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From "Kay Ousterhout (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SPARK-5906) Input read size incorrect for Parquet files
Date Thu, 19 Feb 2015 07:35:11 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Kay Ousterhout closed SPARK-5906.
---------------------------------
    Resolution: Won't Fix

Ah I see -- then I'm closing this, because I'm using Hadoop 2.0, which is why this was an
issue (so it's totally unrelated to Parquet -- it just didn't surface with other file formats
where Spark reads the whole file to do a count).  Thanks for the help Sandy!

> Input read size incorrect for Parquet files
> -------------------------------------------
>
>                 Key: SPARK-5906
>                 URL: https://issues.apache.org/jira/browse/SPARK-5906
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL, Web UI
>    Affects Versions: 1.2.1
>            Reporter: Kay Ousterhout
>            Priority: Minor
>
> When SparkSQL reads input data from parquet, there are many cases where it doesn't need
to read the whole file (e.g., to do a count(*), it only needs to read metadata).  Spark reports
the input size as the entire file size, even though SparkSQL didn't read nearly that much.
> [~sandyr] do you know why this is? I'm seeing this when Spark uses the new hadoop API,
so the bytes read come from Hadoop's statistics data.



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