Hi all, I'm currently in a development phase, so i'm testing my devs on my local machine (a mac book pro with 16Gb ram, and a 512G SSD, 4 cores).
Processor Name: Intel Core i7 Processor Speed: 2,3 GHz Number of Processors: 1 Total Number of Cores: 4 L2 Cache (per Core): 256 KB L3 Cache: 6 MB Memory: 16 GB I set up a one node / one shard / no replica ES node where i index approx 264k documents in bulk mode (takes 16s including preparation time). Then on my application i see a table with my data, and i can create facets on columns. When i have more than one facet, it begins to become difficult for ES. Checking one facet value updates the table data (filtering on the selected facet value), and updates the other facet(s), to get facet values on filtered data only. This is when i select one facet value that ES begins to use 100 % cpu (i even saw 220% in top command result), and i don't really know why. Basically i send 2 queries, one faceting query with filtering the other is the table data query with filters. Do you have any idea what could cause the high cpu load on ES local node ? (For info i gave ES node 5g of memory (Xmx and Xms)). -- 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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/ffd251a8-08c7-45c2-8436-e7ca86354bc8%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
