Well, I hit the same error again after 6.7M documents and the increased 
heap size. 

After a restart of the cluster, it's taking a very long time to bring up 
the replica shards. Until I have about 50% of my shards (primary + replica) 
initialized, I'm unable to load any more documents. When I try to bulk 
load, I fail after about another 1000 documents. Here's my current cluster 
stats from Marvel:

Nodes: 6
Indices: 106
Shards: 2342
Data: 1.14 TB
CPU: 238%
Memory: 44.21 GB / 719.90 GB
Up time: 3.4 h
Version: 1.1.1

My total number of shards is actually 3124, still waiting on several 
hundred to come back after three and a half hours. I have the following 
questions:

   - ​Is there an index size to heap size ratio that we should be adhering? 
   - What would prevent us from indexing additional documents? We seem to 
   be no where close to filling the memory allocated to elasticsearch, and the 
   CPU usage has remained low.
   - I just changed the es.logger.level to DEBUG, restarted the cluster, 
   waited for all the primary shards to initialize, and submitted a document 
   for indexing. It failed with the UnavailableShardsException and nothing 
   appeared in the logs on the node where I submitted the request. Is there 
   somewhere else I should be looking?
   - I've given no tuning parameters to the indexes or the system as a 
   whole. Is there something I may be missing?
   
I'm sure this is something that could be solved on my side with some change 
in parameters. Any ideas what I can try?

Thanks,
-Chris

On Friday, June 6, 2014 4:59:49 PM UTC-7, Chris Mildebrandt wrote:
>
> It looks like the problem is on my end. I misplaced the HEAP size 
> parameter and was only running with 1GB. After bumping it up to a more 
> respectable amount, the loading is humming along again.
>
> -Chris
>

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