Jaa

regr_avgy aggregate function

  • Artikkeli

Applies to: check marked yes Databricks SQL check marked yes Databricks Runtime 11.3 LTS and above

Returns the mean of yExpr calculated from values of a group where xExpr and yExpr are NOT NULL.

Syntax

regr_avgy( [ALL | DISTINCT] yExpr, xExpr) [FILTER ( WHERE cond ) ]

This function can also be invoked as a window function using the OVER clause.

Arguments

  • yExpr: A numeric expression, the dependent variable.
  • xExpr: A numeric expression, the independent variable.
  • cond: An optional Boolean expression filtering the rows used for the function.

Returns

The result type depends on the type of yExpr:

  • DECIMAL(p, s): The result type is a DECIMAL(p + 4, s + 4)``. If the maximum precision for ``DECIMAL is reached the increase in scale will be limited to avoid loss of significant digits.
  • Otherwise, the result is a DOUBLE.

Any nulls within the group are ignored. If a group is empty or consists only of nulls, the result is NULL.

If DISTINCT is specified the average is computed after duplicates have been removed.

regr_avgy(y, x) is a synonym for avg(y) FILTER(WHERE x IS NOT NULL AND y IS NOT NULL).

Examples

> SELECT regr_avgy(y, x) FROM VALUES (1, 2), (2, 3), (2, 3), (null, 4), (4, null) AS T(y, x);
  1.6666666666666667