(disconnect postal)
</syntaxhighlight>
</lang>
 
Output:
Line 917 ⟶ 1,234:
National Security Council, 1700 Pennsylvania Avenue NW, Washington.
</pre>
 
=={{header|Raku}}==
(formerly Perl 6)
{{works with|Rakudo|2017.09}}
 
Like Perl DBI, Raku DBIish supports many different databases. An example using SQLite is shown here.
 
<syntaxhighlight lang="raku" line>use DBIish;
 
my $dbh = DBIish.connect('SQLite', :database<addresses.sqlite3>);
 
my $sth = $dbh.do(q:to/STATEMENT/);
DROP TABLE IF EXISTS Address;
CREATE TABLE Address (
addrID INTEGER PRIMARY KEY AUTOINCREMENT,
addrStreet TEXT NOT NULL,
addrCity TEXT NOT NULL,
addrState TEXT NOT NULL,
addrZIP TEXT NOT NULL
)
STATEMENT</syntaxhighlight>
 
=={{header|REXX}}==
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╚════════════════════════════════════════════════════════════════════════════════════════╝
</pre>
<langsyntaxhighlight lang="rexx">/*REXX program creates, builds, and displays a table of given U.S.A. postal addresses.*/
@usa.=; @usa.0=0; $='@USA.' /*initialize array and first value.*/
@usa.0=@usa.0 + 1 /*bump the unique number for usage.*/
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call value $ || @usa.0'.upHist' , userid() date() time()
end
return</langsyntaxhighlight>
{{out|output|text=&nbsp; (data used is within the REXX program):}}
<pre>
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===version 2===
<langsyntaxhighlight lang="rexx">/* REXX ***************************************************************
* 17.05.2013 Walter Pachl
* should work with every REXX.
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Say copies('-',40)
End
Return</langsyntaxhighlight>
<pre> name --> FSF Inc.
addr --> 51 Franklin Street
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zip --> 20500
----------------------------------------</pre>
 
=={{header|Ring}}==
<syntaxhighlight lang="ring">
# Project : Table creation/Postal addresses
 
load "stdlib.ring"
oSQLite = sqlite_init()
 
sqlite_open(oSQLite,"mytest.db")
 
sql = "CREATE TABLE ADDRESS (" +
"addrID INT NOT NULL," +
"street CHAR(50) NOT NULL," +
"city CHAR(25) NOT NULL," +
"state CHAR(2), NOT NULL" +
"zip CHAR(20) NOT NULL);"
 
sqlite_execute(oSQLite,sql)
</syntaxhighlight>
 
=={{header|Ruby}}==
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PStore implements a persistent key store with transactions. This is a NoSQL database. Each transaction reads the entire database into memory, and then writes it again, so PStore is not good for large databases.
 
<langsyntaxhighlight lang="ruby">require 'pstore'
require 'set'
 
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db[:next] ||= 0 # Next available Address#id
db[:ids] ||= Set[] # Set of all ids in db
end</langsyntaxhighlight>
 
To put an Address inside this PStore:
 
<langsyntaxhighlight lang="ruby">db.transaction do
id = (db[:next] += 1)
db[id] = Address.new(id,
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"Washington", "DC", 20500)
db[:ids].add id
end</langsyntaxhighlight>
 
===With SQLite===
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{{libheader|sqlite3-ruby}}
<langsyntaxhighlight lang="ruby">require 'sqlite3'
 
db = SQLite3::Database.new(':memory:')
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addrZIP TEXT NOT NULL
)
")</langsyntaxhighlight>
 
=={{header|Run BASIC}}==
AQLite
<langsyntaxhighlight lang="runbasic">sqliteconnect #mem, ":memory:" ' make handle #mem
mem$ = "
CREATE TABLE address (
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addrZIP TEXT NOT NULL
)"
#mem execute(mem$)</langsyntaxhighlight>
 
=={{header|SAS}}==
<langsyntaxhighlight lang="sql">
 
PROC SQL;
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)
;QUIT;
</syntaxhighlight>
</lang>
 
=={{header|Scheme}}==
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This example works with Chicken Scheme, using its sql-de-lite library:
 
<langsyntaxhighlight lang="scheme">
(use sql-de-lite)
 
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(close-database *db*) ; finally, close database
</syntaxhighlight>
</lang>
 
=={{header|Sidef}}==
{{trans|Perl}}
<langsyntaxhighlight lang="ruby">require('DBI');
 
var db = %s'DBI'.connect('DBI:mysql:database:server','login','password');
Line 1,180 ⟶ 1,537:
 
var exec = db.prepare(statment);
exec.execute;</langsyntaxhighlight>
 
=={{header|SQL PL}}==
{{works with|Db2 LUW}}
<syntaxhighlight lang="sql pl">
CREATE TABLE Address (
addrID Integer generated by default as identity,
addrStreet Varchar(50) not null,
addrCity Varchar(25) not null,
addrState Char(2) not null,
addrZIP Char(10) not null
);
</syntaxhighlight>
Output:
<pre>
db2 -t
db2 => CREATE TABLE Address (
db2 (cont.) => addrID INTEGER generated BY DEFAULT AS IDENTITY,
db2 (cont.) => addrStreet VARCHAR(50) NOT NULL,
db2 (cont.) => addrCity VARCHAR(25) NOT NULL,
db2 (cont.) => addrState CHAR(2) NOT NULL,
db2 (cont.) => addrZIP CHAR(10) NOT NULL
db2 (cont.) =>);
DB20000I The SQL command completed successfully.
db2 => DESCRIBE TABLE Address;
 
Data type Column
Column name schema Data type name Length Scale Nulls
------------------------------- --------- ------------------- ---------- ----- ------
ADDRID SYSIBM INTEGER 4 0 No
ADDRSTREET SYSIBM VARCHAR 50 0 No
ADDRCITY SYSIBM VARCHAR 25 0 No
ADDRSTATE SYSIBM CHARACTER 2 0 No
ADDRZIP SYSIBM CHARACTER 10 0 No
 
5 record(s) selected.
</pre>
 
=={{header|SQLite}}==
Purely in Sqlite3.
<langsyntaxhighlight lang="sqlite3">
CREATE TABLE address_USA (
address_ID INTEGER PRIMARY KEY,
Line 1,192 ⟶ 1,585:
address_Zip INTEGER
);
</syntaxhighlight>
</lang>
 
=={{header|Stata}}==
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While Stata is not a database language ''per se'', it is not uncommon to store address data in a Stata dataset. The following creates an empty dataset.
 
Other possibilities include using the '''[https://www.stata.com/help.cgi?odbc odbc]''' command or a C or Java plugin to connect to a database. See the FAQ for more details: '''[https://www.stata.com/support/faqs/data-management/using-plugin-to-connect-to-database/ How do I connect to a database by using a Stata plugin?]'''.
 
<langsyntaxhighlight lang="stata">clear
gen str8 addrid=""
gen str50 street=""
Line 1,206 ⟶ 1,599:
gen str2 state=""
gen str20 zip=""
save address</langsyntaxhighlight>
 
=={{header|Tcl}}+SQLite==
{{libheader|SQLite}}
<langsyntaxhighlight lang="tcl">package require sqlite3
 
sqlite3 db address.db
Line 1,221 ⟶ 1,614:
addrZIP TEXT NOT NULL
)
}</langsyntaxhighlight>
 
=={{header|Transact-SQL}} (MSSQL)==
<langsyntaxhighlight lang="sql">CREATE TABLE #Address (
addrID int NOT NULL Identity(1,1) PRIMARY KEY,
addrStreet varchar(50) NOT NULL ,
Line 1,231 ⟶ 1,624:
addrZIP char(10) NOT NULL
)
drop table #Address</langsyntaxhighlight>
 
=={{header|VBScript}}==
<syntaxhighlight lang="vb">
<lang vb>
Option Explicit
 
Line 1,249 ⟶ 1,642:
.Close
End With
</syntaxhighlight>
</lang>
 
=={{header|Visual FoxPro}}==
<langsyntaxhighlight lang="vfp">
CLOSE DATABASES ALL
CREATE DATABASE usdata.dbc
Line 1,264 ⟶ 1,657:
OPEN DATABASE usdata.dbc
USE address.dbf SHARED
</syntaxhighlight>
</lang>
 
=={{header|Wren}}==
===Version 1===
{{libheader|Wren-dynamic}}
{{libheader|Wren-fmt}}
{{libheader|Wren-sort}}
We use the same simple database format for this task as we did for the [[Table_creation#Wren]] task.
<syntaxhighlight lang="wren">import "./dynamic" for Enum, Tuple
import "./fmt" for Fmt
import "./sort" for Cmp, Sort
 
var FieldType = Enum.create("FieldType", ["text", "num", "int", "bool"])
 
var Field = Tuple.create("Field", ["name", "fieldType", "maxLen"])
 
class Table {
construct new(name, fields, keyIndex) {
_name = name
_fields = fields
_keyIndex = keyIndex // the zero based index of the field to sort on
_records = []
_fmt = ""
for (f in _fields) {
var c = f.name.count
var l = f.maxLen.max(c)
if (f.fieldType == FieldType.text ||f.fieldType == FieldType.bool) {
l = -l
}
_fmt = _fmt + "$%(l)s "
}
_fmt = _fmt.trimEnd()
}
 
name { _name }
 
showFields() {
System.print("Fields for %(_name) table:\n")
Fmt.print("$-20s $4s $s", "name", "type", "maxlen")
System.print("-" * 33)
for (f in _fields) {
Fmt.print("$-20s $-4s $d", f.name, FieldType.members[f.fieldType], f.maxLen)
}
}
 
cmp_ { Fn.new { |r1, r2|
return (Num.fromString(r1[_keyIndex]) - Num.fromString(r2[_keyIndex])).sign
}}
 
addRecord(record) {
var items = record.split(", ")
_records.add(items)
Sort.insertion(_records, cmp_) // move new record into sorted order
}
 
showRecords() {
System.print("Records for %(_name) table:\n")
var h = Fmt.slwrite(_fmt, _fields.map { |f| f.name }.toList)
System.print(h)
System.print("-" * h.count)
for (r in _records) {
Fmt.lprint(_fmt, r)
}
}
 
removeRecord(key) {
for (i in 0..._records.count) {
if (_records[i][_keyIndex] == key.toString) {
_records.removeAt(i)
return
}
}
}
 
findRecord(key) {
for (i in 0..._records.count) {
if (_records[i][_keyIndex] == key.toString) {
return _records[i].join(", ")
}
}
return null
}
}
 
var fields = []
fields.add(Field.new("id", FieldType.int, 2))
fields.add(Field.new("name", FieldType.text, 25))
fields.add(Field.new("street", FieldType.text, 50))
fields.add(Field.new("city", FieldType.text, 15))
fields.add(Field.new("state", FieldType.text, 2))
fields.add(Field.new("zipCode", FieldType.text, 10))
 
// create table
var table = Table.new("Addresses", fields, 0)
 
// add records in unsorted order
table.addRecord("2, FSF Inc., 51 Franklin Street, Boston, MA, 02110-1301")
table.addRecord("1, The White House, The Oval Office 1600 Pennsylvania Avenue NW, Washington, DC, 20500")
table.addRecord("3, National Security Council, 1700 Pennsylvania Avenue NW, Washington, DC, 20500")
 
// show the table's fields
table.showFields()
System.print()
// show the table's records in sorted order
table.showRecords()
 
// find a record by key
System.print("\nThe record with an id of 2 is:")
System.print(table.findRecord(2))
 
// delete a record by key
table.removeRecord(1)
System.print("\nThe record with an id of 1 will be deleted, leaving:\n")
table.showRecords()</syntaxhighlight>
 
{{out}}
<pre>
Fields for Addresses table:
 
name type maxlen
---------------------------------
id int 2
name text 25
street text 50
city text 15
state text 2
zipCode text 10
 
Records for Addresses table:
 
id name street city state zipCode
---------------------------------------------------------------------------------------------------------------------
1 The White House The Oval Office 1600 Pennsylvania Avenue NW Washington DC 20500
2 FSF Inc. 51 Franklin Street Boston MA 02110-1301
3 National Security Council 1700 Pennsylvania Avenue NW Washington DC 20500
 
The record with an id of 2 is:
2, FSF Inc., 51 Franklin Street, Boston, MA, 02110-1301
 
The record with an id of 1 will be deleted, leaving:
 
Records for Addresses table:
 
id name street city state zipCode
---------------------------------------------------------------------------------------------------------------------
2 FSF Inc. 51 Franklin Street Boston MA 02110-1301
3 National Security Council 1700 Pennsylvania Avenue NW Washington DC 20500
</pre>
 
===Version 2===
{{libheader|Wren-table}}
The above module provides a more generic way to create simple databases and was not available when the first version was written.
<syntaxhighlight lang="wren">import "./table" for Table, FieldInfo, Records
 
var fields = [
FieldInfo.new("id", Num),
FieldInfo.new("name", String),
FieldInfo.new("street", String),
FieldInfo.new("city", String),
FieldInfo.new("state", String),
FieldInfo.new("zipCode", String)
]
 
// create table
var table = Table.new("Addresses", fields)
 
// add records in unsorted order
table.addAll([
[2, "FSF Inc.", "51 Franklin Street", "Boston", "MA", "02110-1301"],
[1, "The White House", "The Oval Office 1600 Pennsylvania Avenue NW", "Washington", "DC", "20500"],
[3, "National Security Council", "1700 Pennsylvania Avenue NW", "Washington", "DC", "20500"]
])
 
var colWidths = [2, 25, 43, 10, 2, 10] // for listings
 
// show the table's fields
table.listFields()
System.print()
 
// sort the records by 'id' and show them
var sortFn = Fn.new { |s, t| s[0] < t[0] }
var records = table.sortedRecords(sortFn)
Records.list(table.fields, records, "Records for %(table.name) table:\n", colWidths)
 
// find a record by key
System.print("\nThe record with an id of 2 is:")
System.print(table.find(2))
 
// delete a record by key
table.remove(1)
System.print("\nThe record with an id of 1 will be deleted, leaving:\n")
records = table.sortedRecords(sortFn)
Records.list(table.fields, records, "Records for %(table.name) table:\n", colWidths)</syntaxhighlight>
 
{{out}}
<pre>
Fields for Addresses table:
 
name kind
------- ------
id Num
name String
street String
city String
state String
zipCode String
 
Records for Addresses table:
 
id name street city st zipCode
-- ------------------------- ------------------------------------------- ---------- -- ----------
1 The White House The Oval Office 1600 Pennsylvania Avenue NW Washington DC 20500
2 FSF Inc. 51 Franklin Street Boston MA 02110-1301
3 National Security Council 1700 Pennsylvania Avenue NW Washington DC 20500
 
The record with an id of 2 is:
[2, FSF Inc., 51 Franklin Street, Boston, MA, 02110-1301]
 
The record with an id of 1 will be deleted, leaving:
 
Records for Addresses table:
 
id name street city st zipCode
-- ------------------------- ------------------------------------------- ---------- -- ----------
2 FSF Inc. 51 Franklin Street Boston MA 02110-1301
3 National Security Council 1700 Pennsylvania Avenue NW Washington DC 20500
</pre>
 
=={{header|zkl}}==
{{trans|AWK}}
Interact with SQLite via the command line.
<langsyntaxhighlight lang="zkl">const NM="address.db";
dbExec(NM,"create table address (street, city, state, zip);");</langsyntaxhighlight>
<langsyntaxhighlight lang="zkl">fcn dbExec(db,qry){ dbErrorCheck(dbMakeQuery(db,qry),String(db," : ",qry)) }
fcn dbMakeQuery(db,qry){
qry=dbEscapeQuery(qry) + ";";
Line 1,286 ⟶ 1,905:
throw(Exception.IOError(listOfStrings.concat().strip()));
True
}</langsyntaxhighlight>
PureFox
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