SQL - Conditional column selection in join - sql

I am not sure if this scenario can be achieved using TSQL. I have a table called WorkingDays, which have this info
ID | EmployeeId | Monday | Tuesday | Wednesday | Thursday | Friday
----------------------------------------------------------------------
1 | 1 | 2 | 2 | 3 | 6 | 5
2 | 2 | 1 | 7 | 5 | 2 | 3
The days columns store Ids of WorkingSchedule table, which has this columns:
ID int Primary Key
StartTime time
EndTime time
So what I need id get the StartTime and EndTime of an employee depending on the current date.
What I need to get from query is the start and end time depending on the day. The day I want to filter is de current date (using getdate() function)
So need to select the correct day column name to make the join.
How can I achieve this scenario?

The dynamic sql version:
declare #sql nvarchar(max) ='
select
t.EmployeeId
, StarTime = max(case when t.rn=1 then '+quotename(datename(weekday,getdate()))+' end)
, EndTime = max(case when t.rn=2 then '+quotename(datename(weekday,getdate()))+' end)
from (
select *
, rn = row_number() over (partition by t.EmployeeId order by t.Id)
from t
) t
group by t.EmployeeId;'
exec sp_executesql #sql;
rextester demo: http://rextester.com/WNH34961
returns:
+------------+----------+---------+
| EmployeeId | StarTime | EndTime |
+------------+----------+---------+
| 1 | 5 | 3 |
+------------+----------+---------+
Depending on how you want the output, here are two other ways that do not use dynamic sql:
Both use cross apply() to unpivot the data, and WorkDay = datename(weekday,getdate()) to get the current WorkDay column.
For one row output we add some conditional aggregation:
/* one row per employeeId */
select
t.EmployeeId
, x.WorkDay
, StarTime = max(case when t.rn=1 then x.Time end)
, EndTime = max(case when t.rn=2 then x.Time end)
from (
select *
, rn = row_number() over (partition by t.EmployeeId order by t.Id)
from t
) t
cross apply (values
('Monday',Monday),('Tuesday',Tuesday),('Wednesday',Wednesday)
,('Thursday',Thursday),('Friday',Friday)
) x (WorkDay,Time)
where WorkDay = datename(weekday,getdate())
group by t.EmployeeId, x.WorkDay
returns:
+------------+---------+----------+---------+
| EmployeeId | WorkDay | StarTime | EndTime |
+------------+---------+----------+---------+
| 1 | Friday | 5 | 3 |
+------------+---------+----------+---------+
If you want the output on two rows, like your current output:
/* two rows per employeeId */
select
t.Id
, t.EmployeeId
, x.WorkDay
, t.StartEnd
, x.Time
from (
select *
, StartEnd = case
when row_number() over (partition by t.EmployeeId order by t.Id) = 1
then 'StartTime'
else 'EndTime'
end
from t
) t
cross apply (values
('Monday',Monday),('Tuesday',Tuesday),('Wednesday',Wednesday)
,('Thursday',Thursday),('Friday',Friday)
) x (WorkDay,Time)
where WorkDay = datename(weekday,getdate());
returns:
+----+------------+---------+-----------+------+
| Id | EmployeeId | WorkDay | StartEnd | Time |
+----+------------+---------+-----------+------+
| 1 | 1 | Friday | StartTime | 5 |
| 2 | 1 | Friday | EndTime | 3 |
+----+------------+---------+-----------+------+

select wd.Employee, ws.StartTime, ws.EndTime
from WorkingDays wd
join WorkingSchedule ws on ws.Id = case datename(weekday, getdate())
when 'Monday' then ws.Monday
when 'Tuesday' then ws.Tuesday
when 'Wednesday' then ws.Wednesday
when 'Thursday' then ws.Thursday
when 'Friday' then ws.Friday
else 0
end
Hint: datename(weekday, getdate()) returns you the weekday name in your current locale! This might be better:
select wd.Employee, ws.StartTime, ws.EndTime
from WorkingDays wd
join WorkingSchedule ws on ws.Id = case datepart(weekday, getdate())
when 1 then wd.Monday
when 2 then wd.Tuesday
when 3 then wd.Wednesday
when 4 then wd.Thursday
when 5 then wd.Friday
else 0
end
But then you have to check which day is the first of week (0, 1), depending on your settings.

Related

Obtain Name Column Based on Value

I have a table that calculates the number of associated records that fit a criteria for each parent record. See example below:
note - morning, afternoon and evening are only weekdays
| id | morning | afternoon | evening | weekend |
| -- | ------- | --------- | ------- | ------- |
| 1 | 0 | 2 | 3 | 1 |
| 2 | 2 | 9 | 4 | 6 |
What I am trying to achieve is to determine which columns have the lowest value and get their column name as such:
| id | time_of_day |
| -- | ----------- |
| 1 | morning |
| 2 | afternoon |
Here is my current SQL code to result in the first table:
SELECT
leads.id,
COALESCE(morning, 0) morning,
COALESCE(afternoon, 0) afternoon,
COALESCE(evening, 0) evening,
COALESCE(weekend, 0) weekend
FROM leads
LEFT OUTER JOIN (
SELECT DISTINCT ON (lead_id) lead_id, COUNT(*) AS morning
FROM lead_activities
WHERE lead_activities.modality = 'Call' AND lead_activities.bound_type = 'outbound' AND extract('dow' from created_at) IN (0,1,2,3,4,5) AND (extract('hour' from created_at) >= 0 AND extract('hour' from created_at) < 12)
GROUP BY lead_id
) morning ON morning.lead_id = leads.id
LEFT OUTER JOIN (
SELECT DISTINCT ON (lead_id) lead_id, COUNT(*) AS afternoon
FROM lead_activities
WHERE lead_activities.modality = 'Call' AND lead_activities.bound_type = 'outbound' AND extract('dow' from created_at) IN (0,1,2,3,4,5) AND (extract('hour' from created_at) >= 12 AND extract('hour' from created_at) < 17)
GROUP BY lead_id
) afternoon ON afternoon.lead_id = leads.id
LEFT OUTER JOIN (
SELECT DISTINCT ON (lead_id) lead_id, COUNT(*) AS evening
FROM lead_activities
WHERE lead_activities.modality = 'Call' AND lead_activities.bound_type = 'outbound' AND extract('dow' from created_at) IN (0,1,2,3,4,5) AND (extract('hour' from created_at) >= 17 AND extract('hour' from created_at) < 25)
GROUP BY lead_id
) evening ON evening.lead_id = leads.id
LEFT OUTER JOIN (
SELECT DISTINCT ON (lead_id) lead_id, COUNT(*) AS weekend
FROM lead_activities
WHERE lead_activities.modality = 'Call' AND lead_activities.bound_type = 'outbound' AND extract('dow' from created_at) IN (6,7)
GROUP BY lead_id
) weekend ON weekend.lead_id = leads.id
You can use CASE/WHEN/ELSE to check for the specific conditions and produce different values. For example:
with
q as (
-- your query here
)
select
id,
case
when morning <= least(afternoon, evening, weekend) then 'morning'
when afternoon <= least(morning, evening, weekend) then 'afternoon'
when evening <= least(morning, afternoon, weekend) then 'evening'
else 'weekend'
end as time_of_day
from q

Group by month and name SQL

I need some help with SQL.
I have
Table1 with columns Id, Date1 and Date2
Table2 with columns Table1Id and Table2Id
Table3 with columns Id and Name
Here is my try:
with tmp_tab as (
select
v."Name" as name
, date_part('month', cv."OfferAcceptedDate") as MonthAcceptedName
, date_part('month', cv."OfferSentDate") as MonthSentName
, 1 as cntAcc
, 1 as cntSent
from hr_metrics."CvInfo" as cv
join hr_metrics."CvInfoVacancy" as civ
on civ."CvInfosId" = cv."Id"
join hr_metrics."Vacancy" as v
on civ."VacanciesId" = v."Id"
where cv."OfferSentDate" is not null
and date_part('year', cv."OfferSentDate") = date_part('year', CURRENT_DATE)
group by v."Name" , date_part('month', cv."OfferAcceptedDate"),
date_part('month', cv."OfferSentDate")
)
select distinct
tmp_tab."name" as name,
tmp_tab.MonthSentName as mSent,
tmp_tab.MonthAcceptedName as mAcc,
Sum(tmp_tab.cntSent) as sented,
Sum(tmp_tab.cntacc) as accepted
from tmp_tab as tmp_tab
group by tmp_tab.name, tmp_tab.MonthSentName, tmp_tab.MonthAcceptedName;
I need to take Count(date2)/Count(date1) grouped by monthes and name.
I have no idea how to do that, as there is no table with monthes.
DB - Postgres
sample data from comment:
t1
1 | 01/01/2021 | 31/03/2021
2 | 05/01/2021 | 18/01/2021
3 | 12/01/2021 | 31/01/2021
4 | 13/03/2021 | 22/03/2021
t2
1 | 1
2 | 1
3 | 2
4 | 1
t3
1 | SomeName1
2 | someName2
Desired result:
Name | month | value
SomeName1 | 1 | 1\2
SomeName1 | 3 | 2
SomeName2 | 1 | 1
Update: if count(date2) == 0, than count(date2) = -1
Source answer
Here code for my question thats work. And yeah, i've asked it on ru too.
select name, month, sum((SRC=1)::int) as AcceptedCount, sum((SRC=2)::int) as SentCount,
case when sum((SRC=1)::int) = 0 then -1
else sum((SRC=2)::int)::float / sum((SRC=1)::int) end as Result
from (
select v.name, SRC,
extract('month' from case SRC when 1 then OfferAcceptedDate else OfferSentDate end) as month
from (select (date_part('year', CURRENT_DATE)::char(4) || '-01-01')::timestamptz as from_date) x
cross join (select 1 as SRC union all select 2) s
join CvInfo as cv on (SRC=1 and cv.OfferAcceptedDate >= from_date and cv.OfferAcceptedDate < from_date + interval '1 year')
or (SRC=2 and cv.OfferSentDate >= from_date and cv.OfferSentDate < from_date + interval '1 year')
join CvInfoVacancy as civ on civ.CvInfosId = cv.Id
join Vacancy as v on civ.VacanciesId = v.Id
where case SRC when 1 then OfferAcceptedDate else OfferSentDate end is not null
) x
group by name, month

SQL: Generate Record Per Month In Date Range

I have a table which describes a value which is valid for a certain period of days / months.
The table looks like this:
+----+------------+------------+-------+
| Id | From | To | Value |
+----+------------+------------+-------+
| 1 | 2018-01-01 | 2018-03-31 | ValA |
| 2 | 2018-01-16 | NULL | ValB |
| 3 | 2018-04-01 | 2018-05-12 | ValC |
+----+------------+------------+-------+
As you can see, the only value still valid on this day is ValB (To is nullable, From isn't).
I am trying to achieve a view on this table like this (assuming I render this view someday in july 2018):
+----------+------------+------------+-------+
| RecordId | From | To | Value |
+----------+------------+------------+-------+
| 1 | 2018-01-01 | 2018-01-31 | ValA |
| 1 | 2018-02-01 | 2018-02-28 | ValA |
| 1 | 2018-03-01 | 2018-03-31 | ValA |
| 2 | 2018-01-16 | 2018-01-31 | ValB |
| 2 | 2018-02-01 | 2018-02-28 | ValB |
| 2 | 2018-03-01 | 2018-03-31 | ValB |
| 2 | 2018-04-01 | 2018-04-30 | ValB |
| 2 | 2018-05-01 | 2018-05-31 | ValB |
| 2 | 2018-06-01 | 2018-06-30 | ValB |
| 3 | 2018-04-01 | 2018-04-30 | ValC |
| 3 | 2018-05-01 | 2018-05-12 | ValC |
+----------+------------+------------+-------+
This view basically creates a record for each record in the table, but splitted by month, using the correct dates (especially minding the start and end dates that are not on the first or the last day of the month).
The one record without a To date (so it's still valid to this day), is rendered until the last day of the month in which I render the view, so at the time of writing, this is july 2018.
This is a simple example, but a solution will seriously help me along. I'll need this for multiple calculations, including proration of amounts.
Here's a table script and some insert statements that you can use:
CREATE TABLE [dbo].[Test]
(
[Id] INT IDENTITY(1,1) NOT NULL PRIMARY KEY,
[From] SMALLDATETIME NOT NULL,
[To] SMALLDATETIME NULL,
[Value] NVARCHAR(100) NOT NULL
)
INSERT INTO dbo.Test ([From],[To],[Value])
VALUES
('2018-01-01','2018-03-31','ValA'),
('2018-01-16',null,'ValB'),
('2018-04-01','2018-05-12','ValC');
Thanks in advance!
Generate all months that might appear on your values (with start and end), then join where each month overlaps the period of your values. Change the result so if a month doesn't overlap fully, you just display the limits of your period.
DECLARE #StartDate DATE = '2018-01-01'
DECLARE #EndDate DATE = '2020-01-01'
;WITH GeneratedMonths AS
(
SELECT
StartDate = #StartDate,
EndDate = EOMONTH(#StartDate)
UNION ALL
SELECT
StartDate = DATEADD(MONTH, 1, G.StartDate),
EndDate = EOMONTH(DATEADD(MONTH, 1, G.StartDate))
FROM
GeneratedMonths AS G
WHERE
DATEADD(MONTH, 1, G.StartDate) < #EndDate
)
SELECT
T.Id,
[From] = CASE WHEN T.[From] >= G.StartDate THEN T.[From] ELSE G.StartDate END,
[To] = CASE WHEN G.EndDate >= T.[To] THEN T.[To] ELSE G.EndDate END,
T.Value
FROM
dbo.Test AS T
INNER JOIN GeneratedMonths AS G ON
G.EndDate >= T.[From] AND
G.StartDate <= ISNULL(T.[To], GETDATE())
ORDER BY
T.Id,
G.StartDate
OPTION
(MAXRECURSION 3000)
Recursive cte is very simple way if you don't have a large dataset :
with t as (
select id, [from], [to], Value
from Test
union all
select id, dateadd(mm, 1, [from]), [to], value
from t
where dateadd(mm, 1, [from]) < coalesce([to], getdate())
)
select id, [from], (case when eomonth([from]) <= coalesce([to], cast(getdate() as date))
then eomonth([from]) else coalesce([to], eomonth([from]))
end) as [To],
Value
from t
order by id;
By using date functions and recursive CTE.
with cte as
(
Select Id, Cast([From] as date) as [From], EOMONTH([from]) as [To1],
COALESCE([To],EOMONTH(GETDATE())) AS [TO],Value from test
UNION ALL
Select Id, DATEADD(DAY,1,[To1]),
CASE when EOMONTH(DATEADD(DAY,1,[To1])) > [To] THEN CAST([To] AS DATE)
ELSE EOMONTH(DATEADD(DAY,1,[To1])) END as [To1],
[To],Value from cte where TO1 <> [To]
)
Select Id, [From],[To1] as [To], Value from cte order by Id
#EzLo your solution is good but require setting 2 variables with fixed values.
To avoid this you can do recursive CTE on real data
WITH A AS(
SELECT
T.Id, CAST(T.[From] AS DATE) AS [From], CASE WHEN T.[To]<EOMONTH(T.[From], 0) THEN T.[To] ELSE EOMONTH(T.[From], 0) END AS [To], T.Value, CAST(0 AS INTEGER) AS ADD_M
FROM
TEST T
UNION ALL
SELECT
T.Id, DATEADD(DAY, 1, EOMONTH(T.[From], -1+(A.ADD_M+1))), CASE WHEN T.[To]<EOMONTH(T.[From], A.ADD_M+1) THEN T.[To] ELSE EOMONTH(T.[From], A.ADD_M+1) END AS [To], T.Value, A.ADD_M+1
FROM
TEST T
INNER JOIN A ON T.Id=A.Id AND DATEADD(MONTH, A.ADD_M+1, T.[From]) < CASE WHEN T.[To] IS NULL THEN CAST(GETDATE() AS DATE) ELSE T.[To] END
)
SELECT
A.[Id], A.[From], A.[To], A.[Value]
FROM
A
ORDER BY A.[Id], A.[From]

SQL to find timespan between rows based on ID

I have the following table in a SQL db (HeartbeatHistory)
Timestamp | Comment | Id
------------------------
The comment can contain OK or ERR
The Id is the Id of the thing that has that comment.
I want to be able to query the table and find the durations that any given id was in an Error state.
Timestamp | Comment | Id
------------------------
12:00:00 | OK | 1
11:59:00 | ERR | 2
11:58:00 | OK | 4
11:57:00 | OK | 3
11:45:00 | ERR | 4
11:20:00 | OK | 2
11:00:00 | ERR | 3
11:30:00 | OK | 5
11:20:00 | ERR | 1
11:10:00 | OK | 1
11:00:00 | ERR | 1
10:30:00 | ERR | 5
So in the above table If I queried for 11:00:00 to 13:00:00 I would want to see.
ErrorStart | ErrorEnd | Id
--------------------------
11:00:00 | 11:10:00 | 1
11:20:00 | 12:00:00 | 1
11:59:00 | 12:00:00 | 2
11:00:00 | 11:57:00 | 3
11:45:00 | 11:58:00 | 4
11:00:00 | 11:30:00 | 5
(notice 5 started error before query date!!)
Is this possible? Also an Id might change state multiple times during the queried period.
So far I have this, which works for a single Id, but I need to make it work for multiple Ids.
declare #startDate datetime = #from;
declare #endDate datetime = #to;
declare #kpiId = 1;
select Foo.RowCreatedTimestamp, Foo.Comment, Foo.NextTimeStamp, Foo.NextComment, Foo.HeartBeatId, Foo.NextHeartBeatId
from (
select RowCreatedTimestamp, Comment,
lag(RowCreatedTimestamp, 1, 0) over (order by RowCreatedTimestamp desc) as NextTimeStamp,
lag(Comment, 1, 0) over (order by RowCreatedTimestamp desc) as NextComment,
HeartBeatId
from dbo.tblHeartbeatHistory
where RowCreatedTimestamp >= #startDate and RowCreatedTimestamp <= #endDate
and HeartbeatId in
(
select HeartbeatId
from dbo.tblKpiHeartBeats
where KpiId = #kpiId
)
) as Foo
where Foo.Comment like '%set to ERR%'
order by Foo.RowCreatedTimestamp desc;
So if the select HeartbeatId from dbo.tblKpiHeartBeats returns a single Id, this works. As soon as their are multiple id's it does not :(
To avoid confusion:
The table with the Timestamp, Comment and Id is HeartbeatHistory.
The other table referenced in my SQL is dbo.tblKpiHeartBeats.
This table looks like:
Kpi | HeartbeatId
-----------------
1 | 1
1 | 2
1 | 3
1 | 4
1 | 5
So i want all the error intervals for Kpi = 1, it would return the error intervals for HeartbeatId 1,2,3,4 and 5.
Further note. The data may have multiple errors in a row before an OK comes in.
It may just be all ERR for the query period or all OK.
You can add second CTE Id you want full join ERR AND OK rows (Code below only for OK rows)
WIRH History AS (
SELECT
FROM HeartbeatHistory
WHERE Timestamp BETWEEN #DateStart AND #DateEnd
), Errors AS(
SELECT Id, MIN(Timestamp) AS ErrorStart
FROM History
WHERE Comment = 'ERR'
GROUP BY Id
)
SELECT
ErrorStart = E.ErrorStart ,
ErrorEnd = O.Timestamp,
Id = O.Id
FROM History O
LEFT JOIN Errors E ON E.Id = O.Id
WHERE O.Comment = 'OK'
Edit: You can add prevOK timespan (or PK) column to the table (probably computed persistent) - link to last good row. It will be used as Id of row in your report.
Try this index:
CREATE INDEX IDX_EXAMPLE ON HeartbeatHistory (Timestamp, Id, prevOK, Comment)
WIRH History AS (
SELECT
FROM HeartbeatHistory
WHERE Timestamp BETWEEN #DateStart AND #DateEnd
)
SELECT
ErrorStart = E.ErrorStart ,
ErrorEnd = O.Timestamp,
Id = O.Id
FROM History O
OUTER APPLY (
SELECT MIN(Timestamp) AS ErrorStart
FROM History E
WHERE E.Id = O.ID AND E.prevOK = O.prevOK
)
WHERE O.Comment = 'OK'
The simplest method is to use lead(). If I assume that ERR does not occur twice in a row (as in your sample data):
select (case when timestamp >= '11:00:00' then timestamp else '11:00:00' end) as errorStart,
(case when next_timestamp <= '13:00:00' then next_timestamp else '13:00:00') as errorEnd,
id
from (select t.*,
lead(timestamp) over (partition by id order by timestamp) as next_timestamp
from t
) t
where comment = 'ERR' and
(timestamp <= '13:00:00' and
(next_timestamp >= '11:00:00' or next_timestamp is null)
);
Try this:
DECLARE #table TABLE (Timestmp TIME(1), Comment NVARCHAR(5), Id INT) --your table
INSERT INTO #table VALUES
('12:00:00','OK ','1'),('11:59:00','ERR','2'),('11:58:00','OK ','4'),('11:57:00','OK ','3'),
('11:45:00','ERR','4'),('11:20:00','OK ','2'),('11:00:00','ERR','3'),('11:30:00','OK ','5'),
('11:20:00','ERR','1'),('11:10:00','OK ','1'),('11:00:00','ERR','1'),('10:30:00','ERR','5')
DECLARE #ROWER TABLE (id INT IDENTITY(1,1), Timestmp TIME(1))
INSERT INTO #ROWER SELECT Timestmp FROM #table WHERE Comment='OK' ORDER BY Timestmp
DECLARE #TIME TIME(1) = '11:00:00' --your condition
SELECT DISTINCT CASE WHEN A.Timestmp >=#TIME THEN A.Timestmp ELSE #TIME END ErrorStart,
CASE WHEN B.Timestmp > A.Timestmp THEN B.Timestmp ELSE '' END ErrorEnd,
A.Id FROM (
SELECT ROW_NUMBER() OVER (ORDER BY id,Timestmp) rowid,* FROM #table WHERE Comment = 'ERR'
) A LEFT JOIN (
SELECT ROW_NUMBER() OVER (ORDER BY id,Timestmp) rowid,* FROM #table WHERE Comment = 'OK'
) B ON A.rowid = B.rowid
LEFT JOIN ( SELECT A.id,A.Timestmp t1,B.Timestmp t2 FROM #ROWER A
LEFT JOIN (SELECT id-1 id, Timestmp FROM #ROWER) B ON A.id=B.id
) C ON A.Timestmp BETWEEN C.t1 AND C.t2 ORDER BY A.Id
Hope it helps. :)

Count and pivot a table by date

I would like to identify the returning customers from an Oracle(11g) table like this:
CustID | Date
-------|----------
XC321 | 2016-04-28
AV626 | 2016-05-18
DX970 | 2016-06-23
XC321 | 2016-05-28
XC321 | 2016-06-02
So I can see which customers returned within various windows, for example within 10, 20, 30, 40 or 50 days. For example:
CustID | 10_day | 20_day | 30_day | 40_day | 50_day
-------|--------|--------|--------|--------|--------
XC321 | | | 1 | |
XC321 | | | | 1 |
I would even accept a result like this:
CustID | Date | days_from_last_visit
-------|------------|---------------------
XC321 | 2016-05-28 | 30
XC321 | 2016-06-02 | 5
I guess it would use a partition by windowing clause with unbounded following and preceding clauses... but I cannot find any suitable examples.
Any ideas...?
Thanks
No need for window functions here, you can simply do it with conditional aggregation using CASE EXPRESSION :
SELECT t.custID,
COUNT(CASE WHEN (last_visit- t.date) <= 10 THEN 1 END) as 10_day,
COUNT(CASE WHEN (last_visit- t.date) between 11 and 20 THEN 1 END) as 20_day,
COUNT(CASE WHEN (last_visit- t.date) between 21 and 30 THEN 1 END) as 30_day,
.....
FROM (SELECT s.custID,
LEAD(s.date) OVER(PARTITION BY s.custID ORDER BY s.date DESC) as last_visit
FROM YourTable s) t
GROUP BY t.custID
Oracle Setup:
CREATE TABLE customers ( CustID, Activity_Date ) AS
SELECT 'XC321', DATE '2016-04-28' FROM DUAL UNION ALL
SELECT 'AV626', DATE '2016-05-18' FROM DUAL UNION ALL
SELECT 'DX970', DATE '2016-06-23' FROM DUAL UNION ALL
SELECT 'XC321', DATE '2016-05-28' FROM DUAL UNION ALL
SELECT 'XC321', DATE '2016-06-02' FROM DUAL;
Query:
SELECT *
FROM (
SELECT CustID,
Activity_Date AS First_Date,
COUNT(1) OVER ( PARTITION BY CustID
ORDER BY Activity_Date
RANGE BETWEEN CURRENT ROW AND INTERVAL '10' DAY FOLLOWING )
- 1 AS "10_Day",
COUNT(1) OVER ( PARTITION BY CustID
ORDER BY Activity_Date
RANGE BETWEEN CURRENT ROW AND INTERVAL '20' DAY FOLLOWING )
- 1 AS "20_Day",
COUNT(1) OVER ( PARTITION BY CustID
ORDER BY Activity_Date
RANGE BETWEEN CURRENT ROW AND INTERVAL '30' DAY FOLLOWING )
- 1 AS "30_Day",
COUNT(1) OVER ( PARTITION BY CustID
ORDER BY Activity_Date
RANGE BETWEEN CURRENT ROW AND INTERVAL '40' DAY FOLLOWING )
- 1 AS "40_Day",
COUNT(1) OVER ( PARTITION BY CustID
ORDER BY Activity_Date
RANGE BETWEEN CURRENT ROW AND INTERVAL '50' DAY FOLLOWING )
- 1 AS "50_Day",
ROW_NUMBER() OVER ( PARTITION BY CustID ORDER BY Activity_Date ) AS rn
FROM Customers
)
WHERE rn = 1;
Output
USTID FIRST_DATE 10_Day 20_Day 30_Day 40_Day 50_Day RN
------ ------------------- ---------- ---------- ---------- ---------- ---------- ----------
AV626 2016-05-18 00:00:00 0 0 0 0 0 1
DX970 2016-06-23 00:00:00 0 0 0 0 0 1
XC321 2016-04-28 00:00:00 0 0 1 2 2 1
Here is an answer that works for me, I have based it on your answers above, thanks for contributions from MT0 and Sagi:
SELECT CustID,
visit_date,
Prev_Visit ,
COUNT( CASE WHEN (Days_between_visits) <=10 THEN 1 END) AS "0-10_day" ,
COUNT( CASE WHEN (Days_between_visits) BETWEEN 11 AND 20 THEN 1 END) AS "11-20_day" ,
COUNT( CASE WHEN (Days_between_visits) BETWEEN 21 AND 30 THEN 1 END) AS "21-30_day" ,
COUNT( CASE WHEN (Days_between_visits) BETWEEN 31 AND 40 THEN 1 END) AS "31-40_day" ,
COUNT( CASE WHEN (Days_between_visits) BETWEEN 41 AND 50 THEN 1 END) AS "41-50_day" ,
COUNT( CASE WHEN (Days_between_visits) >50 THEN 1 END) AS "51+_day"
FROM
(SELECT CustID,
visit_date,
Lead(T1.visit_date) over (partition BY T1.CustID order by T1.visit_date DESC) AS Prev_visit,
visit_date - Lead(T1.visit_date) over (
partition BY T1.CustID order by T1.visit_date DESC) AS Days_between_visits
FROM T1
) T2
WHERE Days_between_visits >0
GROUP BY T2.CustID ,
T2.visit_date ,
T2.Prev_visit ,
T2.Days_between_visits;
This returns:
CUSTID | VISIT_DATE | PREV_VISIT | DAYS_BETWEEN_VISIT | 0-10_DAY | 11-20_DAY | 21-30_DAY | 31-40_DAY | 41-50_DAY | 51+DAY
XC321 | 2016-05-28 | 2016-04-28 | 30 | | | 1 | | |
XC321 | 2016-06-02 | 2016-05-28 | 5 | 1 | | | | |