oracle. Yes I saw that, but I didn't see anything in the release notes 
mentioning a performance difference in the 2 jdks. I think there was something 
about some bugfixes. Unless there was something specific, I wouldn't think a 
minor jdk version would cause a huge performance drop, though I guess stranger 
things have happened.

On May 8, 2014, at 6:57 PM, Mark Walkom <[email protected]> wrote:

> OpenJDK or Oracle?
> 
> (The current recommended version is 1.7.0_55.)
> 
> Regards,
> Mark Walkom
> 
> Infrastructure Engineer
> Campaign Monitor
> email: [email protected]
> web: www.campaignmonitor.com
> 
> 
> On 9 May 2014 08:55, Kireet <[email protected]> wrote:
> 1.7.0_17
> 
> On May 8, 2014, at 6:52 PM, Mark Walkom <[email protected]> wrote:
> 
>> What java version?
>> 
>> Regards,
>> Mark Walkom
>> 
>> Infrastructure Engineer
>> Campaign Monitor
>> email: [email protected]
>> web: www.campaignmonitor.com
>> 
>> 
>> On 9 May 2014 08:39, Kireet <[email protected]> wrote:
>> I tried various counts, after a certain point they didn't make much 
>> difference. Also I am not necessarily concerned with improving performance 
>> as much as figuring out why I got a slowdown with the exact same settings in 
>> 1.1.1. I want to be sure we didn't miss some configuration somewhere or some 
>> other issue. Thanks!
>> 
>> 
>> On May 8, 2014, at 6:32 PM, Mark Walkom <[email protected]> wrote:
>> 
>>> Can you yry increasing your bulk count to 1000, or more?
>>> 
>>> Regards,
>>> Mark Walkom
>>> 
>>> Infrastructure Engineer
>>> Campaign Monitor
>>> email: [email protected]
>>> web: www.campaignmonitor.com
>>> 
>>> 
>>> On 9 May 2014 05:01, slushi <[email protected]> wrote:
>>> We are testing out release 1.1.1 and during our indexing performance 
>>> testing, we seemed to get significantly slower throughput, the 
>>> document/second rate is about 30% slower. We used the exact same yml file 
>>> and startup settings. The code is also identical except for the breaking 
>>> changes in the java client api (in this case minor naming changes) and 
>>> different elasticsearch/lucene jars. 
>>> 
>>> We have a 4 node test cluster. The test basically creates an index with 4 
>>> shards and no replicas/refreshing. We are indexing documents that are about 
>>> 2KB each using the bulk api (500 documents per request). 
>>> 
>>> Below is some environment info and some settings that we changed from the 
>>> default.
>>> 
>>> MemTotal:       99016988 kB
>>> 
>>> ES_HEAP_SIZE=24g
>>> 
>>> MAX_OPEN_FILES=65535
>>> 
>>> /etc/elasticsearch/elasticsearch.yml :
>>> 
>>> cluster.name: estest
>>> 
>>> node.name: "es1"
>>> 
>>> node.rack: rack2
>>> 
>>> bootstrap.mlockall: true
>>> network.host: 1.2.3.4
>>> 
>>> gateway.recover_after_nodes: 3
>>> 
>>> gateway.expected_nodes: 3
>>> 
>>> discovery.zen.minimum_master_nodes: 1
>>> 
>>> discovery.zen.ping.multicast.enabled: false
>>> 
>>> discovery.zen.ping.unicast.hosts: ["es1", "es2", "es3", "es4"]
>>> indices.memory.index_buffer_size: 50%
>>> 
>>> index.translog.flush_threshold_ops: 50000
>>> 
>>> threadpool.search.type: fixed
>>> 
>>> threadpool.search.size: 20
>>> 
>>> threadpool.search.queue_size: 100
>>> 
>>> threadpool.index.type: fixed
>>> threadpool.index.size: 60
>>> 
>>> threadpool.index.queue_size: 200
>>> 
>>> threadpool.bulk.type: fixed
>>> 
>>> threadpool.bulk.size: 50
>>> 
>>> threadpool.bulk.queue_size: 1000
>>> 
>>> cluster.routing.allocation.awareness.attributes: rack
>>> 
>>> 
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