I have the following table.
test_type | brand | model | band | firmware_version | avg_throughput
-----------+---------+--------+------+-----------------+----------------
1client | Linksys | N600 | 5ghz | 1 | 66.94
1client | Linksys | N600 | 5ghz | 2 | 94.98
1client | Linksys | N600 | 5ghz | 4 | 132.40
1client | Linksys | EA6500 | 5ghz | 1 | 216.46
1client | Linksys | EA6500 | 5ghz | 2 | 176.79
1client | Linksys | EA6500 | 5ghz | 4 | 191.44
I'd like to select the avg_throughput
of each model
that has the lowest firmware_version
.
When I do SELECT test_type, model, min(firmware_version) FORM temp_table GROUP BY test_type, model
I get what I want but once I add the avg_throughput
column it requires me to also add it to the GROUP BY clause which makes it return all the rows when all I need is only the avg_throughput
for the lowest firmware_version
for each model
type.
In standard SQL this can be done using a window function
select test_type, model, firmware_version, avg_throughput
from (
select test_type, model, firmware_version, avg_throughput,
min(firmware_version) over (partition by test_type, model) as min_firmware
from temp_table
) t
where firmware_version = min_firmware;
Postgres however has the distinct on
operator which is usually faster than the corresponding solution with a window function:
select distinct on (test_type, model)
test_type, model, firmware_version, avg_throughput
from temp_table
order by test_type, model, firmware_version;
SQLFiddle example: http://sqlfiddle.com/#!15/563bd/1
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