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Parses the timestamp with the format to a timestamp with time zone. Returns null with invalid input.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.to_timestamp_ltz(timestamp=<timestamp>, format=<format>)
Parameters
| Parameter | Type | Description |
|---|---|---|
timestamp |
pyspark.sql.Column or str |
Input column or strings. |
format |
pyspark.sql.Column or str, optional |
format to use to convert type TimestampType timestamp values. |
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08 12:12:12',)], ['ts'])
df.select('*', dbf.to_timestamp_ltz('ts')).show()
df = spark.createDataFrame([('2016-12-31',)], ['dt'])
df.select('*', dbf.to_timestamp_ltz(df.dt, dbf.lit('yyyy-MM-dd'))).show()
df = spark.createDataFrame(
[('2015-04-08', 'yyyy-MM-dd'), ('2025+01+09', 'yyyy+MM+dd')], ['dt', 'fmt'])
df.select('*', dbf.to_timestamp_ltz('dt', 'fmt')).show()