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Dimitry
New Contributor III
since ‎05-15-2025
Online

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  • 9 Posts
  • 1 Solutions
  • 1 Kudos given
  • 1 Kudos received

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Hi all I have 2 clusters, that look identical but one runs my UDF in parallel another one does not.The ones that do is personal, the bad one is shared.import pandas as pd from datetime import datetime from time import sleep import threading # test f...
I've got an UDF which I call using applyInPandasThat UDF is to distribute API calls.It uses my custom .py library files that make these calls.Everything worked until I use `dbutils.widgets.get` and `dbutils.secrets.get` inside these libraries.It thro...
I've read all relevant articles but none have solution that I could understand. Sorry I'm new to it.I have a simple UDF to demonstrate the problem:df = spark.createDataFrame([(1, 1.0, 'a'), (1, 2.0, 'b'), (2, 3.0, 'c'), (2, 5.0, 'd'), (2, 10.0, 'e')]...
Hi allI'm trialing Databricks for running complex python integration scripts. It will be different data sources (MS SQL, CSV files etc.) that I need to push to a target system via GraphQL. So I selected Databricks vs MS Fabric as it can handle comple...
Hi allI'm switching to evaluating Databricks after being unhappy with Microsoft Fabric.I'm looking for a platform to aggregate external files and tables, do processing and push into 3rd party using GraphQL. That push is going to be quite sophisticate...
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