Hi All, We have started noticing in our environment that our query performance is starting to suffer for some of our datasets that span the roughly 1 year of data we keep online. We are looking into optimizations we can make to our Index / Shard configuration and I was wondering if there is a preferable way to configure our indexes / shards? Right now we create a new index for each week and have 22 shards per index (We have 22 data nodes). Would it be more optimal to reduce the number of indexes (index by month) and have larger shards? Our documents are kb in size so they are not all that big, we just have a lot of them.
The feedback we typically get back from support is just test and see. That is something we can do, but there is a fair amount of effort / time that we would need to put in to only find that it doesn't give us any benefit. I was just hoping some of the more experienced folks could provide some input on possible solutions. If all else fails, we can always try to test different configs. Thanks! -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to elasticsearch+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/12e73093-236b-4656-b6d5-960b31df7747%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
