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https://issues.apache.org/jira/browse/SPARK-33436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17299283#comment-17299283
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Nicholas Chammas commented on SPARK-33436:
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[~hyukjin.kwon] - Can you clarify please why this ticket is "Won't Fix"? Just
so it's clear for others who come across this ticket.
Is `._jsc` the intended way for PySpark users to set S3A configs?
> PySpark equivalent of SparkContext.hadoopConfiguration
> ------------------------------------------------------
>
> Key: SPARK-33436
> URL: https://issues.apache.org/jira/browse/SPARK-33436
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.1.0
> Reporter: Nicholas Chammas
> Priority: Minor
>
> PySpark should offer an API to {{hadoopConfiguration}} to [match
> Scala's|http://spark.apache.org/docs/latest/api/scala/org/apache/spark/SparkContext.html#hadoopConfiguration:org.apache.hadoop.conf.Configuration].
> Setting Hadoop configs within a job is handy for any configurations that are
> not appropriate as cluster defaults, or that will not be known until run
> time. The various {{fs.s3a.*}} configs are a good example of this.
> Currently, what people are doing is setting things like this [via
> SparkContext._jsc.hadoopConfiguration()|https://stackoverflow.com/a/32661336/877069].
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