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:
Related
In version 6.7.1 elastic search, I am using the query string to get some documents. After executing the query string, in addition to the actual documents, it gives those documents also which does not have the key against which data is filtered.
This was not the case when I was using 6.4.2 elastic version. The official site does not have any information regarding that.
My query looks like -
"* AND ( properties.foreignKeys.referenceTableId :(file_datatypes) OR properties.primaryKeyMetadata.referenceTables :(file_datatypes) )".
It shows the documents that has properties.foreignKeys: null and properties.primaryKeyMetadata: null, in json
Any update will be helpful.
I am using ElasticSearch Kibana dashboard with the following fields
host
_id
_score
index
message
of which message is a json string having values like
{"version": "3.4.2", "model": "EX2308", "orders": "50"}
I am searching for lucene query to search this JSON message having
orders > 30 and version > 3.4
Any help is appreciated
[Updated]
I am using logback-elasticsearch-appender to push messages into ElasticSearch using SLF4j
log.info(new org.json.JSONOject(arg).toString());
You can simply input the following Lucene query into the search field:
message.orders:>30 AND message.version:>3.4
I want to delete documents not having a specific field in elastic search. I tried combination of must_not and exists but its giving documents in which the field is there but its null.But i want the docs in which the field is not present at all.
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)
I created an index myindex in elasticsearch, loaded a few documents into it. When I visit:
localhost:9200/myindex/mytype/1023
I noticed that my particular index has the following metadata for mappings:
mappings: {
mappinggroupname: {
properties: {
Aproperty: {
type: string
}
Bproperty: {
type: string
}
}
}
}
Is there some way to add "store:yes" and index: "analyzed" without having to reload/reindex all the documents?
Note that when i want to view a single document...
i.e. localhost:9200/myindex/mytype/1023
I can see the _source field contains all the fields of that document are and when I go to the "Browser" section of the head plugin it appears that all the columns are correct and corresponding to my fieldnames. So why is it that "stored" is not showing up in metadata? I can even perform a _search on them.
What is the difference between "stored":"true" versus the fact that I can see all my fields and values after indexing all my documents via the means I mention above?
Nope, no way! That's how your documents got indexed in the underlying lucene. The only way to change it is to reindex them all!
You see all those fields because you see the content of the special _source field in lucene, that's stored by default through elasticsearch. You are not storing all the fields separately but you do have the source document that you originally indexed through the _source, a single field that contains the whole document.
Generally the _source field is just enough, you don't usually need to configure every field as stored.
Also, the default is "index":"analyzed" if not specified for all the string fields. That means those fields are indexed and analyzed using the standard analyzer if not specified in the mapping. Therefore, as far as I can see from your mapping those two fields should be indexed, thus searchable.