I am trying to visualize my data which is in elasticsearch and using Kibana5 for that.
But the problem is what Kibana visualizes is not realtime visualization. If I update my data then I need to visualize that again and need to reflect on my dashboard, but this is not what I am looking for.
This particular problem I am facing while I am trying to embed the iframe with some PHP script.
I want to know how I can automate the process? How I can make the visualization real time and also do not want to interfere many times?
Kindly suggest me what is the possible solution.
Kibana5 will constantly listen to the elastic search according to the refresh interval.So set refresh interval to a minimum value (around 5 sec) so that kibana will be update in every 5 seconds
Related
Is it possible to share a pre generated dashboard?
Some search on my dashboard take up to 5 minutes to complete so i was wondering if their was a way to save the result of my dashboard so people i share my dashboard with dont have to wait another 5min in order to see the results.
Use a scheduled search. Take the search out of the dashboard and have it run at some appropriate interval. In the dashboard, use the loadjob command to invoke the most recent results of the scheduled search.
This assumes, of course, that you've made all efforts to improve the search speed.
I've been reviewing different ways to aggregate log messages together that have a start event but no end event. Been struggling with the logstash aggregate filter plugin not sorting correctly and was looking at retrofitting an old entity-centric model for a previous version of elasticsearch Entity-Centric Indexing - Mark Harwood | Elastic Videos when I realized elasticsearch 7.13 transforms introduce the concept of 'latest' which negates my need for a bunch of external scripts (hopefully) to do this.
I am looking at the "Getting Web Session Details by using Scripted Metric Aggregation" sample painless script https://www.elastic.co/guide/en/elasticsearch/reference/current/transform-painless-examples.html#painless-web-session which produces session details, including session duration. Because the logs do not have an end-time, I need to make use of a timeout interval, something like a 30 minute window for aggregating message events based on my group by.
Is this possible to do within the transform by adjusting that script and could anyone help?
I am planing to use elastic search for our dashboard using spring boot based rest services. After research i see top 3 options
Option A:
Use Elastic Search Java API ( from comment looks like going to go away)
Use Elastic Search Java Rest Client
Use spring-data-elasticsearch ( planing to use es 5.6 but challenging for latest es 6 as I don't see it's supports right now)
Option B:
Or shall I use logstash approach to
Sync data between postgressql and elastic search using logstash ?
Which one among them will be long term approach to get near real time data from ES in high load scenario ??
Usecase: I need to save some data from postgresql table to elastic search for my dashboard (near real time )
Update is frequent for both tables and es
to maintain current state
Load is going to increase in couple of week
The options you listed, in essence, are: should you go with a ready to use solution (logstash) or should you implement your own.
Try logstash first to see if it works for you - it'll take less time than implementing your own solution, and you can get working solution in minutes (if it's not hundreds of tables)
If you want near-real time, then you need to figure out if it allows you to:
handle incremental updates, i.e. if its 'tracking_column' configuration will work for your data structure and it will only load updated records in each run, not the whole table.
run it at the desired frequency
and in general, satisfies your latency requirements
If you decide to go with your own solution, keep in mind that spring-data-elasticsearch is a higher level wrapper for underlying elasticsearch client. If there are latency goals, then working on the lower level (elasticsearch clients) may give you better control and more options to tune the pipeline.
Otherwise, the client choice will not matter that much as data feed features (volume/update frequency) and db/es cluster configuration.
Given an ElasticSearch Installation, I want to know current trends and insights. I am not sure if Aggregators would help here.
What are the top queries for last 24 hours?
Most frequently searched terms in last 24 hours? etc.
Most accessed documents in last 24 hours?
Is there any way to collect and get hold of these metrics from ElasticSearch.
A typical use case- As a user visits the homepage, i want to show the trending searches, and top content.
One alternative if you do not want to load your existing ElasticSearch installation with additional metrics is to send this data to a log management solution on the cloud -- such as Loggly, Logentries, etc.
I'm new to Kibana and Elastic Search and i have run into this problem:
My ES contains (among other stuff) also data containing the current value of one custom performance counter and i would like my dashboard to show this value, e.g., as a big number - therefore i tried to use the Metric visualization, but i have no idea on how to show only the last value. Any help would be highly appreciated. Thanks.
We had a similar issue for our use case. We found two ways to handle it:
If the data is periodically generated then you can use the Kibana feature of showing data of recent n days to see the latest data.
In our case, the above option was not possible so we went with a hack where we have a property in our documents called "IsLatest" so we apply a filter "IsLatest":true in all our charts where we need latest info. We have written our code which feeds data to ElasticSearch in such a way that it updates the older data and sets it's "IsLatest" to false.
Hope it helps