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Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform. Apache Lucene is an open source project available for free download. | ||
| -- Apache Lucene Homepage | ||
JanusGraph supports Lucene as a single-machine, embedded index backend. Lucene has a slightly extended feature set and performs better in small-scale applications compared to Elasticsearch, but is limited to single-machine deployments.
For single machine deployments, Lucene runs embedded with JanusGraph. JanusGraph starts and interfaces with Lucene internally.
To run Lucene embedded, add the following configuration options to the graph configuration file where `/tmp/searchindex/`specifies the directory where Lucene should store the index data:
index.search.backend=lucene index.search.directory=/tmp/searchindex
In the above configuration, the index backend is named search. Replace search by a different name to change the name of the index.
- Full-Text: Supports all
Textpredicates to search for text properties that matches a given word, prefix or regular expression. - Geo: Supports the
Geo.WITHINcondition to search for points that fall within a given geographic shape. Only supports points for indexing and circles and boxes for querying. - Numeric Range: Supports all numeric comparisons in
Compare. - Temporal: Nanosecond granularity temporal indexing.
Refer to Chapter 12, Configuration Reference for a complete listing of all Lucene specific configuration options in addition to the general JanusGraph configuration options.
Note, that each of the index backend options needs to be prefixed with index.[INDEX-NAME]. where [INDEX-NAME] stands for the name of the index backend. For instance, if the index backend is named search then these configuration options need to be prefixed with index.search..
To configure an index backend named search to use Lucene as the index system, set the following configuration option:
index.search.backend = lucene- Please refer to the Lucene homepage and available documentation for more information on Lucene.