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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/03/11 00:58:00 UTC
[jira] [Resolved] (SPARK-33436) PySpark equivalent of
SparkContext.hadoopConfiguration
[ https://issues.apache.org/jira/browse/SPARK-33436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-33436.
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Resolution: Won't Fix
> 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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