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Formatting Synonymsedit
In their simplest form, synonyms are listed as comma-separated values:
"jump,leap,hop"
If any of these terms is encountered, it is replaced by all of the listed synonyms. For instance:
Original terms: Replaced by: ──────────────────────────────── jump → (jump,leap,hop) leap → (jump,leap,hop) hop → (jump,leap,hop)
Alternatively, with the =>
syntax, it is possible to specify a list of terms
to match (on the left side), and a list of one or more replacements (on
the right side):
"u s a,united states,united states of america => usa" "g b,gb,great britain => britain,england,scotland,wales"
Original terms: Replaced by: ──────────────────────────────── u s a → (usa) united states → (usa) great britain → (britain,england,scotland,wales)
If multiple rules for the same synonyms are specified, they are merged together. The order of rules is not respected. Instead, the longest matching rule wins. Take the following rules as an example:
"united states => usa", "united states of america => usa"
If these rules conflicted, Elasticsearch would turn United States of
America
into the terms (usa),(of),(america)
. Instead, the longest
sequence wins, and we end up with just the term (usa)
.
- 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