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https://issues.apache.org/jira/browse/SPARK-41473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-41473:
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Assignee: (was: Apache Spark)
> Implement `functions.format_number`
> -----------------------------------
>
> Key: SPARK-41473
> URL: https://issues.apache.org/jira/browse/SPARK-41473
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, PySpark
> Affects Versions: 3.4.0
> Reporter: Xinrong Meng
> Priority: Major
>
> Currently, `functions.format_number` has data type mismatch issue as shown
> below:
> {code:python}
> >>> from pyspark.sql.connect.session import SparkSession as RemoteSparkSession
> >>> cspark = RemoteSparkSession.builder.remote().getOrCreate()
> >>> from pyspark.sql.connect import functions as CF
> >>> cspark.createDataFrame([(5,)], ['a']).select(CF.format_number('a', 4))
> 22/12/09 14:46:52 ERROR SparkConnectService: Error analyzing plan.
> org.apache.spark.sql.AnalysisException:
> [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "format_number(a,
> 4)" due to data type mismatch: Parameter 2 requires the ("INT" or "STRING")
> type, however "4" has the type "BIGINT".;
> 'Project [unresolvedalias(format_number(a#2L, 4), None)]
> +- Project [0#0L AS a#2L]
> +- LocalRelation [0#0L]
> ...
> {code}
> The jira aims to fix the data type mismatch issue and implement
> `functions.format_number`.
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