: PromQL表达 … logger.debug(','.format(params)) 400 Bad Requestwhen parameters are missing or incorrect. for timestamp, values in time_series.items(): In about a half day this number grew 0.45 Bil. 2019-01-15 16:10:00,1.4900129837500724,1.4548672362502657,2.3264455262498513,2.7998607379167124 借助IBM中国研究院的创新成果,以及IBM全球实验室众多环境及能源专家的支持,2014年7月...Copyright © 2013 - 2020 Tencent Cloud. PromQL 表达式计算出来的值有以下几种类型: (it's taking more than 1 min),Some of differences between the two systems I observed are -.Prod is running 1.8.2 version of Prometheus, staging is running 2.1.0 ‘end’ with a relative time.‘start’ would align the steps to the start of the time range.‘end’ would align the steps to the end of the time range.Entering time quantity would shift the step alignment by that amount of time relative to selected timezone. # 行に時間の列を追加 2019-01-15 16:40:00,1.6692312762499266,1.7964510670833533,2.264148609108464,2.300661640484626 It does make sense that maybe they should be smarter than just the 'From' and 'To' times of the dashboard but it seems clear to me that this isn't quite right.I can see that maybe sliding the "step alignment" along with dashboard 'To' and 'From' times may not be optimal but I really should be able to slide it exactly 4 hours to return data aligned with my local timezone 24hr day. writer.writeheader() There's a query, a start time, an end time, and a step. for value in result[',']: Swapping out our Syntax Highlighter.How does the highlight.js change affect Stack Overflow specifically?Congratulations to EdChum for 100,000 close reviews!Prometheus rate functions and interval selections,What is the maximum scrape_interval in Prometheus,Prometheus histograms and averaging sets with NaN values included,prometheus / monitor docker container performance,Relabel instance to hostname in Prometheus.Do I understand Prometheus's rate vs increase functions correctly?Handling prometheus counters while ignoring resets,Don't show data from redeployed pod in Grafana using promQL,Functions which are periodic along every geodesic.What is better: to have a modal open instantly and then load its contents, or to load its contents and then open it?Is a US (New York) police officer allowed to take your keys at a traffic stop?Work done in assembling a point charge is infinite.Do native speakers use the phrase "set channels"?Why does exhaust flow inwards through a radial turbocharger?How plausible is it for nuclear power to be invented but not nuclear weapons?How can I get material property data past what's provided via ElementData[], ChemicalData[], etc. Prometheus 查询语言 [TOC] Prometheus 查询语言. Ot… And rate(prometheus_local_storage_ingested_samples_total[5m]) is about 9.6K. Qiita can be used more conveniently after logging in.You seem to be reading articles frequently this month. It really seems like a huge bug on prometheus's side if it can't "return stable results" for a query like:But it does seem like it can, and should. Is the the same if you take that query back in time to like 01May?Problem is that the step alignment is done on the UTC epoch seconds.I don't know exactly how grafana determines what to choose for those 'start' and 'end' timestamps. # [1547535600, ','], 2019-01-16 15:00:00,1.4205530700000204,1.450829464166835,2.229421241249838,2.6200906879167483 Though as I showed with the absolute ranges above I can't really test it from grafana.if I specify a dashboard time range that starts may 26 01:00:00 Grafana sends this as the start param.So it correctly sends the start time for me.But I can replicate your problem with 24h min step now. try: # response = requests.get(url, verify=False, headers=headers, params=params) # 指定のNamespaceの、指定のintervalで算出したPod毎のCPU使用率を取得する except KeyError: (省略),'%(asctime)s %(name)-12s %(levelname)-8s %(message)s',', result_str) # # pprint.pprint(results) with open(filepath, ',') as csv_file: "status": "success", # timestampを辞書のキーにすることで同じtimestampのデータをまとめる { response.raise_for_status() 503 Service Unavailablewhen queries time out or abort. This would be used places where I want data by work shift. # 時刻毎のデータの辞書を用意する 出力先のファイル名を指定します # 意味のない部分を取り除いて中のリストを取り出す var date = new Date(0); Would the query performance improve when we move to Prometheus 2.1.0?That's getting into profiling, which is possible but tricky to do with metrics.Thanks for contributing an answer to Stack Overflow!By clicking “Post Your Answer”, you agree to our.To subscribe to this RSS feed, copy and paste this URL into your RSS reader.site design / logo © 2020 Stack Exchange Inc; user contributions licensed under,Stack Overflow works best with JavaScript enabled,Where developers & technologists share private knowledge with coworkers,Programming & related technical career opportunities,Recruit tech talent & build your employer brand,Reach developers & technologists worldwide.Well, for the total number of samples I was looking at the value of prometheus_local_storage_ingested_samples_total which is at 9.75 Bil as of now. "data": { Every successful API request returns a 2xxstatus code. On production, some of the prometheus queries are timing out when queried via Grafana. --step STEP データポイントの間隔(秒)を指定します,timestamp,infra-test-nodeport-cust-1,infra-test-nodeport2-cus-1,infra-test-nodeport2-cus-0,infra-test-nodeport-cust-0 # リクエストを実行 First shift is 5-13, 2nd shift is 13-21, and 3rd shift is 21-5.Yet another case is where I want a single data point per week. When I specify a time range of "Today" the time range sent to Prometheus is correct with a from (02:00 UTC+2), if I specify an absolute time range with From 00:00 it is also correct as it sends a 02:00 UTC+2 .The "Today" and Yesterday ranges do not change when swithcing to UTC due to this bug.The query inspector shows that it is indeed sending a timestamp for UTC midnight.You mean the time range or the response? What happened: Bar chart where each bar is intended to be a daily total are offset by my timezone. 2019-01-16 15:50:00,1.0475173487499962,1.2800040254167773,1.750940527916403,2.7946370483334704 access_token = (match.group(2)) }, For example {{hostname}} is replaced with the label value for the label hostname. 2019-01-15 16:00:00,1.7765650066665255,1.5227466104164478,2.4642478804166026,2.7171226995831903 GH Page地址 Prometheus有两种query:instant query、range query。 本文要讲的就是 range query 中的 step 参数 。 range query 是非常常见的一种 query ,看看它有哪些 参数 : query =: PromQL表 … At 10k/5m that's 33/s which would take about 9 years to reach 9.3B samples. # {','}, The time range is always sent in UTC second epocs, but when converted to your local time should match what you expect.It seems like those 'start' and 'end' are set to be multiples of the step time (24h)? So I don't know what's best. time_series = collections.defaultdict(dict) --end END データの終了時間を指定します(例)20190102-1000 -f FILENAME, --filename FILENAME 3. Legend format: Controls the name of the time series, using name or pattern. For learning, it might be easier tostart with a couple of examples. for pod_name in pod_names: # pprint.pprint(response.json()) # レスポンスは以下のようなデータ 2019-01-16 15:10:00,1.207286078750182,1.4032802437501837,1.8004293182339135,2.120460568511992 --interval INTERVAL CPU使用率計算に使用するデータの間隔を指定します(例)1h、5m The query range endpoint isn't magic, in fact it is quite dumb. Selecting "Local Browser time" and 'default' seem to be the same.Selecting a dashboard timezone 'UTC' basically doesn't change the query sent out to prometheus. fieldnames.extend(pod_names) time_series[value[0]][pod_name] = value[1] The query range endpoint isn't magic, in fact it is quite dumb. logger.debug(','.format(access_token)) Still not large.I think the main question is why the queries are taking more than 1 min. PodのCPU使用率をcsvに出力します。 2. PromQL 语法 1.1 数据类型. For example {{hostname}} is replaced with the label value for the label hostname. 腾讯云 版权所有,对于[start, end]时间区间,从start开始,以step为长度,把时间区间分成若干段,从该段的timestamp(含)往前找,取第一个找到的data point的值。如果有一个data point的timestamp==该段的timestamp,则直接使用该data point。,如果该段timestamp往前的5分钟范围内没有找到任何data point,则该段无值。. # {1547464889.632: {','}, # valuesにこのPodのデータがないときはKeyErrorが発生するので空データを入れる # 辞書から時間毎のデータを取り出してループする ...判断是SSL证书有问题,但证书状态完全正常,小程序后台的安全域名也添加的没问题,最后解决办法是:换了一家SSL证书,并重启Nginx,咱们一般写mapreduce是通过java和streaming来写的,身为pythoner的我,.1.IBM拓展“绿色地平线”计划 支持中国“生态文明建设”之路 [--interval INTERVAL] [--start START] [--end END] What does this mean for the future of AI, edge…,Hot Meta Posts: Allow for removal by moderators, and thoughts about future…,Goodbye, Prettify. Pneu Michelin Poids Lourds,
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2019-01-16 15:40:00,1.4557575473232511,1.2478161367336864,1.8957547083334705,2.535229864166316 Day-shift starts at 0700 and night-shift takes over at 21:00.Or another facility runs three shifts. 注意到上图中的Res框里没有给值,没有给的话Prometheus会自动给一个值,这个值在图示右上角可以看到。,Prometheus在对每段Instant vector selector求值的逻辑是这样的:,图中的绿点是Prometheus实际存储的数据,按照时间轴从左到右排列。蓝点是根据step参数的求值结果。,大家都知道Grafana都是用来画图的,比如下面这张图Y轴是值,X轴则是时间线,因此在X轴方向的每个像素都代表了一个timestamp。,本文首发在云栖社区,遵循云栖社区版权声明:本文内容由互联网用户自发贡献,版权归用户作者所有,云栖社区不为本文内容承担相关法律责任。云栖社区已在2020年6月升级到阿里云开发者社区。如果您发现有涉嫌抄袭的内容,请填写,对于[start, end]时间区间,从start开始,以step为长度,把时间区间分成若干段,从该段的timestamp(含)往前找,取第一个找到的data point的值。如果有一个data point的timestamp==该段的timestamp,则直接使用该data point。,如果该段timestamp往前的5分钟范围内没有找到任何data point,则该段无值。. 2019-01-15 16:20:00,1.7629794254168016,1.6523557370834396,2.231762218333415,2.040916205000182 ? I'll try some examples.When running a query using the quick range "previous month" I get this query:When "Local browser time" is selected, I believe it should it be "start=1554091200" to send my local time zone midnight (I am -4).What does change is just the way grafana displays the data. pod_names.add(pod_name) Qiita can be used more conveniently after logging in.Help us understand the problem. -h, --help show this help message and exit Prod has about 10k samples ingested every 5 mins, for staging it is 6k every 5 mins.Prod has about 10k samples ingested every 5 mins, for staging it is 6k every 5 mins.This would be a tiny Prometheus, but your numbers don't add up. writer.writerow(row),usage: export_pod_cpu.py [-h] [-f FILENAME] [-n NAMESPACE] So feel free to dismiss all this but here is my attempt:I think the issue is from this code on line 571 in public/app/plugins/datasource/prometheus/datasource.ts,The comment where this function is called (line 253) is,I admit I do not know what ill effects comes from sending a query with a non-exact number of steps between 'start' and 'end' but my first thought was maybe the fucntion should be,That seems right in cases of an absolute time range but seems wrong with at least some relative ranges. fieldnames = [','] # [1547532000, ','], # pprint.pprint(time_series) row[pod_name] = values[pod_name] # Pod名のSetを用意する I don't think you're telling me everything.Is the query_range performance dependant on the size of the data in Prometheus or the rate of ingestion?The queries work when we use a higher step/ lower resolution, but we really need a 1 second granularity for doing some comparison. Thanks for your time.The more I think about this the more I think there should be the ability for more user control over this alignment.I think what would be best is to have a new field on the query view maybe called “Step Alignment”. ?How to achieve this look/unwrap (Swirl texture on tree),Managing layers from a specific group with PyQGIS.How can I politely tell a student that I already support him several times and that is enough?Company banned references, senior engineer subverting ban; should I go along with free "workaround"?sed - replace value to use quotes where needed.At what pressure will hydrogen start to liquefy at room temperature?Why is power of a signal equal to square of that signal?Does WiFi still work if I use my router as a switch?How to choose pseudopotential for DFT calculations in Quantum ESPRESSO?lilypond rests making an empty whole measure,Vancouver YVR getting to quarantine with toddler.Can airliners land with auto pilot at strong gusty wind?The queries work when we use a higher step/ lower resolution, but we really need a 1 second granularity for doing some comparison. # {','], There's a query, a start time, an end time, and a step. Would the query performance improve when we move to Prometheus 2.1.0?Asking for help, clarification, or responding to other answers.Making statements based on opinion; back them up with references or personal experience. optional arguments: 1547538002, By using our site, you acknowledge that you have read and understand our.Stack Overflow for Teams is a private, secure spot for you and
Exporterをカスタマイズして作成する方法はたくさん記事がありましたが、PrometheusのデータをHTTP APIから取得する方法についての情報があまり見当たらなかったので備忘のため記録しておきます。 Prometheus HTTP APIをcurlで呼び出してみる for result in results: 1547537972, Legend format: Controls the name of the time series, using name or pattern. It correctly shows:Example using absolute time in my local timezone. And the visualization now shows my datapoints at midnight (00:00).Think this is an issue for Prometheus not Grafana. Min step: An additional lower limit for the step parameter of Prometheus range queries and for the $__interval variable. PromQL(Prometheus Query Language)是 Prometheus 自己开发的表达式语言,语言表现力很丰富,内置函数也很多。使用它可以对时序数据进行筛选和聚合。 1. Prometheus query expression, check out the Prometheus documentation. ], "2.5491993487228775" Min step: An additional lower limit for the step parameter of Prometheus range queries and for the $__interval variable. GH Page地址 Prometheus有两种query:instant query、range query。 本文要讲的就是 range query 中的 step 参数 。 range query 是非常常见的一种 query ,看看它有哪些 参数 : query =: PromQL表达 … logger.debug(','.format(params)) 400 Bad Requestwhen parameters are missing or incorrect. for timestamp, values in time_series.items(): In about a half day this number grew 0.45 Bil. 2019-01-15 16:10:00,1.4900129837500724,1.4548672362502657,2.3264455262498513,2.7998607379167124 借助IBM中国研究院的创新成果,以及IBM全球实验室众多环境及能源专家的支持,2014年7月...Copyright © 2013 - 2020 Tencent Cloud. PromQL 表达式计算出来的值有以下几种类型: (it's taking more than 1 min),Some of differences between the two systems I observed are -.Prod is running 1.8.2 version of Prometheus, staging is running 2.1.0 ‘end’ with a relative time.‘start’ would align the steps to the start of the time range.‘end’ would align the steps to the end of the time range.Entering time quantity would shift the step alignment by that amount of time relative to selected timezone. # 行に時間の列を追加 2019-01-15 16:40:00,1.6692312762499266,1.7964510670833533,2.264148609108464,2.300661640484626 It does make sense that maybe they should be smarter than just the 'From' and 'To' times of the dashboard but it seems clear to me that this isn't quite right.I can see that maybe sliding the "step alignment" along with dashboard 'To' and 'From' times may not be optimal but I really should be able to slide it exactly 4 hours to return data aligned with my local timezone 24hr day. writer.writeheader() There's a query, a start time, an end time, and a step. for value in result[',']: Swapping out our Syntax Highlighter.How does the highlight.js change affect Stack Overflow specifically?Congratulations to EdChum for 100,000 close reviews!Prometheus rate functions and interval selections,What is the maximum scrape_interval in Prometheus,Prometheus histograms and averaging sets with NaN values included,prometheus / monitor docker container performance,Relabel instance to hostname in Prometheus.Do I understand Prometheus's rate vs increase functions correctly?Handling prometheus counters while ignoring resets,Don't show data from redeployed pod in Grafana using promQL,Functions which are periodic along every geodesic.What is better: to have a modal open instantly and then load its contents, or to load its contents and then open it?Is a US (New York) police officer allowed to take your keys at a traffic stop?Work done in assembling a point charge is infinite.Do native speakers use the phrase "set channels"?Why does exhaust flow inwards through a radial turbocharger?How plausible is it for nuclear power to be invented but not nuclear weapons?How can I get material property data past what's provided via ElementData[], ChemicalData[], etc. Prometheus 查询语言 [TOC] Prometheus 查询语言. Ot… And rate(prometheus_local_storage_ingested_samples_total[5m]) is about 9.6K. Qiita can be used more conveniently after logging in.You seem to be reading articles frequently this month. It really seems like a huge bug on prometheus's side if it can't "return stable results" for a query like:But it does seem like it can, and should. Is the the same if you take that query back in time to like 01May?Problem is that the step alignment is done on the UTC epoch seconds.I don't know exactly how grafana determines what to choose for those 'start' and 'end' timestamps. # [1547535600, ','], 2019-01-16 15:00:00,1.4205530700000204,1.450829464166835,2.229421241249838,2.6200906879167483 Though as I showed with the absolute ranges above I can't really test it from grafana.if I specify a dashboard time range that starts may 26 01:00:00 Grafana sends this as the start param.So it correctly sends the start time for me.But I can replicate your problem with 24h min step now. try: # response = requests.get(url, verify=False, headers=headers, params=params) # 指定のNamespaceの、指定のintervalで算出したPod毎のCPU使用率を取得する except KeyError: (省略),'%(asctime)s %(name)-12s %(levelname)-8s %(message)s',', result_str) # # pprint.pprint(results) with open(filepath, ',') as csv_file: "status": "success", # timestampを辞書のキーにすることで同じtimestampのデータをまとめる { response.raise_for_status() 503 Service Unavailablewhen queries time out or abort. This would be used places where I want data by work shift. # 時刻毎のデータの辞書を用意する 出力先のファイル名を指定します # 意味のない部分を取り除いて中のリストを取り出す var date = new Date(0); Would the query performance improve when we move to Prometheus 2.1.0?That's getting into profiling, which is possible but tricky to do with metrics.Thanks for contributing an answer to Stack Overflow!By clicking “Post Your Answer”, you agree to our.To subscribe to this RSS feed, copy and paste this URL into your RSS reader.site design / logo © 2020 Stack Exchange Inc; user contributions licensed under,Stack Overflow works best with JavaScript enabled,Where developers & technologists share private knowledge with coworkers,Programming & related technical career opportunities,Recruit tech talent & build your employer brand,Reach developers & technologists worldwide.Well, for the total number of samples I was looking at the value of prometheus_local_storage_ingested_samples_total which is at 9.75 Bil as of now. "data": { Every successful API request returns a 2xxstatus code. On production, some of the prometheus queries are timing out when queried via Grafana. --step STEP データポイントの間隔(秒)を指定します,timestamp,infra-test-nodeport-cust-1,infra-test-nodeport2-cus-1,infra-test-nodeport2-cus-0,infra-test-nodeport-cust-0 # リクエストを実行 First shift is 5-13, 2nd shift is 13-21, and 3rd shift is 21-5.Yet another case is where I want a single data point per week. When I specify a time range of "Today" the time range sent to Prometheus is correct with a from (02:00 UTC+2), if I specify an absolute time range with From 00:00 it is also correct as it sends a 02:00 UTC+2 .The "Today" and Yesterday ranges do not change when swithcing to UTC due to this bug.The query inspector shows that it is indeed sending a timestamp for UTC midnight.You mean the time range or the response? What happened: Bar chart where each bar is intended to be a daily total are offset by my timezone. 2019-01-16 15:50:00,1.0475173487499962,1.2800040254167773,1.750940527916403,2.7946370483334704 access_token = (match.group(2)) }, For example {{hostname}} is replaced with the label value for the label hostname. 2019-01-15 16:00:00,1.7765650066665255,1.5227466104164478,2.4642478804166026,2.7171226995831903 GH Page地址 Prometheus有两种query:instant query、range query。 本文要讲的就是 range query 中的 step 参数 。 range query 是非常常见的一种 query ,看看它有哪些 参数 : query =: PromQL表 … At 10k/5m that's 33/s which would take about 9 years to reach 9.3B samples. # {','}, The time range is always sent in UTC second epocs, but when converted to your local time should match what you expect.It seems like those 'start' and 'end' are set to be multiples of the step time (24h)? So I don't know what's best. time_series = collections.defaultdict(dict) --end END データの終了時間を指定します(例)20190102-1000 -f FILENAME, --filename FILENAME 3. Legend format: Controls the name of the time series, using name or pattern. For learning, it might be easier tostart with a couple of examples. for pod_name in pod_names: # pprint.pprint(response.json()) # レスポンスは以下のようなデータ 2019-01-16 15:10:00,1.207286078750182,1.4032802437501837,1.8004293182339135,2.120460568511992 --interval INTERVAL CPU使用率計算に使用するデータの間隔を指定します(例)1h、5m The query range endpoint isn't magic, in fact it is quite dumb. Selecting "Local Browser time" and 'default' seem to be the same.Selecting a dashboard timezone 'UTC' basically doesn't change the query sent out to prometheus. fieldnames.extend(pod_names) time_series[value[0]][pod_name] = value[1] The query range endpoint isn't magic, in fact it is quite dumb. logger.debug(','.format(access_token)) Still not large.I think the main question is why the queries are taking more than 1 min. PodのCPU使用率をcsvに出力します。 2. PromQL 语法 1.1 数据类型. For example {{hostname}} is replaced with the label value for the label hostname. 腾讯云 版权所有,对于[start, end]时间区间,从start开始,以step为长度,把时间区间分成若干段,从该段的timestamp(含)往前找,取第一个找到的data point的值。如果有一个data point的timestamp==该段的timestamp,则直接使用该data point。,如果该段timestamp往前的5分钟范围内没有找到任何data point,则该段无值。. # {1547464889.632: {','}, # valuesにこのPodのデータがないときはKeyErrorが発生するので空データを入れる # 辞書から時間毎のデータを取り出してループする ...判断是SSL证书有问题,但证书状态完全正常,小程序后台的安全域名也添加的没问题,最后解决办法是:换了一家SSL证书,并重启Nginx,咱们一般写mapreduce是通过java和streaming来写的,身为pythoner的我,.1.IBM拓展“绿色地平线”计划 支持中国“生态文明建设”之路 [--interval INTERVAL] [--start START] [--end END] What does this mean for the future of AI, edge…,Hot Meta Posts: Allow for removal by moderators, and thoughts about future…,Goodbye, Prettify.
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