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12.4. Indexing

When indexing is set up, the Query module transparently indexes every added, updated, or removed cache entry. Indices improve performance of queries, though induce additional overhead during updates. For index-less querying see Chapter 16, The Infinispan Query DSL.
For data that already exists in the grid, create an initial Lucene index. After relevant properties and annotations are added, trigger an initial batch index as shown in Section 12.4.3, “Rebuilding the Index”.
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12.4.1. Indexing with Transactional and Non-transactional Caches
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In Red Hat JBoss Data Grid, the relationship between transactions and indexing is as follows:
  • If the cache is transactional, index updates are applied using a listener after the commit process (after-commit listener). Index update failure does not cause the write to fail.
  • If the cache is not transactional, index updates are applied using a listener that works after the event completes (post-event listener). Index update failure does not cause the write to fail.
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12.4.2. Configure Indexing Programmatically
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Indexing can be configured programmatically, avoiding XML configuration files.
In this example, Red Hat JBoss Data Grid is started programmatically and also maps an object Author, which is stored in the grid and made searchable via two properties, without annotating the class.

Example 12.1. Configure Indexing Programmatically

import java.util.Properties;
import org.hibernate.search.cfg.SearchMapping;
import org.infinispan.Cache;
import org.infinispan.configuration.cache.Configuration;
import org.infinispan.configuration.cache.ConfigurationBuilder;
import org.infinispan.manager.DefaultCacheManager;
import org.infinispan.query.CacheQuery;
import org.infinispan.query.Search;
import org.infinispan.query.SearchManager;
import org.infinispan.query.dsl.Query;
import org.infinispan.query.dsl.QueryBuilder;
[...]
		
SearchMapping mapping = new SearchMapping();
mapping.entity(Author.class).indexed().providedId()
    .property("name", ElementType.METHOD).field()
    .property("surname", ElementType.METHOD).field();
 
Properties properties = new Properties();
properties.put(org.hibernate.search.Environment.MODEL_MAPPING, mapping);
properties.put("[other.options]", "[...]");
 
Configuration infinispanConfiguration = new ConfigurationBuilder()
    .indexing()
    .enable()
    .withProperties(properties)
    .build();
 
DefaultCacheManager cacheManager = new DefaultCacheManager(infinispanConfiguration);
 
Cache<Long, Author> cache = cacheManager.getCache();
SearchManager sm = Search.getSearchManager(cache);
 
Author author = new Author(1, "FirstName", "Surname");
cache.put(author.getId(), author);
 
QueryBuilder qb = sm.buildQueryBuilderForClass(Author.class).get();
Query q = qb.keyword().onField("name").matching("FirstName").createQuery();
CacheQuery cq = sm.getQuery(q, Author.class);
Assert.assertEquals(cq.getResultSize(), 1);
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12.4.3. Rebuilding the Index
링크 복사

The Lucene index can be rebuilt, if required, by reconstructing it from the data store in the cache.
The index must be rebuilt if:
  • The definition of what is indexed in the types has changed.
  • A parameter affecting how the index is defined, such as the Analyser changes.
  • The index is destroyed or corrupted, possibly due to a system administration error.
To rebuild the index, obtain a reference to the MassIndexer and start it as follows: 
SearchManager searchManager = Search.getSearchManager(cache);
searchManager.getMassIndexer().start();
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This operation reprocesses all data in the grid, and therefore may take some time.
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