I have a working ELK with input coming from filebeat prospecting several log files and sending them to logstash. Logstash retrieves the stream, filters that in order to match lines with some fields and then sends them into elasticsearch.
Now I would like to check before output to elasticsearch, if for a coming entry into elasticsearch, there is already an existing document. If yes, I want to apply another output plugin instead of elasticsearch.
Related
I've got two indexes one with customer data and the other with netflow.
I want to match the data while entering to the netflow index and match it with other index, if there is a match I want to mutate the data and add the customer id.
I tried using logstash but nothing works ok :|
any ideas?
Thanks in advice
Logstash looks to be the best strategy.
You can use a logstash input to read your netflow index (or use logstash to ingest your netflow directly)
Then in an elasticsearch filter you will query your customer index, find the good customer document, and add the data on your netflow event.
In an elasticsearch output, you update (or ingest) your enhanced netflow document.
I use this strategy for data fixes and data enhancement, when a enrich processor is not the good strategy.
I have a large ingestion pipeline, and sometimes it takes awhile for things to progress from source to the Elasticsearch index. Currently, when we parse our messages with Logstash, we parse the #timestamp field based on when the message was written by the source. However, due to large volumes of messages, it takes a currently unknown and possibly very inconsistent length of time to travel from the source producer before it's ingested by Logstash and sent to the Elasticsearch index.
Is there a way to add a field to the Elasticsearch output plugin for Logstash that will mark when a message is sent to Elasticsearch?
You can try to add a ruby filter as your last filter to create a field with the current time.
ruby {
code => "event.set('fieldName', Time.now())"
}
You can do it in an ingest pipeline. That means the script is executed in elasticsearch, so it has the advantage of including any delays caused by back-pressure from the output.
So I'm reading in several different file types using Filebeat. I set the document_type for each kind of file I am harvesting. My problem is that I want to send most of these file types to Logstash, but there are certain types I wish to send directly to Elasticsearch.
Is it possible to select the output depending on file type? I know multiple outputs are allowed, but this sends all the data into both elasticsearch and logstash so it's going to get inserted into Elasticsearch twice, which will take up too much space. Thanks!
Filebeat ships events to one endpoint, all routing should be done in Logstash.
I am using filebeat to send multiple files to Logstash but I am not able to map which file has which status So what are the possible ways to track mapped data for each log file.
You can use source field which is coming from filebeat to filter your logs. Please check the documentation for more information.
The file from which the line was read. This field contains the full path to the file. For example: /var/log/system.log.
You can give not_analyzed property for this field to filter more effectively.
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