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 datetime
now = 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).days
if int(d) > int(day):
index.append(i)
return index
if __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=url
self.data=data
self.headers=headers
def delete(self):
r = requests.delete(url=self.url, data=json.dumps(self.data), headers=self.headers)
v=r.text
print(v)
def post(self):
r = requests.post(url=self.url, data=json.dumps(self.data), headers=self.headers)
v=r.text
print(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)