Currently I can get data that is from each report and filtered by case type and again on case open and for each casereport that I want.
However as a case can be open over several months I want Only want the first month it appears. for instance a case could be open in each report 201904, 201905 and then reopened in 201911, alot of info on that case changes so its not an exact duplicate, however I am only after the data for the case in the 201904 report.
Currently I am using the following code
Select ReportDate, CaseNo, Est, CaseType
From output.casedata
Where casetype='family' and Status='Open' AND (
Reportdate='201903' OR Reportdate='201904' OR Reportdate='201905'
or Reportdate='201906' or Reportdate='201907' or Reportdate='201908'
or Reportdate='201909' or Reportdate='201910' or Reportdate='201911'
or Reportdate='201912' or Reportdate='202001' or Reportdate='202002'
)
You can use the rank window function to find the row with the first date per case number, and then take all the details from it:
SELECT *
FROM (SELECT *, RANK() OVER (PARTITION BY CaseNo ORDER BY Reportdate) AS rk
FROM output.casedata
WHERE casetype = 'family' AND status='Open') t
WHERE rk = 1
If I followed your correctly, you want the earliest open record per case.
The following should to what you expect:
select c.*
from output.casedata c
where c.reportdate = (
select min(c1.reportdate)
where
c1.caseno = c.caseno
and c1.casetype = 'family'
and c1.status = 'open'
and c1.reportdate between '201903' and '202002'
)
For performance, you want an index on (caseno, casttype, status, reportdate).
Note that I simplifie the filter on reportdate to use between instead of enumerating all possible values.
Related
I have a table with the follow structure
ID ReportDate Object_id
What I need to know, is the count of new and count of old (Object id's)
For example: If I have the data below:
I want the following output grouped by ReportDate:
I thought a way doing it using a Where clause based on date, however i need the data for all the dates I have in the table. To see the count of what already existed in the previous report and what is new at that report. Any Ideas?
Edit: New/Old definition- New would be the records that never appeared before that report run date and appeared on this one, whereas old is the number of records that had at least one match in previous dates. I'll edit the post to include this info.
managed to do it using a left join. Below is my solution in case it helps anyone in the future :)
SELECT table.ReportRunDate,
-1*sum(table.ReportRunDate = new_table.init_date) as count_new,
-1*sum(table.ReportRunDate <> new_table.init_date) as count_old,
count(*) as count_total
FROM table LEFT JOIN
((SELECT Object_ID, min(ReportRunDate) as init_date
FROM table
GROUP By OBJECT_ID) as new_table)
ON table.Object_ID = new_table.Object_ID
GROUP BY ReportRunDate
This would work in Oracle, not sure about ms-access:
SELECT ReportDate
,COUNT(CASE WHEN rnk = 1 THEN 1 ELSE NULL END) count_of_new
,COUNT(CASE WHEN rnk <> 1 THEN 1 ELSE NULL END)count_of_old
FROM (SELECT ID
,ReportDate
,Object_id
,RANK() OVER (PARTITION BY Object_id ORDER BY ReportDate) rnk
FROM table_name)
GROUP BY ReportDate
Inner query should rank each occurence of object_id based on the ReportDate so the 1st occurrence of certain object_id will have rank = 1, the next one rank = 2 etc.
Then the outer query counts how many records with rank equal/not equal 1 are the within each group.
I assumed that 1 object_id can appear only once within each reportDate.
When i run this query
SELECT
DT.CONTRACT_NUMBER,
DT.ROLE,
DT.TAX_ID,
DT.EFFECTIVE_DATE
FROM DATA_TABLE DT
I get this result.
Id like to remove results where the TAX ID appears more than once for each contract.
i.e This result would be gone. If they had 3 results they would be gone.
I think window functions might be the way to go:
SELECT DT.CONTRACT_NUMBER, DT.ROLE, DT.TAX_ID, DT.EFFECTIVE_DATE
FROM (SELECT DT.CONTRACT_NUMBER, DT.ROLE, DT.TAX_ID, DT.EFFECTIVE_DATE,
COUNT(*) OVER (PARTITION BY TAX_ID) as cnt
FROM DATA_TABLE DT
WHERE DT.CONTRACT_NUMBER = '551000280'
) DT
WHERE CNT = 1;
If you actually want to keep one row per tax id, then use row_number() instead of count(*).
I have a basic query which shows what the latest product to be put in each location (FVTank) is:
SELECT TOP 1
T0.[DateTime],
T0.[TankName],
T1.[Item]
FROM
t005_pci_data T0
INNER JOIN t001_fvbatch T1 ON T1.[FVBatch] = T0.[FVBatch]
WHERE
T0.[TankName] = 'FV101'
UNION
SELECT TOP 1
T0.[DateTime],
T0.[TankName],
T1.[Item]
FROM
t005_pci_data T0
INNER JOIN t001_fvbatch T1 ON T1.[FVBatch] = T0.[FVBatch]
WHERE
T0.[TankName] = 'FV102'
[...etc...]
ORDER BY
T0.[DateTime] DESC
Which gives a result like this:
What I'd like to do is create a summary page on SSRS which would display all the locations which currently hold each item. Ideally it would look something like this:
There are 50 locations and 7 main items so I need it to have 8 headers (one additional one for "other".)
Is there a way to do this in SSRS? Or is there a better solution by doing it in SQL?
Thank you.
Add an additional column to your dataset that calculates a row number for each Item, ordered by the DateTime field:
row_number() over (partition by Item order by DateTime desc) as rn
Judging by your source query in your question, this may be best included as a wrapping select around your final query:
select DateTime
,TankName
,Item
,row_number() over (partition by Item order by DateTime desc) as rn
from(
<Your original query here>
) a
You can then use this as your row group, as without one you will not get the top aligned format you are after in each Item x column. Remember to delete the rn column but keep the grouping:
When you run this report you will get the following format (I didn't bother typing out all your data into my dataset query, hence the missing values):
I am trying to return a set of results and decided to try my luck with CTE, the first table "Vendor", has a list of references, the second table "TVView", has ticket numbers that were created using a reference from the "Vendor" table. There may be one or more tickets using the same ticket number depending on the state of that ticket and I am wanting to return the last entry for each ticket found in "TVView" that matches a selected reference from "Vendor". Also, the "TVView" table has a seed field that is incremented.
I got this to return the right amount of entries (meaning not showing the duplicate tickets but only once) but I cannot figure out how to add an additional layer to go back through and select the last entry for that ticket and return some other fields. I can figure out how to sum which is actually easy, but I really need the Top 1 of each ticket entry in "TVView" regardless if its a duplicate or not while returning all references from "Vendor". Would be nice if SQL supported "Last"
How do you do that?
Here is what I have done so far:
with cteTickets as (
Select s.Mth2, c.Ticket, c.PyRt from Vendor s
Inner join
TVView c on c.Mth1 = s.Mth1 and c.Vendor = s.Vendor
)
Select Mth2, Ticket, PayRt from cteTickets
Where cteTickets.Vendor >='20'
and cteTickets.Vendor <='40'
and cteTickets.Mth2 ='8/15/2014'
Group by cteTickets.Ticket
order by cteTickets.Ticket
Several rdbms's that support Common Table Expressions (CTE) that I am aware of also support analytic functions, including the very useful ROW_NUMBER(), so the following should work in Oracle, TSQL (MSSQL/Sybase), DB2, PostgreSQL.
In the suggestions the intention is to return just the most recent entry for each ticket found in TVView. This is done by using ROW_NUMBER() which is PARTITIONED BY Ticket that instructs row_number to recommence numbering for each change of the Ticket value. The subsequent ORDER BY Mth1 DESC is used to determine which record within each partition is assigned 1, here it will be the most recent date.
The output of row_number() needs to be referenced by a column alias, so using it in a CTE or derived table permits selection of just the most recent records by RN = 1 which you will see used in both options below:
-- using a CTE
WITH
TVLatest
AS (
SELECT
* -- specify the fields
, ROW_NUMBER() OVER (PARTITION BY Ticket
ORDER BY Mth1 DESC) AS RN
FROM TVView
)
SELECT
Mth2
, Ticket
, PayRt
FROM Vendor v
INNER JOIN TVLatest l ON v.Mth1 = l.Mth1
AND v.Vendor = l.Vendor
AND l.RN = 1
WHERE v.Vendor >= '20'
AND v <= '40'
AND v.Mth2 = '2014-08-15'
ORDER BY
v.Ticket
;
-- using a derived table instead
SELECT
Mth2
, Ticket
, PayRt
FROM Vendor v
INNER JOIN (
SELECT
* -- specify the fields
, ROW_NUMBER() OVER (PARTITION BY Ticket
ORDER BY Mth1 DESC) AS RN
FROM TVView
) TVLatest l ON v.Mth1 = l.Mth1
AND v.Vendor = l.Vendor
AND l.RN = 1
WHERE v.Vendor >= '20'
AND v <= '40'
AND v.Mth2 = '2014-08-15'
ORDER BY
v.Ticket
;
please note: "SELECT *" is a convenience or used as an abbreviation if full details are unknown. The queries above may not operate without correctly specifying the field list (eg. 'as is' they would fail in Oracle).
I have those two tables
1-Add to queue table
TransID , ADD date
10 , 10/10/2012
11 , 14/10/2012
11 , 18/11/2012
11 , 25/12/2012
12 , 1/1/2013
2-Removed from queue table
TransID , Removed Date
10 , 15/1/2013
11 , 12/12/2012
11 , 13/1/2013
11 , 20/1/2013
The TansID is the key between the two tables , and I can't modify those tables, what I want is to query the amount of time each transaction spent in the queue
It's easy when there is one item in each table , but when the item get queued more than once how do I calculate that?
Assuming the order TransIDs are entered into the Add table is the same order they are removed, you can use the following:
WITH OrderedAdds AS
( SELECT TransID,
AddDate,
[RowNumber] = ROW_NUMBER() OVER(PARTITION BY TransID ORDER BY AddDate)
FROM AddTable
), OrderedRemoves AS
( SELECT TransID,
RemovedDate,
[RowNumber] = ROW_NUMBER() OVER(PARTITION BY TransID ORDER BY RemovedDate)
FROM RemoveTable
)
SELECT OrderedAdds.TransID,
OrderedAdds.AddDate,
OrderedRemoves.RemovedDate,
[DaysInQueue] = DATEDIFF(DAY, OrderedAdds.AddDate, ISNULL(OrderedRemoves.RemovedDate, CURRENT_TIMESTAMP))
FROM OrderedAdds
LEFT JOIN OrderedRemoves
ON OrderedAdds.TransID = OrderedRemoves.TransID
AND OrderedAdds.RowNumber = OrderedRemoves.RowNumber;
The key part is that each record gets a rownumber based on the transaction id and the date it was entered, you can then join on both rownumber and transID to stop any cross joining.
Example on SQL Fiddle
DISCLAIMER: There is probably problem with this, but i hope to send you in one possible direction. Make sure to expect problems.
You can try in the following direction (which might work in some way depending on your system, version, etc) :
SELECT transId, (sum(add_date_sum) - sum(remove_date_sum)) / (1000*60*60*24)
FROM
(
SELECT transId, (SUM(UNIX_TIMESTAMP(add_date)) as add_date_sum, 0 as remove_date_sum
FROM add_to_queue
GROUP BY transId
UNION ALL
SELECT transId, 0 as add_date_sum, (SUM(UNIX_TIMESTAMP(remove_date)) as remove_date_sum
FROM remove_from_queue
GROUP BY transId
)
GROUP BY transId;
A bit of explanation: as far as I know, you cannot sum dates, but you can convert them to some sort of timestamps. Check if UNIX_TIMESTAMPS works for you, or figure out something else. Then you can sum in each table, create union by conveniently leaving the other one as zeto and then subtracting the union query.
As for that devision in the end of first SELECT, UNIT_TIMESTAMP throws out miliseconds, you devide to get days - or whatever it is that you want.
This all said - I would probably solve this using a stored procedure or some client script. SQL is not a weapon for every battle. Making two separate queries can be much simpler.
Answer 2: after your comments. (As a side note, some of your dates 15/1/2013,13/1/2013 do not represent proper date formats )
select transId, sum(numberOfDays) totalQueueTime
from (
select a.transId,
datediff(day,a.addDate,isnull(r.removeDate,a.addDate)) numberOfDays
from AddTable a left join RemoveTable r on a.transId = r.transId
order by a.transId, a.addDate, r.removeDate
) X
group by transId
Answer 1: before your comments
Assuming that there won't be a new record added unless it is being removed. Also note following query will bring numberOfDays as zero for unremoved records;
select a.transId, a.addDate, r.removeDate,
datediff(day,a.addDate,isnull(r.removeDate,a.addDate)) numberOfDays
from AddTable a left join RemoveTable r on a.transId = r.transId
order by a.transId, a.addDate, r.removeDate