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Returns the sum calculated from values of a group and the result is null on overflow.
Syntax
from pyspark.sql import functions as sf
sf.try_sum(col)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or column name |
Target column to compute on. |
Examples
Example 1: Calculating the sum of values in a column
from pyspark.sql import functions as sf
spark.range(10).select(sf.try_sum("id")).show()
+-----------+
|try_sum(id)|
+-----------+
| 45|
+-----------+
Example 2: Using a plus expression together to calculate the sum
from pyspark.sql import functions as sf
df = spark.createDataFrame([(1, 2), (3, 4)], ["A", "B"])
df.select(sf.try_sum(sf.col("A") + sf.col("B"))).show()
+----------------+
|try_sum((A + B))|
+----------------+
| 10|
+----------------+
Example 3: Calculating the summation of ages with None
import pyspark.sql.functions as sf
df = spark.createDataFrame([(1982, None), (1990, 2), (2000, 4)], ["birth", "age"])
df.select(sf.try_sum("age")).show()
+------------+
|try_sum(age)|
+------------+
| 6|
+------------+