Kibana 基础应用-Elastic Stack 实战手册

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简介: Kibana 基础应用

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创作人:郭海亮
审稿人:杨振涛

查看样例数据

登录 Kibana

浏览器输入:http://localhost:5601

地址格式为:http://kibana地址:kibana所使用的端口,均为在 kibana.yml 配置文件中定义的。

1.png

导入样例数据

2.png

3.png

查看样例数据

4.png

在左上方选择样例数据的索引,右上方选择需要查询的时间范围,即可看到我们需要的数据,如下:

5.png

默认会展示所有字段,当然,也可以在左侧栏选择需要展示的字段,如下:

6.png

这些数据也可以以表或者以JSON形式展示,如下:

7.png

8.png

将鼠标移动到某个字段上,会出现上下的箭头,此时便可以根据箭头进行排序,如下:

9.png

查看样例数据图表

10.png

11.png

这是系统内置的一些数据图表方便我们快速了解 Kibana。

12.png

开发工具 Dev Tools

Dev Tools 是 Kibana 中最常用的功能,点击导航栏 -> Management -> 开发工具即可使用。

13.png

点击控制台 -> 设置,可以看到一些字体、换行等设置。

14.png

15.png

点击 Grok Debugger 可以进行一些正则调试,与 Logstash 结合解析日志。

16.png

基础查询

更加详细的查询语法参考: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl.html

查看集群支持的选项

GET _cat

返回

=^.^=
/_cat/allocation
/_cat/shards
/_cat/shards/{index}
/_cat/master
/_cat/nodes
/_cat/tasks
/_cat/indices
/_cat/indices/{index}
/_cat/segments
/_cat/segments/{index}
/_cat/count
/_cat/count/{index}
/_cat/recovery
/_cat/recovery/{index}
/_cat/health
/_cat/pending_tasks
/_cat/aliases
/_cat/aliases/{alias}
/_cat/thread_pool
/_cat/thread_pool/{thread_pools}
/_cat/plugins
/_cat/fielddata
/_cat/fielddata/{fields}
/_cat/nodeattrs
/_cat/repositories
/_cat/snapshots/{repository}
/_cat/templates
/_cat/ml/anomaly_detectors
/_cat/ml/anomaly_detectors/{job_id}
/_cat/ml/trained_models
/_cat/ml/trained_models/{model_id}
/_cat/ml/datafeeds
/_cat/ml/datafeeds/{datafeed_id}
/_cat/ml/data_frame/analytics
/_cat/ml/data_frame/analytics/{id}
/_cat/transforms
/_cat/transforms/{transform_id}

查看节点信息

GET _cat/nodes?v

返回

ip        heap.percent ram.percent cpu load_1m load_5m load_15m node.role  master name
10.0.0.38           51          99  14    0.12    0.14     0.21 cdhilmrstw -      1619503017001957332
10.0.0.32           47          99   9    0.70    0.28     0.26 cdhilmrstw -      1619503017001957532
10.0.0.41           54          99  14    2.53    1.02     0.66 cdhilmrstw *      1619503017001957432

查看 Master 节点信息

GET _cat/master?v

返回

id                     host      ip        node
V_EuhAkbTS6T80mN3KX0XQ 10.0.0.41 10.0.0.41 1619503017001957432

查看所有节点上的热点线程

GET _nodes/hot_threads

返回

::: {1619503017001957332}{26XvIqLSRlC2hEJ7-kAPUw}{9ytH1jFvTxWT8XHKILnWGg}{10.0.0.38}{10.0.0.38:9300}{cdhilmrstw}{ml.machine_memory=1959018496, rack=cvm_33_330001, xpack.installed=true, set=330001, transform.node=true, ip=9.27.21.20, temperature=hot, ml.max_open_jobs=20, region=33}
   Hot threads at 2021-05-05T12:44:05.242Z, interval=500ms, busiestThreads=3, ignoreIdleThreads=true:

::: {1619503017001957532}{Chd-cONFTwOTtZ5H-SdnpQ}{UgtOpFLURSa-Otaq5ECJnQ}{10.0.0.32}{10.0.0.32:9300}{cdhilmrstw}{ml.machine_memory=1959018496, rack=cvm_33_330001, xpack.installed=true, set=330001, transform.node=true, ip=9.27.19.91, temperature=hot, ml.max_open_jobs=20, region=33}
   Hot threads at 2021-05-05T12:44:05.266Z, interval=500ms, busiestThreads=3, ignoreIdleThreads=true:

::: {1619503017001957432}{V_EuhAkbTS6T80mN3KX0XQ}{VIcWTj5ERsmG_mY5jZSWtg}{10.0.0.41}{10.0.0.41:9300}{cdhilmrstw}{ml.machine_memory=1959018496, rack=cvm_33_330001, xpack.installed=true, set=330001, transform.node=true, ip=9.27.16.243, temperature=hot, ml.max_open_jobs=20, region=33}
   Hot threads at 2021-05-05T12:44:05.390Z, interval=500ms, busiestThreads=3, ignoreIdleThreads=true:

查看不健康的分片或索引

GET _cluster/allocation/explain?pretty

返回

{
  "error" : {
    "root_cause" : [
      {
        "type" : "illegal_argument_exception",
        "reason" : "unable to find any unassigned shards to explain [ClusterAllocationExplainRequest[useAnyUnassignedShard=true,includeYesDecisions?=false]"
      }
    ],
    "type" : "illegal_argument_exception",
    "reason" : "unable to find any unassigned shards to explain [ClusterAllocationExplainRequest[useAnyUnassignedShard=true,includeYesDecisions?=false]"
  },
  "status" : 400
}

查看线程池设置

GET _nodes/thread_pool/

返回

{
  "_nodes" : {
    "total" : 3,
    "successful" : 3,
    "failed" : 0
  },
  "cluster_name" : "es-gcudgkos",
  "nodes" : {
    "Chd-cONFTwOTtZ5H-SdnpQ" : {
      "name" : "1619503017001957532",
      "transport_address" : "10.0.0.32:9300",
      "host" : "10.0.0.32",
      "ip" : "10.0.0.32",
      "version" : "7.10.1",
      "build_flavor" : "default",
      "build_type" : "tar",
      "build_hash" : "27aa98ee709dc860b4bec3994b44ba2e6c8dd73d",
      "roles" : [
        "data",
        "data_cold",
        "data_content",
        "data_hot",
        "data_warm",
        "ingest",
        "master",
        "ml",
        "remote_cluster_client",
        "transform"
      ],
......

查看集群全部信息

GET _cluster/stats?human&pretty

返回

{
  "_nodes" : {
    "total" : 3,
    "successful" : 3,
    "failed" : 0
  },
  "cluster_name" : "es-gcudgkos",
  "cluster_uuid" : "UhtpZp9lScapLQIbid4gbw",
  "timestamp" : 1620218697400,
  "status" : "green",
  "indices" : {
    "count" : 29,
    "shards" : {
      "total" : 58,
      "primaries" : 29,
      "replication" : 1.0,
      "index" : {
        "shards" : {
          "min" : 2,
          "max" : 2,
          "avg" : 2.0
        },
        "primaries" : {
          "min" : 1,
          "max" : 1,
          "avg" : 1.0
        },
        "replication" : {
          "min" : 1.0,
          "max" : 1.0,
          "avg" : 1.0
        }
      }
    },
......

查看集群状态

GET _cluster/health?pretty

返回

{
  "cluster_name" : "es-gcudgkos",
  "status" : "green",
  "timed_out" : false,
  "number_of_nodes" : 3,
  "number_of_data_nodes" : 3,
  "active_primary_shards" : 29,
  "active_shards" : 58,
  "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
}

获取所有索引的信息

GET _cat/indices?v&pretty

返回

health status index                             uuid                   pri rep docs.count docs.deleted store.size pri.store.size
green  open   .monitoring-kibana-7-2021.05.05   6q8JfbKET9WHaIm7cr2psg   1   1      18384            0      8.2mb          3.2mb
green  open   .monitoring-kibana-7-2021.05.04   mZpqpa90R22C3PSvpv_CnA   1   1      34556            0     10.3mb          5.1mb
green  open   .monitoring-kibana-7-2021.04.30   W2FAgGZ5TASJHYnoT5ofvg   1   1      34558            0     10.5mb          5.2mb
green  open   .items-default-000001             Se5hFqb7ThiiNbx8MMNQ3g   1   1          0            0       416b           208b
green  open   .monitoring-kibana-7-2021.05.03   mRH2eYPUTjOTWk0745d0Sw   1   1      34560            0     10.3mb          5.1mb
green  open   .monitoring-kibana-7-2021.05.02   G2_RTwVGRyii0pK9YPzp6w   1   1      34556            0     10.3mb          5.1mb
green  open   .monitoring-kibana-7-2021.05.01   GXj_YZZkSaWezvKDMJBTGA   1   1      34560            0     10.4mb          5.2mb
green  open   .apm-custom-link                  b3aD6BJ_TNOTEeDj6i6oDQ   1   1          0            0       416b           208b
green  open   .kibana_task_manager_1            IwHXIHnOSN6PJNN_kpvWLg   1   1          6         3516      3.5mb        578.2kb
green  open   logs-index_pattern_placeholder    XR4BMRsgQzWgTX8-oXez-A   1   1          0            0       416b           208b
green  open   .monitoring-es-7-2021.04.29       NK-SLq7BSVaDUTmIl8rQcw   1   1      36357            0     46.1mb         20.7mb
green  open   .monitoring-kibana-7-2021.04.29   k7IXameTQIygrqKo6jz31w   1   1      34560            0     10.5mb          5.2mb
green  open   .lists-default-000001             6mx7-p1xSVef1uBunLAGgw   1   1          0            0       416b           208b
green  open   .apm-agent-configuration          XxPQmjjfRQu_Qdl2jwZHxg   1   1          0            0       416b           208b
green  open   .kibana_1                         xXlKVyfsSbSFY2ygRaalRw   1   1        140           61      8.9mb          4.4mb
green  open   .monitoring-es-7-2021.04.30       ULyYh6fTRdOBAUfvyKK2Kw   1   1      38994            0     43.4mb         21.7mb
green  open   .security-7                       2rEeUg0vT8a6cQv18v73LA   1   1         46            0    306.9kb          106kb
green  open   .monitoring-es-7-2021.05.01       RrtO4Wp7Taad93D4awHNJg   1   1      41977            0     46.7mb         23.3mb
green  open   wfe                               1UlifJS6Rsu4O8fVxaElGg   1   1       1085            1     16.5mb          8.2mb
green  open   .kibana-event-log-7.10.1-000001   ny0H9LiiQPuI8AH9zcPkfg   1   1          4            0     23.6kb         11.8kb
green  open   metrics-index_pattern_placeholder GQWH2XCFSq2gbIqGwgL_XA   1   1          0            0       416b           208b
green  open   kibana_sample_data_logs           COoX4096S0az6IzJ6Mo7MA   1   1      14074            0     18.9mb          9.4mb
green  open   .async-search                     NsGrHYxWRK-C0iLvZ7THQQ   1   1          0            0      7.2kb          3.6kb
green  open   .monitoring-es-7-2021.05.03       xnk57_D-SSeqyW6kwpuSgw   1   1      47673            0     53.2mb         26.6mb
green  open   .monitoring-es-7-2021.05.02       Jii6AjJbTOmbBpT-zbM5RA   1   1      44778            0     50.2mb           25mb
green  open   .monitoring-es-7-2021.05.05       YtJgJS-tRSq39a18-oLLyQ   1   1      27816        44548     37.4mb         18.9mb
green  open   .monitoring-es-7-2021.05.04       j3UnA4odSlOLgT3AlAZMAQ   1   1      52027            0     55.8mb         27.8mb

查看集群状态

  • green:所有功能完好;
  • yellow:数据是可用的,但存在未被分配的副本;
  • red:集群中存在不可用的数据;
GET _cat/health?v

返回

epoch      timestamp cluster     status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1620218868 12:47:48  es-gcudgkos green           3         3     58  29    0    0        0             0                  -                100.0%

创建索引 test

  • test:索引名;
  • pretty:输出格式良好的JSON响应;
PUT test?pretty

返回

{
  "acknowledged" : true,
  "shards_acknowledged" : true,
  "index" : "test"
}

查看 test 索引

GET test

返回

{
  "test" : {
    "aliases" : { },
    "mappings" : {
      "dynamic_templates" : [
        {
          "message_full" : {
            "match" : "message_full",
            "mapping" : {
              "fields" : {
                "keyword" : {
                  "ignore_above" : 2048,
                  "type" : "keyword"
                }
              },
              "type" : "text"
            }
          }
        },
        {
          "message" : {
            "match" : "message",
            "mapping" : {
              "type" : "text"
            }
          }
        },
        {
          "strings" : {
            "match_mapping_type" : "string",
            "mapping" : {
              "type" : "keyword"
            }
          }
        }
      ]
    },
    "settings" : {
      "index" : {
        "routing" : {
          "allocation" : {
            "include" : {
              "_tier_preference" : "data_content"
            }
          }
        },
        "refresh_interval" : "10s",
        "number_of_shards" : "1",
        "translog" : {
          "sync_interval" : "5s",
          "durability" : "async"
        },
        "provided_name" : "test",
        "max_result_window" : "65536",
        "creation_date" : "1620218910183",
        "unassigned" : {
          "node_left" : {
            "delayed_timeout" : "5m"
          }
        },
        "number_of_replicas" : "1",
        "uuid" : "Xshcy1IyRemznHzcv3Focw",
        "version" : {
          "created" : "7100199"
        }
      }
    }
  }
}

判断索引 test 是否存在

HEAD test

返回

200 - OK

打开索引 test

POST test/_open

返回

{
  "acknowledged" : true,
  "shards_acknowledged" : true,
  "indices" : {
    "test" : {
      "closed" : true
    }
  }
}

关闭索引 test

POST test/_close

返回

{
  "acknowledged" : true,
  "shards_acknowledged" : false,
  "indices" : { }
}

查看索引 test 状态

GET test/_stats

返回

{
  "_shards" : {
    "total" : 2,
    "successful" : 2,
    "failed" : 0
  },
  "_all" : {
    "primaries" : {
      "docs" : {
        "count" : 0,
        "deleted" : 0
      },
      "store" : {
        "size_in_bytes" : 230,
        "reserved_in_bytes" : 0
      },
      "indexing" : {
        "index_total" : 0,
        "index_time_in_millis" : 0,
        "index_current" : 0,
        "index_failed" : 0,
        "delete_total" : 0,
        "delete_time_in_millis" : 0,
        "delete_current" : 0,
        "noop_update_total" : 0,
        "is_throttled" : false,
        "throttle_time_in_millis" : 0
      },
......

删除索引 test

  • 根据索引名称删除
DELETE test?pretty
  • 可以一次删除多个索引(以逗号间隔)删除所有索引 _all 或通配符 *

查看索引模板

GET _template                          #查看所有索引摸板
GET _template/temp*                    #查看以temp开头的索引模板
GET _template/template_1,template_2    #查看template_1和template_2索引摸板
GET _template/template_name            #查看名称为template_name的索引摸板

删除索引模板

DELETE _template/template_name

返回

Grok Debugger 调试

更多模式参考: http://grokdebug.herokuapp.com/patterns

例一

input

[2020-04-03T16:51:35,918] [DEBUG] [o.e.a.a.c.n.i.TransportNodesInfoAction] [data02-131-211] failed to execute on node [08GhVGGgRCqUE3qAdXf04g] org.elasticsearch.transport.NodeNotConnectedException: [master01-34.5][172.16.34.5:9300] Node not connected

pattern

(?<date>\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2},\d{3})\] \[(?<loglevel>[A-Z \s]{4,5})] \[(?<service>[A-Za-z0-9/.]{4,40})\] \[(?<node>[A-Za-z0-9/-]{4,40})\] (?<msg>.*)

result

{
  "date": [
    [
      "2020-04-03T16:51:35,918"
    ]
  ],
  "loglevel": [
    [
      "DEBUG"
    ]
  ],
  "service": [
    [
      "o.e.a.a.c.n.i.TransportNodesInfoAction"
    ]
  ],
  "node": [
    [
      "data02-131-211"
    ]
  ],
  "msg": [
    [
      "failed to execute on node [08GhVGGgRCqUE3qAdXf04g] org.elasticsearch.transport.NodeNotConnectedException: [master01-34.5][172.16.34.5:9300] Node not connected"
    ]
  ]
}

例二

input

[2020-04-03 09:04:20,446][INFO][Thread-16][c.h.jobhandler.ELKTestJobHandlervds.6665][ELKTestJobHandler.java : 32][elkTestJobHandler: 普通日志输出测试]

pattern

(?<date>\d{4}-\d{2}-\d{2}\s\d{2}:\d{2}:\d{2},\d{3})\]\[(?<loglevel>[A-Z]{4,5})\]\[(?<thread>[A-Za-z0-9-/-]{4,40})\]\[(?<class>[A-Za-z0-9/.]{4,40})\]\[(?<msg>.*)

result

{
  "date": [
    [
      "2020-04-03 09:04:20,446"
    ]
  ],
  "loglevel": [
    [
      "INFO"
    ]
  ],
  "thread": [
    [
      "Thread-16"
    ]
  ],
  "class": [
    [
      "c.h.jobhandler.ELKTestJobHandlervds.6665"
    ]
  ],
  "msg": [
    [
      "ELKTestJobHandler.java : 32][elkTestJobHandler: 普通日志输出测试]"
    ]
  ]
}

例三

input

2018/05/01 16:16:01.892 - OK - 759.2ms - 172.29.1.7:35184[485388]->172.7.1.39:3306[1525162561129639717]:<DB>:select count(*) from test[];

pattern

(?<date>\d{4}/\d{2}/\d{2}\s(?<datetime>%{TIME}))\s-\s(?<status>\w{2})\s-\s(?<respond_time>\d+)\.\d+\w{2}\s-\s%{IP:client}:(?<client-port>\d+)\[\d+\]->%{IP:server}:(?<server-port>\d+).*:(?<databases><\w+>):(?<SQL>.*)

result

{
  "date": [
    [
      "2018/05/01 16:16:01.892"
    ]
  ],
  "datetime": [
    [
      "16:16:01.892"
    ]
  ],
  "TIME": [
    [
      "16:16:01.892"
    ]
  ],
  "HOUR": [
    [
      "16"
    ]
  ],
  "MINUTE": [
    [
      "16"
    ]
  ],
  "SECOND": [
    [
      "01.892"
    ]
  ],
  "status": [
    [
      "OK"
    ]
  ],
  "respond_time": [
    [
      "759"
    ]
  ],
  "client": [
    [
      "172.29.1.7"
    ]
  ],
  "IPV6": [
    [
      null,
      null
    ]
  ],
  "IPV4": [
    [
      "172.29.1.7",
      "172.7.1.39"
    ]
  ],
  "client-port": [
    [
      "35184"
    ]
  ],
  "server": [
    [
      "172.7.1.39"
    ]
  ],
  "server-port": [
    [
      "3306"
    ]
  ],
  "databases": [
    [
      "<DB>"
    ]
  ],
  "SQL": [
    [
      "select count(*) from test[];"
    ]
  ]
}

作图

以 Nginx 日志为例,插入数据,生产环境中可以通过 Beats 收集到 Elasticsearch 再作图

插入 Nginx 日志测试数据

在 Kibana 的开发工具中执行

POST nginx-access-logs/_bulk
{"index":{"_id":"1"}}
{"log_time":"2020-06-30T18:05:03+08:00","client_ip":"115.159.116.79","method":"POST","http_code":"200","size":"66","usersip":"119.85.16.64, 115.159.116.79","request_uri":"http://qdweb.zksf.com/xfjr-zfb/PhoneQry.do","req_time":"0.016","user_ua":"Mozilla/5.0 (iPhone; CPU iPhone OS 12_3_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.4(0x17000428) NetType/4G Language/zh_CN"}
{"index":{"_id":"2"}}
{"log_time":"2020-06-30T18:05:04+08:00","client_ip":"123.206.205.161","method":"GET","http_code":"200","size":"11133","usersip":"117.136.84.181, 123.206.205.161","request_uri":"http://qdweb.zksf.com/static/wx/dist/htmls/applyCardMoneySuc/mod.js","req_time":"0.000","user_ua":"Mozilla/5.0 (Linux; Android 8.0.0; SM-G9550 Build/R16NW; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/66.0.3359.126 MQQBrowser/6.2 TBS/044704 Mobile Safari/537.36 MMWEBID/1866 MicroMessenger/7.0.4.1420(0x2700043C) Process/tools NetType/4G Language/zh_CN"}
{"index":{"_id":"3"}}
{"log_time":"2020-06-30T18:05:06+08:00","client_ip":"123.206.107.139","method":"POST","http_code":"200","size":"3887","usersip":"117.136.44.137, 123.206.107.139","request_uri":"http://qdweb.zksf.com/xfjr-zfb/custLoanInfoQry.do","req_time":"0.028","user_ua":"Mozilla/5.0 (Linux; Android 8.1.0; PACM00 Build/O11019; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/66.0.3359.126 MQQBrowser/6.2 TBS/044705 Mobile Safari/537.36 MMWEBID/908 MicroMessenger/7.0.4.1420(0x2700043C) Process/tools NetType/4G Language/zh_CN"}
{"index":{"_id":"4"}}
{"log_time":"2020-06-30T18:05:06+08:00","client_ip":"115.159.93.78","method":"POST","http_code":"200","size":"86","usersip":"218.26.54.246, 115.159.93.78","request_uri":"http://qdweb.zksf.com/xfjr-zfb/LoanAntiFraudQry.do","req_time":"0.022","user_ua":"Mozilla/5.0 (Linux; Android 8.1.0; vivo X21A Build/OPM1.171019.011; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/66.0.3359.126 MQQBrowser/6.2 TBS/044705 Mobile Safari/537.36 MicroMessenger/6.7.2.1340(0x260702C5) NetType/4G Language/zh_CN"}
{"index":{"_id":"5"}}
{"log_time":"2020-06-30T18:05:31+08:00","client_ip":"123.206.205.161","method":"POST","http_code":"200","size":"110","usersip":"117.84.191.27, 123.206.205.161","request_uri":"http://qdweb.zksf.com/xfjr-zfb/WeixinForOpenId.do","req_time":"0.154","user_ua":"Mozilla/5.0 (iPhone; CPU iPhone OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.4(0x17000428) NetType/WIFI Language/zh_CN"}
{"index":{"_id":"6"}}
{"log_time":"2020-06-30T18:05:32+08:00","client_ip":"123.206.205.161","method":"GET","http_code":"400","size":"2119","usersip":"117.84.191.27, 123.206.205.161","request_uri":"http://qdweb.zksf.com/static/wx/dist/htmls/applyCardMoney/applyCardMoney.html","req_time":"0.000","user_ua":"Mozilla/5.0 (iPhone; CPU iPhone OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.4(0x17000428) NetType/WIFI Language/zh_CN"}
{"index":{"_id":"7"}}
{"log_time":"2020-06-30T18:05:32+08:00","client_ip":"123.206.205.161","method":"POST","http_code":"302","size":"150","usersip":"117.84.191.27, 123.206.205.161","request_uri":"http://qdweb.zksf.com/xfjr-zfb/LoginStatusQry.do","req_time":"0.014","user_ua":"Mozilla/5.0 (iPhone; CPU iPhone OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.4(0x17000428) NetType/WIFI Language/zh_CN"}
{"index":{"_id":"8"}}
{"log_time":"2020-06-30T18:05:32+08:00","client_ip":"111.231.53.89","method":"POST","http_code":"200","size":"174","usersip":"117.136.67.251, 111.231.53.89","request_uri":"http://qdweb.zksf.com/xfjr-zfb/AntiFraudResultQry.do","req_time":"0.027","user_ua":"Mozilla/5.0 (Linux; Android 8.1.0; vivo Y83A Build/O11019; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/66.0.3359.126 MQQBrowser/6.2 TBS/044705 Mobile Safari/537.36 MMWEBID/2371 MicroMessenger/7.0.4.1420(0x2700043C) Process/tools NetType/4G Language/zh_CN"}
{"index":{"_id":"9"}}
{"log_time":"2020-06-30T18:05:32+08:00","client_ip":"123.206.205.161","method":"GET","http_code":"200","size":"1306","usersip":"117.84.191.27, 123.206.205.161","request_uri":"http://qdweb.zksf.com/static/wx/dist/images/emApprove.png","req_time":"0.000","user_ua":"Mozilla/5.0 (iPhone; CPU iPhone OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.4(0x17000428) NetType/WIFI Language/zh_CN"}
{"index":{"_id":"10"}}
{"log_time":"2020-06-30T18:05:32+08:00","client_ip":"122.152.197.50","method":"POST","http_code":"200","size":"110","usersip":"60.119.37.213, 122.152.197.50","request_uri":"http://qdweb.zksf.com/xfjr-zfb/CheckNotice.do","req_time":"0.015","user_ua":"Mozilla/5.0 (iPhone; CPU iPhone OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 MicroMessenger/7.0.4(0x17000428) NetType/WIFI Language/zh_CN"}

返回

{
  "took" : 612,
  "errors" : false,
  "items" : [
    {
      "index" : {
        "_index" : "nginx-access-logs",
        "_type" : "_doc",
        "_id" : "1",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 2,
          "failed" : 0
        },
        "_seq_no" : 0,
        "_primary_term" : 1,
        "status" : 201
      }
    },
  
    {
      "index" : {
        "_index" : "nginx-access-logs",
        "_type" : "_doc",
        "_id" : "6",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 2,
          "failed" : 0
        },
        "_seq_no" : 5,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
      "index" : {
        "_index" : "nginx-access-logs",
        "_type" : "_doc",
        "_id" : "7",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 2,
          "failed" : 0
        },
        "_seq_no" : 6,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
      "index" : {
        "_index" : "nginx-access-logs",
        "_type" : "_doc",
        "_id" : "8",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 2,
          "failed" : 0
        },
        "_seq_no" : 7,
        "_primary_term" : 1,
        "status" : 201
      }
    },
   ......
  ]
}

创建索引

导航 -> Kibana -> Management -> Stack Management -> Index patterns(索引模式)-> Create index patterns(创建索引模式)-> nginx-access-logs -> Next step(下一步) -> log_time -> Create index patterns(创建索引模式)

17.png

18.png

19.png

20.png

21.png

查看索引字段

22.png

23.png

根据 Nginx 日志作图

状态码

导航 -> Kibana -> Visualize -> Create visualization(创建可视化)

24.png

Create visualization(创建可视化)

25.png

Select a visualization type(选择可视化类型)-> Pie(饼图)

26.png

Choose a source(选择数据源)-> nginx-access-logs

27.png

Data(数据)-> Metrics(指标)-> Slice size(切片大小)-> Aggregation(聚合)->Count(计数)-> Custom label(定指标签)-> 状态码

28.png

Buckets(存储桶)-> Add(添加)

29.png

Split slices(拆分切片)

30.png

Aggregation(聚合)-> Terms(词)-> Field(字段)-> http_code -> Update(更新)

31.png

Save(保存)

32.png

状态码 -> 保存

33.png

流量

导航 -> Kibana -> Visualize -> Create visualization(创建可视化)-> Select a visualization type(选择可视化类型)-> Area(面积图)-> Choose a source(选择数据源)-> nginx-access-logs -> Data(数据)-> Y-axis(Y轴)-> Aggregation(聚合)-> Count(计数)-> Custom label(定指标签)-> 流量 -> Buckets(存储桶)-> Add(添加)-> X-axis(X轴)-> Aggregation(聚合)-> Date Histogram-> Field(字段)-> log_time -> Minimum interval(最小时间间隔)-> Second(秒)-> Custom label(每秒流量)-> Update(更新)-> Save(保存)-> 网络流量

34.png

客户端 IP

导航 -> Kibana -> Visualize -> Create visualization(创建可视化)-> Select a visualization type(选择可视化类型)-> Data Table(数据表)-> Choose a source(选择数据源)-> nginx-access-logs -> Data(数据)-> Metrics(指标)-> Aggregation(聚合)-> Count(计数)-> Custom label(定指标签)-> 访问次数 -> Buckets(存储桶)-> Add(添加)-> Split rows(拆分行)->Aggregation(聚合)-> Terms(词)-> Field(字段)-> client_ip -> Custom label(客户端IP)-> Update(更新)-> Save(保存)-> 客户端访问Top

35.png

创建 Dashboard

导航 -> Kibana -> Dashboard(仪表盘)

36.png

Create dashboard(创建仪表盘)

37.png

Add an existing(添加现有)

38.png

点击前面创建的图表

39.png

选择时间段,由于是假数据,直接选择 Last 1 year

40.png

点击保存

41.png

输入要保存的名称 nginx-access-logs 后点击保存

42.png

重新回到仪表盘,然后点击上面我们保存的 nginx-access-logs 名称就能看到这个仪表盘了。

43.png

44.png

Kibana Lens 可视化

导航 -> Kibana -> Visualize -> Create visualization(创建可视化)

45.png

Create visualization(创建可视化)

46.png

Select a visualization type(选择可视化类型)-> Lens 可视化

47.png

选择索引 nginx-access-logs -> 选择时间 Last 1 year

48.png

拖动字段http_code到中间

49.png

会自动根据此字段生成图表

50.png

可以选择下方不同的图表进行展示

52.png

53.png

54.png

55.png

也可以在下拉菜单中选择不同的图像

56.png

图表也会根据查询动态变化,比如要查询 http_code 的值为 200,图标就会变化为下图这样

57.png

还可以选择图例展示的位置

58.png

59.png

保存

60.png

61.png

KQL 查询

一般查询

查询 http_code 的值为 302 的数据

http_code : 302

62.png

条件运算符查询

查询 http_code 的值是大于等于 400 的数据

http_code > = 400(代码格式会乱,正确的是> =中间没有空格)

63.png

64.png

逻辑运算符查询

查询 http_code 的值为大于 200 并且 method 的值是 POST 的数据

http_code > 200 and method : POST

65.png

查询 http_code 的值为大于 200 或者 method 的值是 GET 的数据

http_code > 200 or method : GET

66.png

通配符

查询某个字段的值存在的数据,存在则返回数据,不存在则返回为空

size: *

67.png

name: *

68.png

创作人简介:
郭海亮,落魄的运维搬砖人,工作近四年,爱折腾,对 k8s、Jenkins、Prometheus
等云原生技术有浓厚的兴趣,日拱一卒。
博客: https://github.com/ghl1024
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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