HyukjinKwon commented on a change in pull request #29743:
URL: https://github.com/apache/spark/pull/29743#discussion_r487597235
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/CountMinSketchAgg.scala
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@@ -37,15 +37,22 @@ import org.apache.spark.util.sketch.CountMinSketch
* @param confidenceExpression confidence, must be positive and less than 1.0
* @param seedExpression random seed
*/
+// scalastyle:off nonascii
@ExpressionDescription(
usage = """
_FUNC_(col, 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.
""",
+ examples = """
+ Examples:
+ > SELECT _FUNC_(col, 0.1d, 0.9d, 0) FROM VALUES (1), (2), (1) AS
tab(col);
+ ]�Z0jl����M��_
+ """,
Review comment:
cc @viirya FYI
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