- 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:
- 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 attachment field
- Adding generic data to mapping
- Mapping different analyzers
Mapping is the most important concept in ElasticSearch, as it defines how a search engine should process a document.
Search engines are mainly composed of two parts:
- Indexing: This action takes a document and stores/indexes/processes it in an index
- Searching: This action retrieves the data from the index
These two parts are strictly connected; an error in the indexing step leads to unwanted or missing search results.
ElasticSearch has explicit mapping on an index/type level. When indexing, if mapping is not provided, a default mapping is created, guessing the structure from the data fields that compose the document. Then, this new mapping is automatically propagated to all cluster nodes.
The default type mapping has sensible default values, but when you want to change their behavior you need to provide a new mapping definition.
In this chapter, we'll see all the possible types that compose the mappings.
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