open-falcon 使用 python 监控发布中未分发的命令数

性能计数器监控参考 ：SqlServer 监控发布中未分发的命令数

但 open-falcon 不能监控 windows 性能计数器，因此只能自定义监控推送监控信息。open-falcon 使用 python 可以推送数据，因此需安装python（脚本使用python2.7）。

自定义push数据到open-falcon 参考：自定义push数据到open-falcon

#coding=gbk#python2.7.13import requestsimport timeimport jsonimport pymssql# 推送默认参数# https://book.open-falcon.org/zh/usage/data-push.htmlendpoint = "KK-PC"metric = "repl."timestamp = int(time.time())step = 300value = 0counterType = "GAUGE"tags = "db="# 存储过程参数声明（保存到json中），用于执行sp_replmonitorsubscriptionpendingcmds"""EXEC distribution.sys.sp_replmonitorsubscriptionpendingcmds  @publisher = N'publisher',@publisher_db = N'publisher_db',@publication = N'publication_name',@subscriber = N'subscriber',@subscriber_db = N'subscriber_db',@subscription_type =0"""publicationlist = [    {        "publisher": "KK-PC",        "publisherdb": "DB01",        "publication": "repl_test_DB01",        "subscriber": "AA-PC",        "subscriberdb": "DB01",    },    {        "publisher": "KK-PC",        "publisherdb": "DB02",        "publication": "repl_test_DB02",        "subscriber": "AA-PC",        "subscriberdb": "DB02",    },    {        "publisher": "KK-PC",        "publisherdb": "DB03",        "publication": "repl_test_DB03",        "subscriber": "AA-PC",        "subscriberdb": "DB03",    },    {        "publisher": "KK-PC",        "publisherdb": "DB04",        "publication": "repl_test_DB04",        "subscriber": "AA-PC",        "subscriberdb": "DB04",    },]def main():    #连接数据库执行存储过程    #dbdate 保存存储过程结果；pbdate 保存名称    dbdate = []    pbdate = []    conn=pymssql.connect(host='.',database='distribution')    cur=conn.cursor()    for i in publicationlist:         sql = """        EXEC distribution.sys.sp_replmonitorsubscriptionpendingcmds         @publisher = N'"""+i["publisher"]+"""'        ,@publisher_db = N'"""+i["publisherdb"]+"""'        ,@publication = N'"""+i["publication"]+"""'        ,@subscriber = N'"""+i["subscriber"]+"""'        ,@subscriber_db = N'"""+i["subscriberdb"]+"""'        ,@subscription_type =0"""        cur.execute(sql)        dbdate.append(cur.fetchall())        pbdate.append(i["publisher"]+"."+i["publisherdb"])    cur.close()    conn.close()    #配置推送的json格式，都添加到 payload 中    payload = []    data = {"endpoint":endpoint,"metric":metric,"timestamp":timestamp,"step":step,"value":value,"counterType":counterType,"tags":tags}    for item,repl in zip(dbdate,pbdate):        data = data.copy()         data["endpoint"] = endpoint        data["metric"] = metric + "pendingcmdcount"        data["timestamp"] = timestamp        data["step"] = step        data["value"] = item[0][0]        data["counterType"] = counterType        data["tags"] = tags + repl        payload.append(data)        data = data.copy()         data["endpoint"] = endpoint        data["metric"] = metric + "estimatedPRocesstime"        data["timestamp"] = timestamp        data["step"] = step        data["value"] = item[0][1]        data["counterType"] = counterType        data["tags"] = tags + repl        payload.append(data)    r = requests.post("http://127.0.0.1:1988/v1/push", data=json.dumps(payload))    print r.textif __name__ == "__main__":    main()创建定时任务，每个5分钟执行一次。