Hi,
When I try to run a query with a range query rescorer, Elasticsearch
(version 1.3.2) will raise an java.lang.UnsupportedOperationException
on org.apache.lucene.search.Query.extractTerms. The exact class raising the
exception was NumericRangeQuery in my test.
After some investigations, I fo
Hello,
I have a test cluster of 2 ES nodes (Elasticsearch 1.1.1-1).
I've noticed that whenever the number of unassigned shards increases past a
threshold, the cluster stops accepting Write operations.
*Example1*:
nodes: 2
primary shards: 6
replicas: 1
The cluster works as expected.
*Example
Hi Norberto,
Thank you for your advices. This is really helpful, since I have never used
elasticsearch in the cluster before, and never had went live with a number
of users. My previous experience was on ES single node and very small
number of users, so I'm still concern how this will work. Th
bump
On Wednesday, October 8, 2014 4:16:42 PM UTC+2, Aris Alexis wrote:
>
> Hi,
>
> first of all I am a noob with elastic so bear with me.
>
> I am interested to know if this scenario is possible:
>
> A user posts some text , my app detects the language and index the text
> with the spanish analy
Hello:
My query would returns 1 hits sorted. I'd like client app to only skip
by 100 hits before retrieve next hit
For examle, retrieve only 1st, 101th, 201th, 301th,... 901th, I'd like
this to be done at server side
so server will only return the needed hits, instead of return all 100
Hi,
The copy_to parameter can work in my case.
Thanks
mails from lucene mail list=
> 'Internally this is indexing every field a second time into the
"_all" field.'
> This sentence mean second indexing has total different analyzer and
> indexing
I have ES nodes in ec2 with both with local ephemeral SSD disks and large
EBS disks
New indexes are created on daily basis.
I want current day index to be created and on SSD disks
with number_of_replicas = 1
Once the day ends i want to move the index to EBS disks and change
the number_of_replicas t
Only set ES_HAP_SIZE, there is no point setting all 3 separately.
Best practise is to use 50% of system RAM, in your case that'd be 15GB.
Regards,
Mark Walkom
Infrastructure Engineer
Campaign Monitor
email: ma...@campaignmonitor.com
web: www.campaignmonitor.com
On 11 October 2014 20:20, Deepak R
Hi All,
We are using elasticsearch in production . Currently we are planning to
migrate on bigger ( 30 GB RAM/ 8 core CPU ) server .
Can anyone suggest us what would be best values for ES_HEAP_SIZE ,
ES_MIN_MEM , ES_MAX_MEM if RAM memory is 30 GB .
Thanks
Deepak
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You received this me
We use VMs as we knew the tech, we did consider containers (eg docker) but
they were still new to us and considered a risk.
Running multiple instance on a single node can work, you just need to be
able to manage it. The Elasticsearch puppet module lets you do this though.
Regards,
Mark Walkom
In
You don't store data in memory in ES, it is only pulled into memory when
querying.
For your queries, check out
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-request-preference.html
Not sure what you are thinking about DR here, but if the primary shard
disappears (ie
A and B should be ok, not sure on C as I believe that a/sync is on an index
level and would apply to any and all replicas.
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/docs-index_.html#index-replication
Regards,
Mark Walkom
Infrastructure Engineer
Campaign Monitor
email:
Why not use aliases?
This way you can move larger customers to their own index if need be.
Regards,
Mark Walkom
Infrastructure Engineer
Campaign Monitor
email: ma...@campaignmonitor.com
web: www.campaignmonitor.com
On 11 October 2014 01:54, jnortey wrote:
> Lets say that I was providing a ser
>From what I understand (which may not be 100% right), most of the overhead
is with generating and dealing with the HTTP request as it's a heavy
operation.
Regards,
Mark Walkom
Infrastructure Engineer
Campaign Monitor
email: ma...@campaignmonitor.com
web: www.campaignmonitor.com
On 11 October 20
RAM is cheap and the best method to achieve highest performance in ES.
You can try search benchmarks on ES clusters with > 8 GB RAM and > 4 GB
heap plus mlockall. Either with SSD or HDD you will see only tiny
difference in response times after warmup. If you are only after search
performance, the
Have you tried log4j SMTP appender?
Regarding JDBC exception, I will add a documentation how to set up log4j2
http://logging.apache.org/log4j/2.0/manual/appenders.html#SMTPAppender
in the next version of JDBC river/plugin.
Jörg
On Sat, Oct 11, 2014 at 8:49 AM, Prasad Lele
wrote:
> Hi frnds,
A third option has come to my mind:
How about starting several nodes on one server? Any known disadvantages for
this option compared to virtual machines?
Cheers,
Jan
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