Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Using Analyzers and Tokenizers

The video tutorial explains the use of analyzers in controlling text field searches. It distinguishes between keyword and text type fields, highlighting how analyzers enable partial matches and relevance ranking. Practical examples demonstrate search queries and results, showing the impact of analyzers. The tutorial also covers reindexing with new mappings to achieve exact matches and tests these mappings with search queries.

What are the two types of text fields that can be defined for searching?

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Explain the difference between a keyword type and a text type in terms of search functionality.

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What happens when you define a keyword mapping on a text field?

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How do analyzers affect the search results for text fields?

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How can synonyms be applied in search queries using analyzers?

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Describe how partial matches work in analyzed fields.

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What is the expected behavior when searching for a genre with an exact match?

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What steps are involved in recreating an index with a new mapping?

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Why is it important to have backups before deleting an index?

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What is the significance of case sensitivity in keyword fields?

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