elasticsearch 核心的http api

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简介:

开篇

 作为一个elasticsearch的新手,我觉得elasticsearch的官网的文档归类清楚,作为新手很有必要多阅读几次,每次都能加深印象。这里作为个人理解进行一些简单的归类便于查阅。

 对于新手而言,熟悉各类能够掌握简单的操作包括:索引的创建删除查询,文档的增删改查、集群信息查询等。

  • Indices APIs:负责索引Index的创建(create)、删除(delete)、获取(get)、索引存在(exist)等操作。
  • Document APIs:负责索引文档的创建(index)、删除(delete)、获取(get)等操作。
  • Search APIs:负责索引文档的search(查询),Document APIS根据doc_id进行查询,Search APIs]根据条件查询。
  • Aggregations:负责针对索引的文档各维度的聚合(Aggregation)。
  • cat APIs:负责查询索引相关的各类信息查询。
  • Cluster APIs:负责集群相关的各类信息查询。

 提供一个操作的方法,就是本机搭建个es集群然后部署一个kibana,通过kibana熟悉http api就可以了,这篇文章就专注下cat和cluster相关的api。


cat APIs介绍

cat APIs

cat aliases

说明:
aliases 负责展示当前es集群配置别名包括filter和routing信息。

命令:
GET /_cat/aliases?v
GET /_cat/aliases/alias1,alias2

返回:
alias  index filter routing.index routing.search
alias1 test1 -      -            -
alias2 test1 *      -            -
alias3 test1 -      1            1
alias4 test1 -      2            1,2

cat allocation

说明:
allocation负责展示es的每个数据节点分配的索引分片以及使用的磁盘空间。

命令:
GET /_cat/allocation?v

返回值:
shards disk.indices disk.used disk.avail disk.total disk.percent host      ip        node
     5         260b    47.3gb     43.4gb    100.7gb           46 127.0.0.1 127.0.0.1 CSUXak2

cat count

说明:
count负责展示整个ES集群或者单个索引的文档数。

命令:
GET /_cat/count?v
GET /_cat/count/twitter?v

返回值:
epoch      timestamp count
1475868259 15:24:20  120

cat fielddata

说明:
fielddata负责展示ES集群每个数据节点中fileddata占用的堆内存。

命令:
GET /_cat/fielddata?v
GET /_cat/fielddata?v&fields=body
GET /_cat/fielddata/body,soul?v

返回值:
id                     host      ip        node    field   size
Nqk-6inXQq-OxUfOUI8jNQ 127.0.0.1 127.0.0.1 Nqk-6in body    544b
Nqk-6inXQq-OxUfOUI8jNQ 127.0.0.1 127.0.0.1 Nqk-6in soul    480b

cat health

说明:
health负责展示集群的健康状态

命令:
GET /_cat/health?v
GET /_cat/health?v&ts=false

返回值:
epoch      timestamp cluster       status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1475871424 16:17:04  elasticsearch green           1         1      5   5    0    0        0             0                  -                100.0%

cat indices

说明:
indices负责提供索引的相关信息,包括组成一个索引(index)的shard、document的数量,删除的doc数量,主存大小和所有索引的总存储大小。

命令:
GET /_cat/indices/twi*?v&s=index


返回值:
health status index    uuid                   pri rep docs.count docs.deleted store.size pri.store.size
yellow open   twitter  u8FNjxh8Rfy_awN11oDKYQ   1   1       1200            0     88.1kb         88.1kb
green  open   twitter2 nYFWZEO7TUiOjLQXBaYJpA   5   0          0            0       260b           260b

cat master

说明:
master负责展示es集群的master节点信息包括节点id、节点名、ip地址等。

命令:
GET /_cat/master?v

返回值:
id                     host      ip        node
YzWoH_2BT-6UjVGDyPdqYg 127.0.0.1 127.0.0.1 YzWoH_2

cat nodeattrs

说明:
nodeattrs负责展示通用的节点信息。

命令:
GET /_cat/nodeattrs?v

返回值:
node    host      ip        attr     value
node-0 127.0.0.1 127.0.0.1 testattr test

cat nodes

说明:
nodes负责展示es集群的拓扑信息。

命令:
GET /_cat/nodes?v

返回值:
ip        heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name
127.0.0.1           65          99  42    3.07                  mdi       *      mJw06l1

cat pending tasks

说明:
pending_tasks返回集群层面的未执行的任务列表包括创建索引,更新mapping,allocate分片信息。

命令:
GET /_cat/pending_tasks?v

返回值:
insertOrder timeInQueue priority source
       1685       855ms HIGH     update-mapping [foo][t]
       1686       843ms HIGH     update-mapping [foo][t]
       1693       753ms HIGH     refresh-mapping [foo][[t]]
       1688       816ms HIGH     update-mapping [foo][t]
       1689       802ms HIGH     update-mapping [foo][t]
       1690       787ms HIGH     update-mapping [foo][t]
       1691       773ms HIGH     update-mapping [foo][t]

cat plugins

说明:
plugins命令展示每个节点正在运行的插件信息。

命令:
GET /_cat/plugins?v&s=component&h=name,component,version,description

返回值:
name    component               version   description
U7321H6 analysis-icu            6.5.4 The ICU Analysis plugin integrates Lucene ICU module into elasticsearch, adding ICU relates analysis components.
U7321H6 analysis-kuromoji       6.5.4 The Japanese (kuromoji) Analysis plugin integrates Lucene kuromoji analysis module into elasticsearch.
U7321H6 analysis-nori           6.5.4 The Korean (nori) Analysis plugin integrates Lucene nori analysis module into elasticsearch.
U7321H6 analysis-phonetic       6.5.4 The Phonetic Analysis plugin integrates phonetic token filter analysis with elasticsearch.

cat recovery

说明:
recovery命令展示索引分片恢复,包括正在进行的和已经完成的任务。

命令:
GET _cat/recovery?v
GET _cat/recovery?v&h=i,s,t,ty,st,shost,thost,f,fp,b,bp

返回值:
index   shard time type  stage source_host source_node target_host target_node repository snapshot files files_recovered files_percent files_total bytes bytes_recovered bytes_percent bytes_total translog_ops translog_ops_recovered translog_ops_percent
twitter 0     13ms store done  n/a         n/a         127.0.0.1   node-0      n/a        n/a      0     0               100%          13          0     0               100%          9928        0            0                      100.0%

cat repositories

说明:
repositories命令展示在集群中注册的快照仓库。

命令:
GET /_cat/repositories?v
GET /_cat/thread_pool/generic?v&h=id,name,active,rejected,completed

返回值:
id    type
repo1   fs
repo2   s3

cat thread pool

说明:
thread_pool命令展示集群节点的线程池的统计信息,包括处于活跃、队列等待、拒绝的线程任务信息。

命令:
GET /_cat/thread_pool

返回值:
node-0 bulk                0 0 0
node-0 fetch_shard_started 0 0 0
node-0 fetch_shard_store   0 0 0
node-0 flush               0 0 0
node-0 force_merge         0 0 0
node-0 generic             0 0 0
node-0 get                 0 0 0
node-0 index               0 0 0
node-0 listener            0 0 0
node-0 management          1 0 0
node-0 refresh             0 0 0
node-0 search              0 0 0
node-0 snapshot            0 0 0
node-0 warmer              0 0 0

cat shards

说明:
shards命令展示每个节点包括哪些分片信息。

命令:
GET _cat/shards
GET _cat/shards/twitt*

返回值:
twitter 0 p STARTED 3014 31.1mb 192.168.56.10 H5dfFeA

cat segments

说明:
segments命令展示索引的segments的信息。 

命令:
GET /_cat/segments?v

返回值:
index shard prirep ip        segment generation docs.count docs.deleted size size.memory committed searchable version compound
test  3     p      127.0.0.1 _0               0          1            0  3kb        2042 false     true       7.1.0   true
test1 3     p      127.0.0.1 _0               0          1            0  3kb        2042 false     true       7.1.0   true

cat snapshots

说明:
snapshots命令展示属于某个指定快照仓库的所有快照信息。通过/_cat/repositories查找所有的仓库列表。

命令:
GET /_cat/snapshots/repo1?v&s=id

返回值:
id     status start_epoch start_time end_epoch  end_time duration indices successful_shards failed_shards total_shards
snap1  FAILED 1445616705  18:11:45   1445616978 18:16:18     4.6m       1                 4             1            5
snap2 SUCCESS 1445634298  23:04:58   1445634672 23:11:12     6.2m       2                10             0           10

cat templates

说明:
templates展示已存在的模板信息。

命令:
GET /_cat/templates?v&s=name

返回值:
name      index_patterns order version
template0 [te*]          0
template1 [tea*]         1
template2 [teak*]        2     7


Cluster APIs介绍

Cluster APIs
Cluster Health

说明:
health命令展示集群的健康状态,

命令:
GET _cluster/health
GET /_cluster/health/test1,test2

返回值:
{
  "cluster_name" : "testcluster",
  "status" : "yellow",
  "timed_out" : false,
  "number_of_nodes" : 1,
  "number_of_data_nodes" : 1,
  "active_primary_shards" : 5,
  "active_shards" : 5,
  "relocating_shards" : 0,
  "initializing_shards" : 0,
  "unassigned_shards" : 5,
  "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": 50.0
}

Cluster State

说明:
state命令展示集群详细的状态信息,
其中metrics指标包括version、master_node、nodes、routing_table、metadata、blocks。

命令:
GET /_cluster/state
GET /_cluster/state/{metrics}/{indices}
GET /_cluster/state/metadata,routing_table/foo,bar

返回值:
{
  "cluster_name": "my-application",
  "compressed_size_in_bytes": 847,
  "version": 10,
  "state_uuid": "DDWoFtm7TvCydbp8SKRQdw",
  "master_node": "YOIwJR1bTxG0iKHur_M-Rg"
}

Cluster Stats

说明:
Stats命令展示集群的多维度统计信息。
指标包括shard numbers, store size, memory usage、
number, roles, os, jvm versions, memory usage, cpu and installed plugins。

命令:
GET /_cluster/stats?human&pretty

返回值:
{
   "_nodes" : {
      "total" : 1,
      "successful" : 1,
      "failed" : 0
   },
   "cluster_name": "elasticsearch",
   "timestamp": 1459427693515,
   "status": "green",
   "indices": {
      "count": 1,
      "shards": {
         "total": 5,
         "primaries": 5,
         "replication": 0,
         "index": {
            "shards": {
               "min": 5,
               "max": 5,
               "avg": 5
            },
            "primaries": {
               "min": 5,
               "max": 5,
               "avg": 5
            },
            "replication": {
               "min": 0,
               "max": 0,
               "avg": 0
            }
         }
      },
      "docs": {
         "count": 10,
         "deleted": 0
      },
      "store": {
         "size": "16.2kb",
         "size_in_bytes": 16684
      },
      "fielddata": {
         "memory_size": "0b",
         "memory_size_in_bytes": 0,
         "evictions": 0
      },
      "query_cache": {
         "memory_size": "0b",
         "memory_size_in_bytes": 0,
         "total_count": 0,
         "hit_count": 0,
         "miss_count": 0,
         "cache_size": 0,
         "cache_count": 0,
         "evictions": 0
      },
      "completion": {
         "size": "0b",
         "size_in_bytes": 0
      },
      "segments": {
         "count": 4,
         "memory": "8.6kb",
         "memory_in_bytes": 8898,
         "terms_memory": "6.3kb",
         "terms_memory_in_bytes": 6522,
         "stored_fields_memory": "1.2kb",
         "stored_fields_memory_in_bytes": 1248,
         "term_vectors_memory": "0b",
         "term_vectors_memory_in_bytes": 0,
         "norms_memory": "384b",
         "norms_memory_in_bytes": 384,
         "points_memory" : "0b",
         "points_memory_in_bytes" : 0,
         "doc_values_memory": "744b",
         "doc_values_memory_in_bytes": 744,
         "index_writer_memory": "0b",
         "index_writer_memory_in_bytes": 0,
         "version_map_memory": "0b",
         "version_map_memory_in_bytes": 0,
         "fixed_bit_set": "0b",
         "fixed_bit_set_memory_in_bytes": 0,
         "max_unsafe_auto_id_timestamp" : -9223372036854775808,
         "file_sizes": {}
      }
   },
   "nodes": {
      "count": {
         "total": 1,
         "data": 1,
         "coordinating_only": 0,
         "master": 1,
         "ingest": 1
      },
      "versions": [
         "6.1.4"
      ],
      "os": {
         "available_processors": 8,
         "allocated_processors": 8,
         "names": [
            {
               "name": "Mac OS X",
               "count": 1
            }
         ],
         "mem" : {
            "total" : "16gb",
            "total_in_bytes" : 17179869184,
            "free" : "78.1mb",
            "free_in_bytes" : 81960960,
            "used" : "15.9gb",
            "used_in_bytes" : 17097908224,
            "free_percent" : 0,
            "used_percent" : 100
         }
      },
      "process": {
         "cpu": {
            "percent": 9
         },
         "open_file_descriptors": {
            "min": 268,
            "max": 268,
            "avg": 268
         }
      },
      "jvm": {
         "max_uptime": "13.7s",
         "max_uptime_in_millis": 13737,
         "versions": [
            {
               "version": "1.8.0_74",
               "vm_name": "Java HotSpot(TM) 64-Bit Server VM",
               "vm_version": "25.74-b02",
               "vm_vendor": "Oracle Corporation",
               "count": 1
            }
         ],
         "mem": {
            "heap_used": "57.5mb",
            "heap_used_in_bytes": 60312664,
            "heap_max": "989.8mb",
            "heap_max_in_bytes": 1037959168
         },
         "threads": 90
      },
      "fs": {
         "total": "200.6gb",
         "total_in_bytes": 215429193728,
         "free": "32.6gb",
         "free_in_bytes": 35064553472,
         "available": "32.4gb",
         "available_in_bytes": 34802409472
      },
      "plugins": [
        {
          "name": "analysis-icu",
          "version": "6.1.4",
          "description": "The ICU Analysis plugin integrates Lucene ICU module into elasticsearch, adding ICU relates analysis components.",
          "classname": "org.elasticsearch.plugin.analysis.icu.AnalysisICUPlugin",
          "has_native_controller": false
        },
        {
          "name": "ingest-geoip",
          "version": "6.1.4",
          "description": "Ingest processor that uses looksup geo data based on ip adresses using the Maxmind geo database",
          "classname": "org.elasticsearch.ingest.geoip.IngestGeoIpPlugin",
          "has_native_controller": false
        },
        {
          "name": "ingest-user-agent",
          "version": "6.1.4",
          "description": "Ingest processor that extracts information from a user agent",
          "classname": "org.elasticsearch.ingest.useragent.IngestUserAgentPlugin",
          "has_native_controller": false
        }
      ],
      "network_types" : {
         "transport_types" : {
            "netty4" : 1
         },
         "http_types" : {
            "netty4" : 1
         }
      }
   }
}

Pending cluster tasks

说明:
pending_tasks返回集群级别的未执行的任务,
包括创建索引,、更新mapping、 分配分片等。

命令:
ET /_cluster/pending_tasks

返回值:
{
   "tasks": [
      {
         "insert_order": 101,
         "priority": "URGENT",
         "source": "create-index [foo_9], cause [api]",
         "time_in_queue_millis": 86,
         "time_in_queue": "86ms"
      },
      {
         "insert_order": 46,
         "priority": "HIGH",
         "source": "shard-started ([foo_2][1], node[tMTocMvQQgGCkj7QDHl3OA], [P], s[INITIALIZING]), reason [after recovery from shard_store]",
         "time_in_queue_millis": 842,
         "time_in_queue": "842ms"
      },
      {
         "insert_order": 45,
         "priority": "HIGH",
         "source": "shard-started ([foo_2][0], node[tMTocMvQQgGCkj7QDHl3OA], [P], s[INITIALIZING]), reason [after recovery from shard_store]",
         "time_in_queue_millis": 858,
         "time_in_queue": "858ms"
      }
  ]
}

Cluster Reroute

说明:
reroute命令允许我们人工的重新分配集群中的索引分片。
move:移动分片
cancel:取消分片分配
allocate_replica:分配副本

命令:
POST /_cluster/reroute
{
    "commands" : [
        {
            "move" : {
                "index" : "test", "shard" : 0,
                "from_node" : "node1", "to_node" : "node2"
            }
        },
        {
          "allocate_replica" : {
                "index" : "test", "shard" : 1,
                "node" : "node3"
          }
        }
    ]
}

Cluster Update Settings

说明:
更新集群的配置信息并返回执行更新完成的配置。

命令:
PUT /_cluster/settings
{
    "persistent" : {
        "indices.recovery.max_bytes_per_sec" : "50mb"
    }
}

PUT /_cluster/settings?flat_settings=true
{
    "transient" : {
        "indices.recovery.max_bytes_per_sec" : "20mb"
    }
}

返回值:
{
    ...
    "persistent" : { },
    "transient" : {
        "indices.recovery.max_bytes_per_sec" : "20mb"
    }
}

Nodes Stats

说明:
_nodes/stats 展示集群中指定节点或所有节点的统计信息。

命令:
GET /_nodes/stats
GET /_nodes/nodeId1,nodeId2/stats

返回值:
{
  "_nodes": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "cluster_name": "my-application",
  "nodes": {
    "YOIwJR1bTxG0iKHur_M-Rg": {
      "timestamp": 1545564028595,
      "name": "node-2",
      "transport_address": "127.0.0.1:9300",
      "host": "127.0.0.1",
      "ip": "127.0.0.1:9300",
      "roles": [
        "master",
        "data",
        "ingest"
      ],
      "os": {
        "timestamp": 1545564028595,
        "cpu": {
          "percent": 12,
          "load_average": {
            "1m": 1.7255859375
          }
        },
        "mem": {
          "total_in_bytes": 8589934592,
          "free_in_bytes": 305328128,
          "used_in_bytes": 8284606464,
          "free_percent": 4,
          "used_percent": 96
        },
        "swap": {
          "total_in_bytes": 2147483648,
          "free_in_bytes": 1657012224,
          "used_in_bytes": 490471424
        }
      }
    }
  }
}

Nodes Info

说明:
_nodes展示集群中每个节点的信息。

命令:
GET /_nodes
GET /_nodes/nodeId1,nodeId2
指标包括settings, os, process, jvm, thread_pool, transport, http, plugins, ingest,indices

返回值:
{
  "_nodes": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "cluster_name": "my-application",
  "nodes": {
    "YOIwJR1bTxG0iKHur_M-Rg": {
      "name": "node-2",
      "transport_address": "127.0.0.1:9300",
      "host": "127.0.0.1",
      "ip": "127.0.0.1",
      "version": "6.1.0",
      "build_hash": "c0c1ba0",
      "roles": [
        "master",
        "data",
        "ingest"
      ],
      "os": {
        "refresh_interval_in_millis": 1000,
        "name": "Mac OS X",
        "arch": "x86_64",
        "version": "10.14.2",
        "available_processors": 4,
        "allocated_processors": 4
      }
    }
  }
}

Nodes Feature Usage

说明:
_nodes/usage展示集群各个节点各类服务调用次数

命令:
GET _nodes/usage
GET _nodes/nodeId1,nodeId2/usage

返回值:
{
  "_nodes": {
    "total": 1,
    "successful": 1,
    "failed": 0
  },
  "cluster_name": "my_cluster",
  "nodes": {
    "pQHNt5rXTTWNvUgOrdynKg": {
      "timestamp": 1492553961812, 
      "since": 1492553906606, 
      "rest_actions": {
        "org.elasticsearch.rest.action.admin.cluster.RestNodesUsageAction": 1,
        "org.elasticsearch.rest.action.admin.indices.RestCreateIndexAction": 1,
        "org.elasticsearch.rest.action.document.RestGetAction": 1,
        "org.elasticsearch.rest.action.search.RestSearchAction": 19, 
        "org.elasticsearch.rest.action.admin.cluster.RestNodesInfoAction": 36
      }
    }
  }
}

Remote Cluster Info

说明:
返回集群的连接信息。

命令:
GET /_remote/info

Nodes hot_threads

说明:
_nodes/hot_threads展示集群节点的热点线程信息。

命令:
GET /_nodes/hot_threads
GET /_nodes/{nodesIds}/hot_threads.

返回值:
::: {node-2}{YOIwJR1bTxG0iKHur_M-Rg}{UmVpL8zQTUa1tu6TtOhpyQ}{127.0.0.1}{127.0.0.1:9300}
   Hot threads at 2018-12-23T12:22:24.368Z, interval=500ms, busiestThreads=3, ignoreIdleThreads=true:

Cluster Allocation Explain API

说明:
用于解释分片没有被分配的原因

命令:
GET /_cluster/allocation/explain
{
  "index": "myindex",
  "shard": 0,
  "primary": true
}

返回值:
{
  "index" : "idx",
  "shard" : 0,
  "primary" : true,
  "current_state" : "unassigned",                 
  "unassigned_info" : {
    "reason" : "INDEX_CREATED",                   
    "at" : "2017-01-04T18:08:16.600Z",
    "last_allocation_status" : "no"
  },
  "can_allocate" : "no",                          
  "allocate_explanation" : "cannot allocate because allocation is not permitted to any of the nodes",
  "node_allocation_decisions" : [
    {
      "node_id" : "8qt2rY-pT6KNZB3-hGfLnw",
      "node_name" : "node-0",
      "transport_address" : "127.0.0.1:9401",
      "node_attributes" : {},
      "node_decision" : "no",                     
      "weight_ranking" : 1,
      "deciders" : [
        {
          "decider" : "filter",                   
          "decision" : "NO",
          "explanation" : "node does not match index setting [index.routing.allocation.include] filters [_name:\"non_existent_node\"]"  
        }
      ]
    }
  ]
}
相关实践学习
使用阿里云Elasticsearch体验信息检索加速
通过创建登录阿里云Elasticsearch集群,使用DataWorks将MySQL数据同步至Elasticsearch,体验多条件检索效果,简单展示数据同步和信息检索加速的过程和操作。
ElasticSearch 入门精讲
ElasticSearch是一个开源的、基于Lucene的、分布式、高扩展、高实时的搜索与数据分析引擎。根据DB-Engines的排名显示,Elasticsearch是最受欢迎的企业搜索引擎,其次是Apache Solr(也是基于Lucene)。 ElasticSearch的实现原理主要分为以下几个步骤: 用户将数据提交到Elastic Search 数据库中 通过分词控制器去将对应的语句分词,将其权重和分词结果一并存入数据 当用户搜索数据时候,再根据权重将结果排名、打分 将返回结果呈现给用户 Elasticsearch可以用于搜索各种文档。它提供可扩展的搜索,具有接近实时的搜索,并支持多租户。
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