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Make DayTimeIntervalType duration from days, hours, mins and secs.
For the corresponding Databricks SQL function, see make_dt_interval function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.make_dt_interval(days=<days>, hours=<hours>, mins=<mins>, secs=<secs>)
Parameters
| Parameter | Type | Description |
|---|---|---|
days |
pyspark.sql.Column or str, optional |
The number of days, positive or negative. |
hours |
pyspark.sql.Column or str, optional |
The number of hours, positive or negative. |
mins |
pyspark.sql.Column or str, optional |
The number of minutes, positive or negative. |
secs |
pyspark.sql.Column or str, optional |
The number of seconds with the fractional part in microsecond precision. |
Returns
pyspark.sql.Column: A new column that contains a DayTimeIntervalType duration.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([[1, 12, 30, 01.001001]], ['day', 'hour', 'min', 'sec'])
df.select('*', dbf.make_dt_interval(df.day, df.hour, df.min, df.sec)).show(truncate=False)
df = spark.createDataFrame([[1, 12, 30, 01.001001]], ['day', 'hour', 'min', 'sec'])
df.select('*', dbf.make_dt_interval(df.day, 'hour', df.min)).show(truncate=False)
df = spark.createDataFrame([[1, 12, 30, 01.001001]], ['day', 'hour', 'min', 'sec'])
df.select('*', dbf.make_dt_interval(df.day, df.hour)).show(truncate=False)
df = spark.createDataFrame([[1, 12, 30, 01.001001]], ['day', 'hour', 'min', 'sec'])
df.select('*', dbf.make_dt_interval('day')).show(truncate=False)
spark.range(1).select(dbf.make_dt_interval()).show(truncate=False)