Elasticsearch 2.3 （ELK）Geo_point绘图、日志Date时间获取实例

前言：本文源于天天是雾霾新闻，我想利用kibana画一下一线城市雾霾图，希望对想利用经纬度在kibana绘图和获取日志本身时间绘图的同学有所帮助。有什么疑问或者纠错，可以给我发邮件

一、数据准备

为了方便起见，我模拟臆造了json格式的数据

{"timestamp":"2017-01-13T13:13:32.2516955+08:00","deviceId":"myFirstDevice","windSpeed":17,"haze":284,"city":"Beijing","lat":33.9402,"lon":116.40739}

模拟数据我用的是c#，大概如下：

 static void SendingRandomMessages()
        {
            //var eventHubClient = EventHubClient.CreateFromConnectionString(connectionString, eventHubName);
            int len = 4;
            string[] citys = { "Beijing", "Shangjhai", "Guangzhou", "Shenzhen" };
            int[] avgWindSpeed = { 10, 16, 5, 7 };
            int[] avgWindSpeed1 = { 10, 16, 5, 7 };
            int[] avgHaze1 = { 200, 100, 50, 49 };
            int[] avgHaze = { 200, 100, 50, 49 };
            double[] latitude = { 39.3402, 31.23042, 23.13369, 22.54310 };
            double[] longitude = { 116.40739, 121.47370, 113.28880, 114.057860 };
            Random rand = new Random();
            while (true)
            {
                try
                {
                    for (int i = 0; i < len; i++)
                    {
                        avgWindSpeed[i] = avgWindSpeed1[i] + rand.Next(1, 11);
                        avgHaze[i] = avgHaze1[i] + rand.Next(10, 100);
                        var telemetryDataPoint = new
                        {
                            timestamp = DateTime.Now,
                            deviceId = "myFirstDevice",
                            windSpeed = avgWindSpeed[i],
                            haze = avgHaze[i],
                            city = citys[i],
                            lat = latitude[i],
                            lon = longitude[i]
                        };
                        var message = JsonConvert.SerializeObject(telemetryDataPoint);
                        //eventHubClient.Send(new EventData(Encoding.UTF8.GetBytes(message)));
                        Console.WriteLine("{0} > Get message: {1}", "eventHubName", message);
                    }
                }
                catch (Exception exception)
                {
                    Console.ForegroundColor = ConsoleColor.Red;
                    Console.WriteLine("{0} > Exception: {1}", DateTime.Now, exception.Message);
                    Console.ResetColor();
                }                Thread.Sleep(200);
            }
        }

此处我是作为消息发到一个eventhub中，你正确的做法可以将json写到文本文件中，再通过logstash读取即可

我的目的有两个：

获取数据中的lat、lon经纬度数据在kibana Map中进行绘图
获取数据中的timestamp作为我在kibana中的搜索时间，默认情况下是@timestamp

二、解决问题的整体思路

lat、lon本质上是float类型，此处需要设计一个mapping
日志内的时间，本质上应该是个字符串。我们得先卡出这个字段，然后用date match进行转换

三、解决实例

1. mapping的设计，我给出一个template

{
  "template": "geo-*",
  "settings": {
    "index.refresh_interval": "5s"
  },
  "mappings": {
    "_default_": {
      "_all": {"enabled": true, "omit_norms": true},
      "dynamic_templates": [ {
        "message_field": {
          "match": "message",
          "match_mapping_type": "string",
          "mapping": {
            "type": "string", "index": "analyzed", "omit_norms": true
          }
        }
      }, {
        "string_fields": {
          "match": "*",
          "match_mapping_type": "string",
          "mapping": {
            "type": "string", "index": "analyzed", "omit_norms": true,
            "fields": {
              "raw": {"type": "string", "index": "not_analyzed", "ignore_above": 256}
            }
          }
        }
      } ],
      "properties": {
        "@version": { "type": "string", "index": "not_analyzed" },
        "lonlat": { "type": "geo_point" }
      }
    }
  }
}

大概解释如下：

"template": "geo-*"，所有geo开头的索引，都将会套用这个template配置
"lonlat": { "type": "geo_point" } 这个定义了lonlat为geo_point类型，为以后Map绘制奠定基础，这个是关键。

NOTE: 这个lonlat名字不能取成特定的关键名字？，我取成location一直报错。

更加详细的介绍你可以查看官网文档

2. 给出logstash的配置文件

input {
    file {
        path => "/opt/logstash/1.log"
        start_position => "beginning"
        sincedb_path => "/dev/null"
    }
}
filter {
  json {
    source => "message"
  }
  mutate {
   add_field => [ "[lonlat]", "%{lon}" ]
   add_field => [ "[lonlat]", "%{lat}" ]
 }
  date{
    match=>["timestamp","ISO8601"]
         timezone => "Asia/Shanghai"
         "target" => "logdate" }
}
output {
  stdout { codec => rubydebug }
  elasticsearch
        {
           hosts =>"wb-elk"
           index =>  "geo-%{+YYYY.MM.dd}"
#          template => "/opt/logstash/monster.json"
#          template_overwrite => true
        }
}