Received: from malur.postgresql.org ([217.196.149.56])
	by arkaria.postgresql.org with esmtp (Exim 4.84_2)
	(envelope-from
 <pgsql-admin-owner+M46292=pgsql+2Dadmin=arkaria.postgresql.org@postgresql.org>)
	id 1ccIZq-0004Kl-Al
	for pgsql-admin@arkaria.postgresql.org; Fri, 10 Feb 2017 21:17:58 +0000
Received: from localhost ([127.0.0.1] helo=postgresql.org)
	by malur.postgresql.org with smtp (Exim 4.84_2)
	(envelope-from
 <pgsql-admin-owner+M46292=pgsql+2Dadmin=arkaria.postgresql.org@postgresql.org>)
	id 1ccIZo-0002Q0-7Z
	for pgsql-admin@arkaria.postgresql.org; Fri, 10 Feb 2017 21:17:56 +0000
Received: from makus.postgresql.org ([2001:4800:1501:1::229])
	by malur.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA384:256)
	(Exim 4.84_2)
	(envelope-from <lazaro3487@gmail.com>)
	id 1ccIXl-0000VS-6P
	for pgsql-admin@postgresql.org; Fri, 10 Feb 2017 21:15:49 +0000
Received: from mail-it0-x244.google.com ([2607:f8b0:4001:c0b::244])
	by makus.postgresql.org with esmtps (TLS1.2:ECDHE_RSA_AES_256_CBC_SHA1:256)
	(Exim 4.84_2)
	(envelope-from <lazaro3487@gmail.com>)
	id 1ccIXc-0001tg-IR
	for pgsql-admin@postgresql.org; Fri, 10 Feb 2017 21:15:47 +0000
Received: by mail-it0-x244.google.com with SMTP id o185so5524148itb.1
        for <pgsql-admin@postgresql.org>;
 Fri, 10 Feb 2017 13:15:40 -0800 (PST)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;
        d=gmail.com; s=20161025;
        h=from:to:subject:date:message-id:mime-version:thread-index
         :content-language;
        bh=bcOHxvfAoV4VKmF0y6IAC1gUt/AQBDvD8Z9zFCo7kSU=;
        b=duwoqnt1S1MSXFTO37hbg0sx5v8oaV4MrC0vEjb+DCVnC0j1672WfbQstafdOjO+jm
         ehbVkCdLdSzE5POMwP5+jIW+BVQIwKRDgPQj582P+sZk7dx8gBvXvSnfQDPLxWcGMM0x
         hhGByKsm90qCekrah6vDAeNIp3pNxa5P5Pw1YNGo8Krtkt2HyUAi4PpxCPoLcYL5mqZe
         6lpftoFOJ3B+NC8dCS3iy4BLTf3ek11iGrpEwm9ONiaNQJbwrMXFQDgZ8kAIa0Q36JO8
         BOE125g2uEmYCpkJXi4+FVvL9vdMqk0qez7pkpF5XlY9ivBCu+HQvDuiO7uuXytUBrXM
         qoxA==
X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;
        d=1e100.net; s=20161025;
        h=x-gm-message-state:from:to:subject:date:message-id:mime-version
         :thread-index:content-language;
        bh=bcOHxvfAoV4VKmF0y6IAC1gUt/AQBDvD8Z9zFCo7kSU=;
        b=TXSJm5AjKTgXNpE1gFmMobmD1Wb7AQovicIvqyFs8TCOseFmQh4FIXmKFpnEd4csow
         4nTYwnkqYz7qNOykUeuJqMfFPSpkebNlXRxiAj5lPvZYJe8DXtb0j9bZfzov4eN4wyLV
         RI1eaXbzDewdWgWgjLWPLGsMfj8mNNI9ZPbv6XhNz4hTSIdvX9IHfxcfAQPraCAM9kaw
         7chDsd1DOL8y0u1y9+wfMXAXInIeoZ2njbi1mRFUZciT9T78ljIVRH0UmY9fA7eI95EW
         z2StwKxAC2g4Hw0JJuvzup/s+j2MsAXQr6VtlOTyntI7UMFhnLk/Tyu5E+C9UtM/vax+
         BYdA==
X-Gm-Message-State: 
 AMke39kfV/dC519rTnL/0I7ohIL1HFc9GvzmWpRJd8XAjxvGpxXDpn5o2eZGL21G40lvHA==
X-Received: by 10.36.88.194 with SMTP id f185mr10458695itb.26.1486761338708;
        Fri, 10 Feb 2017 13:15:38 -0800 (PST)
Received: from irylachi ([200.55.161.75])
        by smtp.gmail.com with ESMTPSA id 35sm1509784iot.6.2017.02.10.13.14.15
        (version=TLS1_2 cipher=ECDHE-RSA-AES128-SHA bits=128/128);
        Fri, 10 Feb 2017 13:15:38 -0800 (PST)
From: "Lazaro Garcia" <lazaro3487@gmail.com>
To: "'David Sisk -X \(dsisk - TEKSYSTEMS INC at Cisco\)'" <dsisk@cisco.com>,
	<pgpool-general@pgpool.net>,
	<pgsql-admin@postgresql.org>
Subject: Re: [pgpool-general: 5318] Why pgpool TPS is lowest versus postgresql
 direct connections?
Date: Fri, 10 Feb 2017 16:14:20 +0100
Message-ID: <002d01d283b0$5c879d80$1596d880$@gmail.com>
MIME-Version: 1.0
Content-Type: multipart/mixed;
	boundary="----=_NextPart_000_002E_01D283B8.BE552D40"
X-Mailer: Microsoft Outlook 15.0
Thread-Index: AdKDsFHNlh/9MGIZQ3akT+sQlS8OKg==
Content-Language: es-mx
X-Pg-Spam-Score: -0.9 (/)
List-Archive: <http://archives.postgresql.org/pgsql-admin>
List-Help: <mailto:majordomo@postgresql.org?body=help>
List-ID: <pgsql-admin.postgresql.org>
List-Owner: <mailto:pgsql-admin-owner@postgresql.org>
List-Post: <mailto:pgsql-admin@postgresql.org>
List-Subscribe: <mailto:majordomo@postgresql.org?body=sub%20pgsql-admin>
List-Unsubscribe: <mailto:majordomo@postgresql.org?body=unsub%20pgsql-admin>
X-Mailing-List: pgsql-admin
Precedence: bulk
Sender: pgsql-admin-owner@postgresql.org

This is a multipart message in MIME format.

------=_NextPart_000_002E_01D283B8.BE552D40
Content-Type: multipart/related;
	boundary="----=_NextPart_001_002F_01D283B8.BE552D40"


------=_NextPart_001_002F_01D283B8.BE552D40
Content-Type: multipart/alternative;
	boundary="----=_NextPart_002_0030_01D283B8.BE552D40"


------=_NextPart_002_0030_01D283B8.BE552D40
Content-Type: text/plain;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

Thank you very much for your explanation.

=20

The num_init_children configuration parameter is bigger than concurrent
users used in the test.

=20

Attached is the results of the test, as you can see with pgbench directly,
the TPS amount are almost double.

=20

The test was performed over two virtual machines with 4 processors and 2 GB
of RAM each one.

=20

Pgbech was executed from other machine.

=20

Ubuntu Server 16.04, PostgreSQL 9.6.1, Pgpool-3.5.5.

=20

Is there any way to increase the pgpool results?

=20

Regards.

=20

=20

De: David Sisk -X (dsisk - TEKSYSTEMS INC at Cisco) [mailto:dsisk@cisco.com]

Enviado el: viernes, 10 de febrero de 2017 04:58 p. m.
Para: Lazaro Garcia; pgpool-general@pgpool.net; pgsql-admin@postgresql.org
Asunto: RE: [pgpool-general: 5318] Why pgpool TPS is lowest versus
postgresql direct connections?

=20

My immediate thought would be this:  PGPool is much slower with a larger
number of concurrent users because some of the connections are being queued
by PGPool. Take a look at your num_init_children parameter=85unlike most
connection pooling layers, PGPool doesn=92t have separate config parameters
for the initial number of backend connections and the max number of backend
connections=85num_init_children controls both.  Increase num_init_children =
to
at least the number of concurrent connections plus a few, and re-try the
benchmark tests.

=20

Also, the benefits of load balancing don=92t tend to show up well with pgbe=
nch
or sysbench default benchmarks.  PGPool imposes some overhead in determining
which queries can be load-balanced against a standby=85with SELECT queries
that execute in only a few milliseconds, it might take PGPool longer to make
that decision than it would have to just send it straight to the primary.
So, you won=92t see the load balancing benefits with SELECT queries that
execute in a few milliseconds, but when you send it SELECT queries that take
a few seconds or longer to execute you=92ll start to see the benefits.  You
could create a custom benchmark that has some high-reduction queries that
would take a few seconds to execute, then run the benchmarks with that=85you
should then see scalability improvements from the load balancing.

=20

Hope this helps,

=20





=20

=09=09

David Sisk

Engineer - Software

 <mailto:dsisk@cisco.com> dsisk@cisco.com

Tel:=20

Cisco Systems, Inc.

7025-6 Kit Creek Road PO Box 14987
RESEARCH TRIANGLE PARK
27709-4987
United States
cisco.com

=09

=20


Think before you print.


This email may contain confidential and privileged material for the sole use
of the intended recipient. Any review, use, distribution or disclosure by
others is strictly prohibited. If you are not the intended recipient (or
authorized to receive for the recipient), please contact the sender by reply
email and delete all copies of this message.

Please  <http://www.cisco.com/web/about/doing_business/legal/cri/index.html>
click here for Company Registration Information.

=20

From: pgpool-general-bounces@pgpool.net
<mailto:pgpool-general-bounces@pgpool.net>
[mailto:pgpool-general-bounces@pgpool.net] On Behalf Of Lazaro Garcia
Sent: Thursday, February 9, 2017 5:00 AM
To: pgpool-general@pgpool.net <mailto:pgpool-general@pgpool.net> ;
pgsql-admin@postgresql.org <mailto:pgsql-admin@postgresql.org>=20
Subject: [pgpool-general: 5318] Why pgpool TPS is lowest versus postgresql
direct connections?

=20

The correct results reported by sysbench was:

=20


Concurrent Users

1

20

50

100


PostgreSQL

3582

11943

12852

10618


Pgpool

2240

7628

7013

6135

=20

Is there any way to tuning this behavior?

=20

Regards

=20

=20

De: Lazaro Garcia [mailto:lazaro3487@gmail.com]=20
Enviado el: mi=E9rcoles, 8 de febrero de 2017 05:28 p. m.
Para: 'pgpool-general@pgpool.net'; 'pgsql-admin@postgresql.org'
Asunto: Why pgpool TPS is lowest versus postgresql direct connections?

=20

After installed Pgpool with 2 postgresql nodes with streaming replication, I
have noticed that access directly to postgresql is more efficient than
through pgpool.

=20

I supposed that load balance could increase the transactions per second
executed because each node could receive more load, but the results shown
below are not expected.

=20

This is the setup:

=20

Pgpool 3.6.1 whit connection pooling, streaming replication mode and load
balancing mode.

=20

2 PostgreSQL server 9.6.1 whit streaming replication.

=20

For the tests I used sysbench and pgbench.

=20

The results of sysbench:

=20


Concurrent Users

1

20

50

100


PostgreSQL (TPS) Direct

1166

20936

25743

27344


Pgpool (TPS)

2240

7628

7013

6135

=20

=20

The results of pgbench

=20

=09
1

20

50

100


PostgreSQL (TPS) Direct

1403

6805

6194

5726


Pgpool (TPS)

511

5430

5528

4705

=20

=20

As you can see in both cases even with load balance, the total transactions
per second are lower.

=20

Is this the expected behavior. Is there any way to allow more TPS when
pgpool is used?

=20

There are other publications with similar results:

=20

https://www.os3.nl/_media/2011-2012/courses/lia/rory_breuk_gerrie_veerman_-_
report.pdf    (page 28)

http://www.mail-archive.com/pgpool-general@pgfoundry.org/msg03326.html

=20

=20

Regards


------=_NextPart_002_0030_01D283B8.BE552D40
Content-Type: text/html;
	charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr=
osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:=
//www.w3.org/TR/REC-html40"><head><meta http-equiv=3DContent-Type content=
=3D"text/html; charset=3Diso-8859-1"><meta name=3DGenerator content=3D"Micr=
osoft Word 15 (filtered medium)"><!--[if !mso]><style>v\:* {behavior:url(#d=
efault#VML);}
o\:* {behavior:url(#default#VML);}
w\:* {behavior:url(#default#VML);}
.shape {behavior:url(#default#VML);}
</style><![endif]--><style><!--
/* Font Definitions */
@font-face
	{font-family:"Cambria Math";
	panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
	{font-family:Calibri;
	panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
	{margin:0cm;
	margin-bottom:.0001pt;
	font-size:11.0pt;
	font-family:"Calibri","sans-serif";}
a:link, span.MsoHyperlink
	{mso-style-priority:99;
	color:#0563C1;
	text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
	{mso-style-priority:99;
	color:#954F72;
	text-decoration:underline;}
p.msonormal0, li.msonormal0, div.msonormal0
	{mso-style-name:msonormal;
	mso-margin-top-alt:auto;
	margin-right:0cm;
	mso-margin-bottom-alt:auto;
	margin-left:0cm;
	font-size:12.0pt;
	font-family:"Times New Roman","serif";}
span.EstiloCorreo18
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:windowtext;}
span.EstiloCorreo19
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EstiloCorreo20
	{mso-style-type:personal;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
span.EstiloCorreo21
	{mso-style-type:personal-reply;
	font-family:"Calibri","sans-serif";
	color:#1F497D;}
.MsoChpDefault
	{mso-style-type:export-only;
	font-size:10.0pt;}
@page WordSection1
	{size:612.0pt 792.0pt;
	margin:70.85pt 3.0cm 70.85pt 3.0cm;}
div.WordSection1
	{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DES link=3D"#0563C1" v=
link=3D"#954F72"><div class=3DWordSection1><p class=3DMsoNormal><span style=
=3D'color:#1F497D;mso-fareast-language:EN-US'>Thank you very much for your =
explanation.<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'color=
:#1F497D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p></span></p><p class=
=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-language:EN-US'>The n=
um_init_children configuration parameter is bigger than concurrent users us=
ed in the test.<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'co=
lor:#1F497D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p></span></p><p clas=
s=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-language:EN-US'>Atta=
ched is the results of the test, as you can see with pgbench directly, the =
TPS amount are almost double.<o:p></o:p></span></p><p class=3DMsoNormal><sp=
an style=3D'color:#1F497D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p></sp=
an></p><p class=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-langua=
ge:EN-US'>The test was performed over two virtual machines with 4 processor=
s and 2 GB of RAM each one.<o:p></o:p></span></p><p class=3DMsoNormal><span=
 style=3D'color:#1F497D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p></span=
></p><p class=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-language=
:EN-US'>Pgbech was executed from other machine.<o:p></o:p></span></p><p cla=
ss=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-language:EN-US'><o:=
p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span style=3D'color:#1F497D;=
mso-fareast-language:EN-US'>Ubuntu Server 16.04, PostgreSQL 9.6.1, Pgpool-3=
.5.5.<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'color:#1F497=
D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNor=
mal><span style=3D'color:#1F497D;mso-fareast-language:EN-US'>Is there any w=
ay to increase the pgpool results?<o:p></o:p></span></p><p class=3DMsoNorma=
l><span style=3D'color:#1F497D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p=
></span></p><p class=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-l=
anguage:EN-US'>Regards.<o:p></o:p></span></p><p class=3DMsoNormal><span sty=
le=3D'color:#1F497D;mso-fareast-language:EN-US'><o:p>&nbsp;</o:p></span></p=
><p class=3DMsoNormal><span style=3D'color:#1F497D;mso-fareast-language:EN-=
US'><o:p>&nbsp;</o:p></span></p><div><div style=3D'border:none;border-top:s=
olid #E1E1E1 1.0pt;padding:3.0pt 0cm 0cm 0cm'><p class=3DMsoNormal><b>De:</=
b> David Sisk -X (dsisk - TEKSYSTEMS INC at Cisco) [mailto:dsisk@cisco.com]=
 <br><b>Enviado el:</b> viernes, 10 de febrero de 2017 04:58 p. m.<br><b>Pa=
ra:</b> Lazaro Garcia; pgpool-general@pgpool.net; pgsql-admin@postgresql.or=
g<br><b>Asunto:</b> RE: [pgpool-general: 5318] Why pgpool TPS is lowest ver=
sus postgresql direct connections?<o:p></o:p></p></div></div><p class=3DMso=
Normal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal><a name=3D"_MailEndCompose=
"><span lang=3DEN-US style=3D'color:#1F497D'>My immediate thought would be =
this:&nbsp; PGPool is much slower with a larger number of concurrent users =
because some of the connections are being queued by PGPool. Take a look at =
your num_init_children parameter&#8230;unlike most connection pooling layer=
s, PGPool doesn&#8217;t have separate config parameters for the initial num=
ber of backend connections and the max number of backend connections&#8230;=
num_init_children controls both.&nbsp; Increase num_init_children to at lea=
st the number of concurrent connections plus a few, and re-try the benchmar=
k tests.<o:p></o:p></span></a></p><p class=3DMsoNormal><span lang=3DEN-US s=
tyle=3D'color:#1F497D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><sp=
an lang=3DEN-US style=3D'color:#1F497D'>Also, the benefits of load balancin=
g don&#8217;t tend to show up well with pgbench or sysbench default benchma=
rks.&nbsp; PGPool imposes some overhead in determining which queries can be=
 load-balanced against a standby&#8230;with SELECT queries that execute in =
only a few milliseconds, it might take PGPool longer to make that decision =
than it would have to just send it straight to the primary. So, you won&#82=
17;t see the load balancing benefits with SELECT queries that execute in a =
few milliseconds, but when you send it SELECT queries that take a few secon=
ds or longer to execute you&#8217;ll start to see the benefits.&nbsp; You c=
ould create a custom benchmark that has some high-reduction queries that wo=
uld take a few seconds to execute, then run the benchmarks with that&#8230;=
you should then see scalability improvements from the load balancing.<o:p><=
/o:p></span></p><p class=3DMsoNormal><span lang=3DEN-US style=3D'color:#1F4=
97D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span lang=3DEN-US st=
yle=3D'color:#1F497D'>Hope this helps,<o:p></o:p></span></p><p class=3DMsoN=
ormal><span lang=3DEN-US style=3D'color:#1F497D'><o:p>&nbsp;</o:p></span></=
p><div><table class=3DMsoNormalTable border=3D0 cellspacing=3D0 cellpadding=
=3D0 width=3D543 style=3D'width:407.25pt'><tr><td colspan=3D3 style=3D'padd=
ing:0cm 0cm 0cm 0cm'><p class=3DMsoNormal><span style=3D'color:#1F497D'><im=
g width=3D543 height=3D70 id=3D"Picture_x0020_1" src=3D"cid:image001.png@01=
D283B7.1D588500" alt=3Dbanner2></span><span style=3D'font-size:12.0pt;font-=
family:"Times New Roman","serif";color:#1F497D'><o:p></o:p></span></p></td>=
</tr><tr style=3D'height:7.5pt'><td style=3D'padding:0cm 0cm 0cm 0cm;height=
:7.5pt'><p class=3DMsoNormal><span style=3D'font-size:1.0pt;font-family:"Ti=
mes New Roman","serif";color:#1F497D'>&nbsp;<o:p></o:p></span></p></td><td =
style=3D'padding:0cm 0cm 0cm 0cm;height:7.5pt'></td><td style=3D'padding:0c=
m 0cm 0cm 0cm;height:7.5pt'></td></tr><tr><td nowrap valign=3Dtop style=3D'=
padding:0cm 0cm 0cm 18.0pt'><p class=3DMsoNormal><b><span style=3D'font-siz=
e:8.5pt;font-family:"Arial","sans-serif";color:#666666'>David Sisk</span></=
b><span style=3D'font-size:8.5pt;font-family:"Arial","sans-serif";color:#66=
6666'><o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:8=
.5pt;font-family:"Arial","sans-serif";color:#666666'>Engineer - Software<o:=
p></o:p></span></p><p class=3DMsoNormal><a href=3D"mailto:dsisk@cisco.com">=
<span style=3D'font-size:8.5pt;font-family:"Arial","sans-serif";color:#6666=
66;text-decoration:none'>dsisk@cisco.com</span></a><span style=3D'color:#1F=
497D'><o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'font-size:8=
.5pt;font-family:"Arial","sans-serif";color:#666666'>Tel: <o:p></o:p></span=
></p></td><td width=3D275 valign=3Dtop style=3D'width:206.25pt;padding:0cm =
0cm 0cm 15.0pt'><p class=3DMsoNormal><b><span style=3D'font-size:8.5pt;font=
-family:"Arial","sans-serif";color:#666666'>Cisco Systems, Inc.<o:p></o:p><=
/span></b></p><p class=3DMsoNormal><span style=3D'font-size:8.5pt;font-fami=
ly:"Arial","sans-serif";color:#666666'>7025-6 Kit Creek Road PO Box 14987<b=
r>RESEARCH TRIANGLE PARK<br>27709-4987<br>United States<br>cisco.com<o:p></=
o:p></span></p></td><td style=3D'padding:0cm 0cm 0cm 0cm'></td></tr></table=
><p class=3DMsoNormal><span lang=3DEN-GB style=3D'font-size:12.0pt;font-fam=
ily:"Times New Roman","serif";color:#1F497D;display:none'><o:p>&nbsp;</o:p>=
</span></p><table class=3DMsoNormalTable border=3D0 cellspacing=3D0 cellpad=
ding=3D0 width=3D400 style=3D'width:300.0pt'><tr><td style=3D'padding:0cm 1=
5.0pt 0cm 18.0pt'><p class=3DMsoNormal><span style=3D'font-size:7.5pt;font-=
family:"Arial","sans-serif";color:#009900'><img border=3D0 width=3D18 heigh=
t=3D19 id=3D"Picture_x0020_3" src=3D"cid:image002.gif@01D283B7.1D588500" al=
t=3D"http://www.cisco.com/assets/swa/img/thinkbeforeyouprint.gif">Think bef=
ore you print.<o:p></o:p></span></p></td></tr><tr><td style=3D'padding:0cm =
15.0pt 0cm 18.0pt'><p class=3DMsoNormal><span style=3D'font-size:7.5pt;font=
-family:"Arial","sans-serif";color:#999999'>This email may contain confiden=
tial and privileged material for the sole use of the intended recipient. An=
y review, use, distribution or disclosure by others is strictly prohibited.=
 If you are not the intended recipient (or authorized to receive for the re=
cipient), please contact the sender by reply email and delete all copies of=
 this message.<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'fon=
t-size:7.5pt;font-family:"Arial","sans-serif";color:#999999'>Please </span>=
<a href=3D"http://www.cisco.com/web/about/doing_business/legal/cri/index.ht=
ml" title=3D"Legal Information"><span style=3D'font-size:7.5pt;font-family:=
"Arial","sans-serif";color:#0E58A0'>click here</span></a><span style=3D'fon=
t-size:7.5pt;font-family:"Arial","sans-serif";color:#999999'> for Company R=
egistration Information.<o:p></o:p></span></p></td></tr></table></div><p cl=
ass=3DMsoNormal><span lang=3DEN-US style=3D'color:#1F497D'><o:p>&nbsp;</o:p=
></span></p><div><div style=3D'border:none;border-top:solid #E1E1E1 1.0pt;p=
adding:3.0pt 0cm 0cm 0cm'><p class=3DMsoNormal><b><span lang=3DEN-US>From:<=
/span></b><span lang=3DEN-US> <a href=3D"mailto:pgpool-general-bounces@pgpo=
ol.net">pgpool-general-bounces@pgpool.net</a> [<a href=3D"mailto:pgpool-gen=
eral-bounces@pgpool.net">mailto:pgpool-general-bounces@pgpool.net</a>] <b>O=
n Behalf Of </b>Lazaro Garcia<br><b>Sent:</b> Thursday, February 9, 2017 5:=
00 AM<br><b>To:</b> <a href=3D"mailto:pgpool-general@pgpool.net">pgpool-gen=
eral@pgpool.net</a>; <a href=3D"mailto:pgsql-admin@postgresql.org">pgsql-ad=
min@postgresql.org</a><br><b>Subject:</b> [pgpool-general: 5318] Why pgpool=
 TPS is lowest versus postgresql direct connections?<o:p></o:p></span></p><=
/div></div><p class=3DMsoNormal><span lang=3DEN-US><o:p>&nbsp;</o:p></span>=
</p><p class=3DMsoNormal><span style=3D'color:#1F497D'>The correct results =
reported by sysbench was:<o:p></o:p></span></p><p class=3DMsoNormal><span s=
tyle=3D'color:#1F497D'><o:p>&nbsp;</o:p></span></p><table class=3DMsoNormal=
Table border=3D0 cellspacing=3D0 cellpadding=3D0 width=3D543 style=3D'width=
:407.0pt;border-collapse:collapse'><tr style=3D'height:15.0pt'><td width=3D=
223 nowrap valign=3Dbottom style=3D'width:167.0pt;border:solid windowtext 1=
.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal><span =
style=3D'color:black'>Concurrent Users<o:p></o:p></span></p></td><td width=
=3D80 nowrap valign=3Dbottom style=3D'width:60.0pt;border:solid windowtext =
1.0pt;border-left:none;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=
=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=3D'color:=
black'>1<o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dbottom st=
yle=3D'width:60.0pt;border:solid windowtext 1.0pt;border-left:none;padding:=
0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=
=3D'text-align:right'><span style=3D'color:black'>20<o:p></o:p></span></p><=
/td><td width=3D80 nowrap valign=3Dbottom style=3D'width:60.0pt;border:soli=
d windowtext 1.0pt;border-left:none;padding:0cm 3.5pt 0cm 3.5pt;height:15.0=
pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span sty=
le=3D'color:black'>50<o:p></o:p></span></p></td><td width=3D80 nowrap valig=
n=3Dbottom style=3D'width:60.0pt;border:solid windowtext 1.0pt;border-left:=
none;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal align=
=3Dright style=3D'text-align:right'><span style=3D'color:black'>100<o:p></o=
:p></span></p></td></tr><tr style=3D'height:15.0pt'><td width=3D223 nowrap =
valign=3Dbottom style=3D'width:167.0pt;border:solid windowtext 1.0pt;border=
-top:none;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal><=
span style=3D'color:black'>PostgreSQL<o:p></o:p></span></p></td><td width=
=3D80 nowrap valign=3Dbottom style=3D'width:60.0pt;border-top:none;border-l=
eft:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext=
 1.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal alig=
n=3Dright style=3D'text-align:right'><span style=3D'color:black'>3582<o:p><=
/o:p></span></p></td><td width=3D80 nowrap valign=3Dbottom style=3D'width:6=
0.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt=
;border-right:solid windowtext 1.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.=
0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span st=
yle=3D'color:black'>11943<o:p></o:p></span></p></td><td width=3D80 nowrap v=
align=3Dbottom style=3D'width:60.0pt;border-top:none;border-left:none;borde=
r-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding=
:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal align=3Dright styl=
e=3D'text-align:right'><span style=3D'color:black'>12852<o:p></o:p></span><=
/p></td><td width=3D80 nowrap valign=3Dbottom style=3D'width:60.0pt;border-=
top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right=
:solid windowtext 1.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=
=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=3D'color:=
black'>10618<o:p></o:p></span></p></td></tr><tr style=3D'height:15.0pt'><td=
 width=3D223 nowrap valign=3Dbottom style=3D'width:167.0pt;border:solid win=
dowtext 1.0pt;border-top:none;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p=
 class=3DMsoNormal><span style=3D'color:black'>Pgpool<o:p></o:p></span></p>=
</td><td width=3D80 nowrap valign=3Dbottom style=3D'width:60.0pt;border-top=
:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:so=
lid windowtext 1.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3D=
MsoNormal align=3Dright style=3D'text-align:right'><span style=3D'color:bla=
ck'>2240<o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dbottom st=
yle=3D'width:60.0pt;border-top:none;border-left:none;border-bottom:solid wi=
ndowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0cm 3.5pt 0cm 3.=
5pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:r=
ight'><span style=3D'color:black'>7628<o:p></o:p></span></p></td><td width=
=3D80 nowrap valign=3Dbottom style=3D'width:60.0pt;border-top:none;border-l=
eft:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext=
 1.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.0pt'><p class=3DMsoNormal alig=
n=3Dright style=3D'text-align:right'><span style=3D'color:black'>7013<o:p><=
/o:p></span></p></td><td width=3D80 nowrap valign=3Dbottom style=3D'width:6=
0.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt=
;border-right:solid windowtext 1.0pt;padding:0cm 3.5pt 0cm 3.5pt;height:15.=
0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span st=
yle=3D'color:black'>6135<o:p></o:p></span></p></td></tr></table><p class=3D=
MsoNormal><span style=3D'color:#1F497D'><o:p>&nbsp;</o:p></span></p><p clas=
s=3DMsoNormal><span style=3D'color:#1F497D'>Is there any way to tuning this=
 behavior?<o:p></o:p></span></p><p class=3DMsoNormal><span style=3D'color:#=
1F497D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span style=3D'col=
or:#1F497D'>Regards<o:p></o:p></span></p><p class=3DMsoNormal><span style=
=3D'color:#1F497D'><o:p>&nbsp;</o:p></span></p><p class=3DMsoNormal><span s=
tyle=3D'color:#1F497D'><o:p>&nbsp;</o:p></span></p><div><div style=3D'borde=
r:none;border-top:solid #E1E1E1 1.0pt;padding:3.0pt 0cm 0cm 0cm'><p class=
=3DMsoNormal><b>De:</b> Lazaro Garcia [<a href=3D"mailto:lazaro3487@gmail.c=
om">mailto:lazaro3487@gmail.com</a>] <br><b>Enviado el:</b> mi=E9rcoles, 8 =
de febrero de 2017 05:28 p. m.<br><b>Para:</b> 'pgpool-general@pgpool.net';=
 'pgsql-admin@postgresql.org'<br><b>Asunto:</b> Why pgpool TPS is lowest ve=
rsus postgresql direct connections?<o:p></o:p></p></div></div><p class=3DMs=
oNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>After installed Pgpool wi=
th 2 postgresql nodes with streaming replication, I have noticed that acces=
s directly to postgresql is more efficient than through pgpool.<o:p></o:p><=
/p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>I suppose=
d that load balance could increase the transactions per second executed bec=
ause each node could receive more load, but the results shown below are not=
 expected.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=
=3DMsoNormal>This is the setup:<o:p></o:p></p><p class=3DMsoNormal><o:p>&nb=
sp;</o:p></p><p class=3DMsoNormal>Pgpool 3.6.1 whit connection pooling, str=
eaming replication mode and load balancing mode.<o:p></o:p></p><p class=3DM=
soNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>2 PostgreSQL server 9.6.=
1 whit streaming replication.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp=
;</o:p></p><p class=3DMsoNormal>For the tests I used sysbench and pgbench.<=
o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNorma=
l>The results of sysbench:<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</=
o:p></p><table class=3DMsoNormalTable border=3D0 cellspacing=3D0 cellpaddin=
g=3D0 width=3D543 style=3D'width:407.0pt;border-collapse:collapse'><tr styl=
e=3D'height:15.0pt'><td width=3D223 nowrap valign=3Dtop style=3D'width:167.=
0pt;border:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt=
'><p class=3DMsoNormal><span style=3D'color:black'>Concurrent Users<o:p></o=
:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt=
;border:solid windowtext 1.0pt;border-left:none;padding:0cm 5.4pt 0cm 5.4pt=
;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:righ=
t'><span style=3D'color:black'>1<o:p></o:p></span></p></td><td width=3D80 n=
owrap valign=3Dtop style=3D'width:60.0pt;border:solid windowtext 1.0pt;bord=
er-left:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNorma=
l align=3Dright style=3D'text-align:right'><span style=3D'color:black'>20<o=
:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:=
60.0pt;border:solid windowtext 1.0pt;border-left:none;padding:0cm 5.4pt 0cm=
 5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-alig=
n:right'><span style=3D'color:black'>50<o:p></o:p></span></p></td><td width=
=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border:solid windowtext 1.0=
pt;border-left:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DM=
soNormal align=3Dright style=3D'text-align:right'><span style=3D'color:blac=
k'>100<o:p></o:p></span></p></td></tr><tr style=3D'height:15.0pt'><td width=
=3D223 nowrap valign=3Dtop style=3D'width:167.0pt;border:solid windowtext 1=
.0pt;border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3D=
MsoNormal><span style=3D'color:black'>PostgreSQL (TPS) Direct<o:p></o:p></s=
pan></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;borde=
r-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-rig=
ht:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p cla=
ss=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=3D'colo=
r:black'>1166<o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop =
style=3D'width:60.0pt;border-top:none;border-left:none;border-bottom:solid =
windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm =
5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align=
:right'><span style=3D'color:black'>20936<o:p></o:p></span></p></td><td wid=
th=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border-top:none;border-le=
ft:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext =
1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNormal align=
=3Dright style=3D'text-align:right'><span style=3D'color:black'>25743<o:p><=
/o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:60.0=
pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;bo=
rder-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt=
'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=
=3D'color:black'>27344<o:p></o:p></span></p></td></tr><tr style=3D'height:1=
5.0pt'><td width=3D223 nowrap valign=3Dtop style=3D'width:167.0pt;border:so=
lid windowtext 1.0pt;border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.=
0pt'><p class=3DMsoNormal><span style=3D'color:black'>Pgpool (TPS)<o:p></o:=
p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;=
border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;borde=
r-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><=
p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=3D=
'color:black'>2240<o:p></o:p></span></p></td><td width=3D80 nowrap valign=
=3Dtop style=3D'width:60.0pt;border-top:none;border-left:none;border-bottom=
:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0cm 5.4=
pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'tex=
t-align:right'><span style=3D'color:black'>7628<o:p></o:p></span></p></td><=
td width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border-top:none;bor=
der-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windo=
wtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNormal=
 align=3Dright style=3D'text-align:right'><span style=3D'color:black'>7013<=
o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width=
:60.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0=
pt;border-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:1=
5.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span =
style=3D'color:black'>6135<o:p></o:p></span></p></td></tr></table><p class=
=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p=
><p class=3DMsoNormal>The results of pgbench<o:p></o:p></p><p class=3DMsoNo=
rmal><o:p>&nbsp;</o:p></p><table class=3DMsoNormalTable border=3D0 cellspac=
ing=3D0 cellpadding=3D0 width=3D457 style=3D'width:343.0pt;border-collapse:=
collapse'><tr style=3D'height:15.0pt'><td width=3D137 nowrap valign=3Dtop s=
tyle=3D'width:103.0pt;border:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5=
.4pt;height:15.0pt'></td><td width=3D80 nowrap valign=3Dtop style=3D'width:=
60.0pt;border:solid windowtext 1.0pt;border-left:none;padding:0cm 5.4pt 0cm=
 5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-alig=
n:right'><span style=3D'color:black'>1<o:p></o:p></span></p></td><td width=
=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border:solid windowtext 1.0=
pt;border-left:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DM=
soNormal align=3Dright style=3D'text-align:right'><span style=3D'color:blac=
k'>20<o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D=
'width:60.0pt;border:solid windowtext 1.0pt;border-left:none;padding:0cm 5.=
4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'te=
xt-align:right'><span style=3D'color:black'>50<o:p></o:p></span></p></td><t=
d width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border:solid windowt=
ext 1.0pt;border-left:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p cl=
ass=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=3D'col=
or:black'>100<o:p></o:p></span></p></td></tr><tr style=3D'height:15.0pt'><t=
d width=3D137 nowrap valign=3Dtop style=3D'width:103.0pt;border:solid windo=
wtext 1.0pt;border-top:none;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p c=
lass=3DMsoNormal><span style=3D'color:black'>PostgreSQL (TPS) Direct<o:p></=
o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:60.0p=
t;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;bor=
der-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'=
><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span style=
=3D'color:black'>1403<o:p></o:p></span></p></td><td width=3D80 nowrap valig=
n=3Dtop style=3D'width:60.0pt;border-top:none;border-left:none;border-botto=
m:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0cm 5.=
4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'te=
xt-align:right'><span style=3D'color:black'>6805<o:p></o:p></span></p></td>=
<td width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border-top:none;bo=
rder-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid wind=
owtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNorma=
l align=3Dright style=3D'text-align:right'><span style=3D'color:black'>6194=
<o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'widt=
h:60.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.=
0pt;border-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:=
15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span=
 style=3D'color:black'>5726<o:p></o:p></span></p></td></tr><tr style=3D'hei=
ght:15.0pt'><td width=3D137 nowrap valign=3Dtop style=3D'width:103.0pt;bord=
er:solid windowtext 1.0pt;border-top:none;padding:0cm 5.4pt 0cm 5.4pt;heigh=
t:15.0pt'><p class=3DMsoNormal><span style=3D'color:black'>Pgpool (TPS)<o:p=
></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'width:60=
.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;=
border-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0=
pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><span sty=
le=3D'color:black'>511<o:p></o:p></span></p></td><td width=3D80 nowrap vali=
gn=3Dtop style=3D'width:60.0pt;border-top:none;border-left:none;border-bott=
om:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0cm 5=
.4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNormal align=3Dright style=3D't=
ext-align:right'><span style=3D'color:black'>5430<o:p></o:p></span></p></td=
><td width=3D80 nowrap valign=3Dtop style=3D'width:60.0pt;border-top:none;b=
order-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid win=
dowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height:15.0pt'><p class=3DMsoNorm=
al align=3Dright style=3D'text-align:right'><span style=3D'color:black'>552=
8<o:p></o:p></span></p></td><td width=3D80 nowrap valign=3Dtop style=3D'wid=
th:60.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1=
.0pt;border-right:solid windowtext 1.0pt;padding:0cm 5.4pt 0cm 5.4pt;height=
:15.0pt'><p class=3DMsoNormal align=3Dright style=3D'text-align:right'><spa=
n style=3D'color:black'>4705<o:p></o:p></span></p></td></tr></table><p clas=
s=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></=
p><p class=3DMsoNormal>As you can see in both cases even with load balance,=
 the total transactions per second are lower.<o:p></o:p></p><p class=3DMsoN=
ormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Is this the expected behavi=
or. Is there any way to allow more TPS when pgpool is used?<o:p></o:p></p><=
p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>There are oth=
er publications with similar results:<o:p></o:p></p><p class=3DMsoNormal><o=
:p>&nbsp;</o:p></p><p class=3DMsoNormal><a href=3D"https://www.os3.nl/_medi=
a/2011-2012/courses/lia/rory_breuk_gerrie_veerman_-_report.pdf">https://www=
.os3.nl/_media/2011-2012/courses/lia/rory_breuk_gerrie_veerman_-_report.pdf=
</a>&nbsp;&nbsp;&nbsp; (page 28)<o:p></o:p></p><p class=3DMsoNormal><a href=
=3D"http://www.mail-archive.com/pgpool-general@pgfoundry.org/msg03326.html"=
>http://www.mail-archive.com/pgpool-general@pgfoundry.org/msg03326.html</a>=
<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNorm=
al><o:p>&nbsp;</o:p></p><p class=3DMsoNormal>Regards<o:p></o:p></p></div></=
body></html>=

------=_NextPart_002_0030_01D283B8.BE552D40--

------=_NextPart_001_002F_01D283B8.BE552D40
Content-Type: image/png;
	name="image001.png"
Content-Transfer-Encoding: base64
Content-ID: <image001.png@01D283B7.1D588500>
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------=_NextPart_001_002F_01D283B8.BE552D40
Content-Type: image/gif;
	name="image002.gif"
Content-Transfer-Encoding: base64
Content-ID: <image002.gif@01D283B7.1D588500>

R0lGODlhEgATAIEAAAAAAP///wCZAP///yH/C05FVFNDQVBFMi4wAwEBAAAh
+QQBAAADACwAAAAAEgATAAAIRAADCBxIsKDBgwEECEB4UKFChgYfQiTocOHE
hBUtTqx4ESNHiBkddpQ4MKTJkAJPqgSpMmPEliRLwny5smBLhCZZKgwIADs=

------=_NextPart_001_002F_01D283B8.BE552D40--

------=_NextPart_000_002E_01D283B8.BE552D40
Content-Type: application/octet-stream;
	name="pgbench_direct.log"
Content-Transfer-Encoding: quoted-printable
Content-Disposition: attachment;
	filename="pgbench_direct.log"

---------------------------------------------------------------------------=
-=0A=
--------------------------------------------TEST 1-------------------------=
-=0A=
---------------------------------------------------------------------------=
-=0A=
Running 1:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 1=0A=
number of threads: 1=0A=
duration: 180 s=0A=
number of transactions actually processed: 515595=0A=
latency average =3D 0.349 ms=0A=
tps =3D 2864.412259 (including connections establishing)=0A=
tps =3D 2864.524787 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 20:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 20=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 3626869=0A=
latency average =3D 0.993 ms=0A=
tps =3D 20147.044743 (including connections establishing)=0A=
tps =3D 20148.557189 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 50:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 50=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 4203577=0A=
latency average =3D 2.142 ms=0A=
tps =3D 23346.451038 (including connections establishing)=0A=
tps =3D 23347.811378 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 100:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 100=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 3795713=0A=
latency average =3D 4.745 ms=0A=
tps =3D 21074.488883 (including connections establishing)=0A=
tps =3D 21076.215422 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
---------------------------------------------------------------------------=
-=0A=
--------------------------------------------TEST 2-------------------------=
-=0A=
---------------------------------------------------------------------------=
-=0A=
Running 1:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 1=0A=
number of threads: 1=0A=
duration: 180 s=0A=
number of transactions actually processed: 517131=0A=
latency average =3D 0.348 ms=0A=
tps =3D 2872.946967 (including connections establishing)=0A=
tps =3D 2873.089568 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 20:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 20=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 3630947=0A=
latency average =3D 0.992 ms=0A=
tps =3D 20169.749557 (including connections establishing)=0A=
tps =3D 20171.050046 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 50:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 50=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 4114691=0A=
latency average =3D 2.188 ms=0A=
tps =3D 22853.149060 (including connections establishing)=0A=
tps =3D 22854.600288 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 100:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 100=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 3936629=0A=
latency average =3D 4.575 ms=0A=
tps =3D 21859.273857 (including connections establishing)=0A=
tps =3D 21860.695247 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
---------------------------------------------------------------------------=
-=0A=
--------------------------------------------TEST 3-------------------------=
-=0A=
---------------------------------------------------------------------------=
-=0A=
Running 1:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 1=0A=
number of threads: 1=0A=
duration: 180 s=0A=
number of transactions actually processed: 518733=0A=
latency average =3D 0.347 ms=0A=
tps =3D 2881.847695 (including connections establishing)=0A=
tps =3D 2881.974982 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 20:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 20=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 3639331=0A=
latency average =3D 0.989 ms=0A=
tps =3D 20215.457963 (including connections establishing)=0A=
tps =3D 20216.542866 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 50:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 50=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 4111792=0A=
latency average =3D 2.189 ms=0A=
tps =3D 22837.284713 (including connections establishing)=0A=
tps =3D 22838.669869 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 100:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 100=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 3909104=0A=
latency average =3D 4.608 ms=0A=
tps =3D 21702.219998 (including connections establishing)=0A=
tps =3D 21703.721390 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=

------=_NextPart_000_002E_01D283B8.BE552D40
Content-Type: application/octet-stream;
	name="pgbench_pgpool.log"
Content-Transfer-Encoding: quoted-printable
Content-Disposition: attachment;
	filename="pgbench_pgpool.log"

---------------------------------------------------------------------------=
-=0A=
--------------------------------------------TEST 1-------------------------=
-=0A=
---------------------------------------------------------------------------=
-=0A=
Running 1:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 1=0A=
number of threads: 1=0A=
duration: 180 s=0A=
number of transactions actually processed: 344959=0A=
latency average =3D 0.522 ms=0A=
tps =3D 1916.437526 (including connections establishing)=0A=
tps =3D 1916.519553 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 20:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 20=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 1888405=0A=
latency average =3D 1.906 ms=0A=
tps =3D 10490.985720 (including connections establishing)=0A=
tps =3D 10491.888045 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 50:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 50=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 2116841=0A=
latency average =3D 4.252 ms=0A=
tps =3D 11759.920909 (including connections establishing)=0A=
tps =3D 11761.053022 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 100:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 100=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 2170953=0A=
latency average =3D 8.292 ms=0A=
tps =3D 12059.674852 (including connections establishing)=0A=
tps =3D 12060.283650 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
---------------------------------------------------------------------------=
-=0A=
--------------------------------------------TEST 2-------------------------=
-=0A=
---------------------------------------------------------------------------=
-=0A=
Running 1:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 1=0A=
number of threads: 1=0A=
duration: 180 s=0A=
number of transactions actually processed: 338330=0A=
latency average =3D 0.532 ms=0A=
tps =3D 1879.608093 (including connections establishing)=0A=
tps =3D 1879.627725 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 20:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 20=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 1880853=0A=
latency average =3D 1.914 ms=0A=
tps =3D 10449.080468 (including connections establishing)=0A=
tps =3D 10449.459402 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 50:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 50=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 2120724=0A=
latency average =3D 4.244 ms=0A=
tps =3D 11781.369653 (including connections establishing)=0A=
tps =3D 11782.259550 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 100:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 100=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 2111598=0A=
latency average =3D 8.525 ms=0A=
tps =3D 11730.085087 (including connections establishing)=0A=
tps =3D 11730.612164 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
---------------------------------------------------------------------------=
-=0A=
--------------------------------------------TEST 3-------------------------=
-=0A=
---------------------------------------------------------------------------=
-=0A=
Running 1:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 1=0A=
number of threads: 1=0A=
duration: 180 s=0A=
number of transactions actually processed: 334878=0A=
latency average =3D 0.538 ms=0A=
tps =3D 1860.432755 (including connections establishing)=0A=
tps =3D 1860.455566 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 20:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 20=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 1808094=0A=
latency average =3D 1.991 ms=0A=
tps =3D 10044.873528 (including connections establishing)=0A=
tps =3D 10045.043983 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 50:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 50=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 2192285=0A=
latency average =3D 4.105 ms=0A=
tps =3D 12178.863605 (including connections establishing)=0A=
tps =3D 12179.610830 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=
Running 100:=0A=
transaction type: <builtin: select only>=0A=
scaling factor: 10=0A=
query mode: simple=0A=
number of clients: 100=0A=
number of threads: 4=0A=
duration: 180 s=0A=
number of transactions actually processed: 2155324=0A=
latency average =3D 8.352 ms=0A=
tps =3D 11972.954634 (including connections establishing)=0A=
tps =3D 11973.505128 (excluding connections establishing)=0A=
=0A=
=0A=
=0A=
=0A=

------=_NextPart_000_002E_01D283B8.BE552D40
Content-Type: text/plain
Content-Disposition: inline
Content-Transfer-Encoding: 8bit
MIME-Version: 1.0


-- 
Sent via pgsql-admin mailing list (pgsql-admin@postgresql.org)
To make changes to your subscription:
http://www.postgresql.org/mailpref/pgsql-admin

------=_NextPart_000_002E_01D283B8.BE552D40--