SpringBoot Elasticsearch数据搜索
鸭血粉丝Tang 人气:0一、简介
在上篇 ElasticSearch 文章中，我们详细的介绍了 ElasticSearch 的各种 api 使用。
实际的项目开发过程中，我们通常基于某些主流框架平台进行技术开发，比如 SpringBoot，今天我们就以 SpringBoot 整合
ElasticSearch 为例，给大家详细的介绍 ElasticSearch 的使用！
SpringBoot 连接 ElasticSearch，主流的方式有以下四种方式
- 方式一：通过Elastic Transport Client客户端连接 es 服务器，底层基于 TCP 协议通过 transport 模块和远程 ES 服务端通信，不过，从 V7.0 开始官方不建议使用，V8.0开始正式移除。
- 方式二：通过Elastic Java Low Level Rest Client客户端连接 es 服务器，底层基于 HTTP 协议通过 restful API 来和远程 ES 服务端通信，只提供了最简单最基本的 API，类似于上篇文章中给大家介绍的 API 操作逻辑。
- 方式三：通过Elastic Java High Level Rest Client客户端连接 es 服务器，底层基于Elastic Java Low Level Rest Client客户端做了一层封装，提供了更高级得 API 且和Elastic Transport Client接口及参数保持一致，官方推荐的 es 客户端。
- 方式四：通过JestClient客户端连接 es 服务器，这是开源社区基于 HTTP 协议开发的一款 es 客户端，官方宣称接口及代码设计比 ES 官方提供的 Rest 客户端更简洁、更合理，更好用，具有一定的 ES 服务端版本兼容性，但是更新速度不是很快，目前 ES 版本已经出到 V7.9，但是JestClient只支持 V1.0~V6.X 版 本的 ES。
还有一个需要大家注意的地方，那就是版本号的兼容！
在开发过程中，大家尤其需要关注一下客户端和服务端的版本号，要尽可能保持一致，比如服务端 es 的版本号是6.8.2，那么连接 es 的客户端版本号，最好也是6.8.2，即使因项目的原因不能保持一致，客户端的版本号必须在6.0.0 ～6.8.2，不要超过服务器的版本号，这样客户端才能保持正常工作，否则会出现很多意想不到的问题，假如客户端是7.0.4的版本号，此时的程序会各种报错，甚至没办法用!
为什么要这样做呢?主要原因就是 es 的服务端，高版本不兼容低版本;es6 和 es7 的某些 API 请求参数结构有着很大的区别，所以客户端和服务端版本号尽量保持一致。
废话也不多说了，直接上代码!
二、代码实践
本文采用的SpringBoot版本号是2.1.0.RELEASE，服务端 es 的版本号是6.8.2，客户端采用的是官方推荐的Elastic Java High Level Rest Client版本号是6.4.2，方便与SpringBoot的版本兼容。
2.1、导入依赖
<!--elasticsearch-->
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<version>6.4.2</version>
</dependency>
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-client</artifactId>
<version>6.4.2</version>
</dependency>
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>6.4.2</version>
</dependency>2.2、配置环境变量
在application.properties全局配置文件中，配置elasticsearch自定义环境变量。
elasticsearch.scheme=http elasticsearch.address=127.0.0.1:9200 elasticsearch.userName= elasticsearch.userPwd= elasticsearch.socketTimeout=5000 elasticsearch.connectTimeout=5000 elasticsearch.connectionRequestTimeout=5000
2.3、创建 elasticsearch 的 config 类
@Configuration
public class ElasticsearchConfiguration {
private static final Logger log = LoggerFactory.getLogger(ElasticsearchConfiguration.class);
private static final int ADDRESS_LENGTH = 2;
@Value("${elasticsearch.scheme:http}")
private String scheme;
@Value("${elasticsearch.address}")
private String address;
@Value("${elasticsearch.userName}")
private String userName;
@Value("${elasticsearch.userPwd}")
private String userPwd;
@Value("${elasticsearch.socketTimeout:5000}")
private Integer socketTimeout;
@Value("${elasticsearch.connectTimeout:5000}")
private Integer connectTimeout;
@Value("${elasticsearch.connectionRequestTimeout:5000}")
private Integer connectionRequestTimeout;
/**
* 初始化客户端
* @return
*/
@Bean(name = "restHighLevelClient")
public RestHighLevelClient restClientBuilder() {
HttpHost[] hosts = Arrays.stream(address.split(","))
.map(this::buildHttpHost)
.filter(Objects::nonNull)
.toArray(HttpHost[]::new);
RestClientBuilder restClientBuilder = RestClient.builder(hosts);
// 异步参数配置
restClientBuilder.setHttpClientConfigCallback(httpClientBuilder -> {
httpClientBuilder.setDefaultCredentialsProvider(buildCredentialsProvider());
return httpClientBuilder;
});
// 异步连接延时配置
restClientBuilder.setRequestConfigCallback(requestConfigBuilder -> {
requestConfigBuilder.setConnectionRequestTimeout(connectionRequestTimeout);
requestConfigBuilder.setSocketTimeout(socketTimeout);
requestConfigBuilder.setConnectTimeout(connectTimeout);
return requestConfigBuilder;
});
return new RestHighLevelClient(restClientBuilder);
}
/**
* 根据配置创建HttpHost
* @param s
* @return
*/
private HttpHost buildHttpHost(String s) {
String[] address = s.split(":");
if (address.length == ADDRESS_LENGTH) {
String ip = address[0];
int port = Integer.parseInt(address[1]);
return new HttpHost(ip, port, scheme);
} else {
return null;
}
}
/**
* 构建认证服务
* @return
*/
private CredentialsProvider buildCredentialsProvider(){
final CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
credentialsProvider.setCredentials(AuthScope.ANY, new UsernamePasswordCredentials(userName,
userPwd));
return credentialsProvider;
}
}至此，客户端配置完毕，项目启动的时候，会自动注入到Spring的ioc容器里面。
2.4、索引管理
es 中最重要的就是索引库，客户端如何创建呢?请看下文！
创建索引
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 创建索引（简单模式）
* @throws IOException
*/
@Test
public void createIndex() throws IOException {
CreateIndexRequest request = new CreateIndexRequest("cs_index");
CreateIndexResponse response = client.indices().create(request, RequestOptions.DEFAULT);
System.out.println(response.isAcknowledged());
}
/**
* 创建索引（复杂模式）
* 可以直接把对应的文档结构也一并初始化
* @throws IOException
*/
@Test
public void createIndexComplete() throws IOException {
CreateIndexRequest request = new CreateIndexRequest();
//索引名称
request.index("cs_index");
//索引配置
Settings settings = Settings.builder()
.put("index.number_of_shards", 3)
.put("index.number_of_replicas", 1)
.build();
request.settings(settings);
//映射结构字段
Map<String, Object> properties = new HashMap();
properties.put("id", ImmutableBiMap.of("type", "text"));
properties.put("name", ImmutableBiMap.of("type", "text"));
properties.put("sex", ImmutableBiMap.of("type", "text"));
properties.put("age", ImmutableBiMap.of("type", "long"));
properties.put("city", ImmutableBiMap.of("type", "text"));
properties.put("createTime", ImmutableBiMap.of("type", "long"));
Map<String, Object> mapping = new HashMap<>();
mapping.put("properties", properties);
//添加一个默认类型
System.out.println(JSON.toJSONString(request));
request.mapping("_doc",mapping);
CreateIndexResponse response = client.indices().create(request, RequestOptions.DEFAULT);
System.out.println(response.isAcknowledged());
}
}删除索引
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 删除索引
* @throws IOException
*/
@Test
public void deleteIndex() throws IOException {
DeleteIndexRequest request = new DeleteIndexRequest("cs_index1");
AcknowledgedResponse response = client.indices().delete(request, RequestOptions.DEFAULT);
System.out.println(response.isAcknowledged());
}
}查询索引
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 查询索引
* @throws IOException
*/
@Test
public void getIndex() throws IOException {
// 创建请求
GetIndexRequest request = new GetIndexRequest();
request.indices("cs_index");
// 执行请求,获取响应
GetIndexResponse response = client.indices().get(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
}
}查询索引是否存在
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 检查索引是否存在
* @throws IOException
*/
@Test
public void exists() throws IOException {
// 创建请求
GetIndexRequest request = new GetIndexRequest();
request.indices("cs_index");
// 执行请求,获取响应
boolean response = client.indices().exists(request, RequestOptions.DEFAULT);
System.out.println(response);
}
}查询所有的索引名称
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 查询所有的索引名称
* @throws IOException
*/
@Test
public void getAllIndices() throws IOException {
GetAliasesRequest request = new GetAliasesRequest();
GetAliasesResponse response = client.indices().getAlias(request,RequestOptions.DEFAULT);
Map<String, Set<AliasMetaData>> map = response.getAliases();
Set<String> indices = map.keySet();
for (String key : indices) {
System.out.println(key);
}
}
}查询索引映射字段
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 查询索引映射字段
* @throws IOException
*/
@Test
public void getMapping() throws IOException {
GetMappingsRequest request = new GetMappingsRequest();
request.indices("cs_index");
request.types("_doc");
GetMappingsResponse response = client.indices().getMapping(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
}
}添加索引映射字段
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class IndexJunit {
@Autowired
private RestHighLevelClient client;
/**
* 添加索引映射字段
* @throws IOException
*/
@Test
public void addMapping() throws IOException {
PutMappingRequest request = new PutMappingRequest();
request.indices("cs_index");
request.type("_doc");
//添加字段
Map<String, Object> properties = new HashMap();
properties.put("accountName", ImmutableBiMap.of("type", "keyword"));
Map<String, Object> mapping = new HashMap<>();
mapping.put("properties", properties);
request.source(mapping);
PutMappingResponse response = client.indices().putMapping(request, RequestOptions.DEFAULT);
System.out.println(response.isAcknowledged());
}
}2.5、文档管理
所谓文档，就是向索引里面添加数据，方便进行数据查询，详细操作内容，请看下文！
添加文档
ublic class UserDocument {
private String id;
private String name;
private String sex;
private Integer age;
private String city;
private Date createTime;
//省略get、set...
}@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class DocJunit {
@Autowired
private RestHighLevelClient client;
/**
* 添加文档
* @throws IOException
*/
@Test
public void addDocument() throws IOException {
// 创建对象
UserDocument user = new UserDocument();
user.setId("1");
user.setName("里斯");
user.setCity("武汉");
user.setSex("男");
user.setAge(20);
user.setCreateTime(new Date());
// 创建索引,即获取索引
IndexRequest request = new IndexRequest();
// 外层参数
request.id("1");
request.index("cs_index");
request.type("_doc");
request.timeout(TimeValue.timeValueSeconds(1));
// 存入对象
request.source(JSON.toJSONString(user), XContentType.JSON);
// 发送请求
System.out.println(request.toString());
IndexResponse response = client.index(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
}
}更新文档
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class DocJunit {
@Autowired
private RestHighLevelClient client;
/**
* 更新文档（按需修改）
* @throws IOException
*/
@Test
public void updateDocument() throws IOException {
// 创建对象
UserDocument user = new UserDocument();
user.setId("2");
user.setName("程咬金");
user.setCreateTime(new Date());
// 创建索引,即获取索引
UpdateRequest request = new UpdateRequest();
// 外层参数
request.id("2");
request.index("cs_index");
request.type("_doc");
request.timeout(TimeValue.timeValueSeconds(1));
// 存入对象
request.doc(JSON.toJSONString(user), XContentType.JSON);
// 发送请求
System.out.println(request.toString());
UpdateResponse response = client.update(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
}
}删除文档
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class DocJunit {
@Autowired
private RestHighLevelClient client;
/**
* 删除文档
* @throws IOException
*/
@Test
public void deleteDocument() throws IOException {
// 创建索引,即获取索引
DeleteRequest request = new DeleteRequest();
// 外层参数
request.id("1");
request.index("cs_index");
request.type("_doc");
request.timeout(TimeValue.timeValueSeconds(1));
// 发送请求
System.out.println(request.toString());
DeleteResponse response = client.delete(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
}
}查询文档是不是存在
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class DocJunit {
@Autowired
private RestHighLevelClient client;
/**
* 查询文档是不是存在
* @throws IOException
*/
@Test
public void exists() throws IOException {
// 创建索引,即获取索引
GetRequest request = new GetRequest();
// 外层参数
request.id("3");
request.index("cs_index");
request.type("_doc");
// 发送请求
System.out.println(request.toString());
boolean response = client.exists(request, RequestOptions.DEFAULT);
System.out.println(response);
}
}通过 ID 查询指定文档
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class DocJunit {
@Autowired
private RestHighLevelClient client;
/**
* 通过ID，查询指定文档
* @throws IOException
*/
@Test
public void getById() throws IOException {
// 创建索引,即获取索引
GetRequest request = new GetRequest();
// 外层参数
request.id("1");
request.index("cs_index");
request.type("_doc");
// 发送请求
System.out.println(request.toString());
GetResponse response = client.get(request, RequestOptions.DEFAULT);
System.out.println(response.toString());
}
}批量添加文档
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes = ElasticSearchApplication.class)
public class DocJunit {
@Autowired
private RestHighLevelClient client;
/**
* 批量添加文档
* @throws IOException
*/
@Test
public void batchAddDocument() throws IOException {
// 批量请求
BulkRequest bulkRequest = new BulkRequest();
bulkRequest.timeout(TimeValue.timeValueSeconds(10));
// 创建对象
List<UserDocument> userArrayList = new ArrayList<>();
userArrayList.add(new UserDocument("张三", "男", 30, "武汉"));
userArrayList.add(new UserDocument("里斯", "女", 31, "北京"));
userArrayList.add(new UserDocument("王五", "男", 32, "武汉"));
userArrayList.add(new UserDocument("赵六", "女", 33, "长沙"));
userArrayList.add(new UserDocument("七七", "男", 34, "武汉"));
// 添加请求
for (int i = 0; i < userArrayList.size(); i++) {
userArrayList.get(i).setId(String.valueOf(i));
IndexRequest indexRequest = new IndexRequest();
// 外层参数
indexRequest.id(String.valueOf(i));
indexRequest.index("cs_index");
indexRequest.type("_doc");
indexRequest.timeout(TimeValue.timeValueSeconds(1));
indexRequest.source(JSON.toJSONString(userArrayList.get(i)), XContentType.JSON);
bulkRequest.add(indexRequest);
}
// 执行请求
BulkResponse response = client.bulk(bulkRequest, RequestOptions.DEFAULT);
System.out.println(response.status());
}
}三、小结
本文主要围绕 SpringBoot 整合 ElasticSearch 接受数据的插入和搜索使用技巧，在实际的使用过程中，版本号尤其的重要，不同版本的 es，对应的 api 是不一样的。
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