Is there a similar way in OpenSearch to get the Index Stats that is available in ElasticSearch Stack Monitoring for example the Advanced Index stats like cache usage etc.
Thanks.
Related
I am new to elasticsearch , need to analyze elasticsearch index utilisation , please, advice best practices on how can I collect statistics on queries sent to elasticsearch or particular index and sort by frequency so I can identify at later stage if any optimisations can be done from application side ?
Thanks
I want to monitor a list of keywords in a certain index and write these events in a new index
after a little search, I found the way for that using Elasticsearch query in stack alerts but I can't find it
I found the index threshold only under Elasticsearch query.
so how to enable Elasticsearch query.
Kibana version 7.11.2
Kibana version 7.11.2 doesn't support Elasticksearch query in stack alerts we have to upgrade kibana version to be 7.16
Is it possible to see which are the most popular searched phrases/words within a particular index in elasticsearch.
Can this be set up in kibana at all.
You can do that by using Search Slow log - https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-slowlog.html
You can set the slow log setting dynamically too. Once this is set you should see the logs in index_search_slowlog.log. Ingest these logs back to elasticsearch and visualize in kibana. You can create the dashboard from this data.
We use these slow logs to monitor slow queries, popular queries etc.
How are events indexed and stored by Elasticsearch when using ELK (Elastichsearch, Logstash, Kibana)
How does Elasticsearch work in ELK
Looks like you got downvoted for not just reading up at elastic.co, but...
logstash picks up unstructured data from log files and other sources, transforms it into structured data, and inserts it into elasticsearch.
elasticsearch is the document repository. While it's not useful for log information, it's a text engine at heart and can analyze the data (tokenization, stop words, stemming, etc).
kibana reads from elasticsearch and allows you to explore the data and make dashboards.
That's the 30,000-ft overview.
Elasticsearch have the function of database on ELK Stack.
You can read more information about Elasticsearch and ELK Stack here: https://www.elastic.co/guide/en/elasticsearch/guide/current/index.html.
first of all you will have logs file that you used to write system logs on it
for example when you add new record to database you will write the record in any form you need to log file like
date,"name":"system","serial":"1234" .....
after that you will add your configuration in logstash to parse the data from the logs
and it will be like
name : system
.....
and the data will saved in elastic search
kibana is used to preview the elastic search data
and you can use send a request to elasticsearch with the required query and get your data from it
We use ElasticSearch for our tool's real time metrics and analytics part. ElasticSearch is very cool and fast when we are query our data. (statiticial facets and terms facet)
But we have problem when we try to index our hourly data. We collect every our metric data from other services. First we collect data from other services and save them RabbitMQ process. But when queue worker runs our all hourly data not index to ES. Usually %40 of data index in ES and other them lost.
So what is your idea about when index ES under high traffic ?
I've posted answers to other similar questions:
Ways to improve first time indexing in ElasticSearch
Performance issues using Elasticsearch as a time window storage (latter part of my answer applies)
Additionally, instead of a custom 'queue worker' have you considered using a 'river'? For more information see:
http://www.elasticsearch.org/blog/the-river/
http://www.elasticsearch.org/guide/reference/river/