建站最好的小熊猫seo博客

1 默认配置

1.1 filebeat

filebeat-7.17.yml,从网关中下载k8s的配置，指定es和kibana的配置

        通过kibana查询可以查询到日志了，但此时还不知道具体怎么用。 

       

1.2 kibana

在Discover中创建索引格式：filebeat-*，得到如下图，可以看出acc-statement-server的日志最多。但里面的字段太多了，下面应该怎么看呢？

        再跟进查看日志，filebeat应该是每一样记录一次，这个浪费了很多存储空间。另外排查问题也并不好查。

  2 多行合并输出

如果使用默认的配置，每一行日志，就会产生一条记录。

2.1 filebeat

        增加多行规则匹配

        设置索引，符合条件走自己的索引，否则则为默认索引

output.elasticsearch:hosts: ['10.101.10.2:9200','10.101.10.3:9200','10.101.10.4:9200']username: ${ELASTICSEARCH_USERNAME}password: ${ELASTICSEARCH_PASSWORD}indices:- index: acc-accountbook-server-%{+yyyy.MM.dd}when.contains:kubernetes.container.name: acc-accountbook-server- index: acc-analysis-server-%{+yyyy.MM.dd}when.contains:kubernetes.container.name: acc-analysis-serverindex: filebeat-7.17.25-%{+yyyy.MM.dd}

        在kibana中跟进日志，发现少部分日志输出成功，大多失败，这是什么原因呢？

         为什么有些可以添加数据，有些不能呢

        调试发现，我在索引前面加上了eayc就可以了，看来问题就出现在索引策略

2.2 logback

        上面的时间分割，是需要logback配置与之对应。如我的系统日志打印出来的是这个，那么filebeat中就无法实现多行合并了。

        如下图修改logback配置。

2.3 pipeline

        在elasticsearch中创建pipeline,参考了【ELK】到【EFK】,【Filebeat】收集【SpringBoot】日志，但最终还是放弃了，还是按照k8s自带的格式，这样便于处理，不需要非得自定义格式。

PUT _ingest/pipeline/eayc_log_pipeline
{"description": "岁月云日志管道","processors": [{"remove": {"field": "agent.name","ignore_missing": true}},{"remove": {"field": "agent.ephemeral_id","ignore_missing": true}},{"remove": {"field": "log.file.path","ignore_missing": true}},{"remove": {"field": "input.type","ignore_missing": true}},{"remove": {"field": "kubernetes.node.labels.kubernetes_io/hostname","ignore_missing": true}},{"remove": {"field": "kubernetes.labels.k8s_kuboard_cn/layer","ignore_missing": true}},{"remove": {"field": "kubernetes.deployment.name","ignore_missing": true}},{"remove": {"field": "container.runtime","ignore_missing": true}},{"remove": {"field": "ecs.version","ignore_missing": true}},{"remove": {"field": "host.architecture","ignore_missing": true}},{"remove": {"field": "host.containerized","ignore_missing": true}},{"remove": {"field": "host.mac","ignore_missing": true}},{"remove": {"field": "host.os.codename","ignore_missing": true}},{"remove": {"field": "host.os.name","ignore_missing": true}},{"remove": {"field": "host.os.platform","ignore_missing": true}},{"remove": {"field": "kubernetes.labels.k8s_kuboard_cn/name","ignore_missing": true}},{"remove": {"field": "kubernetes.labels.pod-template-hash","ignore_missing": true}},{"remove": {"field": "kubernetes.namespace_uid","ignore_missing": true}},{"remove": {"field": "kubernetes.node.labels.beta_kubernetes_io/arch","ignore_missing": true}},{"remove": {"field": "kubernetes.node.labels.beta_kubernetes_io/os","ignore_missing": true}},{"remove": {"field": "log.flags","ignore_missing": true}},{"remove": {"field": "log.offset","ignore_missing": true}},{"remove": {"field": "kubernetes.container.id","ignore_missing": true}},{"remove": {"field": "kubernetes.pod.uid","ignore_missing": true}}]
}

        创建索引策略

PUT _ilm/policy/eayc_log_policy
{"policy": {"phases": {"hot": {"min_age": "0ms","actions": {"rollover": {"max_size": "50gb","max_age": "30d"}}},"delete": {"min_age": "90d","actions": {"delete": {}}}}}
}

2.4 elasticsearch     

  在k8s中启动filebeat中，查看filebeat的日志发现

2024-10-29T07:55:33.935Z        ERROR   [elasticsearch] elasticsearch/client.go:226     failed to perform any bulk index operations: 500 Internal Server Error: {"error":{"root_cause":[{"type":"illegal_state_exception","reason":"There are no ingest nodes in this cluster, unable to forward request to an ingest node."}],"type":"illegal_state_exception","reason":"There are no ingest nodes in this cluster, unable to forward request to an ingest node."},"status":500}

         则需要在elasticsearch.yml中增加配置

node.roles: [ingest]

        创建组合模板

PUT _component_template/filebeat_settings
{"template": {"settings": {"number_of_shards": 1,"number_of_replicas": 1}}
}PUT _component_template/filebeat_mappings
{"template": {"mappings": {"properties": {"@timestamp": {"type": "date"},"message": {"type": "text"}}}}
}PUT _component_template/eayc_mappings
{"template": {"mappings": {"properties": {"@timestamp": {"type": "date"},"message": {"type": "text"},"custom_field": {"type": "keyword"}}}}
}PUT _component_template/acc_mappings
{"template": {"mappings": {"properties": {"@timestamp": {"type": "date"},"message": {"type": "text"},"custom_field": {"type": "keyword"}}}}
}PUT _index_template/filebeat
{"index_patterns": ["filebeat-*"],"composed_of": ["filebeat_settings", "filebeat_mappings"],"priority": 100,"template": {"settings": {"index.lifecycle.name": "eayc_log_policy","index.lifecycle.rollover_alias": "filebeat-write"}}
}PUT _index_template/eayc
{"index_patterns": ["eayc-*"],"composed_of": ["filebeat_settings", "eayc_mappings"],"priority": 100,"template": {"settings": {"index.lifecycle.name": "eayc_log_policy","index.lifecycle.rollover_alias": "filebeat-write"}}
}PUT _index_template/acc
{"index_patterns": ["acc-*"],"composed_of": ["filebeat_settings", "acc_mappings"],"priority": 100,"template": {"settings": {"index.lifecycle.name": "eayc_log_policy","index.lifecycle.rollover_alias": "filebeat-write"}}
}

        接着再看acc添加进去了

        再看日志数据出来了