Converting PySpark to Pandas in Synapse results in error

Ganapathy Subramanian 20 Reputation points Microsoft Employee
2024-04-03T13:29:51.66+00:00

I'm new to Synapse but have experience with Python. In the process of converting PySpark to Pandas, I'm encountering an error which reads:

/opt/spark/python/lib/pyspark.zip/pyspark/sql/pandas/conversion.py:201: UserWarning: toPandas attempted Arrow optimization because 'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the error below and can not continue. Note that 'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on failures in the middle of computation.

Does anyone have any suggestions for resolving this issue?

Azure Synapse Analytics
Azure Synapse Analytics
An Azure analytics service that brings together data integration, enterprise data warehousing, and big data analytics. Previously known as Azure SQL Data Warehouse.
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Accepted answer
  1. phemanth 5,175 Reputation points Microsoft Vendor
    2024-04-07T04:18:54.1733333+00:00

    @Ganapathy Subramanian Welcome to Microsoft Q&A platform and thanks for posting your question.

    I'm glad that you were able to resolve your issue and thank you for posting your solution so that others experiencing the same thing can easily reference this! Since the Microsoft Q&A community has a policy that "The question author cannot accept their own answer. They can only accept answers by others "I'll repost your solution in case you'd like to accept the answer.

    Ask: I'm new to Synapse but have experience with Python. In the process of converting PySpark to Pandas, I'm encountering an error which reads:

    /opt/spark/python/lib/pyspark.zip/pyspark/sql/pandas/conversion.py:201: UserWarning: toPandas attempted Arrow optimization because 'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the error below and can not continue. Note that 'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on failures in the middle of computation.

    Does anyone have any suggestions for resolving this issue?

    Solution: Instead of converting whole data to pandas, i changed the plan to convert only the pivot values. This didn't caused the issues & it worked.

    If I missed anything please let me know and I'd be happy to add it to my answer, or feel free to comment below with any additional information.

    If you have any other questions, please let me know. Thank you again for your time and patience throughout this issue.


    Please don’t forget to Accept Answer and Yes for "was this answer helpful" wherever the information provided helps you, this can be beneficial to other community members.

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