huyuanfeng2018 commented on code in PR #904:
URL:
https://github.com/apache/flink-kubernetes-operator/pull/904#discussion_r1841449375
##########
flink-autoscaler/src/main/java/org/apache/flink/autoscaler/ParallelismAdjuster.java:
##########
@@ -106,4 +107,43 @@ public static <KEY, Context extends
JobAutoScalerContext<KEY>> int adjust(
context.getConfiguration().get(SCALING_EVENT_INTERVAL));
return p;
}
+
+ private static int calculateMinimumParallelism(
+ int numKeyGroupsOrPartitions, int newParallelism, int
parallelismLowerLimit) {
+ int p = newParallelism;
+ for (; p > 0; p--) {
+ if (numKeyGroupsOrPartitions / p > numKeyGroupsOrPartitions /
newParallelism) {
+ if (numKeyGroupsOrPartitions % p != 0) {
+ p++;
+ }
+ break;
+ }
+ }
+ p = Math.max(p, parallelismLowerLimit);
+ return p;
+ }
Review Comment:
nice catch. I missed this
##########
flink-autoscaler/src/main/java/org/apache/flink/autoscaler/ParallelismAdjuster.java:
##########
@@ -0,0 +1,109 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.flink.autoscaler;
+
+import org.apache.flink.autoscaler.event.AutoScalerEventHandler;
+import org.apache.flink.autoscaler.topology.ShipStrategy;
+import org.apache.flink.runtime.jobgraph.JobVertexID;
+
+import java.util.Collection;
+
+import static
org.apache.flink.autoscaler.JobVertexScaler.SCALE_LIMITED_MESSAGE_FORMAT;
+import static org.apache.flink.autoscaler.JobVertexScaler.SCALING_LIMITED;
+import static
org.apache.flink.autoscaler.config.AutoScalerOptions.SCALING_EVENT_INTERVAL;
+import static org.apache.flink.autoscaler.topology.ShipStrategy.HASH;
+
+/**
+ * Component responsible adjusts the parallelism of a vertex.
+ *
+ * <p>When input vertex {@link ShipStrategy} is {@link ShipStrategy#HASH} or
knows the number of
+ * current partitions of vertex. We hope to adjust the parallelism of the
current vertex according
+ * to the number of key groups or partitions to achieve the goal of evenly
distributing data among
+ * subtasks or maximizing utilization.
+ */
+public class ParallelismAdjuster {
+
+ public static <KEY, Context extends JobAutoScalerContext<KEY>> int adjust(
+ JobVertexID vertex,
+ Context context,
+ AutoScalerEventHandler<KEY, Context> eventHandler,
+ int maxParallelism,
+ int numSourcePartitions,
+ int newParallelism,
+ int upperBound,
+ int parallelismLowerLimit,
+ Collection<ShipStrategy> inputShipStrategies) {
+
+ var adjustByMaxParallelismOrPartitions =
+ numSourcePartitions > 0 || inputShipStrategies.contains(HASH);
+ if (!adjustByMaxParallelismOrPartitions) {
+ return newParallelism;
+ }
+
+ var numKeyGroupsOrPartitions =
+ numSourcePartitions <= 0 ? maxParallelism :
numSourcePartitions;
Review Comment:
IMHO, in our subsequent work, there may be other ways to adjust the logic of
parallelism. It’s not just based on the numPartitions or keygroups, so I want
to unify it with ParallelismAdjuster. WDYT?
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