[jira] [Updated] (SPARK-47211) Fix ignored PySpark Connect string collation
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https://issues.apache.org/jira/browse/SPARK-47211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-47211:
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Labels: pull-request-available (was: )
> 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
> 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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[jira] [Updated] (SPARK-47211) Fix ignored PySpark Connect string collation
[
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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