52. Timestamp Functions in PySpark | Azure Databricks #spark #pyspark #azuresynapse #databricks

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In this video, I discussed about Timestamp functions current_timestamp(), to_timestamp(), hour(), minute(), second().

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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

onlineaccount-whyx

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")
)

RasikaDeshmukh-fx

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

Thanks ton.

manu

I want to achive this what I shared in below

SanjeevKumar-rzni

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?

rajeshd

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