ptlrs commented on code in PR #8498:
URL: https://github.com/apache/ozone/pull/8498#discussion_r2202336926


##########
hadoop-hdds/container-service/src/main/java/org/apache/hadoop/ozone/container/common/utils/SlidingWindow.java:
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@@ -0,0 +1,75 @@
+/*
+ * 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.hadoop.ozone.container.common.utils;
+
+import java.util.ArrayDeque;
+import java.util.Deque;
+import java.util.concurrent.TimeUnit;
+
+/**
+ * A time-based sliding window implementation that tracks only failed test 
results within a specified time duration.
+ * It determines failure based on a configured tolerance threshold.
+ *
+ * The queue saves one failure more than the configured tolerance threshold,
+ * so that the window can be considered failed.
+ */
+public class SlidingWindow {
+  private final long windowDuration;
+  private final TimeUnit timeUnit;
+  private final int failureTolerance;
+  private final Deque<Long> failureTimestamps;
+
+  /**
+   * @param failureTolerance the number of failures that can be tolerated 
before the window is considered failed
+   * @param windowDuration   the duration of the sliding window
+   * @param timeUnit         the time unit of the window duration
+   */
+  public SlidingWindow(int failureTolerance, long windowDuration, TimeUnit 
timeUnit) {
+    this.windowDuration = windowDuration;
+    this.timeUnit = timeUnit;
+    this.failureTolerance = failureTolerance;
+    // If the failure tolerance is high, we limit the queue size to 100 as we 
want to control the memory usage
+    this.failureTimestamps = new ArrayDeque<>(Math.min(failureTolerance + 1, 
100));

Review Comment:
   This is just the initial queue size. If we add more elements, the queue will 
be automatically resize as required. We just want a reasonably small queue 
initially, until the need for a larger one arises. 



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