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https://issues.apache.org/jira/browse/GOBBLIN-2057?focusedWorklogId=918586&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-918586
]
ASF GitHub Bot logged work on GOBBLIN-2057:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 09/May/24 18:40
Start Date: 09/May/24 18:40
Worklog Time Spent: 10m
Work Description: umustafi commented on code in PR #3938:
URL: https://github.com/apache/gobblin/pull/3938#discussion_r1595836249
##########
gobblin-service/src/main/java/org/apache/gobblin/service/modules/orchestration/proc/ResumeDagProc.java:
##########
@@ -0,0 +1,113 @@
+/*
+ * 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.gobblin.service.modules.orchestration.proc;
+
+import java.io.IOException;
+import java.util.Map;
+import java.util.Optional;
+import java.util.Set;
+
+import com.google.common.collect.Maps;
+
+import lombok.extern.slf4j.Slf4j;
+
+import org.apache.gobblin.metrics.event.TimingEvent;
+import org.apache.gobblin.service.ExecutionStatus;
+import org.apache.gobblin.service.modules.flowgraph.Dag;
+import
org.apache.gobblin.service.modules.orchestration.DagManagementStateStore;
+import org.apache.gobblin.service.modules.orchestration.DagManagerUtils;
+import org.apache.gobblin.service.modules.orchestration.TimingEventUtils;
+import org.apache.gobblin.service.modules.orchestration.task.ResumeDagTask;
+import org.apache.gobblin.service.modules.spec.JobExecutionPlan;
+
+import static org.apache.gobblin.service.ExecutionStatus.CANCELLED;
+import static org.apache.gobblin.service.ExecutionStatus.FAILED;
+import static org.apache.gobblin.service.ExecutionStatus.PENDING_RESUME;
+
+
+/**
+ * An implementation for {@link DagProc} that resumes a dag and submits the
job that previously failed or was killed.
+ */
+@Slf4j
+public class ResumeDagProc extends DagProc<Optional<Dag<JobExecutionPlan>>> {
+
+ public ResumeDagProc(ResumeDagTask resumeDagTask) {
+ super(resumeDagTask);
+ }
+
+ @Override
+ protected Optional<Dag<JobExecutionPlan>> initialize(DagManagementStateStore
dagManagementStateStore)
+ throws IOException {
+ return dagManagementStateStore.getFailedDag(getDagId());
+ }
+
+ @Override
+ protected void act(DagManagementStateStore dagManagementStateStore,
Optional<Dag<JobExecutionPlan>> dag)
+ throws IOException {
+ log.info("Request to resume dag {}", getDagId());
+
+ if (!dag.isPresent()) {
+ // todo - add a metric here
+ log.error("Dag " + dagId + " was not found in dag state store");
+ return;
+ }
+
+ long flowResumeTime = System.currentTimeMillis();
+
+ // Set the flow and its failed or cancelled nodes to PENDING_RESUME so
that the flow will be resumed from the point before it failed
+ DagManagerUtils.emitFlowEvent(eventSubmitter, dag.get(),
TimingEvent.FlowTimings.FLOW_PENDING_RESUME);
+
+ for (Dag.DagNode<JobExecutionPlan> node : dag.get().getNodes()) {
+ ExecutionStatus executionStatus = node.getValue().getExecutionStatus();
+ if (executionStatus.equals(FAILED) || executionStatus.equals(CANCELLED))
{
+ node.getValue().setExecutionStatus(PENDING_RESUME);
+ // reset currentAttempts because we do not want to count previous
execution's attempts in deciding whether to retry a job
+ node.getValue().setCurrentAttempts(0);
+ DagManagerUtils.incrementJobGeneration(node);
+ Map<String, String> jobMetadata =
TimingEventUtils.getJobMetadata(Maps.newHashMap(), node.getValue());
+
eventSubmitter.getTimingEvent(TimingEvent.LauncherTimings.JOB_PENDING_RESUME).stop(jobMetadata);
+ }
+ // Set flowStartTime so that flow start deadline and flow completion
deadline will be based on current time instead of original flow
+ node.getValue().setFlowStartTime(flowResumeTime);
+ }
+
+ // these two statements effectively move the dag from failed dag store to
(running) dag store
+ dagManagementStateStore.checkpointDag(dag.get());
+ dagManagementStateStore.deleteFailedDag(dag.get());
+
+ resumeDag(dagManagementStateStore, dag.get());
+ }
+
+ private void resumeDag(DagManagementStateStore dagManagementStateStore,
Dag<JobExecutionPlan> dag) {
+ Set<Dag.DagNode<JobExecutionPlan>> nextNodes =
DagManagerUtils.getNext(dag);
+
+ if (nextNodes.size() > 1) {
+ handleMultipleJobs(nextNodes);
+ }
+
+ //Submit jobs from the dag ready for execution.
+ for (Dag.DagNode<JobExecutionPlan> dagNode : nextNodes) {
+ DagProcUtils.submitJobToExecutor(dagManagementStateStore, dagNode,
getDagId());
+ log.info("Submitted job {} for dagId {}",
DagManagerUtils.getJobName(dagNode), getDagId());
+ }
+ }
Review Comment:
in future if there are multiple next jobs are we putting them each as a
separate launch_job action in the store? then we will not need to loop through
`nextNodes` right?
Issue Time Tracking
-------------------
Worklog Id: (was: 918586)
Time Spent: 1h 20m (was: 1h 10m)
> create resume dag proc
> ----------------------
>
> Key: GOBBLIN-2057
> URL: https://issues.apache.org/jira/browse/GOBBLIN-2057
> Project: Apache Gobblin
> Issue Type: Improvement
> Reporter: Arjun Singh Bora
> Priority: Major
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
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