I am a novice with SQL and need some help!
I have two fields, MoveInDate and MoveOutDate, both of which are date fields. I want to generate a result that counts the number of move-ins and move-outs per week. The output should look something like this:
Week Start Week End Move-In-Count Move-Out-Count
1/20/2014 1/26/2014 0 4
1/27/2014 2/2/2014 1 0
I am working on SQL Server 2008.
Something Like this should work.
Select COUNT(Primary_Key) As MoveInCount
FROM [dbo].[tableName]
where MoveInDate between WeekStartDate and WeekEndDate
I would suggest using a Date Dimension since you are looking to group by week.
You can get a ready made date dimension here along with script to load into your database:
http://www.kimballgroup.com/wp-content/uploads/2012/06/Ch10-DateDim.xls
Once you have loaded your dimension you can group by Week and count by the number of move in, move out dates.
Related
I have the following table in SQL:
Start - End - Amount **per day**
06.07.2020 10.07.2020 10
08.07.2020 08.07.2020 5
08.07.2020 15.07.2020 20
02.07.2020 06.07.2020 3
Now I want to filter this table by the calendar week. Let's say "where [calendar week] = cw28". cw28 is from the 06th of july to the 12th of july.
With that I'd like to have the sum of the amount of the days that lie between those two dates. One single number.
I'm using MS SQL Server (SQL Express).
I can't figure out how to distinguish (and break down) if one day lays between the two date values or not. And if yes how much I need to sum up.
I tried to make a picture in excel to create a logic from this:
"Logic" in Excel
Can anyone help me with this? :)
Thx and Best!,
Max
Not sure about your exact requirement. But below is the query to get the sum of values between two dates.
select sum(amount_of_days) from table where date_column between '06-JUL-2020' and '07-JUL-2010';
Change the column name and table name according to your requirement
Currently I am retrieving a list of Purchase Orders Lines (POL) and each has a Due Date. For each line where the POL.Due Date is a future date i.e. >= Current Date, I need to determine the Period Name and Financial Week the POL.Due Date falls into.
The SQL Database has a table for the Financial Period and one for the Financial Week. Each table is driven by a date.
PERIODPER
PERIOD_DATE
PERIOD
PERIOD_NAME
PERIOD_YEAR
PERIOD_WEEK
START_DATE
WEEK
YEAR
Against each report line along with the Due Date I am trying to link to each of the above tables to determine the PERIOD_NAME and WEEK for the POL.Due Date.
Where the POL.Due Date has elapsed i.e. < Current Date, I need to retrieve the PERIOD_NAME and WEEK for the Current Date.
I would like to try and do this in an SQL select as my only other option is to write a VBA report which initially retrieves all the Purchase Order Lines and then serially reads through each and links to the other tables to determine the Financial Period Name and Week Number.
I am looking for an end result something on the lines of:
PO_NUMBER PO_LINE DUE_DATE WEEK_NO PERIOD_NAME
I would appreciate any assistance on this as my SQL knowledge does not extend to what to me appears to be a complex selection.
Do you mean something like this (SQL Server syntax)?
select pol.po_number,
pol.po_line,
pol.due_date,
pw.week as week_no,
pp.period_name
from purchaseOrderLines pol
left join period_week pw on pol.DueDate > GetDate()
and pw.start_date <= pol.due_date
and dateAdd(d, 7, pw.start_date) >= pol.due_date
left join periodPer pp on pol.DueDate > GetDate()
and pp.period_date = pol.DueDate
Thanks for your response.
I tried your logic which gave me what I was looking for but upon further investigation I located another table which detailed every date up to 2025, including the week and month. I'm simply now creating a JOIN to this new table using my Due Date value.
I would just like to thank you for your time and effort in answering my query. Although I am not using your suggestion for the stated example, I am however looking at what you've presented, and it certainly gives me a few ideas for some other SELECT statements I'm currently working on.
Long title, easy meaning:
How is it possible to extract from a date like "2014-04-04 10:47:30.000", which is stored in one column, it's components like year, month and day?
I'm not interested in the time.
For example, I have a table called "Incidents". Inside the table we got a column called "IncidentID" and a column called "ReportingDate", in which dates like the above-mentionend are stored. Let's say we have about 50k Incidents, therefore we have also 50k dates.
A year has 365 days. I want to query for the count of the Incidents, which were reported on different dates - for instance on the 5th of October 2013.
So: How can I get the components of the date and put them into another table while having own columns for the components and how can I query for the Incidents as well?
I guess at first I have to change the datatype of the date from DATETIME to DATE, but I'm not quite sure how to go further. May anyone help me while giving me a code and explains me what it does for a sql-noob? :-)
To achieve this
I want to query for the count of the Incidents, which were reported on
different dates - for instance on the 5th of October 2013.
you haven't do this:
I guess at first I have to change the datatype of the date from
DATETIME to DATE, but I'm not quite sure how to go further.
Just query
SELECT
IncidentID
FROM incidents
WHERE ReportingDate >= '20131005'
AND ReportingDate < '20131006'
Hello I have a simple dataset in SQL that counts meter readings... There are meter readings every day and I would like to SUM the count, display that in a column chart at a daily interval. What I would also like to do is display a cumulative count as a line so 4 orders Monday, 3 orders Tuesday, 5 orders Wednesday 4+3+5 etc. Apparently there is a running total property I read somewhere in SSRS? Does anyone know how to do this? I'm stumped! I currently have a SUM of count as my total value with category group of date read but it does not seem to be displaying properly. Instead of saying 5 orders on tuesday, it is just showing 1,1,1,1,1 etc...
SELECT COUNT(readingId), dateRead
FROM Readings
WHERE (dateRead BETWEEN #StarDate AND #EndDate) AND (webcontactid IS NOT NULL) AND (meter = 1)
GROUP BY Readings.dateRead
I created a bar chart, put dt as Category group, added a fake Series group called g1 (Group by "A"), and used two data fields, one with the expression
=Sum(Fields!NReadings.Value)
and one with the expression
=RunningValue(Fields!NReadings.Value, Sum, "g1")
and set this to appear as a line.
I got this on SSRS 2005, but I hope it helps for 2008. If anyone has a way to do this without creating a fake Series, then please let me know.
I have an SQLite database with the following fields for example:
date (yyyymmdd fomrat)
total (0.00 format)
There is typically 2 months of records in the database. Does anyone know a SQL query to find a weekly average?
I could easily just execute:
SELECT COUNT(1) as total_records, SUM(total) as total FROM stats_adsense
Then just divide total by 7 but unless there is exactly x days that are divisible by 7 in the db I don't think it will be very accurate, especially if there is less than 7 days of records.
To get a daily summary it's obviously just total / total_records.
Can anyone help me out with this?
You could try something like this:
SELECT strftime('%W', thedate) theweek, avg(total) theaverage
FROM table GROUP BY strftime('%W', thedate)
I'm not sure how the syntax would work in SQLite, but one way would be to parse out the date parts of each [date] field, and then specifying which WEEK and DAY boundaries in your WHERE clause and then GROUP by the week. This will give you a true average regardless of whether there are rows or not.
Something like this (using T-SQL):
SELECT DATEPART(w, theDate), Avg(theAmount) as Average
FROM Table
GROUP BY DATEPART(w, theDate)
This will return a row for every week. You could filter it in your WHERE clause to restrict it to a given date range.
Hope this helps.
Your weekly average is
daily * 7
Obviously this doesn't take in to account specific weeks, but you can get that by narrowing the result set in a date range.
You'll have to omit those records in the addition which don't belong to a full week. So, prior to summing up, you'll have to find the min and max of the dates, manipulate them such that they form "whole" weeks, and then run your original query with a WHERE that limits the date values according to the new range. Maybe you can even put all this into one query. I'll leave that up to you. ;-)
Those values which are "truncated" are not used then, obviously. If there's not enough values for a week at all, there's no result at all. But there's no solution to that, apparently.