I have a table that looks similar to this:
credit
+---------+----------------+-------------+--------------+-------------------------+
| id (PK) | person_id (FK) | transaction | total credit | date_time |
+---------+----------------+-------------+--------------+-------------------------+
| 345 | 1 | -1.00 | 34.50 | 2018-08-29 12:00:00.000 |
| 897 | 1 | 5.45 | 39.95 | 2018-08-29 12:34:00.000 |
| 378 | 2 | 0.01 | 0.01 | 2018-08-29 08:00:00.000 |
| 789 | 2 | 20.00 | 20.01 | 2018-08-29 09:00:00.000 |
+---------+----------------+-------------+--------------+-------------------------+
How would I write a query in Postgres to return only the most recent (by date_time DESC
) row grouped by each unique person_id
in the table, like this?
+---------+----------------+-------------+--------------+-------------------------+
| id (PK) | person_id (FK) | transaction | total credit | date_time |
+---------+----------------+-------------+--------------+-------------------------+
| 897 | 1 | 5.45 | 39.95 | 2018-08-29 12:34:00.000 |
| 789 | 2 | 20.00 | 20.01 | 2018-08-29 09:00:00.000 |
+---------+----------------+-------------+--------------+-------------------------+
Use distinct on
:
select distinct on (person_id) t.*
from t
order by person_id, date_time desc
You can try this. use ROW_NUMBER
with window function to make row number split by person_id and order by date_time
in subquery then get row number is 1
CREATE TABLE credit(
id int,
person_id int,
transaction float,
"total credit" float,
date_time timestamp
);
INSERT INTO credit values (345,1 ,-1.00,34.50, '2018-08-29 12:00:00.000');
INSERT INTO credit values (897,1 ,5.45 ,39.95, '2018-08-29 12:34:00.000');
INSERT INTO credit values (378,2 ,0.01 ,0.01 , '2018-08-29 08:00:00.000');
INSERT INTO credit values (789,2 ,20.00,20.01, '2018-08-29 09:00:00.000');
Query 1 :
SELECT * FROM (
SELECT *,ROW_NUMBER() OVER (PARTITION BY person_id ORDER BY date_time DESC) rn
FROM credit
) t1
where rn = 1
Results :
| id | person_id | transaction | total credit | date_time | rn |
|-----|-----------|-------------|--------------|----------------------|----|
| 897 | 1 | 5.45 | 39.95 | 2018-08-29T12:34:00Z | 1 |
| 789 | 2 | 20 | 20.01 | 2018-08-29T09:00:00Z | 1 |
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