[jira] [Created] (PARQUET-2207) support saving meta and data seperately

["lei yu (Jira)" <ji...@apache.org>]

lei yu created PARQUET-2207:
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             Summary: support saving meta and data seperately
                 Key: PARQUET-2207
                 URL: https://issues.apache.org/jira/browse/PARQUET-2207
             Project: Parquet
          Issue Type: New Feature
          Components: parquet-format
            Reporter: lei yu


I often needs to create tens of milliions of small dataframes and save them into parquet files. all these dataframes have the same column and index information. and normally they have the same number of rows(around 300).  

as the data is quite small, the parquet meta information is relatively large and it's quite a big waste of disk space, as the same meta information is repeated tens of millions of times.

concating them into one big parquet file can save disk space, but it's not friendly for parallel processing of each small dataframe. 

 

if I can save one copy of the meta information into one file, and the rest parquet files contains only the data. then the disk space can be saved, and still good for parallel processing.

seems to me this is possible by design, but I couldn't find any API supporting this.



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