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https://issues.apache.org/jira/browse/SPARK-61171?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61171:
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Fix Version/s: connect-rust-4.3.0
> Let the objects of the Python client be referred to weakly and take
> attributes, as those of PySpark
> ---------------------------------------------------------------------------------------------------
>
> Key: SPARK-61171
> URL: https://issues.apache.org/jira/browse/SPARK-61171
> 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
>
>
> PySpark's classes of Spark Connect are Python classes: their objects can be
> referred to weakly (weakref.ref, WeakKeyDictionary, WeakValueDictionary) and
> take attributes of their own, as libraries that cache by weak reference or
> tag a DataFrame do.
> The Python client's SparkSession, DataFrame, Column, GroupedData, WindowSpec,
> DataFrameReader, DataFrameWriter, DataFrameWriterV2, MergeIntoWriter,
> DataStreamReader, DataStreamWriter, StreamingQuery, StreamingQueryManager,
> Catalog, RuntimeConf, DataFrameNaFunctions, DataFrameStatFunctions,
> TableValuedFunction, TableArg, DataSourceRegistration, Observation, the data
> types, StructField, VariantVal, Geometry, Geography and the resource profile
> classes are classes of the Rust extension, which refuse both:
> TypeError: cannot create weak reference to 'DataFrame' object
> AttributeError: 'pyspark.sql.connect.dataframe.DataFrame' object has no
> attribute 'x'
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