Is there an elasticsearch equivalent to the Solr Terms Component? - elasticsearch

I want to take a look at the actual terms in an Elasticsearch index. In Solr, I can just open the admin and get a list of the most common terms. Is there an Elasticsearch equivalent of this?

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How to add aggregions for KNN search in elasticsearch?

I want to use aggregations over the search result of the knn_search api in elasticsearch (because I need facet search on the user interface), but I cannot pass the agg parameter as in the search api. Any suggestions?
Tldr;
As per the documentation of this endpoint GET /<index>/_knn_search.
You just can not give the parameter agg.
In 8.4
Although in the latest version of elasticsearch, you can use the knn search in the standard search queries.

Get data of similar record in elastic search in million records

Can We use MLT concept of ES to filter documents with similar fields.Is it possible to give weight to the individual field. What is elastic search recommendations.
Yes you can: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html According to your fields, this could be easy or difficult.

What is elastic and its related products?

Just going to implement elastic search log related task.
Have some questions about elastic:
What is elastic? does it mean flexible stuff?
What is elastic search? (https://www.elastic.co/products/elasticsearch)
what is elastic cache?
what is the relationship between elastic search and elastic cache?
Thanks
I'm not sure what relates ES with EC, but simply Elastic Search is where you index all the data you need, let it be log files or the data from a database. You could store them as docs within an index and then query in order retrieve data from the index.
This is what I got from my neighborhood friend Google:
Elasticsearch is a search engine based on Lucene. It provides a
distributed, multitenant-capable full-text search engine with an HTTP
web interface and schema-free JSON documents.

Splunk to Elasticsearch datamodel translation

I'm trying to convert Splunk searches to Elasticsearch searches. The one problem I'm having is what to do with Splunk's datamodels. How would I transfer performing the search in a specific datamodel in Splunk to an Elasticsearch search?
For example, in a Splunk search:
tstats summariesonly=T count from datamodel="Web"........
What would be the Elasticsearch equivalent to performing the search in the "Web" datamodel?
Any help, no matter how small will help indeed. Thank you
Open the query in search and use the search inspector. The inspector will show you know which query splunk has actually executed.
While tstats searches index-time fields, you will have to reproduce all datamodel fields and aggregations (i.e. datamodel acceleration) and this is not an easy task, if at all possible.

How to use lucene analyzers with Elasticsearch java API

I want to build elastisearch queries using JAVA API. I want to know how to can use Lucene analyzers in elasticsearch java programs. I have checked QueryBuilders and tried to use analyzers directly as below.
QueryBuilder builder = QueryBuilders.matchQuery(searchString, fields).analyzer("porterstem");
But, it turned out to be wrong. If any one tried it, could you please give me some information?
You should define your analyzer in mapping.
So the analyzer will be used at index time and at query time.
ANALYZERS are used to analyze the documents that your are indexed. Analysis means it Ll split,the text in to tokens, normalize it, and also Lower case your indexed doc text. This analysis process Ll b more helpful while you search and searching will be faster..
You can mention analyzer while you query . But analyze the stored documents during query time. Ll b expensive. So analyze the document during indexing time. ES will analysis the doc during indexed and query time will b less and faster result.
So mention analyzers in mapping and searching efficiently..
For more information about analyzer refer
https://lucene.apache.org/core/4_0_0/core/org/apache/lucene/analysis/Analyzer.html

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