Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Partial Matching

The video tutorial covers prefix, wildcard, and regex queries in Elastic search. It explains how prefix queries match strings starting with a specific prefix, while wildcard queries use a star character for flexible matching. Regular expressions offer another method for partial matching. The tutorial includes a practical demonstration of these queries, emphasizing the need to remap data fields to text type for effective partial matching.

What is the main purpose of a prefix query in a search?

• To find strings that contain a specific substring

• To match strings that start with a given prefix

• To search for strings that end with a specific suffix

• To locate strings that have a certain length

How does a wildcard query differ from a prefix query?

• It only matches strings that end with a specific suffix

• It requires the use of regular expressions

• It allows the star character to represent any sequence of characters

• It is faster than a prefix query

What character is used in a wildcard query to represent any sequence of characters?

• Asterisk (*)

• Dollar sign ($)

• Hash (#)

• Question mark (?)

Which of the following is true about regex queries?

• They only work with numeric fields

• They are not supported in Elasticsearch

• They can specify a full regular expression for a field

• They are simpler than wildcard queries

What is the first step in preparing a database for partial matching?

• Using regular expressions for all fields

• Creating a new index with numeric fields

• Remapping the year field to a text type

• Deleting the entire database

In the practical demonstration, what was the result of a prefix match of '201' on the year field?

• It did not return any results

• It matched all movies regardless of the year

• It returned movies starting with the year 2010 onwards

• It returned movies from the 1990s

What was the outcome of the wildcard query '1*' in the demonstration?

• It returned movies from the 2000s

• It matched all movies starting with the digit 1

• It only returned movies from the 1980s

• It did not match any movies