what if there are thousands of or even more types within an index (and keep
increasing quickly) , it will consume more heap size and impact the
performance of the cluster ?
I don't think this should cause any issues. Types in Elasticsearch is
similar to "tables" in any relational data base. Your memory/performance
will ultimately depend on
types of queries your use
amount of data you index
most important, kind of hardware you use to run Elasticsearch
On Sunday, 1 February 2015 21:48:46 UTC-8, 潘飞 wrote:
what if there are thousands of or even more types within an index (and
keep increasing quickly) , it will consume more heap size and impact the
performance of the cluster ?
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