Saved searches and filters in Elasticsearch - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a saved search in Elasticsearch?

A saved search is a stored query that you can reuse later to quickly find data without rewriting the query each time.

beginner

How do filters differ from queries in Elasticsearch?

Filters are used to include or exclude documents without scoring, making them faster and cacheable, while queries calculate relevance scores.

intermediate

Why use saved filters in Elasticsearch?

Saved filters let you reuse common filtering logic easily, improving performance and consistency across searches.

beginner

How can you save a search in Kibana for Elasticsearch?

In Kibana, after creating a search with filters and queries, you can save it by clicking the 'Save' button and giving it a name for reuse.

intermediate

What is the benefit of combining saved filters with saved searches?

Combining saved filters with saved searches helps quickly apply common conditions and queries, saving time and reducing errors.

What does a saved search store in Elasticsearch?

A A backup of the entire index

B A reusable query to find data

C A list of all documents

D A visualization chart

A saved search stores a reusable query to quickly find data without rewriting it.

Which of the following is true about filters in Elasticsearch?

A Filters are cacheable and do not score results

B Filters are slower than queries

C Filters calculate relevance scores

D Filters cannot be saved

Filters are cacheable and do not calculate relevance scores, making them faster.

How do saved filters improve search performance?

A By recalculating scores each time

B By storing all documents locally

C By reusing common filtering logic and caching results

D By deleting irrelevant data

Saved filters improve performance by reusing common filters and caching their results.

In Kibana, how do you save a search?

A By deleting filters

B By exporting the index

C By restarting Elasticsearch

D By clicking the 'Save' button after creating the search

You save a search in Kibana by clicking the 'Save' button after setting up your query and filters.

What is a key advantage of combining saved searches and filters?

A It saves time and reduces errors by reusing logic

B It requires rewriting queries each time

C It deletes old data automatically

D It slows down queries

Combining saved searches and filters saves time and reduces errors by reusing common logic.

Explain what saved searches and saved filters are in Elasticsearch and why they are useful.

Think about how saving queries and filters helps avoid repeating work.

Describe the difference between queries and filters in Elasticsearch and how saved filters affect search speed.

Focus on scoring and caching differences.