Summary of Functions¶
Snowflake supports most of the standard functions defined in SQL:1999, as well as parts of the SQL:2003 analytic extensions.
In this Topic:
Scalar Functions¶
A scalar function is a function that returns one value per invocation; in most cases, you can think of this as returning one value per row. This contrasts with Aggregate Functions, which return one value per group of rows.
For a complete list of scalar function categories, see Scalar Functions.
Aggregate Functions¶
Snowflake supports aggregate functions to operate on values across rows to perform mathematical calculations such as sum, average, counting, minimum/maximum values, standard deviation, and estimation, as well as some non-mathematical operations.
For a complete list, see Aggregate Functions.
Window Functions¶
Window functions are aggregate functions that can operate on a subset of rows within the set of input rows.
Table Functions¶
Snowflake supports many Table Functions to obtain information about Snowflake features and services.
For a complete summary, see List of System-Defined Table Functions.
System Functions¶
For a complete list of system functions, see System Functions.
User-defined Functions (UDFs)¶
In addition to the system-defined functions provided by Snowflake, users can create functions. Snowflake supports the following types of UDFs:
External Functions¶
Snowflake also supports External Functions, which are stored and executed outside Snowflake.