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-elasticsearchhtml

一、None of the configured nodes are available 或者java

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

 緣由:spring data elasticSearch 的版本與Spring boot、Elasticsearch版本不匹配。git

 解決:github

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**

    這是版本之間的對應關係。Spring boot 1.3.5默認的elasticsearch版本是1.5.2,此時啓動1.7.2版本如下的Elasticsearch客戶端鏈接正常。web

  注:注意java的es默認鏈接端口是9300,9200是http端口,這兩個在使用中應注意區分。spring

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

  緣由:spring boot是1.3.x版本,而es採用了2.x版本。在es的2.x版本去除了一些類,而這些類在spring boot的1.3.x版本中仍然被使用,致使此錯誤。elasticsearch

  解決:依照問題1中的版本對應關係,啓動特定版本的es便可。ide

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

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轉載地址:https://dzone.com/articles/first-step-spring-boot-and

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

spring data elasticsearch 查詢方式:

一、經過名字解析

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public  interface  BookRepository  extends  Repository<Book, String>
{
     List<Book> findByNameAndPrice(String name, Integer price);
}
根據上面的方法名會生成下面的Elasticsearch查詢語句
"bool"  :
     "must"  :
         [
             "field"  : { "name"  "?" } },
             "field"  : { "price"  "?" } }
         ]
     }
}

二、@query註解

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

三、構建Filter

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使用過濾器能夠提升查詢速度+
 
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處理大結果集

Elasticsearch在處理大結果集時能夠使用scan和scroll。在Spring Data Elasticsearch中,能夠向下面那樣使用ElasticsearchTemplate來使用scan和scroll處理大結果集。

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

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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

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