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https://issues.apache.org/jira/browse/SPARK-61065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-61065:
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Assignee: Hyukjin Kwon
> Export the names of PySpark from pyspark.sql.functions, and type the literals
> of NumPy scalars, in the Rust client as PySpark does
> ----------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61065
> URL: https://issues.apache.org/jira/browse/SPARK-61065
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: 5.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
>
> `from pyspark.sql.functions import *` exports 18 names that PySpark 4.3.0
> does not, which shadow the builtin chr and the stdlib modules random and
> uuid, and pyspark.sql.functions has from_avro and to_avro, which PySpark does
> not (they are in pyspark.sql.avro.functions). lit() of NumPy scalars types
> them wrongly: np.int64 as int instead of bigint, np.float32 as double instead
> of float, and unsigned ints as int where PySpark raises UNSUPPORTED_DATA_TYPE.
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