8GB memory usage of browser - freezing

(Wolfram Klug) #1

Kibana version: 5.1.2

Elasticsearch version: 5.1.2

Server OS version: Ubuntu AWS

Browser version:FFox 50.1

Browser OS version: MAC OS SIERRA 10.12

Steps to reproduce:
This visual:
"title": "flows_Bkup2",
"type": "area",
"params": {
"shareYAxis": true,
"addTooltip": true,
"addLegend": true,
"legendPosition": "right",
"smoothLines": false,
"scale": "linear",
"interpolate": "linear",
"mode": "stacked",
"times": [],
"addTimeMarker": false,
"defaultYExtents": false,
"setYExtents": false,
"yAxis": {}
"aggs": [
"id": "1",
"enabled": true,
"type": "sum",
"schema": "metric",
"params": {
"field": "FLOWS"
"id": "2",
"enabled": true,
"type": "terms",
"schema": "segment",
"params": {
"field": "@timestamp",
"size": 35000,
"order": "asc",
"orderBy": "_term"
"listeners": {}

Depending on high value for field "size"
screen shot 2017-01-26 at 12 59 03

Errors in browser console (if relevant):
Freezes, slow. Minimum takes 10 secs to load for every click
PC uses 8GB Mem

(Shaunak Kashyap) #2

Hi @wolframklug,

It looks like you have a very large number of x-axis buckets, which could be causing the memory issue you are seeing. I suspect your x-axis @timestamp interval is set to quite a high granularity. Could you try to make the interval use a lower granularity and see if that helps? So, for instance, if your interval is currently set to "Second", try changing it to "Minute" or "Hour".

Hope that helps,


(Wolfram Klug) #3

Hi Shaunak,
I appreciate that we even get replies on this forum. GREAT!
How can I set the granularity of the timestamp?


(Shaunak Kashyap) #4

In the visualization editor form on the left hand side of the page, there is a "buckets" section. Under that you have an "X-Axis" section. From your first screenshot it looked like you had it configured to use a "Date Histogram" aggregation on the "@timestamp" field. When you are configuring this aggregation, there is another form field called "Interval". That is where you can control the granularity of @timestamp, like so:

(Wolfram Klug) #5

Turning it into a date histogram was a good suggestions.

(system) #6

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