I have around 20K JSON documents that have around 350 fields to be pushed
into ES (0.90.13). The mapping type is all multi valued string fields.
Currently I have a single shard and 0 replicas.
My question is whether ES(Lucene) is capable of handling these large
documents? Or does it work well for small documents (less fields) but
larger number of such small documents?
I have around 20K JSON documents that have around 350 fields to be pushed
into ES (0.90.13). The mapping type is all multi valued string fields.
Currently I have a single shard and 0 replicas.
My question is whether ES(Lucene) is capable of handling these large
documents? Or does it work well for small documents (less fields) but
larger number of such small documents?
Does the memory spike when you retrieve these documents in bulk as a result
of a query/filter result?
On Sunday, November 23, 2014 7:43:49 PM UTC+5:30, Jörg Prante wrote:
This is not large. I have 5500 fields in ~100m docs, most fields are not
analyzed / not indexed. Sure, this works perfectly.
Jörg
On Sun, Nov 23, 2014 at 10:19 AM, Ajay Divakaran <ajay.div...@gmail.com
<javascript:>> wrote:
Hi all,
I have around 20K JSON documents that have around 350 fields to be pushed
into ES (0.90.13). The mapping type is all multi valued string fields.
Currently I have a single shard and 0 replicas.
My question is whether ES(Lucene) is capable of handling these large
documents? Or does it work well for small documents (less fields) but
larger number of such small documents?
I have around 20K JSON documents that have around 350 fields to be
pushed into ES (0.90.13). The mapping type is all multi valued string
fields.
Currently I have a single shard and 0 replicas.
My question is whether ES(Lucene) is capable of handling these large
documents? Or does it work well for small documents (less fields) but
larger number of such small documents?
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