apurtell edited a comment on pull request #3244:
URL: https://github.com/apache/hbase/pull/3244#issuecomment-836903862


   > So we will only compress value?
   
   This is an enhancement to existing WAL compression. As you know the existing 
WAL compression already compresses other aspects of WAL entries _except_ for 
the value. This patch adds support for compressing values too. 
   
   > As we will do batching when writing WAL entries out, is it possible to 
compress when flushing? The data will be larger and compress may perform 
better. The structure of a WAL file will be multiple compressed blocks.
   
   This is not possible for two reasons:
   
   1. WALCellCodec does not compress the WAL file in blocks. The design is edit 
by edit. I want to introduce value compression without re-engineering the whole 
WAL format. Perhaps our WAL file format is due for a redesign, but I would like 
to see that be a different issue. 
   
   2. We flush at the end of every cell to ensure each cell record persists all 
of the value data into the expected place. We have to do that anyway... 
Otherwise the compressor would put some of the unflushed output of the previous 
value into the next/current value. But, we are not resetting the compressor. 
(That would be FULL_FLUSH. We are using SYNC_FLUSH.) By using the same Deflater 
instance for the whole WAL we already get the benefit you are thinking of. The 
(re-used) Deflater is able to builds its dictionary across the whole file's 
contents, achieving a better compression. 
   
   Way back in the distant past our WAL format was based on Hadoop's 
SequenceFile, which supported both record-by-record and block based 
compression, where the blocks would contain multiple records. I don't remember 
why we moved away from it but I imagine it was because if there are corruptions 
of the WAL, a record by record codec is able to skip over the corrupt record 
and we lose only the record (or as many records as are actually corrupt), but 
with a block format we would lose the whole record and all of the edits 
contained within that record, especially if compression or encryption is 
enabled. 


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