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https://issues.apache.org/jira/browse/SPARK-61154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61154:
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Labels: pull-request-available (was: )
> Raise VALUE_NOT_BETWEEN for a literal of an int beyond the range of a long,
> in the Python client as PySpark does
> ----------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61154
> URL: https://issues.apache.org/jira/browse/SPARK-61154
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> A Python int outside the int64 range became a double in the Python drop-in,
> so comparisons were silently wrong: df.where(F.col("a") == 2**63) returned
> the rows 9223372036854775807 and 9223372036854775806, and lit(2**70) was a
> double.
> PySpark's LiteralExpression._infer_type raises PySparkValueError
> VALUE_NOT_BETWEEN (arg_name "value", min -9223372036854775808, max 32767) for
> such an int, and fillna raises ValueError "Value out of range" for it.
> The fix applies to every literal path of the drop-in (lit, Column operators,
> isin, between, when, arrays, pivot values); createDataFrame already matched
> PySpark (OverflowError).
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