[jira] [Updated] (SPARK-47211) Fix ignored PySpark Connect string collation

["Nikola Mandic (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-47211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nikola Mandic updated SPARK-47211:
----------------------------------
    Component/s: Connect

> Fix ignored PySpark Connect string collation
> --------------------------------------------
>
>                 Key: SPARK-47211
>                 URL: https://issues.apache.org/jira/browse/SPARK-47211
>             Project: Spark
>          Issue Type: Bug
>          Components: Connect, PySpark
>    Affects Versions: 4.0.0
>            Reporter: Nikola Mandic
>            Priority: Major
>             Fix For: 4.0.0
>
>
> When using Connect with PySpark, string collation silently gets dropped:
> {code:java}
> Client connected to the Spark Connect server at localhost
> SparkSession available as 'spark'.
> >>> spark.sql("select 'abc' collate 'UNICODE'")
> DataFrame[collate(abc): string]
> >>> from pyspark.sql.types import StructType, StringType, StructField
> >>> spark.createDataFrame([], StructType([StructField('id', StringType(2))]))
> DataFrame[id: string]
> {code}
> Instead of "string" type in dataframe, we should be seeing "string COLLATE 'UNICODE'".



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