One of the most common challenges with big data is dealing with increasing volume of data. The traditional solution in ElasticSearch is dynamically creating new indices - which means that the latest documents are found in the new created indices. This allows implementing Hot/Warm Architecture with built-in mechanism like rollover index and index lifecycle management.
I wounder: Instead of dynamically creating new indices, is there a way of dynamically creating new shards? This approach is supported in Solr: there is an API for creating new empty shards in existing index. Is there any way to do so in ElasticSearch? I haven't seen any API allowing creating new shards dynamically as solr implemented. Only noticed shrinking index to lower shards or splitting index to more shards - but not an option to create a new empty shard.
The motivation in dynamic shards instead if dynamic indices - is that ranking between documents in the same index is much more accurate than ranking documents between different indices (distributed TF/IDF).