This reduced the size of index by half, but in my context its still very
big.
I tried removing _source. This reduced the size of the index 50%
further. But if I understand correctly, search will stop working as it
works on _source.
Since I store each value as field for faceting, wondering if there is a
way to reconstruct the document from the Fields which I index as "not
analyzed".
Thanks
Rahul
On Wed, Aug 8, 2012 at 3:30 AM, Shay Banon kimchy@gmail.com wrote:
Store level compression is one way to compress the data (available in
0.19.8). Note that CSV is quite different by itself than json format.
When you say store level compression, do you mean compression will work if
the fields are marked field("store", "yes") or otherwise as well?
Is it additional to _source compression?
Does it impact faceting performance?
On Wed, Aug 8, 2012 at 3:30 AM, Shay Banon kimchy@gmail.com wrote:
Store level compression is one way to compress the data (available in
0.19.8). Note that CSV is quite different by itself than json format.
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