- ElasticSearch Cookbook
- Table of Contents
- ElasticSearch Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Getting Started
- 2. Downloading and Setting Up ElasticSearch
- 3. Managing Mapping
- Introduction
- Using explicit mapping creation
- Mapping base types
- Mapping arrays
- Mapping an object
- Mapping a document
- Using dynamic templates in document mapping
- Managing nested objects
- Managing a child document
- Mapping a multifield
- Mapping a GeoPoint field
- Mapping a GeoShape field
- Mapping an IP field
- Mapping an attachment field
- Adding generic data to mapping
- Mapping different analyzers
- 4. Standard Operations
- Introduction
- Creating an index
- Deleting an index
- Opening/closing an index
- Putting a mapping in an index
- Getting a mapping
- Deleting a mapping
- Refreshing an index
- Flushing an index
- Optimizing an index
- Checking if an index or type exists
- Managing index settings
- Using index aliases
- Indexing a document
- Getting a document
- Deleting a document
- Updating a document
- Speeding up atomic operations (bulk)
- Speeding up GET
- 5. Search, Queries, and Filters
- Introduction
- Executing a search
- Sorting a search
- Highlighting results
- Executing a scan query
- Suggesting a correct query
- Counting
- Deleting by query
- Matching all the documents
- Querying/filtering for term
- Querying/filtering for terms
- Using a prefix query/filter
- Using a Boolean query/filter
- Using a range query/filter
- Using span queries
- Using the match query
- Using the IDS query/filter
- Using the has_child query/filter
- Using the top_children query
- Using the has_parent query/filter
- Using a regexp query/filter
- Using exists and missing filters
- Using and/or/not filters
- Using the geo_bounding_box filter
- Using the geo_polygon filter
- Using the geo_distance filter
- 6. Facets
- 7. Scripting
- 8. Rivers
- 9. Cluster and Nodes Monitoring
- 10. Java Integration
- 11. Python Integration
- 12. Plugin Development
- Index
In this chapter, we will cover the following topics:
- Installing additional script plugins
- Sorting using script
- Computing return fields with scripting
- Filtering a search via scripting
- Updating with scripting
ElasticSearch has a powerful way to extend its capabilities with custom scripts that can be written in several programming languages. The most common ones are MVEL, JavaScript, and Python.
We already have a taste of the scripting capabilities of ElasticSearch, in the previous chapter, using scripting for facets. In this chapter we will see how it's possible to create custom scoring algorithms, special processed return fields, custom sorting or complex update operations on records.
The scripting concept of ElasticSearch can be seen as an advanced stored procedures system in the NoSQL world; so, for an advanced use of ElasticSearch, it is very important to master it.
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