Brad,
What version of ES?
What was ES doing on the problem node? (Hot threads call/ log file/
strace). Any related OS info( was it io bound? )
If it was really hung, I am not sure why the shutdown would work after
moving the shards off it ( I.e. cluster was green...) ...it sounds to me
like it was too busy doing something...

The other nodes had already decided your problem node was out of the
cluster , right?
On 22/01/2014 9:55 AM, "Brad Jordan" <[email protected]> wrote:

> Just an update... I waited for the "unassigned_shards" number to reach
> zero at which point the cluster_state reported GREEN but still only had 3
> nodes. I was then able to execute the curl to shut down the node 2 and then
> restart it. It joined the cluster again and everyone was happy. I guess the
> moral of the story is to just wait and ES will fix itself? Patience is a
> virtue? Not sure but ES did eventually fix itself :-)
>
> -Brad
>
> On Tuesday, January 21, 2014 3:42:51 PM UTC-7, Brad Jordan wrote:
>>
>> This is a DEV env. I've got 24G of RAM on all 4 machines. 12G for ES and
>> 12G for the OS. I believe the machines are quad core HP Z-800's.
>>
>> I will not be inserting at this rate very often. My question is more
>> operational. How do you recover from the place I am in? If I kill -9 the ES
>> process on node 2 I believe I will put my cluster in the red state.
>>
>> I did get into this unhappy spot once before. After trying to shut down
>> ES on node 2 I eventually kill -9'd it. At that point my cluster was in the
>> red state and unable to service requests. The "unassigned_shards" number
>> was not changing. I have daily indexes so I simply deleted the most recent
>> daily index and rebuilt it. At this point my cluster had all 4 nodes and
>> was green again. In production this approach is not popular with mgmt. so
>> I'm trying to understand a less heavy handed approach ;-)
>>
>> -Brad
>>
>> On Tuesday, January 21, 2014 2:54:52 PM UTC-7, Ben Hundley wrote:
>>>
>>> 2 questions:
>>>
>>> 1. What size servers are you using?  Knowing how much RAM and # cores
>>> would
>>> be very helpful.
>>>
>>> 2. Definitely sounds like a massive load.  Are you going to continually
>>> be
>>> inserting 3k docs per sec?  ~260mil documents a day?
>>>
>>>
>>>
>>> -----
>>>
>>> --
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>>> Sent from the ElasticSearch Users mailing list archive at Nabble.com.
>>>
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