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https://issues.apache.org/jira/browse/SPARK-61225?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61225:
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Fix Version/s: connect-rust-4.3.0
> Collecting a map whose key type is a user-defined type fails with TypeError
> ---------------------------------------------------------------------------
>
> Key: SPARK-61225
> URL: https://issues.apache.org/jira/browse/SPARK-61225
> 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
>
>
> collect(), toLocalIterator(), head(), first() and take() of a DataFrame with
> a MapType whose key is a UDT (for example MapType(PointUDT(), IntegerType()))
> raise "TypeError: unhashable type: 'list'" in the Python client. The Rust
> side builds the dict from the raw storage key (a list) before the UDT
> converter runs. PySpark deserializes each key with the UDT first and returns
> {(1.0, 2.0): 1}. Map values of a UDT already work. Maps nested in arrays,
> structs and map values are affected too. Plain array-keyed maps raise the
> same TypeError in both clients and are unchanged.
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