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Posted to issues@spark.apache.org by "Xinrong Meng (Jira)" <ji...@apache.org> on 2022/12/09 22:50:00 UTC

[jira] [Created] (SPARK-41473) Implement `functions.format_number`

Xinrong Meng created SPARK-41473:
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             Summary: 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


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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