bit_and

Returns the bitwise AND of all non-null input values, or null if none.

Syntax

from pyspark.sql import functions as sf

sf.bit_and(col)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or column name	Target column to compute on.

Returns

pyspark.sql.Column: the bitwise AND of all non-null input values, or null if none.

Examples

Example 1: Bitwise AND with all non-null values

from pyspark.sql import functions as sf
df = spark.createDataFrame([[1],[1],[2]], ["c"])
df.select(sf.bit_and("c")).show()

+----------+
|bit_and(c)|
+----------+
|         0|
+----------+

Example 2: Bitwise AND with null values

from pyspark.sql import functions as sf
df = spark.createDataFrame([[1],[None],[2]], ["c"])
df.select(sf.bit_and("c")).show()

+----------+
|bit_and(c)|
+----------+
|         0|
+----------+

Example 3: Bitwise AND with all null values

from pyspark.sql import functions as sf
from pyspark.sql.types import IntegerType, StructType, StructField
schema = StructType([StructField("c", IntegerType(), True)])
df = spark.createDataFrame([[None],[None],[None]], schema=schema)
df.select(sf.bit_and("c")).show()

+----------+
|bit_and(c)|
+----------+
|      NULL|
+----------+

Example 4: Bitwise AND with single input value

from pyspark.sql import functions as sf
df = spark.createDataFrame([[5]], ["c"])
df.select(sf.bit_and("c")).show()

+----------+
|bit_and(c)|
+----------+
|         5|
+----------+