string
字符串类型，es中最常用的类型，官方文档比较重要的参数：index分析
analyzed(默认)
not_analyzed
no
store存储
true 独立存储
false（默认）不存储，从_source中解析
Numeric
数值类型，注意numeric并不是一个类型，它包括多种类型，比如：long,integer,short,byte,double,float，每种的存储空间都是不一样的，一般默认推荐integer和float。官方文档参考重要的参数：index分析
not_analyzed(默认) ，设置为该值可以保证该字段能通过检索查询到
no
store存储
true 独立存储
false（默认）不存储，从_source中解析
date
日期类型，该类型可以接受一些常见的日期表达方式，官方文档参考。重要的参数：index分析
not_analyzed(默认) ，设置为该值可以保证该字段能通过检索查询到
no
store存储
true 独立存储
false（默认）不存储，从_source中解析
format格式化
strict_date_optional_time||epoch_millis（默认）
你也可以自定义格式化内容，比如
"date": {"type":   "date","format": "yyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
}
更多的时间表达式可以参考这里
IP
这个类型可以用来标识IPV4的地址，参考官方文档常用参数：index分析
not_analyzed(默认) ，设置为该值可以保证该字段能通过检索查询到
no
store存储
true 独立存储
false（默认）不存储，从_source中解析
boolean
布尔类型，所有的类型都可以标识布尔类型，参考官方文档False: 表示该值的有:false, "false", "off", "no", "0", "" (empty string), 0, 0.0
True: 所有非False的都是true
重要的参数：index分析
not_analyzed(默认) ，设置为该值可以保证该字段能通过检索查询到
no
store存储
true 独立存储
false（默认）不存储，从_source中解析

    #格式化日期字符串def formatDate(self,timestr):timeStruct = time.strptime(timestr, "%Y-%m-%d %H:%M:%S.%f")strTime = time.strftime("%Y-%m-%d %H:%M:%S", timeStruct)return strTimeimport time
t = "2017-11-24 17:30:00"
#将其转换为时间数组
timeStruct = time.strptime(t, "%Y-%m-%d %H:%M:%S")
#转换为时间戳:
timeStamp = int(time.mktime(timeStruct))
print(timeStamp)

#!/usr/bin/env python
# -*- coding: utf-8 -*-from elasticsearch import Elasticsearch
import time,datetime####动态修改配置项目############
es = Elasticsearch("http://127.0.0.1:9200")
appname="dzgzpt-wsys"
userChoiceTime_start="2019-04-05 09:27:27.820"
userChoiceTime_end="2019-06-27 09:27:41.986"#东八区时间
nowtime=datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3]#计算15分钟前的时间
fifteenminAgo=(datetime.datetime.now()+datetime.timedelta(minutes=-15)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]#计算1个小时前的时间
hourAgo=(datetime.datetime.now()+datetime.timedelta(hours=-1)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]#计算1天前的时间
dayAgo=(datetime.datetime.now()+datetime.timedelta(days=-1)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]def strtime_to_datetime(timestr):"""将字符串格式的时间 (含毫秒) 转为 datetime 格式:param timestr: {str}'2016-02-25 20:21:04.242':return: {datetime}2016-02-25 20:21:04.242000"""local_datetime = datetime.datetime.strptime(timestr, "%Y-%m-%d %H:%M:%S.%f")return local_datetimedef datetime_to_timestamp(datetime_obj):"""将本地(local) datetime 格式的时间 (含毫秒) 转为毫秒时间戳:param datetime_obj: {datetime}2016-02-25 20:21:04.242000:return: 13 位的毫秒时间戳  1456402864242"""local_timestamp = int(time.mktime(datetime_obj.timetuple()) * 1000.0 + datetime_obj.microsecond / 1000.0)return local_timestampdef strtime_to_timestamp(local_timestr):"""将本地时间 (字符串格式，含毫秒) 转为 13 位整数的毫秒时间戳:param local_timestr: {str}'2016-02-25 20:21:04.242':return: 1456402864242"""local_datetime = strtime_to_datetime(local_timestr)timestamp = datetime_to_timestamp(local_datetime)return timestampdef set_interval(startTime,endTime):d1 = datetime.datetime.strptime(startTime, "%Y-%m-%d %H:%M:%S.%f")d2 = datetime.datetime.strptime(endTime, "%Y-%m-%d %H:%M:%S.%f")n_days = d2 - d1days = n_days.daysyear = days // 365month = days % 365 // 30seconds = n_days.secondsmins = seconds // 60hours = mins // 60if year >=1:return "1M"elif month == 1:return "12h"elif month > 1:return "1d"elif days == 1:return "30m"elif days >=2 and days <=4:return "1h"elif days >= 5 and days <=12:return "3h"elif days >=13 and days <= 30:return "12h"elif hours == 1 or hours ==2:return "1m"elif hours >=3 and hours<5:return "3m"elif hours >=5 and hours<10:return "5m"elif hours >=10 and hours<=60:return "10m"elif mins>=1 and mins<=30:return "30s"elif mins>30 and mins <=60:return "1m"def search_qps(startTime,endTime):interval=set_interval(startTime,endTime)print("interval设置为 %s" %(interval))print("开始qps时间%s" %(startTime))print("结束qps时间%s " %(endTime))body={"size": 0,"query": {"filtered": {"query": {"query_string": {"analyze_wildcard": True,"query": "appname:"+appname}},"filter": {"bool": {"must": [{"range": {"@timestamp": {"gte": strtime_to_timestamp(startTime),"lte": strtime_to_timestamp(endTime)}}}]}}}},"aggs": {"res": {"date_histogram": {"field": "@timestamp","interval": "%s" %(interval),"time_zone": "Asia/Shanghai","min_doc_count": 0,"extended_bounds": {"min": strtime_to_timestamp(startTime),"max": strtime_to_timestamp(endTime)}}}}}res=es.search(body=body)print(res)print("查询到qps总条数: %s" %(len(res["aggregations"]["res"]["buckets"])))def search_wastetime(startTime,endTime):print("开始延迟时间%s" % (startTime))print("结束延迟时间%s " % (endTime))body = {"size": 0,"query": {"filtered": {"query": {"query_string": {"analyze_wildcard": True,"query": "appname:" + appname}},"filter": {"bool": {"must": [{"range": {"@timestamp": {"gte": strtime_to_timestamp(startTime),"lte": strtime_to_timestamp(endTime)}}}]}}}},"aggs": {"avg_wastetime": {"avg": {"field": "waste_time"}}}}res=es.search(body=body)print(res)def search_abnormal(startTime,endTime):print("开始异常统计时间%s" % (startTime))print("结束异常统计时间%s " % (endTime))body = {"size": 0,"query": {"filtered": {"query": {"query_string": {"analyze_wildcard": True,"query": "appname:" + appname}},"filter": {"bool": {"must": [{"range": {"@timestamp": {"gte": strtime_to_timestamp(startTime),"lte": strtime_to_timestamp(endTime)}}}]}}}},"aggs": {"res": {"terms": {"field": "success"}}}}res=es.search(body=body)reslist=res["aggregations"]["res"]["buckets"]for re in reslist:if re["key"] == "false":print("统计到的异常数 %s" %(re["doc_count"]))print("---------------------15分钟内的qps总数-------------------")
search_qps(fifteenminAgo,nowtime)
print("-------------------用户设置时间段的qps总数------------------------")
search_qps(userChoiceTime_start,userChoiceTime_end)
print("*******************************************************************")
print("---------------------15分钟内的延迟平均值-------------------")
search_wastetime(fifteenminAgo,nowtime)
print("-------------------用户设置时间段的延迟平均值------------------------")
search_wastetime(userChoiceTime_start,userChoiceTime_end)
print("*******************************************************************")
print("---------------------15分钟内的异常数-------------------")
search_abnormal(fifteenminAgo,nowtime)
print("-------------------用户设置时间段的异常数------------------------")
search_abnormal(userChoiceTime_start,userChoiceTime_end)

def search_test():body={"query" : {"constant_score" : {"filter" : {"range" : {"@timestamp":{"gt": "now-3m"}}}}}}res=es.search(body=body)print(res)import time, datetime
def timeToZtime(time):myTime = datetime.datetime.strptime(time, "%Y-%m-%d %H:%M:%S")return myTime.strftime("%Y-%m-%dT%H:%M:%S.%fZ")def search_test2():body={"query" : {"constant_score" : {"filter" : {"range" : {"@timestamp":{"gt": timeToZtime("2019-01-13 12:10:30"),"lt": timeToZtime("2019-01-13 12:10:30")+"||+1M"}}}}}}res=es.search(body=body)print(res)search_test2()

import time, datetimedef strtime_to_datetime(timestr):"""将字符串格式的时间 (含毫秒) 转为 datetime 格式:param timestr: {str}'2016-02-25 20:21:04.242':return: {datetime}2016-02-25 20:21:04.242000"""local_datetime = datetime.datetime.strptime(timestr, "%Y-%m-%d %H:%M:%S.%f")return local_datetimedef datetime_to_timestamp(datetime_obj):"""将本地(local) datetime 格式的时间 (含毫秒) 转为毫秒时间戳:param datetime_obj: {datetime}2016-02-25 20:21:04.242000:return: 13 位的毫秒时间戳  1456402864242"""local_timestamp = int(time.mktime(datetime_obj.timetuple()) * 1000.0 + datetime_obj.microsecond / 1000.0)return local_timestampdef strtime_to_timestamp(local_timestr):"""将本地时间 (字符串格式，含毫秒) 转为 13 位整数的毫秒时间戳:param local_timestr: {str}'2016-02-25 20:21:04.242':return: 1456402864242"""local_datetime = strtime_to_datetime(local_timestr)timestamp = datetime_to_timestamp(local_datetime)return timestamp#调用api处理时间
def search_qps_avg():body2={"size": 0,"query": {"filtered": {"query": {"query_string": {"analyze_wildcard": True,"query": "appname:dzgzpt-wsys"}},"filter": {"bool": {"must": [{"range": {"@timestamp": {"gte": strtime_to_timestamp("2019-04-05 09:27:27.820"),"lte": strtime_to_timestamp("2019-04-18 09:34:41.986")}}}]}}}},"aggs": {"2": {"date_histogram": {"field": "@timestamp","interval": "12h","time_zone": "Asia/Shanghai","min_doc_count": 1,"extended_bounds": {"min": strtime_to_timestamp("2019-04-05 09:27:27.820"),"max": strtime_to_timestamp("2019-04-18 09:34:41.986")}}}}}body1 = {"size": 0,"query": {"filtered": {"query": {"query_string": {"analyze_wildcard": 'true',"query": "appname:dzgzpt-wsys"}},"filter": {"bool": {"must": [{"range": {"@timestamp": {"gte": 1554427647820,"lte": 1555551281986,"format": "epoch_millis"}}}],"must_not": []}}}},"aggs": {"2": {"date_histogram": {"field": "@timestamp","interval": "12h","time_zone": "Asia/Shanghai","min_doc_count": 1,"extended_bounds": {"min": 1554427647820,"max": 1555551281986}}}}
}res=es.search(body=body2)print(res)search_qps_avg()

#unix的utc标准时间
print(datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3])
#东八区时间
print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3])
#计算15分钟后的时间
print((datetime.datetime.now()+datetime.timedelta(minutes=15)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3])
#计算15分钟前的时间
print((datetime.datetime.now()+datetime.timedelta(minutes=-15)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3])
#计算一天后的时间
print((datetime.datetime.now()+datetime.timedelta(days=1)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3])
#计算1个小时后的时间
print((datetime.datetime.now()+datetime.timedelta(hours=1)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3])2019-06-04 05:37:41.564
2019-06-04 13:37:41.564
2019-06-04 13:52:41.564
2019-06-04 13:22:41.564
2019-06-05 13:37:41.564
2019-06-04 14:37:41.564

import datetime
d1 = datetime.datetime.strptime("2019-06-27 09:27:27.820", "%Y-%m-%d %H:%M:%S.%f")
d2 = datetime.datetime.strptime("2021-07-29 15:43:41.986", "%Y-%m-%d %H:%M:%S.%f")
n_days = d2 - d1print("------------计算时分秒-----------------")
seconds = n_days.seconds
print("相差秒数: %s" %(seconds))mins = seconds // 60
print("相差分钟数: %s" %(mins))hours = mins // 60
print("相差小时数: %s" %(hours))print("-------------计算年月日---------------------")
days=n_days.days
print("相差天数: %s" %(days))month= days%365//30
print("相差月数: %s" %(month))year = days // 365
print("相差年数: %s" %(year))