pyspark.sql.functions.tuple_union_integer#

pyspark.sql.functions.tuple_union_integer(col1, col2, lgNomEntries=None, mode=None)[source]#

Returns the union of two Datasketches TupleSketch objects with integer summaries.

New in version 4.2.0.

Parameters

col1Column or column name: The first TupleSketch column
col2Column or column name: The second TupleSketch column
lgNomEntriesColumn or int, optional: The log-base-2 of nominal entries (must be between 4 and 26, defaults to 12)
modeColumn or str, optional: The summary mode: “sum” (default), “min”, “max”, or “alwaysone”

Returns

Column: The binary representation of the merged TupleSketch.

See also

pyspark.sql.functions.tuple_sketch_agg_integer()
pyspark.sql.functions.tuple_union_agg_integer()
pyspark.sql.functions.tuple_intersection_integer()

Examples

>>> from pyspark.sql import functions as sf
>>> df = spark.createDataFrame([(1, 10, 3, 30), (2, 20, 4, 40)], ["key1", "v1", "key2", "v2"])  # noqa
>>> df = df.agg(
...     sf.tuple_sketch_agg_integer("key1", "v1").alias("sketch1"),
...     sf.tuple_sketch_agg_integer("key2", "v2").alias("sketch2")
... )
>>> df.select(sf.tuple_sketch_estimate_integer(sf.tuple_union_integer(df.sketch1, "sketch2"))).show()  # noqa
+-----------------------------------------------------------------------------+
|tuple_sketch_estimate_integer(tuple_union_integer(sketch1, sketch2, 12, sum))|
+-----------------------------------------------------------------------------+
|                                                                          4.0|
+-----------------------------------------------------------------------------+