I have a table with Result Dates, Result Values and User IDs. I am looking for a way to find the people (number and specifics) that had result values greater than a number (20) that ALSO had a follow up result within 60 days of their initial result.
I have no problem getting the list of people with the result greater than 20, just don't know how to also find the people that were re-tested within 60 days and have a result.
I am very, very new to SQL, not sure what else is needed to help...thanks!!!
Related
I need to write a SQL query that helps return the highest count in a given hourly range. The problem is that in my table, it just logs orders as they come and doesn’t have a unique identifier that separates hours from hours.
So basically, I need to find the highest number of orders (on any given hour), from 7/08/2022, - 7/15/2022, have a table that does not distinguish distinct hour sets, and logs orders as they come.
I have tried to use a query that combines MAX(), COUNT(), and DATETIME(), but to no avail.
Can I please receive some help?
I've had to tackle this kind of measurement in the past..
Here's what I did for 15 minute intervals:
My datetime column is named datreg in my database log area.
cast(round(floor(cast(datreg as float(53))*24*4)/(24*4),5) as smalldatetime
I times by 4 in this formula, to get 4 intervals inside my 24 hour period.. For you it would look like this to get just hourly intervals:
cast(round(floor(cast(datreg as float(53))*24)/(24),5) as smalldatetime
This is a little piece of magic when it comes to dashboards and reports.
I have a Postgres database table of 'events' (i.e. rows with a timestamp column). I want to count the number of events that are separated by more than a specified minimum time gap and by less than or equal to a specified maximum time gap.
For example, if there is an event on 6 consecutive days but I specify a minimum time gap of 2 days, I only want to register a count of 1 for those 6 events.
At the same time, if I specify a maximum time gap of 30 days, if two events are 30 days apart I want to register a count of 2 for the pair, but if they are 31 days apart I want to register a count of 0.
The accepted answer to the following post gives a method for counting events and satisfying the 'maximum gap' requirement using the Postgres generate_series function:
Best way to count rows by arbitrary time intervals
Maybe it's possible to modify the suggested solution to also satisfy the 'minimum gap' requirement. Can anyone advise on how I can accomplish this? Thanks.
I'm trying to create a query that will show the properties that were sold and were on the market for less than 6 weeks. In the listings table, there is BeginListDate and EndList Date.
So far my WHERE statement looks like
WHERE SaleStatus.Salestatus = 'Sold' AND DATEDIFF(YEAR,BeginListDate, EndListDate) >42
but that query is incorrect. I'm just confused on how to write a where statement where it only considers those that were on the market for less than 6 weeks.
Just to elaborate on #JamieD77's very correct comment...
Your condition:
DATEDIFF(YEAR,BeginListDate, EndListDate) >42
Says "The number of Years between the BeginListDate and the EndListDate is greater than 42". That's a hell of a long list period. You say you are looking for the the list period to be less than 42 days, so #JamieD77's suggestion to:
Datediff(day,BeginListDate, EndListDate) < 42
Is the right way to go. This says "The number of Days between beginlistdate and endlistdate is less than 42."
The difference here is the DatePart as #squillman suggested changing from Year to Day as well as the inequality itself. You wanted Less Than, <.
Hint but depended on how would you preferred in report or project.
this example and if both startdate and endate are in the same calendar week, the return value for week would be 0.
select DATEDIFF(week,getdate(),getdate()+7)
it has been consider week start for sunday based on system.
I have two database in SQL Server. I wanted to find out the data older than (let say 3) years.
I know the database creation date, currently I have around 550 GB (both the database) of data spanned for 7 years, I wanted to know 'how much of the DB data (out of total 550 GB)is older than 3 years OR (5 years)'?
I was going through this link but couldn't get the expected data.
SQL SERVER – Query to find number Rows, Columns, ByteSize for each table in the current database – Find Biggest Table in Database
One of the solution coming in my mind right now is to find out the total number of rows accounted for 7 years (easily get this number), total number of rows accounted for 5 years (starting from the date creation) (don't know how to get this number).
then for row_count_7_years accounts for 550 GB of data , what will be the row_count_5_years? i will get the approx data.
Please Help
For such purposes you should keep some datetime field as marc mentioned. I suppose you don't have it.
In you suggested solution you can get the whole count of rows from your table (for 7 years i suppose), but you wouldn't be able to get the rows for 5 years, because there is no date.
You can get the whole number of records for 7 years and divide them on the number of years, and ONLY IN CASE you have your database avarage fulfill, you can make query for top (numberOFRows in one year)*5 and order them by row_number(). The result - the rows, you should delete. But I wouldn't recommend you to use this solution.
I would recommend you to alter your tables and add the datetime columns for each of them. Before that you should make the backup for the whole date and copy it somewhere. After 3 years you would be able to make your clean up.
as mentioned above u shud have a date column , however if you dont , depending on the realtionships in your tables u might be able to estimate the number of rows looking up realtionships with some other table that has the datetime column , else if you have a backup ( unlikely but still) you can restore that to identify the delta
Suppose ,I have a table which has all the billing records. Now I want to see the sales trend for a user given time duration group by each 3 days ...what should be the sql query regarding this?
please help,Otherwise I am gone ...
I can only give a vague suggestion as per the question, however you may want to have a derived column with a standardised date (as per MS date format, just a number per day) that you could then use a modulus (3) on so that days are equal per 3 day period. You can then group and aggregate over this column to get the values for a 3 day period. Obviously to display the date nicely you would have to multiply back and convert your column as well.
Again I'm not sure of the specifics, but I think this general idea could be achieved to get a result (may well not be the best way so it would help to add more to the question...)