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Resolved! Interoperability Spark ↔ Pandas: can't convert Spark dataframe to Pandas dataframe via df.toPandas() when it contains datetime value in distant future
Hi,I have multiple datasets in my data lake that feature valid_from and valid_to columns indicating validity of rows.If a row is valid currently, this is indicated by valid_to=9999-12-31 00:00:00.Example:Loading this into a Spark dataframe works fine...
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Currently, out of bound timestamps are not supported in pyArrow/pandas. Please refer to the below associated JIRA issue. https://issues.apache.org/jira/browse/ARROW-5359?focusedCommentId=17104355&page=com.atlassian.jira.plugin.system.issuetabpanels%3...
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