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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2021/02/05 21:22:02 UTC

[jira] [Resolved] (SPARK-34346) io.file.buffer.size set by spark.buffer.size will override by hive-site.xml may cause perf regression

     [ https://issues.apache.org/jira/browse/SPARK-34346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-34346.
-----------------------------------
    Fix Version/s: 3.1.1
                   3.0.2
         Assignee: Kent Yao
       Resolution: Fixed

> io.file.buffer.size set by spark.buffer.size will override by hive-site.xml may cause perf regression
> -----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-34346
>                 URL: https://issues.apache.org/jira/browse/SPARK-34346
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, SQL
>    Affects Versions: 3.1.1
>            Reporter: Kent Yao
>            Assignee: Kent Yao
>            Priority: Blocker
>             Fix For: 3.0.2, 3.1.1
>
>
> In many real-world cases, when interacting with hive catalog through Spark SQL, users may just share the `hive-site.xml` for their hive jobs and make a copy to `SPARK_HOME`/conf w/o modification. In Spark, when we generate Hadoop configurations, we will use `spark.buffer.size(65536)` to reset  `io.file.buffer.size(4096)`. But when we load the hive-site.xml, we may ignore this behavior and reset `io.file.buffer.size` again according to `hive-site.xml`.
> 1. The configuration priority for setting Hadoop and Hive config here is not right, while literally, the order should be `spark > spark.hive > spark.hadoop > hive > hadoop`
> 2. This breaks `spark.buffer.size` congfig's behavior for tuning the IO performance w/ HDFS if there is an existing `io.file.buffer.size` in hive-site.xml 



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