I got the metrics using prometheus and webclient.
like ..
http_client_requests_seconds_count{clientName="aaa.com", ..., uri="/test"} 5
http_client_requests_seconds_max{clientName="aaa.com", ..., uri="/test"} 0
http_client_requests_seconds_sum{clientName="aaa.com", ..., uri="/test"} 10
I want to know what a each metrics mean.
And Time Unit.. 'http_client_requests_seconds_sum' is milli seconds? nano seconds? seconds?
'http_client_requests_seconds_max' mean longest time?
plz help me....!
http_client_requests_seconds_count is the total number of requests your application made to this endpoint (don’t worry about the fact that the name contains the word seconds).
http_client_requests_seconds_sum is the sum of the duration of every request your application made to this endpoint.
http_client_requests_seconds_max is the maximum request duration during a time window. The value resets to 0 when a new time window starts. The default time window is 2 minutes.
Reference: Spring Boot default metrics
Related
I want to limit my Kafka Consumer message consumption rate to 1 Message per 10 seconds .I'm using kafka streams in Spring boot .
Following is the property I tried to Make this work but it didn't worked out s expected(Consumed many messages at once).
config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, brokersUrl);
config.put(StreamsConfig.APPLICATION_ID_CONFIG, applicationId);
config.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset);
//
config.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG,1);
config.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, 10000);
is there any way to Manually ACK(Manual offsetCommits) in KafkaStreams? which will be usefull to control the msg consumption rate .
Please note that i'm using Kstreams(KafkaStreams)
Any help is really appreciated . :)
I think you misunderstand what MAX_POLL_INTERVAL_MS_CONFIG actually does.
That is the max allowed time for the client to read an event.
From docs
controls the maximum time between poll invocations before the consumer will proactively leave the group (5 minutes by default). The value of the configuration request.timeout.ms (default to 30 seconds) must always be smaller than max.poll.interval.ms(default to 5 minutes), since that is the maximum time that a JoinGroup request can block on the server while the consumer is rebalance
"maximum time" not saying any "delay" between poll invocations.
Kafka Streams will constantly poll; you cannot easily pause/start it and delay record polling.
To read an event every 10 seconds without losing consumers in the group due to lost heartbeats, then you should use Consumer API, with pause() method, call Thread.sleep(Duration.ofSeconds(10)), then resume() + poll() while setting max.poll.records=1
Finally ,I achieved the desired message consuming limit using Thread.sleep().
Since , there is no way to control the message consumption rate using kafka config properties itself . I had to use my application code to control the rate of consumption .
Example: if I want control the record consumption rate say 4 msg per 10 seconds . Then i will just consumer 4 msg (will keep a count parallely) once 4 records are consumer then i will make the thread sleep for 10 seconds and will repeat the same process over again .
I know it's not a good solution but there was no other way.
thank you OneCricketeer
I have a simple spring boot app with the following config (the project is available here on GitHub):
management:
metrics:
export:
simple:
mode: step
endpoints:
web:
exposure:
include: "*"
The above config creates SimpleMeterRegistry and configures its metrics to be step-based, with 60 seconds step. I have one script that sends 50-100 requests per second to the service dummy endpoint and there's the other script that polls the data from /actuator/metrics/http.server.requests every X seconds. When I run the latter script every 60 seconds everything works as expected, but when the script is run every 120 seconds, the response always contains zeros for TOTAL_TIME and COUNT metrics.
Can anyone explain this behavior?
I have read the documentation here. The picture below
could indicate that a registry will try to aggregate the data for the previous interval only if pollAsRate is called during the current interval. This will explain why it does not work for 120 seconds interval. But this is just my assumption, does anyone know what is really happening here?
Spring boot version: 2.1.7.RELEASE
UPDATE
I did a similar test with management.metrics.export.simple.step=10s, it works fine when polling interval is 10s and not working when it is 20s. For 15s interval it sporadically works. So, it's definitely related to the step size and polling frequency.
MAX, TOTAL_TIME, COUNT is the property of Statistic.
DistributionStatisticConfig has .expiry(Duration.ofMinutes(2)) which sets the some measutement to 0 if there is no request has been made for last 2 minutes (120 seconds)
Methods such as public TimeWindowMax(Clock clock,...), private void rotate() has been written for the same. You may see the implementation here
More Detailed Answer
Finally figured out what is happening.
On every request to /actuator/metrics, MetricsEndpoint is going to merge measures (see here). That is done by collecting values for all meters with measurement.getValue(). The StepMeasurement.getValue() will not simply return the value, it will update the current and the previous intervals and counts, and roll the count (see here and here).
StepMeasurement.getValue
public double getValue() {
double absoluteCount = (Double)this.f.get();
double inc = Math.max(0.0D, absoluteCount - this.lastCount.sum());
this.lastCount.add(inc);
this.value.getCurrent().add(inc);
return this.value.poll();
}
StepDouble.poll
public double poll() {
rollCount(clock.wallTime());
return previous;
}
How is this related to the polling interval? If you do not poll /actuator/metrics endpoint, the current and previous intervals will not be updated, thus resulting in the current interval not being up-to-date and metrics being recorded for the "wrong" interval.
I have state change duration data between my object state in milliseconds.I am sending this data to graphite. I want to create a single stat panel which show me the percentage of the duration less than 20 seconds. How can I create it? Any idea or any similar scenario example will be useful.
myProjectName.FromStateToState.duration 10000ms
myProjectName.FromStateToState.duration 15000ms
myProjectName.FromStateToState.duration 21000ms
myProjectName.FromStateToState.duration 25000ms
myProjectName.FromStateToState.duration 30000ms
Assume for above scenario I expect my percentage should be %40. Because I have 5 duration data and 2 of them is less than 20 seconds. I am using Graphite as data source and Grafana as visualizing.
Temporary Solution
Because I couldn't get enough attention and any answer, I will add my temprorary solution to here. If I learn exact solution in the future I will post as an answer too.
Basically I created two counter like counterSuccess and counterFail. If state change duration is less than 20 seconds increase counterSuccess otherwise increase counterFail. Then get percentage of the success rate via following basic formula counterSuccess/(counterSuccess + counterFail).
Graphite commands at Grafana Panel:
A : sumSeries(myProjectName.FromStateToState.counterSuccess.count)
B : sumSeries(myProjectName.FromStateToState.counterFail.count)
C : sumSeries(#A, #B)
D : divideSeries(#A,#C)
I defined a single stat at grafana to show it as single percentage;
I have run load testing for website but when I have increased no. of users , I can see throughput time seems increasing instead of decrease.
Test Case 1 :
No. of Threads : 15
Ramp up time : 450 [As I want to put delay of 30 seconds between 2 users]
Loop count : Forever
Scheduler : 1800 Seconds [As I want to run test for 30 minutes]
In Http requests I have added 10 pages and each request has constant timer with 30000 miliseconds as I need to put delay of 30 seconds between 2 requests.
Now When I see result of Aggregate Report , it shows me Throughput 3/min for each request.
Test Case 2 :
No. of Threads : 30
Ramp up time : 900 [As I want to put delay of 30 seconds between 2 users]
Loop count : Forever
Scheduler : 1800 Seconds [As I want to run test for 30 minutes]
In Http requests I have added 10 requests/pages and each request has constant timer with 30000 miliseconds as I need to put delay of 30 seconds between 2 requests.
Now When I see result of Aggregate Report , it shows me Throughput 6/min for each request.
I am confuse that how it is possible? If my users are increased from 15 to 30 then it should have more load on server and throughtput should decrease like 1/min or 2/min.
Please let me know what I am doing wrong here.
Throughput is no. of completions per unit time. (A completion can be a http request/db request in short anything that needs to be executed and needs >0 execution time.)
Ex. req per sec or req per min etc.
By definition of throughput in JMeter, it is calculated as total no. of requests/total time.
In your first case, no. of requests generated in 1800 seconds with 3 second delay in every request by 15 users are x. Thus throughput is x/30 i.e. 3 it means ~90 requests were generated (verify this from aggregate report or other reporter.)
In your second case, everything else is same but no. of users are doubled which creates ~double no. of requests in given time which is (1800 seconds)
Thus according to formula, no. of requests generated/total time.
Throughput in 2nd case = 2x/30 = 2*throughput in 1st case
Which is 6/min. (Correctly shown by JMeter.)
Key here is to check no. of requests generated in both cases.
I hope this clears your confusion. Let me know if you need further clarification. BTW "when I have increased no. of users , I can see throughput time seems increasing instead of decrease." is not always true.
Throughput increased by factor of 2.
Test Case 1: - 3 requests per minute - 1 request each 20 seconds
Test Case 2: - 6 requests per minute - 1 request each 10 seconds
As per JMeter Glossary:
Throughput is calculated as requests/unit of time. The time is calculated from the start of the first sample to the end of the last sample. This includes any intervals between samples, as it is supposed to represent the load on the server.
The formula is: Throughput = (number of requests) / (total time).
You may also be interested in the following plugins:
Server Hits Per Second
Transactions Per Second
or alternatively Loadosophia.org service which can convert your JMeter .jtl results files into easy-understandable professional load report
I have a table of eBay itemid, and for each id I want to apply a reviseitem call, but from the second call I get the following error:
You have exceeded your maximum call limit of 3000 for 5 seconds. Try back after 5 seconds.
NB: I have just 4 calls.
How can I fix this problem?
ebay count the calls per second per unique IP's. So please make sure your all calls from your application must be less than 3000 per 5 seconds. hope this would help.
I have just finished an eBay project and this error can be misleading. eBay allow a certain amount of calla a day and if you exceed that amount in one 24 hour period you can get this error. You can get this amount increased by completing an Application Check form http://go.developer.ebay.com/developers/ebay/forums-support/certification
The eBay Trading API, to which your ReviseItem call belongs, allows up to 5000 calls per 24 hour period for all applications, and up to 1.5M calls / 24hrs for "Compatible Applications", i.e. applications that have undergone a vetting process called "Compatible Application Check". More details here: https://go.developer.ebay.com/developers/ebay/ebay-api-call-limits
However, that's just the generic, "Aggregate" call limit. There are different limits for specific calls, some of which are more liberal (AddItem: 100.000 / day) and others of which are more strict (SetApplication: 50 / day) than that. Additionally, there are hourly and periodic limits.
You can find out any application's applicable limits by executing the GetApiAccessRules call:
<GetApiAccessRulesResponse xmlns="urn:ebay:apis:eBLBaseComponents">
<Timestamp>2014-12-02T13:25:43.235Z</Timestamp>
<Ack>Success</Ack>
<Version>889</Version>
<Build>E889_CORE_API6_17053919_R1</Build>
<ApiAccessRule>
<CallName>ApplicationAggregate</CallName>
<CountsTowardAggregate>true</CountsTowardAggregate>
<DailyHardLimit>5000</DailyHardLimit>
<DailySoftLimit>5000</DailySoftLimit>
<DailyUsage>10</DailyUsage>
<HourlyHardLimit>6000</HourlyHardLimit>
<HourlySoftLimit>6000</HourlySoftLimit>
<HourlyUsage>0</HourlyUsage>
<Period>-1</Period>
<PeriodicHardLimit>10000</PeriodicHardLimit>
<PeriodicSoftLimit>10000</PeriodicSoftLimit>
<PeriodicUsage>0</PeriodicUsage>
<PeriodicStartDate>2006-02-14T07:00:00.000Z</PeriodicStartDate>
<ModTime>2014-01-20T11:20:44.000Z</ModTime>
<RuleCurrentStatus>NotSet</RuleCurrentStatus>
<RuleStatus>RuleOn</RuleStatus>
</ApiAccessRule>
<ApiAccessRule>
<CallName>AddItem</CallName>
<CountsTowardAggregate>false</CountsTowardAggregate>
<DailyHardLimit>100000</DailyHardLimit>
<DailySoftLimit>100000</DailySoftLimit>
<DailyUsage>0</DailyUsage>
<HourlyHardLimit>100000</HourlyHardLimit>
<HourlySoftLimit>100000</HourlySoftLimit>
<HourlyUsage>0</HourlyUsage>
<Period>-1</Period>
<PeriodicHardLimit>0</PeriodicHardLimit>
<PeriodicSoftLimit>0</PeriodicSoftLimit>
<PeriodicUsage>0</PeriodicUsage>
<ModTime>2014-01-20T11:20:44.000Z</ModTime>
<RuleCurrentStatus>NotSet</RuleCurrentStatus>
<RuleStatus>RuleOn</RuleStatus>
</ApiAccessRule>
You can try that out four your own application by pasting an AuthToken for your application into the form at https://ebay-sdk.intradesys.com/s/9a1158154dfa42caddbd0694a4e9bdc8 and then press "Execute call".
HTH.