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