![]() However, since wildcards are an unsupported feature, the behaviour changes from time to time. That said, I have been using wildcards to match hostnames and subject lines, and I have been doing this for 5+ years. If you found this article interesting, then you can explore “ Mastering Kibana 6.0 ”, “ Kibana 7 Quick Start Guide ”, “ Learning Kibana 7 ”, and “ Elasticsearch 7 Quick Start Guide ” books to get more insight about Elastic Stack and how we can create dashboards for key performance indicators using Kibana. Wildcards are not officially supported in Gmail, even if they are supported in Google Search. Other Blogs on Elastic Stack: Introduction to Elasticsearch Elasticsearch Installation and Configuration on Ubuntu 14.04 Log analysis with Elastic stack Elasticsearch Rest API Basics of Data Search in Elasticsearch Elasticsearch Rest API Wildcard and Boolean Search in Elasticsearch Configure Logstash to push MySQL data into Elasticsearch Metrics Aggregation in Elasticsearch Bucket Aggregation in Elasticsearch How to create Elasticsearch Cluster In this blog, I have tried to explain the wildcard query and boolean query of Elasticsearch. If I replace the “should” keyword with “must_not” then it will exclude both the conditions and we will not get a single document. So basically here we will get both documents with topic Kibana and Elasticsearch. ![]() Boolean logic: Use OR and - to fine-tune your search. Boolean searching allows you to combine search terms in specific ways for effective matches. Wildcard: can substitute for a whole word in a multiword search. The three main search modifiers that exists in an intelligent recruitment process are as follows: 1. In the above query, I have replaced the “must” with “should” so now query will list all those documents where the “_type” matches with “technical” or “topic” match with “ kibana”. In Google or Google Scholar you do not need to add the operator AND, and a minus symbol is used instead of the operator NOT. Boolean Searching is a database search method based on the principles of Boolean logic, originally developed by the British mathematician George Boole in the mid-nineteenth century. Boolean Search Modifiers are used to help recruiters in streamlining the search process defining boundaries for the keywords and operators. See the below example: GET /blogs/technical/_search This means if someone does not know the exact spelling of a word then also he/she can search that word. ![]() Using wildcard queries, we can search for items without knowing the exact spelling. The main categories are Punctuation-based search operator, Boolean search. So let’s start to create the search queries: GSO are special characters added to search terms for getting more granular results. In this blog, I will explain advanced search queries which we can construct more complex queries like boolean queries, wildcard queries, etc. In my last blog Basics of Data Search in Elasticsearch, I have explained basic Elasticsearch queries. ![]()
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