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Most of the time, as we all know, floating-point storage itself is an uncertain value, and you can never know whether it is 0 = 0.0000000000123 or 0 = 0.00000000000999. Maybe there is no problem when using it at first, but sometimes when you do statistics, you can see the clue.

To give a simple example, we know that unexpected effects may occur during statistics, resulting in the need for additional digital trade-offs in the code of the stored procedure or the receiving program, so here I actually recommend using Numeric instead of float for an alternative use to avoid a sum, and then look at each piece of data in detail, which is a normal 2jue, 3 decimal places, and a summary becomes 8pc9 digits

CREATE TABLE # T (ID INT IDENTITY,Va FLOAT) CREATE TABLE # T1 (ID INT IDENTITY Va NUMERIC (155.9)-INSERT INTO # T (Va) VALUES (0.60000000) INSERT INTO # T1 (Va) VALUES (0.60000000) GO 100SELECT SUM (Va) FROM # TSELECT SUM (Va) FROM # T1-- -60.0000000000001 (1 row affected)-60.000000000 (1 row affected)

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