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Aggregate function: returns the compact binary representation of the Datasketches ThetaSketch that is the intersection of the Theta sketches in the input column.
Syntax
from pyspark.databricks.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 ThetaSketch.
Examples
from pyspark.databricks.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|
+-----------------------------------------------------+