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* Implements a new codec, FSSTCompressor using latest version of fsst-rs library * Adds new `metadata` field on CompressionTree to allow reuse between the sampling and compressing stages. For example, we can save the ALP exponents to not have to calculate them twice. This is very important for FSST so that we save the overhead of training the table twice * Adds new compression benchmark using the `lineitem` table's `l_comment` column, with scalefactor=1, which is just over 6million rows. By default this is loaded as a ChunkedArray with 733 partitions. Compressing with FSST enabled takes 1.6s. Compressing on the canonicalized array takes ~550ms. We should be able to speed this up by at least ~2x, see #664 (comment), and we can potentially do even better. We probably want to be able to FSST compress a ChunkedArray directly so that we avoid the overhead of training/compressing each chunk from scratch.
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