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I need to show how many active customers we had and the end of the year. Therefore I need to get always last year_month from the previous year. Working with PostgreSQL.
Here my SQL to get the customer base on monthly (year_month) view.
select *
from (
with data as (
select
a.brand,
a.d,
a.activations,
t.terminations,
a.activations-t.terminations count
from (select c.brand, dd.year_month d,
COALESCE(case when dd.year_month is not null then count(c.customer_number) else 0 end, 0) as activations
from generate_series(current_date - interval '8 years', current_date, '1 day') d
left join dim_date dd on dd."date" = d.d
left join r_contracts_report c on to_date(c.service_start_date, 'dd.mm.yyy') = d
where c.contract_status in ('aktiv', 'Kündigung vorgemerkt', 'gekündigt')
and c.contract in ('3048', '3049', '3050', '3055', '3056')
group by dd.year_month,
brand) a,
(select c.brand, dd.year_month d,
COALESCE(case when dd.year_month is not null then count(c.customer_number) else 0 end, 0) as terminations
from generate_series(current_date - interval '8 years', current_date, '1 day') d
left join dim_date dd on dd."date" = d.d
left join r_contracts_report c on to_date(c.termination_date, 'dd.mm.yyy') = d
where c.contract_status in ('aktiv', 'Kündigung vorgemerkt', 'gekündigt')
and c.contract in ('3048', '3049', '3050', '3055', '3056')
group by dd.year_month,
brand) t
where a.d = t.d
and a.brand = t.brand)
select
d.d year_month,
d.brand,
sum(count) over (order by d.d asc rows between unbounded preceding and current row) eop
from data d
where d.brand = '3'
) as foo
Using after "as foo" the following where clause I get the customer base for the last 12 months:
WHERE year_month >= to_char ((current_date - INTERVAL '12 months'), 'YYYY-MM')
And result looks like this:
But I always want to have only the December of the previous year. In this case it would be '2021-12'.
...
where year_month = '2021-12'
or automatically for the previous year:
...
where year_month = (extract(year from current_date) - 1)::text || '-12'
But this is a really inefficient way to get this data.
I have a pricing table that contains the pricing data for products. There are around 600 unique product_id, each currently having 4 days worth of pricing data, which will eventually go up to 30 days. The table below is a small subset of the data to represent that table structure:
date
product_id
price_trend
2022-08-21
1
0.08
2022-08-22
1
0.18
2022-08-23
1
0.30
2022-08-21
2
0.15
2022-08-22
2
0.20
2022-08-23
2
0.22
So in my script, for each product_id I am trying to get yesterdays price_trend and todays price_trend and then calculate the price_delta between the two. I then order by price_delta and limit the results to 5.
I am having some issues as in some cases yesterdays price_trend is 0 and then todays price trend is 0.50 for example. This does not mean that the price trend has increased, but mostly likely that price_trend was not gathered yesterday for whatever reason.
Now I would like to remove any records where price_trend for today or yesterday equals 0, however, when I add AND pricing.trend_price > 0 the value return is just null instead.
Script:
SELECT
magic_sets_cards.name,
(SELECT pricing.trend_price
FROM pricing
WHERE pricing.product_id = magic_sets_cards_identifiers.mcm_id
AND pricing.date = (SELECT MAX(date) - INTERVAL '2 DAY' FROM pricing)
AND pricing.trend_price > 0) AS price_yesterday,
(SELECT pricing.trend_price
FROM pricing
WHERE pricing.product_id = magic_sets_cards_identifiers.mcm_id
AND pricing.date = (SELECT MAX(date) FROM pricing)
AND pricing.trend_price > 0) AS price_today,
((SELECT pricing.trend_price
FROM pricing
WHERE pricing.product_id = magic_sets_cards_identifiers.mcm_id
AND pricing.date = (SELECT MAX(date) FROM pricing)) -
(SELECT pricing.trend_price
FROM pricing
WHERE pricing.product_id = magic_sets_cards_identifiers.mcm_id
AND pricing.date = (SELECT MAX(date) - INTERVAL '2 DAY' FROM pricing))) AS price_delta
FROM magic_sets
JOIN magic_sets_cards ON magic_sets_cards.set_id = magic_sets.id
JOIN magic_sets_cards_identifiers ON magic_sets_cards_identifiers.card_id = magic_sets_cards.id
JOIN pricing ON pricing.product_id = magic_sets_cards_identifiers.mcm_id
WHERE magic_sets.code = '2X2'
AND pricing.date = (SELECT MAX(date) FROM pricing)
ORDER BY price_delta DESC
LIMIT 5
Results:
name
price_yesterday
price_today
price_delta
"Fiery Justice"
null
0.50
0.50
"Hostage Taker"
3.50
4.00
0.50
"Damnation"
17.02
17.33
0.31
"Bring to Light"
0.42
0.72
0.30
"City of Brass"
17.41
17.68
0.27
I would like to get it so that the "Fiery Justice" in this example is just ignored.
with the use of rank() you can get the output ., Look into...
Query without null rows :
with cte as (Select
product_id,
SUM(CASE WHEN rank = 1 THEN price_trend ELSE null END) today,
SUM(CASE WHEN rank = 2 THEN price_trend ELSE null END) yesterday,
SUM(CASE WHEN rank = 1 THEN price_trend ELSE 0 END) -
SUM(CASE WHEN rank = 2 THEN price_trend ELSE 0 END) as diff
FROM (
SELECT
product_id,
price_trend,
date,
rank() OVER (PARTITION BY product_id ORDER BY date DESC) as rank
FROM tableName where price_trend>0 and date between current_date-5 and current_date-4) p
WHERE rank in (1,2)
GROUP BY product_id
) select * from cte where (case when today is null or yesterday is null then 'NULL' else 'VALID' end)!='NULL'
Query with null values :
Select
product_id,
SUM(CASE WHEN rank = 1 THEN price_trend ELSE 0 END) today,
SUM(CASE WHEN rank = 2 THEN price_trend ELSE 0 END) yesterday,
SUM(CASE WHEN rank = 1 THEN price_trend ELSE 0 END) -
SUM(CASE WHEN rank = 2 THEN price_trend ELSE 0 END) as diff
FROM (
SELECT
product_id,
price_trend,
date,
rank() OVER (PARTITION BY product_id ORDER BY date DESC) as rank
FROM tableName where date between current_date-5 and current_date-4) p
WHERE rank in (1,2)
GROUP BY product_id
Change the condition :
where date between current_date-3 and current_date-2
OUTPUT :
product_id today yesterday diff
1 0.06 0.02 0.04
2 0.64 0.62 0.02
CREATE TABLE tableName
(
date date,
product_id int,
price_trend numeric(9,2)
);
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-21 ', '1 ', '0.02');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-22 ', '1 ', '0.06');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-23 ', '1 ', '0.10');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-24 ', '1 ', '0.13');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-25 ', '1 ', '0.18');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-26 ', '1 ', '0.30');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-21 ', '2 ', '0.62');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-22 ', '2 ', '0.64');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-23 ', '2 ', '0.69');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-24 ', '2 ', '0.78');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-25 ', '2 ', '0.88');
INSERT INTO tableName (date ,product_id ,price_trend) VALUES ('2022-08-26 ', '2 ', '0.90');
I'm trying to find the maximum sequence of days by customer in my data. I want to understand what is the max sequence of days that specific customer made. If someone enter to my app in the 25/8/16 AND 26/08/16 AND 27/08/16 AND 01/09/16 AND 02/09/16 - The max sequence will be 3 days (25,26,27).
In the end (The output) I want to get two fields: custid | MaxDaySequence
I have the following fields in my data table: custid | orderdate(timestemp)
For exmple:
custid orderdate
1 25/08/2007
1 03/10/2007
1 13/10/2007
1 15/01/2008
1 16/03/2008
1 09/04/2008
2 18/09/2006
2 08/08/2007
2 28/11/2007
2 04/03/2008
3 27/11/2006
3 15/04/2007
3 13/05/2007
3 19/06/2007
3 22/09/2007
3 25/09/2007
3 28/01/2008
I'm using PostgreSQL 2014.
Thanks
Trying:
select custid, max(num_days) as longest
from (
select custid,rn, count (*) as num_days
from (
select custid, date(orderdate),
cast (row_number() over (partition by custid order by date(orderdate)) as varchar(5)) as rn
from table_
) x group by custid, CURRENT_DATE - INTERVAL rn|| ' day'
) y group by custid
Try:
SELECT custid, max( abc ) as max_sequence_of_days
FROM (
SELECT custid, yy, count(*) abc
FROM (
SELECT * ,
SUM( xx ) OVER (partition by custid order by orderdate ) yy
FROM (
select * ,
CASE WHEN
orderdate - lag( orderdate ) over (partition by custid order by orderdate )
<= 1
THEN 0 ELSE 1 END xx
from mytable
) x
) z
GROUP BY custid, yy
) q
GROUP BY custid
Demo: http://sqlfiddle.com/#!15/00422/11
===== EDIT ===========
Got "operator does not exist: interval <= integer"
This means that orderdate column is of type timestamp, not date.
In this case you need to use <= interval '1' day condition instead of <= 1:
Please see this link: https://www.postgresql.org/docs/9.0/static/functions-datetime.html to learn more about date arithmetic in PostgreSQL
Please see this demo:
http://sqlfiddle.com/#!15/7c2200/2
SELECT custid, max( abc ) as max_sequence_of_days
FROM (
SELECT custid, yy, count(*) abc
FROM (
SELECT * ,
SUM( xx ) OVER (partition by custid order by orderdate ) yy
FROM (
select * ,
CASE WHEN
orderdate - lag( orderdate ) over (partition by custid order by orderdate )
<= interval '1' day
THEN 0 ELSE 1 END xx
from mytable
) x
) z
GROUP BY custid, yy
) q
GROUP BY custid
I'm trying to create a Query that sums up a sales amount from 52 weeks of data from the entities in this table.
I figured out how to get the past 52 weeks for the CYSales using the following query. The year and week will end up being parameters in the resultant report, so those values are arbitrary. I used the current year and week 40 just for this example.
SELECT [Group],[Owner],[SalesPersonNumber],SUM([tot_sls_amt]) AS CYSales
FROM TableA
WHERE ((Year = year(getdate()) AND Week <= 40) OR (Year = year(getdate()) - 1 AND Week > 40)) AND cmp_status = 'A'
Group BY [Group]
,[Owner]
,[SalesPersonNumber]
That gives me this
I'm now trying to get the PYSales amount in another calculated column, but when I add my subquery in I get an error
Subquery returned more than 1 value. This is not permitted when the subquery follows =, !=, <, <= , >, >= or when the subquery is used as an expression.
How do I fix the following query to give me the PYSales?
SELECT [Group]
,[Owner]
,[SalesPersonNumber]
,SUM([tot_sls_amt]) AS CYSales
,(SELECT SUM([tot_sls_amt])
FROM TableA
WHERE ((Year = year(getdate())-1 AND Week <= 40) OR (Year = year(getdate()) - 2 AND Week > 40)) AND cmp_status = 'A'
Group BY [Group] ,[Owner],[SalesPersonNumber]) AS PYSales
FROM TableA
WHERE ((Year = year(getdate()) AND Week <= 40) OR (Year = year(getdate()) - 1 AND Week > 40)) AND cmp_status = 'A'
Group BY [Group]
,[Owner]
,[SalesPersonNumber]
I would move your sub query and join it or use a cte.
i used a left join incase you have someone new that wont have data in py
didnt have data to test, let me know if something fails and i can revise.
SELECT
a.[Group]
,a.[Owner]
,a.[SalesPersonNumber]
,SUM(a.[tot_sls_amt]) AS CYSales
,(b.[tot_sls_amt]) AS PYSales
FROM
TableA a
Left Join
(SELECT sum([tot_sls_amt]) tot_sls_amt,[Group],[Owner] ,[SalesPersonNumber]
FROM TableA
WHERE ((Year = year(getdate())-1 AND Week <= 40) OR (Year = year(getdate()) - 2 AND Week > 40)) AND cmp_status = 'A'
group by [Group],[Owner] ,[SalesPersonNumber]) b on a.group = b.group and a.owner = b.owner and a.salespersonumber =b.salespersonnumber
WHERE
((Year = year(getdate()) AND Week <= 40) OR (Year = year(getdate()) - 1 AND Week > 40)) AND cmp_status = 'A'
Group BY
a.[Group]
,a.[Owner]
,a.[SalesPersonNumber]
,(b.[tot_sls_amt])
you are doing GROUP BY in the subquery, which will return sum for each pair of Group, Owner, SalesPersonNumber, which is same as your outer query.
in case you just need the Total accross the all values for given week and year, just do sum and use cross apply
SELECT [Group]
,[Owner]
,[SalesPersonNumber]
,SUM([tot_sls_amt]) AS CYSales,
T.total AS PYSales
FROM TableA
WHERE ((Year = year(getdate()) AND Week <= 40) OR (Year = year(getdate()) - 1 AND Week > 40)) AND cmp_status = 'A'
Group BY [Group]
,[Owner]
,[SalesPersonNumber]
CROSS APPLY (
SELECT SUM([tot_sls_amt]) as total
FROM TableA
WHERE ((Year = year(getdate())-1 AND Week <= 40) OR (Year = year(getdate()) - 2 AND Week > 40)) AND cmp_status = 'A'
) As T
I am trying to find the total per year
For example
Start date End Date Total Value
1 07/01/14 01/01/15 $10,000
2 08/01/13 12/01/14 $10,000
3 03/01/13 05/01/15 $10,000
As you can see, Some items are over multiple years. Is there a way to find out what the total value is per year.
Solution should be:
item 3
2013- $3600
2014-$4800
2015-1600
Then a summation would be down for all three items to give a yearly total.
What I have so far:
I have a rolling summation code which is shown below.
case when
(
[begin date] >= dateadd(mm,0,DATEADD(mm,DATEDIFF(mm,0,getdate()),0))
and [end date] >= dateadd(mm,0,DATEADD(mm,DATEDIFF(mm,0,getdate()),0))
)
OR
(
[Begin Date] < dateadd(mm,0,DATEADD(mm,DATEDIFF(mm,0,getdate()),0))
and [End Date] >= dateadd(mm,0,DATEADD(mm,DATEDIFF(mm,0,getdate()),0))
)
then [Totalvalue]/nullif(DATEDIFF(mm,[begin date],[end date]),0)
else 0
end [Current Month]
I dono how you got that total values for item 3
but for item 3 i hope it should be
2013 = 3704
2014 = 4444
2015 = 1852
Dono how efficient this code is just have a try
CREATE TABLE #tblName
(
itemid INT,
startdate DATETIME,
endate DATETIME,
value int
)
INSERT INTO #tblName
VALUES (1,'2014/07/01','2015/01/01',10000),
(2,'2013/08/01','2014/12/01',10000),
(3,'2013/03/01','2015/05/01',10000)
DECLARE #mindate DATETIME,
#maxdate DATETIME
SELECT #mindate = Min(startdate),
#maxdate = Max(endate)
FROM #tblName
SELECT *
FROM #tblName;
WITH cte
AS (SELECT #mindate startdate
UNION ALL
SELECT Dateadd(mm, 1, startdate) startdate
FROM cte
WHERE startdate <= Dateadd(mm, -1, #maxdate))
SELECT a.value * ( ( convert(numeric(22,6),a.cnt) / convert(numeric(22,6),c.total) ) * 100 ) / 100,a.itemid,a.startdate
FROM (SELECT Avg(value) value,
Count(1) cnt,
itemid,
Year(a.startdate) startdate
FROM cte a
JOIN #tblName b
ON a.startdate BETWEEN b.startdate AND b.endate
GROUP BY itemid,
Year(a.startdate)) a
JOIN(SELECT Sum(cnt) total,
itemid
FROM (SELECT Avg(value) value,
Count(1) cnt,
itemid,
Year(a.startdate) startdate
FROM cte a
JOIN #tblName b
ON a.startdate BETWEEN b.startdate AND b.endate
GROUP BY itemid,
Year(a.startdate)) B
GROUP BY itemid) C
ON a.itemid = c.itemid
WHERE a.itemid = 3