Delete duplicate rows based on columns - postgresql

Question

I have a table called Aircraft and there are many records. The problem is that some are duplicates. I know how to select the duplicates and their counts:
SELECT flight_id, latitude, longitude, altitude, call_sign, measurement_time, COUNT(*)
FROM Aircraft
GROUP BY flight_id, latitude, longitude, altitude, call_sign, measurement_time
HAVING COUNT(*) > 1;
This returns something like:
Now, what I need to do is remove the duplicates, leaving just one each so that when I run the query again, all counts become 1.
I know that I can use the DELETE keyword, but I'm not sure how to delete it from the SELECT.
I'm sure I am missing an easy step, but I do not want to ruin my DB being a newbie.
How do I do this?

Answer 1

SELECT
flight_id, latitude, longitude, altitude, call_sign, measurement_time
FROM Aircraft a
WHERE EXISTS (
SELECT * FROM Aircraft x
WHERE x.flight_id = a.flight_id
AND x.latitude = a.latitude
AND x.longitude = a.longitude
AND x.altitude = a.altitude
AND x.call_sign = a.call_sign
AND x.measurement_time = a.measurement_time
AND x.id < a.id
)
;
If the query above returns thecorrect rows (to be deleted)
you can change it into a delete statement:
DELETE
FROM Aircraft a
WHERE EXISTS (
SELECT * FROM Aircraft x
WHERE x.flight_id = a.flight_id
AND x.latitude = a.latitude
AND x.longitude = a.longitude
AND x.altitude = a.altitude
AND x.call_sign = a.call_sign
AND x.measurement_time = a.measurement_time
AND x.id < a.id
)
;

Answer 2

I have always used the CTE method in SQL SERVER. This allows you to define columns that you want to compare, once you have established what columns make up a duplicate, then you can assign a CTE value to it and then go back and cleanup the CTE values that are greater than 1. This is an example of duplicate checking that I do.
WITH CTE AS
(select d.UID
,d.LotKey
,d.SerialNo
,d.HotWeight
,d.MarketValue
,RN = ROW_NUMBER()OVER(PARTITION BY d.HotWeight, d.serialNo, d.MarketValue order by d.SerialNo)
from LotDetail d
where d.LotKey = ('1~20161019~305')
)
DELETE FROM CTE WHERE RN <> 1
In my example I am looking at the LotDetail table where the d.hotweight and d.serial no are matching. if there is a match then the original gets CTE 1 and any duplicates get CTE 2 or greater depending on the amount of duplicates. Then you use the last DELETE statement to clear the entries that come up as duplicate. THis is really flexible so you should be able to adapt it to your issue.
Here is an example tailored to your situation.
WITH CTE AS
(select d.Flight_ID
,d.Latitude
,d.Longitude
,d.Altitude
,d.Call_sign
,d.Measurement*
,RN = ROW_NUMBER()OVER(PARTITION BY d.Flight_ID, d.Latitude, d.Longitude, d.Altitude, d.Call_Sign, d.Measurement* order by d.SerialNo)
from Aircraft d
where d.flight_id = ('**INSERT VALUE HERE')
)
DELETE FROM CTE WHERE RN <> 1

Answer 3

If it's a one-time operation you can create a temp table with the same schema and then copy unique rows over like so:
insert into Aircraft_temp
select distinct on (flight_id, measurement_time) Aircraft.* from Aircraft
Then swap them out by renaming, or truncate Aircraft and copy the temp contents back (truncate Aircraft; insert into Aircraft select * from Aircraft_temp;).
Safer to rename Aircraft to Aircraft_old and Aircraft_temp to Aircraft so you keep your original data until you are sure things are correct. Or at least check that the number of rows in your count query above match the count of rows in the temp table before doing the truncate.
Update2: With a separate valid primary key (assuming it is called id) you can do a DELETE based on a self join like this:
delete from Aircraft using (
select a1.id
from Aircraft a1
left join (select flight_id, measurement_time, min(id) as id from Aircraft group by 1,2) a2
on a1.id = a2.id
where a2.id is null
) as d
where Aircraft.id=d.id
This finds the minimum id (could do max too for the "latest") for each flight and identifies all the records from the full set having an id that is not the minimum (no match in the join). The unmatched ids are deleted.