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Returns true if the map contains the key.
Syntax
from pyspark.sql import functions as sf
sf.map_contains_key(col, value)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or str |
The name of the column or an expression that represents the map. |
value |
Any | A literal value, or a Column expression. |
Returns
pyspark.sql.Column: True if key is in the map and False otherwise.
Examples
Example 1: The key is in the map
from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, 'a', 2, 'b') as data")
df.select(sf.map_contains_key("data", 1)).show()
+-------------------------+
|map_contains_key(data, 1)|
+-------------------------+
| true|
+-------------------------+
Example 2: The key is not in the map
from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, 'a', 2, 'b') as data")
df.select(sf.map_contains_key("data", -1)).show()
+--------------------------+
|map_contains_key(data, -1)|
+--------------------------+
| false|
+--------------------------+
Example 3: Check for key using a column
from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, 'a', 2, 'b') as data, 1 as key")
df.select(sf.map_contains_key("data", sf.col("key"))).show()
+---------------------------+
|map_contains_key(data, key)|
+---------------------------+
| true|
+---------------------------+