SpringBoot 自定义Ak 分词库配置详解 - Elasticsearch 集成指南

{/'title/':/'SpringBoot 自定义Ak 分词库配置详解 - Elasticsearch 集成指南/',/'description/':/'本文详细介绍了如何在 Spring Boot 环境下使用自定义的 Ak 分词库，为您的 Elasticsearch 索引提供更精准的中文分词功能。涵盖了从导入分词库 Jar 包、配置分词器到注册和使用自定义分词器的完整步骤。/',/'keywords/':/'SpringBoot, Elasticsearch, Ak 分词库, 中文分词, 自定义分词器, 索引配置/',/'content/':/'在 Spring Boot 环境下使用自定义的中文分词库（如 Ak 分词库），需要进行以下步骤：//n//n1. 导入 Ak 分词库的 Jar 包：将 Ak 分词库的 Jar 包文件（如 ak.jar）导入到项目的依赖中。//n//n2. 配置 Elasticsearch 的分词器：在 application.properties（或 application.yml）文件中添加以下配置：//n//nproperties//nspring.elasticsearch.rest.uris=http://localhost:9200//nspring.elasticsearch.rest.username=username//nspring.elasticsearch.rest.password=password//nspring.elasticsearch.rest.connection-timeout=10000//nspring.elasticsearch.rest.read-timeout=10000//nspring.elasticsearch.rest.max-connections=100//nspring.elasticsearch.rest.max-connections-per-route=100//nspring.elasticsearch.rest.default-headers[Content-Type]=application/json//nspring.elasticsearch.rest.default-headers[Accept]=application/json//nspring.elasticsearch.rest.basic-auth-username=username//nspring.elasticsearch.rest.basic-auth-password=password//nspring.elasticsearch.rest.connection-request-timeout=5000//nspring.elasticsearch.rest.max-retry-timeout=60000//nspring.elasticsearch.rest.retry-on-timeout=false//n//n//n3. 创建自定义分词器：在项目中创建一个继承自 org.elasticsearch.index.analysis.AnalysisProvider 的类，用于提供自定义的分词器。例如，创建一个名为 AKAnalyzerProvider 的类：//n//njava//nimport org.elasticsearch.index.analysis.AnalysisModule.AnalysisProvider;//nimport org.elasticsearch.index.analysis.AnalyzerProvider;//nimport org.elasticsearch.index.analysis.TokenizerFactory;//n//npublic class AKAnalyzerProvider extends AnalysisProvider<AnalyzerProvider<TokenizerFactory>> {//n//n private final AnalyzerProvider<TokenizerFactory> provider;//n//n public AKAnalyzerProvider(Settings settings, String name, String index, Settings indexSettings, Environment environment, ResourceLoader resourceLoader, IndexSettingsService indexSettingsService) {//n super(settings, name, index, indexSettings, environment, resourceLoader, indexSettingsService);//n this.provider = new AKAnalyzerProvider(name, indexSettings, settings);//n }//n//n @Override//n public AnalyzerProvider<TokenizerFactory> get() {//n return provider;//n }//n}//n//n//n4. 注册自定义分词器：在 Spring Boot 的配置类中注册自定义的分词器，例如：//n//njava//n@Configuration//npublic class ElasticsearchConfig extends AbstractElasticsearchConfiguration {//n//n @Bean//n @Override//n public ElasticsearchCustomization elasticsearchCustomization() {//n return new ElasticsearchCustomization() {//n @Override//n public void customize(ElasticsearchRestClientBuilder elasticsearchRestClientBuilder) {//n elasticsearchRestClientBuilder.setHttpClientConfigCallback(httpClientBuilder -> {//n httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider());//n return httpClientBuilder;//n });//n }//n };//n }//n//n @Bean//n public AKAnalyzerProvider akAnalyzerProvider() {//n return new AKAnalyzerProvider();//n }//n//n @Override//n public List<org.elasticsearch.index.analysis.AnalyzerProvider<?>> getAnalyzers() {//n return List.of(akAnalyzerProvider());//n }//n}//n//n//n5. 使用自定义分词器：在对应的 Elasticsearch 索引的 mapping 中使用自定义的分词器。例如，创建一个名为 my_index 的索引，使用 Ak 分词器：//n//njson//nPUT /my_index//n{//n /'settings/': {//n /'analysis/': {//n /'analyzer/': {//n /'ak_analyzer/': {//n /'type/': /'custom/',//n /'tokenizer/': /'ak_tokenizer/'//n }//n },//n /'tokenizer/': {//n /'ak_tokenizer/': {//n /'type/': /'ak/'//n }//n }//n }//n },//n /'mappings/': {//n /'properties/': {//n /'my_field/': {//n /'type/': /'text/',//n /'analyzer/': /'ak_analyzer/'//n }//n }//n }//n}//n//n//n通过以上步骤，就可以在 Spring Boot 环境下使用自定义的 Ak 分词库。/