52. Timestamp Functions in PySpark | Azure Databricks

In this video, I discussed about Timestamp functions current_timestamp(), to_timestamp(), hour(), minute(), second().
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[@onlineaccount-wh2yx]

Hi, I completed your Pyspark,Databricks playlist.Thank you so much for making these. Can you please do videos on how to build pipelines in Databricks

[@user-ny7vp3rl4b]

I am trying to_timestamp and passing format MM.dd.yyyy a z. Time is getting converted to utc. But the month itself is getting changed in databricks. Example: Bronze table date: 10-23-2024 03:03:00 am edt After using to_timestamp for silver Date: 01-23-2024 07:03:00 Not sure why the month is getting changed. Please respond. It's kind of urgent

[@manu77564]

Hi bhaiii..... Last time I asked to you about this timstamp and date functions . Thanks ton.

[@rajeshd9925]

Bro can you talk about timestampdiff() function in pyspark. In my search it seems this function not available in pyspark. If it is yes, what might be the alternative?

[@RasikaDeshmukh-f9x]

Hi, I want timestamp column in this format in HH:MM:SS but after formatting it is converting to a string as datatype. How to keep timestamp datatype intact with required format. from pyspark.sql import functions as F spark_df = spark_df.withColumn( "time_of_installation",F.to_timestamp(F.col("time_of_installation"), "HH:mm:ss") )

[@polakigowtam183]

Thank you.

[@SanjeevKumar-rz4ni]

I want to achive this what I shared in below