I have a columns as Memnumber, activity type, activity date, activity ID. One member can have activities after few days. I want to write a case statement that if the activity date is most initial then INITIAL and if activity is most recent then MR and if there is any activity in between these 2 dates then BETWEEN. They need to be grouped by Memnumber and treatment type.
I wrote query as :
--MR County Tree
SELECT T0.MEMBERNUMBER,
T0.ACTIVITYTYPE,
T1.MR_CY17,
T1.IN_CY17,
T0.ACTIVITY_DATE,
(T0.ACTIVITYID)
FROM DLA_EXTRACT_FINAL T0
INNER JOIN (
SELECT MEMBERNUMBER,
ACTIVITYTYPE,
MAX(ACTIVITY_DATE) MR_CY17,
MIN(ACTIVITY_DATE) IN_CY17
FROM DLA20_EXTRACT_FINAL
WHERE to_char(ACTIVITY_DATE, 'YYYYMMDD') >= 20170101
AND to_char(ACTIVITY_DATE, 'YYYYMMDD') <= 20171231
GROUP BY MEMBERNUMBER,
ACTIVITYTYPE
) T1 ON T0.MEMBERNUMBER = T1.MEMBERNUMBER
AND T0.ACTIVITYTYPE = T1.ACTIVITYTYPE
AND T0.ACTIVITY_DATE = T1.MR_CY17
--where T0.ACTIVITYTYPE='MT'
WHERE t0.MEMBERNUMBER = 'M500085268'
GROUP BY T0.MEMBERNUMBER,
T0.ACTIVITYTYPE,
T1.MR_CY17,
T1.IN_CY17,
T0.ACTIVITYID,
T0.ACTIVITY_DATE
ORDER BY T0.MEMBERNUMBER,
T0.ACTIVITYTYPE,
T1.MR_CY17,
T1.IN_CY17.
Looking for a solution.
You want to use window functions. Something like:
SELECT T0.MEMBERNUMBER,
T0.ACTIVITYTYPE,
T0.ACTIVITY_DATE,
T0.ACTIVITYID,
case when row_number() over (partition by T0.MEMBERNUMBER, T0.ACTIVITYTYPE
order by T0.ACTIVITY_DATE) = 1 then 1 else 0 end most_initial,
case when row_number() over (partition by T0.MEMBERNUMBER, T0.ACTIVITYTYPE
order by T0.ACTIVITY_DATE desc) = 1 then 1 else 0 end most_recent
FROM DLA_EXTRACT_FINAL T0
Then you can use case statements to label as INITIAL if most_intial = 1, MR if most_recent = 1, or BETWEEN if both are 0.
Related
I have a table with three columns: start_date, client_id, active.
I need to check the condition: if the user in the last month had active = 1, and at the time start_date active = 0, then assign the value 1, otherwise - 0
The dates in the table are slices for half a year, I only need to check the dates from 06.01.2021
How can I do that?
One option might be this:
select *
from your_table a
where a.active = 0
and a.date_column = :par_certain_date
and a.id in (select b.id
from your_table b
where b.id = a.id
and b.active = 1
and b.date_column= add_months(:par_certain_date, -1)
)
One option is to use window functions:
select t.*
from (select t.*,
max(active) over (partition by id
order by date_column
range between '1' month preceding and '1' month preceding
) as prev_active
from t
) t
where active = 0 and prev_active = 1 and
date = :certain_date;
I have a table which has a timestamp and inCycle status of a machine. I'm using two CTE's and doing an INNER JOIN on row number so I can easily compare the timestamp of one row to the next. I have the DATEDIFF working and now I need to look at the inCycle status. Basically, if the inCycleThis and inCycleNext both = 1, I need to add it to an InCycle total.
Similarly (Shown table will make this clear):
incycleThis/next = 0,1 = not in cycle
incycleThis/next = 0,0 = not in cycle
incycleThis/next = 1,1 = in cycle
If I was doing this client side, this would be pretty simple. I need to do this in a stored procedure though due to there being a lot of records. I'd love to use an 'IF' in the SELECT section, but it seems that's not how it works.
The result I'm looking for at the end is simply: InCycle = Xtime. Something like:
SUM(Diff_seconds if((InCycleThis = 1 AND InCycleNext = 1) OR (InCycleThis = 1 AND InCycleNext = 0))
This is what I have so far:
WITH History_CTE (DT, MID, FRO, IC, RowNum)
AS
(
SELECT DateAndTime
,MachineID
,FeedRateOverride
,InCycle
,ROW_NUMBER()OVER(ORDER BY MachineID, DateAndTime) AS "row number"
FROM History
WHERE DateAndTime >= '2020-11-15'
AND DateAndTime < '2020-11-16'
),
History2_CTE (DT2, MID2, FRO2, IC2, RowNum2)
AS
(
SELECT DateAndTime
,MachineID
,FeedRateOverride
,InCycle
,ROW_NUMBER()OVER(ORDER BY MachineID, DateAndTime) AS "row number"
FROM History
WHERE DateAndTime >= '2020-11-15'
AND DateAndTime < '2020-11-16'
)
SELECT DT as 'TimeStamp'
,DT2 as 'TimeStamp Next Row'
,MID
,FRO
,IC as 'InCycle this'
,IC2 as 'InCycle next'
,RowNum
,DATEDIFF(s, History2_CTE.DT2, History_CTE.DT) AS 'Diff_seconds'
FROM History_CTE
INNER JOIN
History2_CTE ON History_CTE.RowNum = History2_CTE.RowNum2 + 1
Consider adding a third CTE to first conditionally calculate your needed value. Then aggregate for final statement. Recall CTEs can reference previously defined CTEs. Be sure to always quailfy columns with table aliases in JOIN queries.
WITH
... first two ctes...
, sub AS (
SELECT h1.DT AS 'TimeStamp'
, h2.DT2 AS 'TimeStamp Next Row'
, h1.MID
, h1.FRO
, h1.IC AS 'InCycle this'
, h2.IC2 AS 'InCycle next'
, h1.RowNum
, DATEDIFF(s, h2.DT2, h1.DT) AS 'Diff_seconds'
, CASE
WHEN (h1.IC = 1 AND h2.IC2 = 1) OR (h1.IC= 1 AND h2.IC2 = 0)
THEN DATEDIFF(s, h2.DT2, h1.DT)
END AS 'IC_Diff_seconds'
FROM History_CTE h1
INNER JOIN History2_CTE h2
ON h1.RowNum = h2.RowNum2 + 1
)
SELECT SUM([Diff_seconds]) AS Diff_seconds_Total
, SUM([IC_Diff_seconds]) AS IC_Diff_seconds_Total
FROM sub
And if needing to add groupings, incorporate GROUP BY:
SELECT h1.MID
, h1.FRO
, SUM([Diff_seconds]) AS Diff_seconds_Total
, SUM([IC_Diff_seconds]) AS IC_Diff_seconds_Total
FROM sub
GROUP BY h1.MID
, h1.FRO
Even aggregate calculations by day:
SELECT CONVERT(date, [TimeStamp]) AS [Day]
, SUM([Diff_seconds]) AS Diff_seconds_Total
, SUM([IC_Diff_seconds]) AS IC_Diff_seconds_Total
FROM sub
GROUP BY CONVERT(date, [TimeStamp])
The result I'm looking for at the end is simply: InCycle = Xtime. Something like:
SUM(Diff_seconds if((InCycleThis = 1 AND InCycleNext = 1) OR (InCycleThis = 1 AND InCycleNext = 0))
As I understand your question, you just need to sum the difference betwen the timestamp of "in cycle" rows and the timestamp of the next row.
select machineid,
sum(datediff(s, dateandtime, lead_dateandtime)) as total_in_time
from (
select h.*,
lead(dateandtime) over(partition by machineid order by dateandtime) as lead_dateandtime
from history h
) h
where inclycle = 1
group by machineid
Help! We're trying to create a new column (Is Valid?) to reproduce the logic below.
It is a binary result that:
it is 1 if it is the first known value of an ID
it is 1 if it is 3 seconds or later than the previous "1" of that ID
Note 1: this is not the difference in seconds from the previous record
It is 0 if it is less than 3 seconds than the previous "1" of that ID
Note 2: there are many IDs in the data set
Note 3: original dataset has ID and Date
Attached a PoC of the data and the expected result.
You would have to do this using a recursive CTE, which is quite expensive:
with tt as (
select t.*, row_number() over (partition by id order by time) as seqnum
from t
),
recursive cte as (
select t.*, time as grp_start
from tt
where seqnum = 1
union all
select tt.*,
(case when tt.time < cte.grp_start + interval '3 second'
then tt.time
else tt.grp_start
end)
from cte join
tt
on tt.seqnum = cte.seqnum + 1
)
select cte.*,
(case when grp_start = lag(grp_start) over (partition by id order by time)
then 0 else 1
end) as isValid
from cte;
A "Case" in CRM has a field called "Status" with four options.
I'm trying to
build a report in CRM that fills a table with every week of the year (each row is a different week), and then counts the number of cases that have each Status option (the columns would be each of the Status options).
The table would look like this
Status 1 Status 2 Status 3
Week 1 3 55 4
Week 2 5 23 5
Week 3 14 11 33
So far I have the following:
SELECT
SUM(case WHEN status = 1 then 1 else 0 end) Status1,
SUM(case WHEN status = 2 then 1 else 0 end) Status2,
SUM(case WHEN status = 3 then 1 else 0 end) Status3,
SUM(case WHEN status = 4 then 1 else 0 end) Status4,
SUM(case WHEN status = 5 then 1 else 0 end) Status5
FROM [DB].[dbo].[Contact]
Which gives me the following:
Status 1 Status 2 Status 3
2 43 53
Now I need to somehow split this into 52 rows for the past year and filter these results by date (columns in the Contact table). I'm a bit new to SQL queries and CRM - any help here would be much appreciated.
Here is a SQLFiddle with my progress and sample data: http://sqlfiddle.com/#!2/85b19/1
Sounds like you want to group by a range. The trick is to create a new field that represents each range (for you one per year) and group by that.
Since it also seems like you want an infinite range of dates, marc_s has a good summary for how to do the group by trick with dates in a generic way: SQL group by frequency within a date range
So, let's break this down:
You want to make a report that shows, for each contact, a breakdown, week by week, of the number of cases registered to that contact, which is divided into three columns, one for each StateCode.
If this is the case, then you would need to have 52 date records (or so) for each contact. For calendar like requests, it's always good to have a separate calendar table that lets you query from it. Dan Guzman has a blog entry that creates a useful calendar table which I'll use in the query.
WITH WeekNumbers AS
(
SELECT
FirstDateOfWeek,
-- order by first date of week, grouping calendar year to produce week numbers
WeekNumber = row_number() OVER (PARTITION BY CalendarYear ORDER BY FirstDateOfWeek)
FROM
master.dbo.Calendar -- created from script
GROUP BY
FirstDateOfWeek,
CalendarYear
), Calendar AS
(
SELECT
WeekNumber =
(
SELECT
WeekNumber
FROM
WeekNumbers WN
WHERE
C.FirstDateOfWeek = WN.FirstDateOfWeek
),
*
FROM
master.dbo.Calendar C
WHERE
CalendarDate BETWEEN '1/1/2012' AND getutcdate()
)
SELECT
C.FullName,
----include the below if the data is necessary
--Cl.WeekNumber,
--Cl.CalendarYear,
--Cl.FirstDateOfWeek,
--Cl.LastDateOfWeek,
'Week: ' + CAST(Cl.WeekNumber AS VARCHAR(20))
+ ', Year: ' + CAST(Cl.CalendarYear AS VARCHAR(20)) WeekNumber
FROM
CRM.dbo.Contact C
-- use a cartesian join to produce a table list
CROSS JOIN
(
SELECT
DISTINCT WeekNumber,
CalendarYear,
FirstDateOfWeek,
LastDateOfWeek
FROM
Calendar
) Cl
ORDER BY
C.FullName,
Cl.WeekNumber
This is different from the solution Ben linked to because Marc's query only returns weeks where there is a matching value, whereas you may or may not want to see even the weeks where there is no activity.
Once you have your core tables of contacts split out week by week as in the above (or altered for your specific time period), you can simply add a subquery for each StateCode to see the breakdown in columns as in the final query below.
WITH WeekNumbers AS
(
SELECT
FirstDateOfWeek,
WeekNumber = row_number() OVER (PARTITION BY CalendarYear ORDER BY FirstDateOfWeek)
FROM
master.dbo.Calendar
GROUP BY
FirstDateOfWeek,
CalendarYear
), Calendar AS
(
SELECT
WeekNumber =
(
SELECT
WeekNumber
FROM
WeekNumbers WN
WHERE
C.FirstDateOfWeek = WN.FirstDateOfWeek
),
*
FROM
master.dbo.Calendar C
WHERE
CalendarDate BETWEEN '1/1/2012' AND getutcdate()
)
SELECT
C.FullName,
--Cl.WeekNumber,
--Cl.CalendarYear,
--Cl.FirstDateOfWeek,
--Cl.LastDateOfWeek,
'Week: ' + CAST(Cl.WeekNumber AS VARCHAR(20)) +', Year: ' + CAST(Cl.CalendarYear AS VARCHAR(20)) WeekNumber,
(
SELECT
count(*)
FROM
CRM.dbo.Incident I
INNER JOIN CRM.dbo.StringMap SM ON
I.StateCode = SM.AttributeValue
INNER JOIN
(
SELECT
DISTINCT ME.Name,
ME.ObjectTypeCode
FROM
CRM.MetadataSchema.Entity ME
) E ON
SM.ObjectTypeCode = E.ObjectTypeCode
WHERE
I.ModifiedOn >= Cl.FirstDateOfWeek
AND I.ModifiedOn < dateadd(day, 1, Cl.LastDateOfWeek)
AND E.Name = 'incident'
AND SM.AttributeName = 'statecode'
AND SM.LangId = 1033
AND I.CustomerId = C.ContactId
AND SM.Value = 'Active'
) ActiveCases,
(
SELECT
count(*)
FROM
CRM.dbo.Incident I
INNER JOIN CRM.dbo.StringMap SM ON
I.StateCode = SM.AttributeValue
INNER JOIN
(
SELECT
DISTINCT ME.Name,
ME.ObjectTypeCode
FROM
CRM.MetadataSchema.Entity ME
) E ON
SM.ObjectTypeCode = E.ObjectTypeCode
WHERE
I.ModifiedOn >= Cl.FirstDateOfWeek
AND I.ModifiedOn < dateadd(day, 1, Cl.LastDateOfWeek)
AND E.Name = 'incident'
AND SM.AttributeName = 'statecode'
AND SM.LangId = 1033
AND I.CustomerId = C.ContactId
AND SM.Value = 'Resolved'
) ResolvedCases,
(
SELECT
count(*)
FROM
CRM.dbo.Incident I
INNER JOIN CRM.dbo.StringMap SM ON
I.StateCode = SM.AttributeValue
INNER JOIN
(
SELECT
DISTINCT ME.Name,
ME.ObjectTypeCode
FROM
CRM.MetadataSchema.Entity ME
) E ON
SM.ObjectTypeCode = E.ObjectTypeCode
WHERE
I.ModifiedOn >= Cl.FirstDateOfWeek
AND I.ModifiedOn < dateadd(day, 1, Cl.LastDateOfWeek)
AND E.Name = 'incident'
AND SM.AttributeName = 'statecode'
AND SM.LangId = 1033
AND I.CustomerId = C.ContactId
AND SM.Value = 'Canceled'
) CancelledCases
FROM
CRM.dbo.Contact C
CROSS JOIN
(
SELECT
DISTINCT WeekNumber,
CalendarYear,
FirstDateOfWeek,
LastDateOfWeek
FROM
Calendar
) Cl
ORDER BY
C.FullName,
Cl.WeekNumber
I need to analyze some weblogs and determine if a user has visited once, taken a year break, and visited again. I want to add a flag to every row (Y/N) with a VisitId that meets the above criteria.
How would I go about creating this sql?
Here are the fields I have, that I think need to be used (by analyzing the timestamp of the first page of each visit):
VisitID - each visit has a unique Id (ie. 12356, 12345, 16459)
UserID - each user has one Id (ie. steve = 1, ted = 2, mark = 12345, etc...)
TimeStamp - looks like this: 2010-01-01 00:32:30.000
select VisitID, UserID, TimeStamp from page_view_t where pageNum = 1;
thanks - any help would be greatly appreciated.
You could rank every user's rows, then join the ranked row set to itself to compare adjacent rows:
;
WITH ranked AS (
SELECT
*,
rnk = ROW_NUMBER() OVER (PARTITION BY UserID ORDER BY TimeStamp)
FROM page_view_t
),
flagged AS (
SELECT
*,
IsReturnVisit = CASE
WHEN EXISTS (
SELECT *
FROM ranked
WHERE UserID = r.UserID
AND rnk = r.rnk - 1
AND TimeStamp <= DATEADD(YEAR, -1, r.TimeStamp)
)
THEN 'Y'
ELSE 'N'
END
FROM ranked r
)
SELECT
VisitID,
UserID,
TimeStamp,
IsReturnVisit
FROM flagged
Note: the above flags only return visits.
UPDATE
To flag the first visits same as return visits, the flagged CTE could be modified as follows:
…
SELECT
*,
IsFirstOrReturnVisit = CASE
WHEN p.UserID IS NULL OR r.TimeStamp >= DATEADD(YEAR, 1, p.TimeStamp)
THEN 'Y'
ELSE 'N'
END
FROM ranked r
LEFT JOIN ranked p ON r.UserID = p.UserID AND r.rnk = p.rnk + 1
…
References that might be useful:
WITH common_table_expression (Transact-SQL)
Ranking Functions (Transact-SQL)
ROW_NUMBER (Transact-SQL)
The other guy was faster but since I took time to do it and it's a completely different approach I might as well post It :D.
SELECT pv2.VisitID,
pv2.UserID,
pv2.TimeStamp,
CASE WHEN pv1.VisitID IS NOT NULL
AND pv3.VisitID IS NULL
THEN 'YES' ELSE 'NO' END AS IsReturnVisit
FROM page_view_t pv2
LEFT JOIN page_view_t pv1 ON pv1.UserID = pv2.UserID
AND pv1.VisitID <> pv2.VisitID
AND (pv1.TimeStamp <= DATEADD(YEAR, -1, pv2.TimeStamp)
OR pv2.TimeStamp <= DATEADD(YEAR, -1, pv1.TimeStamp))
AND pv1.pageNum = 1
LEFT JOIN page_view_t pv3 ON pv1.UserID = pv3.UserID
AND (pv3.TimeStamp BETWEEN pv1.TimeStamp AND pv2.TimeStamp
OR pv3.TimeStamp BETWEEN pv2.TimeStamp AND pv1.TimeStamp)
AND pv3.pageNum = 1
WHERE pv2.pageNum = 1
Assuming page_view_t table stores UserID and TimeStamp details of each visit of the user, the following query will return users who have visited taking a break of at least an year (365 days) between two consecutive visits.
select t1.UserID
from page_view_t t1
where (
select datediff(day, max(t2.[TimeStamp]), t1.[TimeStamp])
from page_view_t t2
where t2.UserID = t1.UserID and t2.[TimeStamp] < t1.[TimeStamp]
group by t2.UserID
) >= 365