I was told to create a new question regarding one that apparently was duplicated and that if the duplicates didn't give me the correct answer I desired.
So the basics of my system is that I have a database populated with "house" positions/coordinates. I do an advanced query to select all of the houses near a certain coordinate like so;
SELECT id, type, distance FROM (SELECT b.id, b.type, b.x, b.y, b.z, 
    SQRT(POWER(ABS(1654.5413 - b.x), 2) + POWER(ABS(-2293.7571 - b.y), 2) + POWER(ABS(-1.1996 - b.z), 2)) AS "distance" 
        FROM businesses b ORDER BY distance ASC) as T;
This will result in;
+------+------+------------------------+
| id   | type | distance               |
+------+------+------------------------+
| 1953 |    2 | 0.00004489639611771451 |
|    2 |  100 |      8.757256937390904 |
| 1959 |    2 |      8.999959765646956 |
| 1960 |    2 |     10.499959765643807 |
| 1961 |    2 |     11.999959765641446 |
| 1962 |    2 |     13.499959765639607 |
| 1963 |    2 |     14.999959765638138 |
| 1964 |    2 |     16.499959765636934 |
| 2055 |    3 |      17.11486010149676 |
| 2054 |    1 |     17.751048488860313 |
| 1965 |    2 |     17.999959765635932 |
| 1966 |    2 |     19.499959765635083 |
| 1967 |    2 |     20.999959765634358 |
| 2056 |    5 |      22.26658275782834 |
| 1968 |    2 |     22.499959765633726 |
| 1969 |    2 |     23.999959765633175 |
| 2057 |    5 |     24.054132659013334 |
| 1970 |    2 |      25.49995976563269 |
| 2058 |    5 |     26.001138245767084 |
| 2061 |    4 |     26.853239370669378 |
| 1971 |    2 |      26.99995976563226 |
| 1972 |    2 |      28.49995976563187 |
| 2060 |    5 |      28.55999771765475 |
| 1973 |    2 |     29.999959765631523 |
| 2059 |    5 |     31.414688663981224 |
| 1974 |    2 |     31.499959765631207 |
|    1 |  100 |      121468.4587678613 |
+------+------+------------------------+
What I basically want to do is grab the rows that have the least distance but I do not want duplicates based on the "type" column, like so;
+------+------+------------------------+
| id   | type | distance               |
+------+------+------------------------+
| 1953 |    2 | 0.00004489639611771451 |
|    2 |  100 |      8.757256937390904 |
| 2055 |    3 |      17.11486010149676 |
| 2054 |    1 |     17.751048488860313 |
| 2056 |    5 |      22.26658275782834 |
| 2061 |    4 |     26.853239370669378 |
+------+------+------------------------+
I received two answers (which were both wrong) in my previous question and they're half correct, one of the answers was;
"It is more simple with a nested query:
SELECT id,type, MIN(distance) AS 'minDistance'
FROM(
SELECT id, type, distance FROM (SELECT b.id, b.type, b.x, b.y, b.z, 
    SQRT(POWER(ABS(1654.5413 - b.x), 2) + POWER(ABS(-2293.7571 - b.y), 2) + POWER(ABS(-1.1996 - b.z), 2)) AS "distance" 
        FROM businesses b ORDER BY distance ASC) as T) AS TABLE
GROUP BY type 
ORDER BY 'minDistance'
"
^ The answer above does select the correct distance that I expect. But what it doesn't do is match the id field and all of the other fields I would like to select, basically mismatching the row with different values. Not sure if I explained that correctly but here is basically what happens.
If my table is populated with these rows;
+------+------+------------------------+
| id   | type | distance               |
+------+------+------------------------+
| 1960 |    2 |     65.757256937390904 |
| 1953 |    2 | 0.00004489639611771451 |
| 2055 |    2 |      17.11486010149676 |
+------+------+------------------------+
And I run the query I got from the answer I would get this;
+------+------+------------------------+
| id   | type | distance               |
+------+------+------------------------+
| 1960 |    2 | 0.00004489639611771451 |
+------+------+------------------------+
But as you can see, the distance doesn't correspond with the correct id field, it is supposed to be id 1953 but instead its 1960.
How would I go on about correcting this?
PS; if you're interested in the other topic/question; select non duplicates by column from select query
 
     
    