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Posted to dev@avro.apache.org by "Sean Busbey (JIRA)" <ji...@apache.org> on 2017/08/18 13:00:03 UTC

[jira] [Updated] (AVRO-1976) Add Input/OutputFormat to read/write encoded objects

     [ https://issues.apache.org/jira/browse/AVRO-1976?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Busbey updated AVRO-1976:
------------------------------
    Status: Patch Available  (was: Open)

> Add Input/OutputFormat to read/write encoded objects
> ----------------------------------------------------
>
>                 Key: AVRO-1976
>                 URL: https://issues.apache.org/jira/browse/AVRO-1976
>             Project: Avro
>          Issue Type: Improvement
>          Components: java
>         Environment: hadoop
>            Reporter: Marius Posta
>            Assignee: Marius Posta
>            Priority: Minor
>              Labels: newbie
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> In certain cases, performance of some Avro map-reduce jobs can be considerably improved by de-coupling Avro encoding from actual Avro container file IO.
> In my case, a complex schema (100+ record fields) and large HDFS blocks resulted in Spark jobs where a lot of workers were idling while a couple of them were busy decoding their input splits.Furthermore, the objects then needed to be re-encoded in order to be shuffled about, which crippled performance further.
> I propose the addition of an InputFormat which reads a container file input split as key-value pairs in which the key is the file header and the value is the decompressed file data block. Also, an OutputFormat which follows the same logic for writing.



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