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https://issues.apache.org/jira/browse/SPARK-36000?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17383667#comment-17383667
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Xinrong Meng commented on SPARK-36000:
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We might want to support spark.createDataFrame(data=[decimal.Decimal('NaN')],
schema='decimal') first.
> Support creating a ps.Series/Index with `Decimal('NaN')` with Arrow disabled
> ----------------------------------------------------------------------------
>
> Key: SPARK-36000
> URL: https://issues.apache.org/jira/browse/SPARK-36000
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Xinrong Meng
> Priority: Major
>
>
> {code:java}
> >>> import decimal as d
> >>> import pyspark.pandas as ps
> >>> import numpy as np
> >>> ps.utils.default_session().conf.set('spark.sql.execution.arrow.pyspark.enabled',
> >>> True)
> >>> ps.Series([d.Decimal(1.0), d.Decimal(2.0), d.Decimal(np.nan)])
> 0 1
> 1 2
> 2 None
> dtype: object
> >>> ps.utils.default_session().conf.set('spark.sql.execution.arrow.pyspark.enabled',
> >>> False)
> >>> ps.Series([d.Decimal(1.0), d.Decimal(2.0), d.Decimal(np.nan)])
> 21/07/02 15:01:07 ERROR Executor: Exception in task 6.0 in stage 13.0 (TID 51)
> net.razorvine.pickle.PickleException: problem construction object:
> java.lang.reflect.InvocationTargetException
> ...
> {code}
> As the code is shown above, we cannot create a Series with `Decimal('NaN')`
> when Arrow disabled. We ought to fix that.
>
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