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https://issues.apache.org/jira/browse/SPARK-61290?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61290:
-----------------------------------
    Labels: pull-request-available  (was: )

> Raise CANNOT_INFER_ARRAY_ELEMENT_TYPE for a list without an element type in 
> the Column methods of the Python client, as PySpark does
> ------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-61290
>                 URL: https://issues.apache.org/jira/browse/SPARK-61290
>             Project: Spark
>          Issue Type: Bug
>          Components: Connect
>    Affects Versions: connect-rust-4.3.0
>            Reporter: Tim Meehan
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: connect-rust-4.3.0
>
>
> PySpark's Column methods, such as when, otherwise and isin, send a Python 
> list as an array literal whose element type they infer, and raise 
> CANNOT_INFER_ARRAY_ELEMENT_TYPE for an empty list or one that starts with 
> None (pyspark/sql/connect/expressions.py:368). In the Python client of 
> spark-connect-rust, such a list becomes array(...) of its elements, so these 
> lists are accepted.
> {code:python}
> from pyspark.sql import SparkSession, functions as F
> spark = SparkSession.builder.remote("sc://localhost:15002").getOrCreate()
> spark.range(2).select(F.when(F.col("id") > 0, 
> F.array(F.lit(1))).otherwise([]).alias("o")).collect()
> {code}
> Against an OSS Spark 4.3.0 Connect server on loopback:
> * pyspark-client 4.3.0: PySparkTypeError: \[CANNOT_INFER_ARRAY_ELEMENT_TYPE\] 
> Can not infer the element data type, a non-empty list starting with a 
> non-None value is required. otherwise(\[None, 2\]) raises the same.
> * spark-connect-rust master 8768cc4: \[Row(o=\[\]), Row(o=\[1\])\], and with 
> otherwise(\[None, 2\]), \[Row(o=\[None, 2\]), Row(o=\[1\])\].
> From source: to_column (crates/pyspark-rs/src/functions.rs:224) sends every 
> list through pyspark.sql.functions.lit (:239-247), which builds array(...). 
> That is right for PySpark's functions: F.when(F.lit(True), \[\]) returns 
> \[Row(w=\[\])\] in both clients.



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