Tokenizing the documents already indexed in an elastic search index - elasticsearch

I have some documents stored inside my index in elasticsearch. I want to analyze the documents stored inside that index through a custom-made elasticsearch plugin.
I tried doing this task using the term_vectors API but, got no luck.
Is there any way to analyze the indexed documents without updating the index mapping?

Related

Elasticsearch data comparison

I have two different Elasticsearch clusters,
One cluster is Elastcisearch 6.x with the data, Second new Elasticsearch cluster 7.7.1 with pre-created indexes.
I reindexed data from Elastcisearch 6.x to Elastcisearch 7.7.1
Is there any way to get the doc from source and compare it with the target doc, in order to check that data is there and it is not affected somehow.
When you perform a reindex the data will be indexed based on destination index mapping, so if your mapping is same you should get the same result in search, the _source value will be unique on both indices but it doesn't mean your search result will be the same. If you really want to be sure everything is OK you should check the inverted index generated by both indices and compare them for fulltext search, this data can be really big and there is not an easy way to retrieve it, you can check this for getting term-document matrix .

Source filtering while searching inside multiple indices using Nest ElasticSearch

I followed the instructions to search multiple indices using NEST ElasticSearch mentioned here.
How to search inside multiple indices using Nest ElasticSearch?
Now I want to select only certain fields per index from the matching results (hits). Is that something that can be built into the query within C# itself ?
Source filtering applies to the _source of all hits from all indices; it's not possible to target the _source of hits from specific indices within the body of a single search request.

Index minio Documents Using Elastic-Search

Can someone tell me what approach I should follow to index documents stored in Minio bucket using elastic-search so that it enables me to search the documents using specific keywords.
there is a plugin in elastic search ingest-attachment is used to index any document follow the link
https://www.elastic.co/guide/en/elasticsearch/plugins/master/ingest-attachment.html

Issue with visualizing a field in Kibana even when elasticsearch has its mapping

I have elasticsearch mapping which lists a field but when trying to visualize in kibana it doesnt list that field. Moreover i can see that field under 'popular' section of Discover page.
i see some note like:
"This field is present in your elasticsearch mapping but not in any documents in the search results. You may still be able to visualize or search on it."
What does this mean and how can i visualize a mapped field.
It's mean that you have a mapping but you don't have documents, you don't have data,so you need to index data to elasticsearch index

Where do i apply analyzers and token filters in elasticsearch while indexing documents?

I am trying to implement an analyzer (uppercase) and index some documents after that in elasticsearch. My question is, am i following the correct procedure?
Implement your analyzer (containing index and type name), which would create the index if it doesnt exist
Then index the documents with the same index and type name as above during which stream of text would pass through the analyzer and then would be saved in index.
Is this the correct way to go about it?
I indexed some documents with and without using analyzers, checked the contents of index before/after using Facets, and they were no different.
The content is not supposed to be different. How it's indexed is. You should recognize the difference because queries would have different results, like some documents are found which weren't without the analyzers, and viceversa.
Try for instance a March Query.
The _score may and should also change

Resources