ES聚合查询,折线图统计

ES版本
{
   
   
    "name": "node133-1",
    "cluster_name": "cluster_name",
    "cluster_uuid": "NHsCrgJ4SReF_i7uz1s9cw",
    "version": {
   
   
        "number": "6.2.1",
        "build_hash": "7299dc3",
        "build_date": "2018-02-07T19:34:26.990113Z",
        "build_snapshot": false,
        "lucene_version": "7.2.1",
        "minimum_wire_compatibility_version": "5.6.0",
        "minimum_index_compatibility_version": "5.0.0"
    },
    "tagline": "You Know, for Search"
}
需求一

查询数据时间在a-b间,且serviceId=1的数量折线图

{
   
   
  "size": 0,
  "query": {
   
   
    "bool": {
   
   
      "must": [
        {
   
   
          "range": {
   
   
            "startTime": {
   
   
              "gte": 1630857600000, 
              "lt": 1630943999000  
            }
          }
        },
        {
   
   
          "match": {
   
   
            "serviceId": "3b5a659a719d6a1353f71a20197f9c78"
          }
        }
      ]
    }
  },
  "aggs": {
   
   
    "agg_by_time": {
   
   
      "date_histogram": {
   
   
        "field": "startTime",
        "interval": "1m",
        "time_zone": "+08:00",
        "format": "yyyy-MM-dd HH:mm:ss",
        "min_doc_count": 0
      }
    }
  }
}

结果

{
   
   
    "took": 1,
    "timed_out": false,
    "_shards": {
   
   
        "total": 6,
        "successful": 6,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
   
   
        "total": 24,
        "max_score": 0.0,
        "hits": []
    },
    "aggregations": {
   
   
        "agg_by_time": {
   
   
            "buckets": [
                {
   
   
                    "key_as_string": "2021-09-06 16:45:00",
                    "key": 1630917900000,
                    "doc_count": 3
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:46:00",
                    "key": 1630917960000,
                    "doc_count": 4
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:47:00",
                    "key": 1630918020000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:48:00",
                    "key": 1630918080000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:49:00",
                    "key": 1630918140000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:50:00",
                    "key": 1630918200000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:51:00",
                    "key": 1630918260000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:52:00",
                    "key": 1630918320000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:53:00",
                    "key": 1630918380000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:54:00",
                    "key": 1630918440000,
                    "doc_count": 0
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:55:00",
                    "key": 1630918500000,
                    "doc_count": 3
                },
                {
   
   
                    "key_as_string": "2021-09-06 16:56:00",
                    "key": 1630918560000,
                    "doc_count": 3
                },
                {
   
   
         
引用中提到,在使用echarts折线图时,可以通过配置项中的data的value选项来单独设置某一个数据的显示样式。这意味着你可以为不同的数据设置不同的小圆点样式。 引用中给出了一个查询数据的时间范围以及serviceId的数量折线图的示例代码。这段代码使用Elasticsearch查询语句,通过设定startTime的范围和serviceId的匹配条件,获取在指定时间范围内符合条件的数据,并以折线图的形式展示。 引用中提到了一个symbol的设置,它是一个图片的URL,可以用于自定义折线图中的数据点的样式。你可以使用一个base64编码的图片URL来代替默认的圆点样式。 综上所述,elastic折线图是一种使用Elasticsearch和echarts库结合的方式,用于展示查询数据的变化趋势。它可以根据不同的需求进行定制,包括设置不同数据的显示样式和自定义数据点的样式。<span class="em">1</span><span class="em">2</span><span class="em">3</span> #### 引用[.reference_title] - *1* *3* [echarts 设置折线图单个数据小圆圈样式](https://blog.youkuaiyun.com/weixin_39804059/article/details/112044890)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"] - *2* [ES聚合查询折线图统计](https://blog.youkuaiyun.com/whatzhang007/article/details/120157705)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"] [ .reference_list ]
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