PostgreSQL provides the DOUBLE PRECISION data type for this kind of numeric data– the data type offers … Text and characters. Why not optimized for NULL? Note: In PostgreSQL, the Numeric data type can have a value of up to 131,072 digits before the decimal point of 16,383 digits after the decimal point. In this number, the precision is 6, and the scale is 2.. For example, what wold be faster (?) There may be a need for documentation on this. Timestamps in PostgreSQL. SELECT cast(123456.78 as money); Result: $123,456.78 Convert from a Floating Point Number. However, if you must do it, you can convert to numeric first, then to money. The function code itself is responsible for what it returns. In case of processor memory, the double precision types can occupy up to 64 bit of memory. It is recommended against using floating point numbers to handle money due to the potential for rounding errors. select cast(109.652 as decimal(4,1)); numeric ----- 109.7 In this example, the PRICEPAID column (a DECIMAL(8,2) column) in the SALES table is converted to a DECIMAL(38,2) column and the values are multiplied by 100000000000000000000. Curiosily the "NULL to SqlType" not works, "ERROR: cannot cast jsonb null to type integer". I would like to have the data in my table with scale and precision, but my views to be cast to numeric without any scale or precision. tham "binary JSONb → string → binary SQL"? RETURNS TABLE(m numeric(20,10), n numeric(20,10)) does not enforce the data types of the returned columns; it's simply a declaration, metadata intended to inform the callers what the function should return. When converting from double precision, it is quite similar to rounding off the expression. 2) precision The precision argument is an integer that indicates the number of decimal places. It is safe for money values to cast to and from the numeric type (used for arbitrary precision, as shown above), so it is recommended to always use numeric as an intermediary before performing converting to other types. Stephan Szabo It's more complicated than that (and postgres does some of this but not all), for example the cast text->float8->numeric potentially loses precision and should probably not be an automatic cast for that reason. as you can see it worked for me (click the "here" in the answer) that s a live demo. Double precision expression takes more decimal points when compared to float data types. The declaration cannot not require anything, it's a "promise" that is to be fulfilled by the function implementation. Numeric plain only shows numbers after the decimal point that are being used. The to_date function in PostgreSQL is used to converting strings into CAST( number AS double precision) or alternatively number::double Can't convert to Date – BWhite Aug 30 '19 at 23:30 what version of postgres? Postgresql cast double precision to numeric. String to numeric. I'm using 8.2.4 Numeric with scale precision always shows the trailing zeros. Apache Derby and PostgreSQL - Criteria selectCase with Enu There are two ways to typecast in Postgres: You either do it the SQL standard way: select cast(3.141593 as bigint); or you could use the Postgres-specific cast operator: :: select (3.141593 :: bigint); You might also want to consider the various rounding functions. boolean→boolean, number→numeric, number→int, number→bigint; number→flloat, number→double. 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