नोट
इस पेज तक पहुँच के लिए प्रमाणन की आवश्यकता होती है. आप साइन इन करने या निर्देशिकाओं को बदलने का प्रयास कर सकते हैं.
इस पेज तक पहुँच के लिए प्रमाणन की आवश्यकता होती है. आप निर्देशिकाओं को बदलने का प्रयास कर सकते हैं.
Applies to: 
Databricks SQL Databricks Runtime 11.3 LTS and above
Returns the mean of xExpr calculated from values of a group where xExpr and yExpr are NOT NULL.
Syntax
regr_avgx( [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 xExpr:
DECIMAL(p, s): The result type is aDECIMAL(p + 4, s + 4). If the maximum precision forDECIMALis 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_avgx(y, x) is a synonym for avg(x) FILTER(WHERE x IS NOT NULL AND y IS NOT NULL).
Examples
> SELECT regr_avgx(y, x) FROM VALUES (1, 2), (2, 3), (2, 3), (null, 4), (4, null) AS T(y, x);
2.6666666666666665