I have an index with default mapping. In my case, I need to search data with special characters like čćš, and nested data up to 3 levels.
Questions:
Is it possible to override default settings, analyzer and filters for special characters and auto-complete and map all types to enable filter, nested data, and disable unused data?
If I create new index and clone all docs from first index to second index is it possible to automatically change second index when is first index changed from backend side?
Can I do mapping on client side js or I need to do mapping from kibana console?
Related
I am using elastic search 7.10.1. I would store and search against my blogs. The blog has id,title and content fields.
I would like to search against id, title and content, but since the content of blog is too big, so that I would like to save the original content text outside of Elastic Search, such as HBase.
I would ask how to achieve this in ES?
If you are using a static mapping then simply don't define your content field in your index mapping, and don't populate it while indexing your document to ES.
Refer to Mapping param for more info, and specifically, store param default false which means you can't retrieve field value if _source(true by default) is also disabled.
index param default true, which controls whether the field is searchable or not, in your case if you don't want to search and retrieve it you have to disable these two params.
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
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 created an index and have indexed document in the same. Now it seems that I have forgotten to add a mapping to that index. Is it possible to add the required mapping to that index,at this point of time when the documents are indexed in it?. If not,what is my next best choice to implement the mapping?
You can use the PUT mapping to modify the mapping , but then its not possible to change all aspects of the mapping.
For eg: , you cant change the analyzer type , the data type of the fields but then you can add more non existing fields and assign them analyzer.
Also if you are looking at multi fields , you can add more fields to existing multi fields , but not edit the existing.
Having said that , if your change comes under the category of non changeable mapping , the better idea would be to reindex the documents.
It depends but probably. If your new mapping doesn't conflict then you can use the Put Mapping API. In general it's safe but you can't change or remove existing fields.
You will have to re-index your documents though. You can either simply re-submit all of your documents through the API or try a plugin speicifically designed for this case..
I'm trying to use the Wikipedia River
Is there a way / How can I customize the mapping so that ElasticSearch only index the title fields (I'd still like to access the whole text)?
The mapping is useful more to decide how you index data rather than what you index, unless you set it to dynamic: false which means that elasticsearch effectively accepts only the fields that are explicitly declared in the mapping.
The problem is that the wikipedia river always sends a set of fields for every document and this behaviour is not currently configurable, thus there's no way to index only a subset of those fields (e.g. only title and _source). What you could do is modify your search request so that you get back only the fields that you are interested in, but the content of the index will stay the same.