Low severityquery
Power BI Refresh Error:
WRONG_NUM_ARGS
What does this error mean?
A function call was made with the wrong number of arguments. Spark SQL validates argument counts at parse time and rejects queries that do not match the function signature.
Common causes
- 1Calling a built-in function with too few or too many arguments, e.g. `DATE_TRUNC()` missing the unit argument
- 2Invoking a user-defined function (UDF) or registered function with an incorrect number of parameters
- 3Copy-paste errors when adapting SQL from another dialect (MySQL, PostgreSQL) where argument order or count differs
- 4Macro or templated SQL generating a function call with a variable-length argument list that evaluates to the wrong count
- 5Calling `COALESCE` or `GREATEST` with zero arguments
How to fix it
- 1Check the official Databricks function reference for the correct signature
- 2Run `DESCRIBE FUNCTION EXTENDED <function_name>` in a SQL warehouse to see the expected argument list
- 3If using a UDF, review the Python/Scala function definition for the expected parameter count
- 4Update templated SQL to ensure all variable expansions produce the correct number of arguments
- 5Compare the function name against equivalent functions in other SQL dialects to catch naming/signature differences