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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:20 UTC
[jira] [Updated] (SPARK-18017) Changing Hadoop parameter through
sparkSession.sparkContext.hadoopConfiguration doesn't work
[ https://issues.apache.org/jira/browse/SPARK-18017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-18017:
---------------------------------
Labels: bulk-closed (was: )
> Changing Hadoop parameter through sparkSession.sparkContext.hadoopConfiguration doesn't work
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-18017
> URL: https://issues.apache.org/jira/browse/SPARK-18017
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.0
> Environment: Scala version 2.11.8; Java 1.8.0_91; com.databricks:spark-csv_2.11:1.2.0
> Reporter: Yuehua Zhang
> Priority: Major
> Labels: bulk-closed
>
> My Spark job tries to read csv files on S3. I need to control the number of partitions created so I set Hadoop parameter fs.s3n.block.size. However, it stopped working after we upgrade Spark from 1.6.1 to 2.0.0. Not sure if it is related to https://issues.apache.org/jira/browse/SPARK-15991.
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