use of org.apache.calcite.rel.RelNode in project flink by apache.
the class FlinkRelDecorrelator method decorrelateRel.
/**
* Rewrites a {@link LogicalAggregate}.
*
* @param rel Aggregate to rewrite
*/
public Frame decorrelateRel(LogicalAggregate rel) {
if (rel.getGroupType() != Aggregate.Group.SIMPLE) {
throw new AssertionError(Bug.CALCITE_461_FIXED);
}
// Aggregate itself should not reference cor vars.
assert !cm.mapRefRelToCorVar.containsKey(rel);
final RelNode oldInput = rel.getInput();
final Frame frame = getInvoke(oldInput, rel);
if (frame == null) {
// If input has not been rewritten, do not rewrite this rel.
return null;
}
final RelNode newInput = frame.r;
// map from newInput
Map<Integer, Integer> mapNewInputToProjOutputPos = Maps.newHashMap();
final int oldGroupKeyCount = rel.getGroupSet().cardinality();
// Project projects the original expressions,
// plus any correlated variables the input wants to pass along.
final List<Pair<RexNode, String>> projects = Lists.newArrayList();
List<RelDataTypeField> newInputOutput = newInput.getRowType().getFieldList();
int newPos = 0;
// oldInput has the original group by keys in the front.
final NavigableMap<Integer, RexLiteral> omittedConstants = new TreeMap<>();
for (int i = 0; i < oldGroupKeyCount; i++) {
final RexLiteral constant = projectedLiteral(newInput, i);
if (constant != null) {
// Exclude constants. Aggregate({true}) occurs because Aggregate({})
// would generate 1 row even when applied to an empty table.
omittedConstants.put(i, constant);
continue;
}
int newInputPos = frame.oldToNewOutputPos.get(i);
projects.add(RexInputRef.of2(newInputPos, newInputOutput));
mapNewInputToProjOutputPos.put(newInputPos, newPos);
newPos++;
}
final SortedMap<Correlation, Integer> mapCorVarToOutputPos = new TreeMap<>();
if (!frame.corVarOutputPos.isEmpty()) {
// position oldGroupKeyCount.
for (Map.Entry<Correlation, Integer> entry : frame.corVarOutputPos.entrySet()) {
projects.add(RexInputRef.of2(entry.getValue(), newInputOutput));
mapCorVarToOutputPos.put(entry.getKey(), newPos);
mapNewInputToProjOutputPos.put(entry.getValue(), newPos);
newPos++;
}
}
// add the remaining fields
final int newGroupKeyCount = newPos;
for (int i = 0; i < newInputOutput.size(); i++) {
if (!mapNewInputToProjOutputPos.containsKey(i)) {
projects.add(RexInputRef.of2(i, newInputOutput));
mapNewInputToProjOutputPos.put(i, newPos);
newPos++;
}
}
assert newPos == newInputOutput.size();
// This Project will be what the old input maps to,
// replacing any previous mapping from old input).
RelNode newProject = RelOptUtil.createProject(newInput, projects, false);
// update mappings:
// oldInput ----> newInput
//
// newProject
// |
// oldInput ----> newInput
//
// is transformed to
//
// oldInput ----> newProject
// |
// newInput
Map<Integer, Integer> combinedMap = Maps.newHashMap();
for (Integer oldInputPos : frame.oldToNewOutputPos.keySet()) {
combinedMap.put(oldInputPos, mapNewInputToProjOutputPos.get(frame.oldToNewOutputPos.get(oldInputPos)));
}
register(oldInput, newProject, combinedMap, mapCorVarToOutputPos);
// now it's time to rewrite the Aggregate
final ImmutableBitSet newGroupSet = ImmutableBitSet.range(newGroupKeyCount);
List<AggregateCall> newAggCalls = Lists.newArrayList();
List<AggregateCall> oldAggCalls = rel.getAggCallList();
int oldInputOutputFieldCount = rel.getGroupSet().cardinality();
int newInputOutputFieldCount = newGroupSet.cardinality();
int i = -1;
for (AggregateCall oldAggCall : oldAggCalls) {
++i;
List<Integer> oldAggArgs = oldAggCall.getArgList();
List<Integer> aggArgs = Lists.newArrayList();
// for the argument.
for (int oldPos : oldAggArgs) {
aggArgs.add(combinedMap.get(oldPos));
}
final int filterArg = oldAggCall.filterArg < 0 ? oldAggCall.filterArg : combinedMap.get(oldAggCall.filterArg);
newAggCalls.add(oldAggCall.adaptTo(newProject, aggArgs, filterArg, oldGroupKeyCount, newGroupKeyCount));
// The old to new output position mapping will be the same as that
// of newProject, plus any aggregates that the oldAgg produces.
combinedMap.put(oldInputOutputFieldCount + i, newInputOutputFieldCount + i);
}
relBuilder.push(LogicalAggregate.create(newProject, false, newGroupSet, null, newAggCalls));
if (!omittedConstants.isEmpty()) {
final List<RexNode> postProjects = new ArrayList<>(relBuilder.fields());
for (Map.Entry<Integer, RexLiteral> entry : omittedConstants.descendingMap().entrySet()) {
postProjects.add(entry.getKey() + frame.corVarOutputPos.size(), entry.getValue());
}
relBuilder.project(postProjects);
}
// located at the same position as the input newProject.
return register(rel, relBuilder.build(), combinedMap, mapCorVarToOutputPos);
}
use of org.apache.calcite.rel.RelNode in project flink by apache.
the class FlinkRelDecorrelator method decorrelateRel.
/**
* Rewrite LogicalProject.
*
* @param rel the project rel to rewrite
*/
public Frame decorrelateRel(LogicalProject rel) {
//
// Rewrite logic:
//
// 1. Pass along any correlated variables coming from the input.
//
final RelNode oldInput = rel.getInput();
Frame frame = getInvoke(oldInput, rel);
if (frame == null) {
// If input has not been rewritten, do not rewrite this rel.
return null;
}
final List<RexNode> oldProjects = rel.getProjects();
final List<RelDataTypeField> relOutput = rel.getRowType().getFieldList();
// LogicalProject projects the original expressions,
// plus any correlated variables the input wants to pass along.
final List<Pair<RexNode, String>> projects = Lists.newArrayList();
// and produce the correlated variables in the new output.
if (cm.mapRefRelToCorVar.containsKey(rel)) {
decorrelateInputWithValueGenerator(rel);
// The old input should be mapped to the LogicalJoin created by
// rewriteInputWithValueGenerator().
frame = map.get(oldInput);
}
// LogicalProject projects the original expressions
final Map<Integer, Integer> mapOldToNewOutputPos = Maps.newHashMap();
int newPos;
for (newPos = 0; newPos < oldProjects.size(); newPos++) {
projects.add(newPos, Pair.of(decorrelateExpr(oldProjects.get(newPos)), relOutput.get(newPos).getName()));
mapOldToNewOutputPos.put(newPos, newPos);
}
// Project any correlated variables the input wants to pass along.
final SortedMap<Correlation, Integer> mapCorVarToOutputPos = new TreeMap<>();
for (Map.Entry<Correlation, Integer> entry : frame.corVarOutputPos.entrySet()) {
projects.add(RexInputRef.of2(entry.getValue(), frame.r.getRowType().getFieldList()));
mapCorVarToOutputPos.put(entry.getKey(), newPos);
newPos++;
}
RelNode newProject = RelOptUtil.createProject(frame.r, projects, false);
return register(rel, newProject, mapOldToNewOutputPos, mapCorVarToOutputPos);
}
use of org.apache.calcite.rel.RelNode in project flink by apache.
the class FlinkRelDecorrelator method decorrelateRel.
/**
* Rewrite Correlator into a left outer join.
*
* @param rel Correlator
*/
public Frame decorrelateRel(LogicalCorrelate rel) {
//
// Rewrite logic:
//
// The original left input will be joined with the new right input that
// has generated correlated variables propagated up. For any generated
// cor vars that are not used in the join key, pass them along to be
// joined later with the CorrelatorRels that produce them.
//
// the right input to Correlator should produce correlated variables
final RelNode oldLeft = rel.getInput(0);
final RelNode oldRight = rel.getInput(1);
final Frame leftFrame = getInvoke(oldLeft, rel);
final Frame rightFrame = getInvoke(oldRight, rel);
if (leftFrame == null || rightFrame == null) {
// If any input has not been rewritten, do not rewrite this rel.
return null;
}
if (rightFrame.corVarOutputPos.isEmpty()) {
return null;
}
assert rel.getRequiredColumns().cardinality() <= rightFrame.corVarOutputPos.keySet().size();
// Change correlator rel into a join.
// Join all the correlated variables produced by this correlator rel
// with the values generated and propagated from the right input
final SortedMap<Correlation, Integer> corVarOutputPos = new TreeMap<>(rightFrame.corVarOutputPos);
final List<RexNode> conditions = new ArrayList<>();
final List<RelDataTypeField> newLeftOutput = leftFrame.r.getRowType().getFieldList();
int newLeftFieldCount = newLeftOutput.size();
final List<RelDataTypeField> newRightOutput = rightFrame.r.getRowType().getFieldList();
for (Map.Entry<Correlation, Integer> rightOutputPos : Lists.newArrayList(corVarOutputPos.entrySet())) {
final Correlation corVar = rightOutputPos.getKey();
if (!corVar.corr.equals(rel.getCorrelationId())) {
continue;
}
final int newLeftPos = leftFrame.oldToNewOutputPos.get(corVar.field);
final int newRightPos = rightOutputPos.getValue();
conditions.add(rexBuilder.makeCall(SqlStdOperatorTable.EQUALS, RexInputRef.of(newLeftPos, newLeftOutput), new RexInputRef(newLeftFieldCount + newRightPos, newRightOutput.get(newRightPos).getType())));
// remove this cor var from output position mapping
corVarOutputPos.remove(corVar);
}
// vars that are not used in the join key.
for (Correlation corVar : corVarOutputPos.keySet()) {
int newPos = corVarOutputPos.get(corVar) + newLeftFieldCount;
corVarOutputPos.put(corVar, newPos);
}
// then add any cor var from the left input. Do not need to change
// output positions.
corVarOutputPos.putAll(leftFrame.corVarOutputPos);
// Create the mapping between the output of the old correlation rel
// and the new join rel
final Map<Integer, Integer> mapOldToNewOutputPos = Maps.newHashMap();
int oldLeftFieldCount = oldLeft.getRowType().getFieldCount();
int oldRightFieldCount = oldRight.getRowType().getFieldCount();
assert rel.getRowType().getFieldCount() == oldLeftFieldCount + oldRightFieldCount;
// Left input positions are not changed.
mapOldToNewOutputPos.putAll(leftFrame.oldToNewOutputPos);
// Right input positions are shifted by newLeftFieldCount.
for (int i = 0; i < oldRightFieldCount; i++) {
mapOldToNewOutputPos.put(i + oldLeftFieldCount, rightFrame.oldToNewOutputPos.get(i) + newLeftFieldCount);
}
final RexNode condition = RexUtil.composeConjunction(rexBuilder, conditions, false);
RelNode newJoin = LogicalJoin.create(leftFrame.r, rightFrame.r, condition, ImmutableSet.<CorrelationId>of(), rel.getJoinType().toJoinType());
return register(rel, newJoin, mapOldToNewOutputPos, corVarOutputPos);
}
use of org.apache.calcite.rel.RelNode in project flink by apache.
the class FlinkRelDecorrelator method decorrelate.
private RelNode decorrelate(RelNode root) {
// first adjust count() expression if any
HepProgram program = HepProgram.builder().addRuleInstance(new AdjustProjectForCountAggregateRule(false)).addRuleInstance(new AdjustProjectForCountAggregateRule(true)).addRuleInstance(FilterJoinRule.FILTER_ON_JOIN).addRuleInstance(FilterProjectTransposeRule.INSTANCE).addRuleInstance(FilterCorrelateRule.INSTANCE).build();
HepPlanner planner = createPlanner(program);
planner.setRoot(root);
root = planner.findBestExp();
// Perform decorrelation.
map.clear();
final Frame frame = getInvoke(root, null);
if (frame != null) {
// has been rewritten; apply rules post-decorrelation
final HepProgram program2 = HepProgram.builder().addRuleInstance(FilterJoinRule.FILTER_ON_JOIN).addRuleInstance(FilterJoinRule.JOIN).build();
final HepPlanner planner2 = createPlanner(program2);
final RelNode newRoot = frame.r;
planner2.setRoot(newRoot);
return planner2.findBestExp();
}
return root;
}
use of org.apache.calcite.rel.RelNode in project storm by apache.
the class QueryPlanner method validateAndConvert.
private RelNode validateAndConvert(SqlNode sqlNode) throws ValidationException, RelConversionException {
SqlNode validated = validateNode(sqlNode);
RelNode relNode = convertToRelNode(validated);
return convertToStormRel(relNode);
}
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