I am trying to calculate a weekly average, and add it as a new column along side what I already have. I have added week starting dates and week ending dates as I thought that would be useful (and how I found do it in a more familiar MS Excel environment).
SELECT
settlementdate as Trading_Interval,
rrp as Trading_Interval_QLD_RRP,
NEXT_DAY(TRUNC(settlementdate-7),'MONDAY')AS Week_Starting,
NEXT_DAY(TRUNC(settlementdate),'SUNDAY')AS Week_Ending
FROM fullauth.tradingprice
WHERE settlementdate > to_date('31/12/2019','dd/mm/yyyy')
AND settlementdate <= to_date('01/01/2020','dd/mm/yyyy')
AND regionid = 'QLD1'
ORDER BY settlementdate DESC;
This code returns a table with 4 columns. I want to find the average price of the Trading_Interval_QLD_RRP when the Trading_Interval falls between the Week_Starting and Week_Ending dates and insert/create this weekly price as a new column
Thanks!
You can use AVG as an analytical function as following:
SELECT
settlementdate as Trading_Interval,
rrp as Trading_Interval_QLD_RRP,
NEXT_DAY(TRUNC(settlementdate-7),'MONDAY')AS Week_Starting,
NEXT_DAY(TRUNC(settlementdate),'SUNDAY')AS Week_Ending,
-- required changes as following
AVG(Trading_Interval_QLD_RRP) OVER (PARTITION BY TRUNC(settlementdate,'IW')) AS AVG_RRP
FROM fullauth.tradingprice
WHERE settlementdate > to_date('31/12/2019','dd/mm/yyyy')
AND settlementdate <= to_date('01/01/2020','dd/mm/yyyy')
AND regionid = 'QLD1'
ORDER BY settlementdate DESC;
Also, Note that TRUNC(settlementdate,'IW') and NEXT_DAY(TRUNC(settlementdate-7),'MONDAY') are same.
Cheers!!
Related
I have a table with the TotalPrice column and BookedOn column which contains a date in which a particular order was placed. I want to generate a report in SSRS that will show the date on which the highest sales were made.
There are several orders made on a particular date and I want to sum all the price and then compare in which date highest sales were made.
select top 1 CONVERT(date, BookedOn) Date, sum(TotalPrice) SumTotalPrice
from your_table_name
group by BookedOn
order by SumTotalPrice desc
I used convert because didn't know the format of your date column(whether it is datetime or date), you can use just date column otherwise
In my SSRS report there are 4 parameters StartDate, EndDate, MeterId, & DisplayBy
Start Date: datetime datatype
EndDate : datetime datatype
MeterId : is a drop down list and this will populate based on SQL query
DisplayBy: is a drop down list and this has the following values (Hour,day,Month & year)
The Database that stores hourly values for Meters, the following are the DB table columns: (MeterId,ReadingDate,Hours,Quantity,Price)
When I select the startdate, end date and the meter Id and display i want to show report based on the startdate & enddate and then by display values.
If the display is hour, the we got display all the 24 hour values for the MeterId,Quantity, Price for the date range.
If the display is day, we got display total quantity and total price for the MeterId for that date range.
If the display is Month, we got display total quantity and total price for the MeterId for that date range.
If the display is Year, we got display total quantity and total price for the MeterId for that date range. Say for example If i select start date as 1-1-2016 and end date as 12-31-2016. My result should show 12 rows for each month with their total Quantity, Total price for that particular MeterID.
my DB table stores all the hourly values i know how to show the values on screen if the user selects the display dropdown as hour. But, dont know how to show the result for day/month/year or how to group it. Do I need to use "case" statement and if so what should i need to give on display parameters.
Please suggest your idea...
Row Grouping:
SELECT I.CustomerName, I.ReadingDate, I.IntegratedHour, I.IntegratedUsage, I.IntegratedGeneration, DATEPART(dd, I.ReadingDate) AS [Reading Day], DATEPART(mm,
I.ReadingDate) AS [Reading Month], DATEPART(yyyy, I.ReadingDate) AS [Reading Year]
FROM IntegratedHour_MV90 AS I INNER JOIN
CustRptMeterExtract AS CT ON CT.CustomerName = I.CustomerName
WHERE (I.ReadingDate >= #StartDate) AND (I.ReadingDate <= #EndDate) AND (I.CustomerName IN (#FacilityName))
Expected Result:
SSRS Current Output: Doesnot match
Depending on your layout you could set row grouping to an expression something like this
=SWITCH
(
Parameters!ReportBy.Value=1, Fields!Hour.Value,
Parameters!ReportBy.Value=2, Fields!Day.Value,
Parameters!ReportBy.Value=3, Fields!Month.Value,
Parameters!ReportBy.Value=4, Fields!Year.Value,
True, 0)
This assumes you have already have the hours/days/months/years in your dataset, if not then you would have to replace the field references with expressions to return the relevant month etc.
Based on what I can see above you'll need to add a grouping level for Customer before the group expression. Also, you Quantity expression should be a sum something like this
=SUM(FIelds!IntegratedGeneration.Value)
You may still have a problem though. I'm assuming Price is a unit price, so it does not make sense to sum that too. To get round this, you should calculate the LineValue (Qty * Price) in your dataset then change the price expression to be something like
=(SUM(FIelds!LineValue.Value)/SUM(Fields!IntegratedGeneration.Value))
and this will give you the average price.
However, this may be slow and personally I would do the work in your dataset. Again assuming you have the months, years in your table then you could do something like this.
--DECLARE #ReportBy int = 1 -- uncomment for testing
select
MeterID, Price
, CASE #ReportBy
WHEN 1 THEN [Month]
WHEN 2 THEN [Year]
ELSE NULL
END AS GroupByColumn
INTO #t
from dbo.MyDataTable
SELECT
GroupByColumn
, SUM(Price) as Price
FROM #t
Group BY GroupByColumn
Order by GroupByColumn
This assumes your report parameter is called ReportBy, if not just swap the name out.
I have a table of account numbers by date and 24 hourly intervals
ACCT# ; Date ; hour1, hour2, hour3......hour24
there could be as many as 365 days per account# I would like to find the average of all the intervals as well as the as max interval for each acct#. I tried to add sample data but since it is my first post I can't attach it (need+10 posts) –
"customer_number" "date" "est_hb_0000" "est_hb_0100" "est_hb_0200" "est_hb_0300" "est_hb_0400" "est_hb_0500" "est_hb_0600" "est_hb_0700" "est_hb_0800" "est_hb_0900" "est_hb_1000" "est_hb_1100" "est_hb_1200" "est_hb_1300" "est_hb_1400" "est_hb_1500" "est_hb_1600" "est_hb_1700" "est_hb_1800" "est_hb_1900" "est_hb_2000" "est_hb_2100" "est_hb_2200" "est_hb_2300"
Thanks in advance for your help
This SQL should get you close, after you have restructured and populated the table.
Select Customer, Date, HourOfDay, NumAccts
From ActivityStats
Where Customer = 'zzz'
and Date = 'Dt'
and RowNumber < 11
Order By NumAccts Desc
I am calling the data query in ssrs like this:
SELECT * FROM [DATABASE].[dbo].[mytable]
So, the current week is the last week from the query (e.g. 3/31 - 4/4) and each number represents the week before until we have reached the 12 weeks prior to this week and display in a point chart.
How can I accomplish grouping all the visits for all locations by weeks and adding it to the chart?
I suggest updating your SQL query to Group by a descending Dense_Rank of DatePart(Week,ARRIVED_DATE). In this example, I have one column for Visits because I couldn't tell which columns you were using to get your Visit count:
-- load some test data
if object_id('tempdb..#MyTable') is not null
drop table #MyTable
create table #MyTable(ARRIVED_DATE datetime,Visits int)
while (select count(*) from #MyTable) < 1000
begin
insert into #MyTable values
(dateadd(day,round(rand()*100,0),'2014-01-01'),round(rand()*1000,0))
end
-- Sum Visits by WeekNumber relative to today's WeekNumber
select
dense_rank() over(order by datepart(week,ARRIVED_DATE) desc) [Week],
sum(Visits) Visits
from #MyTable
where datepart(week,ARRIVED_DATE) >= datepart(week,getdate()) - 11
group by datepart(week,ARRIVED_DATE)
order by datepart(week,ARRIVED_DATE)
Let me know if I can provide any more detail to help you out.
You are going to want to do the grouping of the visits within SQL. You should be able to add a calculated column to your table which is something like WorkWeek and it should be calculated on the days difference from a certain day such as Sunday. This column will then by your X value rather than the date field you were using.
Here is a good article that goes into first day of week: First Day of Week
I have a table dbo.X with DateTime column Y which may have hundreds of records.
My Stored Procedure has parameter #CurrentDate, I want to find out the date in the column Y in above table dbo.X which is less than and closest to #CurrentDate.
How to find it?
The where clause will match all rows with date less than #CurrentDate and, since they are ordered descendantly, the TOP 1 will be the closest date to the current date.
SELECT TOP 1 *
FROM x
WHERE x.date < #CurrentDate
ORDER BY x.date DESC
Use DateDiff and order your result by how many days or seconds are between that date and what the Input was
Something like this
select top 1 rowId, dateCol, datediff(second, #CurrentDate, dateCol) as SecondsBetweenDates
from myTable
where dateCol < #currentDate
order by datediff(second, #CurrentDate, dateCol)
I have a better solution for this problem i think.
I will show a few images to support and explain the final solution.
Background
In my solution I have a table of FX Rates. These represent market rates for different currencies. However, our service provider has had a problem with the rate feed and as such some rates have zero values. I want to fill the missing data with rates for that same currency that as closest in time to the missing rate. Basically I want to get the RateId for the nearest non zero rate which I will then substitute. (This is not shown here in my example.)
1) So to start off lets identify the missing rates information:
Query showing my missing rates i.e. have a rate value of zero
2) Next lets identify rates that are not missing.
Query showing rates that are not missing
3) This query is where the magic happens. I have made an assumption here which can be removed but was added to improve the efficiency/performance of the query. The assumption on line 26 is that I expect to find a substitute transaction on the same day as that of the missing / zero transaction.
The magic happens is line 23: The Row_Number function adds an auto number starting at 1 for the shortest time difference between the missing and non missing transaction. The next closest transaction has a rownum of 2 etc.
Please note that in line 25 I must join the currencies so that I do not mismatch the currency types. That is I don't want to substitute a AUD currency with CHF values. I want the closest matching currencies.
Combining the two data sets with a row_number to identify nearest transaction
4) Finally, lets get data where the RowNum is 1
The final query
The query full query is as follows;
; with cte_zero_rates as
(
Select *
from fxrates
where (spot_exp = 0 or spot_exp = 0)
),
cte_non_zero_rates as
(
Select *
from fxrates
where (spot_exp > 0 and spot_exp > 0)
)
,cte_Nearest_Transaction as
(
select z.FXRatesID as Zero_FXRatesID
,z.importDate as Zero_importDate
,z.currency as Zero_Currency
,nz.currency as NonZero_Currency
,nz.FXRatesID as NonZero_FXRatesID
,nz.spot_imp
,nz.importDate as NonZero_importDate
,DATEDIFF(ss, z.importDate, nz.importDate) as TimeDifferece
,ROW_NUMBER() Over(partition by z.FXRatesID order by abs(DATEDIFF(ss, z.importDate, nz.importDate)) asc) as RowNum
from cte_zero_rates z
left join cte_non_zero_rates nz on nz.currency = z.currency
and cast(nz.importDate as date) = cast(z.importDate as date)
--order by z.currency desc, z.importDate desc
)
select n.Zero_FXRatesID
,n.Zero_Currency
,n.Zero_importDate
,n.NonZero_importDate
,DATEDIFF(s, n.NonZero_importDate,n.Zero_importDate) as Delay_In_Seconds
,n.NonZero_Currency
,n.NonZero_FXRatesID
from cte_Nearest_Transaction n
where n.RowNum = 1
and n.NonZero_FXRatesID is not null
order by n.Zero_Currency, n.NonZero_importDate