/* * 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.drill.exec.planner.physical; import java.io.IOException; import java.util.Collections; import java.util.Iterator; import java.util.List; import org.apache.calcite.rel.metadata.RelMetadataQuery; import org.apache.drill.common.exceptions.DrillRuntimeException; import org.apache.drill.common.exceptions.ExecutionSetupException; import org.apache.drill.exec.physical.base.GroupScan; import org.apache.drill.exec.physical.base.PhysicalOperator; import org.apache.drill.exec.physical.base.ScanStats; import org.apache.drill.exec.planner.cost.DrillCostBase.DrillCostFactory; import org.apache.drill.exec.planner.fragment.DistributionAffinity; import org.apache.drill.exec.planner.physical.visitor.PrelVisitor; import org.apache.drill.exec.record.BatchSchema.SelectionVectorMode; import org.apache.calcite.rel.AbstractRelNode; import org.apache.calcite.rel.RelNode; import org.apache.calcite.rel.RelWriter; import org.apache.calcite.plan.RelOptCluster; import org.apache.calcite.plan.RelOptCost; import org.apache.calcite.plan.RelOptPlanner; import org.apache.calcite.plan.RelTraitSet; import org.apache.calcite.rel.type.RelDataType; public class ScanPrel extends AbstractRelNode implements DrillScanPrel { static final org.slf4j.Logger logger = org.slf4j.LoggerFactory .getLogger(ScanPrel.class); protected final GroupScan groupScan; private final RelDataType rowType; public ScanPrel(RelOptCluster cluster, RelTraitSet traits, GroupScan groupScan, RelDataType rowType) { super(cluster, traits); this.groupScan = getCopy(groupScan); this.rowType = rowType; } @Override public RelNode copy(RelTraitSet traitSet, List<RelNode> inputs) { return new ScanPrel(this.getCluster(), traitSet, groupScan, this.rowType); } @Override protected Object clone() throws CloneNotSupportedException { return new ScanPrel(this.getCluster(), this.getTraitSet(), getCopy(groupScan), this.rowType); } private static GroupScan getCopy(GroupScan scan){ try { return (GroupScan) scan.getNewWithChildren((List<PhysicalOperator>) (Object) Collections.emptyList()); } catch (ExecutionSetupException e) { throw new DrillRuntimeException("Unexpected failure while coping node.", e); } } @Override public PhysicalOperator getPhysicalOperator(PhysicalPlanCreator creator) throws IOException { return creator.addMetadata(this, groupScan); } @Override public GroupScan getGroupScan() { return groupScan; } public static ScanPrel create(RelNode old, RelTraitSet traitSets, GroupScan scan, RelDataType rowType) { return new ScanPrel(old.getCluster(), traitSets, getCopy(scan), rowType); } @Override public RelWriter explainTerms(RelWriter pw) { return super.explainTerms(pw).item("groupscan", groupScan.getDigest()); } @Override public RelDataType deriveRowType() { return this.rowType; } @Override public double estimateRowCount(RelMetadataQuery mq) { final PlannerSettings settings = PrelUtil.getPlannerSettings(getCluster()); return this.groupScan.getScanStats(settings).getRecordCount(); } @Override public RelOptCost computeSelfCost(final RelOptPlanner planner, RelMetadataQuery mq) { final PlannerSettings settings = PrelUtil.getPlannerSettings(planner); final ScanStats stats = this.groupScan.getScanStats(settings); final int columnCount = this.getRowType().getFieldCount(); if(PrelUtil.getSettings(getCluster()).useDefaultCosting()) { return planner.getCostFactory().makeCost(stats.getRecordCount() * columnCount, stats.getCpuCost(), stats.getDiskCost()); } // double rowCount = RelMetadataQuery.getRowCount(this); double rowCount = stats.getRecordCount(); // As DRILL-4083 points out, when columnCount == 0, cpuCost becomes zero, // which makes the costs of HiveScan and HiveDrillNativeParquetScan the same double cpuCost = rowCount * Math.max(columnCount, 1); // For now, assume cpu cost is proportional to row count. // If a positive value for CPU cost is given multiply the default CPU cost by given CPU cost. if (stats.getCpuCost() > 0) { cpuCost *= stats.getCpuCost(); } // Even though scan is reading from disk, in the currently generated plans all plans will // need to read the same amount of data, so keeping the disk io cost 0 is ok for now. // In the future we might consider alternative scans that go against projections or // different compression schemes etc that affect the amount of data read. Such alternatives // would affect both cpu and io cost. double ioCost = 0; DrillCostFactory costFactory = (DrillCostFactory)planner.getCostFactory(); return costFactory.makeCost(rowCount, cpuCost, ioCost, 0); } @Override public Iterator<Prel> iterator() { return Collections.emptyIterator(); } @Override public <T, X, E extends Throwable> T accept(PrelVisitor<T, X, E> logicalVisitor, X value) throws E { return logicalVisitor.visitScan(this, value); } @Override public SelectionVectorMode[] getSupportedEncodings() { return SelectionVectorMode.DEFAULT; } @Override public SelectionVectorMode getEncoding() { return SelectionVectorMode.NONE; } @Override public boolean needsFinalColumnReordering() { return true; } @Override public DistributionAffinity getDistributionAffinity() { return groupScan.getDistributionAffinity(); } }