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Which issue does this PR close?

Closes #2108

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What changes are included in this PR?

Are there any user-facing changes?

@thinkharderdev
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@tustvold @Ted-Jiang Leaving this as a draft rn as I'm not sure I understand how all the pieces fit together here and what an appropriate unit test would be.

@github-actions github-actions bot added the parquet Changes to the parquet crate label Jul 21, 2022
@Ted-Jiang
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@thinkharderdev Thanks for pin me, But i am not familiar with this?
I think we only need skip_rep_levels when need support Complex type 🤔
Just curious , is there a situation you need this?

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@thinkharderdev Thanks for pin me, But i am not familiar with this? I think we only need skip_rep_levels when need support Complex type 🤔 Just curious , is there a situation you need this?

Not anything in particular, was just trying to knock out todo items for skipping :)

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Codecov Report

Merging #2122 (285df0c) into master (1621c71) will decrease coverage by 0.03%.
The diff coverage is 59.57%.

@@            Coverage Diff             @@
##           master    #2122      +/-   ##
==========================================
- Coverage   82.85%   82.81%   -0.04%     
==========================================
  Files         237      237              
  Lines       61381    61473      +92     
==========================================
+ Hits        50856    50909      +53     
- Misses      10525    10564      +39     
Impacted Files Coverage Δ
parquet/src/column/reader/decoder.rs 39.31% <0.00%> (-10.69%) ⬇️
parquet/src/encodings/rle.rs 91.51% <68.96%> (-1.28%) ⬇️
parquet/src/util/bit_util.rs 93.76% <94.73%> (+0.06%) ⬆️
arrow/src/datatypes/datatype.rs 62.69% <0.00%> (-0.32%) ⬇️
parquet_derive/src/parquet_field.rs 65.75% <0.00%> (-0.23%) ⬇️
parquet/src/encodings/encoding.rs 93.43% <0.00%> (-0.20%) ⬇️

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@tustvold
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Would you be happy for me to pick this one up?

@thinkharderdev
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Would you be happy for me to pick this one up?

Yes please :)

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Closing as #2999 has been merged

@tustvold tustvold closed this Nov 10, 2022
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Support skip_rep_levels in ColumnLevelDecoder

4 participants