简介

脚本分2部分，1部分查找符合条件的索引名，2脚本调用1脚本，进行删除操作

脚本

查找符合条件的，默认大于30天

# coding:utf-8__author__ = 'Jipu FANG'from elasticsearch import  Elasticsearch
import re
import time
import datetimenow = time.localtime()
data1 = datetime.datetime(now[0], now[1], now[2])es=Elasticsearch("http://192.168.30.135:9200")res = es.cat.indices()l = res.strip().split()
def dindex(day=30):index = []for i in l:if re.search('\d+\.\d+\.\d+$', i):itime = time.strptime(re.findall('\d+\.\d+\.\d+$', i)[0], "%Y.%m.%d")data2 = datetime.datetime(itime[0], itime[1], itime[2])d = (data1-data2).daysif int(d) > int(day):index.append(i)return indexif __name__ == '__main__':print dindex()

对符合条件的索引，进行删除操作

# coding:utf-8__author__ = 'Jipu FANG'import requests
import json
import time
from multiprocessing.dummy import Pool as ThreadPool
import  re
import indexs'''
delect index    url:"http://192.168.30.135:9200/app-2017.05.16"  headers:'Content-Type: application/json' data:{"query": {"match_all":{}}}'
select log  curl： "http://192.168.30.135:9200/_search"  headers：'Content-Type: application/json' data：{"query": {"match": {"message": {"query": "ERROR|77" }}}'
'''# request API
class ES_API:def __init__(self, url, data, headers):self.url=urlself.data=dataself.headers=headersdef delete(self):r = requests.delete(url=self.url, data=json.dumps(self.data), headers=self.headers)v=r.textprint(v)def post(self):r = requests.post(url=self.url, data=json.dumps(self.data), headers=self.headers)v=r.textprint(v)# 删除索引，day保留多少天
def delete_index(day):for i in indexs.dindex(day):url = r"http://192.168.30.135:9200/%s" %(i)headers = {'Content-Type':'application/json'}data = {"query": {"match_all":{}}}C=ES_API(url, data, headers)C.delete()time.sleep(3)return "Delete indexs OK!"# 关闭索引，day保留多少天，当索引处于关闭状态，资源占用比较少
def close_index(day):for i in indexs.dindex(day):url = r"http://192.168.30.135:9200/%s/_close?pretty" %(i)headers = {'Content-Type':'application/json'}data = {}C=ES_API(url, data, headers)C.post()time.sleep(3)return "index status close ok!"delete_index(30)
time.sleep(60)
close_index(15)