[
https://issues.apache.org/jira/browse/SPARK-42857?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xinrong Meng updated SPARK-42857:
---------------------------------
Description:
To reproduce:
{code:sh}
>>> from decimal import Decimal
>>> spark.createDataFrame([Decimal(1.123)])
Traceback (most recent call last):
...
pyarrow.lib.ArrowInvalid: Rescaling Decimal128 value would cause data loss
>>>
{code}
The version of PyArrow is 10.0.1; the issue doesn't exist in vanilla PySpark
with the same PyArrow version.
was:
To reproduce:
```
>>> from decimal import Decimal
>>> spark.createDataFrame([Decimal(1.123)])
Traceback (most recent call last):
...
pyarrow.lib.ArrowInvalid: Rescaling Decimal128 value would cause data loss
>>>
```
The version of PyArrow is 10.0.1; the issue doesn't exist in vanilla PySpark
with the same PyArrow version.
> Unable to CreateDataFrame from Decimal128
> -----------------------------------------
>
> Key: SPARK-42857
> URL: https://issues.apache.org/jira/browse/SPARK-42857
> Project: Spark
> Issue Type: Story
> Components: Connect, PySpark
> Affects Versions: 3.4.0
> Reporter: Xinrong Meng
> Priority: Major
>
> To reproduce:
> {code:sh}
> >>> from decimal import Decimal
> >>> spark.createDataFrame([Decimal(1.123)])
> Traceback (most recent call last):
> ...
> pyarrow.lib.ArrowInvalid: Rescaling Decimal128 value would cause data loss
> >>>
> {code}
> The version of PyArrow is 10.0.1; the issue doesn't exist in vanilla PySpark
> with the same PyArrow version.
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