一、目标场景

  1. 机房机柜的物联网设备上传环境数据，会存储到ES
  2. 存到ES的温湿度数据需要查询，进行分组后，再聚合统计求平均值

二、使用步骤

1.引入库

我这里因为ES服务已经升级到8.0.0了，然后ES数据查询分组，我这里需要对时间进行格式化，再聚合avg，所以客户端相关版本用的7.17.4

<dependency>
	<groupId>org.elasticsearch.client</groupId>
	<artifactId>elasticsearch-rest-client</artifactId>
	<version>7.17.4</version>
	<exclusions>
		<exclusion>
			<groupId>org.elasticsearch</groupId>
			<artifactId>elasticsearch</artifactId>
		</exclusion>
	</exclusions>
</dependency>
<dependency>
	<groupId>org.elasticsearch.client</groupId>
	<artifactId>elasticsearch-rest-high-level-client</artifactId>
	<version>7.17.4</version>
	<exclusions>
		<exclusion>
			<groupId>org.elasticsearch</groupId>
			<artifactId>elasticsearch</artifactId>
		</exclusion>
	</exclusions>
</dependency>

<dependency>
	<groupId>org.elasticsearch</groupId>
	<artifactId>elasticsearch</artifactId>
	<version>7.17.4</version>
</dependency>

2.配置类

目前我们就是单服务的，这个配置类够用了。其实我配置类就是要把RestHighLevelClient注入，并交给spring管理。

/\*\*
 \* ES配置类
 \* @author zwmac
 \*/
@Configuration
@Data
public class ElasticSearchConfig {

    @Value("${es.host}")
    private String host;
    @Value("${es.port}")
    private int port;
    @Value("${es.username}")
    private String loginName;
    @Value("${es.password}")
    private String password;
    private RestHighLevelClient client;

    @Bean
    public RestHighLevelClient client() {
        final CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
        credentialsProvider.setCredentials(AuthScope.ANY,
                new UsernamePasswordCredentials(loginName, password));
        HttpHost[] httpHostArray = new HttpHost[1];
        httpHostArray[0] = new HttpHost(host, port);
        RestClientBuilder restClientBuilder = RestClient.builder(httpHostArray)
                .setHttpClientConfigCallback(httpClientBuilder -> {
                    httpClientBuilder.disableAuthCaching();
                    return httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider);
                });
        restClientBuilder.setRequestConfigCallback(requestConfigBuilder -> requestConfigBuilder
                .setConnectTimeout(60000)
                .setSocketTimeout(150000));
        client = new RestHighLevelClient(
                restClientBuilder
        );
        return client;
    }
}

3.使用

@Resource
    private RestHighLevelClient restHighLevelClient;

/\*\*
 \* 查询温湿度24小时平均值
 \* @param deviceCode 设备编码
 \* @param startTime 开始时间
 \* @param endTime 结束时间
 \* @param humName 湿度字段名
 \* @param tempName 温度字段名
 \* @return 温湿度24小时平均值
 \*/
    private TreeMap<String, Map<String, Double>> queryTempHumDayAvg(String deviceCode, Date startTime, Date endTime, String humName, String tempName) {
        TreeMap<String, Map<String, Double>> treeMap = new TreeMap<>();
        //ES查询
        String index = EsCalendar.getDeviceFlowIndex(startTime, endTime);
        SearchRequest searchRequest = new SearchRequest(index);
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        //忽略不可用索引，允许索引不不存在，通配符表达式将扩展为打开的索引
        searchRequest.indicesOptions(IndicesOptions.fromOptions(true, true, true, false));

        String timeFmt = "yyyy-MM-dd";

        // 组装ES请求数据
        String startTimeStr = DateUtil.format(startTime, DatePattern.NORM\_DATETIME\_PATTERN);
        String endTimeStr = DateUtil.format(endTime, DatePattern.NORM\_DATETIME\_PATTERN);
        QueryBuilder rangeQuery = QueryBuilders.rangeQuery("createTime").lte(endTimeStr).gte(startTimeStr);

        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        // 必须为deviceCode
        boolQueryBuilder.must(QueryBuilders.termQuery("deviceCode", deviceCode));
        rangeQuery = QueryBuilders.boolQuery().must(rangeQuery).must(boolQueryBuilder);
        QueryBuilder boolQuery = QueryBuilders.boolQuery().must(rangeQuery);

        searchSourceBuilder.query(boolQuery).size(0);


        //平均值 温度
        //String tempName = "temp\_avg";
        String tempAvgName = tempName + "\_avg";
        String tempFactorName = "data." + tempName;
        AvgAggregationBuilder tempAvgAggregationBuilder = AggregationBuilders.avg(tempAvgName).field(tempFactorName);

        //平均值 湿度
        //String humName = "hygrometer\_avg";
        String humAvgName = humName + "\_avg";
        String humFactorName = "data." + humName;
        AvgAggregationBuilder humAvgAggregationBuilder = AggregationBuilders.avg(humAvgName).field(humFactorName);


        String createTimeGroup = "createTimeGroup";
        DateHistogramAggregationBuilder aggregation = AggregationBuilders.dateHistogram(createTimeGroup)
                .field("createTime").fixedInterval(DateHistogramInterval.DAY)
                .format(timeFmt)
                //过滤掉count为0的数据
                .minDocCount(1).subAggregation(tempAvgAggregationBuilder).subAggregation(humAvgAggregationBuilder);



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