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[Coral-Incremental] Cost calculation for RelNode #516

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Original file line number Diff line number Diff line change
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/**
* Copyright 2024 LinkedIn Corporation. All rights reserved.
* Licensed under the BSD-2 Clause license.
* See LICENSE in the project root for license information.
*/
package com.linkedin.coral.incremental;

public class CostInfo {
// TODO: we may also need to add TableName field.
Double cost;
Double row;

public CostInfo(Double cost, Double row) {
this.cost = cost;
this.row = row;
}
}
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/**
* Copyright 2024 LinkedIn Corporation. All rights reserved.
* Licensed under the BSD-2 Clause license.
* See LICENSE in the project root for license information.
*/
package com.linkedin.coral.incremental;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;

import org.apache.calcite.plan.RelOptTable;
import org.apache.calcite.rel.RelNode;
import org.apache.calcite.rel.core.TableScan;
import org.apache.calcite.rel.logical.LogicalJoin;
import org.apache.calcite.rel.logical.LogicalProject;
import org.apache.calcite.rel.logical.LogicalUnion;
import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rel.type.RelDataTypeField;
import org.apache.calcite.rex.RexCall;
import org.apache.calcite.rex.RexInputRef;
import org.apache.calcite.rex.RexNode;

import static java.lang.Math.*;


public class RelNodeCostEstimator {
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class JoinKey {
String leftTableName;
String rightTableName;
String leftFieldName;
String rightFieldName;

public JoinKey(String leftTableName, String rightTableName, String leftFieldName, String rightFieldName) {
this.leftTableName = leftTableName;
this.rightTableName = rightTableName;
this.leftFieldName = leftFieldName;
this.rightFieldName = rightFieldName;
}
}

private Map<String, Double> stat = new HashMap<>();
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public void setStat(Map<String, Double> stat) {
this.stat = stat;
}

private Double IOCostParam = 1.0;

private Double shuffleCostParam = 1.0;
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public Double getCost(RelNode rel) {
CostInfo executionCostInfo = getExecutionCost(rel);
Double IOCost = executionCostInfo.row * IOCostParam;
return executionCostInfo.cost * shuffleCostParam + IOCost;
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}

public CostInfo getExecutionCost(RelNode rel) {
if (rel instanceof TableScan) {
return getExecutionCostTableScan((TableScan) rel);
} else if (rel instanceof LogicalJoin) {
return getExecutionCostJoin((LogicalJoin) rel);
} else if (rel instanceof LogicalUnion) {
return getExecutionCostUnion((LogicalUnion) rel);
} else if (rel instanceof LogicalProject) {
return getExecutionCostProject((LogicalProject) rel);
}
return new CostInfo(0.0, 0.0);
}
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This is the core cost calculation framework.
It

  1. Walk through the whole RelNode tree and get the cost
  2. Keep the Row Count Information which will be used for IO cost


private CostInfo getExecutionCostTableScan(TableScan scan) {
RelOptTable originalTable = scan.getTable();
String tableName = getTableName(originalTable);
Double row = stat.getOrDefault(tableName, 5.0);
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return new CostInfo(row, row);
}

private String getTableName(RelOptTable table) {
return String.join(".", table.getQualifiedName());
}

private CostInfo getExecutionCostJoin(LogicalJoin join) {
RelNode left = join.getLeft();
RelNode right = join.getRight();
// if (!(left instanceof TableScan) || !(right instanceof TableScan))
// {
// return new CostInfo(0.0, 0.0);
// }
CostInfo leftCost = getExecutionCost(left);
CostInfo rightCost = getExecutionCost(right);
Double joinSize = estimateJoinSize(join, leftCost.row, rightCost.row);
return new CostInfo(max(leftCost.cost, rightCost.cost), joinSize);
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}

private List<JoinKey> findJoinKeys(LogicalJoin join) {
List<JoinKey> joinKeys = new ArrayList<>();
RexNode condition = join.getCondition();
if (condition instanceof RexCall) {
processRexCall((RexCall) condition, join, joinKeys);
}
return joinKeys;
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}

private void processRexCall(RexCall call, LogicalJoin join, List<JoinKey> joinKeys) {
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if (call.getOperator().getName().equalsIgnoreCase("AND")) {
// Process each operand of the AND separately
for (RexNode operand : call.getOperands()) {
if (operand instanceof RexCall) {
processRexCall((RexCall) operand, join, joinKeys);
}
}
} else {
// Process the join condition (e.g., EQUALS)
List<RexNode> operands = call.getOperands();
if (operands.size() == 2 && operands.get(0) instanceof RexInputRef && operands.get(1) instanceof RexInputRef) {
RexInputRef leftRef = (RexInputRef) operands.get(0);
RexInputRef rightRef = (RexInputRef) operands.get(1);
RelDataType leftType = join.getLeft().getRowType();
RelDataType rightType = join.getRight().getRowType();

int leftIndex = leftRef.getIndex();
int rightIndex = rightRef.getIndex() - leftType.getFieldCount();

RelDataTypeField leftField = leftType.getFieldList().get(leftIndex);
String leftTableName = getTableName(join.getLeft().getTable());
String leftFieldName = leftField.getName();
RelDataTypeField rightField = rightType.getFieldList().get(rightIndex);
String rightTableName = getTableName(join.getRight().getTable());
String rightFieldName = rightField.getName();

joinKeys.add(new JoinKey(leftTableName, rightTableName, leftFieldName, rightFieldName));
}
}
}

private Double estimateJoinSelectivity(List<JoinKey> joinKeys) {
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I didn't write the logic now,
it will be from the join key, and from the statistic map info like distinct/row_count to get Selectivity

if (joinKeys.size() == 1 && joinKeys.get(0).leftFieldName == "x") {
return 0.1;
}
return 1.0;
}

private Double estimateJoinSize(LogicalJoin join, Double leftSize, Double rightSize) {
Double selectivity = estimateJoinSelectivity(findJoinKeys(join));
return leftSize * rightSize * selectivity;
}

private CostInfo getExecutionCostUnion(LogicalUnion union) {
Double unionCost = 0.0;
Double unionSize = 0.0;
RelNode input;
for (Iterator var4 = union.getInputs().iterator(); var4.hasNext();) {
input = (RelNode) var4.next();
CostInfo inputCost = getExecutionCost(input);
unionSize += inputCost.row;
unionCost = max(inputCost.cost, unionCost);
}
unionCost *= 1.5;
return new CostInfo(unionCost, unionSize);
}

private CostInfo getExecutionCostProject(LogicalProject project) {
return getExecutionCost(project.getInput());
}
}
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/**
* Copyright 2024 LinkedIn Corporation. All rights reserved.
* Licensed under the BSD-2 Clause license.
* See LICENSE in the project root for license information.
*/
package com.linkedin.coral.incremental;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.IntStream;

import org.apache.calcite.plan.RelOptTable;
import org.apache.calcite.prepare.RelOptTableImpl;
import org.apache.calcite.rel.RelNode;
import org.apache.calcite.rel.RelShuttle;
import org.apache.calcite.rel.RelShuttleImpl;
import org.apache.calcite.rel.core.TableScan;
import org.apache.calcite.rel.logical.LogicalAggregate;
import org.apache.calcite.rel.logical.LogicalFilter;
import org.apache.calcite.rel.logical.LogicalJoin;
import org.apache.calcite.rel.logical.LogicalProject;
import org.apache.calcite.rel.logical.LogicalTableScan;
import org.apache.calcite.rel.logical.LogicalUnion;
import org.apache.calcite.rex.RexBuilder;
import org.apache.calcite.rex.RexNode;


public class RelNodeGenerationTransformer {

static RelNode convertRelPrev(RelNode originalNode) {
RelShuttle converter = new RelShuttleImpl() {
@Override
public RelNode visit(TableScan scan) {
RelOptTable originalTable = scan.getTable();
List<String> incrementalNames = new ArrayList<>(originalTable.getQualifiedName());
String deltaTableName = incrementalNames.remove(incrementalNames.size() - 1) + "_prev";
incrementalNames.add(deltaTableName);
RelOptTable incrementalTable =
RelOptTableImpl.create(originalTable.getRelOptSchema(), originalTable.getRowType(), incrementalNames, null);
return LogicalTableScan.create(scan.getCluster(), incrementalTable);
}

@Override
public RelNode visit(LogicalJoin join) {
RelNode left = join.getLeft();
RelNode right = join.getRight();
RelNode prevLeft = convertRelPrev(left);
RelNode prevRight = convertRelPrev(right);
RexBuilder rexBuilder = join.getCluster().getRexBuilder();

LogicalProject p3 = createProjectOverJoin(join, prevLeft, prevRight, rexBuilder);

return p3;
}

@Override
public RelNode visit(LogicalFilter filter) {
RelNode transformedChild = convertRelPrev(filter.getInput());

return LogicalFilter.create(transformedChild, filter.getCondition());
}

@Override
public RelNode visit(LogicalProject project) {
RelNode transformedChild = convertRelPrev(project.getInput());
return LogicalProject.create(transformedChild, project.getProjects(), project.getRowType());
}

@Override
public RelNode visit(LogicalUnion union) {
List<RelNode> children = union.getInputs();
List<RelNode> transformedChildren =
children.stream().map(child -> convertRelPrev(child)).collect(Collectors.toList());
return LogicalUnion.create(transformedChildren, union.all);
}

@Override
public RelNode visit(LogicalAggregate aggregate) {
RelNode transformedChild = convertRelPrev(aggregate.getInput());
return LogicalAggregate.create(transformedChild, aggregate.getGroupSet(), aggregate.getGroupSets(),
aggregate.getAggCallList());
}
};
return originalNode.accept(converter);
}

private RelNodeGenerationTransformer() {
}

public static RelNode convertRelIncremental(RelNode originalNode) {
RelShuttle converter = new RelShuttleImpl() {
@Override
public RelNode visit(TableScan scan) {
RelOptTable originalTable = scan.getTable();
List<String> incrementalNames = new ArrayList<>(originalTable.getQualifiedName());
String deltaTableName = incrementalNames.remove(incrementalNames.size() - 1) + "_delta";
incrementalNames.add(deltaTableName);
RelOptTable incrementalTable =
RelOptTableImpl.create(originalTable.getRelOptSchema(), originalTable.getRowType(), incrementalNames, null);
return LogicalTableScan.create(scan.getCluster(), incrementalTable);
}

@Override
public RelNode visit(LogicalJoin join) {
RelNode left = join.getLeft();
RelNode right = join.getRight();
RelNode prevLeft = convertRelPrev(left);
RelNode prevRight = convertRelPrev(right);
RelNode incrementalLeft = convertRelIncremental(left);
RelNode incrementalRight = convertRelIncremental(right);

RexBuilder rexBuilder = join.getCluster().getRexBuilder();

LogicalProject p1 = createProjectOverJoin(join, prevLeft, incrementalRight, rexBuilder);
LogicalProject p2 = createProjectOverJoin(join, incrementalLeft, prevRight, rexBuilder);
LogicalProject p3 = createProjectOverJoin(join, incrementalLeft, incrementalRight, rexBuilder);

LogicalUnion unionAllJoins =
LogicalUnion.create(Arrays.asList(LogicalUnion.create(Arrays.asList(p1, p2), true), p3), true);
return unionAllJoins;
}

@Override
public RelNode visit(LogicalFilter filter) {
RelNode transformedChild = convertRelIncremental(filter.getInput());
return LogicalFilter.create(transformedChild, filter.getCondition());
}

@Override
public RelNode visit(LogicalProject project) {
RelNode transformedChild = convertRelIncremental(project.getInput());
return LogicalProject.create(transformedChild, project.getProjects(), project.getRowType());
}

@Override
public RelNode visit(LogicalUnion union) {
List<RelNode> children = union.getInputs();
List<RelNode> transformedChildren =
children.stream().map(child -> convertRelIncremental(child)).collect(Collectors.toList());
return LogicalUnion.create(transformedChildren, union.all);
}

@Override
public RelNode visit(LogicalAggregate aggregate) {
RelNode transformedChild = convertRelIncremental(aggregate.getInput());
return LogicalAggregate.create(transformedChild, aggregate.getGroupSet(), aggregate.getGroupSets(),
aggregate.getAggCallList());
}
};
return originalNode.accept(converter);
}

private static LogicalProject createProjectOverJoin(LogicalJoin join, RelNode left, RelNode right,
RexBuilder rexBuilder) {
LogicalJoin incrementalJoin =
LogicalJoin.create(left, right, join.getCondition(), join.getVariablesSet(), join.getJoinType());
ArrayList<RexNode> projects = new ArrayList<>();
ArrayList<String> names = new ArrayList<>();
IntStream.range(0, incrementalJoin.getRowType().getFieldList().size()).forEach(i -> {
projects.add(rexBuilder.makeInputRef(incrementalJoin, i));
names.add(incrementalJoin.getRowType().getFieldNames().get(i));
});
return LogicalProject.create(incrementalJoin, projects, names);
}
}
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/**
* Copyright 2024 LinkedIn Corporation. All rights reserved.
* Licensed under the BSD-2 Clause license.
* See LICENSE in the project root for license information.
*/
package com.linkedin.coral.incremental;

public class RelNodeCostEstimatorTest {

}
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