Druid 基础使用-操作篇（Imply ）

一、Imply

Druid 原生的配置较麻烦，在上一篇单机版安装中有所涉及
   Imply 基于Druid 进行了一些组件的开发，提供开源社区版本和商业版，简化了部署，开发了一些应用.https://imply.io/product

二、

安装

1. 下载nodejs 安装(http://jingyan.baidu.com/article/dca1fa6f48f478f1a5405272.html)
2. .安装imply
   1. 下载最新版本 imply-1.3.1.tar  https://imply.io/download
   2. tar -xzf imply-1.3.1.tar
3. 启动
    1[root@Druid imply-1.3.1]# bin/supervise -c conf/supervise/quickstart.conf  -可以nohup 后台执行

三、Imply 数据的发送
        1.修改 tranquility 组件下server.josn 中的数据相关信息 --表名称、维度列、指标列
         修改后的数据结构如下

{
    "dataSources": {
        "pageviews": {
            "spec": {
                "dataSchema": {
                    "dataSource": "pageviews",
                    "parser": {
                        "type": "string",
                        "parseSpec": {
                            "timestampSpec": {
                                "format": "auto",
                                "column": "time"
                            },
                            "dimensionsSpec": {
                                "dimensions": [
                                    "url",
                                    "user"
                                ]
                            },
                            "format": "json"
                        }
                    },
                    "granularitySpec": {
                        "type": "uniform",
                        "segmentGranularity": "hour",
                        "queryGranularity": "none"
                    },
                    "metricsSpec": [
                        {
                            "name": "views",
                            "type": "count"
                        },
                        {
                            "name": "latencyMs",
                            "type": "doubleSum",
                            "fieldName": "latencyMs"
                        }
                    ]
                },
                "ioConfig": {
                    "type": "realtime"
                },
                "tuningConfig": {
                    "type": "realtime",
                    "maxRowsInMemory": "",
                    "intermediatePersistPeriod": "PT10M",
                    "windowPeriod": "PT10M"
                }
            },
            "properties": {
                "task.partitions": "",
                "task.replicants": ""
            }
        }
    },
    "properties": {
        "zookeeper.connect": "localhost",
        "druid.discovery.curator.path": "/druid/discovery",
        "druid.selectors.indexing.serviceName": "druid/overlord",
        "http.port": "",
        "http.threads": ""
    }

2.重新启动Imply --这个地方有个疑问  如何动态的设置表的名称呢？tranquility 重启 原因在于重启的时候指定了server.json 这个配置文件?

3.在linnux系统中进行数据的发送
                curl -XPOST -H'Content-Type: application/json' --data-binary @../003.jsonhttp://*。*。*。*:8200/v1/post/pageviews  --pageviews 必须提前声明，否则回提示数据源未定义 ，如何动态增加呢

003.josn 数据源的数据，一定要注意time 数据，一是时间最好是当前时间，否则tranquility 仅能收到数据，不会想Druid进行数据的发送，比如  receive 3 send 0

如果一切正常，将会受到 received 3 send 3

4.c# 代码进行json数据的发送 --post json

 /// <summary>
         /// 插入数据,基于服务端已经有的一个表pageviews
         /// </summary>
         [TestMethod]
         public void InsertData()
         {
             string url = "http://*.*.*.*:8200/v1/post/pageviews"; //发送数据
             string data = PostHttp(url, GetData());
             DruiExecuteResult result = JsonConvert.DeserializeObject<DruiExecuteResult>(data);

             Assert.IsTrue(result.result.received == "");
             Assert.IsTrue(result.result.received == "");
         }
          public string GetData()
         {
             StringBuilder sb = new StringBuilder();
             string temp = string.Empty;
             string ISO8601time = string.Empty;
             for (int i = ; i < ; i++)
             {
                 ISO8601time = DateTime.Now.ToString("yyyy-MM-ddTHH:mm:sszzzz", DateTimeFormatInfo.InvariantInfo);
                 temp = "{\"time\":\"" + ISO8601time + "\",\"url\":\"test" + i.ToString() + "\",\"user\":\"hello" + i.ToString() + "\",\"latencyMs\":" + i.ToString() + "}";
                 sb.AppendLine(temp);
             }

             string result = sb.ToString();

             return result;
         }
           private static string PostHttp(string url, string body)
         {
             HttpWebRequest httpWebRequest = (HttpWebRequest)WebRequest.Create(url);
             httpWebRequest.ContentType = "application/x-www-form-urlencoded;charset=UTF-8";
             httpWebRequest.ContentType = "application/json";
             //httpWebRequest.ContentType = "text/plain";

             httpWebRequest.Method = "POST";
             httpWebRequest.Timeout = ;
             httpWebRequest.KeepAlive = false;
             byte[] btBodys = Encoding.UTF8.GetBytes(body);
             httpWebRequest.ContentLength = btBodys.Length;
             string responseContent = string.Empty;
             HttpWebResponse httpWebResponse = null;
             StreamReader streamReader = null;
             try
             {
                 httpWebRequest.GetRequestStream().Write(btBodys, , btBodys.Length);
                 httpWebResponse = (HttpWebResponse)httpWebRequest.GetResponse();
                 streamReader = new StreamReader(httpWebResponse.GetResponseStream());
                 responseContent = streamReader.ReadToEnd();
             }
             catch (Exception er)
             {
                 throw new Exception("执行出现异常:" + "数据:" + body, er);
             }
             finally
             {
                 if (httpWebResponse != null)
                 {
                     httpWebResponse.Close();
                 }
                 if (streamReader != null)
                 {
                     streamReader.Close();
                 }
                 httpWebRequest.Abort();
             }

             return responseContent;
         }