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  • Elasticsearch使用IMDB准备ES学习数据集 【Elasticsearch使用IMDB准备ES学习数据集相关代码脚本
  • 使用ES传输协议(不是HTTP / REST)将JSON文件直接作为文档导入到Elasticsearch中。 导入是通过批量请求完成的。 ##先决条件 Java 8 经过Elasticsearch 1.6测试(也应与早期版本一起使用) ##用法 mvn ...
  • 对于Elasticsearch 7.9.0使用分支es-7.9.0 对于Elasticsearch 7.5.2使用分支es-7.5.2 对于Elasticsearch 7.5.0使用分支es-7.5.0 对于Elasticsearch 7.2.1,请使用分支es-7.2.1 对于Elasticsearch 7
  • mac使用elasticsearch

    2020-02-11 11:07:05
    安装完成后可使用elasticsearch --version查看ES版本信息 使用brew安装ES完成后的目录结构如下: 然后执行启动命令: elasticsearch 查看配置 vim /usr/local/etc/elasticsearch/elasticsearch.yml ...
    • 可能的错误
    • 安装
      brew install elasticsearch

       

    • 安装完成后可使用elasticsearch --version查看ES版本信息
      这里写图片描述
      使用brew安装ES完成后的目录结构如下:
      这里写图片描述
      然后执行启动命令:

      elasticsearch
    • 查看配置
      vim /usr/local/etc/elasticsearch/elasticsearch.yml

      配置:network.host: ip

    • 启动成功后,ES的默认端口是9200,可在浏览器中看到ES的基本信息

    • 安装Kibana

    • KibanaES的一个配套工具,可以让用户在网页中与ES进行交互

      brew install kibana

      启动Kibana

      brew services start kibana

    • 修改配置:

      meilangdeMacBook-Pro:config meilang$ vim /usr/local/Cellar/kibana/6.8.2/config/kibana.yml
      

      elasticsearch.hosts: ["http://ip:9200"]

    • 重启elasticsearch和kibana

    展开全文
  • 了解与使用es

    万次阅读 2020-08-23 00:17:02
    文章目录ElasticSearch 初级学习简述第一章 Elasticsearch集群...本文为Es的基础学习篇,主要内容是对《Elasticsearch服务器开发(第2版)》书籍的学习总结,本文适合Es初学者 Es学习书籍资源地址:https://download.c

    ElasticSearch 初级学习

    简述

    第一章 Elasticsearch集群入门

    1.1 Elasticsearch基础篇

    1.1.1 数据架构的主要概念

    • 1.索引_index
      • index是对数据的一个逻辑存储,可以把它看成关系型数据库的表(对于比较老版本的Es,还存在index,type;这种情况下,可以把index看做是库,type看做是表,不过Es已经开始摒弃type的存在了)
      • index是为了快速的全文检索而存在的,并不存储原始数据;Es是内部支持集群模式的,可以将index放在一个节点或分散在多个节点中,一般在设置index的时候会定义分片、副本个数(1.1.2节介绍)
    • 2.文档_documtn
      • 存储在Es中的主要实体叫文档(document),类比数据库可以将文档对比为库中的一条记录。
      • document与mongo类似,都可以拥有不同的数据结构,但是Es要求相同字段的类型必须相同(未设置mapping的情况下,Es存在动态规划识别存储字段的类型),不过建议在创建index的时候设定好字段的类型
    • 3.文档类型_type(淘汰)
      • 关于文档类型不做描述,因为已经摒弃类型的存在了
    • 4.映射_mapping
      • mapping用来存储文档中字段的类型,每个index都有自己的映射mapping
      • mapping必然存在,不管我们是否设置(我们没有设置的情况下,Es会自己识别),因为文档需要根据字段的类型进行不同的检索放射

    1.1.2 服务的主要概念

    • 1.节点与集群(node)
      • Es可以作为单节点的搜索服务器,但为了支持大型数据接,实现容错与高可用,Es原生也支持集群模式
    • 分片(shard)
      • 存在的意义:当存储大量文档时,会出现内存、磁盘等相关单服务硬件条件的限制,导致无法快速的相应请求,在这种情况下有了分片的存在
      • 作用:分片可以将数据分为较小的数据集(shard),每个分片放在不同的节点上,当查询单个数据时,可以快速定位到哪个分片,然后返回结果。在分片上的处理效率时远高于所有文档放在一起的数据集。
    • 副本(replica shard)
      • 作用:提升服务吞吐量、查询效率、实现服务高可用
      • 原理:一个副本是对一个shard的复制,每个shard可以存在0个或多个副本。
      • 提升吞吐量:在某种情况下,查询不仅可以通过主分片进行检索,也可以通过副本进行检索,以提升查询效率
      • 服务高可用:当拥有A分片的节点挂了后,其他节点必然会有一份A分片的副本,这是es会重新规划分片与副本,使得服务依旧可用。
    • 4.光速之门
      • Es集群模式下,集群的状态是由光速之门控制。默认情况下每个节点都会存储这些信息。我们在第7章节中详解

    1.2 安装Elasticsearch与kibana

    1.3 常用REST API,操作示例

    展开全文
  • 十分钟学会使用 Elasticsearch 优雅搭建自己的搜索系统。 什么是elasticsearch Elasticsearch 是一个开源的高度可扩展的全文搜索和分析引擎,拥有查询近实时的超强性能。 大名鼎鼎的Lucene 搜索引擎被广泛用于搜索...
  • https://github.com/justwatchcom/elasticsearch_exporter https://github.com/justwatchcom/elasticsearch_exporter/releases/download/v1.1.0/elasticsearch_exporter-1.1.0.linux-amd64.tar.gz -------- 启动参数...

    https://github.com/justwatchcom/elasticsearch_exporter
    https://github.com/justwatchcom/elasticsearch_exporter/releases/download/v1.1.0/elasticsearch_exporter-1.1.0.linux-amd64.tar.gz

    -------- 启动参数

    [root@cygs-09-10.168-jiaogou.cn es-exporter]# ./elasticsearch_exporter -h
    usage: elasticsearch_exporter []

    Flags:
    -h, --help Show context-sensitive help (also try --help-long and --help-man).
    指定exporter的端口号
    –web.listen-address=":9114"
    Address to listen on for web interface and telemetry.
    指定exporter暴露的地址
    –web.telemetry-path="/metrics"
    Path under which to expose metrics.
    监控es的地址
    –es.uri=“http://localhost:9200”
    HTTP API address of an Elasticsearch node.
    获取es状态的超时时间
    –es.timeout=5s Timeout for trying to get stats from Elasticsearch.
    是否export集群下所有的node节点
    –es.all Export stats for all nodes in the cluster. If used, this flag will override the flag es.node.
    暴露节点的名称
    –es.node="_local" Node’s name of which metrics should be exposed.
    是否暴露集群中索引的状态
    –es.indices Export stats for indices in the cluster.
    是否暴露集群中索引的setting
    –es.indices_settings Export stats for settings of all indices of the cluster.
    是否暴露集群的setting
    –es.cluster_settings Export stats for cluster settings.
    是否暴露集群中分片的状态
    –es.shards Export stats for shards in the cluster (implies --es.indices).
    是否暴露集群snapshot的状态
    –es.snapshots Export stats for the cluster snapshots.
    集群标签上信息更新的间隔
    –es.clusterinfo.interval=5m
    Cluster info update interval for the cluster label
    es连接的权限信息
    –es.ca="" Path to PEM file that contains trusted Certificate Authorities for the Elasticsearch connection.
    –es.client-private-key=""
    Path to PEM file that contains the private key for client auth when connecting to Elasticsearch.
    –es.client-cert="" Path to PEM file that contains the corresponding cert for the private key to connect to Elasticsearch.
    SSL信息
    –es.ssl-skip-verify Skip SSL verification when connecting to Elasticsearch.
    日志级别
    –log.level=“info” Sets the loglevel. Valid levels are debug, info, warn, error
    指定日志格式
    –log.format=“logfmt” Sets the log format. Valid formats are json and logfmt
    –log.output=“stdout” Sets the log output. Valid outputs are stdout and stderr
    –version Show application version.

    Help 是对指标的表述
    Type 是指标的类型(共有四种类型)

    --------断路器的估计大小(以字节为单位)

    HELP elasticsearch_breakers_estimated_size_bytes Estimated size in bytes of breaker

    TYPE elasticsearch_breakers_estimated_size_bytes gauge

    elasticsearch_breakers_estimated_size_bytes{breaker=“accounting”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_estimated_size_bytes{breaker=“fielddata”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_estimated_size_bytes{breaker=“in_flight_requests”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_estimated_size_bytes{breaker=“parent”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1.220864496e+09
    elasticsearch_breakers_estimated_size_bytes{breaker=“request”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------断路器的限制大小(以字节为单位)

    HELP elasticsearch_breakers_limit_size_bytes Limit size in bytes for breaker

    TYPE elasticsearch_breakers_limit_size_bytes gauge

    elasticsearch_breakers_limit_size_bytes{breaker=“accounting”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 8.432910336e+09
    elasticsearch_breakers_limit_size_bytes{breaker=“fielddata”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 3.373164134e+09
    elasticsearch_breakers_limit_size_bytes{breaker=“in_flight_requests”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 8.432910336e+09
    elasticsearch_breakers_limit_size_bytes{breaker=“parent”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 8.011264819e+09
    elasticsearch_breakers_limit_size_bytes{breaker=“request”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 5.059746201e+09

    --------断路器的开销

    HELP elasticsearch_breakers_overhead Overhead of circuit breakers

    TYPE elasticsearch_breakers_overhead counter

    elasticsearch_breakers_overhead{breaker=“accounting”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1
    elasticsearch_breakers_overhead{breaker=“fielddata”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1.03
    elasticsearch_breakers_overhead{breaker=“in_flight_requests”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 2
    elasticsearch_breakers_overhead{breaker=“parent”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1
    elasticsearch_breakers_overhead{breaker=“request”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1

    --------断路器跳闸

    HELP elasticsearch_breakers_tripped tripped for breaker

    TYPE elasticsearch_breakers_tripped counter

    elasticsearch_breakers_tripped{breaker=“accounting”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_tripped{breaker=“fielddata”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_tripped{breaker=“in_flight_requests”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_tripped{breaker=“parent”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0
    elasticsearch_breakers_tripped{breaker=“request”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------集群中的主分片数。这是所有索引的总和。

    HELP elasticsearch_cluster_health_active_primary_shards The number of primary shards in your cluster. This is an aggregate total across all indices.

    TYPE elasticsearch_cluster_health_active_primary_shards gauge

    elasticsearch_cluster_health_active_primary_shards{cluster=“es742-neibu”} 765

    --------所有索引中所有碎片(包括副本碎片)的合计。

    HELP elasticsearch_cluster_health_active_shards Aggregate total of all shards across all indices, which includes replica shards.

    TYPE elasticsearch_cluster_health_active_shards gauge

    elasticsearch_cluster_health_active_shards{cluster=“es742-neibu”} 1145

    --------分片延迟分配以减少分配开销

    HELP elasticsearch_cluster_health_delayed_unassigned_shards Shards delayed to reduce reallocation overhead

    TYPE elasticsearch_cluster_health_delayed_unassigned_shards gauge

    elasticsearch_cluster_health_delayed_unassigned_shards{cluster=“es742-neibu”} 0

    --------新创建的分片数量

    HELP elasticsearch_cluster_health_initializing_shards Count of shards that are being freshly created.

    TYPE elasticsearch_cluster_health_initializing_shards gauge

    elasticsearch_cluster_health_initializing_shards{cluster=“es742-neibu”} 0

    --------解析JSON时的错误数

    HELP elasticsearch_cluster_health_json_parse_failures Number of errors while parsing JSON.

    TYPE elasticsearch_cluster_health_json_parse_failures counter

    elasticsearch_cluster_health_json_parse_failures 0

    --------集群中数据节点的数量

    HELP elasticsearch_cluster_health_number_of_data_nodes Number of data nodes in the cluster.

    TYPE elasticsearch_cluster_health_number_of_data_nodes gauge

    elasticsearch_cluster_health_number_of_data_nodes{cluster=“es742-neibu”} 3

    --------正在进行的分片信息请求的数量

    HELP elasticsearch_cluster_health_number_of_in_flight_fetch The number of ongoing shard info requests.

    TYPE elasticsearch_cluster_health_number_of_in_flight_fetch gauge

    elasticsearch_cluster_health_number_of_in_flight_fetch{cluster=“es742-neibu”} 0

    --------集群中的节点数量

    HELP elasticsearch_cluster_health_number_of_nodes Number of nodes in the cluster.

    TYPE elasticsearch_cluster_health_number_of_nodes gauge

    elasticsearch_cluster_health_number_of_nodes{cluster=“es742-neibu”} 3

    --------尚未执行的集群级别更改

    HELP elasticsearch_cluster_health_number_of_pending_tasks Cluster level changes which have not yet been executed

    TYPE elasticsearch_cluster_health_number_of_pending_tasks gauge

    elasticsearch_cluster_health_number_of_pending_tasks{cluster=“es742-neibu”} 0

    --------当前从一个节点移动到另一个节点的分片数量

    HELP elasticsearch_cluster_health_relocating_shards The number of shards that are currently moving from one node to another node.

    TYPE elasticsearch_cluster_health_relocating_shards gauge

    elasticsearch_cluster_health_relocating_shards{cluster=“es742-neibu”} 0

    --------集群各种状态统计数

    HELP elasticsearch_cluster_health_status Whether all primary and replica shards are allocated.

    TYPE elasticsearch_cluster_health_status gauge

    elasticsearch_cluster_health_status{cluster=“es742-neibu”,color=“green”} 1
    elasticsearch_cluster_health_status{cluster=“es742-neibu”,color=“red”} 0
    elasticsearch_cluster_health_status{cluster=“es742-neibu”,color=“yellow”} 0

    --------任务在集群队列中最大等待时长(毫秒)

    HELP elasticsearch_cluster_health_task_max_waiting_in_queue_millis Tasks max time waiting in queue.

    TYPE elasticsearch_cluster_health_task_max_waiting_in_queue_millis gauge

    elasticsearch_cluster_health_task_max_waiting_in_queue_millis{cluster=“es742-neibu”} 0

    --------当前集群健康值得抓取次数

    HELP elasticsearch_cluster_health_total_scrapes Current total ElasticSearch cluster health scrapes.

    TYPE elasticsearch_cluster_health_total_scrapes counter

    elasticsearch_cluster_health_total_scrapes 1

    --------处于集群状态但在集群本身中找不到的分片数量

    HELP elasticsearch_cluster_health_unassigned_shards The number of shards that exist in the cluster state, but cannot be found in the cluster itself.

    TYPE elasticsearch_cluster_health_unassigned_shards gauge

    elasticsearch_cluster_health_unassigned_shards{cluster=“es742-neibu”} 0

    --------集群运行状况 最后一次抓取是否成功

    HELP elasticsearch_cluster_health_up Was the last scrape of the ElasticSearch cluster health endpoint successful.

    TYPE elasticsearch_cluster_health_up gauge

    elasticsearch_cluster_health_up 1

    --------上次成功的集群信息检索的时间戳

    HELP elasticsearch_clusterinfo_last_retrieval_success_ts Timestamp of the last successful cluster info retrieval

    TYPE elasticsearch_clusterinfo_last_retrieval_success_ts gauge

    elasticsearch_clusterinfo_last_retrieval_success_ts{url=“http://10.155.10.168:19741”} 1.57802328e+09

    --------集群信息收集器的启动指标

    HELP elasticsearch_clusterinfo_up Up metric for the cluster info collector

    TYPE elasticsearch_clusterinfo_up gauge

    elasticsearch_clusterinfo_up{url=“http://10.155.10.168:19741”} 1

    --------以ES版本信息为标签的常量指标

    HELP elasticsearch_clusterinfo_version_info Constant metric with ES version information as labels

    TYPE elasticsearch_clusterinfo_version_info gauge

    elasticsearch_clusterinfo_version_info{build_date=“2019-10-28T20:40:44.881551Z”,build_hash=“2f90bbf7b93631e52bafb59b3b049cb44ec25e96”,cluster=“es742-neibu”,cluster_uuid=“DvcCGVHtTnaFSBZBo2TXRA”,lucene_version=“8.2.0”,version=“7.4.2”} 0

    --------一个度量标准,具有恒定的1值,该值由版本,修订版,分支和goversion标记,并以此为基础构建elasticsearch_exporter

    HELP elasticsearch_exporter_build_info A metric with a constant ‘1’ value labeled by version, revision, branch, and goversion from which elasticsearch_exporter was built.

    TYPE elasticsearch_exporter_build_info gauge

    elasticsearch_exporter_build_info{branch=“master”,goversion=“go1.12.3”,revision=“fe20e499ffdd6053e6153bac15eae494e08931df”,version=“1.1.0”} 1

    --------块设备上的可用空间(字节)

    HELP elasticsearch_filesystem_data_available_bytes Available space on block device in bytes

    TYPE elasticsearch_filesystem_data_available_bytes gauge

    elasticsearch_filesystem_data_available_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,mount="/tol (/dev/sda5)",name=“node-168”,path="/tol/es-data/es742-neibu/nodes/0"} 1.088148221952e+12

    --------块设备上的可用空间(以字节为单位)

    HELP elasticsearch_filesystem_data_free_bytes Free space on block device in bytes

    TYPE elasticsearch_filesystem_data_free_bytes gauge

    elasticsearch_filesystem_data_free_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,mount="/tol (/dev/sda5)",name=“node-168”,path="/tol/es-data/es742-neibu/nodes/0"} 1.088148221952e+12

    --------块设备的大小(以字节为单位)

    HELP elasticsearch_filesystem_data_size_bytes Size of block device in bytes

    TYPE elasticsearch_filesystem_data_size_bytes gauge

    elasticsearch_filesystem_data_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,mount="/tol (/dev/sda5)",name=“node-168”,path="/tol/es-data/es742-neibu/nodes/0"} 1.09265702912e+12

    --------磁盘操作计数

    HELP elasticsearch_filesystem_io_stats_device_operations_count Count of disk operations

    TYPE elasticsearch_filesystem_io_stats_device_operations_count counter

    elasticsearch_filesystem_io_stats_device_operations_count{cluster=“es742-neibu”,device=“sda5”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 5.122298e+06

    --------磁盘读取操作的计数

    HELP elasticsearch_filesystem_io_stats_device_read_operations_count Count of disk read operations

    TYPE elasticsearch_filesystem_io_stats_device_read_operations_count counter

    elasticsearch_filesystem_io_stats_device_read_operations_count{cluster=“es742-neibu”,device=“sda5”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 6

    --------从磁盘读取的总kb数

    HELP elasticsearch_filesystem_io_stats_device_read_size_kilobytes_sum Total kilobytes read from disk

    TYPE elasticsearch_filesystem_io_stats_device_read_size_kilobytes_sum counter

    elasticsearch_filesystem_io_stats_device_read_size_kilobytes_sum{cluster=“es742-neibu”,device=“sda5”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 116

    --------磁盘写入操作的计数

    HELP elasticsearch_filesystem_io_stats_device_write_operations_count Count of disk write operations

    TYPE elasticsearch_filesystem_io_stats_device_write_operations_count counter

    elasticsearch_filesystem_io_stats_device_write_operations_count{cluster=“es742-neibu”,device=“sda5”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 5.122292e+06

    --------写入磁盘的总kb数

    HELP elasticsearch_filesystem_io_stats_device_write_size_kilobytes_sum Total kilobytes written to disk

    TYPE elasticsearch_filesystem_io_stats_device_write_size_kilobytes_sum counter

    elasticsearch_filesystem_io_stats_device_write_size_kilobytes_sum{cluster=“es742-neibu”,device=“sda5”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 4.2528471e+07

    --------完成字节数

    HELP elasticsearch_indices_completion_size_in_bytes Completion in bytes

    TYPE elasticsearch_indices_completion_size_in_bytes counter

    elasticsearch_indices_completion_size_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------该节点上的文档数

    HELP elasticsearch_indices_docs Count of documents on this node

    TYPE elasticsearch_indices_docs gauge

    elasticsearch_indices_docs{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------此节点上已删除文档的数量

    HELP elasticsearch_indices_docs_deleted Count of deleted documents on this node

    TYPE elasticsearch_indices_docs_deleted gauge

    elasticsearch_indices_docs_deleted{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------来自字段数据的逐出

    HELP elasticsearch_indices_fielddata_evictions Evictions from field data

    TYPE elasticsearch_indices_fielddata_evictions counter

    elasticsearch_indices_fielddata_evictions{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------字段数据缓存的内存使用量(以字节为单位)

    HELP elasticsearch_indices_fielddata_memory_size_bytes Field data cache memory usage in bytes

    TYPE elasticsearch_indices_fielddata_memory_size_bytes gauge

    elasticsearch_indices_fielddata_memory_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------来自过滤器缓存的逐出

    HELP elasticsearch_indices_filter_cache_evictions Evictions from filter cache

    TYPE elasticsearch_indices_filter_cache_evictions counter

    elasticsearch_indices_filter_cache_evictions{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------过滤缓存的内存使用量(以字节为单位)

    HELP elasticsearch_indices_filter_cache_memory_size_bytes Filter cache memory usage in bytes

    TYPE elasticsearch_indices_filter_cache_memory_size_bytes gauge

    elasticsearch_indices_filter_cache_memory_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------累积刷新时间(以秒为单位)

    HELP elasticsearch_indices_flush_time_seconds Cumulative flush time in seconds

    TYPE elasticsearch_indices_flush_time_seconds counter

    elasticsearch_indices_flush_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0.001

    --------刷新总数

    HELP elasticsearch_indices_flush_total Total flushes

    TYPE elasticsearch_indices_flush_total counter

    elasticsearch_indices_flush_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 109

    --------获得的总时间以秒为单位

    HELP elasticsearch_indices_get_exists_time_seconds Total time get exists in seconds

    TYPE elasticsearch_indices_get_exists_time_seconds counter

    elasticsearch_indices_get_exists_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总计get存在操作

    HELP elasticsearch_indices_get_exists_total Total get exists operations

    TYPE elasticsearch_indices_get_exists_total counter

    elasticsearch_indices_get_exists_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------get丢失的总时间(以秒为单位)

    HELP elasticsearch_indices_get_missing_time_seconds Total time of get missing in seconds

    TYPE elasticsearch_indices_get_missing_time_seconds counter

    elasticsearch_indices_get_missing_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总计get丢失数

    HELP elasticsearch_indices_get_missing_total Total get missing

    TYPE elasticsearch_indices_get_missing_total counter

    elasticsearch_indices_get_missing_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总获取时间(以秒为单位)

    HELP elasticsearch_indices_get_time_seconds Total get time in seconds

    TYPE elasticsearch_indices_get_time_seconds counter

    elasticsearch_indices_get_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总计获得

    HELP elasticsearch_indices_get_total Total get

    TYPE elasticsearch_indices_get_total counter

    elasticsearch_indices_get_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------删除索引的总时间,以秒为单位

    HELP elasticsearch_indices_indexing_delete_time_seconds_total Total time indexing delete in seconds

    TYPE elasticsearch_indices_indexing_delete_time_seconds_total counter

    elasticsearch_indices_indexing_delete_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------索引删除总数

    HELP elasticsearch_indices_indexing_delete_total Total indexing deletes

    TYPE elasticsearch_indices_indexing_delete_total counter

    elasticsearch_indices_indexing_delete_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------累积索引时间(以秒为单位)

    HELP elasticsearch_indices_indexing_index_time_seconds_total Cumulative index time in seconds

    TYPE elasticsearch_indices_indexing_index_time_seconds_total counter

    elasticsearch_indices_indexing_index_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------索引调用总数

    HELP elasticsearch_indices_indexing_index_total Total index calls

    TYPE elasticsearch_indices_indexing_index_total counter

    elasticsearch_indices_indexing_index_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------索引限制

    HELP elasticsearch_indices_indexing_is_throttled Indexing throttling

    TYPE elasticsearch_indices_indexing_is_throttled gauge

    elasticsearch_indices_indexing_is_throttled{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------累积索引节流时间

    HELP elasticsearch_indices_indexing_throttle_time_seconds_total Cumulative indexing throttling time

    TYPE elasticsearch_indices_indexing_throttle_time_seconds_total counter

    elasticsearch_indices_indexing_throttle_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------当前合并

    HELP elasticsearch_indices_merges_current Current merges

    TYPE elasticsearch_indices_merges_current gauge

    elasticsearch_indices_merges_current{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------当前合并的大小(以字节为单位)

    HELP elasticsearch_indices_merges_current_size_in_bytes Size of a current merges in bytes

    TYPE elasticsearch_indices_merges_current_size_in_bytes gauge

    elasticsearch_indices_merges_current_size_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------累计文档合并

    HELP elasticsearch_indices_merges_docs_total Cumulative docs merged

    TYPE elasticsearch_indices_merges_docs_total counter

    elasticsearch_indices_merges_docs_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------合并总数

    HELP elasticsearch_indices_merges_total Total merges

    TYPE elasticsearch_indices_merges_total counter

    elasticsearch_indices_merges_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总合并大小(以字节为单位)

    HELP elasticsearch_indices_merges_total_size_bytes_total Total merge size in bytes

    TYPE elasticsearch_indices_merges_total_size_bytes_total counter

    elasticsearch_indices_merges_total_size_bytes_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------合并的总限制时间(以秒为单位)

    HELP elasticsearch_indices_merges_total_throttled_time_seconds_total Total throttled time of merges in seconds

    TYPE elasticsearch_indices_merges_total_throttled_time_seconds_total counter

    elasticsearch_indices_merges_total_throttled_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------合并所花费的总时间(以秒为单位)

    HELP elasticsearch_indices_merges_total_time_seconds_total Total time spent merging in seconds

    TYPE elasticsearch_indices_merges_total_time_seconds_total counter

    elasticsearch_indices_merges_total_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询缓存的缓存大小

    HELP elasticsearch_indices_query_cache_cache_size Query cache cache size

    TYPE elasticsearch_indices_query_cache_cache_size gauge

    elasticsearch_indices_query_cache_cache_size{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询缓存的缓存计数

    HELP elasticsearch_indices_query_cache_cache_total Query cache cache count

    TYPE elasticsearch_indices_query_cache_cache_total counter

    elasticsearch_indices_query_cache_cache_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询缓存数

    HELP elasticsearch_indices_query_cache_count Query cache count

    TYPE elasticsearch_indices_query_cache_count counter

    elasticsearch_indices_query_cache_count{cache=“hit”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询缓存中的逐出

    HELP elasticsearch_indices_query_cache_evictions Evictions from query cache

    TYPE elasticsearch_indices_query_cache_evictions counter

    elasticsearch_indices_query_cache_evictions{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询缓存的内存使用量(以字节为单位)

    HELP elasticsearch_indices_query_cache_memory_size_bytes Query cache memory usage in bytes

    TYPE elasticsearch_indices_query_cache_memory_size_bytes gauge

    elasticsearch_indices_query_cache_memory_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询缓存总数

    HELP elasticsearch_indices_query_cache_total Query cache total count

    TYPE elasticsearch_indices_query_cache_total counter

    elasticsearch_indices_query_cache_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询未命中计数

    HELP elasticsearch_indices_query_miss_count Query miss count

    TYPE elasticsearch_indices_query_miss_count counter

    elasticsearch_indices_query_miss_count{cache=“miss”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------刷新所花费的总时间(以秒为单位)

    HELP elasticsearch_indices_refresh_time_seconds_total Total time spent refreshing in seconds

    TYPE elasticsearch_indices_refresh_time_seconds_total counter

    elasticsearch_indices_refresh_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0.01

    --------刷新总数

    HELP elasticsearch_indices_refresh_total Total refreshes

    TYPE elasticsearch_indices_refresh_total counter

    elasticsearch_indices_refresh_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1037

    --------请求缓存数

    HELP elasticsearch_indices_request_cache_count Request cache count

    TYPE elasticsearch_indices_request_cache_count counter

    elasticsearch_indices_request_cache_count{cache=“hit”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------来自请求缓存的逐出

    HELP elasticsearch_indices_request_cache_evictions Evictions from request cache

    TYPE elasticsearch_indices_request_cache_evictions counter

    elasticsearch_indices_request_cache_evictions{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------请求缓存的内存使用量(以字节为单位)

    HELP elasticsearch_indices_request_cache_memory_size_bytes Request cache memory usage in bytes

    TYPE elasticsearch_indices_request_cache_memory_size_bytes gauge

    elasticsearch_indices_request_cache_memory_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------请求未命中计数

    HELP elasticsearch_indices_request_miss_count Request miss count

    TYPE elasticsearch_indices_request_miss_count counter

    elasticsearch_indices_request_miss_count{cache=“miss”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------搜索总时间,以秒为单位

    HELP elasticsearch_indices_search_fetch_time_seconds Total search fetch time in seconds

    TYPE elasticsearch_indices_search_fetch_time_seconds counter

    elasticsearch_indices_search_fetch_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------提取总数

    HELP elasticsearch_indices_search_fetch_total Total number of fetches

    TYPE elasticsearch_indices_search_fetch_total counter

    elasticsearch_indices_search_fetch_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总搜索查询时间,以秒为单位

    HELP elasticsearch_indices_search_query_time_seconds Total search query time in seconds

    TYPE elasticsearch_indices_search_query_time_seconds counter

    elasticsearch_indices_search_query_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------查询总数

    HELP elasticsearch_indices_search_query_total Total number of queries

    TYPE elasticsearch_indices_search_query_total counter

    elasticsearch_indices_search_query_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总滚动时间(以秒为单位)

    HELP elasticsearch_indices_search_scroll_time_seconds Total scroll time in seconds

    TYPE elasticsearch_indices_search_scroll_time_seconds counter

    elasticsearch_indices_search_scroll_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------滚动总数

    HELP elasticsearch_indices_search_scroll_total Total number of scrolls

    TYPE elasticsearch_indices_search_scroll_total counter

    elasticsearch_indices_search_scroll_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总建议时间(以秒为单位)

    HELP elasticsearch_indices_search_suggest_time_seconds Total suggest time in seconds

    TYPE elasticsearch_indices_search_suggest_time_seconds counter

    elasticsearch_indices_search_suggest_time_seconds{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------建议总数

    HELP elasticsearch_indices_search_suggest_total Total number of suggests

    TYPE elasticsearch_indices_search_suggest_total counter

    elasticsearch_indices_search_suggest_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------此节点上索引段的计数

    HELP elasticsearch_indices_segments_count Count of index segments on this node

    TYPE elasticsearch_indices_segments_count gauge

    elasticsearch_indices_segments_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------文档值内存计数

    HELP elasticsearch_indices_segments_doc_values_memory_in_bytes Count of doc values memory

    TYPE elasticsearch_indices_segments_doc_values_memory_in_bytes gauge

    elasticsearch_indices_segments_doc_values_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------固定位设置的计数

    HELP elasticsearch_indices_segments_fixed_bit_set_memory_in_bytes Count of fixed bit set

    TYPE elasticsearch_indices_segments_fixed_bit_set_memory_in_bytes gauge

    elasticsearch_indices_segments_fixed_bit_set_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------此节点上索引编写器的内存计数

    HELP elasticsearch_indices_segments_index_writer_memory_in_bytes Count of memory for index writer on this node

    TYPE elasticsearch_indices_segments_index_writer_memory_in_bytes gauge

    elasticsearch_indices_segments_index_writer_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------当前段的内存大小(以字节为单位)

    HELP elasticsearch_indices_segments_memory_bytes Current memory size of segments in bytes

    TYPE elasticsearch_indices_segments_memory_bytes gauge

    elasticsearch_indices_segments_memory_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------规范使用的内存计数

    HELP elasticsearch_indices_segments_norms_memory_in_bytes Count of memory used by norms

    TYPE elasticsearch_indices_segments_norms_memory_in_bytes gauge

    elasticsearch_indices_segments_norms_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------点值内存使用量(以字节为单位)

    HELP elasticsearch_indices_segments_points_memory_in_bytes Point values memory usage in bytes

    TYPE elasticsearch_indices_segments_points_memory_in_bytes gauge

    elasticsearch_indices_segments_points_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------已存储字段内存数

    HELP elasticsearch_indices_segments_stored_fields_memory_in_bytes Count of stored fields memory

    TYPE elasticsearch_indices_segments_stored_fields_memory_in_bytes gauge

    elasticsearch_indices_segments_stored_fields_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------term向量的内存使用量(以字节为单位)

    HELP elasticsearch_indices_segments_term_vectors_memory_in_bytes Term vectors memory usage in bytes

    TYPE elasticsearch_indices_segments_term_vectors_memory_in_bytes gauge

    elasticsearch_indices_segments_term_vectors_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------此节点在内存中的terms计数

    HELP elasticsearch_indices_segments_terms_memory_in_bytes Count of terms in memory for this node

    TYPE elasticsearch_indices_segments_terms_memory_in_bytes gauge

    elasticsearch_indices_segments_terms_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------版本地图内存使用量(以字节为单位)

    HELP elasticsearch_indices_segments_version_map_memory_in_bytes Version map memory usage in bytes

    TYPE elasticsearch_indices_segments_version_map_memory_in_bytes gauge

    elasticsearch_indices_segments_version_map_memory_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------当前存储的索引数据大小(以字节为单位)

    HELP elasticsearch_indices_store_size_bytes Current size of stored index data in bytes

    TYPE elasticsearch_indices_store_size_bytes gauge

    elasticsearch_indices_store_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 108106

    --------索引存储的节流时间(以秒为单位)

    HELP elasticsearch_indices_store_throttle_time_seconds_total Throttle time for index store in seconds

    TYPE elasticsearch_indices_store_throttle_time_seconds_total counter

    elasticsearch_indices_store_throttle_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总的translog操作

    HELP elasticsearch_indices_translog_operations Total translog operations

    TYPE elasticsearch_indices_translog_operations counter

    elasticsearch_indices_translog_operations{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------总的translog大小(以字节为单位)

    HELP elasticsearch_indices_translog_size_in_bytes Total translog size in bytes

    TYPE elasticsearch_indices_translog_size_in_bytes counter

    elasticsearch_indices_translog_size_in_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 57035

    --------总warmer时间(以秒为单位)

    HELP elasticsearch_indices_warmer_time_seconds_total Total warmer time in seconds

    TYPE elasticsearch_indices_warmer_time_seconds_total counter

    elasticsearch_indices_warmer_time_seconds_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0.004

    --------warmer总数

    HELP elasticsearch_indices_warmer_total Total warmer count

    TYPE elasticsearch_indices_warmer_total counter

    elasticsearch_indices_warmer_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 382

    --------当前使用的JVM buffer 数

    HELP elasticsearch_jvm_buffer_pool_used_bytes JVM buffer currently used

    TYPE elasticsearch_jvm_buffer_pool_used_bytes gauge

    elasticsearch_jvm_buffer_pool_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“direct”} 3.7864429e+07
    elasticsearch_jvm_buffer_pool_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“mapped”} 0

    --------JVM GC运行计数

    HELP elasticsearch_jvm_gc_collection_seconds_count Count of JVM GC runs

    TYPE elasticsearch_jvm_gc_collection_seconds_count counter

    elasticsearch_jvm_gc_collection_seconds_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,gc=“old”,host=“10.155.10.168”,name=“node-168”} 2
    elasticsearch_jvm_gc_collection_seconds_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,gc=“young”,host=“10.155.10.168”,name=“node-168”} 18

    --------GC的运行时间(以秒为单位)

    HELP elasticsearch_jvm_gc_collection_seconds_sum GC run time in seconds

    TYPE elasticsearch_jvm_gc_collection_seconds_sum counter

    elasticsearch_jvm_gc_collection_seconds_sum{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,gc=“old”,host=“10.155.10.168”,name=“node-168”} 0.316
    elasticsearch_jvm_gc_collection_seconds_sum{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,gc=“young”,host=“10.155.10.168”,name=“node-168”} 1.25

    --------当前按区域提交的JVM内存

    HELP elasticsearch_jvm_memory_committed_bytes JVM memory currently committed by area

    TYPE elasticsearch_jvm_memory_committed_bytes gauge

    elasticsearch_jvm_memory_committed_bytes{area=“heap”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 8.432910336e+09
    elasticsearch_jvm_memory_committed_bytes{area=“non-heap”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1.44601088e+08

    --------JVM内存最大

    HELP elasticsearch_jvm_memory_max_bytes JVM memory max

    TYPE elasticsearch_jvm_memory_max_bytes gauge

    elasticsearch_jvm_memory_max_bytes{area=“heap”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 8.432910336e+09

    --------JVM内存最大值

    HELP elasticsearch_jvm_memory_pool_max_bytes JVM memory max by pool

    TYPE elasticsearch_jvm_memory_pool_max_bytes counter

    elasticsearch_jvm_memory_pool_max_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“old”} 7.019626496e+09
    elasticsearch_jvm_memory_pool_max_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“survivor”} 1.57024256e+08
    elasticsearch_jvm_memory_pool_max_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“young”} 1.256259584e+09

    --------JVM内存峰值最大值

    HELP elasticsearch_jvm_memory_pool_peak_max_bytes JVM memory peak max by pool

    TYPE elasticsearch_jvm_memory_pool_peak_max_bytes counter

    elasticsearch_jvm_memory_pool_peak_max_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“old”} 7.019626496e+09
    elasticsearch_jvm_memory_pool_peak_max_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“survivor”} 1.57024256e+08
    elasticsearch_jvm_memory_pool_peak_max_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“young”} 1.256259584e+09

    --------池使用的JVM内存峰值

    HELP elasticsearch_jvm_memory_pool_peak_used_bytes JVM memory peak used by pool

    TYPE elasticsearch_jvm_memory_pool_peak_used_bytes counter

    elasticsearch_jvm_memory_pool_peak_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“old”} 7.56290376e+08
    elasticsearch_jvm_memory_pool_peak_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“survivor”} 1.57024256e+08
    elasticsearch_jvm_memory_pool_peak_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“young”} 1.256259584e+09

    --------池当前使用的JVM内存

    HELP elasticsearch_jvm_memory_pool_used_bytes JVM memory currently used by pool

    TYPE elasticsearch_jvm_memory_pool_used_bytes gauge

    elasticsearch_jvm_memory_pool_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“old”} 7.56290376e+08
    elasticsearch_jvm_memory_pool_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“survivor”} 846080
    elasticsearch_jvm_memory_pool_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,pool=“young”} 4.6372804e+08

    --------当前区域使用的JVM内存

    HELP elasticsearch_jvm_memory_used_bytes JVM memory currently used by area

    TYPE elasticsearch_jvm_memory_used_bytes gauge

    elasticsearch_jvm_memory_used_bytes{area=“heap”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1.220864496e+09
    elasticsearch_jvm_memory_used_bytes{area=“non-heap”,cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1.32646984e+08

    --------解析JSON时的错误数。

    HELP elasticsearch_node_stats_json_parse_failures Number of errors while parsing JSON.

    TYPE elasticsearch_node_stats_json_parse_failures counter

    elasticsearch_node_stats_json_parse_failures 0

    --------当前总共ElasticSearch节点采集数。

    HELP elasticsearch_node_stats_total_scrapes Current total ElasticSearch node scrapes.

    TYPE elasticsearch_node_stats_total_scrapes counter

    elasticsearch_node_stats_total_scrapes 1

    --------节点端点的最后一次采集是否成功

    HELP elasticsearch_node_stats_up Was the last scrape of the ElasticSearch nodes endpoint successful.

    TYPE elasticsearch_node_stats_up gauge

    elasticsearch_node_stats_up 1

    --------节点角色

    HELP elasticsearch_nodes_roles Node roles

    TYPE elasticsearch_nodes_roles gauge

    elasticsearch_nodes_roles{cluster=“es742-neibu”,host=“10.155.10.168”,name=“node-168”,role=“client”} 1
    elasticsearch_nodes_roles{cluster=“es742-neibu”,host=“10.155.10.168”,name=“node-168”,role=“data”} 1
    elasticsearch_nodes_roles{cluster=“es742-neibu”,host=“10.155.10.168”,name=“node-168”,role=“ingest”} 1
    elasticsearch_nodes_roles{cluster=“es742-neibu”,host=“10.155.10.168”,name=“node-168”,role=“master”} 1

    --------操作系统使用的CPU百分比

    HELP elasticsearch_os_cpu_percent Percent CPU used by OS

    TYPE elasticsearch_os_cpu_percent gauge

    elasticsearch_os_cpu_percent{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1

    --------短期平均负载

    HELP elasticsearch_os_load1 Shortterm load average

    TYPE elasticsearch_os_load1 gauge

    elasticsearch_os_load1{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------长期平均负载

    HELP elasticsearch_os_load15 Longterm load average

    TYPE elasticsearch_os_load15 gauge

    elasticsearch_os_load15{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0.05

    --------中期平均负载

    HELP elasticsearch_os_load5 Midterm load average

    TYPE elasticsearch_os_load5 gauge

    elasticsearch_os_load5{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0.01

    --------可用物理内存量(以字节为单位)

    HELP elasticsearch_os_mem_actual_free_bytes Amount of free physical memory in bytes

    TYPE elasticsearch_os_mem_actual_free_bytes gauge

    elasticsearch_os_mem_actual_free_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------已使用的物理内存量(以字节为单位)

    HELP elasticsearch_os_mem_actual_used_bytes Amount of used physical memory in bytes

    TYPE elasticsearch_os_mem_actual_used_bytes gauge

    elasticsearch_os_mem_actual_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------可用物理内存量(以字节为单位)

    HELP elasticsearch_os_mem_free_bytes Amount of free physical memory in bytes

    TYPE elasticsearch_os_mem_free_bytes gauge

    elasticsearch_os_mem_free_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1.70079232e+10

    --------已使用的物理内存量(以字节为单位)

    HELP elasticsearch_os_mem_used_bytes Amount of used physical memory in bytes

    TYPE elasticsearch_os_mem_used_bytes gauge

    elasticsearch_os_mem_used_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 5.032732672e+10

    --------进程使用的CPU百分比

    HELP elasticsearch_process_cpu_percent Percent CPU used by process

    TYPE elasticsearch_process_cpu_percent gauge

    elasticsearch_process_cpu_percent{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------进程CPU时间(以秒为单位)

    HELP elasticsearch_process_cpu_time_seconds_sum Process CPU time in seconds

    TYPE elasticsearch_process_cpu_time_seconds_sum counter

    elasticsearch_process_cpu_time_seconds_sum{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“sys”} 0
    elasticsearch_process_cpu_time_seconds_sum{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“total”} 609.46
    elasticsearch_process_cpu_time_seconds_sum{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“user”} 0

    --------最大文件描述符

    HELP elasticsearch_process_max_files_descriptors Max file descriptors

    TYPE elasticsearch_process_max_files_descriptors gauge

    elasticsearch_process_max_files_descriptors{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 65536

    --------进程正在使用的驻留内存(以字节为单位)

    HELP elasticsearch_process_mem_resident_size_bytes Resident memory in use by process in bytes

    TYPE elasticsearch_process_mem_resident_size_bytes gauge

    elasticsearch_process_mem_resident_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------进程正在使用的共享内存(以字节为单位)

    HELP elasticsearch_process_mem_share_size_bytes Shared memory in use by process in bytes

    TYPE elasticsearch_process_mem_share_size_bytes gauge

    elasticsearch_process_mem_share_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 0

    --------使用的总虚拟内存(以字节为单位)

    HELP elasticsearch_process_mem_virtual_size_bytes Total virtual memory used in bytes

    TYPE elasticsearch_process_mem_virtual_size_bytes gauge

    elasticsearch_process_mem_virtual_size_bytes{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 2.3400771584e+10

    --------打开文件描述符

    HELP elasticsearch_process_open_files_count Open file descriptors

    TYPE elasticsearch_process_open_files_count gauge

    elasticsearch_process_open_files_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 1965

    --------线程池线程活动状态

    HELP elasticsearch_thread_pool_active_count Thread Pool threads active

    TYPE elasticsearch_thread_pool_active_count gauge

    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“analyze”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ccr”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“data_frame_indexing”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_started”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_store”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“flush”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“force_merge”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“generic”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“get”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“listener”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“management”} 1
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_datafeed”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_job_comms”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_utility”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“refresh”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“rollup_indexing”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search_throttled”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“security-token-key”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“snapshot”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“warmer”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“watcher”} 0
    elasticsearch_thread_pool_active_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“write”} 0

    --------线程池操作已完成

    HELP elasticsearch_thread_pool_completed_count Thread Pool operations completed

    TYPE elasticsearch_thread_pool_completed_count counter

    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“analyze”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ccr”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“data_frame_indexing”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_started”} 109
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_store”} 273
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“flush”} 109
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“force_merge”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“generic”} 699846
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“get”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“listener”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“management”} 1.149664e+06
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_datafeed”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_job_comms”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_utility”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“refresh”} 1.720055e+06
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“rollup_indexing”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search_throttled”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“security-token-key”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“snapshot”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“warmer”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“watcher”} 0
    elasticsearch_thread_pool_completed_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“write”} 0

    --------线程池最大线程数

    HELP elasticsearch_thread_pool_largest_count Thread Pool largest threads count

    TYPE elasticsearch_thread_pool_largest_count gauge

    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“analyze”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ccr”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“data_frame_indexing”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_started”} 48
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_store”} 48
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“flush”} 5
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“force_merge”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“generic”} 5
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“get”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“listener”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“management”} 5
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_datafeed”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_job_comms”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_utility”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“refresh”} 8
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“rollup_indexing”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search_throttled”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“security-token-key”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“snapshot”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“warmer”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“watcher”} 0
    elasticsearch_thread_pool_largest_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“write”} 0

    --------线程池操作排队

    HELP elasticsearch_thread_pool_queue_count Thread Pool operations queued

    TYPE elasticsearch_thread_pool_queue_count gauge

    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“analyze”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ccr”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“data_frame_indexing”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_started”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_store”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“flush”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“force_merge”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“generic”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“get”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“listener”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“management”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_datafeed”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_job_comms”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_utility”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“refresh”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“rollup_indexing”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search_throttled”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“security-token-key”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“snapshot”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“warmer”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“watcher”} 0
    elasticsearch_thread_pool_queue_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“write”} 0

    --------线程池操作被拒绝

    HELP elasticsearch_thread_pool_rejected_count Thread Pool operations rejected

    TYPE elasticsearch_thread_pool_rejected_count counter

    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“analyze”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ccr”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“data_frame_indexing”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_started”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_store”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“flush”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“force_merge”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“generic”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“get”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“listener”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“management”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_datafeed”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_job_comms”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_utility”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“refresh”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“rollup_indexing”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search_throttled”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“security-token-key”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“snapshot”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“warmer”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“watcher”} 0
    elasticsearch_thread_pool_rejected_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“write”} 0

    --------线程池当前线程数

    HELP elasticsearch_thread_pool_threads_count Thread Pool current threads count

    TYPE elasticsearch_thread_pool_threads_count gauge

    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“analyze”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ccr”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“data_frame_indexing”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_started”} 1
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“fetch_shard_store”} 1
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“flush”} 1
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“force_merge”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“generic”} 5
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“get”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“listener”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“management”} 5
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_datafeed”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_job_comms”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“ml_utility”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“refresh”} 8
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“rollup_indexing”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“search_throttled”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“security-token-key”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“snapshot”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“warmer”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“watcher”} 0
    elasticsearch_thread_pool_threads_count{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”,type=“write”} 0

    --------接收到的数据包总数

    HELP elasticsearch_transport_rx_packets_total Count of packets received

    TYPE elasticsearch_transport_rx_packets_total counter

    elasticsearch_transport_rx_packets_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 505969

    --------接收的总字节数

    HELP elasticsearch_transport_rx_size_bytes_total Total number of bytes received

    TYPE elasticsearch_transport_rx_size_bytes_total counter

    elasticsearch_transport_rx_size_bytes_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 2.88849685e+08

    --------发送的数据包总数

    HELP elasticsearch_transport_tx_packets_total Count of packets sent

    TYPE elasticsearch_transport_tx_packets_total counter

    elasticsearch_transport_tx_packets_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 505969

    --------发送的总字节数

    HELP elasticsearch_transport_tx_size_bytes_total Total number of bytes sent

    TYPE elasticsearch_transport_tx_size_bytes_total counter

    elasticsearch_transport_tx_size_bytes_total{cluster=“es742-neibu”,es_client_node=“true”,es_data_node=“true”,es_ingest_node=“true”,es_master_node=“true”,host=“10.155.10.168”,name=“node-168”} 3.97052e+08

    --------GC调用持续时间的摘要

    HELP go_gc_duration_seconds A summary of the GC invocation durations.

    TYPE go_gc_duration_seconds summary

    go_gc_duration_seconds{quantile=“0”} 0
    go_gc_duration_seconds{quantile=“0.25”} 0
    go_gc_duration_seconds{quantile=“0.5”} 0
    go_gc_duration_seconds{quantile=“0.75”} 0
    go_gc_duration_seconds{quantile=“1”} 0
    go_gc_duration_seconds_sum 0
    go_gc_duration_seconds_count 0

    --------当前存在的goroutine数量

    HELP go_goroutines Number of goroutines that currently exist.

    TYPE go_goroutines gauge

    go_goroutines 20

    --------已分配且仍在使用的字节数

    HELP go_memstats_alloc_bytes Number of bytes allocated and still in use.

    TYPE go_memstats_alloc_bytes gauge

    go_memstats_alloc_bytes 1.29408e+06

    --------已分配的总字节数,即使已释放也是如此

    HELP go_memstats_alloc_bytes_total Total number of bytes allocated, even if freed.

    TYPE go_memstats_alloc_bytes_total counter

    go_memstats_alloc_bytes_total 1.29408e+06

    --------分析存储桶哈希表使用的字节数

    HELP go_memstats_buck_hash_sys_bytes Number of bytes used by the profiling bucket hash table.

    TYPE go_memstats_buck_hash_sys_bytes gauge

    go_memstats_buck_hash_sys_bytes 2769

    --------空闲总数

    HELP go_memstats_frees_total Total number of frees.

    TYPE go_memstats_frees_total counter

    go_memstats_frees_total 341

    --------用于垃圾回收系统元数据的字节数

    HELP go_memstats_gc_sys_bytes Number of bytes used for garbage collection system metadata.

    TYPE go_memstats_gc_sys_bytes gauge

    go_memstats_gc_sys_bytes 2.240512e+06

    --------已分配且仍在使用的堆字节数

    HELP go_memstats_heap_alloc_bytes Number of heap bytes allocated and still in use.

    TYPE go_memstats_heap_alloc_bytes gauge

    go_memstats_heap_alloc_bytes 1.29408e+06

    --------等待使用的堆字节数

    HELP go_memstats_heap_idle_bytes Number of heap bytes waiting to be used.

    TYPE go_memstats_heap_idle_bytes gauge

    go_memstats_heap_idle_bytes 6.3717376e+07

    --------正在使用的堆字节数

    HELP go_memstats_heap_inuse_bytes Number of heap bytes that are in use.

    TYPE go_memstats_heap_inuse_bytes gauge

    go_memstats_heap_inuse_bytes 2.670592e+06

    --------分配的对象数

    HELP go_memstats_heap_objects Number of allocated objects.

    TYPE go_memstats_heap_objects gauge

    go_memstats_heap_objects 4934

    --------已释放到操作系统的堆字节总数

    HELP go_memstats_heap_released_bytes_total Total number of heap bytes released to OS.

    TYPE go_memstats_heap_released_bytes_total counter

    go_memstats_heap_released_bytes_total 6.3717376e+07

    --------从系统获取的堆字节数

    HELP go_memstats_heap_sys_bytes Number of heap bytes obtained from system.

    TYPE go_memstats_heap_sys_bytes gauge

    go_memstats_heap_sys_bytes 6.6387968e+07

    --------自1970年以来的最后一次垃圾回收的秒数

    HELP go_memstats_last_gc_time_seconds Number of seconds since 1970 of last garbage collection.

    TYPE go_memstats_last_gc_time_seconds gauge

    go_memstats_last_gc_time_seconds 0

    --------指针查找总数

    HELP go_memstats_lookups_total Total number of pointer lookups.

    TYPE go_memstats_lookups_total counter

    go_memstats_lookups_total 0

    --------总数malloc

    HELP go_memstats_mallocs_total Total number of mallocs.

    TYPE go_memstats_mallocs_total counter

    go_memstats_mallocs_total 5275

    --------mcache结构正在使用的字节数

    HELP go_memstats_mcache_inuse_bytes Number of bytes in use by mcache structures.

    TYPE go_memstats_mcache_inuse_bytes gauge

    go_memstats_mcache_inuse_bytes 41664

    --------用于从系统获取的mcache结构的字节数

    HELP go_memstats_mcache_sys_bytes Number of bytes used for mcache structures obtained from system.

    TYPE go_memstats_mcache_sys_bytes gauge

    go_memstats_mcache_sys_bytes 49152

    --------mspan结构使用的字节数

    HELP go_memstats_mspan_inuse_bytes Number of bytes in use by mspan structures.

    TYPE go_memstats_mspan_inuse_bytes gauge

    go_memstats_mspan_inuse_bytes 34416

    --------用于从系统获取的mspan结构的字节数

    HELP go_memstats_mspan_sys_bytes Number of bytes used for mspan structures obtained from system.

    TYPE go_memstats_mspan_sys_bytes gauge

    go_memstats_mspan_sys_bytes 49152

    --------下一次垃圾回收发生时的堆字节数

    HELP go_memstats_next_gc_bytes Number of heap bytes when next garbage collection will take place.

    TYPE go_memstats_next_gc_bytes gauge

    go_memstats_next_gc_bytes 4.473924e+06

    --------用于其他系统分配的字节数

    HELP go_memstats_other_sys_bytes Number of bytes used for other system allocations.

    TYPE go_memstats_other_sys_bytes gauge

    go_memstats_other_sys_bytes 740655

    --------堆栈分配器正在使用的字节数

    HELP go_memstats_stack_inuse_bytes Number of bytes in use by the stack allocator.

    TYPE go_memstats_stack_inuse_bytes gauge

    go_memstats_stack_inuse_bytes 720896

    --------从系统获取的堆栈分配器的字节数

    HELP go_memstats_stack_sys_bytes Number of bytes obtained from system for stack allocator.

    TYPE go_memstats_stack_sys_bytes gauge

    go_memstats_stack_sys_bytes 720896

    --------系统获取的字节数。所有系统分配的总和

    HELP go_memstats_sys_bytes Number of bytes obtained by system. Sum of all system allocations.

    TYPE go_memstats_sys_bytes gauge

    go_memstats_sys_bytes 7.0191104e+07

    --------HTTP请求延迟(以微秒为单位)

    HELP http_request_duration_microseconds The HTTP request latencies in microseconds.

    TYPE http_request_duration_microseconds summary

    http_request_duration_microseconds{handler=“prometheus”,quantile=“0.5”} NaN
    http_request_duration_microseconds{handler=“prometheus”,quantile=“0.9”} NaN
    http_request_duration_microseconds{handler=“prometheus”,quantile=“0.99”} NaN
    http_request_duration_microseconds_sum{handler=“prometheus”} 0
    http_request_duration_microseconds_count{handler=“prometheus”} 0

    --------HTTP请求大小(以字节为单位)

    HELP http_request_size_bytes The HTTP request sizes in bytes.

    TYPE http_request_size_bytes summary

    http_request_size_bytes{handler=“prometheus”,quantile=“0.5”} NaN
    http_request_size_bytes{handler=“prometheus”,quantile=“0.9”} NaN
    http_request_size_bytes{handler=“prometheus”,quantile=“0.99”} NaN
    http_request_size_bytes_sum{handler=“prometheus”} 0
    http_request_size_bytes_count{handler=“prometheus”} 0

    --------HTTP响应大小(以字节为单位)

    HELP http_response_size_bytes The HTTP response sizes in bytes.

    TYPE http_response_size_bytes summary

    http_response_size_bytes{handler=“prometheus”,quantile=“0.5”} NaN
    http_response_size_bytes{handler=“prometheus”,quantile=“0.9”} NaN
    http_response_size_bytes{handler=“prometheus”,quantile=“0.99”} NaN
    http_response_size_bytes_sum{handler=“prometheus”} 0
    http_response_size_bytes_count{handler=“prometheus”} 0

    --------花费的总用户和系统CPU时间(以秒为单位)

    HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.

    TYPE process_cpu_seconds_total counter

    process_cpu_seconds_total 0.01

    --------打开文件描述符的最大数量

    HELP process_max_fds Maximum number of open file descriptors.

    TYPE process_max_fds gauge

    process_max_fds 1024

    --------打开文件描述符的数量

    HELP process_open_fds Number of open file descriptors.

    TYPE process_open_fds gauge

    process_open_fds 10

    --------驻留内存大小(以字节为单位)

    HELP process_resident_memory_bytes Resident memory size in bytes.

    TYPE process_resident_memory_bytes gauge

    process_resident_memory_bytes 5.287936e+06

    --------自UNIX纪元以来的进程开始时间(以秒为单位)

    HELP process_start_time_seconds Start time of the process since unix epoch in seconds.

    TYPE process_start_time_seconds gauge

    process_start_time_seconds 1.57802268007e+09

    --------虚拟内存大小(以字节为单位)

    HELP process_virtual_memory_bytes Virtual memory size in bytes.

    TYPE process_virtual_memory_bytes gauge

    process_virtual_memory_bytes 1.13557504e+08

    展开全文
  • SpringBoot 配置 ElasticSearch7.4.0 java 封装Post 使用 Elasticsearch 的sql插件 Es配置 引入依赖 <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>elastic...

    SpringBoot 配置 ElasticSearch7.4.0 java 封装Post 使用 Elasticsearch 的sql插件

    Es配置

    引入依赖
    <dependency>
        <groupId>org.elasticsearch.client</groupId>
        <artifactId>elasticsearch-rest-high-level-client</artifactId>
        <version>7.4.0</version>
    </dependency>
    
    配置类
    @Configuration
    public class BaseElasticConfig {
    
        private Logger logger= LoggerFactory.getLogger(BaseElasticConfig.class);
    
        @Bean
        public RestHighLevelClient esRestClient(){
            logger.info("Es初始化开始==========");
            RestHighLevelClient client = new RestHighLevelClient(
                    RestClient.builder(
                            //在这里配置你的elasticsearch的情况
                            new HttpHost("127.0.0.1", 9200, "http")
                    )
            );
            logger.info("Es初始化结束==========");
            return client;
        }
    }
    

    Es操作

    新增索引:当索引存在时候会报错
    @RequestMapping("/createindex")
    public ResponseInfo createIndex() {
        try {
            CreateIndexRequest createIndexRequest = new CreateIndexRequest("test");
            CreateIndexResponse createIndexResponse=client.indices().create(createIndexRequest, RequestOptions.DEFAULT);
            return null;
        }catch (Exception e){
            e.printStackTrace();
            return null;
        }
    }
    
    判断索引是否存在
    @RequestMapping("/exist")
    public boolean testExistIndex() throws IOException {
    	GetIndexRequest request = new GetIndexRequest("test");
    	boolean exists = client.indices().exists(request, RequestOptions.DEFAULT);
    	return exists;
    }
    

    封装Post请求使用Sql插件查询结果

    用java模拟发送如下的Post请求,使用sql插件

    在这里插入图片描述

    使用该方式,查询结果如下:得到Columns和Rows

    在这里插入图片描述

    Java封装Post请求模拟发送Post请求
    /**
     * 封装Post查询Es中的结果
     */
    public  String getEsResultBysql( String sql) {
        PrintWriter out = null;
        BufferedReader in = null;
        String result = "";
        try {
            // 请求的Url
            String url_location = "http://127.0.0.1:9200/_sql";
            // 请求体
            String content = "{\"query\":\"" + sql + "\"}";
            URL realUrl = new URL(url_location);
            // 打开和URL之间的连接
            URLConnection conn = realUrl.openConnection();
            // 设置通用的请求属性
            conn.setRequestProperty("accept", "*/*");
            conn.setRequestProperty("connection", "Keep-Alive");
            conn.setRequestProperty("Content-Type", "application/json");
            conn.setRequestProperty("user-agent", "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1;SV1)");
            // 发送POST请求必须设置如下两行
            conn.setDoOutput(true);
            conn.setDoInput(true);
            ((HttpURLConnection) conn).setRequestMethod("POST");
            // 获取URLConnection对象对应的输出流
            out = new PrintWriter(conn.getOutputStream());
            // 发送请求参数
            out.print(content);
            // flush输出流的缓冲
            out.flush();
            // 定义BufferedReader输入流来读取URL的响应
            in = new BufferedReader(new InputStreamReader(conn.getInputStream()));
            String line;
            while ((line = in.readLine()) != null) {
                result += line;
            }
        } catch (Exception e) {
            System.out.println("发送 POST 请求出现异常!"+e);
            e.printStackTrace();
        }
        //使用finally块来关闭输出流、输入流
        finally{
            try{
                if(out!=null){
                    out.close();
                }
                if(in!=null){
                    in.close();
                }
            }
            catch(IOException ex){
                ex.printStackTrace();
            }
        }
        return result;
    }
    

    就可以写sql进行Es查询了,很Nice

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