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Tag: datediff

How to use date_diff for two adjacent sessions using BigQuery?

I’m trying to calculate average hours between two adjacent sessions using the data from the following table: user_id event_timestamp session_num A 2021-04-16 10:00:00.000 UTC 1 A 2021-04-16 11:00:00.000 UTC 2 A 2021-04-16 13:00:00.000 UTC 3 A 2021-04-16 16:00:00.000 UTC 4 B 2021-04-16 12:00:00.000 UTC 1 B 2021-04-16 14:00:00.000 UTC 2 B 2021-04-16 19:00:00.000 UTC 3 C 2021-04-16 10:00:00.000 UTC 1

Subtract today’s date with date column in SQL [closed]

Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question I have a column in SQL item_expired, this column stores data in the form of dates from other items. What I want to ask, how

Data aggregation by sliding time periods

[Query and question edited and fixed thanks to comments from @Gordon Linoff and @shawnt00] I recently inherited a SQL query that calculates the number of some events in time windows of 30 days from a log database. It uses a CTE (Common Table Expression) to generate the 30 days ranges since ‘2019-01-01’ to now. And then it counts the cases

DATEDIFF vs (w1.date = w2.date +1) difference? MySQL syntax

I was working on a SQL database question using MySQL. The goal is to find all IDs that satisfy today is warmer than yesterday. I’ll show you my original code, which passed 2 out of 3 test cases and then a revised code which satisfies all 3. What is the functional difference between these two? Is it a MySQL thing,