This will not produce trailing zeros: test=> SELECT round(3.14159265, 2) īut if you store the result in a float8 column, you may get rounding errors: test=> SET extra_float_digits = 3 Postgres does integer division, so try this version of your query: select round ( (CASE WHEN b0 THEN 0.00 ELSE a100.0)/b END), 2) as cavg from tablename You can also do this by converting the result to a decimal: select cast ( (case when b 1 then 0 else a100. So what happens is that your float8 is converted to numeric (without scale), and the result is of the same type. Pg_catalog | round | numeric | numeric, integer | func If youd like to round a floating-point number to a specific number of decimal places in SQL, use the ROUND function. Pg_catalog | round | numeric | numeric | func For our example we will be using TypeORM with Postgres. convert(cast(CumulativeGPA AS DECIMAL(6,2)), SQLVARCHAR) D. Pg_catalog | round | double precision | double precision | func have a decimal type, so it will natively handle all decimals as floating points. that FLOAT currency ammounts would have rounded fixed two decimal places to give neat.
I want this to be an error, or at least a warning of some kind that I can detect, so that I can tell the user about the loss of precision. I entered five decimal places, but Postgres automatically rounded down to four. Schema | Name | Result data type | Argument data types | Type INSERT INTO ttable (tcol) VALUES ('123.45678') SELECT FROM ttable Fiddle Result: 123.4568 In this case, I have lost precision. Note that fixed-to-fixed casts that increase scale might fail. There is only one function round with two arguments, and that takes numeric as argument: test=> \df round Happens the same if I use decimal/numeric type. right (when increasing scale) or by reducing the number of fractional digits by rounding.
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