Fly-Style commented on code in PR #18904:
URL: https://github.com/apache/druid/pull/18904#discussion_r2683065395
##########
docs/ingestion/supervisor.md:
##########
@@ -187,6 +189,51 @@ The following example shows a supervisor spec with
`lagBased` autoscaler:
```
</details>
+**2. Cost-based autoscaler strategy (experimental)**
+
+An autoscaler which coumputes the required supervisor task count via cost
function based on extracted lag and poll idle time metrics.
+Task counts are selected from a bounded range derived from the current
partitions-per-task (PPT) ratio,
+not strictly from factors/divisors of the partition count. This bounded PPT
window enables gradual scaling while
+voiding large jumps and still allowing non-divisor task counts when needed.
+
+**It is experimental and the implementation details as well as cost function
parameters are subject to change.**
+
+Note: Kinesis is not supported yet, support is in progress.
+
+The following table outlines the configuration properties related to the
`costBased` autoscaler strategy:
+
+| Property | Description
| Required | Default |
+|---------------------------|---------------------------------------------------------------------------|----------|---------|
+| `scaleActionPeriodMillis` | The frequency in milliseconds to check if a
scale action is triggered. | No | 60000 |
+| `lagWeight` | The weight of extracted lag value in cost
function. | No | 0.25 |
+| `idleWeight` | The weight of extracted poll idle value in cost
function. | No | 0.75 |
+| `defaultProcessingRate` | A, planned processing rate per task, required
for first cost estimations. | No | 1000 |
Review Comment:
Fixed.
##########
docs/ingestion/supervisor.md:
##########
@@ -187,6 +189,51 @@ The following example shows a supervisor spec with
`lagBased` autoscaler:
```
</details>
+**2. Cost-based autoscaler strategy (experimental)**
+
+An autoscaler which coumputes the required supervisor task count via cost
function based on extracted lag and poll idle time metrics.
+Task counts are selected from a bounded range derived from the current
partitions-per-task (PPT) ratio,
+not strictly from factors/divisors of the partition count. This bounded PPT
window enables gradual scaling while
+voiding large jumps and still allowing non-divisor task counts when needed.
+
+**It is experimental and the implementation details as well as cost function
parameters are subject to change.**
+
+Note: Kinesis is not supported yet, support is in progress.
+
+The following table outlines the configuration properties related to the
`costBased` autoscaler strategy:
+
+| Property | Description
| Required | Default |
Review Comment:
Fixed.
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