Jonathon Lee created SPARK-48719:
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             Summary: Wrong Result in regr_slope&regr_intercept Aggregate with 
Tuples has NULL
                 Key: SPARK-48719
                 URL: https://issues.apache.org/jira/browse/SPARK-48719
             Project: Spark
          Issue Type: Bug
          Components: Spark Core, SQL
    Affects Versions: 3.4.0
            Reporter: Jonathon Lee


When calculate slope and intercept using regr_slope & regr_intercept aggregate:

(using Java api)
{code:java}
spark.sql("drop table if exists tab");
spark.sql("CREATE TABLE tab(y int, x int) using parquet");
spark.sql("INSERT INTO tab VALUES (1, 1)");
spark.sql("INSERT INTO tab VALUES (2, 3)");
spark.sql("INSERT INTO tab VALUES (3, 5)");
spark.sql("INSERT INTO tab VALUES (NULL, 3)");
spark.sql("INSERT INTO tab VALUES (3, NULL)");
spark.sql("SELECT " +
        "regr_slope(x, y), " +
        "regr_intercept(x, y)" +
        "FROM tab").show(); {code}
Spark result:
{code:java}
+------------------+--------------------+
|  regr_slope(x, y)|regr_intercept(x, y)|
+------------------+--------------------+
|1.4545454545454546| 0.09090909090909083|
+------------------+--------------------+ {code}
The correct answer should be 2.0 and -1.0 obviously.

 

Reason:

In sql/catalyst/expressions/aggregate/linearRegression.scala,

 
{code:java}
case class RegrSlope(left: Expression, right: Expression) extends 
DeclarativeAggregate
  with ImplicitCastInputTypes with BinaryLike[Expression] {

  private val covarPop = new CovPopulation(right, left)

  private val varPop = new VariancePop(right)
...... {code}
CovPopulation will filter tuples which right *OR* left is NULL

But VariancePop will only filter null right expression.

This will cause wrong result when some of the tuples' left is null (and right 
is not null).

Same reason with RegrIntercept.

 

A possible fix:
{code:java}
case class RegrSlope(left: Expression, right: Expression) extends 
DeclarativeAggregate
  with ImplicitCastInputTypes with BinaryLike[Expression] {

  private val covarPop = new CovPopulation(right, left)

  private val varPop = new VariancePop(If(And(IsNotNull(left), 
IsNotNull(right)),
    right, Literal.create(null, right.dataType))) 
.....{code}
 



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