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https://issues.apache.org/jira/browse/SPARK-60955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-60955.
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Resolution: Fixed
Issue resolved by pull request 175
[https://github.com/apache/spark-connect-rust/pull/175]
> Make pyspark.ml.functions vector_to_array and array_to_vector work in Spark
> Connect Rust
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-60955
> URL: https://issues.apache.org/jira/browse/SPARK-60955
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{pyspark.ml.functions.vector_to_array}} and
> {{array_to_vector}} build their columns through
> {{pyspark.ml.connect.functions}}. The Rust-backed Python client has no
> {{pyspark.ml.connect.functions}}, so every call raises {{ImportError: cannot
> import name 'functions' from 'pyspark.ml.connect'}}, where
> {{spark.sql("SELECT array(1.0D, 2.0D)
> a").select(vector_to_array(array_to_vector("a")))}} gives {{[1.0, 2.0]}} in
> PySpark 4.3.0. Provide the module so that both functions work as in PySpark.
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