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https://issues.apache.org/jira/browse/SPARK-61054?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61054:
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Fix Version/s: connect-rust-4.3.0
> Take the arguments of spark.range and of the table-valued functions of
> spark.tvf in the Python client as PySpark does
> ---------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61054
> URL: https://issues.apache.org/jira/browse/SPARK-61054
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{spark.range(start, end, step, numPartitions)}} and
> {{spark.tvf.range}} take the {{int()}} of their arguments, such as
> {{spark.range("3")}} and {{spark.range(2.7)}}. The functions of
> {{spark.tvf}}, such as {{explode}}, {{inline}}, {{json_tuple}} and {{stack}},
> take Columns or column names, as {{F._to_col}} does, else
> {{NOT_EXPECTED_TYPE}} of {{col}}.
> The Rust-backed Python client raises a {{TypeError}} for arguments of
> {{range}} that are not ints, and takes the arguments of {{spark.tvf}} as
> literals: {{spark.tvf.json_tuple(json, "a")}} takes the string "a" rather
> than the column {{a}}, and {{spark.tvf.explode([1, 2])}} explodes an array of
> the list rather than raising. Take them as PySpark does.
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