OptimizeGroupJob.java
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package org.apache.doris.nereids.jobs.cascades;
import org.apache.doris.nereids.jobs.Job;
import org.apache.doris.nereids.jobs.JobContext;
import org.apache.doris.nereids.jobs.JobType;
import org.apache.doris.nereids.memo.Group;
import org.apache.doris.nereids.memo.GroupExpression;
import org.apache.doris.nereids.memo.Memo;
import org.apache.doris.nereids.metrics.CounterType;
import org.apache.doris.nereids.metrics.event.CounterEvent;
import java.util.List;
/**
* Job to optimize {@link Group} in {@link org.apache.doris.nereids.memo.Memo}.
*/
public class OptimizeGroupJob extends Job {
private final Group group;
public OptimizeGroupJob(Group group, JobContext context) {
super(JobType.OPTIMIZE_PLAN_SET, context);
this.group = group;
}
@Override
public void execute() {
COUNTER_TRACER.log(CounterEvent.of(Memo.getStateId(), CounterType.JOB_EXECUTION, group, null, null));
if (group.getLowestCostPlan(context.getRequiredProperties()).isPresent()) {
return;
}
if (!group.isExplored()) {
List<GroupExpression> logicalExpressions = group.getLogicalExpressions();
for (int i = logicalExpressions.size() - 1; i >= 0; i--) {
context.getCascadesContext().pushJob(
new OptimizeGroupExpressionJob(logicalExpressions.get(i), context));
}
}
List<GroupExpression> physicalExpressions = group.getPhysicalExpressions();
for (int i = physicalExpressions.size() - 1; i >= 0; i--) {
context.getCascadesContext().pushJob(new CostAndEnforcerJob(physicalExpressions.get(i), context));
}
group.setExplored(true);
}
}