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https://issues.apache.org/jira/browse/PARQUET-344?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Quentin Francois updated PARQUET-344:
-------------------------------------
    External issue URL: https://github.com/apache/parquet-mr/pull/251
    Remaining Estimate:     (was: 504h)
     Original Estimate:     (was: 504h)

> Limit the number of rows per block and per split
> ------------------------------------------------
>
>                 Key: PARQUET-344
>                 URL: https://issues.apache.org/jira/browse/PARQUET-344
>             Project: Parquet
>          Issue Type: Improvement
>          Components: parquet-mr
>            Reporter: Quentin Francois
>
> We use Parquet to store raw metrics data and then query this data with 
> Hadoop-Pig. 
> The issue is that sometimes we end up with small Parquet files (~80mo) that 
> contain more than 300 000 000 rows, usually because of a constant metric 
> which results in a very good compression. Too good. As a result we have a 
> very few number of maps that process up to 10x more rows than the other maps 
> and we lose the benefits of the parallelization. 
> The fix for that has two components I believe:
> 1. Be able to limit the number of rows per Parquet block (in addition to the 
> size limit).
> 2. Be able to limit the number of rows per split.



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