Does anyone know of a way to generate heatmaps in Kibana?
What I'm looking for is something similar to the clusters in bettermap, but continuous (and color-coded).
The only prerequisite is to have a geoip.location field.
If you're using an log which provide the requester origin IP you can easily get the Longitude, Latitude and then convert those values to the required geoip.coordinates field, and then the location
In kibana 4 beta:
open the Visualize tab
select tile map object
in the metrics value select the desired criteria from the drop down list, e.g. unique count
select the relevant field, e.g. hostip
in the buckets select Geo Coordinates
in the field select geoip.location
select the require percision (this might be important if you don't have a lot of data)
select the view option, you can toggle between change in color or size of circle
BTW, if you're using logstash to send the request to elasticsearch you can use the dns filter to reverse IP to coordinates
logstash dns filter
Heatmap support for Kibana 4 is on the way - and it's looking good.
Apparently the delay is that is has to be rewritten slightly to use SVG rather than it's current approach.
https://github.com/elastic/kibana/issues/1265
In Kibana 4, the index field has to be explicity defined as a geo_ip type in your mapping. Kibana 3 was able to correctly interpret floats etc. as coordinates, but as of now 4 does not. Once you change it you will have to reindex your data, and it should be all set.
Related
Hy all, i am using grafana with rockset to collect real time series form our dynamodb database, but we have the next problem in the plugin maps.
My data with the next query:
select country,real,_event_time from commons.Players
is
'US' '0.5' '2020-05-27T08:40:51.548000Z',
'UK' '0.2' '2020-05-27T08:40:50.548000Z'
I read that i must pase the country code in the group by:
select
country,sum(real) as total ,_event_time
from commons.Players
group by _event_time,country
but this doesn't work, I select the correct type of location data (countries) but impossible to see anything.
I don't have problem with any kind of graph but in the map is impossible to my to see the information. I have read documentation and really I don't understand the query that i must use in this part to see the data.
Thanks for everything.
You didn't post your panel configuration so it is blind guess. Use query:
SELECT
_event_time AS "time",
country AS "code",
real
FROM commons.Players
and configure Map Data Options->Location Data: countries to "translate" 2 letter country code to map coordinates.
I am trying out some timelion visualizations in Kibana. In it I am not sure how to provide filter tab for the data.
For example, yearly country population data and filter tab to filter it based on zone and state.
Usually a timelion expression is just like ".es()" and some functions which can be appended to it like
.es(*).bars().label("Population")
I don't want to specify filter under ".es(q=???)" as this will make the filter static and the user won't be able to use filtering directly. ( In this case, every time user has to go to edit timelion window and edit filter there.)
you can specify a lucene query string as the q argument to .es() as in
.es(q=field:value)
That query string would only affect this time series and not interfere with the rest of your dashboard.
I want to know the query for kibana, i tried terms and agg, but didnt get right output, so need to filter the data based on distinct query in kibana.
I want to apply query in following input data in elasticsearch
Rows and columns
CELLID|MCC|MNC|
1222|405|861|
1222|405|861|
1222|405|122|
1233|406|861|
1233|406|861|
1224|407|777|
1224|407|777|
need to apply query such a way, it will remove the same CELL ID with different MNC, so expecting output like this
CELLID|MCC|MNC|
1233|406|861|
1233|406|861|
1224|407|777|
1224|407|777|
As you know, it's impossible to have such row vs column infrastructure within Kibana graphs as of now. Cos this feature is yet be made to the new versions as an enhancement.
But then if you're simply trying to print out the count|sum or let it be whatever the aggregation you need, you can have a Data Table visualization with a metric of count and then within your buckets you could define multiple terms-aggregation. In your case, you should have CELLID|MCC|MNC being split by terms-aggregation which should do the job for you. Hope this helps!
I am having a field named rpc in my elasticsearch database and I am displaying it using Kibana. When I search in search bar of kibana like:
rpc:*
It display all the values of rpc field but I want to have only those value to be displayed which are unique.
I have been playing around with Kibana4 since a couple of weeks now. I find it intuitive and simple and the experience has been great till now. Following your question, I tried getting unique results via a Data Table visualization. Why? Because I personally find it easier to understand. Following are the steps:
1. Get unique count
Create the visualization (Visualize -> Data Table). First lets get
the count of how many unique entries we have for a particular field
(We will use this in the later part for verification). I'm using
clientip.raw but as I see, it will work just fine with any friendly
field name too.
2. Set the aggregation right
Set you aggregation back to count and have a Split Rows as follows. Not doing this will give you count 1 for each field value (since it is looking for unique counts) when you populate the table. Noteworthy part is setting the Top field to 0. Because Kibana won't let you enter anything else than a digit (Obviously!). This was the tricky part. Hit Apply and you'll get the results. Unique field values and the count of each of them.
3. Verification:
Going to the last page of the table, we see there are exactly 543 results. This is how I know it works.
What Next?
You save this visualization and add it to a Dashboard. There you can always check the request, query, response and other stats.
Just an addition to the above mathakoot answer.
For the user of newer version (which do not allow bucket size of 0 anymore) just set a value greater than the maximum number of result
And report the value in the Options>Per Page field
I am using Kibana 6 so the UI looks a bit different than the older answers here.
Here is what worked for me
Create a visualization from your query, I used a line graph type (don't think it matters)
Under Data, set metrics aggregation = "Unique Count" and set field to your field.
Set x-axis aggregation = "Terms" and set field to your field.
Set Size > your number of records
Under Metrics and Axes, disable drawing of the graph, circles, and labels (this really helps the UI not lag)
Run query and then click "Inspect" and download CSV
Data
Metrics & Axes
I wanted to achieve something similar but I'm stuck with Kibana 3.1.
I simply added a panel of type "TERMS" and configured its Field = User-agent and left everything else on default values. This gave me a nice bar chart with one bar for each User-agent.
I curled the sample bank data to elasticsearch. On Kibana I see under the Indices bank and on visualize all the fields (age, balance, etc.) on the left but cannot see charts on the right. It always says No Results Found. On the left I selected Y-Axis - Agg as Average and Field as Balance and X-Axis Agg as Terms and Field as Age, all from drop downs. Then I used the APPLY action. No error is displayed, but neither is a chart.
What am I doing wrong here? Using curl I can check the elastic search and see that the data exists. No matter what I do, I do not see any logging in the elasticsearch logs under /usr/share/elasticsearch/logs.
I don't know if you figured this out or not but I had the exact same problem. I was using a mapping type that did not contain the field I was trying to visualize. Make sure the _type field contains a mapping with the correct indexed fields.
When setting up my initial index patterns, I glossed over specifying the 'Default timestamp' field, and the UI didn't insist on having one. The fix was to delete my index patterns and re-create them them, with the specified timestamp field. Everything snapped into place.