我是ELK的新手,我使用net.logstash.logback.appender.LogstashTcpSocketAppender尝试了使用springboot的ELK Stack。我发送了json消息到logstack。以下是我的配置 -
的logback-spring.xml
<configuration>
<include resource="org/springframework/boot/logging/logback/defaults.xml" />
<springProperty scope="context" name="springAppName" source="spring.application.name" />
<property name="LOG_FILE" value="./${springAppName}" />
<property name="CONSOLE_LOG_PATTERN"
value="%clr(%d{yyyy-MM-dd HH:mm:ss.SSS}){faint} %clr(${LOG_LEVEL_PATTERN:-%5p}) %clr(${PID:- }){magenta} %clr(---){faint} %clr([%15.15t]){faint} %clr(%-40.40logger{39}){cyan} %clr(:){faint} %m%n${LOG_EXCEPTION_CONVERSION_WORD:-%wEx}" />
<appender name="logstash2"
class="net.logstash.logback.appender.LogstashTcpSocketAppender">
<destination>localhost:5000</destination>
<encoder
class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
`
<providers>
<timestamp>
<timeZone>UTC</timeZone>
</timestamp>
<pattern>
<pattern>
{
"severity": "%level",
"service": "${springAppName:-}",
"trace": "%X{X-B3-TraceId:-}",
"span": "%X{X-B3-SpanId:-}",
"parent": "%X{X-B3-ParentSpanId:-}",
"exportable":
"%X{X-Span-Export:-}",
"pid": "${PID:-}",
"thread": "%thread",
"class": "%logger{40}",
"rest": "%message"
}
</pattern>
</pattern>
</providers>
</encoder>
<keepAliveDuration>5 minutes</keepAliveDuration>
</appender>
<root level="INFO">
<appender-ref ref="logstash" />
</root>
</configuration>
config.json
input{
tcp{
port=> 5000
host=> localhost
}
}
filter {
# pattern matching logback pattern
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span},%{DATA:exportable}\]\s+%{DATA:pid}\s+---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
}
}
output {
elasticsearch { hosts => ["localhost:9200"] }
}
但是当我打开kibana查看消息时,我将整个日志视为消息。 如下 -
有人可以帮助我实现以下输出 -
答案 0 :(得分:0)
您的过滤器块应如下所示:
config = tf.ConfigProto(device_count ={'GPU': 0})
sess = tf.Session(config=config)
我不明白你为什么不在输出块中使用索引命名?如果您有多个索引,则会遇到问题。添加类似的东西:
synonyms("complex")
function synonyms(me){
var url = 'https://api.datamuse.com/words?ml=' + me;
fetch(url).then(v => v.json()).then((function(v){
syn = JSON.stringify(v)
syn = JSON.parse(syn)
for(var k in syn){
document.body.innerHTML += "<span>"+syn[k].word+"</span> "
}
})
)
}