github-actions[bot] commented on code in PR #67527:
URL: https://github.com/apache/doris/pull/67527#discussion_r3932142810


##########
fe/fe-core/src/main/java/org/apache/doris/cloud/CacheHotspotManager.java:
##########
@@ -1504,28 +1524,86 @@ public void 
cancelTableFilterJobsForClusterChange(String clusterName, String rea
         }
     }
 
-    private void runCloudWarmUpJob() {
-        runnableCloudWarmUpJobs.values().forEach(cloudWarmUpJob -> {
-            if (cloudWarmUpJob.shouldWait()) {
-                return;
+    @VisibleForTesting
+    void runCloudWarmUpJob() {
+        int maxActiveJobs = Config.max_active_cloud_warm_up_job;
+        if (maxActiveJobs <= 0) {
+            return;
+        }
+
+        if (cloudWarmUpThreadPool.getMaximumPoolSize() != maxActiveJobs) {
+            cloudWarmUpThreadPool.setMaximumPoolSize(maxActiveJobs);
+            LOG.info("resize cloud warm up thread pool to {}", maxActiveJobs);
+        }
+
+        int availableSlots = maxActiveJobs - activeCloudWarmUpJobs.size();
+        if (availableSlots <= 0) {
+            return;
+        }
+
+        // A smaller last-scheduled sequence has higher priority, and 
never-scheduled jobs use sequence 0.
+        // For the same sequence, prefer ONCE jobs, then earlier creation 
time, then smaller job ID.
+        Comparator<CloudWarmUpJob> schedulePriority = Comparator
+                .comparingLong((CloudWarmUpJob job) ->
+                        
cloudWarmUpJobLastScheduleSeq.getOrDefault(job.getJobId(), 0L))

Review Comment:
   Giving every new job sequence `0` reintroduces starvation under continuous 
arrivals. With `max_active_cloud_warm_up_job=1`, let A run once so it becomes 
`RUNNING` with sequence 1, then add one new runnable job before each daemon 
cycle. The new sequence-0 job always wins the only slot, so A never reaches 
later `runRunningJob` steps—including lease renewal, batch progress, 
completion, and even timeout handling. Please preserve the first-turn policy 
without placing every arrival ahead of all in-progress work, and add a test 
that injects arrivals while a RUNNING job must make bounded progress.



##########
fe/fe-core/src/main/java/org/apache/doris/cloud/CacheHotspotManager.java:
##########
@@ -1003,6 +1018,10 @@ private class JobDaemon extends MasterDaemon {
 
         @Override
         public void runAfterCatalogReady() {
+            if (getInterval() != 
Config.cloud_warm_up_job_scheduler_interval_millisecond) {
+                
setInterval(Config.cloud_warm_up_job_scheduler_interval_millisecond);

Review Comment:
   This makes the mutable value live without validating its range. `ADMIN SET 
FRONTEND CONFIG` accepts `0` or a negative integer through the default config 
handler; `0` makes `Daemon.run()` loop without sleeping, while 
`Thread.sleep(-1)` throws an uncaught `IllegalArgumentException` outside the 
daemon cycle's try/catch and permanently stops JobDaemon. Please reject 
non-positive values with a config callback and cover those updates in the 
scheduler tests before applying the interval.



##########
fe/fe-core/src/main/java/org/apache/doris/cloud/CacheHotspotManager.java:
##########
@@ -1504,28 +1524,86 @@ public void 
cancelTableFilterJobsForClusterChange(String clusterName, String rea
         }
     }
 
-    private void runCloudWarmUpJob() {
-        runnableCloudWarmUpJobs.values().forEach(cloudWarmUpJob -> {
-            if (cloudWarmUpJob.shouldWait()) {
-                return;
+    @VisibleForTesting
+    void runCloudWarmUpJob() {
+        int maxActiveJobs = Config.max_active_cloud_warm_up_job;
+        if (maxActiveJobs <= 0) {
+            return;
+        }
+
+        if (cloudWarmUpThreadPool.getMaximumPoolSize() != maxActiveJobs) {
+            cloudWarmUpThreadPool.setMaximumPoolSize(maxActiveJobs);
+            LOG.info("resize cloud warm up thread pool to {}", maxActiveJobs);
+        }
+
+        int availableSlots = maxActiveJobs - activeCloudWarmUpJobs.size();
+        if (availableSlots <= 0) {
+            return;
+        }
+
+        // A smaller last-scheduled sequence has higher priority, and 
never-scheduled jobs use sequence 0.
+        // For the same sequence, prefer ONCE jobs, then earlier creation 
time, then smaller job ID.
+        Comparator<CloudWarmUpJob> schedulePriority = Comparator
+                .comparingLong((CloudWarmUpJob job) ->
+                        
cloudWarmUpJobLastScheduleSeq.getOrDefault(job.getJobId(), 0L))
+                .thenComparingInt(job -> job.isOnce() ? 0 : 1)
+                .thenComparingLong(CloudWarmUpJob::getCreateTimeMs)
+                .thenComparingLong(CloudWarmUpJob::getJobId);
+
+        // Keep only the highest-priority jobs needed by this cycle. The 
reversed comparator keeps
+        // the lowest-priority selected job at the heap top so it can be 
replaced during the scan.
+        PriorityQueue<CloudWarmUpJob> candidates = new 
PriorityQueue<>(availableSlots, schedulePriority.reversed());

Review Comment:
   This constructor eagerly allocates an `Object[availableSlots]` on every 
scheduler cycle. Because `max_active_cloud_warm_up_job` is mutable and has no 
upper bound, a high limit causes allocation proportional to the limit even when 
only one job is runnable (for example, one million slots is roughly a 
million-reference array each second), and a larger accepted value can 
repeatedly OOM the daemon. Please use a small/candidate-bounded initial 
capacity while keeping `availableSlots` only as the logical heap-size limit.



##########
fe/fe-core/src/main/java/org/apache/doris/cloud/CacheHotspotManager.java:
##########
@@ -1504,28 +1524,86 @@ public void 
cancelTableFilterJobsForClusterChange(String clusterName, String rea
         }
     }
 
-    private void runCloudWarmUpJob() {
-        runnableCloudWarmUpJobs.values().forEach(cloudWarmUpJob -> {
-            if (cloudWarmUpJob.shouldWait()) {
-                return;
+    @VisibleForTesting
+    void runCloudWarmUpJob() {
+        int maxActiveJobs = Config.max_active_cloud_warm_up_job;
+        if (maxActiveJobs <= 0) {
+            return;
+        }
+
+        if (cloudWarmUpThreadPool.getMaximumPoolSize() != maxActiveJobs) {
+            cloudWarmUpThreadPool.setMaximumPoolSize(maxActiveJobs);
+            LOG.info("resize cloud warm up thread pool to {}", maxActiveJobs);
+        }
+
+        int availableSlots = maxActiveJobs - activeCloudWarmUpJobs.size();
+        if (availableSlots <= 0) {
+            return;
+        }
+
+        // A smaller last-scheduled sequence has higher priority, and 
never-scheduled jobs use sequence 0.
+        // For the same sequence, prefer ONCE jobs, then earlier creation 
time, then smaller job ID.
+        Comparator<CloudWarmUpJob> schedulePriority = Comparator
+                .comparingLong((CloudWarmUpJob job) ->
+                        
cloudWarmUpJobLastScheduleSeq.getOrDefault(job.getJobId(), 0L))
+                .thenComparingInt(job -> job.isOnce() ? 0 : 1)
+                .thenComparingLong(CloudWarmUpJob::getCreateTimeMs)
+                .thenComparingLong(CloudWarmUpJob::getJobId);
+
+        // Keep only the highest-priority jobs needed by this cycle. The 
reversed comparator keeps
+        // the lowest-priority selected job at the heap top so it can be 
replaced during the scan.
+        PriorityQueue<CloudWarmUpJob> candidates = new 
PriorityQueue<>(availableSlots, schedulePriority.reversed());
+        for (CloudWarmUpJob job : runnableCloudWarmUpJobs.values()) {
+            if (job.shouldWait() || job.isDone() || 
activeCloudWarmUpJobs.containsKey(job.getJobId())) {
+                continue;
             }
-            if (!cloudWarmUpJob.isDone() && 
!activeCloudWarmUpJobs.containsKey(cloudWarmUpJob.getJobId())
-                    && activeCloudWarmUpJobs.size() < 
Config.max_active_cloud_warm_up_job) {
-                if (FeConstants.runningUnitTest) {
-                    cloudWarmUpJob.run();
-                } else {
-                    cloudWarmUpThreadPool.submit(() -> {
-                        if 
(activeCloudWarmUpJobs.putIfAbsent(cloudWarmUpJob.getJobId(), cloudWarmUpJob) 
== null) {
-                            try {
-                                cloudWarmUpJob.run();
-                            } finally {
-                                
activeCloudWarmUpJobs.remove(cloudWarmUpJob.getJobId());
-                            }
-                        }
-                    });
+            if (candidates.size() < availableSlots) {
+                candidates.offer(job);
+            } else if (schedulePriority.compare(job, candidates.peek()) < 0) {
+                candidates.poll();
+                candidates.offer(job);
+            }
+        }
+
+        List<CloudWarmUpJob> jobsToSchedule = new ArrayList<>(candidates);
+        jobsToSchedule.sort(schedulePriority);
+
+        for (CloudWarmUpJob job : jobsToSchedule) {
+            if (availableSlots <= 0) {
+                break;
+            }
+            long jobId = job.getJobId();
+            if (activeCloudWarmUpJobs.putIfAbsent(jobId, job) != null) {
+                continue;
+            }
+
+            if (FeConstants.runningUnitTest) {
+                cloudWarmUpJobLastScheduleSeq.put(jobId, 
cloudWarmUpJobScheduleSeq.incrementAndGet());
+                try {
+                    job.run();
+                } finally {
+                    activeCloudWarmUpJobs.remove(jobId, job);
                 }
+                --availableSlots;
+                continue;
             }
-        });
+
+            try {
+                cloudWarmUpThreadPool.execute(() -> {

Review Comment:
   Sorting the `execute()` calls does not guarantee the advertised ONCE-first 
useful turn in production. A PENDING ONCE job and a PENDING PERIODIC job may 
legally share a destination; the core-0 `SynchronousQueue` pool starts separate 
workers, and the worker for the later-submitted periodic job can reach 
`tryRegisterRunningJob()` first. It then holds the destination registration 
across later RUNNING steps, leaving the preferred ONCE job blocked. The 
synchronous Mockito executor makes this inversion impossible. Please 
reserve/admit a destination in comparator order and cover the 
delayed-first-worker interleaving with a real concurrent-executor test.



##########
fe/fe-core/src/test/java/org/apache/doris/cloud/CacheHotspotManagerSchedulerTest.java:
##########
@@ -0,0 +1,149 @@
+// 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.doris.cloud;
+
+import org.apache.doris.cloud.system.CloudSystemInfoService;
+import org.apache.doris.common.Config;
+import org.apache.doris.common.FeConstants;
+
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+import org.mockito.Mockito;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.concurrent.RejectedExecutionException;
+import java.util.concurrent.ThreadPoolExecutor;
+import java.util.concurrent.atomic.AtomicInteger;
+
+public class CacheHotspotManagerSchedulerTest {
+    private boolean originalRunningUnitTest;
+    private int originalMaxActiveCloudWarmUpJob;
+    private ThreadPoolExecutor executor;
+    private CacheHotspotManager manager;
+
+    @Before
+    public void setUp() {
+        originalRunningUnitTest = FeConstants.runningUnitTest;
+        originalMaxActiveCloudWarmUpJob = Config.max_active_cloud_warm_up_job;
+        FeConstants.runningUnitTest = false;
+        Config.max_active_cloud_warm_up_job = 2;
+
+        executor = Mockito.mock(ThreadPoolExecutor.class);

Review Comment:
   All scheduler tests inject a mocked executor, and the rejection test throws 
directly from that mock. This does not protect the production wiring the fix 
depends on: if the public constructor regresses to the old silent-discard 
cached pool, saturated `execute()` returns normally, the scheduler records 
history, and the discarded runnable never reaches `finally` to remove its 
reservation—yet every test here still passes. Please add a real one-worker 
`SynchronousQueue`/throwing-policy test with latches to force rejection and 
retry, or at least assert the public constructor's queue and rejection handler.



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