I need to simplify a complex old query in order to filter is with date range.
I got a table with Tickets and TicketNotes.
I need
a column with the Tickets count of the day
a column with the Tickets count with a specific note of the day
the date
The old query
SELECT SUM(IFNULL(qtickets.count, 0)) j, SUM(IFNULL(mtickets.count, 0)) m FROM (
SELECT
COUNT(tickets.id) COUNT,
DATE(tickets.date) DATE
FROM
tickets
WHERE
tickets.status = 'Closed' AND tickets.did = 7
AND MONTH(tickets.date) = MONTH( CURRENT_DATE - INTERVAL 1 MONTH )
AND YEAR(tickets.date) = YEAR( CURRENT_DATE - INTERVAL 1 MONTH )
GROUP BY
DATE(tickets.date)
) AS mtickets LEFT JOIN (
SELECT
1 AS COUNT,
DATE(tickets.date) DATE
FROM
ticketnotes
INNER JOIN tickets ON tickets.id = ticketnotes.ticketid
WHERE
ticketnotes.message LIKE '%https://xxxxx.net/help/tickets/%'
AND tickets.status = 'Closed'
AND tickets.did = 7
AND MONTH(tbltickets.date) = MONTH( CURRENT_DATE - INTERVAL 1 MONTH )
AND YEAR(tbltickets.date) = YEAR( CURRENT_DATE - INTERVAL 1 MONTH )
GROUP BY
DATE(tickets.date)
) AS qtickets ON (mtickets.date = qtickets.date)
The goal is to get a result of
Date | M | Q
===================
2020-04-01 | 1 | 1
2020-04-02 | 2 | 1
2020-04-03 | 5 | 2
...
2020-04-30 | 3 | 0
With M be the total closed tickets of the day for did = 7 and Q be the total closed tickets that got the note.message.
I need to check the query with one instance of date filter date BETWEEN '2020-04-01' AND '2020-04-30' and still get the correct three columns.
=======
UPDATE:
When I'm trying to add AND DATE(tickets.date) BETWEEN DATE('2020-04-01') AND DATE('2020-04-30') in Gordon's answer, I got other result data from my primary query.
QUERY:
SELECT
DATE(t.date),
COUNT(t.id) AS num_tickets,
(CASE WHEN COUNT(tn.ticketid) = 0 THEN 0 ELSE 1 END) AS num_with_message
FROM
tickets t
LEFT JOIN ticketnotes tn ON
tn.ticketid = t.id AND tn.message LIKE '%https://xxxxx.net/help/tickets/%'
WHERE
t.status = 'Closed' AND t.did = 7
AND DATE(t.date) BETWEEN DATE('2020-04-01') AND DATE('2020-04-30')
GROUP BY
DATE(t.date)
The result is getting num_tickets with wrong data as getting num_ticket without JOIN.
Any suggestions ?
You could try using case for the ehere like
SELECT
DATE(tickets.date) DATE
, COUNT(tickets.id) M
, case sum( ticketnotes.message LIKE '%https://xxxxx.net/help/tickets/%' <> 0 ) then 1 else null end Q
FROM
ticketnotes
INNER JOIN tickets ON tickets.id = ticketnotes.ticketid
WHERE tickets.status = 'Closed'
AND tickets.did = 7
AND MONTH(tbltickets.date) = MONTH( CURRENT_DATE - INTERVAL 1 MONTH )
AND YEAR(tbltickets.date) = YEAR( CURRENT_DATE - INTERVAL 1 MONTH )
GROUP BY DATE(tickets.date)
This answers the original version of the question.
What you are describing sounds like a group by with left join. However, it is not clear what exactly you are looking for. My best guess is:
select date(t.date), count(t.id) as num_tickets,
count(tn.ticketid) as num_with_message
from tickets t left join
ticketnotes tn
on tn.ticketid = t.id and
tn.message like '%https://xxxxx.net/help/tickets/%'
where t.status = 'Closed' and
t.did = 7
group by date(t.date)
Related
I'm facing an issue with the following query. It gave me this error [SELECT list expression references column integration_start_date which is neither grouped nor aggregated at [34:63]]. In particular, it points to the first 'when' in the result table, which I don't know how to fix. This is on BigQuery if that helps. I see everything is written correctly or I could be wrong. Seeking for help.
with plan_data as (
select format_date("%Y-%m-%d",last_day(date(a.basis_date))) as invoice_date,
a.sponsor_id as sponsor_id,
b.company_name as sponsor_name,
REPLACE(SUBSTR(d.meta,STRPOS(d.meta,'merchant_id')+12,13),'"','') as merchant_id,
a.state as plan_state,
date(c.start_date) as plan_start_date,
a.employee_id as square_employee_id,
date(
(select min(date)
from glproductionview.stats_sponsors
where sponsor_id = a.sponsor_id and sponsor_payroll_provider_identifier = 'square' and date >= c.start_date) )
as integration_start_date,
count(distinct a.employee_id) as eligible_pts_count, --pts that are in active plan and have payroll activities (payroll deductions) in the reporting month
from glproductionview.payroll_activities as a
left join glproductionview.sponsors as b
on a.sponsor_id = b.id
left join glproductionview.dc_plans as c
on a.plan_id = c.id
left join glproductionview.payroll_connections as d
on a.sponsor_id = d.sponsor_id and d.provider_identifier = 'rocket' and a.company_id = d.payroll_id
where a.payroll_provider_identifier = 'rocket'
and format_date("%Y-%m",date(a.basis_date)) = '2021-07'
and a.amount_cents > 0
group by 1,2,3,4,5,6,7,8
order by 2 asc
)
select invoice_date,
sponsor_id,
sponsor_name,
eligible_pts_count,
case
when eligible_pts_count <= 5 and date_diff(current_date(),integration_start_date, month) <= 12 then 20
when eligible_pts_count <= 5 and date_diff(current_date(),integration_start_date, month) > 12 then 15
when eligible_pts_count > 5 and date_diff(current_date(),integration_start_date, month) <= 12 then count(distinct square_employee_id)*4
when eligible_pts_count > 5 and date_diff(current_date(),integration_start_date, month) > 12 then count(distinct square_employee_id)*3
else 0
end as fees
from plan_data
group by 1,2,3,4;
I have two tables – activity and purchase
Activity table:
user_id date videos_watched
1 2020-01-02 3
1 2020-01-04 5
1 2020-01-07 5
Purchase table:
user_id purchase_date
1 2020-01-01
2 2020-02-02
What I would like to do is to get a 30 day rolling average since purchase on how many videos has been watched.
The base query is like this:
SELECT
DATEDIFF(DAY, p.purchase_date, a.date) AS day_since_purchase,
AVG(A.VIDEOS_VIEWED)
FROM PURCHASE P
LEFT OUTER JOIN ACTIVITY A ON P.USER_ID = A.USER_ID AND
A.DATE >= P.PURCHASE_DATE AND A.DATE <= DATEADD(DAY, 30, P.PURCHASE_DATE)
GROUP BY 1;
However, the Activity table only has records for each day a video has been logged. I would like to fill in the blanks for days a video has not been viewed.
I have started to look into using a CTE like this:
WITH cte AS (
SELECT date('2020-01-01') as fdate
UNION ALL
SELECT CAST(DATEADD(day,1,fdate) as date)
FROM cte
WHERE fdate < date('2020-04-01')
) select * from cte
cross join purchases p
left outer join activity a
on p.user id = a.user_id
and a.fdate = p.purchase_date
and a.date >= p.purchase_date and a.date <= dateadd(day, 30, p.purchase_date)
The end goal is to have something like this:
days_since_purchase videos_watched
1 3
2 0 --CTE coalesce inserted value
3 0
4 5
Been trying for the last couple of hours to get it right, but still can't really get the hang of it.
If you want to fill in the gaps in the result set, then I think you should be generating integers rather than dates:
WITH cte AS (
SELECT 1 as day_since_purchase
UNION ALL
SELECT 1 + day_since_purchase
FROM cte
WHERE day_since_purchase < 4
)
SELECT cte.day_since_purchase, COALESCE(avg_videos_viewed, 0)
FROM cte LEFT JOIN
(SELECT DATEDIFF(DAY, p.purchase_date, a.date) AS day_since_purchase,
AVG(A.VIDEOS_VIEWED) as avg_videos_viewed
FROM purchases p JOIN
activity a
ON p.user id = a.user_id AND
a.fdate = p.purchase_date AND
a.date >= p.purchase_date AND
a.date <= dateadd(day, 30, p.purchase_date)
GROUP BY 1
) pa
ON pa.day_since_purchase = cte.day_since_purchase;
You can use a recursive query to generate the 30 days following each purchase, then bring the activity table:
with cte as (
select
purchase_date,
client_id,
0 days_since_purchase,
purchase_date dt
from purchases
union all
select
purchase_date,
client_id,
days_since_purchase + 1
dateadd(day, days_since_purchase + 1, purchase_date)
from cte
where days_since_purchase < 30
)
select
c.days_since_purchase,
avg(colaesce(a. videos_watch, 0)) avg_ videos_watch
from cte c
left join activity a
on a.client_id = c.client_id
and a.fdate = c.purchase_date
and a.date = c.dt
group by c.days_since_purchase
Your question is unclear on whether you have a column in the activity table that stores the purchase date each row relates to. Your query has column fdate but not your sample data. I used that column in the query (without such column, you might end up counting the same activity in different purchases).
I am kind of stuck in one of the SQL queries where I would require little help.
Table structure is as follow:
Table #1: PROD_ORDER:
ID_PROD_ORDER(PK)
1001
1002
1003
Table #2: JOB
ID_JOB | ID_PROD_ORDER(FK)|ID_ASSET | DT_START | DT_END
1 1001 8 2016/11/22 05:45:50 2016/11/24 13:13:14
2 1001 8 some date some date
3 1002 9 some date some date
4 1002 9 some date some date
5 1003 8 some date some date
6 1001 8 some date some date
Table #3: Confirmation
ID_CONFIRMATION | ID_JOB | QT_CONF | QT_SCRAP
Table #4: DOWNTIME
ID_DOWNTIME | DT_START | DT_END | ID_ORG_SUB_ASSET
Now the requirement is to find order and
Start date of the order (which will be Min of DT_START from JOB)
End date of the order (which will be Max of DT_END from JOB)
Sum of all of its jobs' QT_CONF
Sum of all of its jobs' QT_SCRAP
Downtime from DOWNTIME table where downtime = Difference in seconds of DT_START - DT_END
ID_ASSET, Start Date and End Date will be passed in as parameters.
I have written this query:
SELECT
PO.ID_PROD_ORDER,
J.ID_ORG_ASSET,
SUM(C.QT_CONF) AS "QT_CONF",
SUM(C.QT_SCRAP) AS "QT_SCRAP",
MIN(J.DT_JOB_ST) AS "START_DATE",
MAX(J.DT_JOB_ED) AS "END_DATE",
(SELECT SUM(datediff(ss, D.DT_START, D.DT_END)) AS "DOWNTIMESECONDS"
FROM DOWNTIME D
INNER JOIN SUB_ASSET SA ON D.ID_SUB_ASSET = SA.ID_SUB_ASSET
WHERE SA.ID_ASSET = [Param.3] AND D.DT_START >= J.DT_JOB_ST
AND D.DT_END <= J.DT_JOB_ED)
FROM
PROD_ORDER PO
INNER JOIN
JOB J ON PO.ID_PROD_ORDER = J.ID_PROD_ORDER
AND J.DT_JOB_ST >= '[Param.1]'
AND J.DT_JOB_ED <= '[Param.2]'
LEFT OUTER JOIN
CONFIRMATION C ON C.ID_JOB = J.ID_JOB
WHERE
J.ID_ASSET = [Param.3]
GROUP BY
PO.ID_PROD_ORDER, J.ID_ASSET
The query throws an error:
JOB.DT_JOB_ST cannot be included in select list as it is not used in aggregation or GROUP BY
If I put JOB.DT_JOB_ST and JOB.DT_JOB_ED in GROUP BY, then it returns more than 1 row for each order but I need only one row per order.
How can I correct it? I'm just confused !!
Thanks !
I suspect the issue here is the correlated query, which will try to evaluate for each row - as this includes the DT_JOB_ST and DT_JOB_ED it would need these to be part of the group.
The other option would be to rewrite to not need the correlated query, so something like this should be good for you:
SELECT PO.ID_PROD_ORDER,
J.ID_ORG_ASSET,
SUM(C.QT_CONF) AS [QT_CONF],
SUM(C.QT_SCRAP) AS [QT_SCRAP],
MIN(J.DT_JOB_ST) AS [START_DATE],
MAX(J.DT_JOB_ED) AS [END_DATE],
SUM(ISNULL(datediff(ss, D.DT_START, D.DT_END),0)) AS [DOWNTIMESECONDS]
FROM PROD_ORDER PO
INNER JOIN JOB J
ON PO.ID_PROD_ORDER = J.ID_PROD_ORDER
AND J.DT_JOB_ST >= '[Param.1]'
AND J.DT_JOB_ED <= '[Param.2]'
LEFT JOIN CONFIRMATION C
ON C.ID_JOB = J.ID_JOB
LEFT JOIN DOWNTIME D
INNER JOIN SUB_ASSET SA
ON D.ID_SUB_ASSET = SA.ID_SUB_ASSET
AND SA.ID_ASSET = [Param.3]
ON D.DT_START >= J.DT_JOB_ST
AND D.DT_END <= J.DT_JOB_ED
WHERE J.ID_ASSET = [Param.3]
GROUP BY PO.ID_PROD_ORDER, J.ID_ORG_ASSET
(if you prefer, a CTE could work, too)
Following query worked :
SELECT
PO.ID_PROD_ORDER,
J.ID_ASSET,
SUM(C.QT_CONF) AS "QT_CONF",
SUM(C.QT_SCRAP) AS "QT_SCRAP",
MIN(J.DT_JOB_ST) AS "START_DATE",
MAX(J.DT_JOB_ED) AS "END_DATE",
(SELECT SUM(datediff(ss, D.DT_START, D.DT_END)) AS "DOWNTIMESECONDS"
FROM DOWNTIME D
INNER JOIN SUB_ASSET SA ON D.ID_SUB_ASSET = SA.ID_SUB_ASSET
WHERE SA.ID_ASSET = [Param.3] AND D.DT_START >= MIN(J.DT_JOB_ST)
AND D.DT_END <= MAX(J.DT_JOB_ED))
FROM
PROD_ORDER PO
INNER JOIN
JOB J ON PO.ID_PROD_ORDER = J.ID_PROD_ORDER
AND J.DT_JOB_ST >= '[Param.1]'
AND J.DT_JOB_ED <= '[Param.2]'
LEFT OUTER JOIN
CONFIRMATION C ON C.ID_JOB = J.ID_JOB
WHERE
J.ID_ASSET = [Param.3]
GROUP BY
PO.ID_PROD_ORDER, J.ID_ASSET
I'm trying to put some data together for a High Charts Bar chart using ASP.NET. Basically, i have three users who i need to track when they have logged into the system. the variants to be used are:
1) Today
2) This Week
3) Last Week
4) Last Month
So, i've created individual tsql scripts for today and and last week, but i'm now a little stuck on how to combine the two statemets, which will eventually be four.
SELECT Count(*) as CountToday from hitsTable WHERE Convert(date,hitDate) =
Convert(date,GETDATE()) Group by UserId
SELECT count(*) as CountLatWeek from hitTable
where hitDate between (DATEADD(week, DATEDIFF (week,0,GETDATE()),-1))
AND getDate() Group by UserId
Searhing on google, leads me to nested select statements, which all seem to form dependacies with the two statements. However, what i need to do is produce a table of results like this:
EDIT
I've set up a SQL Fiddle, so we can test out the examples
http://www.sqlfiddle.com/#!6/a21ec
the fiddle has tsql for today and tsql for last week (which may need some tweaking)
Select Distinct
UserId
, ( Select Count(*) as CountToday from hitsTable h2
Where h2.UserId = h1.UserId
And Convert(date,hitDate) = Convert(date,GETDATE())
) As CountToday
, ( Select count(*) as CountLatWeek from hitsTable h2
Where h2.UserId = h1.UserId
And hitDate Between DATEADD(dd, -(DATEPART(dw, GetDate())-1)-7, GetDate())
And DATEADD(dd, 7-(DATEPART(dw, GetDate()))-7, GetDate())
) As CountLastWeek
FROM hitsTable h1
Here’s another alternative based on #Avinash comment on the question.
Select
UserId
, CountTodayTable.CountToday
, CountLatWeekTable.CountLatWeek
, ...
FROM hitsTable h1
Inner Join
( Select Count(*) as CountToday from hitsTable h2
Where h2.UserId = h1.UserId
And Convert(date,hitDate) = Convert(date,GETDATE())
) CountTodayTable
On CountTodayTable.UserId = h1.UserId
Inner Join
( Select count(*) as CountLatWeek from hitTable h2
Where h2.UserId = h1.UserId
And hitDate between (DATEADD(week, DATEDIFF (week,0,GETDATE()),-1)) And getDate()
) CountLatWeekTable
On CountLatWeekTable.UserId = h1.UserId
...
Try this query
select
id,
sum(case when Convert(date,hitDate) = Convert(date,GETDATE()) then 1 else 0 end) as as CountToday,
sum(hitDate between (DATEADD(week, DATEDIFF (week,0,GETDATE()),-1)) AND getDate() then 1 else 0 end) as CountLatWeek,
...... -- Add more condition
from
hitsTable
group by
UserId
Edit
select
userid,
sum(case when Convert(date,hitDate) =
Convert(date,GETDATE()) then 1 else 0 end) as cnt
from
hitstable
group by userid
FIDDLE
| USERID | CNT |
|--------|-----|
| User1 | 3 |
| User2 | 0 |
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