Spring Boot + Elasticsearch

spring data elasticsearch	elasticsearch
2.0.0.RELEASE	2.2.0
1.4.0.M1	1.7.3
1.3.0.RELEASE	1.5.2
1.2.0.RELEASE	1.4.4
1.1.0.RELEASE	1.3.2
1.0.0.RELEASE

https://github.com/helloworldtang/spring-data-elasticsearch

1、None of the configured nodes are available 或者

　　org.elasticsearch.transport.RemoteTransportException: Failed to deserialize exception response from stream

　原因：spring data elasticSearch 的版本与Spring boot、Elasticsearch版本不匹配。

　解决：

Spring Boot Version (x)	Spring Data Elasticsearch Version (y)	Elasticsearch Version (z)
x <= 1.3.5	y <= 1.3.4	z <= 1.7.2*
x >= 1.4.x	2.0.0 <=y < 5.0.0**	2.0.0 <= z < 5.0.0**

　　　　这是版本之间的对应关系。Spring boot 1.3.5默认的elasticsearch版本是1.5.2，此时启动1.7.2版本以下的Elasticsearch客户端连接正常。

　　注：注意java的es默认连接端口是9300，9200是http端口，这两个在使用中应注意区分。

2、Caused by: java.lang.IllegalArgumentException: @ConditionalOnMissingBean annotations must specify at least one bean (type, name or annotation)

　　原因：spring boot是1.3.x版本，而es采用了2.x版本。在es的2.x版本去除了一些类，而这些类在spring boot的1.3.x版本中仍然被使用，导致此错误。

　　解决：依照问题1中的版本对应关系，启动特定版本的es即可。

http://www.cnblogs.com/slimer/p/5643820.html

 

The Integration Zone is brought to you in partnership with 3scale. Take control of your APIs and get a free t-shirt when you complete the 3step Challenge. 

We often use Elasticsearch to improve performance in our application, especially searching and caching, to make our application scale and adapt in real-time.

Elasticsearch is a flexible and powerful open source, distributed, real-time search and analytics engine. In this article, I would like to introduce how to use Elasticsearch in java applications: by using Spring Boot data Elasticsearch. Spring Boot now easy and powerful, and we can build fast Java and web applications with a simple configuration.

By following the steps below, you can start writing your first application.

Source code: https://github.com/herotl2005/spring-data-elasticsearch-sample

Requirement enviroment

1. Install Elasticsearch

2. Install Gradle

3. IDE Eclipse or Intellij  IDEA

Step by Step Coding

1. Gradle build 

dependencies {
testCompile group: 'junit', name: 'junit', version: '4.11'
compile 'org.springframework.boot:spring-boot-starter-data-elasticsearch:1.2.0.RELEASE'
compile 'org.springframework.data:spring-data-cassandra:1.1.1.RELEASE'
compile 'org.springframework:spring-test:4.1.2.RELEASE'
compile 'org.springframework.boot:spring-boot-starter-logging:1.2.0.RELEASE'
compile 'org.springframework.boot:spring-boot-starter-web:1.2.0.RELEASE'
compile 'org.springframework.boot:spring-boot-starter-actuator:1.2.0.RELEASE'
}

2. Elasticsearch configuration

@Configuration@PropertySource(value = "classpath:elasticsearch.properties")
@EnableElasticsearchRepositories(basePackages = "co.paan.repository")
public class ElasticsearchConfiguration {
    @Resource
private Environment environment;
@Bean
public Client client() {
        TransportClient client = new TransportClient();
TransportAddress address = new InetSocketTransportAddress(environment.getProperty("elasticsearch.host"), Integer.parseInt(environment.getProperty("elasticsearch.port")));
client.addTransportAddress(address);        
return client;
}

    @Beanpublic ElasticsearchOperations elasticsearchTemplate() {
        return new ElasticsearchTemplate(client());
     }
}

You put elasticsearch host and post in your application properties file.

elasticsearch.host = localhost
 # if you use you local elasticsearch host
elasticsearch.port = 9300

3. Data mapping object: 

In this application, we have 2 entities data object mapping: Post and Tag

@Document(indexName = "post", type = "post", shards = 1, replicas = 0)
public class Post {
@Idprivate String id;    private String title;// 
@Field(type= FieldType.Nested)
private List<Tag> tags;   
 public String getId() {
        return id;
}

    public void setId(String id) {
        this.id = id;
}

    public String getTitle() {
        return title;
}

    public void setTitle(String title) {
        this.title = title;
}

    public List<Tag> getTags() {
        return tags;
}

    public void setTags(List<Tag> tags) {
        this.tags = tags;}
}

public class Tag {
 private String id;   
 private String name;   
 public String getId() {
        return id;
    }
    public void setId(String id) {
        this.id = id;
    }
    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
  }
}

4. Repository: we extends from ElasticsearchRepository

public interface PostRepository extends ElasticsearchRepository<Post, String>{

    Page<Post> findByTagsName(String name, Pageable pageable);
}

5. Data access service

public interface PostService {
    Post save(Post post);
    Post findOne(String id);
    Iterable<Post> findAll();
    Page<Post> findByTagsName(String tagName, PageRequest pageRequest);
}

@Servicepublic class PostServiceImpl implements PostService{
    @Autowired
private PostRepository postRepository;
@Override
public Post save(Post post) {
        postRepository.save(post);        

              return post;
       }

    @Overridepublic Post findOne(String id) {
        return postRepository.findOne(id);
   }

    @Overridepublic Iterable<Post> findAll() {
        return postRepository.findAll();
   }

    @Overridepublic Page<Post> findByTagsName(String tagName, PageRequest pageRequest) {
        return postRepository.findByTagsName(tagName, pageRequest);
   }
}

6. Testing and the result

@Testpublic void testFindByTagsName() throws Exception {
Tag tag = new Tag();
tag.setId("1");
tag.setName("tech");
Tag tag2 = new Tag();
tag2.setId("2");
tag2.setName("elasticsearch");
Post post = new Post();
post.setId("1");
post.setTitle("Bigining with spring boot application and elasticsearch");
post.setTags(Arrays.asList(tag, tag2));
postService.save(post);
Post post2 = new Post();
post2.setId("1");
post2.setTitle("Bigining with spring boot application");
post2.setTags(Arrays.asList(tag));
postService.save(post);
Page<Post> posts  = postService.findByTagsName("tech", new PageRequest(0,10));Page<Post> posts2  = postService.findByTagsName("tech", new PageRequest(0,10));Page<Post> posts3  = postService.findByTagsName("maz", new PageRequest(0,10));assertThat(posts.getTotalElements(), is(1L));
assertThat(posts2.getTotalElements(), is(1L));
assertThat(posts3.getTotalElements(), is(0L));
}

7. You can find detail project at github: https://github.com/herotl2005/spring-data-elasticsearch-sample

The Integration Zone is brought to you in partnership with 3scale. Learn how API providers have changed the way we think about integration in The Platform Vision of API Giants.

转载地址：https://dzone.com/articles/first-step-spring-boot-and

http://blog.csdn.net/hong0220/article/details/50583409

spring data elasticsearch 查询方式：

1、通过名字解析

1 2 3 4 5 6 7 8 9 10 11 12 13

public interface BookRepository extends Repository<Book, String> {     List<Book> findByNameAndPrice(String name, Integer price); } 根据上面的方法名会生成下面的Elasticsearch查询语句 { "bool" :     { "must" :         [             { "field" : {"name" : "?"} },             { "field" : {"price" : "?"} }         ]     } }

2、@query注解

1 2 3 4

public interface BookRepository extends ElasticsearchRepository<Book, String> {     @Query("{"bool" : {"must" : {"field" : {"name" : "?0"}}}}")     Page<Book> findByName(String name,Pageable pageable); }

3、构建Filter

1 2 3 4 5 6 7 8 9 10 11

使用过滤器可以提高查询速度+   private ElasticsearchTemplate elasticsearchTemplate;   SearchQuery searchQuery = new NativeSearchQueryBuilder()     .withQuery(matchAllQuery())     .withFilter(boolFilter().must(termFilter("id", documentId)))     .build();   Page<SampleEntity> sampleEntities =     elasticsearchTemplate.queryForPage(searchQuery,SampleEntity.class);

利用Scan和Scroll处理大结果集

Elasticsearch在处理大结果集时可以使用scan和scroll。在Spring Data Elasticsearch中，可以向下面那样使用ElasticsearchTemplate来使用scan和scroll处理大结果集。

Example 39. Using Scan and Scroll(使用scan和scroll)

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

SearchQuery searchQuery = new NativeSearchQueryBuilder()     .withQuery(matchAllQuery())     .withIndices("test-index")     .withTypes("test-type")     .withPageable(new PageRequest(0,1))     .build(); String scrollId = elasticsearchTemplate.scan(searchQuery,1000,false); List<SampleEntity> sampleEntities = new ArrayList<SampleEntity>(); boolean hasRecords = true; while (hasRecords){     Page<SampleEntity> page = elasticsearchTemplate.scroll(scrollId, 5000L , new ResultsMapper<SampleEntity>()     {         @Override         public Page<SampleEntity> mapResults(SearchResponse response) {             List<SampleEntity> chunk = new ArrayList<SampleEntity>();             for(SearchHit searchHit : response.getHits()){                 if(response.getHits().getHits().length <= 0) {                     return null;                 }                 SampleEntity user = new SampleEntity();                 user.setId(searchHit.getId());                 user.setMessage((String)searchHit.getSource().get("message"));                 chunk.add(user);             }             return new PageImpl<SampleEntity>(chunk);         }     });     if(page != null) {         sampleEntities.addAll(page.getContent());         hasRecords = page.hasNextPage();     }     else{         hasRecords = false;     }     } }

http://www.cnblogs.com/rainwang/p/5725214.html