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. Text and characters. It is recommended against using floating point numbers to handle money due to the potential for rounding errors. For example, what wold be faster (?) String to numeric. In case of processor memory, the double precision types can occupy up to 64 bit of memory. Numeric plain only shows numbers after the decimal point that are being used. When you need to store numeric values with a large number of decimal digits, you need to make sure you utilize the correct data type for the task. 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. The declaration cannot not require anything, it's a "promise" that is to be fulfilled by the function implementation. Curiosily the "NULL to SqlType" not works, "ERROR: cannot cast jsonb null to type integer". 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. Why not optimized for NULL? 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. boolean→boolean, number→numeric, number→int, number→bigint; number→flloat, number→double. However, if you must do it, you can convert to numeric first, then to money. PostgreSQL provides the DOUBLE PRECISION data type for this kind of numeric data– the data type offers … as you can see it worked for me (click the "here" in the answer) that s a live demo. There may be a need for documentation on this. However, when I cast a numeric(16,4) to a ::numeric it doesn't cast it. Postgresql cast double precision to numeric. CAST(number AS double precision) or alternatively number::double precision: If a column contains money data you should keep in mind that floating point numbers should not be used to handle money due to the potential for rounding errors. The function code itself is responsible for what it returns. tham "binary JSONb → string → binary SQL"? Double precision expression takes more decimal points when compared to float data types. I'm using 8.2.4 Numeric with scale precision always shows the trailing zeros. 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. 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. Apache Derby and PostgreSQL - Criteria selectCase with Enu When converting from double precision, it is quite similar to rounding off the expression. 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? 2) precision The precision argument is an integer that indicates the number of decimal places. 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