I would like to store date/time ranges in PostgreSQL of some arbitrary events that have a state of open or closed and a date/time of when the state … Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts

I need to calculate the number of months between two dates 1/1/07 and the current date on a paystub. I need the answer as a decimal so that I can YTD income properly. What is the easiest way to do this?

Postgresql months between two dates

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May 23, 2018 · In this PostgreSQL post explains how to use the PostgreSQL age function with syntax and examples. The PostgreSQL age function returns the number of years, months, and days between two dates.site: google sitemap xml, Open Graph and plain old meta-tags. Thanks to using an explicit range that includes the first date and excludes the closing date, we don’t have to compute the number of days of the closing month here. PostgreSQL is pretty good at that. Just refrain from using between which would include both dates in the range. And if you’re curious here’s the result:

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    Rescuezilla 2.1 comes two months after version 2.0, but it’s not just a point release. In fact, this is a major update to Rescuezilla, which has been rebased on the latest Ubuntu 20.10 (Groovy Gorilla) operating system. MONTHS_BETWEEN returns number of months between dates date1 and date2. If date1 is later than date2, then the result is positive. The following example calculates the months between two dates

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    Note that "±NNN months" works by rendering the original date into the YYYY-MM-DD format, adding the ±NNN to the MM month value, then normalizing the result. Thus, for example, the data 2001-03-31 modified by '+1 month' initially yields 2001-04-31, but April only has 30 days so the date is normalized to 2001-05-01.

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    Aug 09, 2018 · The master table has a trigger which calls a partition function. There are two typical approaches for sending records to the designated child tables – by date values and by fixed values (like geo locations). In our case since the statistics data is time sensitive information, we will use the date values criteria. PostgreSQL date functions (like DATE_TRUNC, EXTRACT, and AGE) make wrangling timestamps much easier. (Since month and channel are the first two values in your SELECT statement, you can GROUP BY 1,2), like this AGE() can also determine how much time passed between two events.

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