【实战】SpringBoot 整合 Elasticsearch 实现海量级数据搜索
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);
}
}
}
• 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
public 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。
由于篇幅的原因,我们会在下篇文章中重点介绍 es 的各种高级查询 API,文章内容难免会有些遗漏的地方,欢迎网友批评指出!
本文转载自公共号Java极客技术。