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  • ElasticSearch : High Rest Api 使用

    pom文件:

    <dependency>
            <groupId>org.elasticsearch.client</groupId>
            <artifactId>elasticsearch-rest-high-level-client</artifactId>
            <version>7.2.0</version>
    </dependency>

    创建client(client可以关闭, 建议在停止应用前调用close() 方法):

    RestHighLevelClient client = new RestHighLevelClient(
                    RestClient.builder(new HttpHost("10.8.3.55", 9200, "http")));
    // 1. 检测索引是否存在(所有和索引有关的操作全部推荐用org.elasticsearch.client.indices包下的类)
            GetIndexRequest request = new GetIndexRequest("twitter");
            boolean exists = client.indices().exists(request, RequestOptions.DEFAULT);
            System.out.println(exists);
    // 2. 创建索引
            CreateIndexRequest request = new CreateIndexRequest("twitter");
            request.settings(Settings.builder()
                    .put("index.number_of_shards", 1)
                    .put("index.number_of_replicas", 1)
            );
    
            // 第一种
            request.mapping("{"properties":{"msg":{"type":"text"}}}", XContentType.JSON);
    
            // 第二种
            Map<String, Object> properties = new HashMap<>();// properties
    
            Map<String, Object> message = new HashMap<>();
            message.put("type", "text");
            properties.put("message", message);// 添加映射
            Map<String, Object> username = new HashMap<>();
            username.put("type", "keyword");
            properties.put("username", username);// 添加映射
    
            Map<String, Object> mapping = new HashMap<>();
            mapping.put("properties", properties);
            request.mapping(mapping);
    
            CreateIndexResponse createIndexResponse = client.indices().create(request, RequestOptions.DEFAULT);
            System.out.println(createIndexResponse.index());
    // 3. 增加文档(如果类注释推荐使用org.elasticsearch.client.Requests来创建类,最好用他推荐的方式)
            IndexRequest request = Requests.indexRequest("twitter");
            request.id("1");// 指定ID
            request.source("message", "消息内容...abc",
                    "username", "jack 杰克");// 支持多种方式
            IndexResponse indexResponse = client.index(request, RequestOptions.DEFAULT);
            System.out.println(indexResponse);
    // 4. 修改文档
            UpdateRequest request = new UpdateRequest("twitter", "1");
            request.doc("message", "修改之后的消息内容...abc",
                    "username", "修改之后的jack 杰克");// 支持多种方式
            UpdateResponse response = client.update(request, RequestOptions.DEFAULT);
            System.out.println(response);
    // 5. Bulk
            BulkRequest request = new BulkRequest();
            request.add(new DeleteRequest("twitter", "1"));
            request.add(new UpdateRequest("twitter", "2")
                    .doc(XContentType.JSON,"username", "jack==="));
            request.add(new IndexRequest("twitter").id("3")
                    .source(XContentType.JSON,"username", "jack222"));
    
            BulkResponse response = client.bulk(request, RequestOptions.DEFAULT);
            System.out.println(response.hasFailures());
    // 6. 根据ID获取文档
            GetRequest request = Requests.getRequest("twitter").id("2");
            GetResponse response = client.get(request, RequestOptions.DEFAULT);
            System.out.println(response.getSourceAsString());
            // 7. Search
            SearchRequest request = new SearchRequest("twitter");
            SearchSourceBuilder builder = new SearchSourceBuilder();
            builder.query(QueryBuilders.matchAllQuery());
    request.source(builder); SearchResponse response
    = client.search(request, RequestOptions.DEFAULT); Iterator<SearchHit> hits = response.getHits().iterator(); ObjectMapper mapper = new ObjectMapper(); List<Person> personList = new ArrayList<>(); while (hits.hasNext()) { personList.add(mapper.readValue(hits.next().getSourceAsString(), Person.class)); } System.out.println(personList);

    查询聚合DSL语句构建使用 SearchSourceBuilder:

    //   样例 伪代码:

    //
    SearchSourceBuilder builder = new SearchSourceBuilder(); // String[] include = {"timeStamp", // "msgBody.boxList.boxStatus.boxCurrent", // "msgBody.boxList.batInfo.batSN", // "msgBody.boxList.batStatus.batCurrent", // "msgBody.boxList.batStatus.batVoltage", // "msgBody.boxList.batStatus.batRSOC"}; // builder.query(QueryBuilders.boolQuery() //// .filter(QueryBuilders.termQuery("msgBody.boxList.batInfo.batSN", "BAA2118122200104")) // .filter(QueryBuilders.rangeQuery("timeStamp").gte(1557729000).lte(1557741600))) // .sort("timeStamp", SortOrder.ASC) // .from(0) // .size(100).fetchSource(include, null); //// builder.aggregation(AggregationBuilders.terms("data_count").field("deviceInfo.deviceSN")).size(0);

    High Rest client使用参考 https://www.elastic.co/guide/en/elasticsearch/client/java-rest/current/java-rest-high.html

    聚合结果分析参考: https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/_bucket_aggregations.html

    获取聚合必须要指定相关的类 如 Terms:

    Terms data = response.getAggregations().get("data_count");
            System.out.println(data.getBuckets().get(0).getKey());
            System.out.println(data.getBuckets().get(0).getDocCount());
            System.out.println(response.toString());
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  • 原文地址:https://www.cnblogs.com/cccy0/p/11165650.html
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