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https://issues.apache.org/jira/browse/SPARK-47211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-47211.
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Resolution: Fixed
Issue resolved by pull request 45316
[https://github.com/apache/spark/pull/45316]
> 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
> Assignee: Nikola Mandic
> Priority: Major
> Labels: pull-request-available
> 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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