Date: Thu, 7 May 2015 17:16:19 +0200 (CEST)
From: Andreas Joseph Krogh <andreas@visena.com>
To: pgsql-sql@postgresql.org
Message-ID: <VisenaEmail.70.7125f92dc9db25c2.14d2ef26624@tc7-visena>
In-Reply-To: <554B44EA.4070803@gmail.com>
Subject: Re: generating json without nulls
MIME-Version: 1.0
Content-Type: multipart/related;
 boundary="----=_Part_350_1922191462.1431011779409"
Precedence: bulk
Sender: pgsql-sql-owner@postgresql.org

------=_Part_349_267472443.1431011779409
Content-Type: multipart/related; 
	boundary="----=_Part_350_1922191462.1431011779409"

------=_Part_350_1922191462.1431011779409
Content-Type: multipart/alternative;
 boundary="----=_Part_351_403720234.1431011779420"

------=_Part_351_403720234.1431011779420
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

=C2=A0P=C3=A5 torsdag 07. mai 2015 kl. 12:56:42, skrev Tim Dudgeon <tdudgeo=
n.ml@gmail.com=20
<mailto:tdudgeon.ml@gmail.com>>: Hi All!
 I'm using the postgres json functions to generate json for values in a
 table.
 Something like this:

 SELECT row_to_json(a_table) FROM a_table

 But my data has lots of null values and that results in json attributes
 like this:

 "colname":null

 I want to exclude those values from the json and only include non-null
 values.
 Any idea how to best go about this?

 Tim =C2=A0 WHERE colname IS NOT NULL ? =C2=A0 -- Andreas Joseph Krogh CTO =
/ Partner -=20
Visena AS Mobile: +47 909 56 963 andreas@visena.com <mailto:andreas@visena.=
com>=20
www.visena.com <https://www.visena.com>  <https://www.visena.com> =C2=A0
------=_Part_351_403720234.1431011779420
Content-Type: text/html;charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div>=C2=A0P=C3=A5 torsdag 07. mai 2015 kl. 12:56:42, skrev Tim Dudgeon &lt=
;<a href=3D"mailto:tdudgeon.ml@gmail.com">tdudgeon.ml@gmail.com</a>&gt;:</d=
iv>

<blockquote style=3D"border-left: 1px solid rgb(204, 204, 204); margin: 0pt=
 0pt 0pt 0.8ex; padding-left: 1ex;">
<div style=3D"display:inline; font-family: monospace; font-size: 12px;">Hi =
All!<br>
I'm using the postgres json functions to generate json for values in a<br>
table.<br>
Something like this:<br>
<br>
SELECT row_to_json(a_table) FROM a_table<br>
<br>
But my data has lots of null values and that results in json attributes<br>
like this:<br>
<br>
&quot;colname&quot;:null<br>
<br>
I want to exclude those values from the json and only include non-null<br>
values.<br>
Any idea how to best go about this?<br>
<br>
Tim</div>
</blockquote>

<div>=C2=A0</div>

<div>WHERE colname IS NOT NULL ?</div>

<div>=C2=A0</div>

<div class=3D"origo-email-signature">
<div>--
<div><span style=3D"font-family:arial,helvetica,sans-serif;"><strong>Andrea=
s Joseph Krogh</strong></span></div>

<div><span style=3D"font-family:arial,helvetica,sans-serif;">CTO / Partner<=
/span> - Visena AS</div>

<div><span style=3D"font-family:arial,helvetica,sans-serif;">Mobile: +47 90=
9 56 963</span></div>

<div><a href=3D"mailto:andreas@visena.com">andreas@visena.com</a></div>

<div><a href=3D"https://www.visena.com">www.visena.com</a></div>

<div style=3D"padding-top: 5px"><a href=3D"https://www.visena.com"><img alt=
=3D"" src=3D"cid:part_F727588614099T27BMF"></a></div>
</div>
</div>

<div>=C2=A0</div>
------=_Part_351_403720234.1431011779420--

------=_Part_350_1922191462.1431011779409
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Disposition: inline
Content-ID: <part_F727588614099T27BMF>
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------=_Part_350_1922191462.1431011779409--

------=_Part_349_267472443.1431011779409--