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Ancil
by • Contributor II
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PythonException: 'RuntimeError: The length of output in Scalar iterator pandas UDF should be the same with the input's; however, the length of output was 1 and the length of input was 2.'.

I have pandas_udf, its working for 4 rows, but I tried with more than 4 rows getting below error.PythonException: 'RuntimeError: The length of output in Scalar iterator pandas UDF should be the same with the input's; however, the length of output was...

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Ancil
Contributor II
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@Kaniz Fatma​  Can you please help me on pandas_udf ?Above scenario I have used regular expressions, for that we have our spark method, but I have other pandas_udf have same issue.

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Ancil
by • Contributor II
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Resolved! PythonException: 'RuntimeError: The length of output in Scalar iterator pandas UDF should be the same with the input's; however, the length of output was 1 and the length of input was 2.'.

I have pandas_udf, its working for 1 rows, but I tried with more than one rows getting below error.PythonException: 'RuntimeError: The length of output in Scalar iterator pandas UDF should be the same with the input's; however, the length of output w...

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Hubert-Dudek
Esteemed Contributor III
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I was testing, and your function is correct. So you need to have an error in inputData type (is all string) or with result_json. Please also check the runtime version. I was using 11 LTS. 

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curious-case-of
by • New Contributor II
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Resolved! Databricks notebook taking too long to run as a job compared to when triggered from within the notebook

I don't know if this question has been covered earlier, but here it goes - I have a notebook that I can run manually using the 'Run' button in the notebook or as a job.The runtime when I run from within the notebook directly is roughly 2 hours. But w...

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wvl
New Contributor II
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We're seeing the same behavior.. Good performance using interactive cluster.Using identically sized job cluster, performance is bad. Any ideas?

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