make_timestamp

Create timestamp from years, months, days, hours, mins, secs, and (optional) timezone fields. Alternatively, create timestamp from date, time, and (optional) timezone fields. The result data type is consistent with the value of configuration spark.sql.timestampType. If the configuration spark.sql.ansi.enabled is false, the function returns NULL on invalid inputs. Otherwise, it will throw an error instead.

For the corresponding Databricks SQL function, see make_timestamp function.

Syntax

import pyspark.sql.functions as sf

# From individual components
sf.make_timestamp(years=<years>, months=<months>, days=<days>, hours=<hours>, mins=<mins>, secs=<secs>)

# With timezone
sf.make_timestamp(years=<years>, months=<months>, days=<days>, hours=<hours>, mins=<mins>, secs=<secs>, timezone=<timezone>)

# From date and time
sf.make_timestamp(date=<date>, time=<time>)

# From date and time with timezone
sf.make_timestamp(date=<date>, time=<time>, timezone=<timezone>)

Parameters

Parameter	Type	Description
years	pyspark.sql.Column or str	The year to represent, from 1 to 9999. Required when creating timestamps from individual components. Must be used with months, days, hours, mins, and secs.
months	pyspark.sql.Column or str	The month-of-year to represent, from 1 (January) to 12 (December). Required when creating timestamps from individual components. Must be used with years, days, hours, mins, and secs.
days	pyspark.sql.Column or str	The day-of-month to represent, from 1 to 31. Required when creating timestamps from individual components. Must be used with years, months, hours, mins, and secs.
hours	pyspark.sql.Column or str	The hour-of-day to represent, from 0 to 23. Required when creating timestamps from individual components. Must be used with years, months, days, mins, and secs.
mins	pyspark.sql.Column or str	The minute-of-hour to represent, from 0 to 59. Required when creating timestamps from individual components. Must be used with years, months, days, hours, and secs.
secs	pyspark.sql.Column or str	The second-of-minute and its micro-fraction to represent, from 0 to 60. The value can be either an integer like 13, or a fraction like 13.123. If the sec argument equals to 60, the seconds field is set to 0 and 1 minute is added to the final timestamp. Required when creating timestamps from individual components. Must be used with years, months, days, hours, and mins.
timezone	pyspark.sql.Column or str	Optional. The time zone identifier. For example, CET, UTC, and etc.
date	pyspark.sql.Column or str	The date to represent, in valid DATE format. Required when creating timestamps from date and time components. Must be used with time parameter only.
time	pyspark.sql.Column or str	The time to represent, in valid TIME format. Required when creating timestamps from date and time components. Must be used with date parameter only.

Returns

pyspark.sql.Column: A new column that contains a timestamp.

Examples

Example 1: Make timestamp from years, months, days, hours, mins, secs, and timezone.

import pyspark.sql.functions as sf
df = spark.createDataFrame([[2014, 12, 28, 6, 30, 45.887, 'CET']],
    ['year', 'month', 'day', 'hour', 'min', 'sec', 'tz'])
df.select(
    sf.make_timestamp(df.year, df.month, df.day, 'hour', df.min, df.sec, 'tz')
).show(truncate=False)

+----------------------------------------------------+
|make_timestamp(year, month, day, hour, min, sec, tz)|
+----------------------------------------------------+
|2014-12-27 21:30:45.887                             |
+----------------------------------------------------+

Example 2: Make timestamp from years, months, days, hours, mins, and secs (without timezone).

import pyspark.sql.functions as sf
df = spark.createDataFrame([[2014, 12, 28, 6, 30, 45.887]],
    ['year', 'month', 'day', 'hour', 'min', 'sec'])
df.select(
    sf.make_timestamp('year', 'month', df.day, df.hour, df.min, df.sec)
).show(truncate=False)

+--------------------------------------------------+
|make_timestamp(year, month, day, hour, min, sec) |
+--------------------------------------------------+
|2014-12-28 06:30:45.887                           |
+--------------------------------------------------+

Example 3: Make timestamp from date and time with timezone.

import pyspark.sql.functions as sf
from datetime import date, time
df = spark.range(1).select(
    sf.lit(date(2014, 12, 28)).alias("date"),
    sf.lit(time(6, 30, 45, 887000)).alias("time"),
    sf.lit("CET").alias("tz")
)
df.select(sf.make_timestamp(date=df.date, time=df.time, timezone=df.tz)).show(truncate=False)

+------------------------------------+
|make_timestamp(date, time, timezone)|
+------------------------------------+
|2014-12-27 21:30:45.887             |
+------------------------------------+

Example 4: Make timestamp from date and time (without timezone).

import pyspark.sql.functions as sf
from datetime import date, time
df = spark.range(1).select(
    sf.lit(date(2014, 12, 28)).alias("date"),
    sf.lit(time(6, 30, 45, 887000)).alias("time")
)
df.select(sf.make_timestamp(date=df.date, time=df.time)).show(truncate=False)

+--------------------------+
|make_timestamp(date, time)|
+--------------------------+
|2014-12-28 06:30:45.887   |
+--------------------------+