For example, you can define a 5-digit whole number using numeric(5). Single argument: In case we specify a single argument, it is considered as the precision of the column with scale defaulted to 0.No arguments: If we do not specify any arguments, it can store any precision and scale data.Scale defines the number of digits after the decimal point.īoth precision and scale arguments are optional in the numeric Postgres data type.Precision defines the maximum number of total digits.It is especially recommended for storing monetary amounts and other quantities where this type of precision is required. When it comes to arbitrary precision numbers, the type numeric can store virtually an unlimited number of digits of precision and perform calculations exactly. If we generate the table script, it uses the smallint data type while we specified smallserial data type. This automatically creates a sequence and function for generating auto incremental values. For example, in the below CREATE TABLE statement, I defined a column ID with data type smallserial. These are pseudo data types because they use integer, smallint or bigint data types in the background. You can store both positive and negative values. In the integer data type, we can store numbers without any decimal values. Postgres provides the following data types for different scenarios. Postgres data types for values containing numbers Let’s explore the different Postgres data types, their range and supported values. PostgreSQL supports a wide range of data types for various data requirements. The rule of thumb is to choose a data type for your table column that closely matches the column’s values. Instead, database professionals must use the appropriate data type and length.

For example, you cannot insert strings of data in a column having an integer data type (more on this to come).

A relational database ensures that valid values are stored in a column by specifying its data type. These data types define the data format and their range of values. Each table has one or more columns and each column has a specific assigned data type. Relational databases organize data into tables, which are made up of rows and columns. In this article, we will cover the various Postgres data types and how they are used.

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