I have a table M_DAILY with fields
PS_DATE date,
tp int,
ep int,
mp int,
and have a working version of a user defined function nvl(x,y) which returns x if not null and y if x is null
My MySQL query is-
select sum(avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(tp,0) else 0 end))tp, sum(avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(ep,0) else 0 end)) ep, sum(avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(mp,0) else 0 end)) mp
from M_DAILY
where PS_DATE >= date ('2005-01-01') and PS_DATE <= date ('2005-12-31')
group by PS_DATE;
I get the following error
#1111 - Invalid use of group function in mysql
Please help.
SUM(), COUNT(), AVG(), MIN(), MAX(), etc. are aggregate functions that
requires you to specify a GROUP BY, unless you're using them on every
column in your SELECT-list.
Remove Group By Clause
Try this
SELECT SUM(tp),SUM(ep),SUM(mp) FROM
(
SELECT Avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(tp,0) else 0 end) tp,
Avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(ep,0) else 0 end) ep,
Avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(mp,0) else 0 end) mp
FROM M_DAILY
WHERE PS_DATE >= date ('2005-01-01') and PS_DATE <= date ('2005-12-31');
) As T
Related
Below is the Invoices table:
I am trying to make a sql query which gives me output based on due_date range with the sum of balance_amount group by company_id
My try:
select invoices.company_id,
SUM(invoices_cmonth.balance_amount) as cmonth,
SUM(invoices_1month.balance_amount) as 1month,
SUM(invoices_2month.balance_amount) as 2month
from `invoices`
LEFT JOIN invoices invoices_cmonth
ON (invoices.company_id = invoices_cmonth.company_id and invoices_cmonth.due_date >= '2021-11-10')
LEFT JOIN invoices invoices_1month
ON (invoices.company_id = invoices_1month.company_id and invoices_1month.due_date < '2021-11-10' and invoices_1month.due_date >= '2021-10-10')
LEFT JOIN invoices invoices_2month
ON (invoices.company_id = invoices_2month.company_id and invoices_2month.due_date < '2021-10-10' and invoices_2month.due_date >= '2021-9-10')
where invoices.`status` = 'ACTIVE'
and invoices.`balance_amount` > 0
and `invoices`.`deleted_at` is null
group by invoices.`company_id`
But it is giving me wrong figures in balance amount.
I suggest just making a single pass over the invoices table using conditional aggregation for the various time windows:
SELECT
company_id,
SUM(CASE WHEN due_date >= '2021-11-10' THEN balance_amount ELSE 0 END) AS cmonth,
SUM(CASE WHEN due_date >= '2021-10-10' AND due_date < '2021-11-10'
THEN balance_amount ELSE 0 END) AS 1month,
SUM(CASE WHEN due_date >= '2021-09-10' AND due_date < '2021-10-10'
THEN balance_amount ELSE 0 END) AS 2month
FROM invoices
WHERE
status = 'ACTIVE' AND balance_amount > 0 AND deleted_at IS NULL
GROUP BY
company_id;
Currently I have 2 tables, a listing table and a logs table. With the following query I'm trying to get the listings of a product on a particular day, and it returns the right output.
with X as (
select
l.*,
(select status_from from logs where logs.refno = l.refno and logs.logtime >= '2021-10-01' order by logs.logtime limit 1) logstat
from listings l
where l.added_date < '2021-10-01'
)
, Y as (select X.*, ifnull(X.logstat, X.status) stat from X)
SELECT
status.text,
COUNT(Y.id) AS c
from status
left join Y on Y.stat = status.code
group by status.code, status.text;
This gives an output like this:
Here I've filtered the query by 1 date which in this case is 2021-10-01. Now I have 2 input forms where the user can select a from date and a to date. So I want to be able to get all the data between the date range provided. So basically if I choose a date between 2021-10-01 and 2021-10-02, it should show everything on and between that date. The output should look like:
Date
Publish
Action
Let
Sold
Draft
2021-10-01
0
3
0
1
1
2021-10-02
0
2
0
1
2
Dbfiddle: https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=5e0b8d484a41ac9104d0fb002e7f9a3c
I've formatted the table to show the entries in a row wise manner with the following query:
with X as (
select l.*,
(select status_from from logs where logs.refno = l.refno and logs.logtime >= '2021-10-01' order by logs.logtime limit 1) logstat
from listings l
where l.added_date < '2021-10-01'
)
, Y as (select X.*, ifnull(X.logstat, X.status) stat20211001 from X)
SELECT
sum(case when status.text= 'Action' and Y.id is not null then 1 else 0 end) as `Action`,
sum(case when status.text= 'Draft' and Y.id is not null then 1 else 0 end) as `Draft`,
sum(case when status.text= 'Let' and Y.id is not null then 1 else 0 end) as `Let`,
sum(case when status.text= 'Sold' and Y.id is not null then 1 else 0 end) as `Sold`,
sum(case when status.text= 'Publish' and Y.id is not null then 1 else 0 end) as `Publish`
from status
left join Y on Y.stat20211001 = status.code
Output for this statement:
If you open my dbfiddle and enter date as 2021-10-01 it gives correct output and if you enter 2021-10-02 it shows correct output. Now I just want a way to show these both together. Also if it is suppose 2021-10-01 and 2021-10-05, it should show everything in middle too which means 2021-10-01, 2021-10-02, 2021-10-03, 2021-10-04 and 2021-10-05
Your listings.added_date column has the DATETIME data type. Therefore, to select a date range of 2021-10-01 to 2021-10-02 you need to do this.
WHERE added_date >= '2021-10-01'
AND added_date < '2021-10-02' + INTERVAL 1 DAY
This pulls in all the rows from midnight on 1-October, up to but not including midnight on 3-October.
If you want to aggregate your results by day, you can use GROUP BY DATE(added_date).
A sample query -- to show all days in September -- might look like this:
SELECT DATE(added_date) day,
SUM(CASE WHEN status.text= 'Action' THEN 1 ELSE 0 END) AS `Action`,
SUM(CASE WHEN status.text= 'Draft' THEN 1 ELSE 0 END) AS `Draft`,
SUM(CASE WHEN status.text= 'Let' THEN 1 ELSE 0 END) AS `Let`
FROM tbl
WHERE added_date >= '2021-09-01'
AND added_date < '2021-09-01' + INTERVAL 1 MONTH
GROUP BY DATE(added_date);
Sorry to say, I don't understand how your sample query works well enough to rewrite it with GROUP BY. But this should get you started.
I Have wrote sql query something like this :
SELECT `petugas_input`,
COUNT(`petugas_input`) AS `01-MAR`,
COUNT(`petugas_input`) AS `02-MAR`,
COUNT(`petugas_input`) AS `03-MAR`
FROM `tabel_arsip`
WHERE `tgl_input_arsip`>='2016-03-01 00:00:00' AND `tgl_input_arsip`<='2016-03-01 23:59:59'
GROUP BY `petugas_input`
and its generate result like this
My question is how to add criteria to the aliases column so that it will show different value on different date. (not the same value in the date column as above)
You'd have to rely on a little complex grouping:
SELECT
`petugas_input`,
SUM(CASE WHEN DATE(tgl_input_arsip) = '2016-03-01' THEN 1 ELSE 0 END) AS `01-MAR`,
SUM(CASE WHEN DATE(tgl_input_arsip) = '2016-03-02' THEN 1 ELSE 0 END) AS `02-MAR`,
SUM(CASE WHEN DATE(tgl_input_arsip) = '2016-03-03' THEN 1 ELSE 0 END) AS `03-MAR`,
FROM `tabel_arsip`
WHERE `tgl_input_arsip`>='2016-03-01 00:00:00' AND `tgl_input_arsip`<='2016-03-01 23:59:59'
GROUP BY `petugas_input`
You should not think for these hard-coded column aliases rather make a query for each petugas_input and for each date (within the given date range) along with the count.
Something like this:
SELECT
`petugas_input`,
DATE(`tgl_input_arsip`) `date`,
COUNT(*) total
FROM `tabel_arsip`
WHERE `tgl_input_arsip`>='2016-03-01 00:00:00' AND `tgl_input_arsip`<='2016-03-01 23:59:59'
GROUP BY `petugas_input`,`date`;
And you will get the following output structure:
petugas_input date total
A yyyy-mm-dd n1
B yyyy-mm-dd n2
Try this one:
SELECT `petugas_input`,
COUNT(CASE WHEN DATE(tgl_input_arsip) = '2016-03-01' THEN petugas_input ELSE 0 END) AS `01-MAR`,
COUNT(CASE WHEN DATE(tgl_input_arsip) = '2016-03-02' THEN petugas_input ELSE 0 END) AS `02-MAR`,
COUNT(CASE WHEN DATE(tgl_input_arsip) = '2016-03-03' THEN petugas_input ELSE 0 END) AS `03-MAR`
FROM `tabel_arsip`
WHERE `tgl_input_arsip`>='2016-03-01 00:00:00' AND `tgl_input_arsip`<='2016-03-03 23:59:59'
GROUP BY `petugas_input`;
:)
I need to understand how mysql interprets or executes such a subquery:
SELECT SUM(tp),SUM(ep),SUM(mp) FROM
(
SELECT Avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(tp,0) else 0 end) tp,
Avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(ep,0) else 0 end) ep,
Avg(case date_format(PS_DATE,'%Y') when '2005' then nvl(mp,0) else 0 end) mp
FROM M_DAILY
WHERE PS_DATE >= date ('2005-01-01') and PS_DATE <= date ('2005-12-31');
) As T
Can someone interpret how such a query is interpreted (in words)please!
For the year 2005, it finds the SUM of average values of the columns tp, ep and mp. While doing this null values are considered as 0. As the dates are filtered for year 2005, the above code can be simplified as
SELECT SUM(tp),SUM(ep),SUM(mp) FROM
(
SELECT Avg(nvl(tp,0)) tp,
Avg(nvl(ep,0)) ep,
Avg(nvl(mp,0)) mp
FROM M_DAILY
WHERE PS_DATE >= date ('2005-01-01') and PS_DATE <= date ('2005-12-31');
) As T
I've this query
SELECT
trage,
CASE trage
WHEN '<18' THEN SUM(CASE WHEN AGE <18 THEN 1 ELSE 0 END)
WHEN '18-24' THEN SUM(CASE WHEN AGE >= 18 AND AGE <= 24 THEN 1 ELSE 0 END)
WHEN '25-34' THEN SUM(CASE WHEN AGE >= 25 AND AGE <= 34 THEN 1 ELSE 0 END)
WHEN '35-44' THEN SUM(CASE WHEN AGE >= 35 AND AGE <= 44 THEN 1 ELSE 0 END)
WHEN '45-54' THEN SUM(CASE WHEN AGE >= 45 AND AGE <= 54 THEN 1 ELSE 0 END)
WHEN '>=55' THEN SUM(CASE WHEN AGE >= 55 THEN 1 ELSE 0 END)
END Total
FROM
( SELECT
t_personne.pers_date_naissance,
t_personne.pers_date_inscription,
TIMESTAMPDIFF(Year, t_personne.pers_date_naissance, t_personne.pers_date_inscription)
- CASE
WHEN MONTH(t_personne.pers_date_naissance) > MONTH(t_personne.pers_date_inscription)
OR (MONTH(t_personne.pers_date_naissance) = MONTH(t_personne.pers_date_inscription)
AND DAY(t_personne.pers_date_naissance) > DAY(t_personne.pers_date_inscription))
THEN 1 ELSE 0
END AS AGE
FROM t_personne
) AS Total
CROSS JOIN
( SELECT '<18' trage UNION ALL
SELECT '18-24' UNION ALL
SELECT '25-34' UNION ALL
SELECT '35-44' UNION ALL
SELECT '45-54' UNION ALL
SELECT '>=55'
)a
GROUP BY trage
ORDER BY FIELD(trage, '<18', '18-24', '25-34', '35-44', '45-54', '>=55')
it give a table with two columns trage and Total for all categories
How to add a column percentage with a line TOTAL for the column Total and %
Thanks for your help
For the time being, you can't do this. To support this MySQL needs Window Function support which it still doesn't have. If you need functions like these I would recommend switching to PostgreSQL.
Also take a look at this question: MySql using correct syntax for the over clause