Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtp (Exim 4.84_2) (envelope-from ) id 1eCNRz-0000B7-LP for pgsql-sql@arkaria.postgresql.org; Wed, 08 Nov 2017 10:19:16 +0000 Received: from localhost ([127.0.0.1] helo=postgresql.org) by malur.postgresql.org with smtp (Exim 4.84_2) (envelope-from ) id 1eCNRz-0006je-6S for pgsql-sql@arkaria.postgresql.org; Wed, 08 Nov 2017 10:19:15 +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 ) id 1eCNQw-0004tR-Il for pgsql-sql@postgresql.org; Wed, 08 Nov 2017 10:18:10 +0000 Received: from post.visena.com ([46.226.10.50]) by makus.postgresql.org with esmtps (TLS1.2:DHE_RSA_AES_256_CBC_SHA1:256) (Exim 4.84_2) (envelope-from ) id 1eCNQq-0004L0-0S for pgsql-sql@postgresql.org; Wed, 08 Nov 2017 10:18:09 +0000 DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=relaxed/relaxed; d=visena.com; s=20141101.wh; h=Content-Type:MIME-Version:Subject:Message-ID:To:From:Date; bh=7+JTqJxPQzFTPLRnfOPyotNoDdrNy8GW0cwMG4ffXRQ=; b=ZFtuy4b6AuF7VKUC+coMIaL0LjcD1tI+Bn1P71TLgyZ+E5h2tzhSRQbQKgDSvIwnteGtvt8/bUpW7enPvxbkEbeclkKwDnZrd8+CoUgA+KeeEPz3uLluWL7RB3NjNub8cm9z/QhJIUT4uDh1D9gpw7eTeJ8oPATn9xJd8bzy/m4=; Received: from [10.0.1.10] (helo=tc7-visena.wh.internal.visena.com) by post.visena.com with esmtp (Exim 4.82) (envelope-from ) id 1eCNQl-0005Pb-8j for pgsql-sql@postgresql.org; Wed, 08 Nov 2017 11:18:01 +0100 Received: from localhost ([127.0.0.1] helo=tc7-visena.wh.internal.visena.com) by tc7-visena.wh.internal.visena.com with esmtp (Exim 4.86_2) (envelope-from ) id 1eCNQR-0002aT-EH for pgsql-sql@postgresql.org; Wed, 08 Nov 2017 11:17:39 +0100 Date: Wed, 8 Nov 2017 11:17:39 +0100 (CET) From: Andreas Joseph Krogh To: pgsql-sql@postgresql.org Message-ID: Subject: Problems with PARTITION BY with count() in window-func MIME-Version: 1.0 X-Mailer: Visena Mail 2.1.0-SNAPSHOT X-Spam-Score: -1.0 X-Spam-Report: SpamAssasin (score=-1.0, required 5.0 ALL_TRUSTED=-1,HTML_MESSAGE=0.001) Content-Type: multipart/related; boundary="----=_Part_211_1387136177.1510136259305" List-Archive: List-Help: List-ID: List-Owner: List-Post: List-Subscribe: List-Unsubscribe: X-Mailing-List: pgsql-sql Precedence: bulk Sender: pgsql-sql-owner@postgresql.org ------=_Part_210_320376715.1510136259305 Content-Type: multipart/related; boundary="----=_Part_211_1387136177.1510136259305" ------=_Part_211_1387136177.1510136259305 Content-Type: multipart/alternative; boundary="----=_Part_212_1351629998.1510136259326" ------=_Part_212_1351629998.1510136259326 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Hi all. =C2=A0 I'm trying to count()=C2=A0all log-entries per activity per month in a sepa= rate=20 column using count() over(partition by ...) but get an error I don't unders= tand. =C2=A0 Here's the schema: =C2=A0 CREATE TABLE log_entry( entity_id SERIAL PRIMARY KEY, start_date DATE NOT N= ULL , activity_idBIGINT NOT NULL ); INSERT INTO log_entry(start_date, activity_= id)=20 VALUES('2017-01-01', 1) , ('2017-01-02', 1) , ('2017-01-03', 2) , ('2017-01= -04', 2) , ('2017-02-01', 1) , ('2017-02-01', 2) , ('2017-02-01', 1) , ('2017-02-= 02',=20 1) , ('2017-02-02', 1) , ('2017-02-03', 1); When issuing this query: select= =20 date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) AS month ,= log .activity_id ,count(log.entity_id) AS num_logs , count(log.entity_id) OVER= =20 total_for_month_windowAS total_for_month FROM log_entry log WHERE 1 =3D 1 A= ND=20 date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) BETWEEN=20 '2017-01-01'::DATE AND '2017-05-01'::DATE GROUP BY month, log.activity_id, = log .entity_id WINDOW total_for_month_window AS (PARTITION BY date_trunc('month= ',=20 log.start_date::TIMESTAMP WITHOUT TIME ZONE)) ORDER BY date_trunc('month', = log .start_date::TIMESTAMP WITHOUT TIME ZONE) ASC ;=20 =C2=A0 I get this: =C2=A0 =C2=A0 month activity_id num_logs total_for_month 2017-01-01 00:00:00.000000 1 1 4= =20 2017-01-01 00:00:00.000000 1 1 4 2017-01-01 00:00:00.000000 2 1 4 2017-01-0= 1=20 00:00:00.000000 2 1 4 2017-02-01 00:00:00.000000 1 1 6 2017-02-01=20 00:00:00.000000 2 1 6 2017-02-01 00:00:00.000000 1 1 6 2017-02-01=20 00:00:00.000000 1 1 6 2017-02-01 00:00:00.000000 1 1 6 2017-02-01=20 00:00:00.000000 1 1 6=20 =C2=A0 =C2=A0 =C2=A0 But what I really want is this result: =C2=A0 month activity_id num_logs total_for_month 2017-01-01 00:00:00.000000 1 2 4= =20 2017-01-01 00:00:00.000000 2 2 4 2017-02-01 00:00:00.000000 1 5 6 2017-02-0= 1=20 00:00:00.000000 2 1 6=20 =C2=A0 =C2=A0 that is, not having to group by log.entity_id, trying like this: =C2=A0 select date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) AS= =20 month , log.activity_id , count(log.entity_id) AS num_logs , count(log .entity_id)OVER total_for_month_window AS total_for_month FROM log_entry lo= g=20 WHERE1 =3D 1 AND date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME= ZONE)=20 BETWEEN'2017-01-01'::DATE AND '2017-05-01'::DATE GROUP BY month, log.activi= ty_id WINDOWtotal_for_month_window AS (PARTITION BY date_trunc('month', log .start_date::TIMESTAMP WITHOUT TIME ZONE)) ORDER BY date_trunc('month', log .start_date::TIMESTAMP WITHOUT TIME ZONE) ASC ;=20 =C2=A0 Note the missing log.entity_id in GROUP BY.=C2=A0 =C2=A0 but this gives the error: =C2=A0 [42803] column "log.entity_id" must appear in the GROUP BY clause or be use= d=20 in an aggregate function Details =C2=A0 =C2=A0 Any idea how to solve this? =C2=A0 Thanks. =C2=A0 =C2=A0 -- Andreas Joseph Krogh CTO / Partner - Visena AS Mobile: +47 909 56 963 andreas@visena.com www.visena.com ------=_Part_212_1351629998.1510136259326 Content-Type: text/html;charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi all.
=C2=A0
I'm trying to count()=C2=A0all log-entries per activity per month in a= separate column using count() over(partition by ...) but get an error I do= n't understand.
=C2=A0
Here's the schema:
=C2=A0
CREATE TABLE log_ent=
ry(
    entity_id SERIAL PRIMAR=
Y KEY,
    start_date DATE NOT NUL=
L,
    activity_id BIGINT NOT =
NULL
);

INSERT INTO log_entr=
y(start_date, activity_id)
VALUES ('2017-01-01', 1)
, ('2017-01-02', 1)
, ('2017-01-03', 2)
, ('2017-01-04', 2)
, ('2017-02-01', 1)
, ('2017-02-01', 2)
, ('2017-02-01', 1)
, ('2017-02-02', 1)
, ('2017-02-02', 1)
, ('2017-02-03', 1);



When issuing this query:


select
      date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) AS month
    , log.activity_id
    , count(log.entity_id) AS num_logs
    , count(log.entity_id) OVER total_for_month_window AS total_for_month
FROM
    log_entry=
 log
WHERE 1 =3D 1
      AND date_=
trunc('month'=
, log.start_date::TIMESTAMP WITHOUT TIME ZONE) BETWEEN '2017-01-01'::DATE AND '2017-05-01'::DATE
GROUP BY month, log.activity_id, log<=
span style=3D"background-color:#FFFF00;">.entity_id
WINDOW total_for_mon=
th_window AS (PARTITION BY date_trunc('month', log.start_date::=
TIMESTAMP WITHOUT TIME ZONE))

ORDER BY date_trunc('month', log.start_date::=
TIMESTAMP WITHOUT TIME ZONE) ASC
;
=C2=A0
I get this:
=C2=A0
=C2=A0
=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09
monthactivity_idnum_logstotal_for_month
2017-01-01 00:00:00.000000114
2017-01-01 00:00:00.000000114
2017-01-01 00:00:00.000000214
2017-01-01 00:00:00.000000214
2017-02-01 00:00:00.000000116
2017-02-01 00:00:00.000000216
2017-02-01 00:00:00.000000116
2017-02-01 00:00:00.000000116
2017-02-01 00:00:00.000000116
2017-02-01 00:00:00.000000116
=C2=A0
=C2=A0
=C2=A0
But what I really want is this result:
=C2=A0
=09=09 =09=09 =09=09 =09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09=09 =09=09=09 =09=09=09 =09=09=09 =09=09=09 =09=09 =09
monthactivity_idnum_logstotal_for_month
2017-01-01 00:00:00.000000124
2017-01-01 00:00:00.000000224
2017-02-01 00:00:00.000000156
2017-02-01 00:00:00.000000216
=C2=A0
=C2=A0
that is, not having to group by log.entity_id, trying like this:
=C2=A0

select
      date_trunc('month', log.start_date::TIMESTAMP WITHOUT TIME ZONE) AS month
    , log.activity_id
    , count(log.entity_id) AS num_logs
    , count(log.entity_id) OVER total_for_month_window AS total_for_month
FROM
    log_entry=
 log
WHERE 1 =3D 1
      AND date_=
trunc('month'=
, log.start_date::TIMESTAMP WITHOUT TIME ZONE) BETWEEN '2017-01-01'::DATE AND '2017-05-01'::DATE
GROUP BY month, log.activity_id
WINDOW total_for_mon=
th_window AS (PARTITION BY date_trunc('month', log.start_date::=
TIMESTAMP WITHOUT TIME ZONE))

ORDER BY date_trunc('month', log.start_date::=
TIMESTAMP WITHOUT TIME ZONE) ASC
;
=C2=A0
Note the missing log.entity_id in GROUP BY.=C2=A0
=C2=A0
but this gives the error:
=C2=A0
[42803] column "log.entity_id" must appear in the GROUP BY c= lause or be used in an aggregate function
Details
=C2=A0
=C2=A0
Any idea how to solve this?
=C2=A0
Thanks.
=C2=A0
=C2=A0
--
Andrea= s Joseph Krogh
CTO / Partner<= /span> - Visena AS
Mobile: +47 90= 9 56 963
=3D""
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