Merk
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Computes the ceiling of the given value. Supports Spark Connect.
For the corresponding Databricks SQL function, see ceiling function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.ceiling(col=<col>, scale=<scale>)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
pyspark.sql.Column or column name |
The target column or column name to compute the ceiling on. |
scale |
pyspark.sql.Column or int |
An optional parameter to control the rounding behavior. |
Returns
pyspark.sql.Column: A column for the computed results.
Examples
from pyspark.databricks.sql import functions as dbf
spark.range(1).select(dbf.ceiling(dbf.lit(-0.1))).show()
+-------------+
|ceiling(-0.1)|
+-------------+
| 0|
+-------------+
from pyspark.databricks.sql import functions as dbf
spark.range(1).select(dbf.ceiling(dbf.lit(-0.1), 1)).show()
+----------------+
|ceiling(-0.1, 1)|
+----------------+
| -0.1|
+----------------+