- 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
You can communicate with your ElasticSearch server with several protocols. In this recipe we will look at some main protocols.
ElasticSearch is designed to be used as a RESTful server, so the main protocol is HTTP usually on port 9200 and above. Thus, it allows using different protocols such as native and thrift ones. Many others are available as extension plugins, but they are seldom used, such as memcached one.
Every protocol has weak and strong points, it's important to choose the correct one depending on the kind of applications you are developing. If you are in doubt, choose the HTTP protocol layer that is the most standard and easy to use one.
Choosing the right protocol depends on several factors, mainly architectural and performance related. This schema factorizes advantages and disadvantages related to them. If you are using it to communicate with Elasticsearch, the official clients switching from a protocol to another one is generally a simple setting in the client initialization. Refer to the following table which shows protocols and their advantages, disadvantages, and types:
-
No Comment