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Index Settingsedit
There are many many knobs that you can twiddle to customize index behavior, which you can read about in the Index Modules reference documentation, but…
Elasticsearch comes with good defaults. Don’t twiddle these knobs until you understand what they do and why you should change them.
Two of the most important settings are as follows:
-
number_of_shards
-
The number of primary shards that an index should have,
which defaults to
5
. This setting cannot be changed after index creation. -
number_of_replicas
-
The number of replica shards (copies) that each primary shard
should have, which defaults to
1
. This setting can be changed at any time on a live index.
For instance, we could create a small index—just one primary shard—and no replica shards with the following request:
PUT /my_temp_index { "settings": { "number_of_shards" : 1, "number_of_replicas" : 0 } }
Later, we can change the number of replica shards dynamically using the
update-index-settings
API as follows:
PUT /my_temp_index/_settings { "number_of_replicas": 1 }
- Elasticsearch - The Definitive Guide:
- Foreword
- Preface
- Getting Started
- You Know, for Search…
- Installing and Running Elasticsearch
- Talking to Elasticsearch
- Document Oriented
- Finding Your Feet
- Indexing Employee Documents
- Retrieving a Document
- Search Lite
- Search with Query DSL
- More-Complicated Searches
- Full-Text Search
- Phrase Search
- Highlighting Our Searches
- Analytics
- Tutorial Conclusion
- Distributed Nature
- Next Steps
- Life Inside a Cluster
- Data In, Data Out
- What Is a Document?
- Document Metadata
- Indexing a Document
- Retrieving a Document
- Checking Whether a Document Exists
- Updating a Whole Document
- Creating a New Document
- Deleting a Document
- Dealing with Conflicts
- Optimistic Concurrency Control
- Partial Updates to Documents
- Retrieving Multiple Documents
- Cheaper in Bulk
- Distributed Document Store
- Searching—The Basic Tools
- Mapping and Analysis
- Full-Body Search
- Sorting and Relevance
- Distributed Search Execution
- Index Management
- Inside a Shard
- You Know, for Search…
- Search in Depth
- Structured Search
- Full-Text Search
- Multifield Search
- Proximity Matching
- Partial Matching
- Controlling Relevance
- Theory Behind Relevance Scoring
- Lucene’s Practical Scoring Function
- Query-Time Boosting
- Manipulating Relevance with Query Structure
- Not Quite Not
- Ignoring TF/IDF
- function_score Query
- Boosting by Popularity
- Boosting Filtered Subsets
- Random Scoring
- The Closer, The Better
- Understanding the price Clause
- Scoring with Scripts
- Pluggable Similarity Algorithms
- Changing Similarities
- Relevance Tuning Is the Last 10%
- Dealing with Human Language
- Aggregations
- Geolocation
- Modeling Your Data
- Administration, Monitoring, and Deployment