The sum of 2 floating values in postgres gives the result with higher precision. Expected: Actual: The result is having higher precision than expected. The same operation with different set of inputs behaves differently. Here I have reduced the problem statement by finding the 2 numbers for which the issue exists. The actual problem is when I do this on

# Tag: floating-point

## How do I select floating-point infinity literals from a SQLite database?

I have a SQLite database with a table named measurements, which contains some experimental data measured by a power meter. They’re stored as data type REAL in a field named power_dbm. In some measurements, the readings can be off the scale, the meter cannot obtain a reading due to overrange or underrange, thus the values +Inf and -Inf are used

## SQL set floating point precision

For a SQL int that is being converted to a float, how do I set the precision of the floating point number? This is the selection I would like to truncate to two or 3 decimal places: Thanks! Answer In TSQL, you can specify two different sizes for float, 24 or 53. This will set the precision to 7 or

## TSQL – make a literal float value

I understand the host of issues in comparing floats, and lament their use in this case – but I’m not the table author and have only a small hurdle to climb… Someone has decided to use floats as you’…