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社区首页 >专栏 >Prometheus系列 | 监控elasticsearch

Prometheus系列 | 监控elasticsearch

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SY小站
发布2020-07-03 15:58:29
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发布2020-07-03 15:58:29
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文章被收录于专栏:SY小站的专栏SY小站的专栏

安装监控插件

代码语言:javascript
复制
wget https://github.com/justwatchcom/elasticsearch_exporter/releases/download/v1.0.4rc1/elasticsearch_exporter-1.0.4rc1.linux-amd64.tar.gz

 tar -zxvf elasticsearch_exporter-1.0.4rc1.linux-amd64.tar.gz
 cd elasticsearch_exporter-1.0.4rc1.linux-amd64/
 nohup ./elasticsearch_exporter --web.listen-address ":9109"  --es.uri http://192.168.50.153:9200 &

启动成功后,可以访问 http://192.168.50.153:9109/metrics ,看抓取的信息

监控图表

指标

解析

##搜索和索引性能

elasticsearch_indices_search_query_total

查询总数 吞吐量

elasticsearch_indices_search_query_time_seconds

查询总时间 性能

elasticsearch_indices_search_fetch_total

提取总数

elasticsearch_indices_search_fetch_time_seconds

花费在提取上的总时间

##索引请求

elasticsearch_indices_indexing_index_total

索引的文件总数

elasticsearch_indices_indexing_index_time_seconds_total

索引文档总时间

elasticsearch_indices_indexing_delete_total

索引的文件删除总数

elasticsearch_indices_indexing_delete_time_seconds_total

索引的文件删除总时间

elasticsearch_indices_refresh_total

索引刷新总数

elasticsearch_indices_refresh_time_seconds_total

刷新指数的总时间

elasticsearch_indices_flush_total

索引刷新总数到磁盘

elasticsearch_indices_flush_time_seconds

将索引刷新到磁盘上的总时间 累计flush时间

##JVM内存和垃圾回收

elasticsearch_jvm_gc_collection_seconds_sum

GC run time in seconds垃圾回收时间

elasticsearch_jvm_gc_collection_seconds_count

Count of JVM GC runs垃圾搜集数

elasticsearch_jvm_memory_committed_bytes

JVM memory currently committed by area最大使用内存限制

elasticsearch_jvm_memory_max_bytes

配置的最大jvm值

elasticsearch_jvm_memory_pool_max_bytes

JVM内存最大池数

elasticsearch_jvm_memory_pool_peak_max_bytes

最大的JVM内存峰值

elasticsearch_jvm_memory_pool_peak_used_bytes

池使用的JVM内存峰值

elasticsearch_jvm_memory_pool_used_bytes

目前使用的JVM内存池

elasticsearch_jvm_memory_used_bytes

JVM memory currently used by area 内存使用量

##集群健康和节点可用性

elasticsearch_cluster_health_status

集群状态,green( 所有的主分片和副本分片都正常运行)、yellow(所有的主分片都正常运行,但不是所有的副本分片都正常运行)red(有主分片没能正常运行)值为1的即为对应状态

elasticsearch_cluster_health_number_of_data_nodes

node节点的数量

elasticsearch_cluster_health_number_of_in_flight_fetch

正在进行的碎片信息请求的数量

elasticsearch_cluster_health_number_of_nodes

集群内所有的节点

elasticsearch_cluster_health_number_of_pending_tasks

尚未执行的集群级别更改

elasticsearch_cluster_health_initializing_shards

正在初始化的分片数

elasticsearch_cluster_health_unassigned_shards

未分配分片数

elasticsearch_cluster_health_active_primary_shards

活跃的主分片总数

elasticsearch_cluster_health_active_shards

活跃的分片总数(包括复制分片)

elasticsearch_cluster_health_relocating_shards

当前节点正在迁移到其他节点的分片数量,通常为0,集群中有节点新加入或者退出时该值会增加

##资源饱和度

elasticsearch_thread_pool_completed_count

线程池操作完成(bulk、index、search、force_merge)

elasticsearch_thread_pool_active_count

线程池线程活动(bulk、index、search、force_merge)

elasticsearch_thread_pool_largest_count

线程池最大线程数(bulk、index、search、force_merge)

elasticsearch_thread_pool_queue_count

线程池中的排队线程数(bulk、index、search、force_merge)

elasticsearch_thread_pool_rejected_count

线程池的被拒绝线程数(bulk、index、search、force_merge)

elasticsearch_indices_fielddata_memory_size_bytes

fielddata缓存的大小(字节)

elasticsearch_indices_fielddata_evictions

来自fielddata缓存的驱逐次数

elasticsearch_indices_filter_cache_evictions

来自过滤器缓存的驱逐次数(仅版本2.x)

elasticsearch_indices_filter_cache_memory_size_bytes

过滤器高速缓存的大小(字节)(仅版本2.x)

elasticsearch_cluster_health_number_of_pending_tasks

待处理任务数

elasticsearch_indices_get_time_seconds

elasticsearch_indices_get_missing_total

丢失的文件的GET请求总数

elasticsearch_indices_get_missing_time_seconds

花费在文档丢失的GET请求上的总时间

elasticsearch_indices_get_exists_time_seconds

elasticsearch_indices_get_exists_total

elasticsearch_indices_get_total

##主机级别的系统和网络指标

elasticsearch_process_cpu_percent

Percent CPU used by process CPU使用率

elasticsearch_filesystem_data_free_bytes

Free space on block device in bytes 磁盘可用空间

elasticsearch_process_open_files_count

Open file descriptors ES进程打开的文件描述符

elasticsearch_transport_rx_packets_total

Count of packets receivedES节点之间网络入流量

elasticsearch_transport_tx_packets_total

Count of packets sentES节点之间网络出流量

prometheus配置

代码语言:javascript
复制
- job_name: 'elasticsearch'
      scrape_interval: 60s
      scrape_timeout:  30s
      metrics_path: "/metrics"
      static_configs:
      - targets:
        - '192.168.50.153:9109'
        labels:
          service: elasticsearch
      relabel_configs:
      - source_labels: [__address__]
        regex: '(.*)\:9109'
        target_label:  'instance'
        replacement:   '$1'
      - source_labels: [__address__]
        regex:         '.*\.(.*)\.lan.*'
        target_label:  'environment'
        replacement:   '$1'

之后运行重读prometheus配置命令

代码语言:javascript
复制
./reload-prometheus.sh

grafana模板

代码语言:javascript
复制
https://grafana.com/dashboards/2322

报警配置

代码语言:javascript
复制
groups:
- name: elasticsearchStatsAlert
  rules:
  - alert: Elastic_Cluster_Health_RED
    expr: elasticsearch_cluster_health_status{color="red"}==1
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}"
      description: "Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}."
  - alert: Elastic_Cluster_Health_Yellow
    expr: elasticsearch_cluster_health_status{color="yellow"}==1
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}"
      description: "Instance {{ $labels.instance }}: not all primary and replica shards are allocated in elasticsearch cluster {{ $labels.cluster }}."
  - alert: Elasticsearch_JVM_Heap_Too_High
    expr: elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"} > 0.8
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "ElasticSearch node {{ $labels.instance }} heap usage is high "
      description: "The heap in {{ $labels.instance }} is over 80% for 15m."
  - alert: Elasticsearch_health_up
    expr: elasticsearch_cluster_health_up !=1
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed"
      description: "ElasticSearch node: {{ $labels.instance }} last scrape of the ElasticSearch cluster health failed"
  - alert: Elasticsearch_Too_Few_Nodes_Running
    expr: elasticsearch_cluster_health_number_of_nodes < 12
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "There are only {{$value}} < 12 ElasticSearch nodes running "
      description: "lasticSearch running on less than 12 nodes(total 14)"
  - alert: Elasticsearch_Count_of_JVM_GC_Runs
    expr: rate(elasticsearch_jvm_gc_collection_seconds_count{}[5m])>5
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: "ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }} "
      description: "ElasticSearch node {{ $labels.instance }}: Count of JVM GC runs > 5 per sec and has a value of {{ $value }}"
  - alert: Elasticsearch_GC_Run_Time
    expr: rate(elasticsearch_jvm_gc_collection_seconds_sum[5m])>0.3
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: GC run time in seconds > 0.3 sec and has a value of {{ $value }}"
  - alert: Elasticsearch_json_parse_failures
    expr: elasticsearch_cluster_health_json_parse_failures>0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: json parse failures > 0 and has a value of {{ $value }}"
  - alert: Elasticsearch_breakers_tripped
    expr: rate(elasticsearch_breakers_tripped{}[5m])>0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: breakers tripped > 0 and has a value of {{ $value }}"
  - alert: Elasticsearch_health_timed_out
    expr: elasticsearch_cluster_health_timed_out>0
    for: 1m
    labels:
      severity: critical
    annotations:
      summary: " ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}"
      description: "ElasticSearch node {{ $labels.instance }}: Number of cluster health checks timed out > 0 and has a value of {{ $value }}"

elasticsearch-7.x监控

代码语言:javascript
复制
Since Elasticsearch 7.0.0 : ./bin/elasticsearch-plugin install -b https://github.com/vvanholl/elasticsearch-prometheus-exporter/releases/download/7.2.1.0/prometheus-exporter-7.2.1.0.zip

Since Elasticsearch 6.0.0 : ./bin/elasticsearch-plugin install -b https://github.com/vvanholl/elasticsearch-prometheus-exporter/releases/download/6.8.0.0/prometheus-exporter-6.8.0.0.zip

On Elasticsearch 5.x.x : ./bin/elasticsearch-plugin install -b https://github.com/vvanholl/elasticsearch-prometheus-exporter/releases/download/5.6.16.0/elasticsearch-prometheus-exporter-5.6.16.0.zip

On old 2.x.x versions : ./bin/plugin install https://github.com/vvanholl/elasticsearch-prometheus-exporter/releases/download/2.4.1.0/elasticsearch-prometheus-exporter-2.4.1.0.zip

Do not forget to restart the node after the installation!

Note that the plugin needs the following special permissions:

java.lang.RuntimePermission accessClassInPackage.sun.misc
java.lang.RuntimePermission accessDeclaredMembers
java.lang.reflect.ReflectPermission suppressAccessChecks
If you have a lot of indices and think this data is irrelevant, you can disable in the main configuration file:

prometheus.indices: false
To disable exporting cluster settings use:

prometheus.cluster.settings: false
代码语言:javascript
复制
Uninstall
Since Elasticsearch 6.0.0: ./bin/elasticsearch-plugin remove prometheus-exporter

On Elasticsearch 5.x.x: ./bin/elasticsearch-plugin remove prometheus-exporter

On old 2.x.x versions: ./bin/plugin remove prometheus-exporter

prometheus配置

代码语言:javascript
复制
- job_name: elasticsearch
  scrape_interval: 10s
  metrics_path: "/_prometheus/metrics"
  static_configs:
  - targets:
    - node1:9200
    - node2:9200
    - node3:9200

带账号密码:

代码语言:javascript
复制
- job_name: 'elastic-cluster'
      scrape_interval: 10s
      metrics_path: '/_prometheus/metrics'
      static_configs:
      - targets:
        - 'node1:9200'
        - 'node2:9200'
        - 'node3:9200'
      basic_auth:
        username: 'elastic'
        password: 'elastic'

grafana

https://grafana.com/grafana/dashboards/266

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原始发表:2020-07-02,如有侵权请联系 cloudcommunity@tencent.com 删除

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目录
  • 安装监控插件
  • 监控图表
  • prometheus配置
  • grafana模板
  • 报警配置
  • elasticsearch-7.x监控
    • prometheus配置
      • grafana
      相关产品与服务
      Elasticsearch Service
      腾讯云 Elasticsearch Service(ES)是云端全托管海量数据检索分析服务,拥有高性能自研内核,集成X-Pack。ES 支持通过自治索引、存算分离、集群巡检等特性轻松管理集群,也支持免运维、自动弹性、按需使用的 Serverless 模式。使用 ES 您可以高效构建信息检索、日志分析、运维监控等服务,它独特的向量检索还可助您构建基于语义、图像的AI深度应用。
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