From: <Enregistré par Windows Internet Explorer 8>
Subject: The dBASE interface
Date: Wed, 5 Aug 2009 19:28:53 +0200
MIME-Version: 1.0
Content-Type: multipart/related;
	type="multipart/alternative";
	boundary="----=_NextPart_000_00B0_01CA1602.F7D7C860"
X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.5579

This is a multi-part message in MIME format.

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_t1a.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_t2i.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_t3i.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_t5i.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_t6i.gif
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==

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_t7.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu17_tc1.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu01_tc2.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu17_tc3.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_00C3_01CA1602.F7DA3960"


------=_NextPart_001_00C3_01CA1602.F7DA3960
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_f.htm

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Frameset//EN">
<HTML><HEAD><TITLE>The dBASE interface</TITLE>
<META content=3D"text/html; charset=3DISO-8859-1" =
http-equiv=3DContent-Type>
<META name=3DAuthor content=3D"Jean-Pierre Martel">
<META name=3DGENERATOR content=3D"MSHTML =
8.00.6001.18812"></HEAD><FRAMESET=20
frameSpacing=3D0 border=3D0 frameBorder=3D0 rows=3D66,*><FRAME noResize =
marginHeight=3D0=20
border=3D0 =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_top.htm"=20
frameBorder=3DNO name=3Dheader marginWidth=3D0 scrolling=3Dno><FRAMESET =
frameSpacing=3D0=20
border=3D0 cols=3D185,* frameBorder=3D0><FRAME noResize marginHeight=3D0 =
border=3D0=20
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_fle.htm" =
frameBorder=3DNO=20
name=3Dleft marginWidth=3D0><FRAME marginHeight=3D0=20
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm" =
name=3Dbody=20
marginWidth=3D7></FRAMESET></FRAMESET></HTML>

------=_NextPart_001_00C3_01CA1602.F7DA3960
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_top.htm

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD><TITLE>The dBase Developers Bulletin - No. 16</TITLE>
<META content=3D"text/html; charset=3Diso-8859-1" =
http-equiv=3DContent-Type>
<META name=3DGENERATOR content=3D"MSHTML 8.00.6001.18812">
<META name=3DDESCRIPTION=20
content=3D"An electronic magazine dedicated to dBASE programming">
<META name=3DAuthor content=3D"Jean-Pierre Martel">
<SCRIPT>
<!--
function F_loadRollover(){} function F_roll(){}
//-->
</SCRIPT>

<SCRIPT language=3DJavaScript>
<!--
// Handles rollover images for NN3+ and IE4+
var loaded =3D new Array();

function F_loadRollover(image,imageName) {
	if (image && image.src &&
		(null =3D=3D image.out || typeof(image.out) =3D=3D typeof(void(0)))) {
		s =3D image.src;
		image.out =3D new Image();
		image.out.src =3D s;
		image.over =3D new Image();
		if (imageName.lastIndexOf('/') >=3D 0 || imageName.lastIndexOf('\\') =
>=3D 0) {
			s =3D imageName;
		} else {
			i =3D s.lastIndexOf('/');
			if (i<0) i =3D s.lastIndexOf('\\');
			if (i<0) { s =3D imageName; }
			else	 { s =3D s.substring(0,i+1) + imageName; }
		}
		image.over.src =3D s;
		loaded[image.name] =3D image;
	}
}
function F_roll(imageName,over) {
	if (document.images) {
	if (over) { imageObject =3D "over"; }
	else	  { imageObject =3D "out"; }
	image =3D loaded[imageName];
	if (image) {
		ref =3D eval("image."+imageObject);
		if (ref) image.src =3D eval("image."+imageObject+".src");
	}
	if (window.event)
		window.event.cancelBubble =3D true;
	}
}
// -->
</SCRIPT>
</HEAD>
<BODY leftMargin=3D0 topMargin=3D0 bgColor=3D#ffffcc MARGINHEIGHT=3D"0" =
MARGINWIDTH=3D"0">
<TABLE border=3D0 cellSpacing=3D0 cellPadding=3D0 width=3D746 =
NOF=3D"LY">
  <TBODY>
  <TR vAlign=3Dtop align=3Dleft>
    <TD height=3D10 width=3D239><IMG id=3DBanner1 border=3D0=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_t1a.gif" =
width=3D239=20
      height=3D10></TD>
    <TD height=3D10 width=3D35><A onmouseover=3D"F_roll('Banner2',1)"=20
      onmouseout=3D"F_roll('Banner2',0)"=20
      href=3D"http://www.dbase.com/knowledgebase/dbulletin/buin_.htm"=20
      target=3D_parent><IMG id=3DBanner2 border=3D0 name=3DBanner2=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_t2i.gif" =
width=3D48=20
      onload=3D"F_loadRollover(this,'bu00_t2a.gif')" =
height=3D10></A></TD>
    <TD height=3D10 width=3D62><A onmouseover=3D"F_roll('Banner3',1)"=20
      onmouseout=3D"F_roll('Banner3',0)"=20
      href=3D"http://www.dbase.com/knowledgebase/dbulletin/budo_.htm"=20
      target=3D_parent><IMG id=3DBanner3 border=3D0 name=3DBanner3=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_t3i.gif" =
width=3D74=20
      onload=3D"F_loadRollover(this,'bu00_t3a.gif')" =
height=3D10></A></TD>
    <TD height=3D10 width=3D76><A onmouseover=3D"F_roll('Banner5',1)"=20
      onmouseout=3D"F_roll('Banner5',0)"=20
      href=3D"http://64.132.211.166/Docs/Search.htm" =
target=3DnewWindow1><IMG=20
      id=3DBanner5 border=3D0 name=3DBanner5=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_t5i.gif" =
width=3D90=20
      onload=3D"F_loadRollover(this,'bu00_t5a.gif')" =
height=3D10></A></TD>
    <TD height=3D10 width=3D64><A onmouseover=3D"F_roll('Banner6',1)"=20
      onmouseout=3D"F_roll('Banner6',0)" href=3D"http://www.dbase.com/"=20
      target=3DnewWindow2><IMG id=3DBanner6 border=3D0 name=3DBanner6=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_t6i.gif" =
width=3D79=20
      onload=3D"F_loadRollover(this,'bu00_t6a.gif')" =
height=3D10></A></TD>
    <TD height=3D10 width=3D218><IMG id=3DBanner7 border=3D0=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_t7.gif" =
width=3D218=20
      height=3D10></TD></TR></TBODY></TABLE>
<TABLE border=3D0 cellSpacing=3D0 cellPadding=3D0 width=3D746 =
NOF=3D"LY">
  <TBODY>
  <TR vAlign=3Dtop align=3Dleft>
    <TD height=3D56 width=3D405><IMG id=3DBanner8 border=3D0=20
      alt=3D"The dBASE Developers Bulletin"=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu17_tc1.gif" =
width=3D405=20
      height=3D56></TD>
    <TD height=3D56 width=3D300><IMG id=3DBanner9 border=3D0=20
      alt=3D"The dBASE Developers Bulletin"=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu01_tc2.gif" =
width=3D300=20
      height=3D56></TD>
    <TD height=3D56 width=3D41><IMG id=3DBanner10 border=3D0=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu17_tc3.gif" =
width=3D41=20
      height=3D56></TD></TR></TBODY></TABLE></BODY></HTML>

------=_NextPart_001_00C3_01CA1602.F7DA3960--

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_nul.gif

R0lGODlhAQABAIAAAAAAAAAAACH5BAEBAAAALAAAAAABAAEAAAICRAEAOw==

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_a1s.gif
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==

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_a1.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_b1.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_c1.gif

R0lGODlhpAAeAOYAAP///+7u7gDC/wC//wC3/wCz/wCp/wCk/wCf/wCe6QCb6ACa/wCS/wCQ5ACL
4wCK/wCH4gCE/wCA/gB9+AB89gB63gB33QBz6ABx5ABw2gBs3ABp2ABm0gBi1gBhywBfyABdxABc
0wBZvgBY0QBWuABUtgBTzgBRsABPyABNqwBNqABJuwBJogBJoABHuABGmwBGmABEsgBDrgBDkwBA
qgBAjgA+pQA+igA9owA7ngA5mQA3lgA2kwAzjwAxiAAvgwAsfAArdwAocgAobwAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwA
AAAApAAeAAAH/4BDgoOEhYaHiImKi4yNjkNCkUJBQUCWlj+ZPz6cPZ48Ozs6OTg2NDIxLisoJiYj
IR0bGRUQDQoJDhYhKDE4Oj0+P5aPxMXGx8iQkpSXmJqcPp49oKKkpqiqrK6wsrS2uLq8vsDCQDfn
6Onq6+zt7u/w8fLzNzX2NTMzMPswLy3/LFSoSHGiYAkSJESA+OCBwwYNGC5QkBDhAYMFCA4YKEBg
gIACBhhM0OBBxAkVLV7AMBSgZctiL5M5iimIJk2ZgiQJaQmEJxBNmzp9ChWAVEtsq1q9ijWr1q1c
u3r9CjasUMybOLMOuumyZgCtOSX5vAQUmjRQLa2dSpV0G1NvT//DSSVnaV1LdHdvuAyA1+W5vHcD
882bbu/fwXwP6018ODFgv4sFR17ct6W9ljAw7w0gcG+JvR9aPtxbsSWClhw9ghRJ0iRKlSy/eh1y
9Wtt2rZz68ZNSDbvri+DcwWee7ZN4cVl7wywvGcAZy19BIjWo+WOtDiOtlzVcoTLDC2/QRU3tVzs
rcV/D+etfrZV4sZlr08uPz37215bNvf5o2VQ6S5dV1R2AciwHQrdiQZeAOLJNQ5V5qhDmGCGReYY
Yoo9JiGGGmrYl4WUUTbhhYotVoNlmgXQT0stBKRCSye0REJLC4nWkkQtPWDaAS119FFII5V0Ukor
vYcee7HRF5//e+4JtySS9znZXpP18bbcfs85lwmAnliHnXYBcBeAdwHIEl5cUT1onpFRPukkcm0e
OeWb6+GWnpRxOnklT3wG8ExLXQYgoFEFHphgmQs2mGZ5dW0IWWOMVdghhiFWJlmIl5aIKWQjlviY
SyeqmKJLne2FUEuhlakBaToGkFGPqgHZ2pCwgdWbnLbmyohOzDRTllDThDJKKWtloxQ3TSlKHl1A
6IoeVs5GSwivlfj6DLDUDHsNW9os1Y1T4CzKLD3klmvuuejWc08+/PTzT4sCEWQQQgox5BBEElFk
EUYapfYja0K+VqS0BBdcCLXN/HQtdcFWQyxS3SILV7jLQmjw/8UGI2ztltgKqxbEx74F7nhzQUgP
YfA86lem8WzGWLr03IOPPvz4A1C8BZ1wUEILNfRQRBNVdFFGG/m4WpCuEfkItIh0lV9vvs0UNcYa
k7XwWR4/zG3I3ypb8pqN0InrXnYqGSXTwx2ntn1MT7tMtVZzzHC2H2/tVtdoVlzOyRRG6nffIlLq
YWF+Z0jip4W/IzO7Nb/rorw609vzvUDrO3S/RssasNJSLzkfbe2RTeV5ozv99JFtux1Jr3H/h7XD
2xp7d7J5f11V2FXi+RvodDrtMul5mi667ohU7Yzcr2tbbFve0k6x7RHKM2mlgXNovabsdEr9o5Ox
3M7iNO9jM7m8A+W8c70+4xv0vkT7e/SsAi8tpenxKXkbflDLOf+d9U1d/NsJ+9XcshY75klsZA5i
VLM6pzY25Y5/+fEflERXtmf5hn6JMJ7CkDcU2C0vYiLzmpoalS6UweyE5DKhO8DXrvE9znySs9fP
8iU0fhUtVgBLWq2OgUGMyaSHGQTgxlzXQeWBbHYTI9kIF+jDJtpKgwJMXt1k17wkJnBcKMyiFreI
DhY27mblmxfPZKg+y9nQfZrTIQwCAQA7

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_sep.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_d1.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_e1.gif
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==

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_f2.gif

R0lGODlhpAAeANUAAP////+iov+bm/+Xl/+Tk/+Pj/+Li/+Cgv96ev9ycv9vb/9qav9lZf9fX/9Y
WP9TU/9PT/9HR/9CQv8+Pv87O/82Nv8yMv8rK/8eHv8aGv8TE/8LC/sLC/EODvAJCe7u7uwICOMH
B98HB9sJCdoHB9cKCtMHB84GBsoGBsYHB8QGBr8GBrsFBbYFBbEFBa4FBakFBaYFBaEFBZ4FBZcE
BI4EBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAApAAeAAAG/0CbcEgsGo/IpHLJ
bDqf0Kh0Sq1ar9jssMbter/gsHhMLpvP6C+NNmvPZLE47PVyte6s1UqFOplIIiEgHhsaGRcTDgsI
BwUGBwkNEhcaHiYqLC8xMjNIH58fWkyhNp9WplGgoEKqpKWqolqoqLFGtFe3TrSms6S9tVBgn2Gq
XMPDxqBdxTXHH83KyMzOws/SysnIy8/J0Nszn28xn3N1dy15e31/gYOFGBUQCwcEAgEBAgYJDxUZ
HCIoMm3qVCTXK1ahVvHylZDhq4YHD/5S6EriQoQRb+2CiHEjMCoGJzrMJbLjyJMYh5S0WFFlq5QW
XX5sUq2mt2vevLSyxo3azf+ePLtt67YzG7ehRI+GCweHHB07ePTw8QNIECENGCxEaJCgkYABBA4o
4KeBAwlMmjjZapmR40UiJFHGnKtR7tqKHvO6Mjizycq3gN02hPhXMNzBbRPLNJnyV98lYphBw5lT
8rSgSY0K1ZZ5slJs2y6DWgNOlZyn59JNZWf1nVZFjAgUOICgQQRKZlW0SEvw8VrfwIMLh8J3uPHH
aZIrX868uRo2buCcNhdVHdV2VzFckPCAQQIEjyA5mKRhgwjdvI+rX8++vfv3VJwnBx0N85mi8tGQ
jh4nRjmo6Ei1TlXuYIUIBFyBdwAkklCywVkCqQXcKgjhxdYSxcGnoUwb9VL/10IXOQbLby51uBdF
i20IGRr1NTMUZ5oVQw1lMOZUGWY+WXYUGPu1IZ1/qFW3GoHZXUDBAwka8AgCDERgQXnnRdjbKA5V
yNFhpWQZIoWKYdkYYiVimaGKU4hIGFu8aHkmhTuRqNiID9lFZhJp4GTnjkkFNSNQZGhDWTY67UlG
j+JMB6BqA2Ln2lZdGUAAAY+MRUEG5gWUni5bMlYQYpnSheaJmgZW4ZyivBXnlYuhZCZfH55oYpik
KlEnnvnVaqtQg0LnY3//pSbgda1hZQEE3h1gwAAFFIBAAg5MgMEGI6TAggsDPTFmrFReiO223M55
67fghkvoj70KmWiwhySyDwgjCyKwAD8YdFACWgMFAQA7

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu00_bak.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12_fle.htm

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD><TITLE>Conception et normalisation des bases de =
donn=E9es</TITLE>
<META content=3D"text/html; charset=3DISO-8859-1" =
http-equiv=3DContent-Type>
<META name=3DAuthor content=3D"Jean-Pierre Martel">
<META name=3DGENERATOR content=3D"MSHTML 8.00.6001.18812">
<SCRIPT>
<!--
function F_loadRollover(){} function F_roll(){}
//-->
</SCRIPT>

<SCRIPT language=3DJavaScript>
<!--
// Handles rollover images for NN3+ and IE4+
var loaded =3D new Array();

function F_loadRollover(image,imageName) {
	if (image && image.src &&
		(null =3D=3D image.out || typeof(image.out) =3D=3D typeof(void(0)))) {
		s =3D image.src;
		image.out =3D new Image();
		image.out.src =3D s;
		image.over =3D new Image();
		if (imageName.lastIndexOf('/') >=3D 0 || imageName.lastIndexOf('\\') =
>=3D 0) {
			s =3D imageName;
		} else {
			i =3D s.lastIndexOf('/');
			if (i<0) i =3D s.lastIndexOf('\\');
			if (i<0) { s =3D imageName; }
			else	 { s =3D s.substring(0,i+1) + imageName; }
		}
		image.over.src =3D s;
		loaded[image.name] =3D image;
	}
}
function F_roll(imageName,over) {
	if (document.images) {
	if (over) { imageObject =3D "over"; }
	else	  { imageObject =3D "out"; }
	image =3D loaded[imageName];
	if (image) {
		ref =3D eval("image."+imageObject);
		if (ref) image.src =3D eval("image."+imageObject+".src");
	}
	if (window.event)
		window.event.cancelBubble =3D true;
	}
}
// -->
</SCRIPT>
</HEAD>
<BODY =
background=3Dhttp://www.dbase.com/knowledgebase/dbulletin/bu00_bak.gif=20
leftMargin=3D0 topMargin=3D0 bgColor=3D#000099 MARGINHEIGHT=3D"0" =
MARGINWIDTH=3D"0">
<TABLE border=3D0 cellSpacing=3D0 cellPadding=3D0 width=3D175 =
NOF=3D"LY">
  <TBODY>
  <TR vAlign=3Dtop align=3Dleft>
    <TD height=3D18 width=3D5><IMG border=3D0=20
      src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_nul.gif" =
width=3D5=20
      height=3D1></TD>
    <TD></TD></TR>
  <TR vAlign=3Dtop align=3Dleft>
    <TD height=3D234></TD>
    <TD width=3D170>
      <TABLE id=3DVerticalNavigationBar2 border=3D0 cellSpacing=3D3 =
cellPadding=3D0=20
      width=3D170 NOF=3D"NB_PYVS">
        <TBODY>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D39 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton1',1)"=20
            onmouseout=3D"F_roll('NavigationButton1',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bulletin.htm"><IMG=20
            id=3DNavigationButton1 border=3D0 name=3DNavigationButton1 =
alt=3DHome=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_a1s.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu00_a3s.gif')"=20
          height=3D39></A></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D30 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton2',1)"=20
            onmouseout=3D"F_roll('NavigationButton2',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_a.htm"><IMG=20
            id=3DNavigationButton2 border=3D0 name=3DNavigationButton2=20
            alt=3D"The dBASE interface &#13;&#10;     by Jean-Pierre =
Martel"=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_a1.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu12_a3.gif')"=20
          height=3D30></A></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D30 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton3',1)"=20
            onmouseout=3D"F_roll('NavigationButton3',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_b.htm"><IMG=20
            id=3DNavigationButton3 border=3D0 name=3DNavigationButton3=20
            alt=3D"The dBASE Tables &#13;&#10;     by Jean-Pierre =
Martel"=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_b1.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu12_b3.gif')"=20
          height=3D30></A></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D30 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton4',1)"=20
            onmouseout=3D"F_roll('NavigationButton4',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_c.htm"><IMG=20
            id=3DNavigationButton4 border=3D0 name=3DNavigationButton4=20
            alt=3D"Design and Normalization &#13;&#10;     by Mike =
Tossy"=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_c1.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu12_c3.gif')"=20
          height=3D30></A></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D9 width=3D164><IMG border=3D0=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu00_sep.gif"=20
            width=3D164 height=3D9></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D30 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton5',1)"=20
            onmouseout=3D"F_roll('NavigationButton5',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_d.htm"><IMG=20
            id=3DNavigationButton5 border=3D0 name=3DNavigationButton5=20
            alt=3D"L'interface de dBASE &#13;&#10;     par Jean-Pierre =
Martel"=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_d1.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu12_d3.gif')"=20
          height=3D30></A></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D30 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton6',1)"=20
            onmouseout=3D"F_roll('NavigationButton6',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_e.htm"><IMG=20
            id=3DNavigationButton6 border=3D0 name=3DNavigationButton6=20
            alt=3D"Les tables dBASE &#13;&#10;     par Jean-Pierre =
Martel"=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_e1.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu12_e3.gif')"=20
          height=3D30></A></TD></TR>
        <TR vAlign=3Dtop align=3Dleft>
          <TD height=3D30 width=3D164><A=20
            onmouseover=3D"F_roll('NavigationButton7',1)"=20
            onmouseout=3D"F_roll('NavigationButton7',0)"=20
            =
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_f.htm"><IMG=20
            id=3DNavigationButton7 border=3D0 name=3DNavigationButton7=20
            alt=3D"Conception des BDD &#13;&#10;    par Mike Tossy"=20
            =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12_f2.gif"=20
            width=3D164 onload=3D"F_loadRollover(this,'bu12_f4.gif')"=20
          =
height=3D30></A></TD></TR></TBODY></TABLE></TD></TR></TBODY></TABLE></BOD=
Y></HTML>

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12anim.gif

R0lGODlhLAAyAMMCAJsJCdre4EqGmKdpbYGPltSZma+Rlevu8IyyvmOYp6U6PP39/XyksNjCw66/
xAAAACH/C05FVFNDQVBFMi4wAwEAAAAh/kKpIFJvbm5pZSBNYWNHcmVnb3INCg0KUHJvZHVjZWQg
Zm9yIHRoZSBkQnVsbGV0aW4gYmVnaW5uZXJzIHNlcmllcy4AIfkEBBQA/wAsAAAAACwAMgAABP9w
yTlRYhiHFdjNIIYgTnBQaDo5QtsS5xEkbm23jqpPtAtPARthc2DVEDsdo/aTBJknp42RTC19UY4w
u7jlqpPrK/vEUsQvcBgK3J7dqYAjkUBsEGxpXtIzo4xHaE1aewc3SChlAgYNDX1jbUwTB2gCgxKG
fpl+hD4BckIOXBJoBm+cijcuCKOYNl+ke6kEGI8ConE2DaeQepqAOH+6vJZkcHxTFHg1u2uox50u
GxLLLs2xz3sLmy5UEsAC1wuCxtpdcKni5JGc2zdN3LfEg7NcqYvKkq6y0LZDFPGiVKJ3DFwCU4lq
1LHVgkGUai5KzAnVioMtA30S0HJgQZUNjQT+cCX5RLKkiUkmU5KsqMMkwJUyDsj8hEKGylYzvGBC
UMkTwI42WFG45yJBFnDydPT5h8JjN3bSdGQiIBTFMlo9BUybNa3mC1gALTWIcsCfrxddIzGNwwCs
OzZchS1Km0Jmikc/4lbAwbJKqbOWppUVq0YpM8D/nqwt3NQPV0BuGe8LBpiOjb5gABF06gJzEp9Q
WzD0JnmBEQLioolFmhqM4shxe7ZO0iOyaqYM6e5gUacmYsGqPJu2FLnt7a73SLdEG1MmHgLHKSC1
PdlpDr3OauimxrnFrlQJ6MZroRuix39IdSPVKr072vVVvzHk6ySEfRE872NodiD/fVoBRAAAIfkE
BQwAAAAsAQAAACsAMgAABP8QyCkdQxhPdLPXVCiOpMSESYqW5clSxvHOEkKby/3atzsluhCPxsht
Qr6dLgkYsmTMpZEUDVJZCUcpgQgErElnwmANyoAA1WjIpTjLBBr6qLMx5vOtcDmZ0uJufBRVIwRf
dERlEoaBPTNvEnlNUiszkpAtimuULENaE4QzTKEic5gtfiEEpyZaaogkUBSSSBSrJykEFwAWKb6/
aUAMDA2aijLGsRMHyIpMea6lURaztJrWoJFR2DOAL58Urh3cQWjFJVNMrFuhCOfJE1+r8GQ63lZs
4CykiZFyY8nIhTgEzxYLXbMKAix37UaCezUKStTx7pEIgjcgTjyoz5hAJYoo1mkjUW9jqlIb7ZHQ
mKZSmWYJb8DUEeAjxhIfcoJoklOEFp0cEByIAAAh+QQFDAAAACwAAAAAKwAyAAAE/xDISREFZ9pL
nZMLJ1JBYprMdaIMsyZAMM7Iuk3vXa7fLNoq4OSQ83GEOKTEtWoYKUpAMXi6PaNTaLTC6ElPKW31
wqyGSK+EozYWmxBnyStMBfTKb2oe9EV5k3tyWEomAAwIDXESDid2enSCaStdI5NHbYAoABuNlWAy
blZ9gTEvlyigi4NmFVmMYKcJojmKo4WqsHqzW2luDKmRsnrCscSjvx2rpMGBprrDorZqoW7GzHCt
lm7J2pnWtpR6S8wOZ68rMgFshZAUB+sJlDAtCH+GLXTzKQjATwsZTwIKHOgjA8AR70wBs5Cm3bZw
EohIijfMYbZDHPCksTLHh6YfKZ4+aIThzeISij9EwZvGzGS8aEaydDzS5aCIWoaQzJzAyGTATiVb
+XyyDtJMgDAHluGo7YQTglTazYE39MpLRRO7Qf0Sbc5IewJRFUOWpp9Vl916KUX5o9tImx6H7pRW
tRSDp55yeSMZ10oIRj3mMuPLQWLWfFolrCTM7TAowQAWaBRx7nBQDjuc7ZWEmEfGiR0u2POwhqcG
fhUc/akXAQAh+QQFDAAAACwAAAAAKwAyAAAE/xDISZ2904HLMQgHJY4UY5oIhZxoygAsKZenRte3
OctOLLIM2wQo3El6uFxwoQIGjBmfsrghQo8sKpEZlcpSISTqlxWtyiPgSxwkJ4esVPo0OdPdpiI7
xYXrpngvIQFxM15VJ3J+aokyC3ENFYcwcRZ2f3Njkm8SW0qZDIqLoG2BRYWbmIulSi+Looh5pn2d
VrWaXaq3soGufiRoqw60j0BKkbm+wqTKlLy7zc7Pq7DG1BQHttegKZd3q8pACA20Od06omdKCOxU
V+XYACEHISPwMvT5IvpX8/L8pGCxoQNLgjc+rRqtQyYDhYN6dRhxErcD1w92G6Spovgl1JM0H5sC
TciGat+aGQ4+AoJWEEZLCvcu2SCpsMS4e0bYrLuo8oobBB9p4prms4kujid6FvUzbuekpYROJjSG
08i3kca8RfNpcZuapfJcKmWJxZrPFU2BldRaNJQ9CULdgkNQdUhLB5HiVtNGIhuCmSXgcmzFUEQx
iS+QDU6ma2rNxRHN9hpsDGJCZmrkMCKh1UTPDhs4ZMAAuoKG06IjAAAh+QQFHgACACwAAAAAKgAy
AAAE/1DIOQOlR7jLu+dIGDrL5IihFDIq8nmneGXoVb8duk0H6toyHDCF8eWCwtaoeBsSk01JLzrx
7S4Bx1WgYyJNRhD3pyRLwxRjA/Qci7bTb/m4rFLjdbfLYWGby3A+RG9rfi59dnkCeAg7MSKIaW2J
f4x+XIgBVIBekxpUm0qBmzRfoXdoEwuCEhZynDyplEsHDJuop1YlPpF6o6+Mf1+rXbGbjykZAsSm
xZKTrjKFZ29ZgsJoyI0wYxINj1oCAdbXLj87JR4H6+tS7RiL8Yvs70n2QulCG1TRgg7KFbQJmDZn
AJct/f5wiOHBxwAABBTqwZGCoDgJOxAoAKBAhLJSI+AAgtgiYdWWBgBSRsSmSJI8HBtTDngCspFI
FffEASiQEsAkHTdzShigQMBDADML1Xy5gaQQBQUkpCzq5F+Ll0lQKutpIF1Nq6+EDDC4KqYBHr4E
3jsAoBACAlPRlgvlgSfImAStsLK3UYFfvz0NxuuSUCIHlAUMDCBgoECBmBYYWZ3ztOgJPhIMpIy6
VJk2w1Laaho4ASXHMttmgRbA83Kvo27f3JRFwe8PkQs0I9UElELhXgGOrjRyFKmVoLKK9xyOQPny
Nw19fMxgy1wTzGtoq65Qfe62YDDKCbW3oNeFCAAh+QQFHgACACwIAAQAIgAtAAAE1FDISau9EuHN
u/9gKI6iQ55o+mlq674kKy0wRQxDoRcGPhAMywFEUACOAJ/xOBiiDEingLEceKSWJZaAbKS0FEZ3
4whwwBPx0YtaBswS7hF+WrJMgyNBhBXkAQ1vDXkDXnQjAUsAigOHbUwEkQNGTSIIDDJLQRImS2x1
ehQHDUcKX6GiYyNeS3sTQ0gFjwCuEwFIjiGtFQWlAjIgZrucpHrAGwYUPEhJkkhWArkck8zVCgOb
Ko7HLdw13yDeJNkc4r8b5h8mG+Tg6eDwlvEdGu/z9hURACH5BAUeAAIALAEAAQArADAAAATgUMhJ
qziWuolQ/mCYMYMCnEpxBIXofsU5EPSAAtirH6bCaI4TTvc62ACNTGxIFDVQnyezCTIhP0ZAAJQk
GoSChWX77HqolaMilzmo0J/jYOM6wyfWwYR+f+UtYn0hfxR2gnFQh15CbIWKGVYtgWMNhoJfJ40V
CnqPAgqEFl9bngKYAAYWNi2lEgFWADMER119lhSnQgOkgj8hNASpIGcefK0ukzvHFgqet3DJaAjG
y3AOvNVU1GjbUdnf4OHiEprj5ufo6RLPrbUcH+xE3SLxL/X16uXqtvv9F634QviiEgEAIfkEBQoA
AAAsAAABACwAMAAABP8QyEmrXJaiyrL/IKiMQ2iewFipCuoCSwls0za2r7kUqtfnIZIn8AN6BkUL
7wBy5G6ehkQRmHSME4MQi1XRTFcuAFn5ikPkDPP8QSoKHHZQIZOjoJmwq2MASCkEFEkfeh4Mbip9
ZAoGPIMUAwVVKA54EjR0bgVrFUs5bhY3jjgVWn8voCsqB4uCpJ+DN5MpOI8ZZhNuTF8try9XHae5
P7x2GVq+LbPGEqw3JSNwzBbQgYLSIU5A0NQpzF9uYZh0Ytp1EuEVC7I1Rknpqr6w8vATB5butK/1
Eg22KAVK9AFgbUysfydkaJvgyNuEG9aWoSDysMeNiyQGcpHGRAa2aQ9QVZ0DmQLDMHkaziAZUIKl
KCvTFDQoYE2KLgmFYG4bKaFhtnwTFhIhN81fkCo5J0g0wdLDgYUZlrpAeEOjmFH4pmBEmcMkCBpS
xSSNagEXiggAIfkEBQoAAAAsAAAAACwAMgAABP8QyDkdojOAi7v/HpOIDHJMyMisDLAm8AjOCFtS
gbp2xDAAg0IDcBjOJDaOJGejNH6Unm+wOAJ0SkDA1pIUfFzG12e9srLb5smn4UrI1iTOHfAVJLrW
E0qxZLFzTQZsG25vGCQiCUhngSxAcGETAyd4jxI1chludoyXEkZmK0oLXGicAwYuOwihGDodmkuG
CqstDiBcrqI3m00AtVwOVR15xY2+j3C2I7h9xq/IE1yDQZg6i9GfE7CVWqh8edncvxQ7BABDDQ0F
BOiTPkaSRAEO0BQj6FNBd0C1bz6qzOt3j9yoKd9WDKhVoJq8X1B0abtBJk0XIHuCSOLDC5GcgBb/
J2n4ooCPFA3TyvGiSEXUJAo/FPwz4G0JjFG4wrQgY28HMCiZymyI0SzFKA4DPv1LtEFCTQ8oQYwB
BWDQnQBYowo9EqDaD4RbP2R6cREArn8TpGA4YGHexBYERCgpsBQnJK2FduB1MUIFgWAJOHwBENdn
HWvmbnnoyQHBQlsjfxQuoQHstCyIMKP12W8ygsrL9M5wNThYl8GeQVNaFZbIgCdAOEccpfpK6wn9
ZLoYMtjWBYS9WgvZIDPpOh8l30HieBtIB6/7pqhatWtrvxa68TUZWzbsAJTj3ursbgW2rbsGfYoT
bg2K5ZUXeqq08sMZ7mV5PltiEX5GgeutgBLPXX6iDWXIEd/ZRsEB+MliyzYg/FDCLnSlR5l2/B1x
Rxd7ybShg2aJUx0RU+mUwDsSJoGXUfMB5N6DzkXn2wduTVCFCg9qIh8Le63kE4bjjeJJhh2wyB95
zYFgHwgRAAAh+QQFCgAAACwAAAAALAAyAAAE/xDISQG6dyKLe5ZBJY5SApgJQzFC4ppqIgCzSd7l
q1Ltu0kNG2AAWuAoiFdKpPwBAoYB4WQqWAtHC3VJUSZ+DSvB67gacRtdxbsJFw5bF8KdTaq7Som1
MWkGrGcVKiE5XH1NV3BxXwBhaz0CM3YuO4cvAFcAB14ADk9YeEIMXpWFLpgFfHFaAAsBgXeapGtK
BrYAo5SlFT1CEpOGpgkEAwO9u7SnI7HCQ1KriryXFWmUyS4Ge4UnI70i1cEBnNqWAk6W31vni6gF
RgG9MkwuU8kTAfhrCFchm2wScLxRozIlWyoABKYUa5Rp0ZcADfjEG6jDzBZn7STk8uFoASckF/8t
XipW4I8Vh5gI0fAR6lRDJSThhCFST4KBaP6maVHCIFOIFzEpFBuKw9oodicLLUSH0NONGRKmxFgS
JQcDBsSIoEjBYN0NfPmehKUzISkFlVnugRVRwNYVchVUgkV7L06LClGIcJugasXHaBLioRBQqUEx
nu0A52C1jMqQvUCGID4A1+pTXBZUSJnGZwDixBNGMehLYdNooYeVGfZ8h98TbGgqNMg7hlFnxAte
1ryhGJRW25LVmCywgYEDxUf6LkzgqfMWFXRSkE4LQsJST1j0Rs1mAJfXtJSNMCB6pXsFLDqp81U1
bGnLqdbUS8gdLQHJul7ya5L/Z7+yNyDEc9WRKt/dEMZsCOlx0BMCBvZRWn+EMMMUcCQFz2cITERd
RBak4BQqIVwYC3zK4JBbJ5hR4FMcpeSHTFzoGSdbMQf8xMxKlxQIhAEp/KASAsXwMYs0l3woGyj5
mSAASQUMSWR6QJy0lBIKAcBdIS9uBOUvgrk4QTy78aAfBQ506aUw5ohAIgpGcuBBBxq8iQE1cn4Q
AQAh+QQFCgAAACwAAAAALAAyAAAE/xDISRkFYdpLEXLAwY1XI5wnwaFCQiQCEJ9kLTGserEb4LAC
Q0O0ENkkuR1vIgICGoFA44hE6SZAhkjagKEkXKrMqkRZDo0pwvlsLKhJChCBgQLWS+mIkaDf41g8
UG4AOCwSaG8SP2MagFVWUBljZCGEkHcSXpWBX1AieCcJBkydAleUKWUpBQUAmy4ORh2UfqaoqYdW
thcHLAkgE6Gnq6cEKptHkau4TmkBBz+HIygJU3KckDSSN4c9f9nazTmD2DQdvxfDKkVoWYNGQDEA
ipQE17cFUu7TUpO5FqBhwieujrZTg4a8yoKhCJBgpgJeAyIEDRRphxRmMsOEoZ5cQv8WFGlAAAg7
c+cOJjCY656iYcSofVm4KYWdXEG6TZtFIYCFanRoJLBgwMDKVzBKzoihg6CYEBc+EnSK6CkGGw1a
pdk6wkgUKobOQQSg1CQuU6d4XZUX4ygGA0BWcr1giAApDjXlbTgAl9yCZ0rOUlhJJ+88viYlbK2X
tEZMMGVPIDiAOA6XeI/FHCiQBVrfSoBl3PlHZQG0yIg+i6JXLvPTAxnCxqCsel6UKa6fCgy7EnZt
APo4j7JKwbSmSFE4x0Ex1ipsSATGmpTtlvg1jEJQsm1B3NLxU/rqpXIhr3uUDCmEaCx40PmleXUu
pULFhkqUAziuWJwFyDBpEgJlZlpVGgfRFxdPHDyXWwB2FbjCEjVs1sI3WBiA3iNokTDSdjTYFQBG
qtCVCwe3RcaWCheGE4J/JHAYYnscgFDegy7qkBcJhqUkAQIUquMBAz0CWUqPN9ARAQA7

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf60.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf61.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf62.gif
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==

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf63.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf64.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf65.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf66.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf67.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf68.gif
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==

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf69.gif

R0lGODlh3QCxAOYAAP////7+/v39/fz8/Pv7+/r6+vn5+fj4+Pf39/b29vX19fT09PPz8/Ly8vHx
8fDw8O/v7+7u7u3t7ezs7Ovr6+rq6unp6ejo6Ofn5+bm5uXl5eTk5OPj4+Li4uHh4eDg4N/f397e
3t3d3dzc3Nvb29ra2tjY2NfX19bW1tXV1dTU1NPT09LS0tHR0dDQ0M/Pz87Ozs3NzczMzMvLy8rK
ysnJycjIyMfHx8bGxsXFxcTExMPDw8LCwsHBwcDAwL+/v76+vr29vby8vLq6uri4uLe3t7a2trW1
tbS0tLOzs7KysrGxsbCwsK6urq2traurq6mpqaioqKenp6ampqWlpaSkpKOjo6KioqCgoJ+fn52d
nZubm5mZmZiYmJeXl5aWlpWVlZSUlJOTk5KSkpCQkI6OjoyMjIuLi4qKiomJiYiIiIeHh4aGhoWF
hYSEhIODg4GBgYCAgH9/f35+fn19fXt7e3p6enl5eQAAkAAAfwAAAAAAAAAAAAAAAAAAAAAAACwA
AAAA3QCxAAAH/4AAgoOEhQABiImKi4yNjo+QkZKTlJWWl5iJhpucnZ6CmaGio6SlpqeLn6qejAKu
AgOxsrO0tba3uLm6u7y9vr/AwK8CjavGh4musQQEBc7P0NHS09TV1tfY2drb3N3ez8yyxJrHrIiw
A80GBwcICAnwCQvz9PX29/j5+vv58vz/AAMKrOdvoL14CBO4Y2fAGYEB4xCV25RsQIF1CRQsYNDA
gYMIIEOKHEmypMmTKFOqXMmypcuXLD9GgPDgQQMGCxQ+jDiRUMUCB+Q1eBBBAgUMSDMoXcq0qdOn
UKNKnUq1qtWrWLNaRXrBAoUJEWwuaAhRYk9QAWABVdCgg9u3cP/jyp1Lt67du3jz6t3Lt69fuh86
bMBQQcKDBAcKlA1w9pzFAwocyJlMubLly5gza97MubPnz6BDix6tWY8JEiA4YKDQQEHiAeTKIXoc
WY6P27hz697Nu7fv38CDCx9OvLjx477l6HGRosQHDRIaJDBAYFzPtBYTNNDTAbn37+DDix9PXrkO
Gi1MhLgQgQECxWaPnSMAWXn33j/y69+vn7z//77xJ+CA+QGInHJE/HDDCyZ0YMEDrlXHmGwBZNeA
fboRqOGGHHbo4YAG5vbhiCSWWOBuyj2RRBA3tDACdO7BN9FsBiTwAIa47ZfHjnnwx+OO+gGpY48/
CBkkkfnxOKT/j0n+iGSRTh6ppIBOPhmllFOaqOWIuSmXBRRJ/EDDCR1U4EACMsoGC2QR4HjbkUHC
2WSTSE6ZZZZQWmlkkXP2CSWVVgIq55+EFrrloR92qQcYWTxBBA4shIABBAoYANuMAtDHgARu+uDn
kkveKaSodfZopKl1fjrqk58OuOeqfu6J6KwaKloGF1Qk0QMMJcB4QHWYakpBp622CiSqfI76J7Jz
nlooka9Cy2qeG0bb56nT0qptf7gpx8YYWDQRxAwmcDABA78KQKEABSDQwLDciWjooM0uSyiyzC6b
6r2qSvsjltlamyepeG5Lq6JwlLHFE0PYgIIHrL2nrnxpFZCA/wMWEDuvsaZeC63HcDpbr6Gwalgw
ydLKKavB2yo6BxpdRFEEDip8YKbEFGaHscYrz3ssyHze6++/QduLcrE+TiswtkizjKhuytWhxhdU
HKEDCyA8OB0BE64ym8U7xyuvyM9+nHSSgpaNtpSxlkolqCWrDbTTLStaxxpgVIHEDpFecBh1jJij
c8Zi50gnq1cWrXLaTCsuNNGHYytq5HpC3jPdJfam3B1shGFFEjy4MEIGESyAgAGvBG7I1xdf0Knh
BIb4Jua085fhhrthrrkednRuhRI9vEDCBhNIh0A4sbgS2yCsP0D4fbIjV3vtANZ6O4i8Rc2GGFcs
8YMMDVoQQf8DpjNUwEOLdY1Mdg+4Xnj0xpEYP/bw10+ccnSsEcYVTARBQwoh2IAFJAABBjBAAQpJ
zE7igwwB1Kh9r7NfcKwnwQpa8DbKkUMawoAFJwwhBy84QQg6oIHVENABBzydYqyDFoso4AEYiOAF
Z0jDGu7uAzjMoQ51WMLCPIABiFlhfCpUAAVAIIZ6SKISl8jEJjrxiVCMohSnSMUqWvGKWMyiFp34
gRKMMAMUKODWYNM1ItoIiTtMoxpxqIc1uvGNcIyjHOdIxzra8Y5vbGMOiaMHH3zgBSpQjwAL+J6y
DMIVRTyicj6AnD7aUDxtfKQEI4kbOSrHjzywwQtQIIINUAD/QukyiyseiMZGSjI8lDxl9FLpx+Bc
8gNGEIIOYoCCEGRAAjEioyAQ+cJSHseRScRNMH+5xNsMc5jkoSQykTmcJu6GmbJjJisZCZxXQmEJ
Q9ABg8p0JkuZhYgvdB81jQPMYzqyOMvsozlNyRtlrhOd55TmOUNUztxM05V9/IAWpLAEIdhABZKi
1AEMeQgXQkCc7FSiMecpHGguFDwONSY1FeqDiP4mnRa06D2rmU8xaAEKRuDBC3qFy1Cur4gO8CU5
FxrMdFr0oc+sJ0vjqc5yRtSdLaXpSytKU2FSlKdA9alLbUrUoPJ0nK20J4ryeYYv8A8I5OIABdwj
oWQ8EKG//3xoTWH60pvK9J0KfeczJ6rOoIo1pj7lqk3Nmlaj9tSsNkUqUn+KwXy2gQxaYFgNHhax
AkQEnBBkJR+1StGz6sarak0sXHvjTp6ClaH2ZGJbHxtZwxZzsY6Vq1CZ+co4mIELUCDCDWpmJjSR
8WvhXGRC14rZdkIWs86E7WsrSlaWKta1MHVsYWUK1LPmVLFK1Kxuf/pKOqTBC1MwQg5W8AELnAk+
idAZVlcK16/O1qiRve1keXvY2jpWu4d9q0Mp21rymnOjv3nl3ahmNaw517SKGJxqs+pW6160p+a1
L3bt6V3Z+gajst2qf4FrXfQmJ5+9y9veIvVe6LIubEgdbP99NxscyZb3p2K9aX+Het/s6jat8txt
ZTGaTuGmN5+cC4Pe+BaCBp/WjBBmpyobGeEK7tQ/Bt6dH+/QBs8tuMXPfbF8BdvMGXuHyJO87n9Y
+RkU99gKP3ZxfMFGuBo3lJgWpiGSgeNEYk5ynFfc8ZOjHOQpX6zKMjYyOq2sZkiy+aJi9jGLpRxd
Ks+Xum3m45vzfGS5xvGVPJYzg8tc5zPfGZ181nOicWziA8cZynMm9IPRTN9Fc3nPllZ0JfH5aDLD
t9AxrnSmGYvpUVe40Tr+QKAhPehPT/rQEjZ1O0st6/+iOntOFjSQXQ3jKmtROVsMtrCZKIcPDPvY
yJaisYP/WWpAjznSvB4yHo1d6+xV2zu2yU2zc83qXTu417Bu5lnGTW5P+KDc6E63Mc4tiKSeuNPQ
/ra0G6nuep+F3fbOd73x7W5Hq/rZrZa3nbfMZX0b/BP4PrjCJ8LvbcM74EIeOK2fWQg9EGKJC0d3
wj1h8YwvvOGc/reu6fxqgl/04h0HQMpV7vFxb5wTSWy5wkHO0Yd7O+KGNvl/B2HxlK985TJftyp6
HnSD0/zdIu82ycGtc8ZWnOcXL3o5Xg5zqef76P5etacFnvOJH/bpgvi51YW+CqCPndxYT7XW443z
UJMT7CyH+tkRbgyzz70nace1zZc+71/CXex37wTVN2H3/8AfI+9L3bukme51e/496obfxOANUfjI
qwLxUOP21ttO6bdDPu5ht7whJg930R9+ED5osuKjLXF6f17lSjR9IUj/etlfnudWXD3X3Y5O2zPc
9/rGdx11z/lwNxT4p0f+vgcx/KRv3sy856PyV0H76ZMdAM1fO8Sh3/neW9/c39c48+lIfO4bv8Lh
F3z60T7+OZYf1N2X/vpHP/97t1+O7y9544VZ/9n3//eCkH0Ad3Pm13Tt9H+oh4DJh33k53xsV4DL
lkUKCADVN4EUeH9xlH+Mh0dKdm0eiBwCOHKL13eeh4AVOIHC14DaR4Dwd34Fp4AnCIMYCEcaSILe
Z4IWeP97AaiCA8h3red3r4dxwFd9Qlh/Keh+Drh9LWiAFId7chd6vkd7gDd/R4h/SciC+ud6LFd4
lRd4MQh661eFGXiFPth1WgiFlDeE5dCFyCeGNEiGI/iDJYiGpWd6X8iGariDSLiCZRh94lZ7dCh7
MYiHeciAe9iDcWiGQPiEjGh7J0iIhRiCSpeIfnh8tQeJc1eBmBiFM/hGNSiHN0iHm3h2RIiCnehG
n6iIcwh6TVSIMMdE/eeGngiHrKeKoRiLOUh3emiFfEiJ8feHOJiL6reLY9iLtViJ6CeDwsgJsoiK
tLh7v2iJwbiM9EeMb2iM0OiCJ6eM1Oh/1jiL2Fh8TPj/ddzYjQn4jc4YjhB4hrhojoTQjGuUisj4
gtPojheIjvH4jOIYgWFmivbYbqeYj+q4hNPWgR94kMMhic9HkOxohP8IkPioRvIYjclYj+4IjxKp
j+u4iP/3hR0ZkBk5kFnIkWBYhI44dLHXjobIi4h4jBRJj7DHiKMYdFIIiN+HkWk0kdq4c6HHha44
dCqpkA/IkCTpk5x4DDMZeTi5Qzo5jo53iTH3k6+YlEoJkjmpkUS5ikZ5kkgZlDwogi65k05nk2Bo
h2volYcIltnolPxHllTpcXeIliyplvvIjj5HloZXk40YfkupQ025f8ZUeiYpiCgZlQ4ZkVcpkozX
kFT4/5D3uJLF2JJrCZgV5Y//2Jd7hJUjuYqHeZlWyZSauZgk2Zn2iJk49JeMGYaOaZqMFJo2KH8W
aY6siZqj2ZgPOZuuCYqw+ZG3+Zl+mZtdp0V4YJml6ZuZqZjSxoEIuZzfIZRKuJm3SJoXaZynCZzz
uI2x2Y24iZy6CYy86ZmICZrcaYu7WZbmaZZ1953OiYWiOYeGGXZv2XKPGJ93t52SWZeLSHRQR58Z
N5/q+ZWTGJZsGZiAyJ8fV3bneZPU2ZrjeZ08uZcGOnMIGqFWx29FZp0viZ2BmKCWV4ocOn0N92ea
N5TQWZ5mR6FGB5QfqnyYpyi0qZVp2Iaf0Iqd2W9qd/+fGwmjdUiY6amSNqp3GCqWB1igLNqVPupw
QTqglVmO09luZJVlzkaXORqdtgmeFAhml1VXL0qlqtmbTlpZmbel5Smdsol6EQZZURqgk5ma6eeR
RxpyDZqhD/qdxfmlNZeklImiY+emNYqkcSqkTZid1Nii3TKiz8l4W0ScTUqBqoenysmckApPVdSU
sRapF6RH05apfnmhf5pPIupHmhqqojqqd7RIpDptoApHabqQJfejiUeZloptmHqqduSqYZqktuqi
sBqrx2GqtFqrfoqjS/ijDPVKvCpBvvqrDahUr9qpNgpNxnqs9ZOsymqFHqarzjpX0JpP0jqts1qt
Ywj/ptgqrK2Kpduaq906HtQKrrM4YuMqpcOqrcXKrekqO+vKrvkoroVKqWc6r+har+Bxr/h6lde6
r7haY/66qwB7YgMbrsIEpNkacgtrIALbsJkJp52zYoc6ZP+aevQ6sf5RsRbbmiGXYBrLnhyLpCD7
HyJrsR2rXmvAXleTNb54SapHGjibs5sBB23ABm3gBm8ABzoLGt86sn7ZqMaFXMrFXH1YAcCWbFAb
tVIbbEa7RmH2AZ4FWqJFWovHLu4yLCsbtuTxAXeVV0OwVxDTABKjCJmCAAxAAVUbt3I7t+zaVE8V
VVN1PNaRFpoiARpQAi/AA0YABVogBmfQBnFAB3Vg/wd30LiO+7iQG7mSO7mUW7mWe7mYm7mau7mc
27mTawd1QAdx0AZn4FEgJVIkhS4SAgprYkQYEAIqYANCsARSoAVfQAZmkAZrwAY+2wa++7vAG7zC
O7zEW7zGe7zIm7zKu7zM27zOG7y8uwZpYAZk8AX71E//FFCuQVA0cjEV0AEm8AI6MARLAAVXoAVc
4AVfAAZh0L7u+77wG7/yO7/0W7/2e7/4m7/6u7/827/zCwZf4AVcoAVXcE3ZtE2l5U0T8jVuKwEZ
EAIoEAM6IARGwARPAAVTQAVVUAVW0MEe/MEgHMIiPMIkXMImfMIonMIqvMIs3MIhvMFUMAVQ8ARM
EP9Ls1RLt5RL38S3kPEAFLABIoACL2ADPAAEQ0AERnAESLDETNzETvzEUBzFUjzFVFzFVnzFWJzF
WrzFU3wERkAEQwAEmbRJnfRJEcJCh6AWbgsBFrABIWACKvACM1ADN5ADOrADeJzHerzHfNzHfvzH
gBzIgjzIhFzIhnzIiAzIOpADN1ADMwBIgmQBhCREPlEhBFAjDAABFJABHRACJWACKKACK8ACpFzK
pnzKqJzKqrzKrNzKrvzKsBzLsjzLtOzKK6ACKGACXtQBYCRG1KFLzIMdQJEADPAAElABGKABHOAB
OAQCIfDM0BzN0jzN1FzN1nzN2JzN2rzN3NzN3vzlzdcMAjjkARzQQ4YBRK+BxmihFgaAAArAAA4A
AUZBARVgAfZ8z/icz/q8z/zcz/78zwAd0AI90ARd0AYt0BVAARRwQilEFuoczLDQDO2QEQbUER5x
0Rid0Rq90Rzd0R790SAd0iI90iRd0iZN0jdxQAl0PovBCRWRDhfBDu6QEDRd0zZ90zid0zq90zzd
0z7900Ad1DW9EAfQEOjDE52QDOiQDs3wDU791FAd1VI91VRNDcgDEUj9Ca3wCsHQ1V791WAd1mI9
1r4wDKpDMaiQ1mq91mzd1qOgbm4d13I913RtCccQCAA7

------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf70.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf71.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf72.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf73.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: image/gif
Content-Transfer-Encoding: base64
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf74.gif
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------=_NextPart_000_00B0_01CA1602.F7D7C860
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
Content-Location: http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD><TITLE>Conception et normalisation des bases de =
donn=E9es</TITLE>
<META content=3D"text/html; charset=3Diso-8859-1" =
http-equiv=3DContent-Type>
<META name=3DGENERATOR content=3D"MSHTML 8.00.6001.18812">
<META name=3DDESCRIPTION=20
content=3D"An electronic magazine dedicated to dBL programming">
<META name=3DKEYWORDS content=3D"dbase,dB2K,visual =
dbase,dBL,database,programming">
<META name=3DAuthor content=3D"Mike Tossy">
<SCRIPT language=3DJavascript>
<!--
//
function bulletin_popup(fName){
popupwindow=3Dwindow.open
(fName,"newWin","width=3D300,height=3D250,top=3D50,left=3D50,location=3Dn=
o,scrollbars=3Dyes");
}//-->
</SCRIPT>
</HEAD>
<BODY aLink=3D#888888 link=3D#000099 bgColor=3D#ffffff text=3D#000000=20
vLink=3D#000000><FONT face=3DGeorgia,Arial,Helvetica><FONT =
color=3D#990000><FONT=20
size=3D+1>Chronique d=E9butant =97 Troisi=E8me =
partie</FONT></FONT></FONT> <BR><IMG=20
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12anim.gif" =
width=3D44=20
height=3D50>&nbsp;<FONT face=3DGeorgia,Arial,Helvetica><FONT =
color=3D#990000><FONT=20
size=3D+4> Conception</FONT><FONT size=3D+1> et </FONT><FONT=20
size=3D+4>normalisation</FONT><FONT size=3D+1> des </FONT><FONT=20
size=3D+4>bases</FONT><FONT size=3D+1> de </FONT><FONT=20
size=3D+4>donn=E9es</FONT></FONT></FONT> <BR><I><FONT=20
face=3DGeorgia,Arial,Helvetica><FONT size=3D-1>par Mike =
Tossy</FONT></FONT></I> <BR>
<HR width=3D"100%">
<BR><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>Avant-propos</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Le but du pr=E9sent article est =
de traiter=20
de la conception des bases de donn=E9es relationnelles. Le sujet n'est =
pas=20
difficile. L'approche sera pratique. Il n'y a pas de =
pr=E9-requis.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Les lecteurs qui ont =
pr=E9alablement =E9tudi=E9=20
le sujet seront peut-=EAtre surpris de voir que les notions =
acad=E9miques de=20
=ABnormalisation=BB et de =ABformulaire normal=BB sont presque =
compl=E8tement absentes du=20
pr=E9sent texte. Ceci est voulu. mon exp=E9rience de l'enseignement de =
la conception=20
des bases de donn=E9es m'a amen=E9 =E0 penser qu'une approche pratique =
est plus=20
efficace.</FONT>=20
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>Introduction</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Une <I>base logique de =
donn=E9es</I> est un=20
recueil de <I>donn=E9es</I>. Ainsi, une compagnie pourrait maintenir une =
base de=20
donn=E9es du personnel dans laquelle seraient enregistr=E9es les =
donn=E9es relatives =E0=20
ses employ=E9s. Cette m=EAme compagnie pourrait =E9galement maintenir =
=E0 jour une base=20
de donn=E9es d'inventaire afin de pouvoir d=E9terminer =E0 tout instant =
le nombre et=20
le type de marchandise qu'elle poss=E8de.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Dans une base de donn=E9es =
relationnelle,=20
les donn=E9es sont conserv=E9es dans des tables accessibles par =
ordinateur. Une base=20
logique de donn=E9es peut =EAtre compos=E9e de plusieurs tables li=E9es =
entre elles. Par=20
exemple, la base de donn=E9es d'une biblioth=E8que peut =EAtre =
compos=E9e d'une table=20
des livres =E0 emprunter et d'une table d'emprunteurs. Ces deux tables =
seraient=20
li=E9es de mani=E8re =E0 d=E9terminer les emprunts effectu=E9s. <I>La =
conception des bases=20
de donn=E9es est l'art de d=E9terminer quels types de donn=E9es =
devraient =EAtre=20
enregistr=E9es et dans quelles tables ces donn=E9es devraient =
l'=EAtre</I>.</FONT><A=20
name=3D1></A>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Pour terminer cette =
introduction, voyons=20
un peu de terminologie. Dans un syst=E8me de base de donn=E9es =
relationnelle, comme=20
dB2K, les donn=E9es sont conserv=E9es dans des <I>tables</I>. Ces tables =
peuvent=20
=EAtre soit des tables conventionnelles de type dBASE (.dbf) ou Paradox =
(.db), ou=20
=E0 l'oppos=E9, des tables con=E7ues pour des bases de donn=E9es de type =
SQL g=E9r=E9es pas=20
des syst=E8mes comme Oracle ou InterBase. Toutes les tables sont =
constitu=E9es de=20
<I>rang=E9es</I> (ou enregistrements) et de <I>colonnes</I> (ou =
champs).<SUP><A=20
onclick=3D"Javascript:bulletin_popup('bu12cf3a.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#1">[1]<=
/A></SUP>=20
Voici ci-dessous une table typique telle qu'affich=E9e par le module =
dQuery/Web de=20
dB2K.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf60.gif"=20
width=3D666 height=3D526></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>On notera que toutes les =
rang=E9es de cette=20
table ont la m=EAme structure&nbsp;; elles ont toutes le m=EAme nombre =
de colonnes=20
et chacune de celles-ci renferme le m=EAme type de donn=E9es =
(note&nbsp;: certaines=20
vieilles bases de donn=E9es non-relationnelles n'avaient pas cette=20
caract=E9ristique).</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Une <I>base de donn=E9es</I> est =
une=20
collection de tables utilis=E9es pour enregistrer les donn=E9es =
n=E9cessaires =E0=20
l'accomplissement d'une t=E2che ou =E0 l'ex=E9cution d'une application =
informatique.=20
Ainsi une base de donn=E9es de ressources humaines pourrait =EAtre =
constitu=E9e d'un=20
certain nombre de tables n=E9cessaires au fonctionnement d'un service de =

ressources humaines&nbsp;: une table d'employ=E9s, de leurs aptitudes et =
de leur=20
famille (enfants et conjoints). La base de donn=E9es d'un atelier de =
r=E9paration=20
comprendrait probablement des tables de pi=E8ces automobiles, des =
ventes, des=20
clients et des achats.</FONT> <BR>&nbsp;=20
<TABLE border=3D1 cellSpacing=3D3 cellPadding=3D3 width=3D"100%" =
bgColor=3D#ffe2aa>
  <TBODY>
  <TR>
    <TD bgColor=3D#000099 width=3D"100%"><B><FONT=20
      face=3DGeorgia,Arial,Helvetica><FONT color=3D#ffffff>Mise en garde =

      !</FONT></FONT></B></TD></TR>
  <TR>
    <TD width=3D"100%"><FONT face=3DGeorgia,Arial,Helvetica>La notion de =
base de=20
      donn=E9es =ABrelationnelle=BB est un peu galvaud=E9e en =
informatique. Ce ne sont=20
      pas toutes les bases de donn=E9es qui peuvent =EAtre qualifi=E9es =
de=20
      relationnelles et les bases de donn=E9es qui ne le sont pas =
peuvent utiliser=20
      autre chose que des tables pour enregistrer leurs donn=E9es. =
Certains=20
      syst=E8mes pseudo relationnels ne le sont pas (on me permettra =
d'=E9viter de=20
      donner des noms).</FONT>=20
      <P><FONT face=3DGeorgia,Arial,Helvetica>Certaines personnes =
utilisent=20
      l'expression =ABbase de donn=E9es=BB comme synonyme de table. =
D'autres=20
      l'utilisent pour d=E9crire les tables d'un m=EAme r=E9pertoire =
sans que=20
      celles-ci ne soit reli=E9es entre elles. Lorsque quelqu'un vous =
parle de sa=20
      =ABbase de donn=E9es=BB, sachez qu'il ne s'agit peut-=EAtre pas de =
ce que vous=20
      pensez. Dans le pr=E9sent document, lorsqu'on parlera d'une base =
de donn=E9es,=20
      il s'agira toujours d'une base de donn=E9es relationnelle, soit =
une=20
      collection d'une ou de plusieurs tables reli=E9es entre elles. =
L'adjectif=20
      =ABrelationnelle=BB ne vient pas de =ABrelation=BB (rapport entre =
des choses) mais=20
      d'un ancien concept math=E9matique d=E9signant une table. Voil=E0 =
pourquoi une=20
      table seule peut =EAtre =
<I>relationnelle</I>.</FONT></P></TD></TR></TBODY></TABLE>
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>Normalisation</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>La normalisation est le =
processus qui=20
consiste =E0 d=E9cider dans quelle table devrait =EAtre enregistr=E9 tel =
type de donn=E9e.=20
Ce processus est inh=E9rent =E0 la conception d'une base de donn=E9es. =
Il s'agit m=EAme=20
d'un sujet de recherche universitaire. Par exemple, des chercheurs ont =
d=E9fini=20
une s=E9rie de niveaux de normalisation. Dans une vie ant=E9rieure (en =
fait dans les=20
ann=E9es '80), j'enseignais la conception des bases de donn=E9es.&nbsp;=20
Malheureusement, l'approche acad=E9mique n'est pas tr=E8s utile pour =
enseigner aux=20
d=E9butants comment cr=E9er leurs bases de donn=E9es.&nbsp; J'ai donc =
choisi d'offrir=20
une s=E9rie de r=E8gles et d'exemples de nature =E0 d=E9montrer comment =
concevoir une=20
base de donn=E9es normalis=E9e. On recherchera des tables bien =
normalis=E9es car=20
celles-ci sont plus faciles =E0 mettre-=E0-jour, les requ=EAtes s'y =
appliquent plus=20
facilement et offrent le moins de risque d'inconsistance. Ces r=E8gles=20
sont&nbsp;:</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des noms</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>La plupart des les tables =
renferment des=20
noms&nbsp;: des personnes, des lieux ou des choses. Chaque rang=E9e =
d'une table=20
doit permettre de distinguer une des ces personnes, un lieu pr=E9cis ou =
une chose=20
en particulier.</FONT><A name=3D2></A>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle de la Cl=E9 primaire</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Toutes les tables ont une cl=E9 =
primaire.=20
Celle-ci est form=E9e d'une ou de plusieurs colonnes qui permettent de =
distinguer=20
une rang=E9e des autres. Pour une table de personnes, ce pourrait =EAtre =
les=20
colonnes du nom de famille et du pr=E9nom. Th=E9oriquement, une colonne =
de num=E9ros=20
d'assurance sociale permettrait de distinguer les homonymes. Dans les =
faits, il=20
en est autrement.<SUP><A =
onclick=3D"Javascript:bulletin_popup('bu12cf3b.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#2">[2]<=
/A></SUP></FONT><A=20
name=3D3></A>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Certaines tables ont une cl=E9 =
primaire dite=20
=ABnaturelle=BB. Dans de telles tables, on trouve naturellement tout ce =
qu'il faut=20
pour distinguer un item de l'ensemble. Dans une table de pi=E8ces =
automobiles, par=20
exemple, la colonne des num=E9ros de pi=E8ce servira de cl=E9 primaire=20
naturelle.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>=C0 l'oppos=E9, certaines tables =
auront besoin=20
d'une cl=E9 primaire dite =ABartificielle=BB. Puisque chaque table au =
sein d'une base=20
de donn=E9es doit absolument avoir une cl=E9 primaire, on lui cr=E9era =
donc une cl=E9=20
primaire artificielle si elle ne peut =EAtre trouv=E9e naturellement. =
Une entreprise=20
cr=E9era des num=E9ros d'employ=E9s. Un fabriquant, des num=E9ros de =
s=E9rie. Une R=E9gie=20
automobile, des num=E9ros de plaque d'immatriculation. Ce sont tous des =
exemples=20
de cl=E9s primaires artificielles. On pourrait utiliser un champ =
AutoIncrement =E0=20
cette fin. Contrairement =E0 un nom marital, qui peut changer avec le =
temps, une=20
cl=E9 primaire doit =EAtre unique et inalt=E9rable. Pour des personnes, =
il est=20
pr=E9f=E9rable de cr=E9er une cl=E9 primaire artificielle.<SUP><A=20
onclick=3D"Javascript:bulletin_popup('bu12cf3c.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#3">[3]<=
/A></SUP></FONT>=20

<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des Attributs</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Consid=E9rez toutes les colonnes =
autres que=20
la cl=E9 primaire, comme des caract=E9ristiques se rapportant au sujet =
d=E9fini par la=20
cl=E9 primaire. Elles contiennent des items descriptifs, des faits ou =
des=20
attributs se rapportant au sujet. Une colonne doit contenir dans chaque =
rang=E9e,=20
le m=EAme type d'information (statut marital, taille, couleur d'yeux, =
sexe, etc.).=20
Si un attribut ne s'applique pas =E0 un sujet (ex.&nbsp;: l'adresse d'un =

itin=E9rant), la case correspondante peut rester vide.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Pour voir si une table respecte =
les r=E8gles=20
ci-dessus, il suffit de lui appliquer une r=E8gle, celle de la =
D=E9finition=20
lin=E9aire.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>Le=20
test de la D=E9finition lin=E9aire</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Essayez de construire une phrase =
qui=20
d=E9crit la nature des rang=E9es de votre table. Cette phrase doit =
=EAtre simple. Par=20
exemple&nbsp;: =ABChaque rang=E9e correspond =E0 un employ=E9 de notre =
entreprise=BB. Une=20
d=E9finition complexe sera suspecte. Par exemple, =ABSi la valeur de la =
premi=E8re=20
colonne est de 1, on a affaire =E0 un employ=E9&nbsp;: si c'est 2, il =
s'agit d'un=20
enfant d'employ=E9=BB.</FONT><A name=3D4></A>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>En fait, vous devriez =
re-dessiner votre=20
table si vous ne pouvez appliquer ce principe ou si vous ne pouvez =
l'appliquer =E0=20
chaque rang=E9e de votre table. Une d=E9finition comme ci-apr=E8s est =
=E0 =E9viter&nbsp;:=20
=ABSi le champ <I>Segment</I> est vrai, le champ <I>Longueur</I> =
renferme la=20
longueur de ce segment. Par contre, si le champ <I>Segment</I> est faux, =
le=20
champ <I>Longueur</I> renferme la taille totale du c=E2ble.=BB<SUP><A=20
onclick=3D"Javascript:bulletin_popup('bu12cf3f.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#4">[6]<=
/A></SUP></FONT>=20

<P><FONT face=3DGeorgia,Arial,Helvetica>En somme, votre description doit =
=EAtre=20
lin=E9aire, sans =ABsi=BB, sans =ABpeut-=EAtre=BB et sans =ABmais par =
contre=BB.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Nous avons deux autres r=E8gles =
=E0 voir. Mais=20
pour l'instant, voici quelques cas o=F9 peuvent s'appliquer les r=E8gles =
dont nous=20
avons d=E9j=E0 parl=E9.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>D'abord voici un exemple =E0 =
=E9viter.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf61.gif"=20
width=3D657 height=3D177></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Placer le nom des enfants =
d'employ=E9s dans=20
la m=EAme table que leurs parents est une erreur. Et ce, pour trois=20
raisons&nbsp;:</FONT>=20
<OL>
  <LI><FONT face=3DGeorgia,Arial,Helvetica>Qu'arrive-t-il si un =
employ=E9 poss=E8de=20
  une prog=E9niture plus nombreuse que le nombre de champs pr=E9vus =E0 =
cette fin ?=20
  Comment doit-on pr=E9voir de champs pour les enfants ? Cinq ? Dix ? =
Vingt ? Cent=20
  ?</FONT>=20
  <LI><FONT face=3DGeorgia,Arial,Helvetica>C'est du gaspillage. La =
plupart des=20
  employ=E9s auront beaucoup moins d'enfants que le maximum qui vous =
appara=EEtra=20
  couvrir toutes les possibilit=E9s. Si l'espace disque est de nos jours =
tr=E8s=20
  =E9conomique, le temps perdu =E0 lire et =E0 =E9crire des champs vides =
repr=E9sente un=20
  co=FBt certain.</FONT>=20
  <LI><FONT face=3DGeorgia,Arial,Helvetica>R=E9diger une requ=EAte afin =
de trouver=20
  tous les enfants appel=E9s =ABMike=BB se complique au fur et =E0 =
mesure que ce pr=E9nom=20
  peut se trouver dans un nombre croissant de champs.</FONT> =
</LI></OL><FONT=20
face=3DGeorgia,Arial,Helvetica>Note: Lorsqu'il faut ajouter un num=E9ro =
au nom d'une=20
colonne pour la distinguer des autres (comme c'est le cas ci-dessus), =
cela est=20
un indice presque s=FBr de normalisation d=E9ficiente. La r=E8gle des =
Attributs=20
devrait vous indiquer si tel est le cas&nbsp;: ne peut-on pas dire que =
la valeur=20
contenue dans le champ <I>Nom_d'enfant_N</I> est une caract=E9ristique =
d'un=20
enfant, et non d'un parent ?</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Le processus qui consistera =E0 =
scinder la=20
table pr=E9c=E9dente en deux tables suivantes, mieux structur=E9es, est =
ce qu'on=20
appelle la normalisation.</FONT><A name=3D5></A>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf62.gif"=20
width=3D710 height=3D206></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>En scindant notre table en deux, =
nous=20
instaurons une relation (dans ce cas-ci parentale) entre ces tables. =
Cette=20
relation est appel=E9e lien d'un =E0 multiple (1:M) lorsqu'un employ=E9 =
peut avoir de=20
z=E9ro =E0 plusieurs enfants mais que l'inverse n'est pas vrai, =
c'est-=E0-dire lorsque=20
chaque enfant ne peut faire partie de la prog=E9niture que d'un seul =
employ=E9. Il=20
arrive souvent que cette deuxi=E8me condition ne puisse =EAtre remplie, =
par exemple=20
lorsqu'un enfant a pour p=E8re et pour m=E8re, deux employ=E9s de =
l'entreprise&nbsp;:=20
dans ce cas, on cr=E9era entre ces tables un lien multiple =E0 multiple=20
(M:M).<SUP><A onclick=3D"Javascript:bulletin_popup('bu12cf3d.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#5">[4]<=
/A></SUP></FONT>=20

<P><FONT face=3DGeorgia,Arial,Helvetica>Les r=E8gles pr=E9c=E9demment =
d=E9finies sont=20
suffisantes pour nous permettre de concevoir des tables comme des =
entit=E9s=20
distinctes. Lorsqu'il s'agit de tisser des liens entre des tables, nous =
avons=20
besoin de trois nouvelles r=E8gles de biens=E9ance.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des Relations</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Soit que des tables qualifient =
les=20
attributs relatifs =E0 des =E9l=E9ments ou d=E9finissent la relation =
entre les =E9l=E9ments=20
de tables diff=E9rentes : Qui poss=E8de cette voiture ? Qui travaille =
pour ce=20
service ? Quel produit a =E9t=E9 exp=E9di=E9 =E0 ce client ?</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle de la Cl=E9 primaire des relations</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Lorsqu'une table d=E9fini des =
relations,=20
celle-ci poss=E8de toujours une cl=E9 primaire naturelle. C'est sur =
cette cl=E9=20
primaire que se tisse le lien entre deux tables. Dans une table de =
relations, un=20
champ AutoIncrement ne doit jamais servir =E0 lier cette table de =
relations =E0 une=20
autre table.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des Attributs (modifi=E9e)</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Consid=E9rez toutes les colonnes =
autres que=20
la cl=E9 primaire, comme des caract=E9ristiques se rapportant au sujet =
d=E9fini par la=20
cl=E9 primaire ou =E0 la relation qu'il entretient avec un =E9l=E9ment =
d'une autre=20
table. Une colonne doit contenir dans chaque rang=E9e, le m=EAme type =
d'information.=20
Si un attribut ne s'applique pas =E0 un sujet la case correspondante =
peut demeurer=20
vide.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Voyons ci-dessous une table de=20
relations.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf63.gif"=20
width=3D696 height=3D308></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Clark Smith est p=E8re de deux =
enfants (John=20
et Joanne). Son =E9pouse, Gretchen Smith, est la m=E8re de Joanne mais =
pas de John.=20
Gretchen, est-elle son =E9pouse actuelle ou son ex-conjointe ? L'enfant =
John=20
est-il n=E9 avant ou apr=E8s sa demi-soeur Johanne ? Voil=E0 des =
questions auxquelles=20
notre base de donn=E9es n'offre pas de r=E9ponse. Quant =E0 lui, =
l'employ=E9 Mark Jones=20
poss=E8de un enfant (Tom)&nbsp;: cet employ=E9, est-il mari=E9, conjoint =
de fait,=20
divorc=E9 ou veuf ? L=E0 encore nous ne le savons pas&nbsp;: tout ce que =
nous=20
savons, c'est que le nom de la m=E8re de son enfant n'appara=EEt pas =
parmi la liste=20
des employ=E9s. Pour terminer, Mary-Ann Singleton n'a pas =
d'enfant.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>La table ci-dessus illustre un =
lien de=20
multiple =E0 multiple (M:M) parce qu'un employ=E9 peut avoir de z=E9ro =
=E0 plusieurs=20
enfants et qu'en contrepartie, un enfant peut avoir de z=E9ro =E0 =
plusieurs parents=20
(note&nbsp;: les enfants qui n'auraient aucun parent seraient ceux qu'on =
aurait=20
oubli=E9 d'enlever de la base de donn=E9es apr=E8s le cong=E9diement ou =
le d=E9c=E8s de=20
leurs parents). Si vous voulez que chaque enfant ait au moins un parent =
et un=20
maximum de deux parents (note&nbsp;: de nos jours, il en faut parfois =
plus=20
lorsqu'il ne s'agit pas des parent biologiques), votre code dBL doit =
contenir=20
des r=E8gles de validation puisque la simple normalisation ne suffit pas =
=E0 cr=E9er=20
de telles limites.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Croyez-le ou non, ces r=E8gles =
simples=20
suffisent =E0 normaliser correctement vos bases de donn=E9es. Toutefois, =
voyons=20
quelques exemples suppl=E9mentaires pour nous assurer que tout a =E9t=E9 =
bien=20
compris.</FONT>=20
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>Exemple 1&nbsp;: L'atelier de =
r=E9paration</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Supposons qu'il vous faille =
=E9tablir une=20
base de donn=E9es afin de consigner et de suivre les r=E9parations =
effectu=E9es dans=20
un garage. Les =E9l=E9ments =E0 consigner sont les clients, les =
r=E9parations et le=20
personnel. On cr=E9era donc les trois tables suivantes&nbsp;:</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf64.gif"=20
width=3D301 height=3D177><IMG=20
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf65.gif" =
width=3D301=20
height=3D177><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf66.gif"=20
width=3D301 height=3D177></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Quelles sont les relations =E0 =
=E9tablir ? On=20
devrait =EAtre capable de d=E9terminer quel m=E9canicien a effectu=E9 =
une r=E9paration.=20
Puisqu'un m=E9canicien effectue g=E9n=E9ralement plus d'une r=E9paration =
dans sa=20
carri=E8re (=E0 moins qu'elle n'ait =E9t=E9 d=E9sastreuse), on devrait =
pr=E9voir un lien de=20
1:M=85 =E0 moins que ce ne soit un lien de M:M puisque plusieurs =
employ=E9s pourraient=20
=EAtre affect=E9s =E0 l'ensemble des t=E2ches relatives =E0 une =
r=E9paration (changement=20
d'huile, nouvel alternateur, d=E9bosselage, peinture, etc). Il faudra =
donc pr=E9voir=20
cette possibilit=E9. On pourra toujours emp=EAcher de recourir =E0 cette =
possibilit=E9=20
ult=E9rieurement mais il sera difficile de s'en pr=E9valoir si la base =
de donn=E9es a=20
=E9t=E9 mal con=E7ue d=E8s le d=E9part. Ajoutons donc une table de =
relations appel=E9e=20
<I>T=E2ches</I>, s'interposant entre la table des r=E9parations et la =
table du=20
personnel.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf64.gif"=20
width=3D301 height=3D177><IMG=20
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf67.gif" =
width=3D600=20
height=3D246></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Nous avons maintenant une =
relation M:M (de=20
multiple =E0 multiple) entre la table des r=E9parations et la table du =
personnel. En=20
effet, la table des t=E2ches permet d'enregistrer lorsque plusieurs =
membres du=20
personnel ont =E9t=E9 assign=E9s =E0 une r=E9paration et inversement, =
=E0 enregistrer toutes=20
les r=E9parations auxquelles un employ=E9 a contribu=E9.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Par contre, la table des =
t=E2ches entretient=20
une relation 1:M (de un =E0 multiple) avec chacune des deux autres =
tables. En=20
effet, chaque t=E2che est relative =E0 une seule r=E9paration et un seul =
employ=E9. =C0=20
l'inverse, un employ=E9 peut s'=EAtre vu attribu=E9 plusieurs voitures =
=E0 r=E9parer et=20
une r=E9paration peut avoir fait l'objet de plusieurs t=E2ches selon sa=20
complexit=E9.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Mais quelle est la relation =
entre la table=20
des clients et celle des r=E9parations ? S'agit-il d'une relation 1:M ? =
Si oui,=20
ajoutez simplement un nouveau champ =E0 la table des r=E9parations qui =
contiendra la=20
cl=E9 primaire de la table des clients, comme suit&nbsp;:</FONT><A =
name=3D6></A>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf68.gif"=20
width=3D800 height=3D246></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Incidemment, ce nouveau champ =
sur lequel=20
seront li=E9es les deux tables s'appelle ici une cl=E9 externe.<SUP><A=20
onclick=3D"Javascript:bulletin_popup('bu12cf3e.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#6">[5]<=
/A></SUP>=20
Une cl=E9 externe est la copie d'une cl=E9 primaire d'une autre table. =
Les relations=20
1:M des bases de donn=E9es relationnelles sont toutes bas=E9es sur des =
cl=E9s=20
externes.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Si vous voulez permettre une =
relation M:M=20
entre la table des r=E9parations et la table des clients, il vous faudra =
alors=20
intercaler une nouvelle table comme celle-ci&nbsp;:</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf69.gif"=20
width=3D221 height=3D177></CENTER>
<TABLE border=3D1 cellSpacing=3D3 cellPadding=3D3 width=3D"100%" =
bgColor=3D#ffe2aa>
  <TBODY>
  <TR>
    <TD bgColor=3D#000099 width=3D"100%"><B><FONT=20
      face=3DGeorgia,Arial,Helvetica><FONT color=3D#ffffff>Mise en=20
      garde!</FONT></FONT></B></TD></TR>
  <TR>
    <TD width=3D"100%"><FONT face=3DGeorgia,Arial,Helvetica>On parle =
souvent de=20
      table-parent et de table-enfant pour qualifier les tables li=E9es =
par une=20
      relation 1:M. Cette relation est alors d=E9crite comme un lien=20
      parent-enfant. En r=E9alit=E9, sous dB2K, dans ce lien =
parent-enfant,=20
      n'importe quelle table peut occuper le r=F4le de parent, selon le =
besoin.=20
      C'est pourquoi je sugg=E8re d'=E9viter cette terminologie au sein =
de la=20
      communaut=E9 des programmeurs dBASE. En dehors de notre =
communaut=E9, soyez=20
      pr=E9venu que le lien parent-enfant peut =EAtre un =E9l=E9ment de =
la conception=20
      des bases de donn=E9es.</FONT></TD></TR></TBODY></TABLE>
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>Exemple 2&nbsp;: Une table de faits =
historiques</FONT></FONT></FONT></B>=20

<P><FONT face=3DGeorgia,Arial,Helvetica>La plupart des bases de =
donn=E9es renferment=20
des faits relativement contemporains&nbsp;: on y consigne les salaires =
actuels=20
vers=E9s aux employ=E9s ou la derni=E8re commande d'un client.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Plusieurs bases de donn=E9es ont =
des tables=20
de faits historiques. Ces tables renferment des informations valides =E0 =
un moment=20
pr=E9cis (la m=E9t=E9o, les cotes boursi=E8res, etc.) et o=F9 l'on =
d=E9sire suivre=20
l'=E9volution des donn=E9es avec le temps. On doit faire preuve de =
prudence=20
lorsqu'on fait interagir des donn=E9es contemporaines et des faits=20
historiques.</FONT> <BR>&nbsp;=20
<TABLE border=3D1 width=3D"100%">
  <TBODY>
  <TR>
    <TD bgColor=3D#000099 width=3D"50%"><B><FONT=20
      face=3DGeorgia,Arial,Helvetica><FONT =
color=3D#ffffff>&nbsp;Conception=20
      d=E9ficiente</FONT></FONT></B></TD>
    <TD bgColor=3D#000099 width=3D"50%"><B><FONT=20
      face=3DGeorgia,Arial,Helvetica><FONT =
color=3D#ffffff>&nbsp;Conception=20
      meilleure</FONT></FONT></B></TD></TR>
  <TR>
    <TD bgColor=3D#eeeeee width=3D"50%">
      <BLOCKQUOTE><TT>Client=E8le&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; // =
<I>Nom de la=20
        table</I></TT> <BR><TT>No_de_client&nbsp;&nbsp; // <I>Clef=20
        primaire</I></TT> <BR><TT>Adresse_exp=E9dition</TT> <BR><TT>(et =
d'autres=20
        champs relatifs au client)</TT>=20
        <P><TT>Profil_achats&nbsp; // <I>Nom de la table</I></TT>=20
        <BR><TT>No_achats&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; // <I>Clef=20
        primaire</I></TT> <BR><TT>No_de_client&nbsp;&nbsp; // <I>Clef =
externe=20
        (de la table Client=E8le)</I></TT> <BR><TT>(et d'autres champs =
relatifs =E0=20
        cet achat)</TT>=20
        <P><TT>(Plus d'autres tables)&nbsp;</TT></P></BLOCKQUOTE></TD>
    <TD bgColor=3D#eeeeee width=3D"50%">
      <BLOCKQUOTE><TT>Client=E8le&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; // =
<I>Nom de la=20
        table</I></TT> <BR><TT>No_de_client&nbsp;&nbsp; // <I>Clef=20
        primaire</I></TT> <BR><TT>Adresse_exp=E9dition</TT> <BR><TT>(et =
d'autres=20
        champs relatifs au client)</TT>=20
        <P><TT>Profil_achats&nbsp; // <I>Nom de la table</I></TT>=20
        <BR><TT>No_achats&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; // <I>Clef=20
        primaire</I></TT> <BR><TT>No_de_client&nbsp;&nbsp; // <I>Clef =
externe=20
        (de la table Client=E8le)</I></TT> <BR><B><TT><FONT=20
        color=3D#990000>Adresse_exp=E9dition</FONT></TT></B> <BR><TT>(et =
d'autres=20
        champs relatifs =E0 cet achat)</TT>=20
        <P><TT>(Plus d'autres =
tables)</TT></P></BLOCKQUOTE></TD></TR></TBODY></TABLE>
<P><FONT face=3DGeorgia,Arial,Helvetica>La meilleure conception a un =
champ de=20
plus, soit celui de l'adresse d'exp=E9dition. On remarquera donc que ce =
champ fait=20
duplication puisqu'il est pr=E9sent =E0 la fois dans la table =
Client=E8le et dans la=20
table des profils d'achats. Pourquoi ? N'est-ce pas redondant ?</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Pas vraiment. Le champ=20
<I>Adresse_exp=E9dition</I> de la table <I>Client=E8le</I> sert =E0 =
inscrire l'adresse=20
actuelle du client. Le champ analogue de la table <I>Profil_achats</I> =
renferme=20
l'adresse historique d'exp=E9dition. Elle est copi=E9e =E0 partir de la =
table=20
<I>Client=E8le</I> au moment d'un achat. Imaginons la s=E9quence =
d'=E9v=E9nements=20
suivants&nbsp;:</FONT>=20
<UL>
  <LI><FONT face=3DGeorgia,Arial,Helvetica>Le 3 mai le client 1427 =
commande divers=20
  produits.</FONT>=20
  <LI><FONT face=3DGeorgia,Arial,Helvetica>Le 4 mai, ces produits sont=20
  exp=E9di=E9s.</FONT>=20
  <LI><FONT face=3DGeorgia,Arial,Helvetica>Le 5 mai, le client 1427 =
rappelle pour=20
  donner sa nouvelle adresse. Votre personnel n=E9glige de vous aviser =
que la=20
  commande a =E9t=E9 exp=E9di=E9e =E0 la mauvaise adresse.</FONT>=20
  <LI><FONT face=3DGeorgia,Arial,Helvetica>Le 7 mai, le client rappelle =
pour se=20
  plaindre qu'il n'a toujours par re=E7u sa commande.</FONT>=20
  <LI><FONT face=3DGeorgia,Arial,Helvetica>Vous utilisez la base de =
donn=E9es=20
  d=E9ficiente. Selon vos informations, o=F9 sa commande a-t-elle =
=E9t=E9 exp=E9di=E9e ? Par=20
  contre, si vous aviez utilis=E9 la base de donn=E9es mieux con=E7ue, =
vous sauriez=20
  exactement ce qui s'est pass=E9.</FONT> </LI></UL><FONT=20
face=3DGeorgia,Arial,Helvetica>Dans la base de donn=E9es bien con=E7ue, =
on peut savoir=20
pr=E9cis=E9ment o=F9 une commande a =E9t=E9 exp=E9di=E9e. Par contre, =
dans la base de donn=E9es=20
qui laisse =E0 d=E9sirer, toute changement d'adresse d'un client modifie =
a=20
posteriori l'adresse d'exp=E9dition et laisse croire que les produits =
ont =E9t=E9=20
achemin=E9s =E0 la nouvelle adresse, alors qu'en r=E9alit=E9 ils ont =
=E9t=E9 exp=E9di=E9s =E0=20
l'ancienne.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>La personne qui a con=E7u la =
base de donn=E9es=20
d=E9ficiente a pr=E9sum=E9 que l'adresse d'exp=E9dition =E9tait une =
caract=E9ristique du=20
client. On se rend compte qu'il s'agit d'une donn=E9e qui fait partie =
int=E9grante=20
des caract=E9ristiques d'une commande au m=EAme titre que la liste des =
produits=20
command=E9s.</FONT>=20
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>Exemple 3&nbsp;: La table de =
validation</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Revenons =E0 notre tout premier=20
exemple.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf60.gif"=20
width=3D666 height=3D526></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Comment s'assurer d'obtenir des =
donn=E9es=20
coh=E9rentes et de qualit=E9 ? Un des moyens est de recourir =E0 une =
table de=20
validation. Ce moyen permet de faire en sorte que l'utilisateur ne peut =
entrer=20
des donn=E9es dans un champ qu'en choisissant parmi une liste de valeurs =

possibles. Par exemple, =E0 la saisie des donn=E9es relatives =E0 la =
table du=20
personnel, pour le champ <I>Titre</I>, au lieu d'une bo=EEte de saisie,=20
l'utilisateur pourrait avoir =E0 choisir une valeur dans une liste =
d=E9roulante des=20
titres.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf70.gif"=20
width=3D282 height=3D206></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Les tables de validation =
ressemblent aux=20
tables de noms mais n'en sont pas. On les distingue par leur structure=20
rudimentaire. Dans certains cas, une table de validation peut ne pas =
contenir de=20
nom du tout&nbsp;; c'est le cas de la table <I>Validation_du_titre</I> =
qui=20
renferme des attributs qui viennent qualifier le personnel, mais aucun =
nom de=20
personne, de lieu ou d'objet.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle de Validation</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Les tables de validation peuvent =
=EAtre=20
utiles afin d'assurer la coh=E9rence des donn=E9es. Ces tables ne =
devraient =EAtre=20
constitu=E9es que d'une seule colonne qui, de ce fait, en devient la =
cl=E9 primaire.=20
Cette colonne contient la liste des valeurs valides.</FONT>=20
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>Quand=20
une table de validation devient une table de =
noms</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Si votre entreprise enregistre =
dans une=20
table davantage de donn=E9es que les simples informations n=E9cessaires =
=E0 la=20
validation, c'est que vous utilisez une table de noms et non une table =
de=20
validation. Par exemple, on pourrait ajouter l'=E9chelle salariale de =
l'entreprise=20
=E0 la table <I>Validation_du_titre</I>, et renommer cette table=20
<I>Emplois.dbf</I>. On obtiendrait alors ce qui suit&nbsp;:</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf71.gif"=20
width=3D457 height=3D184></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Cette table pourrait alors =
=EAtre li=E9e =E0 la=20
table du personnel comme suit&nbsp;:</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf72.gif"=20
width=3D566 height=3D200></CENTER>
<P><B><FONT face=3DGeorgia,Arial,Helvetica>Note relative au champ =
<I>Titre</I>=20
:</FONT></B><FONT face=3DGeorgia,Arial,Helvetica> Selon l'entreprise, le =
titre=20
peut =EAtre un attribut de l'employ=E9 ou du poste qu'il occupe. Dans ce =
dernier=20
cas, l'exemple ci-dessus est inexact puisque le champ <I>Titre</I> =
devait plut=F4t=20
=EAtre dans la table du personnel. Dans l'exemple ci-dessus, nous avons =
pr=E9sum=E9=20
que le titre =E9tait un attribut de l'employ=E9&nbsp;: c'est pourquoi la =
colonne=20
<I>Titre</I> est dans la table du personnel. =C0 preuve, le titre des =
employ=E9s 1=20
et 3 ne concorde pas exactement avec le titre recommand=E9 des postes =
qu'ils=20
occupent. Les r=E8gles d'entreprise d=E9terminent donc quelle est la =
table qui=20
renfermera les titres.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Pensez aux entreprises pour =
lesquelles=20
vous avez travaill=E9. Quelles =E9taient les r=E8gles concernant les =
titres ? Comment=20
concevoir les tables de mani=E8re =E0 refl=E9ter ces r=E8gles ? =
L'exemple ci-dessus=20
refl=E8te mes observations personnelles sur la mani=E8re avec laquelle =
les=20
compagnies am=E9ricaines op=E8rent dans les faits. Cette conception de =
la base de=20
donn=E9es est plus flexible que celle qui requiert que l'employ=E9 porte =
le titre=20
exact du poste qu'il occupe.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>=C0 l'aide de r=E8gles =
d'entreprise, il est=20
plus facile d'accro=EEtre la rigidit=E9 d'une base de donn=E9es flexible =
que d'essayer=20
d'assouplir une base de donn=E9es con=E7ue de mani=E8re rigide. Une base =
de donn=E9es=20
rigide manquera toujours de souplesse. De plus, il est plus facile de =
modifier=20
des r=E8gles d'entreprise que de changer a posteriori la structure d'une =
base de=20
donn=E9es.</FONT>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Un syst=E8me =E9tabli dure =
longtemps. Chacun=20
des syst=E8mes que vous concevrez devra tenir compte des divers =
contextes=20
d'affaires que rencontrera l'entreprise au cours de la dur=E9e de vie de =
ce que=20
vous aurez mise en place. Si possible, assurez-vous de la souplesse =
d'adaptation=20
de votre base de donn=E9es, quitte =E0 renforcer sa rigidit=E9 par des =
r=E8gles=20
d'entreprise.</FONT>=20
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>Un=20
exemple =E0 =E9viter&nbsp;: l'encodage</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Certaines personnes soutiennent =
que=20
l'exemple de validation que nous venons de donner est erron=E9. Selon =
eux, pour=20
effectuer une normalisation appropri=E9e, le titre ne devrait pas =EAtre =
enregistr=E9=20
directement dans la table du personnel mais devrait plut=F4t se trouver =
dans une=20
table li=E9e =E0 la table du personnel de la mani=E8re suivante.</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf73.gif"=20
width=3D327 height=3D184></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>Quant =E0 elle, la table du =
personnel=20
devrait =EAtre comme suit&nbsp;:</FONT>=20
<CENTER>
<P><IMG =
src=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf74.gif"=20
width=3D459 height=3D200></CENTER>
<P><FONT face=3DGeorgia,Arial,Helvetica>=C0 mon avis, il s'agit d'un cas =
d'encodage=20
et non de normalisation. Comment peut-on distinguer entre les deux ? =
L'encodage=20
ne fournit aucune information suppl=E9mentaire. Il ne dit rien de plus =
de ce que=20
nous savions d=E9j=E0. Il poss=E8de l'avantage de r=E9duire la taille de =
la base de=20
donn=E9es (le chiffre 12 prend moins de place que =
=ABVice-Pr=E9sident=BB) mais il=20
n=E9cessite la cr=E9ation d'un lien entre deux tables. Dans la plupart =
des cas, il=20
est recommand=E9 de recourir =E0 la validation plut=F4t qu'=E0 =
l'encodage.</FONT>=20
<P><B><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT=20
size=3D+1>R=E9sum=E9</FONT></FONT></FONT></B>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Concevoir de mani=E8re =
appropri=E9e une base=20
de donn=E9es am=E9liore la performance de votre application en faisant =
en sorte que=20
chaque acc=E8s au disque soit plus fructueux et en r=E9duisant le =
gaspillage=20
d'espace disque. Cela permet =E9galement d'effectuer plus facilement des =
requ=EAtes.=20
M=EAme si le pr=E9sent article n'en fournit pas d'exemple, cela r=E9duit =
aussi le=20
nombre de doublons et =E9vite de cr=E9er des donn=E9es conflictuelles. =
Finalement,=20
sous leur forme d=E9finitive, les r=E8gles r=E9gissant la cr=E9ation des =
bases de=20
donn=E9es sont les suivantes&nbsp;:</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des noms</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>La plupart des tables renferment =
des=20
noms&nbsp;: des personnes, des lieux ou des choses. Chaque rang=E9e =
d'une table=20
doit permettre de distinguer une des ces personnes, un lieu pr=E9cis ou =
une chose=20
en particulier.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des Relations</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Soit que des tables qualifient =
les=20
attributs relatifs =E0 des =E9l=E9ments ou d=E9finissent la relation =
entre les =E9l=E9ments=20
de tables diff=E9rentes : Qui poss=E8de cette voiture ? Qui travaille =
pour ce=20
service ? Quel produit a =E9t=E9 exp=E9di=E9 =E0 ce client ?</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle de la Cl=E9 primaire</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Toutes les tables ont une cl=E9 =
primaire.=20
Celle-ci est form=E9e d'une ou de plusieurs colonnes qui permettent de =
distinguer=20
une rang=E9e des autres.</FONT><A name=3D7></A>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Certaines tables ont une cl=E9 =
primaire dite=20
=ABnaturelle=BB. =C0 l'oppos=E9, certaines tables auront besoin d'une =
cl=E9 primaire dite=20
=ABartificielle=BB. Puisque chaque table au sein d'une base de donn=E9es =
doit=20
absolument avoir une cl=E9 primaire, on lui cr=E9era donc une cl=E9 =
primaire=20
artificielle si elle ne peut =EAtre trouv=E9e naturellement. On pourrait =
utiliser un=20
champ AutoIncrement =E0 cette fin. Une cl=E9 primaire doit =EAtre unique =
et=20
inalt=E9rable. Pour des personnes, il est pr=E9f=E9rable de cr=E9er une =
cl=E9 primaire=20
artificielle.<SUP><A =
onclick=3D"Javascript:bulletin_popup('bu12cf3c.htm')"=20
href=3D"http://www.dbase.com/knowledgebase/dbulletin/bu12cf03.htm#7">[3]<=
/A></SUP></FONT>=20

<P><FONT face=3DGeorgia,Arial,Helvetica>Lorsqu'une table d=E9finie des =
relations,=20
celle-ci poss=E8de toujours une cl=E9 primaire naturelle. C'est sur =
cette cl=E9=20
primaire que se tisse le lien entre deux tables. Dans une table de =
relations, un=20
champ AutoIncrement ne doit jamais servir =E0 lier cette table de =
relations =E0 une=20
autre table.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle des Attributs</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Consid=E9rez toutes les colonnes =
autres que=20
la cl=E9 primaire, comme des caract=E9ristiques se rapportant au sujet =
d=E9fini par la=20
cl=E9 primaire. Elles contiennent des items descriptifs, des faits ou =
des=20
attributs se rapportant au sujet. Une colonne doit contenir dans chaque =
rang=E9e,=20
le m=EAme type d'information. Si un attribut ne s'applique pas =E0 un =
sujet, la case=20
correspondante peut rester vide.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>La=20
r=E8gle de Validation</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Les tables de validation peuvent =
=EAtre=20
utiles afin d'assurer la coh=E9rence des donn=E9es. Ces tables ne =
devraient =EAtre=20
constitu=E9es que d'une seule colonne qui, de ce fait, en devient la =
cl=E9 primaire.=20
Cette colonne contient la liste des valeurs valides.</FONT>=20
<P><I><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#990000><FONT =
size=3D+1>Le=20
test de la D=E9finition lin=E9aire</FONT></FONT></FONT></I>=20
<P><FONT face=3DGeorgia,Arial,Helvetica>Essayez de construire une phrase =
qui=20
d=E9crit la nature des rang=E9es de votre table. Cette phrase doit =
=EAtre simple. Par=20
exemple&nbsp;: =ABChaque rang=E9e correspond =E0 un employ=E9 de notre =
entreprise=BB. Une=20
d=E9finition complexe sera suspecte. Par exemple, =ABSi la valeur de la =
premi=E8re=20
colonne est de 1, on a affaire =E0 un employ=E9&nbsp;: si c'est 2, il =
s'agit d'un=20
enfant d'employ=E9=BB. En somme, votre description doit =EAtre =
lin=E9aire, sans =ABsi=BB,=20
sans =ABpeut-=EAtre=BB et sans =ABmais par contre=BB.</FONT>=20
<P>
<HR width=3D"100%">
<BR><FONT face=3DGeorgia,Arial,Helvetica><FONT color=3D#000000><FONT =
size=3D-1>L'image=20
GIF anim=E9e utilis=E9e au d=E9but du pr=E9sent texte est une =
gracieuset=E9 de M. Ronnie=20
MacGregor. De plus, la traduction fran=E7aise de ce texte, con=E7u =
originellement en=20
anglais, a =E9t=E9 r=E9alis=E9e par M. Jean-Pierre Martel. L'auteur =
d=E9sire =E9galement=20
remercier Mme Agathe Shooner, pour ses suggestions destin=E9es =E0 =
am=E9liorer le=20
pr=E9sent texte.</FONT></FONT></FONT> <BR>&nbsp; <BR>&nbsp; <BR>&nbsp; =
<BR>&nbsp;=20
<BR>&nbsp; <BR>&nbsp; </BODY></HTML>

------=_NextPart_000_00B0_01CA1602.F7D7C860--