Summary of Functions¶
Snowflake supports most of the standard functions defined in SQL:1999, as well as parts of the SQL:2003 analytic extensions.
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.
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 are aggregate functions that can operate on a subset of rows within the set of input rows.
Snowflake supports many Table Functions to obtain information about Snowflake features and services.
For a complete summary, see List of System-Defined Table 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:
Snowflake also supports Writing External Functions, which are stored and executed outside Snowflake.