Its never been a problem for me.

Normally for time series data you handle this by creating a new index every
day.  For non-time series data I basically do this:
http://www.elasticsearch.org/blog/changing-mapping-with-zero-downtime/

It has the advantage of letting me change the mapping and analysis
configuration in the process.

I can imagine situations where not having shard splitting would be painful
but I haven't been in any.

Nik

On Thu, Dec 11, 2014 at 4:20 PM, Gaurav gupta <gupta.gaurav0...@gmail.com>
wrote:

> Per,  http://thinkbiganalytics.com/solr-vs-elastic-search/ , ElasticSearch
> does not suport shard spiltting which Solr supports. Is it generally an
> issue in production, if yes what alternate user has :-
>
>
>
> Shard Splitting
>
> Shards are the partitioning unit for the Lucene index, both Solr and
> ElasticSearch have them. You can distribute your index by placing shards on
> different machines in a cluster. Until April 2013, both Solr and
> ElasticSearch would not allow you to change the number of shards in your
> index. So if you decided you wanted to split your index into 10 shards on
> day one, and two years later you want to add another 5 shards, you were not
> able to do that without completely starting over (reindexing everything).
> As of April 2013 Solr supports shard splitting
> <https://issues.apache.org/jira/browse/SOLR-3755>, which allows you to
> create more shards by splitting existing shards. ElasticSearch still does
> not support this.
>
> Thanks, Gaurav
>
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