kll_sketch_get_quantile_bigint
Extracts a quantile value from a KLL bigint sketch given an input rank value. The rank can be a single value or an array.
Syntax
Python
from pyspark.sql import functions as sf
sf.kll_sketch_get_quantile_bigint(sketch, rank)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| The KLL bigint sketch binary representation. |
|
| The rank value(s) to extract (between 0.0 and 1.0). |
Returns
pyspark.sql.Column: The quantile value(s).
Examples
Example 1: Get quantile from KLL bigint sketch
Python
from pyspark.sql import functions as sf
df = spark.createDataFrame([1,2,3,4,5], "INT")
sketch_df = df.agg(sf.kll_sketch_agg_bigint("value").alias("sketch"))
sketch_df.select(sf.kll_sketch_get_quantile_bigint("sketch", sf.lit(0.5))).show()
Output
+-------------------------------------------+
|kll_sketch_get_quantile_bigint(sketch, 0.5)|
+-------------------------------------------+
| 3|
+-------------------------------------------+