I have 5 shard and they are at Amazon EC2 as Large instances. I just make
some tests and when I start pre-production step at my data center I will
have many Solr machines and millions of documents so this issue maybe a
problem for me.
2013/5/10 Jason Hellman
> And for 10,000 documents across n
And for 10,000 documents across n shards, that can be significant!
On May 10, 2013, at 11:43 AM, Joel Bernstein wrote:
> How many shards are in your collection? The query aggregator node will pull
> pack that results from each shard and hold the results in memory. Then it
> will add the results
How many shards are in your collection? The query aggregator node will pull
pack that results from each shard and hold the results in memory. Then it
will add the results to a priority queue to sort them. This queue will need
to be as large as the page that is being generated.
After the query is f
You are looking at jvm heap but attributing it to caching only. Not quite
right...there are other things in that jvm heap.
Otis
Solr & ElasticSearch Support
http://sematext.com/
On May 9, 2013 3:55 PM, "Furkan KAMACI" wrote:
> I have Solr 4.2.1 and run them as SolrCloud. When I do a search on
>
I have Solr 4.2.1 and run them as SolrCloud. When I do a search on
SolrCloud as like that:
ip_of_node_1:8983solr/select?q=*:*&rows=1
and when I check admin page I see that:
I have 5 GB Java Heap. 616.32 MB is dark gray, 3.13 GB is gray.
Before my search it was something like: 150 MB dark gr