Hi I downloaded the latest ES 1.1.1 I have a 200GB RAM with 2 x 8 cores hyper threaded. "32" cores total machine 1.6T of disk space.
I start elastic search as follows... ./elasticsearch -Xms100g -Xmx100g -Des.index.store.type=memory Using Java 1.7_51 I then create my index as follows... $ curl -XPUT http://localhost:9200/myindex/ -d \ ' index : store: type: memory ' And my Java web app (Using vertx.io) // On app startup... Ensure we have one instance of client. Regardless how many app threads may write to the index. synchronized(clientCreated) { if(clientCreated.compareAndSet(false, true)) { node = nodeBuilder().clusterName("elasticsearch").client(true).node(); client = node.client(); } } // Per request coming into my web application. Using vertx for the web framework. // For each request we use the one client instance. client.prepareIndex("myindex", "doc", request.getString("id")) .setSource(bodyStr) // Already sending Json so no need to convert it! .execute(new ActionListener<IndexResponse>(){ @Override public void onFailure(Throwable t) { req.response().end("Error: " + t.toString()); } @Override public void onResponse(IndexResponse res) { req.response().end(res.getIndex()); }}); Both the webapp and ES running on same server. So all write/read requests are localhost. Testing as follows JMeter (100 users, running on my desktop) ------ Remote ----> WebApp ----- localhost ----> ES I get about 6000 writes/sec and it seems to get lower as the number of docs that get indexed increases. Average request/response latency is about 15-20ms. Network Time/Jmeter data generation( Each document is about 1000 bytes)/web app is about 5 ms. I know this because I also have a simple hello world response to test the average latency of those 3 "parameters". So it seems that in-memory takes average 15ms I would think ES can do much better then that? Is there any tuning settings I can try for strictly in-memory index? 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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/dc7c69f8-d4ab-42f7-88dc-c165472c2892%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
