08 Spring Data ElasticSearch的常用操作
1 增删改查方法测试
public interface ArticleService {
//保存
public void save(Article article);
//删除
public void delete(Article article);
//查询全部
public Iterable<Article> findAll();
//分页查询
public Page<Article> findAll(Pageable pageable);
}
@Service
public class ArticleServiceImpl implements ArticleService { @Autowired
private ArticleRepository articleRepository;
public void save(Article article) {
articleRepository.save(article);
}
public void delete(Article article) {
articleRepository.delete(article);
}
public Iterable<Article> findAll() {
Iterable<Article> iter = articleRepository.findAll();
return iter;
}
public Page<Article> findAll(Pageable pageable) {
return articleRepository.findAll(pageable);
}
}
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration(locations="classpath:applicationContext.xml")
public class SpringDataESTest {
@Autowired
private ArticleService articleService; @Autowired
private TransportClient client;
@Autowired private ElasticsearchTemplate elasticsearchTemplate;
/**创建索引和映射*/
@Test
public void createIndex(){
elasticsearchTemplate.createIndex(Article.class);
elasticsearchTemplate.putMapping(Article.class);
}
/**测试保存文档*/
@Test
public void saveArticle(){
Article article = new Article();
article.setId(100);
article.setTitle("测试SpringData ElasticSearch");
article.setContent("Spring Data ElasticSearch 基于 spring data API 简化 elasticSearch操 作,将原始操作elasticSearch的客户端API 进行封装 \n" + " Spring Data为Elasticsearch Elasticsearch项目提供集成搜索引擎");
articleService.save(article);
}
/**测试保存*/
@Test
public void save(){
Article article = new Article();
article.setId(1001);
article.setTitle("elasticSearch 3.0版本发布");
article.setContent("ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的 全文搜索引擎,基于RESTful web接口");
articleService.save(article);
}
/**测试更新*/
@Test
public void update(){
Article article = new Article();
article.setId(1001);
article.setTitle("elasticSearch 3.0版本发布...更新");
article.setContent("ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的 全文搜索引擎,基于RESTful web接口");
articleService.save(article);
}
/**测试删除*/
@Test
public void delete(){
Article article = new Article();
article.setId(1001);
articleService.delete(article);
}
/**批量插入*/
@Test
public void save100(){
for(int i=1;i<=100;i++){
Article article = new Article();
article.setId(i);
article.setTitle(i+"elasticSearch 3.0版本发布..,更新"); article.setContent(i+"ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用 户能力的全文搜索引擎,基于RESTful web接口"); articleService.save(article);
}
}
/**分页查询*/
@Test
public void findAllPage(){
Pageable pageable = PageRequest.of(1,10);
Page<Article> page = articleService.findAll(pageable);
for(Article article:page.getContent()){
System.out.println(article);
}
}
}
2 常用查询命名规则

3 查询方法测试
1)dao层实现
public interface ArticleRepository extends ElasticsearchRepository<Article, Integer> {
//根据标题查询
List<Article> findByTitle(String condition);
//根据标题查询(含分页)
Page<Article> findByTitle(String condition, Pageable pageable);
}
@Service
public class ArticleServiceImpl implements ArticleService {
@Autowired
private ArticleRepository articleRepository;
public List<Article> findByTitle(String condition) {
return articleRepository.findByTitle(condition);
} public Page<Article> findByTitle(String condition, Pageable pageable) {
return articleRepository.findByTitle(condition,pageable);
}
}
3)测试代码
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration(locations="classpath:applicationContext.xml")
public class SpringDataESTest {
@Autowired
private ArticleService articleService;
@Autowired
private TransportClient client;
@Autowired
private ElasticsearchTemplate elasticsearchTemplate;
/**条件查询*/
@Test
public void findByTitle(){
String condition = "版本"; List<Article> articleList = articleService.findByTitle(condition);
for(Article article:articleList){
System.out.println(article);
}
}
/**条件分页查询*/
@Test
public void findByTitlePage(){
String condition = "版本";
Pageable pageable = PageRequest.of(2,10); Page<Article> page = articleService.findByTitle(condition,pageable);
for(Article article:page.getContent()){
System.out.println(article);
}
}
}
4 使用Elasticsearch的原生查询对象进行查询。
@Test
public void findByNativeQuery() {
//创建一个SearchQuery对象
SearchQuery searchQuery = new NativeSearchQueryBuilder()
//设置查询条件,此处可以使用QueryBuilders创建多种查询
.withQuery(QueryBuilders.queryStringQuery("备份节点上没有数 据").defaultField("title"))
//还可以设置分页信息
.withPageable(PageRequest.of(1, 5))
//创建SearchQuery对象
.build();
//使用模板对象执行查询
elasticsearchTemplate.queryForList(searchQuery, Article.class) .forEach(a‐> System.out.println(a));
}
本文详细介绍SpringDataElasticSearch的使用方法,包括增删改查、分页查询及条件查询等核心操作,并通过具体代码示例展示了如何高效地与ElasticSearch进行交互。

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