Dynatrace按服务名称提取每个服务的请求计数(成功，4xx，5xx)
Dynatrace按服务名称提取每个服务的请求计数(成功，4xx，5xx)
提问于 2022-02-23 11:38:04
我试图提取请求计数请求计数(成功，4xx，5xx)的每个web服务在我的项目。我尝试了下面的查询，但它并没有给出我的期望。
builtin:service.requestCount.total度量密钥
https://www.dynatrace.xx.com/e/12345-6539-4ea3-aab8-a9985ae713d4/api/v2/metrics/query?metricSelector=builtin:service.requestCount.total&entitySelector=type(SERVICE)&from=now-6h&resolution=3w&api-token=<token_name>
builtin:service.keyRequest.total.count度量密钥
https://www.dynatrace.xx.com/e/1234-6539-4ea3-aab8-a9985ae713d4/api/v2/metrics/query?metricSelector=builtin:service.keyRequest.total.count&entitySelector=type(SERVICE)&from=now-6h&resolution=3w&api-token=<token_name>
在多维分析图表中，我可以正确地看到计数。
有人能帮我处理API查询吗?在这里，我可以将服务名称作为请求中的参数传递，并获得与该服务请求关联的请求计数。
编辑:请为查询找到下面的API响应
> {
> "totalCount": 2,
> "nextPageKey": null,
> "resolution": "3m",
> "result": [
> {
> "metricId": "builtin:service.requestCount.total:filter(and(in(\"dt.entity.service\",entitySelector(\"type(service),entityName(~\"ControllerName~\")\")))):splitBy(\"dt.entity.service\"):avg:auto:sort(value(avg,descending)):limit(100)",
> "data": [
> {
> "dimensions": [
> "SERVICE-376AE4987839A1D7"
> ],
> "dimensionMap": {
> "dt.entity.service": "SERVICE-376AE4987839A1D7"
> },
> "timestamps": [
> 1645673400000,
> 1645673580000,
> 1645673760000,
> 1645673940000,
> 1645674120000,
> 1645674300000,
> 1645674480000,
> 1645674660000,
> 1645674840000,
> 1645675020000,
> 1645675200000,
> 1645675380000,
> 1645675560000,
> 1645675740000,
> 1645675920000,
> 1645676100000,
> 1645676280000,
> 1645676460000,
> 1645676640000,
> 1645676820000,
> 1645677000000,
> 1645677180000,
> 1645677360000,
> 1645677540000,
> 1645677720000,
> 1645677900000,
> 1645678080000,
> 1645678260000,
> 1645678440000,
> 1645678620000,
> 1645678800000,
> 1645678980000,
> 1645679160000,
> 1645679340000,
> 1645679520000,
> 1645679700000,
> 1645679880000,
> 1645680060000,
> 1645680240000,
> 1645680420000,
> 1645680600000,
> 1645680780000,
> 1645680960000,
> 1645681140000,
> 1645681320000,
> 1645681500000,
> 1645681680000,
> 1645681860000,
> 1645682040000,
> 1645682220000,
> 1645682400000,
> 1645682580000,
> 1645682760000,
> 1645682940000,
> 1645683120000,
> 1645683300000,
> 1645683480000,
> 1645683660000,
> 1645683840000,
> 1645684020000,
> 1645684200000,
> 1645684380000,
> 1645684560000,
> 1645684740000,
> 1645684920000,
> 1645685100000,
> 1645685280000,
> 1645685460000,
> 1645685640000,
> 1645685820000,
> 1645686000000,
> 1645686180000,
> 1645686360000,
> 1645686540000,
> 1645686720000,
> 1645686900000,
> 1645687080000,
> 1645687260000,
> 1645687440000,
> 1645687620000,
> 1645687800000,
> 1645687980000,
> 1645688160000,
> 1645688340000,
> 1645688520000,
> 1645688700000,
> 1645688880000,
> 1645689060000,
> 1645689240000,
> 1645689420000,
> 1645689600000,
> 1645689780000,
> 1645689960000,
> 1645690140000,
> 1645690320000,
> 1645690500000,
> 1645690680000,
> 1645690860000,
> 1645691040000,
> 1645691220000,
> 1645691400000,
> 1645691580000,
> 1645691760000,
> 1645691940000,
> 1645692120000,
> 1645692300000,
> 1645692480000,
> 1645692660000,
> 1645692840000,
> 1645693020000,
> 1645693200000,
> 1645693380000,
> 1645693560000,
> 1645693740000,
> 1645693920000,
> 1645694100000,
> 1645694280000,
> 1645694460000,
> 1645694640000,
> 1645694820000,
> 1645695000000
> ],
> "values": [
> 6,
> null,
> null,
> 1,
> 1,
> null,
> null,
> 2,
> null,
> null,
> 2,
> null,
> null,
> 2,
> 1,
> null,
> null,
> 5,
> 1,
> 4,
> 1,
> 2,
> 6,
> 2,
> 5,
> 7,
> 1,
> 3,
> 3,
> 4,
> null,
> 5,
> 9,
> 8,
> 3,
> 3,
> 4,
> null,
> 3,
> 1,
> 2,
> 3,
> 1,
> 5,
> 2,
> 5,
> null,
> 1,
> 4,
> 1,
> null,
> 2,
> 2,
> 1,
> 1,
> 2,
> 1,
> null,
> 1,
> null,
> null,
> 5,
> 1,
> null,
> null,
> 1,
> 1,
> 4,
> 1,
> null,
> null,
> 2,
> 3,
> null,
> null,
> 2,
> null,
> null,
> 2,
> null,
> 1,
> null,
> 2,
> 2,
> null,
> 2,
> 7,
> 1,
> 1,
> null,
> null,
> 1,
> 1,
> 1,
> 4,
> null,
> null,
> 1,
> null,
> null,
> null,
> 4,
> null,
> 1,
> null,
> 1,
> null,
> null,
> 1,
> null,
> null,
> 5,
> 2,
> 6,
> 5,
> null,
> null,
> 3,
> 2,
> 3,
> null
> ]
> },
> {
> "dimensions": [
> "SERVICE-BC7B97C170AF3FD6"
> ],
> "dimensionMap": {
> "dt.entity.service": "SERVICE-BC7B97C170AF3FD6"
> },
> "timestamps": [
> 1645673400000,
> 1645673580000,
> 1645673760000,
> 1645673940000,
> 1645674120000,
> 1645674300000,
> 1645674480000,
> 1645674660000,
> 1645674840000,
> 1645675020000,
> 1645675200000,
> 1645675380000,
> 1645675560000,
> 1645675740000,
> 1645675920000,
> 1645676100000,
> 1645676280000,
> 1645676460000,
> 1645676640000,
> 1645676820000,
> 1645677000000,
> 1645677180000,
> 1645677360000,
> 1645677540000,
> 1645677720000,
> 1645677900000,
> 1645678080000,
> 1645678260000,
> 1645678440000,
> 1645678620000,
> 1645678800000,
> 1645678980000,
> 1645679160000,
> 1645679340000,
> 1645679520000,
> 1645679700000,
> 1645679880000,
> 1645680060000,
> 1645680240000,
> 1645680420000,
> 1645680600000,
> 1645680780000,
> 1645680960000,
> 1645681140000,
> 1645681320000,
> 1645681500000,
> 1645681680000,
> 1645681860000,
> 1645682040000,
> 1645682220000,
> 1645682400000,
> 1645682580000,
> 1645682760000,
> 1645682940000,
> 1645683120000,
> 1645683300000,
> 1645683480000,
> 1645683660000,
> 1645683840000,
> 1645684020000,
> 1645684200000,
> 1645684380000,
> 1645684560000,
> 1645684740000,
> 1645684920000,
> 1645685100000,
> 1645685280000,
> 1645685460000,
> 1645685640000,
> 1645685820000,
> 1645686000000,
> 1645686180000,
> 1645686360000,
> 1645686540000,
> 1645686720000,
> 1645686900000,
> 1645687080000,
> 1645687260000,
> 1645687440000,
> 1645687620000,
> 1645687800000,
> 1645687980000,
> 1645688160000,
> 1645688340000,
> 1645688520000,
> 1645688700000,
> 1645688880000,
> 1645689060000,
> 1645689240000,
> 1645689420000,
> 1645689600000,
> 1645689780000,
> 1645689960000,
> 1645690140000,
> 1645690320000,
> 1645690500000,
> 1645690680000,
> 1645690860000,
> 1645691040000,
> 1645691220000,
> 1645691400000,
> 1645691580000,
> 1645691760000,
> 1645691940000,
> 1645692120000,
> 1645692300000,
> 1645692480000,
> 1645692660000,
> 1645692840000,
> 1645693020000,
> 1645693200000,
> 1645693380000,
> 1645693560000,
> 1645693740000,
> 1645693920000,
> 1645694100000,
> 1645694280000,
> 1645694460000,
> 1645694640000,
> 1645694820000,
> 1645695000000
> ],
> "values": [
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> 1,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
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> null,
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> null,
> 1,
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> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> null,
> 1,
> null,
> null,
> null,
> null
> ]
> }
> ]
> }
> ] }回答 2
Stack Overflow用户
发布于 2022-02-24 07:40:42
度量有一个维度service，即您可以通过服务名称上的filter过滤特定的服务。
您可以在UI中构建、测试和细化查询：
然后使用选项卡Code查看您也可以在REST中使用的度量选择器：
Stack Overflow用户
发布于 2022-11-12 08:18:10
我不知道你是否终于搞清楚了，但是
builtin:service.keyRequest.total.count它的响应是一个数组，包含基于时间戳的每个点，类似于dynatrace图。为了得到总金额，您需要执行一些操作：
builtin:service.keyRequest.total.count:fold(sum)使用fold:(sum)，只响应一个值(您使用的是添加操作)。
像中位数、平均值、máximum这样的常见数据操作也同样有效-dynatrace称它们为聚合；查看文档。
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/71236231
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