I am exploring ELK stack and coming across an issue.
I have generated logs, forwarded the logs to logstash, logs are in JSON format so they are pushed directly into ES with only JSON filter in Logstash config, connected and started Kibana pointing to the ES.
Logstash Config:
filter {
json {
source => "message"
}
Now I have indexes created for each day's log and Kibana happily shows all of the logs from all indexes.
My issue is: there are many fields in logs which are not enabled/indexed for filtering in Kibana. When I try to add them to the filer in Kibana, it says "unindexed fields cannot be searched".
Note: these are not sys/apache log. There are custom logs in JSON format.
Log format:
{"message":"ResponseDetails","#version":"1","#timestamp":"2015-05-23T03:18:51.782Z","type":"myGateway","file":"/tmp/myGatewayy.logstash","host":"localhost","offset":"1072","data":"text/javascript","statusCode":200,"correlationId":"a017db4ebf411edd3a79c6f86a3c0c2f","docType":"myGateway","level":"info","timestamp":"2015-05-23T03:15:58.796Z"}
fields like 'statusCode', 'correlationId' are not getting indexed. Any reason why?
Do I need to give a Mapping file to ES to ask it to index either all or given fields?
You've updated the Kibana field list?
Kibana.
Settings.
Reload field list.
Newer version:
Kibana.
Management.
Refresh icon on the top right.
As of 6.4.0:
The warning description puts it very simply:
Management > Index Patterns > Select your Index > Press the refresh button in the top right corner.
If you try to refresh and you can't solve it try to change index.blocks.write: "false"
enter image description here
Related
I am new to the ELK and i am in the progress of learning it. In my project, they are importing the data from Amazon S3 -> File Beat -> logstash -> Elastic search -> Kibanna.
In the logstash file, they have directly importing the data and sending to the Elastic search something like below and there was no indexes mentioned in the config file,
output elasticsearch
{
hosts => ["http://localhost:9200"]
}
In Amazon s3, we have logs from Salesforce and in future we are going to implement from multiple sources.
In Elastic search, i could see 41 indexes(Used Get Curl script) is present. Assume if we keep the same setup in logstash, then all logs(Multiple sources) will be sent to elastic search in same manner. I would like to know how the data is getting mapped to the particular index in elastic search ??
In many tutorials, they have given indexes in the logstash config file so in kibanna we could see the index name along with timestamp. I have tried to check by placing a sample Mulesoft log file in Amazon S3 but i cant able to find those data in Kibanna. So shall i need to create one more new index with a name Mule along with mappings??
There is no ELK expert in my project so please guide me on how to approach this one or any references will be more helpful.
This page (https://www.elastic.co/guide/en/logstash/current/plugins-outputs-elasticsearch.html) documents Logstash's Elasticsearch output plugin.
As you can see in the Configuration Options section, the option index is not mandatory. If this option is not specified, its default-value is logstash-%{+YYYY.MM.dd}.
With that being said, the documents will get indexed into indices with the prefix 'logstash-' followed by the date of ingestion. For example:
logstash-2020.04.07
logstash-2020.04.08
Since someone in your organization has chosen to go with the default value, this option can be left out. This explains why you can't find a particular index name in the Logstash configuration. If you need to index documents into different indices, then you'd have to set a particular value for the index option.
Elasticsearch will automatically create these indices with a dynamic mapping (https://www.elastic.co/guide/en/elasticsearch/reference/current/dynamic-mapping.html) if you haven't setup an explicit mapping via index templates in advance. In order to see the data in kibana, you first need to create an index pattern matching the index name.
I hope I could help you.
I tried to enable logs in the elastic search server using the below link
https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-slowlog.html
I verified my index setting using the url
http://localhost:9200/_all/_settings
The result is below
{"myindex":{"settings":{"index":{"search":{"slowlog":{"threshold":{"fetch":{"warn":"1ms","trace":"1ms","debug":"1ms","info":"1ms"},"query":{"warn":"1ms","trace":"1ms","debug":"1ms","info":"1ms"}}}},"number_of_shards":"3","provided_name":"occindex","creation_date":"1508319257925","number_of_replicas":"2","uuid":"dVAWgk62Sgivzr2B_OuCzA","version":{"created":"5040399"}}}}}
As per the document, I expect the logs to be populated when the threshold is breached.
I have set 1 ms as the threshold in order to log all queries that are hitting elastic search
I observed that under logs folder , the log files elasticsearch_index_search_slowlog.log and elasticsearch.log does not show the queries which are hitting elastic search.
Let me know if my configuration is correct.
The log worked after I inserted one record.
If you fire the query when there are no records in the index , the log was not updated
Kibana's UI allows the user to create a scripted field which is stored as part of the index (screenshot below). How can that be done programatically? In particular, using either the NEST client or the Elasticsearch low level client.
Kibana UI for the Indice with the Scripted Fields tab highlighted
Note that I am not asking how to create add an expression/script field as part of a query, I'm specifically looking for how to add it as part of the Index when the mapping is created so that queries can reference it without having to explicitly include it.
Kibana dashboards are stored in the .kibana index. To export dashboards, you can query the Kibana index as you would any other index. For example, curl -XGET http://localhost:9200/.kibana/_search?type=dashboard&pretty would show the JSON for your dashboards. You could export the template, add the scripted field to the JSON, and then POST it again. Since Kibana uses a standard Elasticsearch index, the normal Elasticsearch API would apply to modifying Kibana dashboards. This may provide a little more clarification.
At the time of writing, current version 5.2 does not have an official way to do this.
This is how I do it:
Get index fields: GET /.kibana/index-pattern/YOUR_INDEX
Add your scripted field to _source.fields (as string, notice scaped quotation marks)
"fields":"[...,{\"name\":\"test\",\"type\":\"number\",\"count\":0,\"scripted\":true,\"script\":\"doc['area_id'].value\",\"lang\":\"painless\",\"indexed\":false,\"analyzed\":false,\"doc_values\":false,\"searchable\":true,\"aggregatable\":true}]"
Post back _source json to /.kibana/index-pattern/YOUR_INDEX
{
"title":"YOUR_INDEX",
"timeFieldName":"time",
"fields":"[...,{\"name\":\"test\",...}]"
}
I have Kibana 4.0.1 running on top of elasticsearch 1.4.4. It was very smooth and virtually had no setup time. Suddenly I have run into a problem.
If I add a new field in my elasticsearch index, it's not visible in fields section. I can still query on that field in discover section. But, I can't make a graph based on the new field as it's not visible in fields list.
Kibana apparently fetches _mapping at the time of setup and stores it in elasticsearch index named .kibana. Once done, it never changes that. Deleting this index should load fresh _mapping from elasticsearch. But I don't want to lose all the saved dashboards and visualizations.
Is there a was to force Kibana to load fresh mapping at regular interval?
Yes in the settings tab you can refresh the index. Check the yellow refresh botton in the image below.
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