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https://issues.apache.org/jira/browse/IMPALA-6658?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Sherman updated IMPALA-6658:
-----------------------------------
    Description: 
Currently RleEncoder creates repeated runs from 8 repeated values, which can be 
less space efficient than bit-packed if bit width is 1 or 2. In the worst case, 
the whole data page can be ~2X larger if bit width is 1, and ~1.25X larger if 
bit is 2 compared to bit-packing.

A comment in rle_encoding.h writes different numbers, but it probably does not 
calculate with the overhead of splitting long runs into smaller ones (every run 
adds +1 byte for its length): 
[https://github.com/apache/impala/blob/8079cd9d2a87051f81a41910b74fab15e35f36ea/be/src/util/rle-encoding.h#L62]

Note that if the data page is compressed, this size difference probably 
disappears, but the larger uncompressed buffer size can still affect 
performance.

Parquet RLE encoding is described here: 
[https://github.com/apache/parquet-format/blob/master/Encodings.md#run-length-encoding-bit-packing-hybrid-rle-3]

 

  was:
Currently RleEncoder creates repeated runs from 8 repeated values, which can be 
less space efficient than bit-packed if bit width is 1 or 2. In the worst case, 
the whole data page can be ~2X larger if bit width is 1, and ~1.25X larger if 
bit is 2 compared to bit-packing.

A comment in rle_encoding.h writes different numbers, but it probably does not 
calculate with the overhead of splitting long runs into smaller ones (every run 
adds +1 byte for its length): 
https://github.com/apache/impala/blob/8079cd9d2a87051f81a41910b74fab15e35f36ea/be/src/util/rle-encoding.h#L62

Note that if the data page is compressed, this size difference probably 
disappears, but the larger uncompressed buffer size can still affect  
performance.

Parquet RLE encoding is described here: https://github.com/apache/parquet-
format/blob/master/Encodings.md#run-length-encoding--bit-packing-hybrid-rle--3


> Parquet RLE encoding can waste space with small repeated runs
> -------------------------------------------------------------
>
>                 Key: IMPALA-6658
>                 URL: https://issues.apache.org/jira/browse/IMPALA-6658
>             Project: IMPALA
>          Issue Type: Improvement
>          Components: Backend
>            Reporter: Csaba Ringhofer
>            Assignee: Andrew Sherman
>            Priority: Minor
>              Labels: parquet, ramp-up
>
> Currently RleEncoder creates repeated runs from 8 repeated values, which can 
> be less space efficient than bit-packed if bit width is 1 or 2. In the worst 
> case, the whole data page can be ~2X larger if bit width is 1, and ~1.25X 
> larger if bit is 2 compared to bit-packing.
> A comment in rle_encoding.h writes different numbers, but it probably does 
> not calculate with the overhead of splitting long runs into smaller ones 
> (every run adds +1 byte for its length): 
> [https://github.com/apache/impala/blob/8079cd9d2a87051f81a41910b74fab15e35f36ea/be/src/util/rle-encoding.h#L62]
> Note that if the data page is compressed, this size difference probably 
> disappears, but the larger uncompressed buffer size can still affect 
> performance.
> Parquet RLE encoding is described here: 
> [https://github.com/apache/parquet-format/blob/master/Encodings.md#run-length-encoding-bit-packing-hybrid-rle-3]
>  



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