このコンテンツは選択した言語では利用できません。

Chapter 4. Querying embedded caches


Use embedded queries when you add Data Grid as a library to custom applications.

Protobuf mapping is not required with embedded queries. Indexing and querying are both done on top of Java objects.

4.1. Querying embedded caches

This section explains how to query an embedded cache using an example cache named "books" that stores indexed Book instances.

In this example, each Book instance defines which properties are indexed and specifies some advanced indexing options with Hibernate Search annotations as follows:

Book.java

package org.infinispan.sample;

import java.time.LocalDate;
import java.util.HashSet;
import java.util.Set;

import org.infinispan.api.annotations.indexing.*;

// Annotate values with @Indexed to add them to indexes
// Annotate each field according to how you want to index it
@Indexed
public class Book {
   @Keyword
   String title;

   @Text
   String description;

   @Keyword
   String isbn;

   @Basic
   LocalDate publicationDate;

   @Embedded
   Set<Author> authors = new HashSet<Author>();
}

Author.java

package org.infinispan.sample;

import org.infinispan.api.annotations.indexing.Text;

public class Author {
   @Text
   String name;

   @Text
   String surname;
}

Procedure

  1. Configure Data Grid to index the "books" cache and specify org.infinispan.sample.Book as the entity to index.

    <distributed-cache name="books">
      <indexing path="${user.home}/index">
        <indexed-entities>
          <indexed-entity>org.infinispan.sample.Book</indexed-entity>
        </indexed-entities>
      </indexing>
    </distributed-cache>
  2. Obtain the cache.

    import org.infinispan.Cache;
    import org.infinispan.manager.DefaultCacheManager;
    import org.infinispan.manager.EmbeddedCacheManager;
    
    EmbeddedCacheManager manager = new DefaultCacheManager("infinispan.xml");
    Cache<String, Book> cache = manager.getCache("books");
  3. Perform queries for fields in the Book instances that are stored in the Data Grid cache, as in the following example:

    // Create an Ickle query that performs a full-text search using the ':' operator on the 'title' and 'authors.name' fields
    // You can perform full-text search only on indexed caches
    Query<Book> fullTextQuery = cache.query("FROM org.infinispan.sample.Book b WHERE b.title:'infinispan' AND b.authors.name:'sanne'");
    
    // Use the '=' operator to query fields in caches that are indexed or not
    // Non full-text operators apply only to fields that are not analyzed
    Query<Book> exactMatchQuery= cache.query("FROM org.infinispan.sample.Book b WHERE b.isbn = '12345678' AND b.authors.name : 'sanne'");
    
    // You can use full-text and non-full text operators in the same query
    Query<Book> query= cache.query("FROM org.infinispan.sample.Book b where b.authors.name : 'Stephen' and b.description : (+'dark' -'tower')");
    
    // Get the results
    List<Book> found=query.execute().list();

4.2. Entity mapping annotations

Add annotations to your Java classes to map your entities to indexes.

Hibernate Search API

Data Grid uses the Hibernate Search API to define fine grained configuration for indexing at entity level. This configuration includes which fields are annotated, which analyzers should be used, how to map nested objects, and so on.

The following sections provide information that applies to entity mapping annotations for use with Data Grid.

For complete detail about these annotations, you should refer to the Hibernate Search manual.

@DocumentId

Unlike Hibernate Search, using @DocumentId to mark a field as identifier does not apply to Data Grid values; in Data Grid the identifier for all @Indexed objects is the key used to store the value. You can still customize how the key is indexed using a combination of @Transformable , custom types and custom FieldBridge implementations.

@Transformable keys

The key for each value needs to be indexed as well, and the key instance must be transformed in a String. Data Grid includes some default transformation routines to encode common primitives, but to use a custom key you must provide an implementation of org.infinispan.query.Transformer .

Registering a key Transformer via annotations

You can annotate your key class with org.infinispan.query.Transformable and your custom transformer implementation will be picked up automatically:

@Transformable(transformer = CustomTransformer.class)
public class CustomKey {
   ...
}

public class CustomTransformer implements Transformer {
   @Override
   public Object fromString(String s) {
      ...
      return new CustomKey(...);
   }

   @Override
   public String toString(Object customType) {
      CustomKey ck = (CustomKey) customType;
      return ...
   }
}

Registering a key Transformer via the cache indexing configuration

Use the key-transformers xml element in both embedded and server config:

<replicated-cache name="test">
  <indexing>
    <key-transformers>
      <key-transformer key="com.mycompany.CustomKey"
                       transformer="com.mycompany.CustomTransformer"/>
    </key-transformers>
  </indexing>
</replicated-cache>

Alternatively, use the Java configuration API (embedded mode):

   ConfigurationBuilder builder = ...
   builder.indexing().enable()
         .addKeyTransformer(CustomKey.class, CustomTransformer.class);
Red Hat logoGithubredditYoutubeTwitter

詳細情報

試用、購入および販売

コミュニティー

会社概要

Red Hat は、企業がコアとなるデータセンターからネットワークエッジに至るまで、各種プラットフォームや環境全体で作業を簡素化できるように、強化されたソリューションを提供しています。

多様性を受け入れるオープンソースの強化

Red Hat では、コード、ドキュメント、Web プロパティーにおける配慮に欠ける用語の置き換えに取り組んでいます。このような変更は、段階的に実施される予定です。詳細情報: Red Hat ブログ.

Red Hat ドキュメントについて

Legal Notice

Theme

© 2026 Red Hat
トップに戻る