spring-data-elasticsearch 2.5.14 如何创建自定义分词器

Spring Data Elasticsearch 2.5.14中，可以通过以下步骤来创建自定义分词器：

    创建一个实现org.elasticsearch.index.analysis.AnalysisModule.AnalysisProvider接口的类，该类将负责创建自定义分词器的实例。

    import org.elasticsearch.index.analysis.AnalysisModule;

    public class CustomAnalyzerProvider implements AnalysisModule.AnalysisProvider<CustomAnalyzer> {

        @Override
        public CustomAnalyzer get() {
            // 创建自定义分词器的实例，并进行相应的配置
            return new CustomAnalyzer();
        }
    }

    创建自定义分词器类CustomAnalyzer，继承org.elasticsearch.index.analysis.Analyzer类，并实现相应的方法。

    import org.apache.lucene.analysis.Analyzer;
    import org.apache.lucene.analysis.Tokenizer;
    import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
    import org.elasticsearch.common.settings.Settings;
    import org.elasticsearch.env.Environment;
    import org.elasticsearch.index.IndexSettings;
    import org.elasticsearch.index.analysis.AbstractTokenizerFactory;
    import org.elasticsearch.index.analysis.TokenizerFactory;

    public class CustomAnalyzer extends Analyzer {

        @Override
        protected TokenStreamComponents createComponents(String fieldName) {
            // 创建自定义的分词器组件，并进行相应的配置
            Tokenizer tokenizer = new CustomTokenizer();
            return new TokenStreamComponents(tokenizer);
        }
    }

    创建自定义分词器组件类CustomTokenizer，继承org.apache.lucene.analysis.Tokenizer类，并实现相应的方法。

    import org.apache.lucene.analysis.Tokenizer;
    import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;

    public class CustomTokenizer extends Tokenizer {

        private CharTermAttribute termAttribute;

        public CustomTokenizer() {
            // 初始化分词器组件
            termAttribute = addAttribute(CharTermAttribute.class);
        }

        @Override
        public boolean incrementToken() throws IOException {
            // 实现自定义的分词逻辑
            // 将分词结果设置到termAttribute中

            return false; // 返回false表示没有更多的词汇
        }
    }

    在Spring配置文件中注册自定义分词器。

    <elasticsearch:repositories base-package="com.example.repository" />

    <bean id="elasticsearchClient" class="org.springframework.data.elasticsearch.client.TransportClientFactoryBean">
        <property name="clusterNodes" value="localhost:9300" />
    </bean>

    <bean id="elasticsearchTemplate" class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
        <constructor-arg ref="elasticsearchClient" />
        <constructor-arg>
            <bean class="org.springframework.data.elasticsearch.core.convert.MappingElasticsearchConverter">
                <constructor-arg ref="elasticsearchMappingContext" />
            </bean>
        </constructor-arg>
    </bean>

    <bean id="analysisProvider" class="com.example.CustomAnalyzerProvider" />

    <elasticsearch:node-client id="client" local="true" node-data="true" network.host="localhost">
        <elasticsearch:plugins>
            <elasticsearch:plugin name="analysis-plugin" className="org.elasticsearch.index.analysis.AnalysisModule" factory-bean="analysisProvider" factory-method="get" />
        </elasticsearch:plugins>
    </elasticsearch:node-client>

以上就是使用Spring Data Elasticsearch 2.5.14创建自定义分词器的步骤。你可以根据实际需求，在CustomAnalyzer和CustomTokenizer类中实现你自己的分词逻辑。