无法使用已解析的字段在 kibana 上可视化数据
Can't use parsed fields to visualize data on kibana
我是 ELK 方面的新手。我一直在尝试使用此堆栈创建可视化效果,但我无法使用 verb、response、[=25 等字段=]request, etc, 我只能select a few available fields:
但是,在“发现”部分,我完全能够使用这些字段。这是我的查询结果之一的示例:
(我正在使用 Kibana 4.4.2,filebeat 转发到 logstash 2.2.3)
{
"_index": "filebeat-2016.04.12",
"_type": "apache_log",
"_id": "AVQMoRFwO5HM5nz1lmXf",
"_score": null,
"_source": {
"message": "187.142.15.173 - - [12/Apr/2016:16:39:23 -0600] \"GET /v1.0/person/297312123/client/1132347/profile HTTP/1.1\" 200 2051 \"-\" \"Android CEX 2.2.0\"",
"@version": "1",
"@timestamp": "2016-04-12T22:39:27.064Z",
"beat": {
"hostname": "myhost",
"name": "myhost"
},
"count": 1,
"fields": null,
"input_type": "log",
"offset": 30034512,
"source": "/var/log/httpd/access_log",
"type": "apache_log",
"host": "myhost",
"tags": [
"beats_input_codec_plain_applied"
],
"clientip": "187.142.15.173",
"ident": "-",
"auth": "-",
"timestamp": "12/Apr/2016:16:39:23 -0600",
"verb": "GET",
"request": "/v1.0/person/297312123/client/1132347/profile",
"httpversion": "1.1",
"response": "200",
"bytes": "2051",
"referrer": "\"-\"",
"agent": "\"Android CEX 2.2.0\"",
},
"fields": {
"@timestamp": [
1460500767064
]
},
"sort": [
1460500767064
]
}
这可能有什么问题?
这是我的配置文件:
filter {
if [type] == "syslog" {
grok {
match => { "message" =>
"%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}"
}
add_field => [ "received_at", "%{@timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
syslog_pri { }
date {
match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
}
}
if [type] == "apache_log" {
grok {
# match => [ "message", "%{COMBINEDAPACHELOG}" ]
# match => { "message" => "%{COMBINEDAPACHELOG}" }
# add_field => [ "received_at", "%{@timestamp}" ]
# add_field => [ "received_from", "%{host}" ]
match => [ "message", "%{COMBINEDAPACHELOG}" ]
}
#syslog_pri { }
#date {
# match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
#}
}
}
提前致谢!
我首先想到的是 kibana 字段缓存。转到“设置”->“索引”,select 您的索引,然后单击橙色的“重新加载”按钮。
我是 ELK 方面的新手。我一直在尝试使用此堆栈创建可视化效果,但我无法使用 verb、response、[=25 等字段=]request, etc, 我只能select a few available fields:
但是,在“发现”部分,我完全能够使用这些字段。这是我的查询结果之一的示例:
(我正在使用 Kibana 4.4.2,filebeat 转发到 logstash 2.2.3)
{
"_index": "filebeat-2016.04.12",
"_type": "apache_log",
"_id": "AVQMoRFwO5HM5nz1lmXf",
"_score": null,
"_source": {
"message": "187.142.15.173 - - [12/Apr/2016:16:39:23 -0600] \"GET /v1.0/person/297312123/client/1132347/profile HTTP/1.1\" 200 2051 \"-\" \"Android CEX 2.2.0\"",
"@version": "1",
"@timestamp": "2016-04-12T22:39:27.064Z",
"beat": {
"hostname": "myhost",
"name": "myhost"
},
"count": 1,
"fields": null,
"input_type": "log",
"offset": 30034512,
"source": "/var/log/httpd/access_log",
"type": "apache_log",
"host": "myhost",
"tags": [
"beats_input_codec_plain_applied"
],
"clientip": "187.142.15.173",
"ident": "-",
"auth": "-",
"timestamp": "12/Apr/2016:16:39:23 -0600",
"verb": "GET",
"request": "/v1.0/person/297312123/client/1132347/profile",
"httpversion": "1.1",
"response": "200",
"bytes": "2051",
"referrer": "\"-\"",
"agent": "\"Android CEX 2.2.0\"",
},
"fields": {
"@timestamp": [
1460500767064
]
},
"sort": [
1460500767064
]
}
这可能有什么问题?
这是我的配置文件:
filter {
if [type] == "syslog" {
grok {
match => { "message" =>
"%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}"
}
add_field => [ "received_at", "%{@timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
syslog_pri { }
date {
match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
}
}
if [type] == "apache_log" {
grok {
# match => [ "message", "%{COMBINEDAPACHELOG}" ]
# match => { "message" => "%{COMBINEDAPACHELOG}" }
# add_field => [ "received_at", "%{@timestamp}" ]
# add_field => [ "received_from", "%{host}" ]
match => [ "message", "%{COMBINEDAPACHELOG}" ]
}
#syslog_pri { }
#date {
# match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
#}
}
}
提前致谢!
我首先想到的是 kibana 字段缓存。转到“设置”->“索引”,select 您的索引,然后单击橙色的“重新加载”按钮。