Loading log file into ES: poor performance


I am loading the existing log file into ES using filebeat. I have a single-node setup.


  • paths: [ "/data/test.log" ]

hosts: ["localhost:9200"]
pipeline: test-pipeline

My pipeline is defined as follows:
"processors" : [
"grok" : {
"field": "message",
"patterns": [ "%{TIMESTAMP_ISO8601:date} %{NUMBER:reqtime} %{NUMBER:http
code} %{IP:ip} %{GREEDYDATA:text}" ]
"date": {
"field": "date",
"target_field": "@timestamp",
"formats": [ "yyyy-MM-dd HH:mm:ss" ]
"date": {
"field": "date",
"target_field": "date",
"formats": [ "yyyy-MM-dd HH:mm:ss" ]
"date_index_name" : {
"field" : "date",
"index_name_prefix" : "testidx-",
"date_rounding" : "d"

Log lines are loaded about 100 per second, filebeat process consumes about 2% of CPU, java process (elasticsearch) consumes about 20%-40% of CPU (this is 32 core server).

path.data is on software RAID6, and I see disks participating is this raid6 are about 50% busy (looks pretty high load provided log lines are just small HTTP requests).

Anything special should I tune to speed this process up (well, at least 10x times)?


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