Received: from magus.postgresql.org (magus.postgresql.org [87.238.57.229])
	by mail.postgresql.org (Postfix) with ESMTP id 5940419713C4
	for <pgsql-sql@postgresql.org>; Tue,  6 Dec 2011 09:57:38 -0400 (AST)
Received: from mc2.unige.ch ([129.194.9.215] helo=unige.ch)
	by magus.postgresql.org with esmtp (Exim 4.72)
	(envelope-from <Abhinandan.Raghavan@unige.ch>) id 1RXvWZ-0002qm-5t
	for pgsql-sql@postgresql.org; Tue, 06 Dec 2011 13:57:37 +0000
Received: from mmp3.unige.ch ([129.194.7.203]) by unige.ch stage1 with esmtp
	(Exim MailCleaner) id 1RXvVj-0007wJ-MU
	for <pgsql-sql@postgresql.org>
	from <Abhinandan.Raghavan@unige.ch>; Tue, 06 Dec 2011 14:56:43 +0100
X-MailCleaner-SPF: none
MIME-version: 1.0
Content-type: multipart/mixed; boundary="Boundary_(ID_u31+wpotZa8EHvytXPXCBQ)"
Received: from [129.194.60.134] (unknown [129.194.60.134])
	by mmp3.unige.ch (Sun Java(tm) System Messaging Server 7u3-15.01 64bit
	(built
	Feb 12 2010)) with ESMTPSA id <0LVS00EU1C3MM3A0@mmp3.unige.ch> for
	pgsql-sql@postgresql.org; Tue, 06 Dec 2011 14:57:22 +0100 (MET)
Message-id: <4EDE1F3F.6060807@unige.ch>
Date: Tue, 06 Dec 2011 14:57:19 +0100
From: Abhinandan Raghavan <Abhinandan.Raghavan@unige.ch>
User-Agent: Mozilla/5.0 (X11; Linux i686;
	rv:8.0) Gecko/20111124 Thunderbird/8.0
To: pgsql-sql@postgresql.org
Subject: Self-Join
X-Pg-Spam-Score: -3.5 (---)
X-Archive-Number: 201112/3
X-Sequence-Number: 36064

This is a multi-part message in MIME format.

--Boundary_(ID_u31+wpotZa8EHvytXPXCBQ)
Content-type: multipart/alternative;
	boundary="Boundary_(ID_LiMGRVaiSWaFHowAaxd1tg)"


--Boundary_(ID_LiMGRVaiSWaFHowAaxd1tg)
Content-type: text/plain; charset=ISO-8859-1; format=flowed
Content-transfer-encoding: 7bit

Hi,

I'm looking to frame an SQL statement in Postgres for what's explained 
in the attached image.

The original table is at the top and is called NAV (Short for Name, 
Attribute, Value). I want to create a view (NWHA_View) involving values 
from within (presumably from a self join). I would've normally created a 
view in the following way:


SELECTA.NAME <http://a.name/>,
              A.VALUE AS WEIGHT,
              B.VALUE AS HEIGHT,
              C.VALUE AS AGE

FROM NAV A,
            NAV B,
            NAV C

WHEREA.NAME <http://a.name/>=B.NAME <http://b.name/>
     ANDA.NAME <http://a.name/>=C.NAME <http://c.name/>
     AND A.ATTRIBUTE = 'Weight'
     AND B.ATTRIBUTE = 'Height'
     AND C.ATTRIBUTE = 'Age'


The only problem when I create a view with the above select statement is 
that when there are no entries for the field name "AGE" (in the case of 
David), then the row does not get displayed. What's the way out in 
Postgresql? I know the way it is addressed in Oracle but it doesn't seem 
to work in Postgresql.

Thanks.

Abhi



--Boundary_(ID_LiMGRVaiSWaFHowAaxd1tg)
Content-type: text/html; charset=ISO-8859-1
Content-transfer-encoding: 7bit

<html>
  <head>
    <meta http-equiv="content-type" content="text/html;
      charset=ISO-8859-1">
  </head>
  <body bgcolor="#FFFFFF" text="#000000">
    Hi,<br>
    <br>
    I'm looking to frame an SQL statement in Postgres for what's
    explained in the attached image. <br>
    <br>
    The original table is at the top and is called NAV (Short for Name,
    Attribute, Value). I want to create a view (NWHA_View) involving
    values from within (presumably from a self join). I would've
    normally created a view in the following way: <br>
    <br>
    <meta http-equiv="content-type" content="text/html;
      charset=ISO-8859-1">
    <span class="Apple-style-span" style="color: rgb(34, 34, 34);
      font-family: arial, sans-serif; font-size: 13px; font-style:
      normal; font-variant: normal; font-weight: normal; letter-spacing:
      normal; line-height: normal; orphans: 2; text-align: -webkit-auto;
      text-indent: 0px; text-transform: none; white-space: normal;
      widows: 2; word-spacing: 0px; -webkit-text-decorations-in-effect:
      none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width:
      0px; background-color: rgba(255, 255, 255, 0.917969); ">
      <div><br class="Apple-interchange-newline">
        SELECT<span class="Apple-converted-space">&nbsp;</span><a
          href="http://a.name/" target="_blank" style="color: rgb(17,
          85, 204); ">A.NAME</a>,&nbsp;</div>
      <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;A.VALUE AS WEIGHT,</div>
      <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;B.VALUE AS HEIGHT,</div>
      <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;C.VALUE AS AGE</div>
      <div><br>
      </div>
      <div>FROM NAV A,</div>
      <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; NAV B,</div>
      <div>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; NAV C</div>
      <div><br>
      </div>
      <div>WHERE<span class="Apple-converted-space">&nbsp;</span><a
          href="http://a.name/" target="_blank" style="color: rgb(17,
          85, 204); ">A.NAME</a><span class="Apple-converted-space">&nbsp;</span>=<span
          class="Apple-converted-space">&nbsp;</span><a href="http://b.name/"
          target="_blank" style="color: rgb(17, 85, 204); ">B.NAME</a></div>
      <div>&nbsp; &nbsp; AND<span class="Apple-converted-space">&nbsp;</span><a
          href="http://a.name/" target="_blank" style="color: rgb(17,
          85, 204); ">A.NAME</a><span class="Apple-converted-space">&nbsp;</span>=<span
          class="Apple-converted-space">&nbsp;</span><a href="http://c.name/"
          target="_blank" style="color: rgb(17, 85, 204); ">C.NAME</a></div>
      <div>&nbsp; &nbsp; AND A.ATTRIBUTE = 'Weight'</div>
      <div>&nbsp; &nbsp; AND B.ATTRIBUTE = 'Height'</div>
      <div>&nbsp; &nbsp; AND C.ATTRIBUTE = 'Age'</div>
      <div><br>
      </div>
      <div><br>
      </div>
      <div><font color="#000000" face="sans-serif"><big>The only problem
            when I create a view with the above select statement is that
            when there are no entries for the field name "AGE" (in the
            case of David), then the row does not get displayed. What's
            the way out in Postgresql? I know the way it is addressed in
            Oracle but it doesn't seem to work in Postgresql.<br>
          </big></font></div>
      <font color="#000000" face="sans-serif"><big> </big></font>
      <div><font color="#000000"><big><br>
          </big></font></div>
      <font color="#000000" face="sans-serif"><big> </big></font>
      <div><font color="#000000"><big>Thanks.</big></font></div>
      <font color="#000000" face="sans-serif"><big> </big></font>
      <div><font color="#000000"><big><br>
          </big></font></div>
      <font color="#000000" face="sans-serif"><big> </big></font>
      <div><font color="#000000"><big>Abhi</big></font></div>
      <font face="sans-serif"><big> </big></font></span><br>
    <br>
  </body>
</html>

--Boundary_(ID_LiMGRVaiSWaFHowAaxd1tg)--

--Boundary_(ID_u31+wpotZa8EHvytXPXCBQ)
Content-type: image/png; name=selfjoin_example.png
Content-transfer-encoding: base64
Content-disposition: attachment; filename=selfjoin_example.png
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--Boundary_(ID_u31+wpotZa8EHvytXPXCBQ)--