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本文主要是介绍 SpringBoot集成案例ES6.x 。

• ElasticSearch:SpringBoot集成ES 6.x
  • 第一步：pom.xml
  • 第二步：application.properties
  • 第三步：创建员工对象实体类 和 分页类
  • 第四步：创建config类
  • 第五步：创建ES操作工具类
  • 第六步：创建controller
• 参考文章

ElasticSearch:SpringBoot集成ES 6.x

新建项目 springboot-es-test 源代码：http://gitlab.heatedloan.com/cici/springboot-es-test (opens new window) 本地项目：/Users/cici/workspace/cici/springboot-es-test

第一步：pom.xml

    <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.elasticsearch/elasticsearch -->
        <dependency>
            <groupId>org.elasticsearch</groupId>
            <artifactId>elasticsearch</artifactId>
            <version>6.4.2</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.elasticsearch.client/transport -->
        <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>transport</artifactId>
            <version>6.4.2</version>
            <exclusions>
                <exclusion>
                    <groupId>org.elasticsearch</groupId>
                    <artifactId>elasticsearch</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <!-- fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.39</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.4</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.projectlombok/lombok -->
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <version>1.16.20</version>
        </dependency>
        <dependency>
            <groupId>commons-httpclient</groupId>
            <artifactId>commons-httpclient</artifactId>
            <version>3.1</version>
        </dependency>

第二步：application.properties

# Elasticsearch
# 9200端口是用来让HTTP REST API来访问ElasticSearch，而9300端口是传输层监听的默认端口
elasticsearch.ip=127.0.0.1
elasticsearch.port=9300
elasticsearch.pool=5
#注意cluster.name需要与config/elasticsearch.yml中的cluster.name一致
elasticsearch.cluster.name=elasticsearch_cici
server.port=8181

第三步：创建员工对象实体类 和 分页类

员工对象实体类

/**
 * @Description:Book实体 加上了@Document注解之后，默认情况下这个实体中所有的属性都会被建立索引、并且分词
 */
@Data
@ToString
@NoArgsConstructor
public class Employee {
    private String id;
    private Long version;
    String firstName;
    String lastName;
    String age;
    String[] interests;
}

分页类

@Data
@ToString
public class EsPage {

    /**
     * 当前页
     */
    private int currentPage;
    /**
     * 每页显示多少条
     */
    private int pageSize;

    /**
     * 总记录数
     */
    private int recordCount;
    /**
     * 本页的数据列表
     */
    private List<Map<String, Object>> recordList;

    /**
     * 总页数
     */
    private int pageCount;
    /**
     * 页码列表的开始索引（包含）
     */
    private int beginPageIndex;
    /**
     * 页码列表的结束索引（包含）
     */
    private int endPageIndex;

    /**
     * 只接受前4个必要的属性，会自动的计算出其他3个属性的值
     *
     * @param currentPage
     * @param pageSize
     * @param recordCount
     * @param recordList
     */
    public EsPage(int currentPage, int pageSize, int recordCount, List<Map<String, Object>> recordList) {
        this.currentPage = currentPage;
        this.pageSize = pageSize;
        this.recordCount = recordCount;
        this.recordList = recordList;

        // 计算总页码
        pageCount = (recordCount + pageSize - 1) / pageSize;

        // 计算 beginPageIndex 和 endPageIndex
        // >> 总页数不多于10页，则全部显示
        if (pageCount <= 10) {
            beginPageIndex = 1;
            endPageIndex = pageCount;
        }
        // 总页数多于10页，则显示当前页附近的共10个页码
        else {
            // 当前页附近的共10个页码（前4个 + 当前页 + 后5个）
            beginPageIndex = currentPage - 4;
            endPageIndex = currentPage + 5;
            // 当前面的页码不足4个时，则显示前10个页码
            if (beginPageIndex < 1) {
                beginPageIndex = 1;
                endPageIndex = 10;
            }
            // 当后面的页码不足5个时，则显示后10个页码
            if (endPageIndex > pageCount) {
                endPageIndex = pageCount;
                beginPageIndex = pageCount - 10 + 1;
            }
        }
    }
}

第四步：创建config类

@Configuration
public class ElasticSearchConfig {

    private static final Logger LOGGER = LoggerFactory.getLogger(ElasticSearchConfig.class);

    /**
     * elk集群地址
     */
    @Value("${elasticsearch.ip}")
    private String hostName;

    /**
     * 端口
     */
    @Value("${elasticsearch.port}")
    private String port;

    /**
     * 集群名称
     */
    @Value("${elasticsearch.cluster.name}")
    private String clusterName;

    /**
     * 连接池
     */
    @Value("${elasticsearch.pool}")
    private String poolSize;

    /**
     * Bean name default  函数名字
     *
     * @return
     */
    @Bean(name = "transportClient")
    public TransportClient transportClient() {
        LOGGER.info("Elasticsearch初始化开始。。。。。");
        TransportClient transportClient = null;
        try {
            // 配置信息
            Settings esSetting = Settings.builder()
                    .put("cluster.name", clusterName) //集群名字
                    .put("client.transport.sniff", true)//增加嗅探机制，找到ES集群
                    .put("thread_pool.search.size", Integer.parseInt(poolSize))//增加线程池个数，暂时设为5
                    .build();
            //配置信息Settings自定义
            transportClient = new PreBuiltTransportClient(esSetting);
            TransportAddress transportAddress = new TransportAddress(InetAddress.getByName(hostName), Integer.valueOf(port));
            transportClient.addTransportAddresses(transportAddress);
        } catch (Exception e) {
            LOGGER.error("elasticsearch TransportClient create error!!", e);
        }
        return transportClient;
    }
}

第五步：创建ES操作工具类

Elasticsearch JAVA操作有三种客户端: 1、TransportClient 2、JestClient 3、RestClient 还有种是2.3中有的NodeClient,在5.5.1中好像没有了。 还有种是spring-data-elasticsearch,这里先以TransportClient为例子。

@Component
public class ElasticsearchUtil {

    private static final Logger LOGGER = LoggerFactory.getLogger(ElasticsearchUtil.class);

    @Autowired
    private TransportClient transportClient;

    private static TransportClient client;

    /**
     * @PostContruct是spring框架的注解 spring容器初始化的时候执行该方法
     */
    @PostConstruct
    public void init() {
        client = this.transportClient;
    }

    /**
     * 创建索引
     *
     * @param index
     * @return
     */
    public static boolean createIndex(String index) {
        if (!isIndexExist(index)) {
            LOGGER.info("Index is not exits!");
        }
        CreateIndexResponse indexresponse = client.admin().indices().prepareCreate(index).execute().actionGet();
        LOGGER.info("执行建立成功？" + indexresponse.isAcknowledged());
        return indexresponse.isAcknowledged();
    }

    /**
     * 删除索引
     *
     * @param index
     * @return
     */
    public static boolean deleteIndex(String index) {
        if (!isIndexExist(index)) {
            LOGGER.info("Index is not exits!");
        }
        DeleteIndexResponse dResponse = client.admin().indices().prepareDelete(index).execute().actionGet();
        if (dResponse.isAcknowledged()) {
            LOGGER.info("delete index " + index + "  successfully!");
        } else {
            LOGGER.info("Fail to delete index " + index);
        }
        return dResponse.isAcknowledged();
    }

    /**
     * 判断索引是否存在
     *
     * @param index
     * @return
     */
    public static boolean isIndexExist(String index) {
        IndicesExistsResponse inExistsResponse = client.admin().indices().exists(new IndicesExistsRequest(index)).actionGet();
        if (inExistsResponse.isExists()) {
            LOGGER.info("Index [" + index + "] is exist!");
        } else {
            LOGGER.info("Index [" + index + "] is not exist!");
        }
        return inExistsResponse.isExists();
    }

    /**
     * @Description: 判断inde下指定type是否存在
     */
    public boolean isTypeExist(String index, String type) {
        return isIndexExist(index)
                ? client.admin().indices().prepareTypesExists(index).setTypes(type).execute().actionGet().isExists()
                : false;
    }

    /**
     * 数据添加，正定ID
     *
     * @param jsonObject 要增加的数据
     * @param index      索引，类似数据库
     * @param type       类型，类似表
     * @param id         数据ID
     * @return
     */
    public static String addData(JSONObject jsonObject, String index, String type, String id) {
        IndexResponse response = client.prepareIndex(index, type, id).setSource(jsonObject).get();
        LOGGER.info("addData response status:{},id:{}", response.status().getStatus(), response.getId());
        return response.getId();
    }

    /**
     * 数据添加
     *
     * @param jsonObject 要增加的数据
     * @param index      索引，类似数据库
     * @param type       类型，类似表
     * @return
     */
    public static String addData(JSONObject jsonObject, String index, String type) {
        return addData(jsonObject, index, type, UUID.randomUUID().toString().replaceAll("-", "").toUpperCase());
    }

    /**
     * 通过ID删除数据
     *
     * @param index 索引，类似数据库
     * @param type  类型，类似表
     * @param id    数据ID
     */
    public static void deleteDataById(String index, String type, String id) {

        DeleteResponse response = client.prepareDelete(index, type, id).execute().actionGet();

        LOGGER.info("deleteDataById response status:{},id:{}", response.status().getStatus(), response.getId());
    }

    /**
     * 通过ID 更新数据
     *
     * @param jsonObject 要增加的数据
     * @param index      索引，类似数据库
     * @param type       类型，类似表
     * @param id         数据ID
     * @return
     */
    public static void updateDataById(JSONObject jsonObject, String index, String type, String id) {

        UpdateRequest updateRequest = new UpdateRequest();

        updateRequest.index(index).type(type).id(id).doc(jsonObject);

        client.update(updateRequest);

    }

    /**
     * 通过ID获取数据
     *
     * @param index  索引，类似数据库
     * @param type   类型，类似表
     * @param id     数据ID
     * @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
     * @return
     */
    public static Map<String, Object> searchDataById(String index, String type, String id, String fields) {

        GetRequestBuilder getRequestBuilder = client.prepareGet(index, type, id);

        if (StringUtils.isNotEmpty(fields)) {
            getRequestBuilder.setFetchSource(fields.split(","), null);
        }

        GetResponse getResponse = getRequestBuilder.execute().actionGet();

        return getResponse.getSource();
    }


    /**
     * 使用分词查询,并分页
     *
     * @param index          索引名称
     * @param type           类型名称,可传入多个type逗号分隔
     * @param startPage      当前页
     * @param pageSize       每页显示条数
     * @param query          查询条件
     * @param fields         需要显示的字段，逗号分隔（缺省为全部字段）
     * @param sortField      排序字段
     * @param highlightField 高亮字段
     * @return
     */
    public static EsPage searchDataPage(String index, String type, int startPage, int pageSize, QueryBuilder query, String fields, String sortField, String highlightField) {
        SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
        if (StringUtils.isNotEmpty(type)) {
            searchRequestBuilder.setTypes(type.split(","));
        }
        searchRequestBuilder.setSearchType(SearchType.QUERY_THEN_FETCH);

        // 需要显示的字段，逗号分隔（缺省为全部字段）
        if (StringUtils.isNotEmpty(fields)) {
            searchRequestBuilder.setFetchSource(fields.split(","), null);
        }

        //排序字段
        if (StringUtils.isNotEmpty(sortField)) {
            searchRequestBuilder.addSort(sortField, SortOrder.DESC);
        }

        // 高亮（xxx=111,aaa=222）
        if (StringUtils.isNotEmpty(highlightField)) {
            HighlightBuilder highlightBuilder = new HighlightBuilder();

            //highlightBuilder.preTags("<span style='color:red' >");//设置前缀
            //highlightBuilder.postTags("</span>");//设置后缀

            // 设置高亮字段
            highlightBuilder.field(highlightField);
            searchRequestBuilder.highlighter(highlightBuilder);
        }

        //searchRequestBuilder.setQuery(QueryBuilders.matchAllQuery());
        searchRequestBuilder.setQuery(query);

        // 分页应用
        searchRequestBuilder.setFrom(startPage).setSize(pageSize);

        // 设置是否按查询匹配度排序
        searchRequestBuilder.setExplain(true);

        //打印的内容 可以在 Elasticsearch head 和 Kibana  上执行查询
        LOGGER.info("\n{}", searchRequestBuilder);

        // 执行搜索,返回搜索响应信息
        SearchResponse searchResponse = searchRequestBuilder.execute().actionGet();

        long totalHits = searchResponse.getHits().totalHits;
        long length = searchResponse.getHits().getHits().length;

        LOGGER.debug("共查询到[{}]条数据,处理数据条数[{}]", totalHits, length);

        if (searchResponse.status().getStatus() == 200) {
            // 解析对象
            List<Map<String, Object>> sourceList = setSearchResponse(searchResponse, highlightField);

            return new EsPage(startPage, pageSize, (int) totalHits, sourceList);
        }

        return null;

    }


    /**
     * 使用分词查询
     *
     * @param index          索引名称
     * @param type           类型名称,可传入多个type逗号分隔
     * @param query          查询条件
     * @param size           文档大小限制
     * @param fields         需要显示的字段，逗号分隔（缺省为全部字段）
     * @param sortField      排序字段
     * @param highlightField 高亮字段
     * @return
     */
    public static List<Map<String, Object>> searchListData(
            String index, String type, QueryBuilder query, Integer size,
            String fields, String sortField, String highlightField) {

        SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
        if (StringUtils.isNotEmpty(type)) {
            searchRequestBuilder.setTypes(type.split(","));
        }

        if (StringUtils.isNotEmpty(highlightField)) {
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            // 设置高亮字段
            highlightBuilder.field(highlightField);
            searchRequestBuilder.highlighter(highlightBuilder);
        }

        searchRequestBuilder.setQuery(query);

        if (StringUtils.isNotEmpty(fields)) {
            searchRequestBuilder.setFetchSource(fields.split(","), null);
        }
        searchRequestBuilder.setFetchSource(true);

        if (StringUtils.isNotEmpty(sortField)) {
            searchRequestBuilder.addSort(sortField, SortOrder.DESC);
        }

        if (size != null && size > 0) {
            searchRequestBuilder.setSize(size);
        }

        //打印的内容 可以在 Elasticsearch head 和 Kibana  上执行查询
        LOGGER.info("\n{}", searchRequestBuilder);

        SearchResponse searchResponse = searchRequestBuilder.execute().actionGet();

        long totalHits = searchResponse.getHits().totalHits;
        long length = searchResponse.getHits().getHits().length;

        LOGGER.info("共查询到[{}]条数据,处理数据条数[{}]", totalHits, length);

        if (searchResponse.status().getStatus() == 200) {
            // 解析对象
            return setSearchResponse(searchResponse, highlightField);
        }
        return null;

    }


    /**
     * 高亮结果集 特殊处理
     *
     * @param searchResponse
     * @param highlightField
     */
    private static List<Map<String, Object>> setSearchResponse(SearchResponse searchResponse, String highlightField) {
        List<Map<String, Object>> sourceList = new ArrayList<Map<String, Object>>();
        StringBuffer stringBuffer = new StringBuffer();

        for (SearchHit searchHit : searchResponse.getHits().getHits()) {
            searchHit.getSourceAsMap().put("id", searchHit.getId());

            if (StringUtils.isNotEmpty(highlightField)) {

                System.out.println("遍历 高亮结果集，覆盖 正常结果集" + searchHit.getSourceAsMap());
                Text[] text = searchHit.getHighlightFields().get(highlightField).getFragments();

                if (text != null) {
                    for (Text str : text) {
                        stringBuffer.append(str.string());
                    }
                    //遍历 高亮结果集，覆盖 正常结果集
                    searchHit.getSourceAsMap().put(highlightField, stringBuffer.toString());
                }
            }
            sourceList.add(searchHit.getSourceAsMap());
        }
        return sourceList;
    }
}

第六步：创建controller

@RestController
@RequestMapping("/es")
public class EsController {

    /**
     * 测试索引
     */
    private String indexName = "megacorp";

    /**
     * 类型
     */
    private String esType = "employee";

    /**
     * 创建索引
     * http://127.0.0.1:8080/es/createIndex
     * @param request
     * @param response
     * @return
     */
    @RequestMapping("/createIndex")
    public String createIndex(HttpServletRequest request, HttpServletResponse response) {
        if (!ElasticsearchUtil.isIndexExist(indexName)) {
            ElasticsearchUtil.createIndex(indexName);
        } else {
            return "索引已经存在";
        }
        return "索引创建成功";
    }

    /**
     * 插入记录
     *
     * @return
     */
    @RequestMapping("/insertJson")
    public String insertJson() {
        JSONObject jsonObject = new JSONObject();
        jsonObject.put("id", DateUtil.formatDate(new Date()));
        jsonObject.put("age", 25);
        jsonObject.put("first_name", "j-" + new Random(100).nextInt());
        jsonObject.put("last_name", "cccc");
        jsonObject.put("about", "i like xiaofeng baby");
        jsonObject.put("date", new Date());
        String id = ElasticsearchUtil.addData(jsonObject, indexName, esType, jsonObject.getString("id"));
        return id;
    }

    /**
     * 插入记录
     *
     * @return
     */
    @RequestMapping("/insertModel")
    public String insertModel() {
        Employee employee = new Employee();
        employee.setId("66");
        employee.setFirstName("m-" + new Random(100).nextInt());
        employee.setAge("24");
        JSONObject jsonObject = (JSONObject) JSONObject.toJSON(employee);
        String id = ElasticsearchUtil.addData(jsonObject, indexName, esType, jsonObject.getString("id"));
        return id;
    }

    /**
     * 删除记录
     *
     * @return
     */
    @RequestMapping("/delete")
    public String delete(String id) {
        if (StringUtils.isNotBlank(id)) {
            ElasticsearchUtil.deleteDataById(indexName, esType, id);
            return "删除id=" + id;
        } else {
            return "id为空";
        }
    }

    /**
     * 更新数据
     *
     * @return
     */
    @RequestMapping("/update")
    public String update(String id) {
        if (StringUtils.isNotBlank(id)) {
            JSONObject jsonObject = new JSONObject();
            jsonObject.put("id", id);
            jsonObject.put("age", 31);
            jsonObject.put("name", "修改");
            jsonObject.put("date", new Date());
            ElasticsearchUtil.updateDataById(jsonObject, indexName, esType, id);
            return "id=" + id;
        } else {
            return "id为空";
        }
    }

    /**
     * 获取数据
     * http://127.0.0.1:8080/es/getData?id=2018-04-25%2016:33:44
     *
     * @param id
     * @return
     */
    @RequestMapping("/getData")
    public String getData(String id) {
        if (StringUtils.isNotBlank(id)) {
            Map<String, Object> map = ElasticsearchUtil.searchDataById(indexName, esType, id, null);
            return JSONObject.toJSONString(map);
        } else {
            return "id为空";
        }
    }

    /**
     * 查询数据
     * 模糊查询
     *
     * @return
     */
    @RequestMapping("/queryMatchData")
    public String queryMatchData() {
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        boolean matchPhrase = false;
        if (matchPhrase == Boolean.TRUE) {
            //不进行分词搜索
            boolQuery.must(QueryBuilders.matchPhraseQuery("first_name", "cici"));
        } else {
            boolQuery.must(QueryBuilders.matchQuery("last_name", "cici"));
        }
        List<Map<String, Object>> list = ElasticsearchUtil.
                searchListData(indexName, esType, boolQuery, 10, "first_name", null, "last_name");
        return JSONObject.toJSONString(list);
    }

    /**
     * 通配符查询数据
     * 通配符查询 ?用来匹配1个任意字符，*用来匹配零个或者多个字符
     *
     * @return
     */
    @RequestMapping("/queryWildcardData")
    public String queryWildcardData() {
        QueryBuilder queryBuilder = QueryBuilders.wildcardQuery("first_name.keyword", "cici");
        List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, queryBuilder, 10, null, null, null);
        return JSONObject.toJSONString(list);
    }

    /**
     * 正则查询
     *
     * @return
     */
    @RequestMapping("/queryRegexpData")
    public String queryRegexpData() {
        QueryBuilder queryBuilder = QueryBuilders.regexpQuery("first_name.keyword", "m--[0-9]{1,11}");
        List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, queryBuilder, 10, null, null, null);
        return JSONObject.toJSONString(list);
    }

    /**
     * 查询数字范围数据
     *
     * @return
     */
    @RequestMapping("/queryIntRangeData")
    public String queryIntRangeData() {
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        boolQuery.must(QueryBuilders.rangeQuery("age").from(24)
                .to(25));
        List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, boolQuery, 10, null, null, null);
        return JSONObject.toJSONString(list);
    }

    /**
     * 查询日期范围数据
     *
     * @return
     */
    @RequestMapping("/queryDateRangeData")
    public String queryDateRangeData() {
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        boolQuery.must(QueryBuilders.rangeQuery("age").from("20")
                .to("50"));
        List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, boolQuery, 10, null, null, null);
        return JSONObject.toJSONString(list);
    }

    /**
     * 查询分页
     *
     * @param startPage 第几条记录开始
     *                  从0开始
     *                  第1页 ：http://127.0.0.1:8080/es/queryPage?startPage=0&pageSize=2
     *                  第2页 ：http://127.0.0.1:8080/es/queryPage?startPage=2&pageSize=2
     * @param pageSize  每页大小
     * @return
     */
    @RequestMapping("/queryPage")
    public String queryPage(String startPage, String pageSize) {
        if (StringUtils.isNotBlank(startPage) && StringUtils.isNotBlank(pageSize)) {
            BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
            boolQuery.must(QueryBuilders.rangeQuery("age").from("20")
                    .to("100"));
            EsPage list = ElasticsearchUtil.searchDataPage(indexName, esType, Integer.parseInt(startPage), Integer.parseInt(pageSize), boolQuery, null, null, null);
            return JSONObject.toJSONString(list);
        } else {
            return "startPage或者pageSize缺失";
        }
    }
}

利用postman一个个请求。 截取结果如下：方法都能正常准确访问

image.png

ElasticSearch (opens new window)

参考文章

• https://www.jianshu.com/p/a584848da515