How COALESCE works in Teradata?

How COALESCE works in Teradata?

Teradata COALESCE is used for NULL handling. The COALESCE is a statement that returns the first non-null value of the expression. It returns NULL if all the arguments of the expression evaluate to NULL.

What is NVL in Teradata?

Teradata NVL functions replaces a NULL value with a numeric or a string value. The NVL function works on data from an expression or a value from input column. This function returns the first argument if it is not null, otherwise the second argument. The Teradata NVL function is equivalent to Teradata COALESCE function.

How does the case statement work in Teradata?

Teradata CASE statement provides the flexibility to fetch alternate values for a column base on the condition specified in the expression. CASE expression evaluates each row against a condition or WHEN clause and returns the result of the first match if there are no matches, then the result from the ELSE part of the return.

How to use case and coalesce in Teradata?

Teradata – CASE and COALESCE 1 CASE Expression. CASE expression evaluates each row against a condition or WHEN clause and returns the result of the first match. 2 COALESCE. COALESCE is a statement that returns the first non-null value of the expression. 3 NULLIF. NULLIF statement returns NULL if the arguments are equal.

When to move control to end case in Teradata?

If the value expression or conditional expression of a CASE statement raises an exception and the stored procedure contains a CONTINUE handler to handle the exception condition, the control moves to the statement following END CASE, after the condition handler action completes successfully.

What is a boolean condition in case Teradata?

A boolean condition used to determine whether a statement or statements in the THEN clause should be executed. You can specify stored procedure local variables, status variables, IN or INOUT parameters, literals, and FOR loop column and correlation names in the conditional_expression. OUT parameters and subqueries are not allowed.