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The following commit(s) were added to refs/heads/master by this push:
     new 4ba8b278046 [fix](fe) Persist routine load job before scheduling 
(#67681)
4ba8b278046 is described below

commit 4ba8b278046c43fa8c278e3b5461b74826608060
Author: Refrain <[email protected]>
AuthorDate: Mon Sep 28 16:39:59 2026 +0800

    [fix](fe) Persist routine load job before scheduling (#67681)
    
    ### What problem does this PR solve?
    
    Issue Number: None
    
    Related PR: None
    
    Problem Summary:
    
    Routine load creation published a mutable job to the scheduler before
    serializing its create journal. The scheduler could change the job from
    `NEED_SCHEDULE` to `RUNNING` before serialization, while runtime task
    membership was not persisted. Replaying such a create record restored a
    `RUNNING` job with no tasks. With stable source topology, the job could
    remain stuck without consuming data.
    
    This PR makes the create journal durable before publishing the job to
    the scheduler. The scheduler cannot observe or mutate the job while its
    initial `NEED_SCHEDULE` state is being serialized.
    
    Before:
    
    ```text
    publish job -> scheduler may change it to RUNNING -> serialize create 
journal
    ```
    
    After:
    
    ```text
    serialize create journal in NEED_SCHEDULE -> publish job -> scheduler 
creates tasks
    ```
    
    The change does not modify `RoutineLoadJob.read()` or normalize states
    during replay. There are no deployed historical Kinesis create records
    that require compatibility recovery, and existing Kafka replay behavior
    remains unchanged.
    
    #### Separate cloud Kafka follow-up found during review
    
    While evaluating a broader replay-time `RUNNING` to `NEED_SCHEDULE`
    conversion, we found an independent ordering issue in cloud Kafka
    automatic-partition recovery. `isKafkaPartitionsChanged()` can update
    `currentKafkaPartitions` before `updateCloudProgress()` successfully
    fetches the authoritative offset from Meta Service. If that fetch fails,
    a later scheduler round can see stable topology and skip the Meta
    Service retry. A recovery path that makes the job schedulable at that
    point could create a task from stale FE metadata, repeat already
    committed data, and regress stored routine-load progress.
    
    This PR does not add that replay-time conversion and therefore does not
    change or expose the cloud Kafka path. The cloud issue will be handled
    separately by making authoritative Meta Service progress synchronization
    a prerequisite for task creation and preserving the retry requirement
    across scheduler rounds.
---
 .../doris/load/routineload/RoutineLoadManager.java |   3 +-
 .../routineload/RoutineLoadJobPersistenceTest.java | 146 +++++++++++++++++++++
 2 files changed, 148 insertions(+), 1 deletion(-)

diff --git 
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
 
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
index 316ab79e423..e649a4edc7f 100644
--- 
a/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
+++ 
b/fe/fe-core/src/main/java/org/apache/doris/load/routineload/RoutineLoadManager.java
@@ -243,8 +243,9 @@ public class RoutineLoadManager implements Writable {
                         + " routine load jobs are running. exceed limit.");
             }
 
-            unprotectedAddJob(routineLoadJob);
+            // Persist the initial job before the scheduler can change its 
state or create tasks.
             
Env.getCurrentEnv().getEditLog().logCreateRoutineLoadJob(routineLoadJob);
+            unprotectedAddJob(routineLoadJob);
         } finally {
             writeUnlock();
         }
diff --git 
a/fe/fe-core/src/test/java/org/apache/doris/load/routineload/RoutineLoadJobPersistenceTest.java
 
b/fe/fe-core/src/test/java/org/apache/doris/load/routineload/RoutineLoadJobPersistenceTest.java
new file mode 100644
index 00000000000..801831bf74c
--- /dev/null
+++ 
b/fe/fe-core/src/test/java/org/apache/doris/load/routineload/RoutineLoadJobPersistenceTest.java
@@ -0,0 +1,146 @@
+// 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.load.routineload;
+
+import org.apache.doris.analysis.UserIdentity;
+import org.apache.doris.catalog.Env;
+import org.apache.doris.common.io.Text;
+import org.apache.doris.common.io.Writable;
+import org.apache.doris.common.jmockit.Deencapsulation;
+import org.apache.doris.load.routineload.RoutineLoadJob.JobState;
+import org.apache.doris.load.routineload.kafka.KafkaProgress;
+import org.apache.doris.load.routineload.kafka.KafkaRoutineLoadJob;
+import org.apache.doris.load.routineload.kinesis.KinesisProgress;
+import org.apache.doris.load.routineload.kinesis.KinesisRoutineLoadJob;
+import org.apache.doris.persist.EditLog;
+import org.apache.doris.qe.ConnectContext;
+import org.apache.doris.transaction.GlobalTransactionMgrIface;
+import org.apache.doris.transaction.TxnStateCallbackFactory;
+
+import com.google.common.collect.Lists;
+import com.google.gson.JsonParser;
+import org.junit.jupiter.api.AfterEach;
+import org.junit.jupiter.api.Assertions;
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.params.ParameterizedTest;
+import org.junit.jupiter.params.provider.EnumSource;
+import org.mockito.MockedStatic;
+import org.mockito.Mockito;
+
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.DataInputStream;
+import java.io.DataOutputStream;
+import java.io.IOException;
+import java.util.EnumSet;
+import java.util.Map;
+
+public class RoutineLoadJobPersistenceTest {
+    private MockedStatic<Env> envMock;
+    private ConnectContext previousContext;
+    private EditLog editLog;
+    private RoutineLoadManager manager;
+    private TxnStateCallbackFactory callbackFactory;
+
+    @BeforeEach
+    public void setUp() {
+        previousContext = ConnectContext.get();
+        ConnectContext.remove();
+        envMock = Mockito.mockStatic(Env.class);
+        Env env = Mockito.mock(Env.class);
+        GlobalTransactionMgrIface transactionMgr = 
Mockito.mock(GlobalTransactionMgrIface.class);
+        editLog = Mockito.mock(EditLog.class);
+        manager = new RoutineLoadManager();
+        callbackFactory = new TxnStateCallbackFactory();
+        envMock.when(Env::getCurrentEnv).thenReturn(env);
+        
envMock.when(Env::getCurrentGlobalTransactionMgr).thenReturn(transactionMgr);
+        Mockito.when(env.getEditLog()).thenReturn(editLog);
+        Mockito.when(env.getRoutineLoadManager()).thenReturn(manager);
+        
Mockito.when(env.getRoutineLoadTaskScheduler()).thenReturn(Mockito.mock(RoutineLoadTaskScheduler.class));
+        
Mockito.when(transactionMgr.getCallbackFactory()).thenReturn(callbackFactory);
+    }
+
+    @AfterEach
+    public void tearDown() {
+        envMock.close();
+        ConnectContext.remove();
+        if (previousContext != null) {
+            previousContext.setThreadLocalInfo();
+        }
+    }
+
+    @ParameterizedTest
+    @EnumSource(value = LoadDataSourceType.class, names = {"KAFKA", "KINESIS"})
+    public void testCreateJournalBeforePublishingJob(LoadDataSourceType 
dataSourceType) throws Exception {
+        RoutineLoadJob job = createJob(dataSourceType);
+        Mockito.doAnswer(invocation -> {
+            // Exercise scheduling at the old race window, before the create 
record is serialized.
+            for (RoutineLoadJob visibleJob : 
manager.getRoutineLoadJobByState(EnumSet.of(JobState.NEED_SCHEDULE))) {
+                setSourceProgress(visibleJob, dataSourceType);
+                visibleJob.divideRoutineLoadJob(1);
+            }
+            byte[] record = serialize(invocation.getArgument(0));
+            Assertions.assertEquals(JobState.NEED_SCHEDULE.name(), 
serializedState(record));
+            Assertions.assertNull(manager.getJob(job.getId()));
+            Assertions.assertNull(callbackFactory.getCallback(job.getId()));
+            Assertions.assertEquals(0, job.getSizeOfRoutineLoadTaskInfoList());
+            return null;
+        }).when(editLog).logCreateRoutineLoadJob(job);
+
+        manager.addRoutineLoadJob(job, "db", "tbl");
+
+        Mockito.verify(editLog).logCreateRoutineLoadJob(job);
+        Assertions.assertSame(job, manager.getJob(job.getId()));
+        Assertions.assertSame(job, callbackFactory.getCallback(job.getId()));
+        setSourceProgress(job, dataSourceType);
+        job.divideRoutineLoadJob(1);
+        Assertions.assertEquals(JobState.RUNNING, job.getState());
+        Assertions.assertEquals(1, job.getSizeOfRoutineLoadTaskInfoList());
+    }
+
+    private RoutineLoadJob createJob(LoadDataSourceType dataSourceType) {
+        if (dataSourceType == LoadDataSourceType.KINESIS) {
+            return new KinesisRoutineLoadJob(1L, "job", 1L, 1L, "us-east-1", 
"stream", UserIdentity.ADMIN);
+        }
+        return new KafkaRoutineLoadJob(1L, "job", 1L, 1L, "127.0.0.1:9092", 
"topic", UserIdentity.ADMIN);
+    }
+
+    private void setSourceProgress(RoutineLoadJob job, LoadDataSourceType 
dataSourceType) {
+        if (dataSourceType == LoadDataSourceType.KINESIS) {
+            job.progress = new KinesisProgress(Map.of("shard-0", "100"));
+            Deencapsulation.setField(job, "openKinesisShards", 
Lists.newArrayList("shard-0"));
+        } else {
+            job.progress = new KafkaProgress(Map.of(0, 100L));
+            Deencapsulation.setField(job, "currentKafkaPartitions", 
Lists.newArrayList(0));
+        }
+    }
+
+    private byte[] serialize(Writable value) throws IOException {
+        ByteArrayOutputStream bytes = new ByteArrayOutputStream();
+        try (DataOutputStream out = new DataOutputStream(bytes)) {
+            value.write(out);
+        }
+        return bytes.toByteArray();
+    }
+
+    private String serializedState(byte[] record) throws IOException {
+        try (DataInputStream in = new DataInputStream(new 
ByteArrayInputStream(record))) {
+            return 
JsonParser.parseString(Text.readString(in)).getAsJsonObject().get("st").getAsString();
+        }
+    }
+}


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