While trying to change a Visualization in Kibana to use another property for the x-axis, that property doesn't appear there.
I changed recently nlog to target elastic search using the Elastic common schema.
After that change the property is not longer called ResolvedRoute but instead _metadata.resolved_route, the problem is that it doesn't appear on the field for x-axis, it says no matches found.
It is not on the available fields
I'm still new to elastic search and kibana, so it's possible i'm missing something simple.
Don't know if it's related, but when on Discovermenu, looking at the Available fields all of _metadata fields have a question mark
I'm already trying to map some of these fields in Index Management / Edit template
Also, if i go to the console and type
GET /logstash-2020.11.25/_search
{
"query": {
"match_all": {}
}
}
I can see the fields of _metadata that i want, inside _source which is inside of hits.
I think i already had a similar problem where i had to delete all indexes that match the pattern and then the field appeared, but that doesn't make much sense.
What could be the problem?
Chances are high that you haven't refreshed the corresponding index pattern in Kibana. Therefore the data might exist as documents in Elasticsearch but not yet as a field in the index pattern, which is a Kibana Saved Object.
Please go to Settings / Stack Management (depending on your Kibana version), click on the index pattern you expect the field to be in and refresh the fields list (icon is in the upper right corner).
Please let me know if that solved your problem.
The fields in question were not correctly mapped in the template.
since metadata is an object it needs to be mapped like that first,
then inside of it we can map it's own properties.
Related
I'm in really weird situations, I need to create indexes in elasticsearch that contain typeless fields. I have a rails application that sends any data per second to my elasticsearch. about my architecture, I have to say I use elastic-stack on docker in ubuntu server and use socket to send data's to elk and all of them are the latest version.
In my rails application user could choose datatype for each field but the issues happen when the user want to change the datatype of one field right after it's created, logstash return this error
error"=>{"type"=>"mapper_parsing_exception", "reason"=>"failed to parse field [field] of type [long] in document with id '5e760cac-cafc-4fd0-9e45-1c650967ccd4'. Preview of field's value: '2022-01-18T08:06:30'", "caused_by"=>{"type"=>"illegal_argument_exception", "reason"=>"For input string: \"2022-01-18T08:06:30\
I found deadly queue letter plugins to save wrong input in my server after that I think if I could index documents without any type the problem is solved so I start to googling and found Removal of mapping types in elasticsearch documents and I follow instructions which describe in tutorials I get the following error:
unknown setting [index.include_type_name] please check that any required plugins are installed, or check the breaking changes documentation for removed settings
even I put "include_type_name" in the request to send to the elastic noting change I have the latest version of elastic.
I think maybe it's helpful to edit the default elasticsearch template but noting the change. could you please help me with what should I do?
As already mentioned in the comments, Elasticsearch does not support changing the data type of a field without a reindex or creating a new index.
For example, if a field is mapped as a numeric field like integer and the user wants to index a string value in this field, elasticsearch will return an mapping error.
You would need to change the mapping of the index and reindex it or create a entirely new index using the new mapping.
None of this is done automatically by elastic, you would need to deal with this in your application, you could catch the error and implement some logic to create a new index with the new mapping, but this also could lead to other problems as having too many indices in the cluster and query errors when the range of the query include index with the same field with different mappings.
One feature that Elasticsearch has that could help you in some way is the runtime fields, with runtime fields you can query a field that has a specific mapping using a different mapping.
For example, if you have a field that has date values, but was wrongly mapped as a keyword or text field, you could use a runtime field to query it as it was a date field.
But again, this will need that you implement a logic to build those runtime fields and also can lead to other problems, not all the data types are available to runtime fields and runtime fields can impact in the performance.
Another feature that could help you is to use of multi-fields, this, I think, is the closest you got of having a field with multiple data types.
Using multi-fields you could have a field named date with the date type and also a field named date.keyword with the keyword type, you also could have a field name code with the keyword type and a field name code.int with the integer type, you would also need to use the ignore_malformed setting in the mapping so elastic does not reject the entire document in case of mapping errors, just the field with the wrong mapping.
Just keep in mind that when use multi-fields, you will have a different field for each mapping, for example date is a field, date.keyword is another field, this will increase the storage usage.
But again, none of this is done automatically, it needs logic in your application, elasticsearch does not allows you to change the mapping of a field, if your application needs this, you will need to implement something in the application that can work with that limitations of elasticsearch.
I am using Elasticsearch and Kibana as plugin to view the data in the indices. I am using Kibana's DevTools to send commands for adding/deleting/updating indices etc.
I want to add a field to a certain text property so it will have a keyword field to be able to both make a full text searches and aggregate using this property.
1) Does a change like that means I need to update Kibana's index pattern as well?
2) I have read the ElasticSearch's docs on PUT Mappings and know how to use it to update the indices themselves, but I don't know how to update the index patterns.. I read the same API should be used to update it, but I don't know how to see the index pattern's original mapping in order to update it.
Yes, if you change the index mapping in ES, then you need to go in Kibana and refresh the related index patterns.
Right now, you need to go inside Kibana (Management > Index patterns), select the index pattern, and press the "Refresh" button at the top right of the window in order to pick up the mapping changes.
Also note that if you updated some text fields in order to have a keyword sub-field, you'll also need to call the _update_by_query API on your index in order to reindex the changed field in all your documents
A somewhat similar question has been asked here but there's no answer for that yet. That question relates to an older version of Kibana so I hope you can help me.
I'm trying to setup some predefined queries in the Kibana dashboard. I'm using Kibana 5.1. The purpose of those queries is filtering some logs based on multiple different parameters.
Let's see a query I'd like to execute:
{
"index": "${index_name}",
"query": {
"query_string": {
"query": "message:(+\"${LOG_LEVEL}\")",
"analyze_wildcard": true
}
}
}
I know I can query directly in the dashboard something like "message:(+"ERROR")" and manually change the ERROR to WARN for example, but I don't want that - imagine that this query might be more complex and contain multiple fields.
Note that the data stored in the message is not structured - think of the message as a whole log line. This means I don't have fields like LOG_LEVEL which I could filter directly.
Is there any way I can set the index_name and LOG_LEVEL dynamically from the Kibana Discover dashboard?
You should go to discover, open one document and click over this button in any of the fields. After this, a filter will appear under the search bar and you can edit it and put any custom query. If you want add more filters with more custom queries you can repeat the same action with a different document or field or you can do to Settings (or Management), Saved Objects, go to the Search you saved and to the JSON representation and copy and paste the elements inside the filter array field as many times you want.
And remember that in order to apply one of the filters, you probably should disable the enabled ones (otherwise it will filter by all the enabled filters in your dashboard).
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 have just updated a website, the update adds new fields to elasticsearch.
In my dev environment, it all works fine. but on the live site, the new fields are not being found.
Eg. I have added a new field with the value : 1
However, when adding a filtered query of
{"field":1}
It does not find any matching results.
When I look in the documents, I can see docs with the field set to 1
Would the reason for this be that the new field was added after the mappings was set? I am not all that familiar with elasticsearch, So I am not really sure where to start looking to fix it.
Any help would be appreciated.
Update:
querying from URL shows nothing either
_search/?pretty=true&size=50&q=field1:*
however there is another field that was added at the same time which I can search on.
I can see field1 in the result set but it just wont allow me to search on it.
Only difference i see in the mapping is that the one that is working is set to type:long whereas the one not working is set as type:string
Is it a length issue on the ngram? what was your "min_gram" settings?
When you check on your index settings like this:
GET <host>/<index_name>/_settings
Does it work when you filter for a two digit field?
Are all the field values one digit?
It's OK to add a field after the mapping was set. ElasticSearch will guess the mapping for you. (in fact, it's one of their selling features --- no need to define the mapping, just throw the data at it)
There are a few things that can go wrong:
Verify that data is actually in the index. To do that, just navigate to the _search url with no parameters, you should see the field if it is indexed.
Look at your mapping. Could it be that the field is explicitly set not to be indexed?
Another possibility is that your query is wrong (but that is unlikely, since you're saying it works in the development environment)