Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Sorting

The video tutorial explains how to sort data in Elasticsearch by numeric and text fields. It highlights the challenges of sorting analyzed text fields and provides a solution using raw subfields. The tutorial includes a practical demonstration of setting up mappings and reindexing data to enable sorting by unanalyzed text fields.

What is the basic syntax for sorting by a numeric field in Elasticsearch?

• sort=field_name

• order=field_name

• arrange=field_name

• sequence=field_name

Why can't analyzed text fields be used for sorting in Elasticsearch?

• They are too large to process

• They are split into individual terms

• They are stored in a different format

• They are not indexed

What is a raw subfield used for in Elasticsearch?

• To enhance search speed

• To compress data

• To store metadata

• To enable sorting by unanalyzed text

What must be done before importing data if you want to sort text fields?

• Increase server capacity

• Optimize the index

• Set up a raw subfield

• Create a backup

What is the first step in reindexing data with a new mapping in Elasticsearch?

• Delete the existing index

• Create a new server

• Export the data

• Optimize the current index

How do you sort by a raw subfield in Elasticsearch?

• sort=field.raw

• order=field.raw

• arrange=field.raw

• sequence=field.raw

What is the purpose of reindexing data in Elasticsearch?

• To delete old data

• To compress the index

• To apply new mappings

• To update server software