编写不易，转载请注明（ http://shihlei.iteye.com/blog/2418651）！
一 概述
最近做Elasticsearch优化，需要调整节点参数，重启，查看是否生效。线下测试集群一般使用head插件，方便。但head插件需要其所在节点能正常提供服务，且客户端浏览器网络可达。这种约束不适合线上运维，最直接方式还是使用Elasticsearch提供的Rest API，通过curl 在某个节点上直接查看。
本文从《Elasticsearch官方文档》，《ElasticSearch权威指南》中总结常用命令，用于维护使用，同时摘录了节点启动流程。
二 管理命令
（一）集群
（1）简单查看集群状态
主要用来查看系统状态是否正常，节点是否都在，以及所有可用的主分片，活跃分片。
命令：curl -X GET 'http://[host]:9200/_cluster/health?pretty=true'
结果分析：
{
"cluster_name": "test",
"status": "green",
"timed_out": false,
"number_of_nodes": 3, --节点数量
"number_of_data_nodes": 3, --数据节点数量
"active_primary_shards": 16, --主分配数量
"active_shards": 36, --活跃分片数量
"relocating_shards": 0,
"initializing_shards": 0,
"unassigned_shards": 0,
"delayed_unassigned_shards": 0,
"number_of_pending_tasks": 0,
"number_of_in_flight_fetch": 0,
"task_max_waiting_in_queue_millis": 0,
"active_shards_percent_as_number": 100.0
}
（2）查看集群静态信息
API返回基本索引度量（分片数量，存储大小，内存使用情况）以及有关当前构成集群的节点（数量，角色，操作系统，jvm版本，内存使用情况，cpu和安装的插件）的信息。这里是集群角度，好多参数汇总了。
命令：curl -XGET 'http://[host]:9200/_cluster/stats?pretty=true'
结果分析：
{
"timestamp" : 1523761069417,
"cluster_name" : "test",
"status" : "green",
"indices" : { --索引情况
"count" : 12, --索引总数：不包括关闭的
"shards" : {
"total" : 36, --分片总数：包括主分片和副本分片
"primaries" : 16,
"replication" : 1.25,
"index" : {
"shards" : {
"min" : 2,
"max" : 10,
"avg" : 3.0
},
"primaries" : {
"min" : 1,
"max" : 5,
"avg" : 1.3333333333333333
},
"replication" : {
"min" : 1.0,
"max" : 2.0,
"avg" : 1.3333333333333333
}
}
},
"docs" : { --文档信息
"count" : 6797, --当前索引的document总数
"deleted" : 1 --删除的数量
},
"store" : { --存储信息
"size_in_bytes" : 41453178, --占用空间大小
"throttle_time_in_millis" : 0 --限流时间，如果限流时间很大，那可能表明你的磁盘限流设置得过低
},
"fielddata" : {
"memory_size_in_bytes" : 0,
"evictions" : 0
},
"query_cache" : { --查询缓存信息
"memory_size_in_bytes" : 0, --内存使用大小
"total_count" : 585, --索引文档数
"hit_count" : 0, --命中数量
"miss_count" : 585, --未命中数量
"cache_size" : 0, --缓存大小
"cache_count" : 0, --缓存数量
"evictions" : 0
},
"completion" : {
"size_in_bytes" : 0
},
"segments" : { --lucene segment信息，
"count" : 92, --segment总数
"memory_in_bytes" : 1769262, --内存使用总大小
"terms_memory_in_bytes" : 851222,
"stored_fields_memory_in_bytes" : 40024,
"term_vectors_memory_in_bytes" : 0,
"norms_memory_in_bytes" : 8896,
"doc_values_memory_in_bytes" : 869120,
"index_writer_memory_in_bytes" : 0,
"index_writer_max_memory_in_bytes" : 18432000,
"version_map_memory_in_bytes" : 0,
"fixed_bit_set_memory_in_bytes" : 0
},
"percolate" : {
"total" : 0,
"time_in_millis" : 0,
"current" : 0,
"memory_size_in_bytes" : -1,
"memory_size" : "-1b",
"queries" : 0
}
},
"nodes" : { --节点信息
"count" : {
"total" : 3, --节点总数
"master_only" : 0, --只有master职能的节点数
"data_only" : 0, --只有data职能的节点数
"master_data" : 3, --既有master，又有data职能的节点数
"client" : 0 --client 已经废弃了，我这测的是2.4.2版本
},
"versions" : [ "2.4.2" ], -- es 版本
"os" : { --操作系统信息
"available_processors" : 32, --系统总核数
"allocated_processors" : 32, --分配核数
"mem" : { --内存系统
"total_in_bytes" : 2344828928 --内存总大小
},
"names" : [ {
"name" : "Linux",
"count" : 1
} ]
},
"process" : { --进程信息
"cpu" : {
"percent" : 0 --cpu使用率
},
"open_file_descriptors" : { -- 文件句柄信息
"min" : 831,
"max" : 843,
"avg" : 836
}
},
"jvm" : { --jvm信息
"max_uptime_in_millis" : 24388094000,
"versions" : [ {
"version" : "1.7.0_65",
"vm_name" : "OpenJDK 64-Bit Server VM",
"vm_version" : "24.65-b04",
"vm_vendor" : "Oracle Corporation",
"count" : 3
} ],
"mem" : { --jvm内存信息
"heap_used_in_bytes" : 3285903704, -- 当前堆使用大小
"heap_max_in_bytes" : 12455510016 -- 堆总大小
},
"threads" : 1059 --总线程数
},
"fs" : { --文件系统信息
"total_in_bytes" : 1647163199488, -- 文件系统大小
"free_in_bytes" : 849916973056,
"available_in_bytes" : 766239141888,
"spins" : "true"
},
"plugins" : [ { -- 插件信息
"name" : "marvel-agent",
"version" : "2.4.2",
"description" : "Elasticsearch Marvel Agent",
"jvm" : true,
"classname" : "org.elasticsearch.marvel.MarvelPlugin",
"isolated" : false,
"site" : false
}, {
"name" : "license",
"version" : "2.4.2",
"description" : "Internal Elasticsearch Licensing Plugin",
"jvm" : true,
"classname" : "org.elasticsearch.license.plugin.LicensePlugin",
"isolated" : false,
"site" : false
}, {
"name" : "head",
"version" : "master",
"description" : "head - A web front end for an elastic search cluster",
"url" : "/_plugin/head/",
"jvm" : false,
"site" : true
} ]
}
}
（二）节点
（1）查看节点信息
可以用来验证集群配置修改是否生效。
命令：
（1）查看所有节点：curl -XGET 'http://[host]:9200/_nodes?pretty=true'
（2）查看单个节点：curl -XGET 'http://[host]:9200/_nodes/[node_name]?pretty=true'
结果分析：
{
"cluster_name" : "test",
"nodes" : { --节点信息
"La0pzwQrQDK-r9B5JzNuIA" : {
"name" : "node3", --节点名称
"transport_address" : "127.0.0.1:9300",
"host" : "127.0.0.1",
"ip" : "127.0.0.1",
"version" : "2.4.2",
"build" : "161c65a",
"http_address" : "127.0.0.1:9200",
"attributes" : { --是否是master
"master" : "true"
},
"settings" : { --节点配置
"index" : {
"search" : {
"slowlog" : { --慢查询配置
"threshold" : {
"fetch" : {
"trace" : "25ms"
},
"query" : {
"trace" : "25ms"
}
}
}
}
},
"client" : {
"type" : "node"
},
"pidfile" : "/elasticsearch/2.4.2/node3.pid",
"network" : { --网络监听情况
"host" : "0.0.0.0"
},
"node" : {
"data" : "true",
"master" : "true",
"name" : "node3"
},
"marvel" : { --marvel监控地址
"agent" : {
"exporters" : {
"id1" : {
"type" : "http",
"host" : [ "http://127.0.0.1:9250" ]
}
}
}
},
"transport" : { --tcp 信息
"tcp" : {
"port" : "9300"
}
},
"http" : { --http 信息
"port" : "9200"
},
"name" : "node3",
"path" : { --文件存储路径
"data" : "/elasticsearch/2.4.2/node3",
"home" : "/opt/elasticsearch/2.4.2",
"conf" : "/etc/elasticsearch/2.4.2/node3",
"logs" : "/elasticsearch/2.4.2/logs/node3"
},
"cluster" : {
"name" : "test"
},
"config" : {
"ignore_system_properties" : "true"
},
"discovery" : { --集群发现信息
"zen" : {
"ping" : {
"unicast" : {
"hosts" : [ "127.0.0.1:9300", "127.0.0.1:9301", "127.0.0.1:9302" ]
}
}
}
},
"foreground" : "false"
},
"os" : { --操作系统信息
"refresh_interval_in_millis" : 1000,
"name" : "Linux",
"arch" : "amd64",
"version" : "2.6.32-504.el6.x86_64",
"available_processors" : 32,
"allocated_processors" : 32
},
"process" : {
"refresh_interval_in_millis" : 1000,
"id" : 3098,
"mlockall" : false
},
"jvm" : { --jvm信息
"pid" : 3098,
"version" : "1.7.0_65",
"vm_name" : "OpenJDK 64-Bit Server VM",
"vm_version" : "24.65-b04",
"vm_vendor" : "Oracle Corporation",
"start_time_in_millis" : 1499372985298,
"mem" : {
"heap_init_in_bytes" : 4294967296,
"heap_max_in_bytes" : 4151836672,
"non_heap_init_in_bytes" : 24313856,
"non_heap_max_in_bytes" : 224395264,
"direct_max_in_bytes" : 4151836672
},
"gc_collectors" : [ "ParNew", "ConcurrentMarkSweep" ],
"memory_pools" : [ "Code Cache", "Par Eden Space", "Par Survivor Space", "CMS Old Gen", "CMS Perm Gen" ],
"using_compressed_ordinary_object_pointers" : "true"
},
"thread_pool" : { --线程池信息
"generic" : {
"type" : "cached",
"keep_alive" : "30s",
"queue_size" : -1
},
"index" : { --索引线程池
"type" : "fixed", --线程池类型，fixed是固定大小
"min" : 32, --最小线程数
"max" : 32, --最大线程数
"queue_size" : 200 --线程池大小
},
"fetch_shard_store" : {
"type" : "scaling",
"min" : 1,
"max" : 64,
"keep_alive" : "5m",
"queue_size" : -1
},
"get" : {
"type" : "fixed",
"min" : 32,
"max" : 32,
"queue_size" : 1000
},
"snapshot" : {
"type" : "scaling",
"min" : 1,
"max" : 5,
"keep_alive" : "5m",
"queue_size" : -1
},
"force_merge" : {
"type" : "fixed",
"min" : 1,
"max" : 1,
"queue_size" : -1
},
"suggest" : {
"type" : "fixed",
"min" : 32,
"max" : 32,
"queue_size" : 1000
},
"bulk" : {
"type" : "fixed",
"min" : 32,
"max" : 32,
"queue_size" : 50
},
"warmer" : {
"type" : "scaling",
"min" : 1,
"max" : 5,
"keep_alive" : "5m",
"queue_size" : -1
},
"flush" : {
"type" : "scaling",
"min" : 1,
"max" : 5,
"keep_alive" : "5m",
"queue_size" : -1
},
"search" : {
"type" : "fixed",
"min" : 49,
"max" : 49,
"queue_size" : 1000
},
"fetch_shard_started" : {
"type" : "scaling",
"min" : 1,
"max" : 64,
"keep_alive" : "5m",
"queue_size" : -1
},
"listener" : {
"type" : "fixed",
"min" : 10,
"max" : 10,
"queue_size" : -1
},
"percolate" : {
"type" : "fixed",
"min" : 32,
"max" : 32,
"queue_size" : 1000
},
"refresh" : {
"type" : "scaling",
"min" : 1,
"max" : 10,
"keep_alive" : "5m",
"queue_size" : -1
},
"management" : {
"type" : "scaling",
"min" : 1,
"max" : 5,
"keep_alive" : "5m",
"queue_size" : -1
}
},
"transport" : { --tcp 接受请求信息
"bound_address" : [ "[::]:9300" ],
"publish_address" : "127.0.0.1:9300",
"profiles" : { }
},
"http" : { --http接受请求信息
"bound_address" : [ "[::]:9200" ],
"publish_address" : "127.0.0.1:9200",
"max_content_length_in_bytes" : 104857600
},
"plugins" : [ { --安装插件信息
"name" : "head",
"version" : "master",
"description" : "head - A web front end for an elastic search cluster",
"url" : "/_plugin/head/",
"jvm" : false,
"site" : true
}, {
"name" : "license",
"version" : "2.4.2",
"description" : "Internal Elasticsearch Licensing Plugin",
"jvm" : true,
"classname" : "org.elasticsearch.license.plugin.LicensePlugin",
"isolated" : false,
"site" : false
}, {
"name" : "marvel-agent",
"version" : "2.4.2",
"description" : "Elasticsearch Marvel Agent",
"jvm" : true,
"classname" : "org.elasticsearch.marvel.MarvelPlugin",
"isolated" : false,
"site" : false
} ],
"modules" : [ { --模块信息，需要支持script时，需要安装响应的modules，是否安装可以在这查看
"name" : "lang-expression",
"version" : "2.4.2",
"description" : "Lucene expressions integration for Elasticsearch",
"jvm" : true,
"classname" : "org.elasticsearch.script.expression.ExpressionPlugin",
"isolated" : true,
"site" : false
}, {
"name" : "lang-groovy",
"version" : "2.4.2",
"description" : "Groovy scripting integration for Elasticsearch",
"jvm" : true,
"classname" : "org.elasticsearch.script.groovy.GroovyPlugin",
"isolated" : true,
"site" : false
}, {
"name" : "reindex",
"version" : "2.4.2",
"description" : "_reindex and _update_by_query APIs",
"jvm" : true,
"classname" : "org.elasticsearch.index.reindex.ReindexPlugin",
"isolated" : true,
"site" : false
} ]
},
其他节点（略）。。。。。。
}
}
（2）查看节点状态信息
可以用来查看系统当前状态，用来确定系统目前的处理情况。最好定时采集，以便日后分析使用。
命令：
（1）查看所有节点：curl -X GET 'http://[host]:9200/_nodes/stats?pretty=true'
（2）查看单个节点：curl -X GET 'http://[host]:9200/_nodes/[node_name]/stats?pretty=true'
结果分析：
{
"cluster_name" : "myapp",
"nodes" : {
"La0pzwQrQDK-r9B5JzNuIA" : {
"timestamp" : 1523769963467,
"name" : "node3",
"transport_address" : "127.0.0.1:9302",
"host" : "127.0.0.1",
"ip" : [ "127.0.0.1:9302", "NONE" ],
"attributes" : {
"master" : "true"
},
"indices" : { --索引信息
"docs" : {
"count" : 5663, --document数量
"deleted" : 0
},
"store" : {
"size_in_bytes" : 17227849, --存储空间大小
"throttle_time_in_millis" : 0 --限流时间，如果限流时间很大，那可能表明你的磁盘限流设置得过
},
"indexing" : { --索引信息
"index_total" : 289046, --索引数据
"index_time_in_millis" : 750592, --索引用时，可以除以索引数量，得到每次索引的平均时间
"index_current" : 0,
"index_failed" : 25,
"delete_total" : 1423, --删除数据
"delete_time_in_millis" : 382, --删除耗时
"delete_current" : 0,
"noop_update_total" : 944,
"is_throttled" : false,
"throttle_time_in_millis" : 0
},
"get" : {
"total" : 1018,
"time_in_millis" : 221,
"exists_total" : 954,
"exists_time_in_millis" : 217,
"missing_total" : 64,
"missing_time_in_millis" : 4,
"current" : 0
},
"search" : { --查询
"open_contexts" : 0, --活跃中的搜索数量
"query_total" : 593899, --query操作数量
"query_time_in_millis" : 980120, --query操作耗时，query_time_in_millis / query_total计算的比值，可以用来粗略的评价你的查询有多高效。比值越大，每个查询花费的时间越多，你应该要考虑调优了。
"query_current" : 0,
"fetch_total" : 587866, --fatch数量
"fetch_time_in_millis" : 3692858, --fatch耗时，统计值展示了查询处理的后一半流程（query-then-fetch 里的 fetch），如果 fetch 耗时比 query 还多，说明磁盘较慢，或者获取了太多文档，或者可能搜索请求设置了太大的分页（比如， size: 10000 ）
"fetch_current" : 0,
"scroll_total" : 0,
"scroll_time_in_millis" : 0,
"scroll_current" : 0
},
"merges" : { --段合并信息
"current" : 0, --目前运行几个合并
"current_docs" : 0,
"current_size_in_bytes" : 0,
"total" : 325, --合并次数
"total_time_in_millis" : 65894, --合并操作消耗总时间
"total_docs" : 200942, --合并设计的文档数
"total_size_in_bytes" : 441791060, --合并的段的总大小
"total_stopped_time_in_millis" : 0,
"total_throttled_time_in_millis" : 0,
"total_auto_throttle_in_bytes" : 18853396480
},
"refresh" : {
"total" : 44804,
"total_time_in_millis" : 131391
},
"flush" : {
"total" : 2239,
"total_time_in_millis" : 27722
},
"warmer" : {
"current" : 0,
"total" : 120,
"total_time_in_millis" : 4
},
"query_cache" : { --查询缓存使用情况
"memory_size_in_bytes" : 0, --缓存文档数量
"total_count" : 2,
"hit_count" : 0, --命中数量
"miss_count" : 2, --未命中数量
"cache_size" : 0,
"cache_count" : 0,
"evictions" : 0
},
"fielddata" : {
"memory_size_in_bytes" : 0,
"evictions" : 0
},
"percolate" : {
"total" : 0,
"time_in_millis" : 0,
"current" : 0,
"memory_size_in_bytes" : -1,
"memory_size" : "-1b",
"queries" : 0
},
"completion" : {
"size_in_bytes" : 0
},
"segments" : { --段信息
"count" : 30,
"memory_in_bytes" : 717948, --segment内存总大小
"terms_memory_in_bytes" : 332996,
"stored_fields_memory_in_bytes" : 14080,
"term_vectors_memory_in_bytes" : 0,
"norms_memory_in_bytes" : 2304,
"doc_values_memory_in_bytes" : 368568,
"index_writer_memory_in_bytes" : 0,
"index_writer_max_memory_in_bytes" : 6144000,
"version_map_memory_in_bytes" : 0,
"fixed_bit_set_memory_in_bytes" : 0
},
"translog" : {
"operations" : 0,
"size_in_bytes" : 516
},
"suggest" : {
"total" : 0,
"time_in_millis" : 0,
"current" : 0
},
"request_cache" : {
"memory_size_in_bytes" : 0,
"evictions" : 0,
"hit_count" : 0,
"miss_count" : 0
},
"recovery" : {
"current_as_source" : 0,
"current_as_target" : 0,
"throttle_time_in_millis" : 599
}
},
"os" : { --操作系统信息
"timestamp" : 1523769963475,
"cpu_percent" : 16, --cpu使用率
"load_average" : 2.89, --负载
"mem" : { --内存信息
"total_in_bytes" : 135282704384, --内存总大小
"free_in_bytes" : 1091211264, --空闲内存大小
"used_in_bytes" : 134191493120, --使用内存大小
"free_percent" : 1, --空闲半分比
"used_percent" : 99 --使用内存百分比
},
"swap" : { --swap信息
"total_in_bytes" : 17179865088, --swap总大小
"free_in_bytes" : 1044086784, --swap空闲大小
"used_in_bytes" : 16135778304 --swap使用大小
}
},
"process" : {
"timestamp" : 1523769963476,
"open_file_descriptors" : 835, --打开的文件句柄数
"max_file_descriptors" : 102400, --最大文件句柄数
"cpu" : {
"percent" : 0,
"total_in_millis" : 269254050 --cpm使用时间
},
"mem" : {
"total_virtual_in_bytes" : 22376689664
}
},
"jvm" : { --jvm信息
"timestamp" : 1523769963478,
"uptime_in_millis" : 24396978180,
"mem" : {
"heap_used_in_bytes" : 1420965384, --堆使用大小
"heap_used_percent" : 34, --堆使用率
"heap_committed_in_bytes" : 4151836672,
"heap_max_in_bytes" : 4151836672, --堆总大小
"non_heap_used_in_bytes" : 62671016,
"non_heap_committed_in_bytes" : 63045632,
"pools" : {
"young" : { --新生代
"used_in_bytes" : 850822912,
"max_in_bytes" : 1145372672,
"peak_used_in_bytes" : 1145372672,
"peak_max_in_bytes" : 1145372672
},
"survivor" : { --幸存者区
"used_in_bytes" : 5660696,
"max_in_bytes" : 143130624,
"peak_used_in_bytes" : 96813656,
"peak_max_in_bytes" : 143130624
},
"old" : { --老年代
"used_in_bytes" : 564481776,
"max_in_bytes" : 2863333376,
"peak_used_in_bytes" : 564481776,
"peak_max_in_bytes" : 2863333376
}
}
},
"threads" : { --线程
"count" : 342, --线程总数
"peak_count" : 348 --峰值
},
"gc" : {
"collectors" : {
"young" : { --young gc
"collection_count" : 1718,
"collection_time_in_millis" : 49102
},
"old" : { --old gc
"collection_count" : 0,
"collection_time_in_millis" : 0
}
}
},
"buffer_pools" : {
"direct" : {
"count" : 494,
"used_in_bytes" : 70016422,
"total_capacity_in_bytes" : 70016422
},
"mapped" : {
"count" : 15,
"used_in_bytes" : 3549927,
"total_capacity_in_bytes" : 3549927
}
}
},
"thread_pool" : { --线程池情况
"bulk" : {
"threads" : 32,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 32,
"completed" : 287583
},
"fetch_shard_started" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 1,
"completed" : 1
},
"fetch_shard_store" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 10,
"completed" : 11
},
"flush" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 5,
"completed" : 4521
},
"force_merge" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 1,
"completed" : 1
},
"generic" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 20,
"completed" : 26875520
},
"get" : {
"threads" : 10,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 10,
"completed" : 10
},
"index" : {
"threads" : 23,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 23,
"completed" : 23
},
"listener" : {
"threads" : 10,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 10,
"completed" : 20150413
},
"management" : {
"threads" : 5,
"queue" : 0,
"active" : 1,
"rejected" : 0,
"largest" : 5,
"completed" : 1629062
},
"percolate" : {
"threads" : 0,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 0,
"completed" : 0
},
"refresh" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 10,
"completed" : 44804
},
"search" : { --查询
"threads" : 49, --查询线程数
"queue" : 0, --查询队列长度
"active" : 0, --正在处理的请求数
"rejected" : 0, --拒绝的查询请求数量：rejected 受threadpool.search.queue_size: 限制，如果处理能力达到了极限，poo满，就会拒绝。
"largest" : 49,
"completed" : 703061
},
"snapshot" : {
"threads" : 0,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 0,
"completed" : 0
},
"suggest" : {
"threads" : 0,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 0,
"completed" : 0
},
"warmer" : {
"threads" : 1,
"queue" : 0,
"active" : 0,
"rejected" : 0,
"largest" : 2,
"completed" : 5735
}
},
"fs" : { --文件系统
"timestamp" : 1523769963478,
"total" : {
"total_in_bytes" : 1647163199488, --文件系统总大小
"free_in_bytes" : 848772972544, --空闲大小
"available_in_bytes" : 765095141376,
"spins" : "true"
},
"data" : [ {
"path" : "/elasticsearch/2.4.2/node3/myapp/nodes/0",
"mount" : " (/dev/sda7)",
"type" : "ext4",
"total_in_bytes" : 1647163199488,
"free_in_bytes" : 848772972544,
"available_in_bytes" : 765095141376,
"spins" : "true"
} ]
},
"transport" : { --tcp信息
"server_open" : 91,
"rx_count" : 72012076,
"rx_size_in_bytes" : 9420555589,
"tx_count" : 72006544,
"tx_size_in_bytes" : 29520860012
},
"http" : { --http信息：如果你看到 total_opened 数很大而且还在一直上涨，这是一个明确信号，说明你的 HTTP 客户端里有没启用 keep-alive 长连接的。持续的 keep-alive 长连接对性能很重要，因为连接、断开套接字是很昂贵的（而且浪费文件描述符）。请确认你的客户端都配置正确。
"current_open" : 0,
"total_opened" : 0
},
"breakers" : { --断路器
"in_flight_requests" : {
"limit_size_in_bytes" : 4151836672,
"limit_size" : "3.8gb",
"estimated_size_in_bytes" : 123,
"estimated_size" : "123b",
"overhead" : 1.0,
"tripped" : 0
},
"fielddata" : {
"limit_size_in_bytes" : 2491102003,
"limit_size" : "2.3gb",
"estimated_size_in_bytes" : 0,
"estimated_size" : "0b",
"overhead" : 1.03,
"tripped" : 0
},
"request" : {
"limit_size_in_bytes" : 1660734668,
"limit_size" : "1.5gb",
"estimated_size_in_bytes" : 0,
"estimated_size" : "0b",
"overhead" : 1.0,
"tripped" : 0
},
"parent" : {
"limit_size_in_bytes" : 2906285670,
"limit_size" : "2.7gb",
"estimated_size_in_bytes" : 123,
"estimated_size" : "123b",
"overhead" : 1.0,
"tripped" : 0
}
},
"script" : {
"compilations" : 0,
"cache_evictions" : 0
}
},
其他节点（略） 。。。。。。
}
}
（三）索引
（1）查看索引库健康情况
命令： curl -X GET 'http://[host]:9200/_cluster/health/[indics_name]?pretty=true'
结果分析：
{
"cluster_name" : "test",
"status" : "green",
"timed_out" : false,
"number_of_nodes" : 3, --节点数
"number_of_data_nodes" : 3, --数据节点数
"active_primary_shards" : 5, --该索引主分片数
"active_shards" : 10, --活跃分片数
"relocating_shards" : 0,
"initializing_shards" : 0,
"unassigned_shards" : 0,
"delayed_unassigned_shards" : 0,
"number_of_pending_tasks" : 0,
"number_of_in_flight_fetch" : 0,
"task_max_waiting_in_queue_millis" : 0,
"active_shards_percent_as_number" : 100.0
}
（2）查看索引状态信息
命令：curl -X GET 'http://[host]:9200/[indics_name]/_stats?pretty=true'
结果分析：结果字段和集群状态，节点状态类似，只是限制到某个索引级别，不在赘述。
（3）查看索引settings,mappings
命令：curl -X GET 'http://10.168.100.151:9200/[indics_name]?pretty=true'
结果分析：
{
"testdb" : {
"aliases" : { },
"mappings" : {
"type" : {
"properties" : {
"id" : {
"type" : "string"
},
"key" : {
"type" : "string"
},
"value" : {
"type" : "string"
}
}
}
},
"settings" : {
"index" : {
"creation_date" : "1523604202297",
"uuid" : "nnEit2ITQBGI9vMO5N1M3w",
"number_of_replicas" : "1",
"number_of_shards" : "5",
"version" : {
"created" : "2040299"
}
}
},
"warmers" : { }
}
}
三 重启流程
摘自《Elasticsearch: 权威指南——滚动重启》:
步骤1：可能的话，停止索引新的数据。虽然不是每次都能真的做到，但是这一步可以帮助提高恢复速度。
步骤2：禁止分片分配。这一步阻止 Elasticsearch 再平衡缺失的分片，直到你告诉它可以进行了。如果你知道维护窗口会很短，这个主意棒极了。你可以像下面这样禁止分配：
curl -XPUT 'http://[host]:9200/_cluster/settings' -d '
{
"transient" : {
"cluster.routing.allocation.enable" : "none"
}
}'
步骤3：关闭单个节点。
步骤4：执行维护/升级。
步骤5：重启节点，然后确认它加入到集群了。
步骤6：用如下命令重启分片分配：
curl -XPUT 'http://[host]:9200/_cluster/settings' -d '
{
"transient" : {
"cluster.routing.allocation.enable" : "all"
}
}'
分片再平衡会花一些时间。一直等到集群变成 绿色 状态后再继续。
步骤7：重复第 2 到 6 步操作剩余节点。
步骤8：到这步你可以安全的恢复索引了（如果你之前停止了的话），不过等待集群完全均衡后再恢复索引，也会有助于提高处理速度。
四 参考