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JMeter 日志的 ElasticSearch Kibana 仪表板分析

转载 作者:行者123 更新时间:2023-12-02 22:51:35 25 4
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我有一个来自 JMeter 的日志文件,其中包含以下列。

timeStamp ,elapsed ,label, responseCode, responseMessage,threadName,dataType,success,failureMessage,bytes,grpThreads,allThreads,Latency,SampleCount,ErrorCount,Hostname

我已经能够在 Kibana 上生成一个图表,它给了我耗时。

但我一直无法搜索延迟。

直方图设置中是否有任何地方可以选择要在时间戳和延迟或时间戳和错误计数之间绘制图表?

此外,我在 JMeter 中的时间戳定义为“jmeter.save.saveservice.timestamp_format=yyyy-MM-dd'T'HH:mm:ss.SSSZ”

但我在 ElasticSearch 中遇到错误

[2014-11-05 16:22:54,816][DEBUG][action.search.type       ] [Contrary] [shakespeare][2], node[S7Xyo1rSRGq6gzC9HtsCsg], [P], s[STARTED]: Failed to execute [org.elasticsearch.action.search.SearchRequest@453beee2] lastShard [true]
org.elasticsearch.search.SearchParseException: [shakespeare][2]: from[-1],size[-1]: Parse Failure [Failed to parse source [{"facets":{"0":{"date_histogram":{"field":"@timestamp","interval":"1s"},"global":true,"facet_filter":{"fquery":{"query":{"filtered":{"query":{"query_string":{"query":"*"}},"filter":{"bool":{"must":[{"range":{"@timestamp":{"from":1415141574791,"to":1415184774791}}}]}}}}}}}},"size":20,"query":{"filtered":{"query":{"query_string":{"query":"Latency"}},"filter":{"bool":{"must":[{"range":{"@timestamp":{"from":1415141574791,"to":1415184774791}}}]}}}},"sort":[{"_score":{"order":"desc","ignore_unmapped":true}},{"@timestamp":{"order":"desc","ignore_unmapped":true}}]}]]

有什么办法可以解决这个错误吗?

谢谢,

最佳答案

不会直接回答您的问题,但会提供我们将 jmeter 结果导入 logstash 的方式

JmeterLog 示例:
时间戳,经过,标签,响应代码,响应消息,线程名称,字节,grpThreads,所有线程,URL,延迟
2014-11-05 09:43:56,13742,1 加载推文提要内容,200,OK,线程组 1-964,4557,33,33,http://activity.flux.com/api/ActivityService/FindActivities2?cmId=12C6FFFF01DCE0D90002FFFFC612&cnId=12C6FFFF01DCE0D9001B01F459C3&dSCF=true&aFF=Twitter&mR=20&iT=true&iR=true&pAT=CommentContent&_t=1392986211131&skipCache=true&callback=FCA8AD20E&product=load_testing&productLocation=load_testing,13742

Logstash 解析过滤器

  #Load Test data
if [LogSeverityType] == "LoadTest" {
if [Message] =~ "^time" {drop {}}
grok{
match => ["Message","%{TIMESTAMP_ISO8601:log_timestamp},%{NUMBER:elapsed},%{DATA:label},%{NUMBER:responseCode},%{DATA:responseMessage},%{DATA:threadName},%{NUMBER:bytes},%{NUMBER:grpThreads},%{NUMBER:allThreads},%{DATA:URL},%{NUMBER:Latency}"]
}
mutate {
convert => [ "Latency", "integer" ]
convert => [ "elapsed", "integer" ]
convert => [ "grpThreads", "integer" ]
convert => [ "allThreads", "integer" ]
convert => [ "responseCode", "integer" ]
convert => [ "bytes", "integer" ]
}
date {
match => [ "log_timestamp", "YYYY-MM-dd HH:mm:ss", "ISO8601" ]
timezone => "Etc/UCT"
}
}

关于JMeter 日志的 ElasticSearch Kibana 仪表板分析,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/26755717/

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