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