ELK日志分析系统(4)-elasticsearch数据存储
1. 概述
logstash把格式化的数据发送到elasticsearch以后,elasticsearch负责存储搜索日志数据
elasticsearch的搜索接口还是很强大的,这边不详细展开,因为kibana会去调用el的接口;
本文将讲解elasticsearch的相关配置和遇到的问题,至于elasticsearch的相关搜索使用,后面会找个时间整理一下。
2. 配置
配置路径:docker-elk/elasticsearch/config/elasticsearch.yml
- 关闭安全验证,否则kibana连接不上:xpack.security.enabled:false
- 配置支持跨域调用,否则kibana会提示连接不上: http.cors.enabled: true
另外由于elasticsearch很容易被攻击,所以建议不要把elasticsearch的端口对外开放
cluster.name: "docker-cluster"
network.host: 0.0.0.0
## use single node discovery in order to disable production mode and avoid bootstrap checks
## see https://www.elastic.co/guide/en/elasticsearch/reference/current/bootstrap-checks.html
#
discovery.type: single-node
## x-pack settings
## see https://www.elastic.co/guide/en/elasticsearch/reference/current/setup-xpack.html
#
xpack.license.self_generated.type: trial
xpack.security.enabled: false
xpack.monitoring.collection.enabled: true
http.cors.enabled: true
http.cors.allow-origin: "*"
elasticsearch的缓存路径是/usr/share/elasticsearch/data
验证是否成功:
访问 ,如果得到以下数据表示成功:
3. 异常处理
3.1. index has exceeded [1000000] - maximum allowed to be analyzed for highlighting
详细的出错内容是这样:
{"type":"illegal_argument_exception","reason":"the length of [message] field of [l60zgw0bv9xmtlnx27a_] doc of [syslog] index has exceeded [1000000] - maximum allowed to be analyzed for highlighting. this maximum can be set by changing the [index.highlight.max_analyzed_offset] index level setting. for large texts, indexing with offsets or term vectors is recommended!”}}
错误原因:索引偏移量默认是100000,超过了
最大迁移索引不能配置在配置文件中,只能接口修改
# 修改最大索引迁移
curl -xput "http://192.168.1.165:9200/_settings" -h 'content-type: application/json' -d' {
"index" : {
"highlight.max_analyzed_offset" : 100000000
}
}’
3.1. circuit_breaking_exception', '[parent] data too large, data for [<http_request>] would be [246901928/235.4mb], which is larger than the limit of [246546432/235.1mb]
详细的出错内容是这样:
elasticsearch.exceptions.transporterror: transporterror(429, 'circuit_breaking_exception', '[parent] data too large, data for [<http_request>] would be [246901928/235.4mb], which is larger than the limit of [246546432/235.1mb], real usage: [246901768/235.4mb], new bytes reserved: [160/160b], usages [request=0/0b, fielddata=11733/11.4kb, in_flight_requests=160/160b, accounting=6120593/5.8mb]')
错误原因:
堆内存不够当前查询加载数据所以会报 https://github.com/docker-library/elasticsearch/issues/98
解决方案:
- 提高堆栈内存
在宿主机执行:sudo sysctl -w vm.max_map_count=262144
docker增加命令参数设置java的虚拟机初始化堆栈大小1g,和最大堆栈大小3g
docker-compose路径:配置路径:docker-elk/docker-compose.yml
services:
elasticsearch:
build:
context: elasticsearch/
args:
elk_version: $elk_version
volumes:
- type: bind
source: ./elasticsearch/config/elasticsearch.yml
target: /usr/share/elasticsearch/config/elasticsearch.yml
read_only: true
- type: volume
source: elasticsearch
target: /usr/share/elasticsearch/data
ports:
- "9200:9200"
- "9300:9300"
environment:
es_java_opts: "-xms1g -xmx3g"
elastic_password: changeme
logspout: ignore
networks:
- elk
- 增加堆内存的使用率,默认70%
curl -x put "http://192.168.1.165:9200/_cluster/settings" -h 'content-type: application/json' -d'
{
"transient" : {
"indices.breaker.total.limit" : "90%"
}
}’
3. 安装可视化插件
使用docker启动
docker run -d --name elasticsearch-head -p 9100:9100 mobz/elasticsearch-head:5
elasticsearch需要配置支持跨域调用,否则会提示连接不上
elasticsearch head入口:
插件效果如下:
这个插件估计对新版本的elasticsearch支持不好,后面可以换一个支持新版本elsticsearch的插件。
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