errose28 commented on code in PR #8498:
URL: https://github.com/apache/ozone/pull/8498#discussion_r2216950041


##########
hadoop-hdds/common/src/main/java/org/apache/hadoop/hdds/utils/SlidingWindow.java:
##########
@@ -0,0 +1,162 @@
+/*
+ * 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.hdds.utils;
+
+import java.time.Clock;
+import java.time.Duration;
+import java.util.ArrayDeque;
+import java.util.Deque;
+import java.util.concurrent.TimeUnit;
+
+/**
+ *
+ * A sliding window implementation that combines time-based expiry with a
+ * maximum size constraint. The window tracks event timestamps and maintains 
two
+ * limits:
+ * <ul>
+ * <li>Time-based: Events older than the specified expiry duration are
+ *     automatically removed
+ * <li>Size-based: The window maintains at most windowSize latest events, 
removing
+ *     older events when this limit is exceeded
+ * </ul>
+ *
+ * The window is considered full when the number of non-expired events exceeds
+ * the specified window size. Events are automatically pruned based on both
+ * their age and the maximum size constraint.
+ */
+public class SlidingWindow {
+  private final Object lock = new Object();
+  private final int windowSize;
+  private final Deque<Long> timestamps;
+  private final long expiryDurationMillis;
+  private final Clock clock;
+
+  /**
+   * Default constructor that uses a monotonic clock.
+   *
+   * @param windowSize     the maximum number of events that are tracked
+   * @param expiryDuration the duration after which an entry in the window 
expires
+   */
+  public SlidingWindow(int windowSize, Duration expiryDuration) {
+    this(windowSize, expiryDuration, new MonotonicClock());
+  }
+
+  /**
+   * Constructor with a custom clock for testing.
+   *
+   * @param windowSize     the maximum number of events that are tracked
+   * @param expiryDuration the duration after which an entry in the window 
expires
+   * @param clock          the clock to use for time measurements
+   */
+  public SlidingWindow(int windowSize, Duration expiryDuration, Clock clock) {
+    if (windowSize < 0) {
+      throw new IllegalArgumentException("Window size must be greater than 0");
+    }
+    if (expiryDuration.isNegative() || expiryDuration.isZero()) {
+      throw new IllegalArgumentException("Expiry duration must be greater than 
0");
+    }
+    this.windowSize = windowSize;
+    this.expiryDurationMillis = expiryDuration.toMillis();
+    this.clock = clock;
+    // We limit the initial queue size to 100 to control the memory usage
+    this.timestamps = new ArrayDeque<>(Math.min(windowSize + 1, 100));
+  }
+
+  public void add() {
+    synchronized (lock) {
+      if (isExceeded()) {
+        timestamps.remove();
+      }
+
+      timestamps.add(getCurrentTime());
+    }
+  }
+
+  /**
+   * Checks if the sliding window has exceeded its maximum size.
+   * This is useful to track if we have encountered more events than the 
window's defined limit.
+   * @return true if the number of tracked timestamps in the sliding window
+   *         exceeds the specified window size, false otherwise.
+   */
+  public boolean isExceeded() {
+    synchronized (lock) {
+      removeExpired();
+      return timestamps.size() > windowSize;
+    }
+  }
+
+  /**
+   * Returns the current number of events that are tracked within the sliding 
window.
+   * This method ensures that expired events are removed before computing the 
count.
+   *
+   * @return the number of valid timestamps currently in the sliding window
+   */
+  public int getNumEvents() {
+    synchronized (lock) {
+      removeExpired();
+      return timestamps.size();
+    }
+  }

Review Comment:
   We will need this method at least for logging when this is used in [this 
part](https://github.com/apache/ozone/blob/b574709dd6df95e9aec250769da73969f8706b49/hadoop-hdds/container-service/src/main/java/org/apache/hadoop/ozone/container/common/volume/StorageVolume.java#L714)
 of the volume checks. It would probably look something like this:
   ```java
       if (ioTestSlidingWindow.isExceeded()) {
         LOG.error("Failed IO test for volume {}: In the last {} greater than 
{} failures were encountered.", this,
             ioTestSlidingWindow.getExpiryDuration(), 
ioTestSlidingWindow.getWindowSize());
       } else if (LOG.isDebugEnabled()) {
         LOG.debug("IO test results for volume {}: In the last {} {}/{} 
tolerated failures were encountered.", this,
             ioTestSlidingWindow.getExpiryDuration(), 
ioTestSlidingWindow.getNumEventsInWindow(), 
ioTestSlidingWindow.getWindowSize());
       }
   ```
   
   For this use case I think it makes sense to keep the 1 exceeding entry as an 
internal implementation detail for `isExceeded` and leave the return value of 
this method capped at the window size.
   
   If we want to add a test to look inside the window and make sure it is not 
silently leaking events beyond `windowSize + 1` we can have both a regular 
public one capped at the window size and an `@VisibleForTesting` method that 
returns the actual size.



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