大家好，又见面了，我是你们的朋友全栈君。
今天同事负责的es集群发生了脑裂，具体原因还有待查看日志。 顺便分享一套zabbix监控es集群的脚本。
生产改进与建议：
- 所有监控统一status值，比如0是ok的，1是警告，2是error
- 因为es集群会自己维护整个集群的元数据，因此数据收集不是按节点来的而是整个集群
- 现在的配置是从salt的pillar中获取端口（或者说集群名）然后渲染下面的脚本，然后再自动发现集群下面的节点。建议集群也使用脚本自动检查，特别是一个主机上有多个属于不同集群的es节点时。
- es内部gc的平均时间没有计算出来，后期可以加
- 最后还是脚本中要收集的数据还是用字符串的 ，也在此收集更高效的处理方法
架构方面：
- 初步估计es集群脑裂不外乎两个原因
- 网络原因，适当调整es集群内节点发现超时时间
- master节点和data节点混在一起，当data节点由于业务原因hang住时，可能会导致集群将此节点剔除，引起es集群重新选举。
- 解决：
- master节点和data节点分离，使用3个master节点，其余做data节点，master节点的jvm配置可以配置小一点。es集群的监控放在master节点上。
#!/usr/bin/env python
#coding:utf-8
from __future__ import division #必须在第一行
import json,requests,sys,os
import pickle
#在os.popen中执行的时候b要加一层
#如果没有指定ip，就使用默认的，用系统命令抓取本地ip地址：
cmd = "ip addr|grep '\binet\b'|grep -E 'bond0|eth0'|awk '{print $2}'|awk -F'/' '{print $1}'"
local_ip = os.popen(cmd).read().strip()
#设置一个默认端口9200,这个后期使用自动发现比较好
local_port = 9200
def discovery(local_ip,local_port):
r = {
}
r['data'] = []
res = requests.get("http://{0}:{1}/_cat/nodes?v&h=name".format(local_ip,local_port))
if res.status_code == 200:
ret = res.text.splitlines()
for i in range(1,len(ret)):
r['data'].append({
'{#NODE}':ret[i]})
return json.dumps(r)
def send(local_ip,local_port):
r_str = ""
zbx_sender_cmd = "{0} -c {1} -i {2}"
zbx_conf = "/usr/local/services/zabbix-3.0.0/etc/zabbix_agentd.conf"
zbx_sender_file = "/tmp/.zbx_elastic_sender.txt"
zbx_sender = "/usr/local/services/zabbix-3.0.0/bin/zabbix_sender"
last_file = "/usr/local/services/zabbix-3.0.0/etc/.zbx_elstic_last_data.txt"
#需要pickle保存到文件中的字典
this_data = {
}
#导入历史数据
if os.path.exists(last_file):
with open(last_file,"r") as f1:
last_data = pickle.load(f1)
else:
os.popen("touch /usr/local/services/zabbix-3.0.0/etc/.zbx_elstic_last_data.txt")
last_data = {
}
#print(last_data)
# 获取node信息的url
url_node = "http://{0}:{1}/_nodes/stats?pretty".format(local_ip, local_port)
res_node = requests.get(url_node)
if res_node.status_code == 200:
ret_node = res_node.json()
for node,node_value in ret_node["nodes"].items():
#print(ret_node["nodes"][node]["name"]) #打印出节点名字
node_name = node_value["name"]
this_data[node_name] = {
}
#需要获取docs,segments,get,search,merges,flush,warmer等信息
#docs,segments
r_str = "- elastic.indices.docs.count.[{0}] {1}n".format(node_name,node_value["indices"]["docs"]["count"])
r_str = "- elastic.indices.docs.deleted.[{0}] {1}n".format(node_name, node_value["indices"]["docs"]["deleted"])
r_str = "- elastic.indices.segments.count.[{0}] {1}n".format(node_name, node_value["indices"]["segments"]["count"])
r_str = "- elastic.indices.segments.memory.[{0}] {1}n".format(node_name,node_value["indices"]["segments"]["memory_in_bytes"])
#indexing,get,search
indexing_num = node_value["indices"]["indexing"]["index_total"]
indexing_time = node_value["indices"]["indexing"]["index_time_in_millis"]/1000
r_str = "- elastic.indices.indexing.total.[{0}] {1}n".format(node_name, indexing_num)
this_data[node_name].update({
"indexing_num": indexing_num})
r_str = "- elastic.indices.indexing.time.[{0}] {1}n".format(node_name, indexing_time)
this_data[node_name].update({
"indexing_time": indexing_time})
if node_name not in last_data.keys() or (indexing_num - last_data[node_name]["indexing_num"]) == 0:
r_str = "- elastic.indices.indexing.per_time.[{0}] {1}n".format(node_name,0)
else:
r_str = "- elastic.indices.indexing.per_time.[{0}] {1}n".format(node_name,
round((indexing_time - last_data[node_name]["indexing_time"])/(indexing_num - last_data[node_name]["indexing_num"]),3)
)
get_num = node_value["indices"]["get"]["total"]
get_time = node_value["indices"]["get"]["time_in_millis"]/1000
r_str = "- elastic.indices.get.total.[{0}] {1}n".format(node_name, get_num)
this_data[node_name].update({
"get_num": get_num})
r_str = "- elastic.indices.get.time.[{0}] {1}n".format(node_name, get_time)
this_data[node_name].update({
"get_time": get_time})
if node_name not in last_data.keys() or (get_num - last_data[node_name]["get_num"]) == 0:
r_str = "- elastic.indices.get.per_time.[{0}] {1}n".format(node_name,0)
else:
r_str = "- elastic.indices.get.per_time.[{0}] {1}n".format(node_name,
round((get_time - last_data[node_name]["get_time"])/(get_num - last_data[node_name]["get_num"]),3)
)
query_num = node_value["indices"]["search"]["query_total"]
query_time = node_value["indices"]["search"]["query_time_in_millis"]/1000
r_str = "- elastic.indices.search.query_total.[{0}] {1}n".format(node_name, query_num)
this_data[node_name].update({
"query_num": query_num})
r_str = "- elastic.indices.search.query_time.[{0}] {1}n".format(node_name, query_time)
this_data[node_name].update({
"query_time": query_time})
if node_name not in last_data.keys() or (query_num - last_data[node_name]["query_num"]) == 0:
r_str = "- elastic.indices.query.per_time.[{0}] {1}n".format(node_name,0)
else:
r_str = "- elastic.indices.query.per_time.[{0}] {1}n".format(node_name,
round((query_time - last_data[node_name]["query_time"])/(query_num - last_data[node_name]["query_num"]),3)
)
fetch_num = node_value["indices"]["search"]["fetch_total"]
fetch_time = node_value["indices"]["search"]["fetch_time_in_millis"]/1000
r_str = "- elastic.indices.search.fetch_total.[{0}] {1}n".format(node_name, fetch_num)
this_data[node_name].update({
"fetch_num": fetch_num})
r_str = "- elastic.indices.search.fetch_time.[{0}] {1}n".format(node_name,fetch_time)
this_data[node_name].update({
"fetch_time": fetch_time})
if node_name not in last_data.keys() or (fetch_num - last_data[node_name]["fetch_num"]) == 0:
r_str = "- elastic.indices.fetch.per_time.[{0}] {1}n".format(node_name,0)
else:
r_str = "- elastic.indices.fetch.per_time.[{0}] {1}n".format(node_name,
round((fetch_time - last_data[node_name]["fetch_time"])/(fetch_num - last_data[node_name]["fetch_num"]),3)
)
#merges,refresh,flush,warmer
for oper in ["merges","refresh","flush","warmer"]:
#这里有点容易混淆
p_data = {
}
str_num = "{0}_num".format(oper)
str_time = "{0}_time".format(oper)
p_data[str_num] = node_value["indices"][oper]["total"]
p_data[str_time] = node_value["indices"][oper]["total_time_in_millis"]/1000
r_str = "- elastic.indices.{0}.total.[{1}] {2}n".format(oper,node_name, p_data[str_num])
this_data[node_name].update({
"{0}_num".format(oper): p_data[str_num]})
r_str = "- elastic.indices.{0}.time.[{1}] {2}n".format(oper,node_name, p_data[str_time])
this_data[node_name].update({
"{0}_time".format(oper): p_data[str_time]})
if node_name not in last_data.keys() or (p_data[str_num] - last_data[node_name][str_num]) == 0:
r_str = "- elastic.indices.{0}.per_time.[{1}] {2}n".format(oper,node_name, 0)
else:
r_str = "- elastic.indices.{0}.per_time.[{1}] {2}n".format(oper,node_name,
round((p_data[str_time] - last_data[node_name][str_time]) / (p_data[str_num] - last_data[node_name][str_num]),3)
)
#jvm基本
r_str = "- elastic.jvm.heap_max_in_bytes.[{0}] {1}n".format(node_name,node_value["jvm"]["mem"]["heap_max_in_bytes"])
r_str = "- elastic.jvm.heap_used_in_bytes.[{0}] {1}n".format(node_name,node_value["jvm"]["mem"]["heap_used_in_bytes"])
r_str = "- elastic.jvm.threads.[{0}] {1}n".format(node_name,node_value["jvm"]["threads"]["count"])
r_str = "- elastic.jvm.buffer_pools.used_in_bytes.[{0}] {1}n".format(node_name,node_value["jvm"]["buffer_pools"]["direct"]["used_in_bytes"])
r_str = "- elastic.jvm.buffer_pools.total_capacity_in_bytes.[{0}] {1}n".format(node_name,node_value["jvm"]["buffer_pools"]["direct"]["total_capacity_in_bytes"])
#jvm垃圾回收的两个总量，要用减法。后面改进要计算出平均垃圾回收的时间
r_str = "- elastic.jvm.gc.young.num.[{0}] {1}n".format(node_name,node_value["jvm"]["gc"]["collectors"]["young"]["collection_count"])
r_str = "- elastic.jvm.gc.young.time.[{0}] {1}n".format(node_name,node_value["jvm"]["gc"]["collectors"]["young"]["collection_time_in_millis"]/1000)
r_str = "- elastic.jvm.gc.old.num.[{0}] {1}n".format(node_name,node_value["jvm"]["gc"]["collectors"]["old"]["collection_count"])
r_str = "- elastic.jvm.gc.old.time.[{0}] {1}n".format(node_name,node_value["jvm"]["gc"]["collectors"]["old"]["collection_time_in_millis"]/1000)
for m,n in node_value["jvm"]["mem"]["pools"].items():
r_str = "- elastic.jvm.{0}.used_in_bytes.[{1}] {2}n".format(m,node_name,n["used_in_bytes"])
r_str = "- elastic.jvm.{0}.max_in_bytes.[{1}] {2}n".format(m,node_name,n["max_in_bytes"])
#thread_pool，这个东西正常情况下没什么，有些时候还是能发现很多问题的
for k,v in node_value["thread_pool"].items():
r_str = "- elastic.thread_pool.{0}.threads.[{1}] {2}n".format(k,node_name,v[u"threads"])
r_str = "- elastic.thread_pool.{0}.threads.queue.[{1}] {2}n".format(k,node_name,v[u"queue"])
#http和script，其中script是总的数据，做减法
r_str = "- elastic.http.current_open.[{0}] {1}n".format(node_name,node_value["http"]["current_open"])
r_str = "- elastic.script.compilations.[{0}] {1}n".format(node_name,node_value["script"]["compilations"])
#处理每种操作的平均时间time差值/total差值
with open(last_file,"w") as f2:
pickle.dump(this_data,f2)
else:
sys.stderr.write("Fetch node info error!")
# 获取集群信息的url
url_cluster = "http://{0}:{1}/_cluster/health".format(local_ip, local_port)
res_cluster = requests.get(url_cluster)
if res_cluster.status_code == 200:
ret_cluster = res_cluster.json()
#print(ret_cluster)
#绿是0，黄是1，红是2
if ret_cluster[u'status'] == u"green":
status = 0
elif ret_cluster[u'status'] == u"yellow":
status = 1
else:
status = 2
r_str = "- elastic.cluster.status {0}n".format(status)
r_str = "- elastic.cluster.non {0}n".format(ret_cluster[u"number_of_nodes"])
r_str = "- elastic.cluster.us {0}n".format(ret_cluster[u"unassigned_shards"])
r_str = "- elastic.cluster.nopt {0}n".format(ret_cluster[u"number_of_pending_tasks"])
r_str = "- elastic.cluster.noiff {0}n".format(ret_cluster[u"number_of_in_flight_fetch"])
r_str = "- elastic.cluster.aps {0}n".format(ret_cluster[u"active_primary_shards"])
r_str = "- elastic.cluster.tmwiqm {0}n".format(ret_cluster[u"task_max_waiting_in_queue_millis"])
r_str = "- elastic.cluster.rs {0}n".format(ret_cluster[u"relocating_shards"])
r_str = "- elastic.cluster.aspan {0}n".format(ret_cluster[u"active_shards_percent_as_number"])
r_str = "- elastic.cluster.as {0}n".format(ret_cluster[u"active_shards"])
r_str = "- elastic.cluster.is {0}n".format(ret_cluster[u"initializing_shards"])
r_str = "- elastic.cluster.dus {0}n".format(ret_cluster[u"delayed_unassigned_shards"])
r_str = "- elastic.cluster.nodn {0}n".format(ret_cluster[u"number_of_data_nodes"])
else:
sys.stderr.write("Fetch node info error!")
with open(zbx_sender_file,"w") as f:
f.write(r_str)
send_ret = os.popen(zbx_sender_cmd.format(zbx_sender, zbx_conf, zbx_sender_file))
#print(zbx_sender_cmd.format(zbx_sender, zbx_conf, zbx_sender_file))
if "failed: 0" in send_ret.read(): #这一步，用一个普通的item来触发，并返回执行结果，1是正常的，0是发送异常
print(1)
else:
print(0)
if __name__ == "__main__":
if len(sys.argv) == 2 and sys.argv[1]=="discovery":
ret = discovery(local_ip,local_port)
print(ret)
elif len(sys.argv) == 1:
send(local_ip,local_port)
else:
sys.stderr.write("Args is wrong!")发布者：全栈程序员栈长，转载请注明出处：https://javaforall.cn/139561.html原文链接：https://javaforall.cn
