Comments (4)
Ideally his might require pushing the shredding operation further down the stack, ideally when we are writing pages for each column chunk. Instead of pushing the fully shredded record on rowBuffer we could push a flattened record (i.e. de-nested) in the same order as the shredder would put them.
The encodeColumnChunk would receive the raw values and perform shredding of all records within each each page ( max/min can be easily accessed at this point and added to metadata for each row and each columnChunk). This would also make splitting into pages way easier as we wouldn't have to reverse-engineer the rLevel and dLevel.
Thoughts?
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Here is a quick WIP of pages - passes integration tests ZJONSSON@e643f72
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Did a version of this library with support for statistics ever get out there? Maybe a fork somewhere? I'd like to have these available.
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@dobesv ZJONSSON's fork has statistics implemented. parquetjs-lite https://github.com/ZJONSSON/parquetjs
I realize this post is quite old, but might be useful for others that stumble on it.
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Related Issues (20)
- Unable to mock module using Jest HOT 1
- ParquetTransformer stream doesn't emit error HOT 1
- Cannot write a parquet file having a comma in one of its headers HOT 1
- Parquet file parsing error HOT 2
- Any way to Read parquet records before appending to file HOT 2
- os.close is not a function HOT 3
- parquet write to s3 is not queryable by Athena HOT 4
- Streaming new records into an existing parquet file in S3 HOT 5
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- is it a unmaintained Package? HOT 2
- invalid parquet version - parquet-cpp
- How to upload the parquet file to s3? HOT 3
- How to read the latest value?
- Streaming read HOT 1
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- Write multiple rows in bulk
- React native HOT 1
- Cannot use 'in' operator to search error HOT 1
- [NodeJS] RangeError [ERR_OUT_OF_RANGE] when reading a parquet file HOT 4
- invalid parquet version error for parquet files generated via python script HOT 3
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