regr_count aggregate function

Applies to: Databricks SQL Databricks Runtime 11.3 LTS and above

Returns the number of non-null value pairs yExpr, xExpr in the group.

Syntax

regr_count ( [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

A BIGINT.

regr_count(yExpr, xExpr) is equivalent to count_if(yExpr IS NOT NULL AND xExpr IS NOT NULL).

If DISTINCT is specified, only unique rows are counted.

Examples

> SELECT regr_count(y, x) FROM VALUES (1, 2), (2, 2), (2, 3), (2, 4) AS t(y, x);
  4

> SELECT regr_count(y, x) FROM VALUES (1, 2), (2, NULL), (2, 3), (2, 4) AS t(y, x);
  3

> SELECT regr_count(y, x) FROM VALUES (1, 2), (2, NULL), (NULL, 3), (2, 4) AS t(y, x);
  2

Related

• avg aggregate function
• count aggregate function
• count_if aggregate function
• min aggregate function
• max aggregate function
• regr_avgx aggregate function
• regr_avgy aggregate function
• regr_sxx aggregate function
• regr_sxy aggregate function
• regr_syy aggregate function
• sum aggregate function
• Window functions