How to run a saved search and limit results to the...
# ask-stanley-ai
r
How to run a saved search and limit results to the last few hours
c
AI generated answer (using internal Slack threads):
To run a saved search and limit results to the last few hours, you can use a Formula (Numeric) criteria filter in your saved search. The formula
{today} - {createddate}
returns the number of days elapsed as a floating point value. You can then filter on results
less than or equal to
value
1
to get the last 24 hours. If you need a different range, you may need to use a between filter. For example,
between
0.125
and
1.125
would return everything that was created more than 3 hours and less than 27 hours ago. For a fixed time range, you can use
to_date('2019-10-10 19:00', 'YYYY-MM-DD HH24:MI') - {createddate}
, which calculates the time elapsed from the Date Created until a specific time. If you want to see the time portion of {today}, you can use a Formula (Date/Time) column with {today}. If using Formula (Date), it will not show the time portion. Alternatively, you can use the
TO_CHAR
to convert {today} to a string:
TO_CHAR({today})
The function takes an optional second parameter where you can specify an output format, otherwise it uses a default format. For a specific time range every day, you can add a Date Created filter for the last two weeks and then a separate filter on Formula (Text) = T where the formula is:
CASE WHEN TO_CHAR({datecreated}, 'HH24:MI:SS') > '15:00:00' AND TO_CHAR({datecreated}, 'HH24:MI:SS') < '16:00:00' THEN 'T' ELSE 'F' END
****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.842823923
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.842586279
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.830958128
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