I have a table that looks like this:
identifier | value | tstamp
-----------+-------+---------------------
abc | 21 | 2014-01-05 05:24:31
xyz | 16 | 2014-01-11 03:32:04
sdf | 11 | 2014-02-06 07:04:24
qwe | 24 | 2014-02-14 02:12:07
abc | 23 | 2014-02-17 08:45:24
sdf | 15 | 2014-03-21 11:23:17
xyz | 19 | 2014-03-27 09:52:37
I know how to get the most recent value for a single identifier:
select * from table where identifier = 'abc' order by tstamp desc limit 1;
But I want to get the most recent value for all identifiers. How can I do this?
The simplest (and often fastest) way is DISTINCT ON
in Postgres:
SELECT DISTINCT ON (identifier) *
FROM tbl
ORDER BY identifier, tstamp DESC;
This also returns an ordered list.
SQLFiddle.
Details:
Select first row in each GROUP BY group?
SELECT *
FROM ( SELECT *,
ROW_NUMBER() OVER(PARTITION BY identifier
ORDER BY tstamp DESC) AS RN
FROM YourTable) AS T
WHERE RN = 1
Here is an sqlfiddle with a demo of this.
The results are:
╔════════════╦═══════╦═════════════════════════════════╦════╗
║ IDENTIFIER ║ VALUE ║ TSTAMP ║ RN ║
╠════════════╬═══════╬═════════════════════════════════╬════╣
║ abc ║ 23 ║ February, 17 2014 08:45:24+0000 ║ 1 ║
║ qwe ║ 24 ║ February, 14 2014 02:12:07+0000 ║ 1 ║
║ sdf ║ 15 ║ March, 21 2014 11:23:17+0000 ║ 1 ║
║ xyz ║ 19 ║ March, 27 2014 09:52:37+0000 ║ 1 ║
╚════════════╩═══════╩═════════════════════════════════╩════╝
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