zhengruifeng commented on code in PR #48157:
URL: https://github.com/apache/spark/pull/48157#discussion_r1766148590
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sql/api/src/main/scala/org/apache/spark/sql/functions.scala:
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@@ -389,6 +389,18 @@ object functions {
def count_min_sketch(e: Column, eps: Column, confidence: Column, seed:
Column): Column =
Column.fn("count_min_sketch", e, eps, confidence, seed)
+ /**
+ * Returns a count-min sketch of a column with the given esp, confidence and
seed. The result is
+ * an array of bytes, which can be deserialized to a `CountMinSketch` before
usage. Count-min
+ * sketch is a probabilistic data structure used for cardinality estimation
using sub-linear
+ * space.
+ *
+ * @group agg_funcs
+ * @since 4.0.0
+ */
+ def count_min_sketch(e: Column, eps: Column, confidence: Column): Column =
+ count_min_sketch(e, eps, confidence, lit(SparkClassUtils.random.nextInt))
Review Comment:
@HyukjinKwon it seems we don't have a separate `functions.scala` for Scala
client now, after a lot of refactoring?
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