Which ones are the correct rules while using a data science model created via External function in Snowflake?
From the perspective of a user running a SQL statement, an external function behaves like any other UDF . External functions follow these rules:
External functions return a value.
External functions can accept parameters.
An external function can appear in any clause of a SQL statement in which other types of UDF can appear. For example:
1. select my_external_function_2(column_1, column_2)
2. from table_1;
1. select col1
2. from table_1
3. where my_external_function_3(col2) < 0;
1. create view view1 (col1) as
2. select my_external_function_5(col1)
3. from table9;
An external function can be part of a more complex expression:
1. select upper(zipcode_to_city_external_function(zipcode))
2. from address_table;
The returned value can be a compound value, such as a VARIANT that contains JSON.
External functions can be overloaded; two different functions can have the same name but different signatures (different numbers or data types of input parameters).
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