cboumalh commented on code in PR #52551:
URL: https://github.com/apache/spark/pull/52551#discussion_r2430789703


##########
sql/api/src/main/scala/org/apache/spark/sql/functions.scala:
##########
@@ -1242,6 +1253,47 @@ object functions {
   def theta_sketch_agg(columnName: String): Column =
     theta_sketch_agg(Column(columnName))
 
+  /**
+   * Aggregate function: returns the compact binary representation of the 
Datasketches ThetaSketch
+   * built with the values in the input column, configured with `lgNomEntries` 
and `family`.
+   *
+   * @group agg_funcs
+   * @since 4.1.0
+   */
+  def theta_sketch_agg(e: Column, lgNomEntries: Int, family: String): Column =
+    Column.fn("theta_sketch_agg", e, lit(lgNomEntries), lit(family))
+
+  /**
+   * Aggregate function: returns the compact binary representation of the 
Datasketches ThetaSketch
+   * built with the values in the input column, configured with `lgNomEntries` 
and `family`.
+   *
+   * @group agg_funcs
+   * @since 4.1.0
+   */
+  def theta_sketch_agg(columnName: String, lgNomEntries: Int, family: String): 
Column =
+    theta_sketch_agg(Column(columnName), lgNomEntries, family)
+
+  /**
+   * Aggregate function: returns the compact binary representation of the 
Datasketches ThetaSketch
+   * built with the values in the input column, configured with the specified 
`family` and default
+   * lgNomEntries.
+   *
+   * @group agg_funcs
+   * @since 4.1.0
+   */
+  def theta_sketch_agg(e: Column, family: String): Column =
+    theta_sketch_agg(e, 12, family)

Review Comment:
   I'd recommend we remove these two `theta_sketch_agg(columnName: String, 
family: String)` and `theta_sketch_agg(e: Column, family: String)` completely. 
If we later add another argument that is a of `String` type, we'll have 
function overloading ambiguity. Therefore, If a user wants to use a specific 
family, they must also pass in the `lgNomEntries` explicitly. It will keep this 
file cleaner and avoid magic numbers. This will mean we also need to fix both 
builtin.py files to avoid the same phenomenon. I'm open to seeing what others 
have to say about this too.



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