So I have an index in elasticsearch, and I want to search and visualize the index with Kibana. But several fields are not indexed by Kibana, and have this bubble:
This field is not indexed thus unavailable for visualization and search.
This is a snippet of one of the fields that is not indexed by Kibana:
"_event_name" : {
"type" : "string"
},
I tried to enter Kibana's index settings and click "Reload field list", but it doesn't help.
Does anyone knows what could be the problem?
Thanks in advance
The fields might not be indexed as mentioned here.
Apparently, Kibana doesn't index fields that start with underscore.
How are you loading the data into Elasticsearch? Logstash? A Beat? curl? Please describe that and if you can include your config file that would be good.
You can look at your mapping in your browser with something like this;
http://localhost:9200/logstash-2016.07.20/_mapping?pretty
(change the host and index name)
Related
I am new to elastic search and Kibana. In Kibana, while trying to fetch elastic search document in json, by default a bsearch query been executed with wildcard field search as below
fields: [{field: "*", include_unmapped: "true"}, {field: "timestamp",
format: "date_time"}]
This in turn returns all the document values as array under fields section. I need to turn off requesting fields in search query and its enough to have _source metadata in my json.
How to update the default query been searched in kibana? Thanks in advance
Installed elastic search version - 7.17.3
In Advanced Settings, you can turn on "Read fields from source" instead of using the Fields API, but it's soon going to be deprecated:
Importing some admittedly large json documents in Elastic search and getting the error Limit of total fields [1000] has been exceeded while adding new fields [447]
When I look at the table in kibana on the index patterns page I see fields that seem to be unnecessary.
My question is it looks like a keyword field and a text field are added for the same value.
In the json it looks similar to the following
{
v300_oeminfo:{
serial_number:'2342',
software_version: '234233'
}
}
Why would two fields be dedicated to serial_number and software_version.
It turns out that the behavior of dynamic mapping was to assign both keyword and text to the same field. Thats why it looked like the fields were doubling up on kibana.
I'm having some trouble in querying / filtering data on kibana with respect to a geo_point field that is indexed.
Here is a relevant section of the mapping template:
"dstGeoLocation": {
"type": "geo_point"
},
"srcGeoLocation": {
"type": "geo_point"
},
The ingestion happens okay, since the data ends up in ES and am able to view it in Kibana like so:
0,0 is the default that has been given.
However, in Kibana, I still get a message that this is an unindexed field and hence is not searchable.
How do I remedy this situation?
I have already tried to:
Remove and reload the index mappings
Remove and recreate the kibana index pattern (there is no manual refresh in v7.13)
Version of ES and Kibana: 7.13.12
Hi I just fixed the error you are showing by clicking the small refresh button up right in Stack Management > Kibana > Index Patterns > (select/create some pattern)
IMGUR Screenshot
So give it a try.
My index settings in Kibana tell me that I have fields with mapping conflicts in my logstash-* index patterns.
What is the easiest way to find out which fields have a conflicting mapping and/or in which indices the conflict occurs?
As of at least Kibana 5.2, you can type "conflict" into the Filter field, which will filter all fields down to only those which have a conflict. At the far right there is a column named "controls", and for each field it has a button with a pencil icon. Clicking that will tell you which indices have which mapping.
Fields filtered to only those with conflicts:
Indices in which field mapping conflicts:
You can easily find how fields are mapped using the mapping API in Kibana.
If you know you have a mapping conflict, I will assume you know the field name that has the conflict. These will be listed under Management/Index Patterns/index_pattern
If you have indices that are created daily, such as production-2020.06.16, you can search across all the indices with production*.
Go to Dev Tools and enter this query, changing the index pattern (production*) and conflictedFieldname to suit your needs.
GET production*/_mapping/field/conflictedFieldname
This will pull all indices that match the production* pattern and will list the mapping for conflictedFieldname for each index. Scroll through and see which one is not like the other one.
You can also check out the Elasticsearch documentation here: Elasticsearch documentation: Get Field Mapping API
The reason you're getting a conflict is because the first value that goes into the index is used by Elasticsearch to make its best guess as to what data type it should be. You can ensure it is always the same type by placing a template for the index pattern you are concerned with.
Elasticsearch documentation: Put Index Template
In Elasticsearch 5.5.2, you can click on the dropdown on the right of the Filter search box and select "conflict". This is in the Index Patterns page.
It should be easy to spot those in the list of fields, when defining the pattern. Something like this:
Since I couldn't locate the mapping conflict in the gui. I went down the hard path analysed my config for missing/conflicting field type found the offender and reindexed my data.
If you click the type column on the index patterns page where the warning is displayed, it should sort the indexes by type. Conflicted fields will have type 'conflict'.
I had indexed the document and I am able to search content of document.
But I want to find the type of document is indexed, author of document , name of document, size of document basically properties of file.
How it can be achieved with the help of elasticsearch.
Thank You.
Use elastic search head to take a look at the index tika generated in ElasticSearch for you
http://mobz.github.io/elasticsearch-head/
Then you can search on those fields by using queries like author:Lav (assuming you found a field named author in your index)