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snowflake.snowpark.functions.approx_count_distinct

snowflake.snowpark.functions.approx_count_distinct(e: Union[Column, str]) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.16.0/src/snowflake/snowpark/functions.py#L623-L639)

Uses HyperLogLog to return an approximation of the distinct cardinality of the input (i.e. HLL(col1, col2, … ) returns an approximation of COUNT(DISTINCT col1, col2, … )).

Example::
>>> df = session.create_dataframe([[1, 2], [3, 4], [5, 6]], schema=["a", "b"])
>>> df.select(approx_count_distinct("a").alias("result")).show()
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|"RESULT"  |
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|3         |
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