[jira] [Resolved] (SPARK-26627) sql_ctx loses '_conf' attribute for a pyspark dataframe converted to jdf and back

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-26627?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-26627.
----------------------------------
    Resolution: Invalid

> sql_ctx loses '_conf' attribute for a pyspark dataframe converted to jdf and back
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-26627
>                 URL: https://issues.apache.org/jira/browse/SPARK-26627
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.4.0
>            Reporter: Tomasz Bartczak
>            Priority: Trivial
>
> Having a pyspark code:
> {code:java}
> raw = spark.read.parquet("")
> converted = DataFrame(raw._jdf, spark)
> converted.toPandas(){code}
> what I get when running toPandas is:
> {code:java}
> -> 2079         if self.sql_ctx._conf.pandasRespectSessionTimeZone():
>    2080             timezone = self.sql_ctx._conf.sessionLocalTimeZone()
>    2081         else:
> AttributeError: 'SparkSession' object has no attribute '_conf'{code}
> So it looks like after converting df to java version and back sql_ctx lost '_conf' attribute.
>  
> Of course in reality life this raw._jdf is passed to a specific jvm method to do some operations on it.
>  



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