-
Notifications
You must be signed in to change notification settings - Fork 35
dynstream, metrics: add batch metrics #4014
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: master
Are you sure you want to change the base?
dynstream, metrics: add batch metrics #4014
Conversation
|
[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here. DetailsNeeds approval from an approver in each of these files:Approvers can indicate their approval by writing |
Summary of ChangesHello @3AceShowHand, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the observability of the dynamic stream component by introducing detailed batch-level metrics. It adds new Prometheus histograms to track the count of events, total bytes, and processing duration for each batch. These additions provide critical insights into the performance and efficiency of event handling, facilitating better monitoring and debugging of the dynamic stream's operational characteristics. Highlights
🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console. Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
This pull request adds batch metrics to dynstream. The changes are generally good, but I've found a critical issue that could cause a panic due to a nil pointer dereference, as well as an issue with an incorrect time unit for a duration metric. Additionally, there's a minor inconsistency in metric labeling that should be addressed for better clarity. My detailed feedback and suggestions are in the comments below.
utils/dynstream/stream.go
Outdated
| metrics.DynamicStreamBatchDuration.WithLabelValues(path.areaStr).Observe(float64(time.Since(start))) | ||
| metrics.DynamicStreamBatchCount.WithLabelValues(path.areaStr).Observe(float64(len(eventBuf))) | ||
| metrics.DynamicStreamBatchBytes.WithLabelValues(path.areaStr).Observe(float64(nBytes)) | ||
|
|
||
| if len(eventBuf) == 0 { | ||
| eventQueueEmpty = true | ||
| continue Loop |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
There are two critical issues in this block:
-
Nil Pointer Dereference:
s.eventQueue.popEventscan return anilpath if the event queue is empty. The current code attempts to record metrics usingpath.areaStrbefore checking if a batch was actually returned (len(eventBuf) == 0). This will cause a panic ifpathisnil. -
Incorrect Metric Unit: The
DynamicStreamBatchDurationhistogram expects a value in seconds (as indicated by its buckets), butfloat64(time.Since(start))provides nanoseconds. You should usetime.Since(start).Seconds()to report the duration correctly.
I've provided a suggestion to fix both issues by checking the batch size before recording metrics and using the correct unit for the duration.
if len(eventBuf) == 0 {
eventQueueEmpty = true
continue Loop
}
metrics.DynamicStreamBatchDuration.WithLabelValues(path.areaStr).Observe(time.Since(start).Seconds())
metrics.DynamicStreamBatchCount.WithLabelValues(path.areaStr).Observe(float64(len(eventBuf)))
metrics.DynamicStreamBatchBytes.WithLabelValues(path.areaStr).Observe(float64(nBytes))| DynamicStreamBatchCount = prometheus.NewHistogramVec( | ||
| prometheus.HistogramOpts{ | ||
| Namespace: "ticdc", | ||
| Subsystem: "dynamic_stream", | ||
| Name: "batch_count", | ||
| Help: "The number of events in each batch processed by dynamic stream", | ||
| Buckets: prometheus.ExponentialBuckets(1, 2, 15), // 1 ~ 16384 | ||
| }, []string{"module"}) | ||
| DynamicStreamBatchBytes = prometheus.NewHistogramVec( | ||
| prometheus.HistogramOpts{ | ||
| Namespace: "ticdc", | ||
| Subsystem: "dynamic_stream", | ||
| Name: "batch_bytes", | ||
| Help: "The total bytes in each batch processed by dynamic stream", | ||
| Buckets: prometheus.ExponentialBuckets(1024, 2, 18), // 1KB ~ 128MB | ||
| }, []string{"module"}) | ||
| DynamicStreamBatchDuration = prometheus.NewHistogramVec( | ||
| prometheus.HistogramOpts{ | ||
| Namespace: "ticdc", | ||
| Subsystem: "dynamic_stream", | ||
| Name: "batch_duration", | ||
| Help: "The duration of batch each batch in dynamic stream", | ||
| Buckets: prometheus.ExponentialBuckets(0.00004, 2.0, 19), // 40us to 10s | ||
| }, []string{"module"}) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The new batch metrics are defined with the label module, but they are used with path.areaStr in stream.go. For consistency with other metrics like DynamicStreamMemoryUsage and to accurately reflect what is being measured, the label should be area.
Additionally, the help text for DynamicStreamBatchDuration is slightly ungrammatical. I've included a fix for that as well.
// Other metrics like DynamicStreamMemoryUsage use "area" as a label.
DynamicStreamMemoryUsage = prometheus.NewGaugeVec(
...
[]string{"module", "type", getKeyspaceLabel(), "area"})
// The new metrics are used with area string.
metrics.DynamicStreamBatchDuration.WithLabelValues(path.areaStr).Observe(...)
DynamicStreamBatchCount = prometheus.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "ticdc",
Subsystem: "dynamic_stream",
Name: "batch_count",
Help: "The number of events in each batch processed by dynamic stream",
Buckets: prometheus.ExponentialBuckets(1, 2, 15), // 1 ~ 16384
}, []string{"area"})
DynamicStreamBatchBytes = prometheus.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "ticdc",
Subsystem: "dynamic_stream",
Name: "batch_bytes",
Help: "The total bytes in each batch processed by dynamic stream",
Buckets: prometheus.ExponentialBuckets(1024, 2, 18), // 1KB ~ 128MB
}, []string{"area"})
DynamicStreamBatchDuration = prometheus.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "ticdc",
Subsystem: "dynamic_stream",
Name: "batch_duration",
Help: "The duration of each batch processed by dynamic stream",
Buckets: prometheus.ExponentialBuckets(0.00004, 2.0, 19), // 40us to 10s
}, []string{"area"})|
[FORMAT CHECKER NOTIFICATION] Notice: To remove the 📖 For more info, you can check the "Contribute Code" section in the development guide. |
|
@3AceShowHand: The following tests failed, say
Full PR test history. Your PR dashboard. DetailsInstructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. I understand the commands that are listed here. |
What problem does this PR solve?
Issue Number: close #xxx
What is changed and how it works?
Check List
Tests
Questions
Will it cause performance regression or break compatibility?
Do you need to update user documentation, design documentation or monitoring documentation?
Release note