shibd commented on code in PR #23945:
URL: https://github.com/apache/pulsar/pull/23945#discussion_r1977166665


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pip/pip-406.md:
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+# PIP-406: Introduce metrics related to dispatch_throttled_count
+
+# Background knowledge
+
+## Motivation
+
+Currently, users can monitor subscription backlogs using the 
`pulsar_subscription_back_log_no_delayed` metric. 
+However, if [dispatch 
throttling](https://pulsar.apache.org/docs/next/concepts-throttling/) is 
configured at the broker/topic/subscription level,
+this metric may not accurately reflect whether the backlog is due to 
insufficient consumer capacity, as it could be caused by dispatch throttling.
+
+## Goals
+
+Introduce metrics to indicate the count of `messages/bytes throttled` for 
**broker/topic/subscription** level rate limit. 
+This allows users to write PromQL queries to identify subscriptions with high 
backlogs but low or no throttling, pinpointing backlogs caused by insufficient 
consumer capacity.
+
+## In Scope
+
+Broker Level:
+- Introduce the metric `pulsar_broker_dispatch_throttled_msg_count` to 
represent the total count of messages throttled for a broker.
+- Introduce the metric `pulsar_broker_dispatch_throttled_bytes_count` to 
represent the total count of bytes throttled for a broker.
+
+Topic Level:
+- Introduce the metric `pulsar_dispatch_throttled_msg_count` to represent the 
total count of messages throttled for a topic.
+- Introduce the metric `pulsar_dispatch_throttled_bytes_count` to represent 
the total count of bytes throttled for a topic.
+ 
+Subscription Level:
+- Introduce the metric `pulsar_subscription_dispatch_throttled_msg_count` to 
represent the total count of messages throttled for a subscription.
+- Introduce the metric `pulsar_subscription_dispatch_throttled_bytes_count` to 
represent the total count of bytes throttled for a subscription.
+ 
+
+## Out of Scope
+- These states are not persistent and will reset upon broker restart/ topic 
re-load / subscription reconnected.
+
+# High Level Design
+1. Maintain `dispatchThrottleMsgCount` and `dispatchThrottleBytesCount` in 
`DispatchRateLimiter`. Increase these values in the `consumeDispatchQuota` 
method when the TokenBucket for messages or bytes is insufficient.
+2. Output these fields when retrieving metrics.
+
+
+# Detailed Design
+
+## Design & Implementation Details
+1. Maintain `dispatchThrottleMsgCount` and `dispatchThrottleBytesCount` in 
`DispatchRateLimiter`:
+```java
+    private final LongAdder dispatchThrottleMsgCount = new LongAdder();
+    private final LongAdder dispatchThrottleBytesCount = new LongAdder();
+```
+
+2. During each 
[consumeDispatchQuota](https://github.com/apache/pulsar/blob/c4cff0ab3dac169c0a1418ef2f63f61604f6278e/pulsar-broker/src/main/java/org/apache/pulsar/broker/service/persistent/DispatchRateLimiter.java#L97-L104),
+if token bucket is insufficient, increase these fields accordingly.
+```diff
+     public void consumeDispatchQuota(long numberOfMessages, long byteSize) {
+         AsyncTokenBucket localDispatchRateLimiterOnMessage = 
dispatchRateLimiterOnMessage;
+         if (numberOfMessages > 0 && localDispatchRateLimiterOnMessage != 
null) {
+-            localDispatchRateLimiterOnMessage.consumeTokens(numberOfMessages);
++            if 
(!localDispatchRateLimiterOnMessage.consumeTokensAndCheckIfContainsTokens(numberOfMessages))
 {
++                dispatchThrottleMsgCount.increment();
++            }
+         }
+         AsyncTokenBucket localDispatchRateLimiterOnByte = 
dispatchRateLimiterOnByte;
+         if (byteSize > 0 && localDispatchRateLimiterOnByte != null) {
+-            localDispatchRateLimiterOnByte.consumeTokens(byteSize);
++            if 
(!localDispatchRateLimiterOnByte.consumeTokensAndCheckIfContainsTokens(byteSize))
 {
++                dispatchThrottleBytesCount.increment();
++            }

Review Comment:
   hi, @lhotari. Thanks for the review.
   
   The incorrect names and statements have been revised. Please review.
   
   For subscription metrics implement, your understanding is correct: **the 
subscription throttling metrics only represent the impact of 
SubscriptionRateLimit**. I intentionally designed it this way. The reasons are:
   
   1. If it were designed to increase with subscription, topic, and broker 
impacts, users would find it difficult to determine which dimension's rate 
limit configuration is causing the issue.
   2. In the current design, it can be understood this way: `when users see 
that the broker or topic level has already been throttled, the subscription 
throttling metrics become irrelevant, as it indicates that the broker or topic 
configuration is relatively small, and the first step should be addressing the 
broker or topic level configuration`



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