mxm commented on code in PR #533:
URL:
https://github.com/apache/flink-kubernetes-operator/pull/533#discussion_r1107115459
##########
flink-kubernetes-operator-autoscaler/src/main/java/org/apache/flink/kubernetes/operator/autoscaler/config/AutoScalerOptions.java:
##########
@@ -153,4 +153,10 @@ private static ConfigOptions.OptionBuilder
autoScalerConfig(String key) {
.defaultValue(MetricAggregator.MAX)
.withDescription(
"Metric aggregator to use for busyTime metrics.
This affects how true processing/output rate will be computed. Using max allows
us to handle jobs with data skew more robustly, while avg may provide better
stability when we know that the load distribution is even.");
+
+ public static final ConfigOption<String> EXCLUDE_VERTEX_IDS =
+ autoScalerConfig("exclude.vertex.ids")
+ .stringType()
Review Comment:
This should be of list type.
```suggestion
.asList()
```
##########
flink-kubernetes-operator-autoscaler/src/main/java/org/apache/flink/kubernetes/operator/autoscaler/config/AutoScalerOptions.java:
##########
@@ -153,4 +153,10 @@ private static ConfigOptions.OptionBuilder
autoScalerConfig(String key) {
.defaultValue(MetricAggregator.MAX)
.withDescription(
"Metric aggregator to use for busyTime metrics.
This affects how true processing/output rate will be computed. Using max allows
us to handle jobs with data skew more robustly, while avg may provide better
stability when we know that the load distribution is even.");
+
+ public static final ConfigOption<String> EXCLUDE_VERTEX_IDS =
+ autoScalerConfig("exclude.vertex.ids")
+ .stringType()
+ .defaultValue("")
+ .withDescription("comma separated list of vertex ids in
hexstring to disable for autoscaler to ignore for evaluating and scaling.");
Review Comment:
This would be a semicolon-separated list in case of ListType.
##########
flink-kubernetes-operator-autoscaler/src/main/java/org/apache/flink/kubernetes/operator/autoscaler/ScalingMetricEvaluator.java:
##########
@@ -66,12 +67,15 @@ public Map<JobVertexID, Map<ScalingMetric,
EvaluatedScalingMetric>> evaluate(
var scalingOutput = new HashMap<JobVertexID, Map<ScalingMetric,
EvaluatedScalingMetric>>();
var metricsHistory = collectedMetrics.getMetricHistory();
var topology = collectedMetrics.getJobTopology();
+ var excludeVertexIdList =
Arrays.asList(conf.get(AutoScalerOptions.EXCLUDE_VERTEX_IDS).split(","));
Review Comment:
No need to do this here if we use a list type like other options, e.g. see
`classloader.parent-first-patterns.default`.
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