P::PhysicalPtr ReduceGroupByAttributes::apply(const P::PhysicalPtr &input) {
DCHECK(input->getPhysicalType() == P::PhysicalType::kTopLevelPlan);
cost_model_.reset(new cost::StarSchemaSimpleCostModel(
std::static_pointer_cast<const P::TopLevelPlan>(input)->shared_subplans()));
P::PhysicalPtr output = applyInternal(input);
if (output != input) {
output = PruneColumns().apply(output);
}
return output;
}
P::PhysicalPtr InjectJoinFilters::apply(const P::PhysicalPtr &input) {
DCHECK(input->getPhysicalType() == P::PhysicalType::kTopLevelPlan);
const P::TopLevelPlanPtr top_level_plan =
std::static_pointer_cast<const P::TopLevelPlan>(input);
cost_model_.reset(
new cost::StarSchemaSimpleCostModel(
top_level_plan->shared_subplans()));
lip_filter_configuration_.reset(new P::LIPFilterConfiguration());
// Step 1. Transform applicable HashJoin nodes to FilterJoin nodes.
P::PhysicalPtr output = transformHashJoinToFilters(input);
if (output == input) {
return input;
}
// Step 2. If the top level plan is a filter join, wrap it with a Selection
// to stabilize output columns.
output = wrapSelection(output);
// Step 3. Push down FilterJoin nodes to be evaluated early.
output = pushDownFilters(output);
// Step 4. Add Selection nodes for attaching the LIPFilters, if necessary.
output = addFilterAnchors(output, false);
// Step 5. Because of the pushdown of FilterJoin nodes, there are optimization
// opportunities for projecting columns early.
output = PruneColumns().apply(output);
// Step 6. For each FilterJoin node, attach its corresponding LIPFilter to
// proper nodes.
concretizeAsLIPFilters(output, nullptr);
if (!lip_filter_configuration_->getBuildInfoMap().empty() ||
!lip_filter_configuration_->getProbeInfoMap().empty()) {
output = std::static_pointer_cast<const P::TopLevelPlan>(output)
->copyWithLIPFilterConfiguration(
P::LIPFilterConfigurationPtr(lip_filter_configuration_.release()));
}
return output;
}
