afedulov commented on code in PR #711: URL: https://github.com/apache/flink-kubernetes-operator/pull/711#discussion_r1403615188
########## flink-autoscaler/src/main/java/org/apache/flink/autoscaler/ScalingTracking.java: ########## @@ -0,0 +1,171 @@ +/* + * 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.annotation.Experimental; +import org.apache.flink.autoscaler.config.AutoScalerOptions; +import org.apache.flink.autoscaler.topology.JobTopology; +import org.apache.flink.configuration.Configuration; +import org.apache.flink.runtime.jobgraph.JobVertexID; + +import com.fasterxml.jackson.annotation.JsonIgnore; +import lombok.Builder; +import lombok.Data; +import lombok.NoArgsConstructor; + +import java.time.Duration; +import java.time.Instant; +import java.util.Map; +import java.util.Map.Entry; +import java.util.Optional; +import java.util.SortedMap; +import java.util.TreeMap; +import java.util.stream.Collectors; + +/** Stores rescaling related information for the job. */ +@Experimental +@Data +@NoArgsConstructor +@Builder +public class ScalingTracking { + + /** Details related to recent rescaling operations. */ + private final TreeMap<Instant, ScalingRecord> scalingRecords = new TreeMap<>(); Review Comment: EMA requires to know how many previous records in the window are taken into account because this determines the weight coefficient of the new record (smoothing factor). The length of the "window" of observation is also supposed to be fixed and not span all time from the beginning, so I am not sure we are talking about the classic definition of EMA. Maybe you could sketch a calculation you have in mind? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
