使用elasticsearch_exporter监控elasticsearch集群的状态

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

[[email protected] 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