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Posted to issues@spark.apache.org by "Nicholas Chammas (JIRA)" <ji...@apache.org> on 2016/07/11 18:12:11 UTC
[jira] [Closed] (SPARK-16427) Expand documentation on the various
RDD storage levels
[ https://issues.apache.org/jira/browse/SPARK-16427?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Nicholas Chammas closed SPARK-16427.
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Resolution: Invalid
> Expand documentation on the various RDD storage levels
> ------------------------------------------------------
>
> Key: SPARK-16427
> URL: https://issues.apache.org/jira/browse/SPARK-16427
> Project: Spark
> Issue Type: Improvement
> Components: Documentation
> Reporter: Nicholas Chammas
> Priority: Minor
>
> Looking at the docs here
> http://spark.apache.org/docs/1.6.2/api/python/pyspark.html#pyspark.StorageLevel
> A newcomer to Spark won’t understand the meaning of {{_2}}, or the meaning of {{_SER}} (or its value), and won’t understand how exactly memory and disk play together when something like {{MEMORY_AND_DISK}} is selected.
> We should expand this documentation to explain what the various levels mean and perhaps even when a user might want to use them.
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