Get SUM of Current Week data and Current Year data from SQLite - sql

I have a SQLite database and sales table is like the following,
| Id | quantity | dateTime |
------------------------------------
| 1 | 10 | 2019-12-25 12:55 |
| 2 | 05 | 2019-12-30 12:55 |
| 3 | 25 | 2020-08-23 12:55 |
| 4 | 25 | 2020-08-24 12:55 |
| 5 | 56 | 2020-08-25 12:55 |
| 6 | 25 | 2020-08-26 12:55 |
| 7 | 12 | 2020-08-27 12:55 |
| 8 | 30 | 2020-08-28 12:55 |
| 9 | 40 | 2020-08-29 12:55 |
I need to get the Current Week data (Mon to Sun) and the Current Year data from (Jan to Dec). So if I pass today date I need to get only the Current Week sales data group by days like the following,
If I pass today date and time (2020-08-28 13:55) the query should give me Current Week data like this,
Day Sold Items (SUM(quantity))
Monday 20
Tuesday 25
Wednesday 10
Thursday 50
Friday 60
Saturday 0 (If the date hasn't come yet I need to get 0)
Sunday 0
And same as the Current Year data when I pass the Current Date,
Month Sold Items (SUM(quantity))
JAN 20
FEB 25
MAR 10
APR 50
MAY 60
JUN 0 (If the month hasn't come yet I need to get 0)
JUL 0
... ...
I tried with multiple queries in SQLite but couldn't get what I need. Here are the queries I tried,
Weekly Data (This one gave me past week data also)
SELECT SUM(quantity) as quantity, strftime('%w', dateTime) as Day
From sales
Group by strftime('%w', dateTime)
Monthly Data
SELECT SUM(quantity) as quantity, strftime('%m', dateTime) as Month
From sales
Group by strftime('%m', dateTime)
So anybody can help me to achieve this? Thanks in advance.

For the totals of the current week you need a CTE that returns the names of the days and the another one that returns the Monday of the current week.
You must cross join these CTEs and left join your table to aggregate:
with
days as (
select 1 nr, 'Monday' day union all
select 2, 'Tuesday' union all
select 3, 'Wednesday' union all
select 4, 'Thursday' union all
select 5, 'Friday' union all
select 6, 'Saturday' union all
select 7, 'Sunday'
),
weekMonday as (
select date(
'now',
case when strftime('%w', 'now') <> '1' then '-7 day' else '0 day' end,
'weekday 1'
) monday
)
select d.day,
coalesce(sum(t.quantity), 0) [Sold Items]
from days d cross join weekMonday wm
left join tablename t
on strftime('%w', t.dateTime) + 0 = d.nr % 7
and date(t.dateTime) between wm.monday and date(wm.monday, '6 day')
group by d.nr, d.day
order by d.nr
For the totals of the current year you need a CTE that returns the month names and then left join the table to aggregate:
with
months as (
select 1 nr, 'JAN' month union all
select 2 nr, 'FEB' union all
select 3 nr, 'MAR' union all
select 4 nr, 'APR' union all
select 5 nr, 'MAY' union all
select 6 nr, 'JUN' union all
select 7 nr, 'JUL' union all
select 8 nr, 'AUG' union all
select 9 nr, 'SEP' union all
select 10 nr, 'OCT' union all
select 11 nr, 'NOV' union all
select 12 nr, 'DEC'
)
select m.month,
coalesce(sum(t.quantity), 0) [Sold Items]
from months m
left join tablename t
on strftime('%m', t.dateTime) + 0 = m.nr
and date(t.dateTime) between date('now','start of year') and date('now','start of year', '1 year', '-1 day')
group by m.nr, m.month
order by m.nr

You can use the below query to get the weekly date, I am assuming that everydate has single entry and hence not grouping otherwise you can add group by.
First we will get the weekly calendar based on the input date (I have taken current date)
and then left join with calendar to get the required sold items info.
WITH seq(n) AS
(
SELECT 0 UNION ALL SELECT n + 1 FROM seq
WHERE n < DATEDIFF(DAY, (SELECT DATEADD(DAY, 2 - DATEPART(WEEKDAY, GETDATE()), CAST(GETDATE() AS DATE)) [Week_Start_Date]), (Select DATEADD(DAY, 8 - DATEPART(WEEKDAY, GETDATE()), CAST(GETDATE() AS DATE)) [Week_End_Date]))
),
CALENDAR(d) AS
(
SELECT DATEADD(DAY, n, (SELECT DATEADD(DAY, 2 - DATEPART(WEEKDAY, GETDATE()), CAST(GETDATE() AS DATE)) [Week_Start_Date])) FROM seq
)
SELECT coalesce(QUANTITY, 0) sold_items ,DATENAME(WEEKDAY, d) week_day FROM CALENDAR a left outer join Table_WEEKDAY b
on (a.d = convert(date, b.dateTime))
ORDER BY d
OPTION (MAXRECURSION 0);

You can try the below - DEMO
select day,coalesce(sum(quantity),0) as quantity
from
(select 0 as day union all select 1 union all select 2 union all select 3 union all select 4
union all select 5 union all select 6) as d
left join sales on cast(strftime('%w', dateTime) as int)=day
group by strftime('%w', dateTime),day
order by day

Related

BigQuery - Year over Year Comparison with Month to Date

I am having trouble accurately doing a year over year comparison by month but at any point during the month. For example for August 2022 vs 2021, I want to compare August 1 to today, rather than full month of August 2021.
My data has a date field.
I want the final result to basically be:
Product_ID, Year, Month, PY_Sales, CY_Sales
I have daily totals. Some products do have not sales on certain days though. Here's an example:
product_id
sale_date
units
1
2021-01-01
5
2
2021-01-02
4
...
...
...
1
2021-06-05
2
2
2021-08-01
1
2
2021-08-31
6
2
2022-01-06
1
2
2022-08-15
9
The final result for August should be:
product_id
Year
Month
PY_Sales
CY_Sales
2
2022
8
1
9
Right now my code will show 7 for August for product_id = 2 because 6 sales happened on August 31st but that day hasn't happened yet in 2022.
This is the code I have, but it doesn't do MTD. Right now, PY_Sales for August 2022 is showing the entire August of 2021, but I want it to show the MTD of August 2021. I used this code because some products do not have sales on certain months.
WITH cte AS
(
SELECT
PRODUCT_ID,
EXTRACT(YEAR FROM SALE_DATE) AS Year,
EXTRACT(MONTH FROM SALE_DATE) AS Month,
CONCAT(EXTRACT(YEAR FROM SALE_DATE), '-',EXTRACT(MONTH FROM SALE_DATE)) AS Year_Month,
SUM(Units) AS Units
FROM data
WHERE Product_ID = 1
AND DATE(SALE_DATE) >= '2019-01-01'
GROUP BY 1, 2, 3
),
diff AS
(
SELECT
COALESCE(c.PRODUCT_ID, p.PRODUCT_ID) AS Product_ID,
COALESCE(c.Year, p.Year + 1) AS Year,
COALESCE(c.Month, p.Month) AS Month,
IFNULL(c.Units, 0) AS Current_Units,
IFNULL(p.Units, 0) AS Previous_Units,
NULLIF(((IFNULL(c.Units, 0) - IFNULL(p.Units,0)) / p.Units),0) * 100 AS Percent_Change
FROM CTE c
FULL OUTER JOIN CTE p ON c.PRODUCT_ID = p.PRODUCT_ID AND c.Year = p.Year + 1 AND c.Month = p.Month
WHERE c.Year <= EXTRACT(YEAR FROM CURRENT_DATE())
ORDER BY 2, c.Year, c.Month
)
SELECT *
FROM diff
--This is to avoid dividing by 0
WHERE diff.Previous_Units > 0
--AND Percent_Change <= -.5
I'm being a little repetitive but I hope this is clear! Thank you so much!
In the cte table you summarize the sold units by month and year.
Your question can be solved by adding here a column units_last_year. This contains the units, which are sold up to the day one year ago. Today is the 27th of August 2022, therefore the units on the 31th of August 2021 will be set to zero.
SUM(Units) AS Units,
SUM(IF(SALE_DATE< date_sub(current_Date(),interval 1 year), Units, 0 )) as units_last_year
Please use the safe_divide command, if there is any chance of diving by zero
Here is the full query with example data.
You given an example of fixed dates, which are compared to the current date. Therefore, the query would not show the desired effect after 30th of August 2022.
The product_id three is made up values related to the current date, thus the following query yields results after August 2022.
with data as (
select *,date(sale_date_) as sale_date
from (
Select 1 product_id, "2021-01-01" sale_date_, 5 units
union all select 2,"2021-01-02", 4
union all select 1,"2021-06-05", 2
union all select 2,"2021-08-01", 1
union all select 2,"2021-08-31", 6
union all select 2,"2022-01-06", 1
union all select 2,"2022-08-15", 9
union all select 3, current_date(), 10
union all select 3, date_sub(current_date(),interval 1 year), 9
union all select 3, date_sub( date_trunc(current_date(),month),interval 1 year), 1
)
),
cte AS
(
SELECT
PRODUCT_ID,
EXTRACT(YEAR FROM SALE_DATE) AS Year,
EXTRACT(MONTH FROM SALE_DATE) AS Month,
CONCAT(EXTRACT(YEAR FROM SALE_DATE), '-',EXTRACT(MONTH FROM SALE_DATE)) AS Year_Month,
SUM(Units) AS Units,
sum(if(SALE_DATE< date_sub(current_Date(),interval 1 year), units, 0 )) as units_last_year
FROM data
WHERE # Product_ID = 1 AND
DATE(SALE_DATE) >= '2019-01-01'
GROUP BY 1, 2, 3, 4
),
diff AS
(
SELECT
COALESCE(c.PRODUCT_ID, p.PRODUCT_ID) AS Product_ID,
COALESCE(c.Year, p.Year + 1) AS Year,
COALESCE(c.Month, p.Month) AS Month,
IFNULL(c.Units, 0) AS Current_Units,
IFNULL(p.Units, 0) AS Previous_Units,
IFNULL(p.Units_last_Year, 0) AS Previous_Units_ok,
NULLIF(((IFNULL(c.Units, 0) - IFNULL(p.Units,0)) / p.Units),0) * 100 AS Percent_Change,
NULLIF(safe_divide((IFNULL(c.Units, 0) - IFNULL(p.Units_last_Year,0)) , p.Units_last_Year),0) * 100 AS Percent_Change_ok,
FROM CTE c
FULL OUTER JOIN CTE p ON c.PRODUCT_ID = p.PRODUCT_ID AND c.Year = p.Year + 1 AND c.Month = p.Month
WHERE c.Year <= EXTRACT(YEAR FROM CURRENT_DATE())
ORDER BY 2, c.Year, c.Month
)
SELECT *
FROM diff

count grouped records by ID and show as weekly with day/week outputted

I have a table in which I have to count total records assigned to each USER by weekly (monday to sunday).
Table BooksIssued
BOOKID USER DATE
1 A 20211001
2 A 20211002
3 A 20211003
4 A 20211004
5 B 20211009
6 C 20211008
7 C 20211008
20211001 is friday.
output of sql query is as follows, the WEEKDATE column shows the week end date (i.e sunday)
WEEKCOUNT USER WEEKDATE
3 A 10/03
1 A 10/10
1 B 10/10
2 C 10/10
I am unable to get the date in output containing day, as grouping is done based on user and week part of date. Please suggest on getting above output.
I am using vertica DB.
Below is sample query i tried (though i could not get the day part of date)
SELECT USER, date_part('WEEK', date)) as WEEKDATE
       SUM(CASE WHEN DATE >= timestampadd(WEEK, DATEDIFF(WEEK, date('1900-01-01 00:00:00.000'), date(sysdate)), date('1900-01-01 00:00:00.000'))
                AND  DATE <  timestampadd(WEEK, DATEDIFF(WEEK, date('1900-01-01 00:00:00.000'), date(sysdate)) + 1, date('1900-01-01 00:00:00.000'))
                THEN 1 ELSE 0 END) AS WEEKCOUNT,
FROM   BOOKSISSUED
GROUP BY USER, date_part('WEEK', date)
when i add date_part('DAY', date) in select clause, i get error as its not in group by.
Please help.
Do you mean this?
WITH
-- your input ...
indata(BOOKID,USR,DT) AS (
SELECT 1,'A',DATE '20211001'
UNION ALL SELECT 2,'A',DATE '20211002'
UNION ALL SELECT 3,'A',DATE '20211003'
UNION ALL SELECT 4,'A',DATE '20211004'
UNION ALL SELECT 5,'B',DATE '20211009'
UNION ALL SELECT 6,'C',DATE '20211008'
UNION ALL SELECT 7,'C',DATE '20211008'
)
SELECT
COUNT(*) AS week_count
, usr
, TO_CHAR(
DATE_TRUNC('WEEK',dt) + INTERVAL '6 DAYS'
, 'MM/DD'
) AS trcweek
FROM indata
GROUP BY 2,3
ORDER BY 2,3
;
week_count | usr | trcweek
------------+-----+---------
3 | A | 10/03
1 | A | 10/10
1 | B | 10/10
2 | C | 10/10
Can you please check the sql query syntax.
In the SELECT clause second column and group by clause second column
SELECT USER, date_part('WEEK', date) as WEEKDATE,
SUM(CASE WHEN DATE >= timestampadd(WEEK, DATEDIFF(WEEK, date('1900-01-01 00:00:00.000'), date(sysdate)), date('1900-01-01 00:00:00.000'))
AND DATE < timestampadd(WEEK, DATEDIFF(WEEK, date('1900-01-01 00:00:00.000'), date(sysdate)) + 1, date('1900-01-01 00:00:00.000'))
THEN 1 ELSE 0 END) AS WEEKCOUNT
FROM BOOKSISSUED
GROUP BY USER, date_part('WEEK', date)

ORACLE SQL: Group the data by the last 4 weeks

i have a trouble with dates, i need to do a query that count the ids from the last four weeks.
I tried this, but it doesn't works.
SELECT count(a.id), sysdate
FROM table_1 a, table_2 b
WHERE b.fk_id = a.id
AND a.column = some_id
CONNECT BY LEVEL <=4
I need a output like this
| count(a.id) | week |
| 2 | 1 |
| 6 | 2 |
| 7 | 3 |
| 21 | 4 |
So, the " count(a.id) " values are the count of the ID's in one of the past 4 weeks.
Here's a MS SQL Server solution. You should be able to convert it to Oracle if needed.
select count(id) as 'count(a.id)'
, datepart(week, MyDate) as 'week'
from table_1
where datepart(week, MyDate) between datepart(week, getdate()) - 5 and datepart(week, getdate()) - 1
group by datepart(week, MyDate)
And here's my attempt at doing this in Oracle.
select count(a.id)
, Week
from (
select cast(TO_CHAR(MyDate, 'WW') as int) +
case when cast(TO_CHAR(MyDate, 'D') as int) < cast(TO_CHAR(trunc(MyDate, 'year'), 'D') as int) then 1 else 0 end Week
, id
, MyDate
from table_1
) a
where a.MyDate between sysdate - cast(TO_CHAR(sysdate, 'D') as int) - 28 + 1 and sysdate - cast(TO_CHAR(sysdate, 'D') as int)
group by Week

SQL: How to create a weekly user count summary by month

I’m trying to create a week over week active user count summary report/table aggregated by month. I have one table for June 2017 and one table for May 2016 which I need to join together in order to. The date timestamp is created_utc which is a UNIX timestamp which I can figure out to transform into a human-readable format and from there extract the week of the year value so 1 through 52. The questions I have are:
Number the weeks just by values of 1 through 4. So, week 1 for June, Week 1 for May, Week 2 for June week 2 for May and so on.
Joining the tables based by those weeks 1 through 4 values
Pivoting the table and adding a WOW Change variable.
I'd like the final table to look like this:
W
| Week | June_count | May_count |WOW_Change |
|:-----------|:-----------:|:------------:|:----------:
| Week_1 | 5 | 8 | 0.6 |
| Week_2 | 2 | 1 | -0.5 |
| Week_3 | 10 | 5 | -0.5 |
| Week_4 | 30 | 6 | 1 |
Below is some sample data as well as the code I've started.
CREATE TABLE June
(created_utc int, id varchar(6))
;
INSERT INTO June
(created_utc, userid)
VALUES
(1496354167, '6eq4xf'),
(1496362973, '6eqzz3'),
(1496431934, '6ewlm8'),
(1496870877, '6fwied'),
(1496778080, '6fo79k'),
(1496933893, '6g1gcg'),
(1497154559, '6gjkid'),
(1497618561, '6hmeud'),
(1497377349, '6h1osm'),
(1497221017, '6god73'),
(1497731470, '6hvmic'),
(1497273130, '6gs4ay'),
(1498080798, '6ioz8q'),
(1497769316, '6hyer4'),
(1497415729, '6h5cgu'),
(1497978764, '6iffwq')
;
CREATE TABLE May
(created_utc int, id varchar(6))
;
INSERT INTO May
(created_utc, userid)
VALUES
(1493729491, '68sx7k'),
(1493646801, '68m2s2'),
(1493747285, '68uohf'),
(1493664087, '68ntss'),
(1493690759, '68qe5k'),
(1493829196, '691fy9'),
(1493646344, '68m1dv'),
(1494166859, '69rhkl'),
(1493883023, '6963qb'),
(1494362328, '6a83wv'),
(1494525998, '6alv6c'),
(1493945230, '69bkhb'),
(1494050355, '69jqtz'),
(1494418011, '6accd0'),
(1494425781, '6ad0xm'),
(1494024697, '69hx2z'),
(1494586576, '6aql9y')
;
#standardSQL
SELECT created_utc,
DATE(TIMESTAMP_SECONDS(created_utc)) as event_date,
CAST(EXTRACT(WEEK FROM TIMESTAMP_SECONDS(created_utc)) AS STRING) AS week_number,
COUNT(distinct userid) as user_count
FROM June
SELECT created_utc,
DATE(TIMESTAMP_SECONDS(created_utc)) as event_date,
CAST(EXTRACT(WEEK FROM TIMESTAMP_SECONDS(created_utc)) AS STRING) AS week_number,
COUNT(distinct userid) as user_count
FROM May
Below is for BigQuery Standard SQL
#standardSQL
SELECT
CONCAT('Week_', CAST(week AS STRING)) Week,
June.user_count AS June_count,
May.user_count AS May_count,
ROUND((May.user_count - June.user_count) / June.user_count, 2) AS WOW_Change
FROM (
SELECT COUNT(DISTINCT userid) user_count,
DIV(EXTRACT(DAY FROM DATE(TIMESTAMP_SECONDS(created_utc))) - 1, 7) + 1 week
FROM `project.dataset.June`
GROUP BY week
) June
JOIN (
SELECT COUNT(DISTINCT userid) user_count,
DIV(EXTRACT(DAY FROM DATE(TIMESTAMP_SECONDS(created_utc))) - 1, 7) + 1 week
FROM `project.dataset.May`
GROUP BY week
) May
USING(week)
You can test, play with above using sample data from your question as in example below
#standardSQL
WITH `project.dataset.June` AS (
SELECT 1496354167 created_utc, '6eq4xf' userid UNION ALL
SELECT 1496362973, '6eqzz3' UNION ALL
SELECT 1496431934, '6ewlm8' UNION ALL
SELECT 1496870877, '6fwied' UNION ALL
SELECT 1496778080, '6fo79k' UNION ALL
SELECT 1496933893, '6g1gcg' UNION ALL
SELECT 1497154559, '6gjkid' UNION ALL
SELECT 1497618561, '6hmeud' UNION ALL
SELECT 1497377349, '6h1osm' UNION ALL
SELECT 1497221017, '6god73' UNION ALL
SELECT 1497731470, '6hvmic' UNION ALL
SELECT 1497273130, '6gs4ay' UNION ALL
SELECT 1498080798, '6ioz8q' UNION ALL
SELECT 1497769316, '6hyer4' UNION ALL
SELECT 1497415729, '6h5cgu' UNION ALL
SELECT 1497978764, '6iffwq'
), `project.dataset.May` AS (
SELECT 1493729491 created_utc, '68sx7k' userid UNION ALL
SELECT 1493646801, '68m2s2' UNION ALL
SELECT 1493747285, '68uohf' UNION ALL
SELECT 1493664087, '68ntss' UNION ALL
SELECT 1493690759, '68qe5k' UNION ALL
SELECT 1493829196, '691fy9' UNION ALL
SELECT 1493646344, '68m1dv' UNION ALL
SELECT 1494166859, '69rhkl' UNION ALL
SELECT 1493883023, '6963qb' UNION ALL
SELECT 1494362328, '6a83wv' UNION ALL
SELECT 1494525998, '6alv6c' UNION ALL
SELECT 1493945230, '69bkhb' UNION ALL
SELECT 1494050355, '69jqtz' UNION ALL
SELECT 1494418011, '6accd0' UNION ALL
SELECT 1494425781, '6ad0xm' UNION ALL
SELECT 1494024697, '69hx2z' UNION ALL
SELECT 1494586576, '6aql9y'
)
SELECT
CONCAT('Week_', CAST(week AS STRING)) Week,
June.user_count AS June_count,
May.user_count AS May_count,
ROUND((May.user_count - June.user_count) / June.user_count, 2) AS WOW_Change
FROM (
SELECT COUNT(DISTINCT userid) user_count,
DIV(EXTRACT(DAY FROM DATE(TIMESTAMP_SECONDS(created_utc))) - 1, 7) + 1 week
FROM `project.dataset.June`
GROUP BY week
) June
JOIN (
SELECT COUNT(DISTINCT userid) user_count,
DIV(EXTRACT(DAY FROM DATE(TIMESTAMP_SECONDS(created_utc))) - 1, 7) + 1 week
FROM `project.dataset.May`
GROUP BY week
) May
USING(week)
-- ORDER BY week
with result (as sample data is limited to just first two weeks result is also showing two weeks only which should not be an issue when you apply it to real data)
Row Week June_count May_count WOW_Change
1 Week_1 5 12 1.4
2 Week_2 6 5 -0.17
Use arithmetic on the day of the month to get the week:
SELECT j.weeknumber, j.user_count as june_user_count,
m.user_count as may_user_count
FROM (SELECT (EXTRACT(DAY FROM DATE(TIMESTAMP_SECONDS(created_utc))) - 1) / 7 as week_number,
COUNT(distinct userid) as user_count
FROM June
GROUP BY week_number
) j JOIN
(SELECT (EXTRACT(DAY FROM DATE(TIMESTAMP_SECONDS(created_utc))) - 1) / 7 as week_number,
COUNT(distinct userid) as user_count
FROM May
GROUP BY week_number
) m
ON m.week_number = j.week_number;
Note that splitting data into different tables just based on the date is bad idea. The data should all go into one table, perhaps partitioned if data volume is an issue.

How to get the date for the previous month which are closed in the current month

Iam using SSRS Report builder application to create BI Report for my System which is tracking the numbers of incidents logged and closed based on each month.
the below is the table which i need to create the query
Month Logged Received Closed Remaining
January 200 220 150 70
February 150 220 200 20
March 110 130 100 30
April 200 230 200 30
and each column define as follow:
Logged= Open Incident in the Current Month for example open from 1/1/2014 to 31/1/2014 (Contain only the current month data )
Received = Logged incident+ the remaining from the previous months which are still open not close for example the month febreuary will be 150 for the current moth+70 from previous month remaining will give me total 220 which is received.
Closed= incident which are opened in the current month and closed in the current month + the remaining from the previous month which closed in this month
Remaining= Received – closed
the code which i used is not giving me the close incident for the previous months also its only giving me which were closed in the current month
the below is the code which i used for my query:
SELECT group_id, YEAR(Opendate) AS Year, MONTH(Opendate) AS Month,
COUNT(CASE WHEN Month(Closedate) = Month(Opendate)
AND Month(closedate)> Month (opendate) THEN 1 ELSE NULL END) AS closed,
COUNT(*) AS Logged,
FROM Incidents
WHERE (Opendate >= #YearStart) AND (Opendate <= #YearEnd)
GROUP BY YEAR(Opendate), MONTH(Opendate), group_id
ORDER BY Year, Month,group_id
Logged is working fine the closed, Received and remaining i am stuck on it.
I tried to use Union and got the Logged and Closed Data
Select count(*) logged,year(opendate) as year1,MONTH(opendate) as
month1,'Logged' as status1
From Incidents
where opendate is not null
GROUP BY year(opendate),MONTH(opendate)
UNION
Select count(*) closed,year(Closedate) as year1,MONTH(Closedate) as
month1,'All_Closed' as status1
From Incidents
where Closedate is not null
GROUP BY year(Closedate),MONTH(Closedate)
UNION
Select count(*) Remaining,year(opendate) as year1,MONTH(opendate) as
month1,'Current_Month_Not_Closed' as status1
From Incidents
where Month(Closedate) > MONTH(Opendate)
GROUP BY year(opendate),MONTH(opendate)
UNION
Select count(*) Month_Closed,year(opendate) as year1,MONTH(opendate) as
month1,'Current_Month_Close' as status1
From Incidents
where MONTH(Closedate) = MONTH(Opendate)
GROUP BY year(opendate),MONTH(opendate)
order by year1,month1
the data which I received are as follow:
logged | year1 | month1 | status1
-------+-------+--------+-------------------------
1093 | 2014 | 1 | Logged
1089 | 2014 | 1 | All_Closed
997 | 2014 | 1 | Current_Month_Close
96 | 2014 | 1 | Current_Month_Not_Closed
1176 | 2014 | 2 | Logged
1176 | 2014 | 2 | All_Closed
91 | 2014 | 2 | Current_Month_Not_Closed
1085 | 2014 | 2 | Current_Month_Close
1340 | 2014 | 3 | Logged
1327 | 2014 | 3 | All_Closed
107 | 2014 | 3 | Current_Month_Not_Closed
1232 | 2014 | 3 | Current_Month_Close
116 | 2014 | 4 | Current_Month_Not_Closed
1320 | 2014 | 4 | Current_Month_Close
1424 | 2014 | 4 | All_Closed
1441 | 2014 | 4 | Logged
1167 | 2014 | 5 | Current_Month_Close
105 | 2014 | 5 | Current_Month_Not_Closed
1277 | 2014 | 5 | Logged
1283 | 2014 | 5 | All_Closed
To have a reliable data a calendar table as anchor can help, and is needed in case the tickets can be alive for months from their opening date or there can be a month without ticket created.
For example with the fake data
CREATE TABLE Incidents (
id int identity(1, 1)
, group_id nvarchar(100)
, Opendate Datetime
, Closedate Datetime
)
INSERT INTO Incidents
VALUES ('Service Desk', '20140107', '20140120')
, ('Service Desk', '20140117', '20140123')
, ('Service Desk', '20140127', '20140313')
, ('Service Desk', '20140310', '')
-- from an OP comment the open tickets have the Closedate '' (1900-01-01)
without a calendar table (or a temp, or a CTE) there is no way to add february in the resultset, even if the third record is both "Received" and "Remaining" in that month.
To create a calendar there are several way, in this case we need the some information about months but nothing about the days, so those are not generated.
declare #YearStart date = '20140101'
declare #YearEnd date = '20140430'
;WITH D(N) AS (
SELECT 0 UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3
UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7
UNION ALL SELECT 8 UNION ALL SELECT 9
)
SELECT EOM
= DATEADD(D, -1, DATEADD(M, u.N + 10 * t.N + 1
, DATEADD(Y, DATEDIFF(Y, 0, #YearStart), 0)))
, pMonth = u.N + 10 * t.N
FROM D u
CROSS JOIN D t
WHERE u.N + 10 * t.N <= DATEDIFF(M, #YearStart, #YearEnd)
Here EOM is the date of the end of the month, it'll be used to check if the incidents are closed in the month and pMonth is the progressive month starting from #YearStart.
Now we need to prepare the data in the incident table to be used
SELECT ID
, OpenDate
, Closedate = COALESCE(NULLIF(Closedate, ''), '99991231')
, pOpenDate = DATEDIFF(M, #YearStart, OpenDate)
, pClosedate = DATEDIFF(M, #YearStart
, COALESCE(NULLIF(Closedate, ''), '99991231'))
FROM Incidents
the Closedate need to always have a value higher than the OpenDate, for this is used the constant date 9999-12-31, pOpenDate and pClosedate, as pMonth before, are the progressive month starting from #YearStart respectively of OpenDate and Closedate.
Putting those togheter it's possible to create the main query
declare #YearStart date = '20140101'
declare #YearEnd date = '20140430'
;WITH D(N) AS (
SELECT 0 UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3
UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7
UNION ALL SELECT 8 UNION ALL SELECT 9
), CM AS (
SELECT EOM
= DATEADD(D, -1, DATEADD(M, u.N + 10 * t.N + 1
, DATEADD(Y, DATEDIFF(Y, 0, #YearStart), 0)))
, pMonth = u.N + 10 * t.N
FROM D u
CROSS JOIN D t
WHERE u.N + 10 * t.N <= DATEDIFF(M, #YearStart, #YearEnd)
), I AS (
SELECT ID
, OpenDate
, Closedate = COALESCE(NULLIF(Closedate, ''), '99991231')
, pOpenDate = DATEDIFF(M, #YearStart, OpenDate)
, pClosedate = DATEDIFF(M, #YearStart
, COALESCE(NULLIF(Closedate, ''), '99991231'))
FROM Incidents
)
SELECT MONTH(CM.EOM) [Month]
, Logged = SUM(CASE WHEN pOpenDate = pMonth
THEN 1
ELSE 0
END)
, Received = Count(i.id)
, Closed = SUM(CASE WHEN pClosedate = pMonth
AND i.Closedate < CM.EOM
THEN 1
ELSE 0
END)
, Remaining = SUM(CASE WHEN i.Closedate > CM.EOM
THEN 1
ELSE 0
END)
FROM CM
INNER JOIN I ON CM.pMonth
BETWEEN i.pOpenDate AND i.pClosedate
WHERE CM.EOM <= #YearEnd
GROUP BY CM.EOM
ORDER BY CM.EOM
SQLFiddle Demo
using a JOIN to get the month from the calendar table between #YearStart and #YearEnd and all the incident alive in the month. Their attribute are calculated with the CASE logic, in case of Received if a ticket is alive it's received so no logic is needed.
All the CASE can be transformed in BIT logic
declare #YearStart date = '20140101'
declare #YearEnd date = '20140430'
;WITH D(N) AS (
SELECT 0 UNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3
UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 UNION ALL SELECT 7
UNION ALL SELECT 8 UNION ALL SELECT 9
), CM AS (
SELECT EOM
= DATEADD(D, -1, DATEADD(M, u.N + 10 * t.N + 1
, DATEADD(Y, DATEDIFF(Y, 0, #YearStart), 0)))
, pMonth = u.N + 10 * t.N
FROM D u
CROSS JOIN D t
WHERE u.N + 10 * t.N <= DATEDIFF(M, #YearStart, #YearEnd)
), I AS (
SELECT ID
, OpenDate
, Closedate = COALESCE(NULLIF(Closedate, ''), '99991231')
, pOpenDate = DATEDIFF(M, #YearStart, OpenDate)
, pClosedate = DATEDIFF(M, #YearStart
, COALESCE(NULLIF(Closedate, ''), '99991231'))
FROM Incidents
)
SELECT MONTH(CM.EOM) [Month]
, Logged = SUM(1 - CAST(pOpenDate - pMonth AS BIT))
, Received = Count(i.id)
, Closed = SUM(1 - CAST(pClosedate - pMonth AS BIT))
, Remaining = SUM(0 + CAST(i.pClosedate / (CM.pMonth + 1) AS BIT))
FROM CM
INNER JOIN I ON CM.pMonth
BETWEEN i.pOpenDate AND i.pClosedate
WHERE CM.EOM <= #YearEnd
GROUP BY CM.EOM
ORDER BY CM.EOM;
SQLFiddle Demo
The bit logic is base on how the CAST to BIT works:
0 go to 0
everything else go to 1
based on that (with A and B integer):
1 - CAST(A - B AS BIT) is 1 when A = B
CAST(A / (B + 1) AS BIT) is 1 when A > B (the 0 + is to force an implicit cast to INT as BIT cannot be SUMmed)
Received would be the number of tickets that were opened before the end of the month, and not closed before the start of the month.
count(case when OpenDate <= #EndOfMonth and
(#StartOfMonth >= CloseDate or CloseDate is null) then 1 end)
as Received
Closed is straightforward:
count(case when CloseDate between #StartOfMonth and #EndOfMonth
then 1 end) as Closed
You should be able to figure out how to calculate the start and end of a month using Google.