theta_intersection_agg

Aggregate function: returns the compact binary representation of the Datasketches Theta Sketch that is the intersection of the Theta sketches in the input column.

Syntax

from pyspark.sql import functions as dbf

dbf.theta_intersection_agg(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	The column containing Theta sketches to intersect.

Returns

pyspark.sql.Column: The binary representation of the intersected Theta Sketch.

Examples

from pyspark.sql import functions as dbf
df1 = spark.createDataFrame([1,2,2,3], "INT")
df1 = df1.agg(dbf.theta_sketch_agg("value").alias("sketch"))
df2 = spark.createDataFrame([2,3,3,4], "INT")
df2 = df2.agg(dbf.theta_sketch_agg("value").alias("sketch"))
df3 = df1.union(df2)
df3.agg(dbf.theta_sketch_estimate(dbf.theta_intersection_agg("sketch"))).show()

+-----------------------------------------------------+
|theta_sketch_estimate(theta_intersection_agg(sketch))|
+-----------------------------------------------------+
|                                                    2|
+-----------------------------------------------------+