Probably not.

I deleted all data from slave and restarted both servers and I see this:

*Master: *
[root@ip-10-169-36-251 logstash-2013.12.22]#  du -h --max-depth=1
16M    ./0
16M    ./1
8.0K    ./_state
15M    ./4
15M    ./3
15M    ./2
75M    .

*Data: *

[root@ip-10-186-152-19 logstash-2013.12.22]# du -h --max-depth=1
16M    ./0
16M    ./1
15M    ./4
15M    ./3
15M    ./2
75M    .


On Mon, May 5, 2014 at 10:53 PM, Mark Walkom <[email protected]>wrote:

> Don't copy indexes on the OS level!
>
> Is your new cluster balancing the shards?
>
> Regards,
> Mark Walkom
>
> Infrastructure Engineer
> Campaign Monitor
> email: [email protected]
> web: www.campaignmonitor.com
>
>
> On 6 May 2014 12:46, Nishchay Shah <[email protected]> wrote:
>
>> Hey Mark,
>> Thanks for the response. I have currently created two new medium test
>> instances (1 master 1 data only) because I didn't want to mess with the
>> main dataset. In my test setup, I have about 600MB of data ; 7 indexes
>>
>> After looking around a lot I saw that the directory organization is
>> /elasticsearch/es/elasticsearch-1.1.1/data/elasticsearchtest/nodes/*<node
>> number>*/ and the master node has only 1 directory
>>
>> (master)
>> # ls /elasticsearch/es/elasticsearch-1.1.1/data/elasticsearchtest/nodes
>> 0
>>
>> So on node2 I created a "1" directory and moved 1 index from master to
>> data ; So master now has six indexes in 0 and data has one in 1.
>> When I started elasticsearch after that I got to a point where the master
>> is not NOT copying the data back to itself.. but now node2 is copying
>> master's data and making a "0" directory ; Also, I am unable to query the
>> node2's data !
>>
>>
>>
>>
>> On Mon, May 5, 2014 at 9:34 PM, Mark Walkom <[email protected]>wrote:
>>
>>> Moving data on the OS level without making ES aware can cause
>>> difficulties as you are seeing.
>>>
>>>  A few suggestions on how to resolve this and improve things in general;
>>>
>>>    1. Set your heap size to 31GB.
>>>    2. Use Oracle's java, not OpenJDK.
>>>    3. Set bootstrap.mlockall to true, you don't want to swap, ever.
>>>
>>> Given the large number of indexes you have on node1, and to get to a
>>> point where you can move some of these to a new node and stop the root
>>> problem, it's going to be worth closing some of the older indexes. So try
>>> these steps;
>>>
>>>    1. Stop node2.
>>>    2. Delete any data from the second node, to prevent things being
>>>    auto imported again.
>>>    3. Start node1, or restart it if it's running.
>>>    4. Close all your indexes older than a month -
>>>    
>>> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/indices-open-close.html.
>>>    You can use wildcards in index names to make the update easier. What this
>>>    will do is tell ES to not load the index metadata into memory, which will
>>>    help with your OOM issue.
>>>    5. Start node2 and let it join the cluster.
>>>    6. Make sure the cluster is in a green state. If you're not already,
>>>    use something like ElasticHQ, kopf or Marvel to monitor things.
>>>    7. Let the cluster rebalance the current open indexes.
>>>    8. Once that is ok and things are stable, reopen your closed indexes
>>>    a month at a time, and let them rebalance.
>>>
>>> That should get you back up and running. Once you're there we can go
>>> back to your original post :)
>>>
>>> Regards,
>>> Mark Walkom
>>>
>>> Infrastructure Engineer
>>> Campaign Monitor
>>> email: [email protected]
>>> web: www.campaignmonitor.com
>>>
>>>
>>> On 6 May 2014 11:15, Nishchay Shah <[email protected]> wrote:
>>>
>>>>
>>>> Thanks Nate, but this doesn't work. node2 is not the master. So
>>>> starting it first didn't make sense, anyway I tried it and I couldn't
>>>> execute anything on a nonmaster node (node2) unless master was started
>>>>
>>>> I started node2 (non master) and ran this: curl -XPUT
>>>> localhost:9200/_cluster/settings -d
>>>> '{"transient":{"cluster.routing.allocation.disable_allocation":true}}'
>>>> after 30s I got this:
>>>> {"error":"MasterNotDiscoveredException[waited for [30s]]","status":503}
>>>>
>>>> I started node1 and as bloody expected elasticsearch copied all the
>>>> indexes :( ..
>>>> *"auto importing dangled indices"*
>>>>
>>>> I cannot believe I am unable to get this fundamental elasticsearch
>>>> feature working !
>>>>
>>>>
>>>> On Mon, May 5, 2014 at 4:25 PM, Nate Fox <[email protected]> wrote:
>>>>
>>>>> Get node2 running with rock. Then issue a disable_allocation and then
>>>>> bring up node1.
>>>>> curl -XPUT localhost:9200/_cluster/settings -d
>>>>> '{"transient":{"cluster.routing.allocation.disable_allocation":true}}'
>>>>>
>>>>> From there, adjust the replica settings on the indexes down to 0 so
>>>>> they dont copy. Once thats set, change disable_allocation to false.
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> On Mon, May 5, 2014 at 1:19 PM, Nish <[email protected]> wrote:
>>>>>
>>>>>> *.."- Fire up both nodes, make sure they both have the same cluster
>>>>>> name"* <= This is exactly what I wrote in my second message is where
>>>>>> Elasticsearch is messing up. When I move the index to a new node and 
>>>>>> delete
>>>>>> that index from master and then start master node and other data node, it
>>>>>> (master) throws a message:
>>>>>> "auto importing dangled indices"
>>>>>> This means master is now copying the "deleted" index that exists only
>>>>>> on other node to itself !
>>>>>>
>>>>>>
>>>>>> Basically this is what happens:
>>>>>>
>>>>>>    1. Node1 Master: rock,paper,scissors
>>>>>>    2. I move rock from Node 1 to Node 2 (I verify by starting ONLY
>>>>>>    node1 and I can see that I am missing data that was originally in 
>>>>>> "rock"
>>>>>>    index, as expected, all good)
>>>>>>    3. SO node1 now has paper,scissors
>>>>>>    4. I start Node2 with ONLY "rock" index (verify independently, it
>>>>>>    works)
>>>>>>    5. Then I start node 1 (master) and node 2(data)
>>>>>>    6. Node1 sees says "hey I don't have rock, but node2 has it, let
>>>>>>    me copy it to myself"
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Monday, May 5, 2014 3:44:17 PM UTC-4, Nate Fox wrote:
>>>>>>
>>>>>>> You might turn off the bootstrap.mlockall flag just for now - it'll
>>>>>>> make ES swap a ton, but your error message looks like an OS level issue.
>>>>>>> Make sure you have lots of swap available and grab some coffee.
>>>>>>>
>>>>>>> What I'd also try if turning off bootstrap.mlockall doesnt work:
>>>>>>> - Tarball the entire data directory and save the tarball somewhere
>>>>>>> (unless you dont care about the data)
>>>>>>> - Set 31Gb for your ES HEAP. There's plenty of docs out there that
>>>>>>> say not to go over 32Gb of ram cause it'll cause Java to go into 64bit 
>>>>>>> mode.
>>>>>>> - Copy the entire data dir to node2
>>>>>>> - Go into the data dir on node1 and delete half of the indexes
>>>>>>> - Go into the data dir on node2 and delete the *other* half of the
>>>>>>> indexes
>>>>>>> - Fire up both nodes, make sure they both have the same cluster name
>>>>>>>
>>>>>>> I have no idea if this'll work, I'm by no means an ES expert. :)
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Mon, May 5, 2014 at 12:32 PM, Nish <[email protected]> wrote:
>>>>>>>
>>>>>>>>  Currently I have 279 indexes on a single node and elasticsearch
>>>>>>>> starts for few minutes and dies ; I only have 60G RAM on disk and as 
>>>>>>>> far as
>>>>>>>> I know 60% is the max that one should allocate to elasticsearch ; I 
>>>>>>>> tried
>>>>>>>> allocating 38G and it lasted for few more minutes and it died.
>>>>>>>>
>>>>>>>> *(I think there's some state files that tell ES/Lucene which
>>>>>>>> indexes are on disk)* => Where is this ? How do I fix it so that
>>>>>>>> it doesn't move all indexes to all nodes ? I want to split the ~280 
>>>>>>>> indexes
>>>>>>>> into two nodes of 140each. So far I am not able to achieve this as the
>>>>>>>> master keeps moving nodes to itself !
>>>>>>>>
>>>>>>>> On Monday, May 5, 2014 3:25:05 PM UTC-4, Nate Fox wrote:
>>>>>>>>>
>>>>>>>>> How many indexes do you have? It almost looks like the system
>>>>>>>>> itself cant allocate the ram needed?
>>>>>>>>> You might try jacking up the nofile to something like 999999 as
>>>>>>>>> well? I'd definitely go with 31g heapsize.
>>>>>>>>>
>>>>>>>>> As for moving indexes, you might be able to copy the entire data
>>>>>>>>> store, then remove some (I think there's some state files that tell
>>>>>>>>> ES/Lucene which indexes are on disk), so it might recover if its 
>>>>>>>>> missing
>>>>>>>>> some and sees the others on another node?
>>>>>>>>>
>>>>>>>>> As for your other questions, it depends on usage as to how many
>>>>>>>>> nodes - especially search activity while indexing. We have 230 indexes
>>>>>>>>> (1740 shards) on 8 data nodes (5.7Tb / 6.1B docs). So it can 
>>>>>>>>> definitely
>>>>>>>>> handle a lot more than what you're throwing at it. We dont search 
>>>>>>>>> often nor
>>>>>>>>> do we load a ton of data at once.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Sunday, May 4, 2014 7:13:09 AM UTC-7, Nish wrote:
>>>>>>>>>>
>>>>>>>>>> elasticsearch is set as a single node instance on a  60G RAM and
>>>>>>>>>> 32*2.6GHz machine. I am actively indexing historic data with 
>>>>>>>>>> logstash. It
>>>>>>>>>> worked well with ~300 million documents (search and indexing were 
>>>>>>>>>> doing ok)
>>>>>>>>>> , but all of a sudden es fails to starts and keep itself up. It 
>>>>>>>>>> starts for
>>>>>>>>>> few minutes and I can query but fails with out of memory error. I 
>>>>>>>>>> monitor
>>>>>>>>>> the memory and atleast 12G of memory is available when it fails. I 
>>>>>>>>>> had set
>>>>>>>>>> the es_heap_size to 31G and then reduced it to 28, 24 and 18 and the 
>>>>>>>>>> same
>>>>>>>>>> error every time (see dump below)
>>>>>>>>>>
>>>>>>>>>> *My security limits are as under  (this is a test/POC server thus
>>>>>>>>>> "root" user) *
>>>>>>>>>>
>>>>>>>>>> root   soft    nofile          65536
>>>>>>>>>> root   hard    nofile          65536
>>>>>>>>>> root   -       memlock         unlimited
>>>>>>>>>>
>>>>>>>>>> *ES settings *
>>>>>>>>>> config]# grep -v "^#" elasticsearch.yml | grep -v "^$"
>>>>>>>>>>  bootstrap.mlockall: true
>>>>>>>>>>
>>>>>>>>>> *echo $ES_HEAP_SIZE*
>>>>>>>>>> 18432m
>>>>>>>>>>
>>>>>>>>>> ---DUMP----
>>>>>>>>>>
>>>>>>>>>> # bin/elasticsearch
>>>>>>>>>> [2014-05-04 13:30:12,653][INFO ][node                     ]
>>>>>>>>>> [Sabretooth] version[1.1.1], pid[19309], build[f1585f0/2014-04-16T14:
>>>>>>>>>> 27:12Z]
>>>>>>>>>> [2014-05-04 13:30:12,653][INFO ][node                     ]
>>>>>>>>>> [Sabretooth] initializing ...
>>>>>>>>>> [2014-05-04 13:30:12,669][INFO ][plugins                  ]
>>>>>>>>>> [Sabretooth] loaded [], sites []
>>>>>>>>>> [2014-05-04 13:30:15,390][INFO ][node                     ]
>>>>>>>>>> [Sabretooth] initialized
>>>>>>>>>> [2014-05-04 13:30:15,390][INFO ][node                     ]
>>>>>>>>>> [Sabretooth] starting ...
>>>>>>>>>> [2014-05-04 13:30:15,531][INFO ][transport                ]
>>>>>>>>>> [Sabretooth] bound_address {inet[/0:0:0:0:0:0:0:0:9300]}, 
>>>>>>>>>> publish_address
>>>>>>>>>> {inet[/10.109.136.59:9300]}
>>>>>>>>>> [2014-05-04 13:30:18,553][INFO ][cluster.service          ]
>>>>>>>>>> [Sabretooth] new_master [Sabretooth][eocFkTYMQnSTUar94
>>>>>>>>>> A2vHw][ip-10-109-136-59][inet[/10.109.136.59:9300]], reason:
>>>>>>>>>> zen-disco-join (elected_as_master)
>>>>>>>>>> [2014-05-04 13:30:18,579][INFO ][discovery                ]
>>>>>>>>>> [Sabretooth] elasticsearch/eocFkTYMQnSTUar94A2vHw
>>>>>>>>>> [2014-05-04 13:30:18,790][INFO ][http                     ]
>>>>>>>>>> [Sabretooth] bound_address {inet[/0:0:0:0:0:0:0:0:9200]}, 
>>>>>>>>>> publish_address
>>>>>>>>>> {inet[/10.109.136.59:9200]}
>>>>>>>>>> [2014-05-04 13:30:19,976][INFO ][gateway                  ]
>>>>>>>>>> [Sabretooth] recovered [278] indices into cluster_state
>>>>>>>>>> [2014-05-04 13:30:19,984][INFO ][node                     ]
>>>>>>>>>> [Sabretooth] started
>>>>>>>>>> OpenJDK 64-Bit Server VM warning: Attempt to protect stack guard
>>>>>>>>>> pages failed.
>>>>>>>>>> OpenJDK 64-Bit Server VM warning: Attempt to deallocate stack
>>>>>>>>>> guard pages failed.
>>>>>>>>>> OpenJDK 64-Bit Server VM warning: INFO: os::commit_memory(
>>>>>>>>>> 0x00000007f7c70000, 196608, 0) failed; error='Cannot allocate
>>>>>>>>>> memory' (errno=12)
>>>>>>>>>> #
>>>>>>>>>> # There is insufficient memory for the Java Runtime Environment
>>>>>>>>>> to continue.
>>>>>>>>>> # Native memory allocation (malloc) failed to allocate 196608
>>>>>>>>>> bytes for committing reserved memory.
>>>>>>>>>> # An error report file with more information is saved as:
>>>>>>>>>> # /tmp/jvm-19309/hs_error.log
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> ----
>>>>>>>>>> *user untergeek on #logstash told me that I have reached a max
>>>>>>>>>> number of indices on a single node. Here are my questions: *
>>>>>>>>>>
>>>>>>>>>>    1. Can I move half of my indexes to a new node ? If yes, how
>>>>>>>>>>    to do that without compromising indexes
>>>>>>>>>>    2. Logstash makes 1 index per day and I want to have 2 years
>>>>>>>>>>    of data indexable ; Can I combine multiple indexes into one ? 
>>>>>>>>>> Like one
>>>>>>>>>>    month per month : this will mean I will not have more than 24 
>>>>>>>>>> indexes.
>>>>>>>>>>    3. How many nodes are ideal for 24 moths of data ~1.5G a day
>>>>>>>>>>
>>>>>>>>>>  --
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>>>>>>>> To view this discussion on the web visit
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>>>>>>>> .
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