In BigQuery, how can I get rows based on the latest value of timestamp field?
For example, I have this table.
| first_name | last_name | use_auto | login_at |
|---|---|---|---|
| James | Davis | true | 2021-05-13 02:00:00 UTC |
| James | Moore | true | 2021-05-13 02:00:01 UTC |
| James | Green | true | 2021-05-13 02:00:02 UTC |
| Edward | Green | false | 2021-05-13 03:00:00 UTC |
| Edward | Wilson | false | 2021-05-13 03:00:01 UTC |
| James | Davis | false | 2021-05-13 03:00:00 UTC |
| James | Moore | false | 2021-05-13 03:00:01 UTC |
| James | Green | false | 2021-05-13 03:00:02 UTC |
| Edward | Green | true | 2021-05-13 02:00:00 UTC |
| Edward | Wilson | true | 2021-05-13 02:00:00 UTC |
I'd like to get the result after query like this,
| first_name | last_name | use_auto | login_at |
|---|---|---|---|
| Edward | Green | false | 2021-05-13 03:00:00 UTC |
| Edward | Wilson | false | 2021-05-13 03:00:01 UTC |
| James | Davis | false | 2021-05-13 03:00:00 UTC |
| James | Moore | false | 2021-05-13 03:00:01 UTC |
| James | Green | false | 2021-05-13 03:00:02 UTC |
Please let me know what query should I use.