springboot2.0 集成elasticsearch，实现检索、分页、排序

springboot整合es的方式：

• transport方式（7.0弃用，8.0移除）
• spring-data（完全当做数据库来用，无法全部支持es，内部也是基于transport，包装后使用非常简单，和JPA基本类似）
• rest（low-level和high-level，low-level非常完善，支持所有版本，需要自己组装request和解析response，high-level是对low-level的包装，必须跟着大版本走）
• 根据官方的建议，我们一般采用high-level的方式来对ES操作，high-level方式无法实现的用low-level实现。
• 本文用low-level方式实现获取所有索引列表GET /_cat/indices?v，这个在high-level里没有封装，基本的检索、分页、排序用high-level实现。

一、依赖

        
            org.elasticsearch.client
            elasticsearch-rest-high-level-client
            6.5.1
        

        
        
            org.elasticsearch
            elasticsearch
            6.5.1
        

引入库情况：

 

二、application.yml

可以配置多个数据节点
elasticsearch:
  ip: 192.168.31.10:9200,192.168.1.101:9200

三、config

@Configuration
public class ESConfig {
    private Logger logger = LoggerFactory.getLogger(ESConfig.class);
    private static final int ADDRESS_LENGTH = 2;
    private static final String HTTP_SCHEME = "http";

    /**
     * 使用冒号隔开ip和端口
     */
    @Value("${elasticsearch.ip}")
    String[] ipAddress;

    @Bean
    public RestClientBuilder restClientBuilder() {
        HttpHost[] hosts = Arrays.stream(ipAddress)
                .map(this::makeHttpHost)
                .filter(Objects::nonNull)
                .toArray(HttpHost[]::new);
        logger.info("ES hosts:{}", Arrays.toString(hosts));
        return RestClient.builder(hosts);
    }

    //low-level
    @Bean
    public RestClient restClient(){
        return restClientBuilder().build();
    }

　　//high-level
    @Bean(name = "highLevelClient")
    public RestHighLevelClient highLevelClient(@Autowired RestClientBuilder restClientBuilder) {
        restClientBuilder.setMaxRetryTimeoutMillis(60000);
        return new RestHighLevelClient(restClientBuilder);
    }


    private HttpHost makeHttpHost(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, HTTP_SCHEME);
        } else {
            return null;
        }
    }
}

四、low-level实例

@Service
public class ESIndexServiceImpl implements ESIndexService {

    @Resource
    RestClient restClient;

    @Override
    public List getAllESIndex() {
        return getESIndexByName("");
    }

    private  List getDataByQuery(String method,String query)
    {
        Request request = new Request(method.toUpperCase(),query);
        try {
            Response response = restClient.performRequest(request);
            RequestLine requestLine = response.getRequestLine();
            HttpHost host = response.getHost();
            int statusCode = response.getStatusLine().getStatusCode();
            Header[] headers = response.getHeaders();
            System.out.println(requestLine);
            System.out.println(host);
            System.out.println(statusCode);
            System.out.println(headers);
            String responseBody = EntityUtils.toString(response.getEntity());
            ObjectMapper mapper = new ObjectMapper();

            List list = mapper.readValue(responseBody,new TypeReference>(){});

            return list;
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
　　
    //获取指定或者所有索引
    //cat api不支持分页，所以数据返回后在client分页，做在前端，数据量也不大
    @Override
    public List getESIndexByName(String index) {
        if(index==null) index = "";
        String strQuery = "/_cat/indices/*"+index+"*?v&h=uuid,health,status,index,docsCount,storeSize,cds&s=cds:desc&format=json";
        List list =  getDataByQuery("GET",strQuery);
        return list;
    }
}

实体：

//实体和response返回字段一致，可以用反序列化直接生成对象
public class ESIndexObject implements Serializable {
    private String uuid;
    private String index;
    private String health;
    private String status;
    private int docsCount;
    private String storeSize;
    private String cds; //creation.date.string

    。。。省略getter,setter
}

五、high-level方式

数据：

PUT customer
{
  "settings": {
    "number_of_replicas": 0,
    "number_of_shards": 1,
    "index":{
      "analysis.analyzer.default.type":"ik_max_word",
      "analysis.search_analyzer.default.type":"ik_smart"
    }
  },
  "mappings": {
    "doc":{
      "properties":{
        
      }
    }
  }
}
类似这样，多弄几个数据
POST /customer/doc/510228192101063619
{
  "name":"燕子李三",
  "id":"510228192101063619",
  "addr":"天津市前卫营850号",
  "tel":"13700102347"
}

实体：

public class ESCustomer implements Serializable {
    private long id;
    private String name;
    private String addr;
    private String tel;

    ...省略getter,setter
}

实现检索，支持排序和分页：

@Service
public class ESCustomerServiceImpl implements ESCustomerService {
    @Resource
    RestClient restClient;

    @Resource(name = "highLevelClient")
    RestHighLevelClient restHighLevelClient;

    private ObjectMapper mapper = new ObjectMapper();

    private String indexName = "customer";

    //包装SearchResponse返回数据到List
    private  List wrapperData(SearchResponse response) throws Exception {
        SearchHits hits = response.getHits();
        long totalHits = hits.getTotalHits();
        System.out.println("Customer search totalHits:" + totalHits);
        List list = new ArrayList<>();
        SearchHit[] searchHits = hits.getHits();
        //SearchHits实现了Iterable接口，可以直接进行迭代
        //根据测试这里可以用hits变量替换searchHits变量
        for (SearchHit hit : searchHits) {
            String index = hit.getIndex(); //获取文档的index
            String type = hit.getType(); //获取文档的type
            String id = hit.getId(); //获取文档的id
            Map sourceMap = hit.getSourceAsMap(); //获取文档内容，封装为map
            System.out.println("index:" + index + ",type:" + type + ",id:" + id + ",\nsource:" + sourceMap);
            String sourceString = hit.getSourceAsString(); //获取文档内容，转换为json字符串。
            T object = mapper.readValue(sourceString, new TypeReference() {
            });
            list.add(object);
        }
        return list;
    }

    //包装SearchSourceBuilder，用pageable完成分页和排序的设置
    //排序字段必须建立keyword字段
    private SearchSourceBuilder wrapperBuilder(SearchSourceBuilder builder, Pageable pageable) {
        builder.from(pageable.getPageNumber() * pageable.getPageSize());
        builder.size(pageable.getPageSize());
        Sort sort = pageable.getSort();
        Iterator iterator = sort.iterator();
        while (iterator.hasNext()) {
            Sort.Order order = (Sort.Order) iterator.next();
            //用keyword字段来排序，所以在建立索引的时候，就必须同步建立keyword字段
            builder.sort(order.getProperty() + ".keyword", order.getDirection() == Sort.Direction.ASC ? SortOrder.ASC : SortOrder.DESC);
        }
        return builder;
    }

    @Override
    public Page searchAllInPage(Pageable pageable) {
       return searchAllByAllField("",pageable);
    }

    //后期代码需重构，通过反射获取字段，然后构建数组来实现
　　//query有值就按按值做全字段全文检索，对于类似身份证和电话等字段采用通配wildcard检索方式，query无值则返回所有数据
   //按Pageable分页和排序，暂时只能排序一个字段　　
    @Override
    public Page searchAllByAllField(String query, Pageable pageable) {
        SearchRequest searchRequest = new SearchRequest(this.indexName);
        SearchSourceBuilder builder = wrapperBuilder(new SearchSourceBuilder(),pageable);
        if(query==null||query=="")
        {
            builder.query(QueryBuilders.matchAllQuery());
        }else {
            BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery()
                    .should(QueryBuilders.matchQuery("name",query))
                    .should(QueryBuilders.matchQuery("addr",query))
                    .should(QueryBuilders.wildcardQuery("tel","*"+query+"*"))
                    .should(QueryBuilders.wildcardQuery("id","*"+query+"*"));
            builder.query(boolQueryBuilder);
        }
        searchRequest.source(builder);
        try {
            SearchResponse searchResponse = restHighLevelClient.search(searchRequest,RequestOptions.DEFAULT);
            List esCustomerList = wrapperData(searchResponse);
            Page esCustomerPage = new PageImpl<>(esCustomerList, pageable,
                    searchResponse.getHits().getTotalHits());
            return esCustomerPage;
        }catch (Exception e)
        {
            e.printStackTrace();
            return  null;
        }
    }

    @Override
    public List searchAll() {
        SearchRequest searchRequest = new SearchRequest(indexName);
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());
        searchRequest.source(searchSourceBuilder);
        try {
            SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);

            List esCustomerList = wrapperData(searchResponse);
            return esCustomerList;

        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    // 使用low-level方式实现检索
    // 需要自己实现返回的json数据封装，演示，暂时未实现
    @Deprecated
    public List searchByNameByRaw(String name) {
        String query = "{\n" +
                "  \"query\": {\n" +
                "    \"match\": {\n" +
                "      \"name\": {\n" +
                "        \"query\": \"" + name + "\"\n" +
                "        , \"analyzer\": \"ik_smart\"\n" +
                "      }\n" +
                "    }\n" +
                "  },\n" +
                "  \"highlight\": {\n" +
                "    \"fields\": {\"name\": {}}\n" +
                "  }\n" +
                "}";
        Request request = new Request("GET", "/user*/_search");
        HttpEntity httpEntity = new NStringEntity(query, ContentType.APPLICATION_JSON);
        request.setEntity(httpEntity);

        try {
            Response response = restClient.performRequest(request);
            String responseBody = EntityUtils.toString(response.getEntity());
            System.out.println(response);
            System.out.println(responseBody);
            JSONObject jsonObject = JSON.parseObject(responseBody);
            Object hits = jsonObject.get("hits");
            System.out.println(hits);
            ObjectMapper mapper = new ObjectMapper();
            Map mapResponseBody = mapper.readValue(responseBody, Map.class);
            Object source = mapResponseBody.get("hits");
            System.out.println(source);
//            List list = mapper.readValue(responseBody,new TypeReference>(){});

//            return list;
            return null;
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
}

 Controller:

@Controller
@RequestMapping("/esCustomer")
public class ESCustomerController {
    @Resource
    ESCustomerService esCustomerService;

    @RequestMapping("/list")
    public String list() {
        return "/ESCustomer/customerList";
    }

    @RequestMapping("/getList")
    @ResponseBody
    public Object getESCustomerList(HttpServletRequest request) {

        Pageable pageable = ControllerUtils.getPageInfo(request);
        String searchText = ControllerUtils.getSearchText(request);
        Page page = esCustomerService.searchAllByAllField(searchText,pageable);

        Map map = new HashMap<>();
        map.put("total", page.getTotalElements());
        map.put("rows", page.getContent());

        return map;
    }
}

 

转载于:https://www.cnblogs.com/asker009/p/10179544.html