This is a discussion on Why is this that complicated? within the MySQL Database forums, part of the Database Forums category; I have a table and I have to do a certain mathematical calculation for each row. Than I have to ...
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I have a table and I have to do a certain mathematical calculation for
each row. Than I have to select the row with the minimal result of calculation. I don't want to do the calculation more than once and I don't want to sort the whole table. I did the following: CREATE TEMPORARY TABLE Temp SELECT Transformers.*, SQRT(POW(1234567 - Transformers.X, 2) + POW(7654321 - Transformers.Y, 2)) AS Distance FROM Transformers; SELECT * FROM Temp WHERE Distance = (SELECT MIN(Distance) FROM Temp); DROP TABLE Temp; This looks nice, but it doesn't work since I can execute only one SELECT on temporary table. Otherwise, temporary tables would fit perfectly since this request is repeated frequently (with input different numbers) and for multiple sessions. How to solve this problem? Many thanks. |
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On Feb 6, 8:45 am, n...@index.hr wrote:
> I have a table and I have to do a certain mathematical calculation for > each row. > Than I have to select the row with the minimal result of calculation. > > I don't want to do the calculation more than once and I don't want to > sort the > whole table. > > I did the following: > > CREATE TEMPORARY TABLE Temp > SELECT Transformers.*, > SQRT(POW(1234567 - Transformers.X, 2) + POW(7654321 - Transformers.Y, > 2)) AS Distance > FROM Transformers; > SELECT * FROM Temp > WHERE Distance = (SELECT MIN(Distance) FROM Temp); > DROP TABLE Temp; > > This looks nice, but it doesn't work since I can execute only one > SELECT > on temporary table. Otherwise, temporary tables would fit perfectly > since > this request is repeated frequently (with input different numbers) and > for > multiple sessions. > > How to solve this problem? > > Many thanks. Sorry if this obvious but would a JOIN solve the problem? |
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nte@index.hr wrote:
> I have a table and I have to do a certain mathematical calculation for > each row. > Than I have to select the row with the minimal result of calculation. > > I don't want to do the calculation more than once and I don't want to > sort the > whole table. > > I did the following: > > > CREATE TEMPORARY TABLE Temp > SELECT Transformers.*, > SQRT(POW(1234567 - Transformers.X, 2) + POW(7654321 - Transformers.Y, > 2)) AS Distance > FROM Transformers; > SELECT * FROM Temp > WHERE Distance = (SELECT MIN(Distance) FROM Temp); > DROP TABLE Temp; > > > This looks nice, but it doesn't work since I can execute only one > SELECT > on temporary table. Otherwise, temporary tables would fit perfectly > since > this request is repeated frequently (with input different numbers) and > for > multiple sessions. > > > How to solve this problem? I have a couple of tips: 1. If SQRT(expr1) < SQRT(expr2), then expr1 < expr2. So computing the SQRT() on both rows just for the purpose of finding the row with the least value is expensive and unnecessary. Eliminating this calculation could make the query cheap enough that you can do it on every request. 2. The problem you have shown indicates that you calculate the distance to a fixed point for all rows. If that were the case, you could pre-calculate the distance and store it in a new column in the Transformers table. Put an index on it, and it would be very fast to query it thus: SELECT * FROM Transformers ORDER BY distance ASC LIMIT 1 Anytime you insert a new row or change the X and Y, you would re-calculate the distance for just one row and store it. Anytime you change the fixed point you would need to re-calculate the distance for all rows. But I would assume that you don't use a fixed origin point for the distance calculation. It's more likely that you are comparing all rows against a different point from time to time. So this solution may not be appropriate in your case. 3. You could store an additional non-temporary table for all distances from all rows to all fixed points that you may be interested in. This table would become very long, but just storing a few numbers, the table rows would not be very wide. With proper indexes it could still be searched quickly. Regards, Bill K. |