First, my main issue, I want to do is to check how many users that had an active product on a given date.
My data looks like this:
UserID ActiveFrom ActiveTo
1 2019-02-03 2019-03-05
2 2019-04-01 2019-04-30
1 2019-03-06 2019-04-04
3 2019-05-01 2019-05-31
I think the solution could to select all the ActiveFrom and union with ActiveFrom, and then fill in the missing dates so that it looked something like this:
UserID ActiveOnDate
1 2019-02-03
1 2019-02-04
1 2019-02-05
And so on
Then I could count all the UserID for each date. But i can’t find a query that fills out the missing dates in the date range. And I also don’t know if this is the “easiest” solution. Any ideas?
If your Dates have the Date datatype (and not VARCHAR for exemple), you can use the BETWEEN sql operator
https://sql.sh/cours/where/between
SELECT count(*) FROM user WHERE [dateToTest] BETWEEN ActiveFrom AND ActiveTo;
Related
I have this table (in reality it has more fields but for simplicity, it will demonstrate what I'm after)
Payment_Type
Person ID
Payment_date
Payment_Amount
Normal
1
2015-01-01
£1.00
Normal
1
2017-01-01
£2.00
Reversal
1
2022-01-09
£3.00
Normal
2
2016-12-29
£3.00
Reversal
2
2022-01-02
£4.00
I need 2 specific things from this:
I need all entries where there is over 6 years difference between any given payment dates (when its been greater than or equal to 6 years from the date of the latest payment date). I don't need to count them, I just need it to return all the entries that meet this criteria.
I also need it to specify where a normal payment hasn't been made for 6 years or more from todays date but a reversal has however occurred within the last 6 years. (This might need to be a separate query but will take suggestions)
I'm using Data Lake (Hue).
Thank you.
I've tried to run a sub query with join and union but I'm not getting the desired results so will need to start from scratch. Any advice/insight on this is greatly appreciated.
Ideally, query one will show:
Payment_Type
Person ID
Payment_date
Payment_Amount
Normal
1
2015-01-01
£1.00
Normal
1
2017-01-01
£2.00
Normal
2
2016-12-29
£3.00
Query 2 results should show:
Payment_Type
Person ID
Payment_date
Payment_Amount
Normal
1
2017-01-01
£2.00
Reversal
1
2022-01-09
£3.00
Normal
2
2016-12-29
£3.00
Reversal
2
2022-01-02
£4.00
I have an Access table (Logs) like this:
pk
modID
relID
DateTime
TxType
1
1234
22.3
10/1/22 04:00
1
2
1234
23.1
10/10/22 06:00
1
3
1234
23.1
10/11/22 07:00
2
4
1234
23.1
10/12/22 08:00
3
5
4321
22.3
10/2/22 06:00
7
6
4321
23.1
10/10/22 06:00
1
7
4321
23.1
10/11/22 07:30
3
Trying to write a query as part of a function that searches this table:
for all records matching a given modID and relID (e.g. 1234 and 23.1),
picks the most recent one (the MAX of DateTime),
returns the TxType for that record.
However, a bit new to Access and its query structure is vexing me. I landed on this but because I have to include a Total/Aggregate function for TxType I had to either choose Group By (not what I want) or Last (closer, but returns junk results). The SQL for my query is currently:
SELECT Last(Logs.TxType) AS LastOfTxType, Max(Logs.DateTime) AS MaxOfDateTime
FROM Logs
GROUP BY Logs.dmID, Logs.relID
HAVING (((Logs.dmID)=[EnterdmID]) AND ((Logs.relID)=[EnterrelID]));
It returns the TxType field when I pass it the right parameters, but not the correct record - I would like to be rid of the Last() bit but if I remove it Access complains that I don't have it as part of an aggregate function.
Anyone that can point me in the right direction here?
Have you tried
SELECT TOP 1 TxtType
FROM Logs
WHERE (((Logs.dmID)=[EnterdmID]) AND ((Logs.relID)=[EnterrelID]))
ORDER BY DateTime DESC;
That will give you the latest single data row based on your DateTime field and other criteria.
Below I have an example of a query that I am trying to perform. The INPUT is the table that I have access to. The OUTPUT is how I would like to organize the data. I am trying to group the data by the date and have an output for the number ups and the number of downs, so the output will give a string, int, int.
This query is a little more advanced than I've done before, but I think I will need something similar to this:
SELECT date, COUNT(*), COUNT(*) FROM Input GROUP BY date
I am not sure how to format the COUNTs to look for only UP or DOWN on a particular date. Could someone help point me in the right direction
INPUT
date
time
status
2022-01-01
12:12:12
UP
2022-01-01
13:12:12
DOWN
2022-01-01
14:12:12
UP
2022-02-04
12:12:12
UP
2022-02-04
13:12:12
DOWN
2022-02-04
14:12:12
DOWN
2022-03-05
12:12:12
UP
2022-03-05
13:12:12
UP
2022-03-05
14:12:12
DOWN
OUTPUT
date
# of UP
# of DOWN
2022-01-01
2
1
2022-02-04
1
2
2022-03-05
2
1
You can try sum with a conditional case expression
select date,
Sum(case when status='Up' then 1 else 0 end) NumUps,
Sum(case when status='Down' then 1 else 0 end) NumDowns
from t
group by date;
I have a db with 6 tables. Each table has a list of date and datetime columns as shown below
Table 1 Table 2 .... Table 6
Date_of_birth Exam_date exam_datetime Result_date Result_datetime
2190-01-13 2192-01-13 2192-01-13 09:00:00 2194-04-13 2194-04-13 07:12:00
2184-05-21 2186-05-21 2186-05-21 07:00:00 2188-02-03 2188-02-03 09:32:00
2181-06-17 2183-06-17 2183-06-17 05:00:00 2185-07-23 2185-07-23 12:40:00
What I would like to do is shift all these future days back to the past date (definitely has to be less than the current date) but retain the same chronological order. Meaning, we can see that the person was born first, then he took the exam, and finally, he got his results.
In addition, I should be able to revert the changes and get back the future dates again.
I expect my output to be something like below
Stage 1 - shift back to old days (it can be any day but it has to be in the past and retain chronological order)
Table 1 Table 2 .... Table 6
Date_of_birth Exam_date exam_datetime Result_date Result_datetime
1990-01-13 1992-01-13 1992-01-13 09:00:00 1994-04-13 1994-04-13 07:12:00
1984-05-21 1986-05-21 1986-05-21 07:00:00 1988-02-03 1988-02-03 09:32:00
1981-06-17 1983-06-17 1983-06-17 05:00:00 1985-07-23 1985-07-23 12:40:00
Stage 2 - Shift forward to future days as how it was earlier
Table 1 Table 2 .... Table 6
Date_of_birth Exam_date exam_datetime Result_date Result_datetime
2190-01-13 2192-01-13 2192-01-13 09:00:00 2194-04-13 2194-04-13 07:12:00
2184-05-21 2186-05-21 2186-05-21 07:00:00 2188-02-03 2188-02-03 09:32:00
2181-06-17 2183-06-17 2183-06-17 05:00:00 2185-07-23 2185-07-23 12:40:00
Subtract two centuries:
update table1
set date_of_birth = date_of_birth - interval '200 year';
You can do something similar for all the other dates.
I have a set of data where one column is date and time. I have been asked for all the data in the table, between two date ranges and within those dates, only certain time scale. For example, I was data between 01/02/2019 - 10/02/2019 and within the times 12:00 AM to 07:00 AM. (My real date ranges are over a number of months, just using these dates as an example)
I can cast the date and time into two different columns to separate them out as shown below:
select
name
,dateandtimetest
,cast(dateandtimetest as date) as JustDate
,cast(dateandtimetest as time) as JustTime
INTO #Test01
from [dbo].[TestTable]
I put this into a test table so that I could see if I could use a between function on the JustTime column, because I know I can do the between on the dates no problem. My idea was to get them done in two separate tables and perform an inner join to get the results I need
from #Test01
WHERE justtime between '00:00' and '05:00'
The above code will not give me the data I need. I have been racking my brain for this so any help would be much appreciated!
The test table I am using to try and get the correct code is shown below:
|Name | DateAndTimeTest
-----------------------------------------|
|Lauren | 2019-02-01 04:14:00 |
|Paul | 2019-02-02 08:20:00 |
|Bill | 2019-02-03 12:00:00 |
|Graham | 2019-02-05 16:15:00 |
|Amy | 2019-02-06 02:43:00 |
|Jordan | 2019-02-06 03:00:00 |
|Sid | 2019-02-07 15:45:00 |
|Wes | 2019-02-18 01:11:00 |
|Adam | 2019-02-11 11:11:00 |
|Rhodesy | 2019-02-11 15:16:00 |
I have now tried and got the data to show me information between the times on one date using the below code, but now I would need to make this piece of code run for every date over a 3 month period
select *
from dbo.TestTable
where DateAndTimeTest between '2019-02-11 00:00:00' and '2019-02-11 08:30:00'
You can use SQL similar to following:
select *
from dbo.TestTable
where (CAST(DateAndTimeTest as date) between '2019-02-11' AND '2019-02-11') AND
(CAST(DateAndTimeTest as time) between '00:00:00' and '08:30:00')
Above query will return all records where DateAndTimeTest value in date range 2019-02-11 to 2019-02-11 and with time between 12AM to 8:30AM.