I want to log all the queries made to Elasticsearch along with their response bodies in kibana.
Is there a way to do that?
I came to know a way to set. t he slowlogs threshold to 0 and log all the queries i slowlogs and then use filebeat to push those queries to kibana.
Is there any other way to do that
As far as I know, this is not available atleast in basic and free version and even if you set search slowlog threshold to 0ms it will just log the search query and other metadata of search query but wouldn't log the search query response.
It would be better to do this in your application which generated the search query and parse the response, then using filebeat you can send the application logs to Elasticsearch.
Related
I am pretty new to elasticsearch and I want to create statistics and kibana dashboards on queries sent to elasticsearch index , what is the best approach to do so ? Any advice or recommendations will be highly appreciated?
The idea is to analyze all queries sent to the index and do some performance optimisation in the future when the userbase increase ...
I am planning for the moment to store the logs in different index , but parsing seems to be kind of complex activity ...
Ideally I need to have:
-Counting of user queries
-Counting of queries that returned no results
-Logging of all search terms
-Sorting of queries, and queries that returned no results, by most frequently contained search term
-A view of top queries, including the search term not found results for and the exact query
-A view of top queries returning no results, including the search term not found results for and the exact query
Thanks
There is no OOTB functionality available in Elasticsearch for search analysis. But there are some workaround you can do for same and get information what you are asking.
First option, you can enable slow log in Elasticsearch by executing below command and it will log each and every request to coming to Elasticsearch.
PUT /my-index-000001/_settings
{
"index.search.slowlog.threshold.query.info": "0s",
"index.search.slowlog.threshold.fetch.info": "0s"
}
Second option, You can log all the query the application layer or intermediate level using which application and elasticsearch talking to each other.
Once you have logs, You can configured Logstash / Filebeat / Fleet to read log and transform and index to Elasticsearch. Logstash provide differnt kind of filter which you can use and easily transofrm your plain text logs to strcture logs (grok filter).
I have a Elasticsearch cluster running on AWS Elasticsearch instance. It is up running for a few months. I'd like to know the most used query requests over the last few months. Does Elasticsearch save all queries somewhere I can search? Or do I have to programmatically save the requests for analysis?
As far as I'm aware, Elasticsearch doesn't by default save a record or frequency histogram of all queries. However, there's a way you could have it log all queries, and then ship the logs somewhere to be aggregated/searched for the top results (incidentally this is something you could use Elasticsearch for :D). Sadly, you'll only be able to track queries after you configure this, I doubt that you'll be able to find any record of your historical queries the last few months.
To do this, you'd take advantage of Elasticsearch's slow query log. The default thresholds are designed to only log slow queries, but if you set those defaults to 0s then Elasticsearch would log any query as a slow query, giving you a record of all queries. See that link above for detailed instructions how, you could set this for a whole cluster in your yaml configuration file like
index.search.slowlog.threshold.fetch.debug: 0s
or set it dynamically per-index with
PUT /<my-index-name>/_settings
{
"index.search.slowlog.threshold.query.debug": "0s"
}
To be clear the log level you choose doesn't strictly matter, but utilizing debug for this would allow you to keep logging actually slow queries at the more dangerous levels like info and warn, which you might find useful.
I'm not familiar with how to configure an AWS elasticsearch cluster, but as the above are core Elasticsearch settings in all the versions I'm aware of there should be a way to do it.
Happy searching!
I have a field in elastic search loaded that has information in it as:
message: Requesting 30 containers
message: Requesting 40 containers
.
.
.
message: Requesting 50 containers
I want to get a total of all containers used in the job. (30+40+50=120, in this case).
Is it more efficient to extract these values in a field in logstash and then use aggregation queries in elasticsearch or given the message above everything is possible in elasticsearch?
Also, if I write a aggregation query in Dev Tools of Kibana, then is it possible to store the result to be used for visualization?
It is better and is the solution to extract the number in logstash and then use it in aggregations
No , You cant use a string in sum aggregation , Everything is never possible
You dont need you write aggregation query in dev tools if you are using kibana , in kibana you can do aggregations without writing queries
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.
I want to send queries to Elasticsearch through the Elasticsearch plugin within Logstash for every event in process. However, Logstash sends requests to Elasticsearch in bulk and indexed events are not immediately made available for search in Elasticsearch. It seems to me that there will be a lag (up to in process a second or more) between an index passing through Logstash and it being searchable. I don't know how to solve this.
Do you have any idea ?
Thank you for your time.
Joe