bool Filter::GetOptimalPhysicalPlan(Requirement requirement,PhysicalPlanDescriptor& physical_plan_descriptor, const unsigned & block_size){
PhysicalPlanDescriptor physical_plan;
std::vector<PhysicalPlanDescriptor> candidate_physical_plans;
/* no requirement to the child*/
if(child_->GetOptimalPhysicalPlan(Requirement(),physical_plan)){
NetworkTransfer transfer=requirement.requireNetworkTransfer(physical_plan.dataflow);
if(transfer==NONE){
ExpandableBlockStreamFilter::State state;
state.block_size_=block_size;
state.child_=physical_plan.plan;
state.qual_=qual_;
state.colindex_=colindex_;
state.comparator_list_=comparator_list_;
state.v_ei_=exprArray_;
Dataflow dataflow=getDataflow();
state.schema_=getSchema(dataflow.attribute_list_);
BlockStreamIteratorBase* filter=new ExpandableBlockStreamFilter(state);
physical_plan.plan=filter;
candidate_physical_plans.push_back(physical_plan);
}
else if((transfer==OneToOne)||(transfer==Shuffle)){
/* the input data flow should be transfered in the network to meet the requirement
* TODO: implement OneToOne Exchange
* */
ExpandableBlockStreamFilter::State state_f;
state_f.block_size_=block_size;
state_f.child_=physical_plan.plan;
state_f.v_ei_=exprArray_;
state_f.qual_=qual_;
state_f.colindex_=colindex_;
state_f.comparator_list_=comparator_list_;
Dataflow dataflow=getDataflow();
state_f.schema_=getSchema(dataflow.attribute_list_);
BlockStreamIteratorBase* filter=new ExpandableBlockStreamFilter(state_f);
physical_plan.plan=filter;
physical_plan.cost+=physical_plan.dataflow.getAggregatedDatasize();
ExpandableBlockStreamExchangeEpoll::State state;
state.block_size_=block_size;
state.child_=physical_plan.plan;//child_iterator;
state.exchange_id_=IDsGenerator::getInstance()->generateUniqueExchangeID();
state.schema_=getSchema(physical_plan.dataflow.attribute_list_);
std::vector<NodeID> upper_id_list;
if(requirement.hasRequiredLocations()){
upper_id_list=requirement.getRequiredLocations();
}
else{
if(requirement.hasRequiredPartitionFunction()){
/* partition function contains the number of partitions*/
PartitionFunction* partitoin_function=requirement.getPartitionFunction();
upper_id_list=std::vector<NodeID>(NodeTracker::getInstance()->getNodeIDList().begin(),NodeTracker::getInstance()->getNodeIDList().begin()+partitoin_function->getNumberOfPartitions()-1);
}
else{
//TODO: decide the degree of parallelism
upper_id_list=NodeTracker::getInstance()->getNodeIDList();
}
}
state.upper_ip_list_=convertNodeIDListToNodeIPList(upper_id_list);
assert(requirement.hasReuiredPartitionKey());
state.partition_schema_=partition_schema::set_hash_partition(this->getIndexInAttributeList(physical_plan.dataflow.attribute_list_,requirement.getPartitionKey()));
assert(state.partition_schema_.partition_key_index>=0);
std::vector<NodeID> lower_id_list=getInvolvedNodeID(physical_plan.dataflow.property_.partitioner);
state.lower_ip_list_=convertNodeIDListToNodeIPList(lower_id_list);
BlockStreamIteratorBase* exchange=new ExpandableBlockStreamExchangeEpoll(state);
physical_plan.plan=exchange;
}
candidate_physical_plans.push_back(physical_plan);
}
if(child_->GetOptimalPhysicalPlan(requirement,physical_plan)){
ExpandableBlockStreamFilter::State state;
state.block_size_=block_size;
state.child_=physical_plan.plan;
state.v_ei_=exprArray_;
state.qual_=qual_;
state.colindex_=colindex_;
state.comparator_list_=comparator_list_;
Dataflow dataflow=getDataflow();
state.schema_=getSchema(dataflow.attribute_list_);
BlockStreamIteratorBase* filter=new ExpandableBlockStreamFilter(state);
physical_plan.plan=filter;
candidate_physical_plans.push_back(physical_plan);
}
physical_plan_descriptor=getBestPhysicalPlanDescriptor(candidate_physical_plans);
if(requirement.passLimits(physical_plan_descriptor.cost))
return true;
else
return false;
}
bool LogicalScan::GetOptimalPhysicalPlan(Requirement requirement,PhysicalPlanDescriptor& physical_plan_descriptor, const unsigned & block_size){
Dataflow dataflow=getDataflow();
NetworkTransfer transfer=requirement.requireNetworkTransfer(dataflow);
ExpandableBlockStreamProjectionScan::State state;
state.block_size_=block_size;
state.projection_id_=target_projection_->getProjectionID();
state.schema_=getSchema(dataflow_->attribute_list_);
state.sample_rate_=sample_rate_;
PhysicalPlan scan=new ExpandableBlockStreamProjectionScan(state);
if(transfer==NONE){
physical_plan_descriptor.plan=scan;
physical_plan_descriptor.dataflow=dataflow;
physical_plan_descriptor.cost+=0;
}
else{
physical_plan_descriptor.cost+=dataflow.getAggregatedDatasize();
ExpandableBlockStreamExchangeEpoll::State state;
state.block_size_=block_size;
state.child_=scan;//child_iterator;
state.exchange_id_=IDsGenerator::getInstance()->generateUniqueExchangeID();
state.schema_=getSchema(dataflow.attribute_list_);
std::vector<NodeID> lower_id_list=getInvolvedNodeID(dataflow.property_.partitioner);
state.lower_id_list_=lower_id_list;
std::vector<NodeID> upper_id_list;
if(requirement.hasRequiredLocations()){
upper_id_list=requirement.getRequiredLocations();
}
else{
if(requirement.hasRequiredPartitionFunction()){
/* partition function contains the number of partitions*/
PartitionFunction* partitoin_function=requirement.getPartitionFunction();
upper_id_list=std::vector<NodeID>(NodeTracker::getInstance()->getNodeIDList().begin(),NodeTracker::getInstance()->getNodeIDList().begin()+partitoin_function->getNumberOfPartitions()-1);
}
else{
//TODO: decide the degree of parallelism
upper_id_list=NodeTracker::getInstance()->getNodeIDList();
}
}
state.upper_id_list_=upper_id_list;
state.partition_schema_=partition_schema::set_hash_partition(getIndexInAttributeList(dataflow.attribute_list_,requirement.getPartitionKey()));
assert(state.partition_schema_.partition_key_index>=0);
BlockStreamIteratorBase* exchange=new ExpandableBlockStreamExchangeEpoll(state);
Dataflow new_dataflow;
new_dataflow.attribute_list_=dataflow.attribute_list_;
new_dataflow.property_.partitioner.setPartitionKey(requirement.getPartitionKey());
new_dataflow.property_.partitioner.setPartitionFunction(PartitionFunctionFactory::createBoostHashFunction(state.upper_id_list_.size()));
const unsigned total_size=dataflow.getAggregatedDatasize();
const unsigned degree_of_parallelism=state.upper_id_list_.size();
std::vector<DataflowPartition> dataflow_partition_list;
for(unsigned i=0;i<degree_of_parallelism;i++){
const NodeID location=upper_id_list[i];
/* Currently, the join output size cannot be predicted due to the absence of data statistics.
* We just use the magic number as following */
const unsigned datasize=total_size/degree_of_parallelism;
DataflowPartition dfp(i,datasize,location);
dataflow_partition_list.push_back(dfp);
}
new_dataflow.property_.partitioner.setPartitionList(dataflow_partition_list);
physical_plan_descriptor.plan=exchange;
physical_plan_descriptor.dataflow=new_dataflow;
physical_plan_descriptor.cost+=new_dataflow.getAggregatedDatasize();
}
if(requirement.passLimits(physical_plan_descriptor.cost))
return true;
else
return false;
}
bool LogicalFilter::GetOptimalPhysicalPlan(
Requirement requirement, PhysicalPlanDescriptor& physical_plan_descriptor,
const unsigned& block_size) {
PhysicalPlanDescriptor physical_plan;
std::vector<PhysicalPlanDescriptor> candidate_physical_plans;
/* no requirement to the child*/
if (child_->GetOptimalPhysicalPlan(Requirement(), physical_plan)) {
NetworkTransfer transfer =
requirement.requireNetworkTransfer(physical_plan.plan_context_);
if (NONE == transfer) {
PhysicalFilter::State state;
state.block_size_ = block_size;
state.child_ = physical_plan.plan;
state.qual_ = condi_;
state.column_id_ = column_id_;
PlanContext plan_context = GetPlanContext();
state.schema_ = GetSchema(plan_context.attribute_list_);
PhysicalOperatorBase* filter = new PhysicalFilter(state);
physical_plan.plan = filter;
candidate_physical_plans.push_back(physical_plan);
} else if ((OneToOne == transfer) || (Shuffle == transfer)) {
/**
* The input plan context should be transfered in the network to meet the
* requirement.
* TODO(wangli): Implement OneToOne Exchange
* */
PhysicalFilter::State state_f;
state_f.block_size_ = block_size;
state_f.child_ = physical_plan.plan;
state_f.qual_ = condi_;
state_f.column_id_ = column_id_;
PlanContext plan_context = GetPlanContext();
state_f.schema_ = GetSchema(plan_context.attribute_list_);
PhysicalOperatorBase* filter = new PhysicalFilter(state_f);
physical_plan.plan = filter;
physical_plan.cost += physical_plan.plan_context_.GetAggregatedDatasize();
ExchangeMerger::State state;
state.block_size_ = block_size;
state.child_ = physical_plan.plan; // child_iterator;
state.exchange_id_ =
IDsGenerator::getInstance()->generateUniqueExchangeID();
state.schema_ = GetSchema(physical_plan.plan_context_.attribute_list_);
std::vector<NodeID> upper_id_list;
if (requirement.hasRequiredLocations()) {
upper_id_list = requirement.getRequiredLocations();
} else {
if (requirement.hasRequiredPartitionFunction()) {
// Partition function contains the number of partitions.
PartitionFunction* partitoin_function =
requirement.getPartitionFunction();
upper_id_list = std::vector<NodeID>(
NodeTracker::GetInstance()->GetNodeIDList().begin(),
NodeTracker::GetInstance()->GetNodeIDList().begin() +
partitoin_function->getNumberOfPartitions() - 1);
} else {
// TODO(wangli): decide the degree of parallelism
upper_id_list = NodeTracker::GetInstance()->GetNodeIDList();
}
}
state.upper_id_list_ = upper_id_list;
assert(requirement.hasReuiredPartitionKey());
state.partition_schema_ =
partition_schema::set_hash_partition(this->GetIdInAttributeList(
physical_plan.plan_context_.attribute_list_,
requirement.getPartitionKey()));
assert(state.partition_schema_.partition_key_index >= 0);
std::vector<NodeID> lower_id_list =
GetInvolvedNodeID(physical_plan.plan_context_.plan_partitioner_);
state.lower_id_list_ = lower_id_list;
PhysicalOperatorBase* exchange = new ExchangeMerger(state);
physical_plan.plan = exchange;
}
candidate_physical_plans.push_back(physical_plan);
}
if (child_->GetOptimalPhysicalPlan(requirement, physical_plan)) {
PhysicalFilter::State state;
state.block_size_ = block_size;
state.child_ = physical_plan.plan;
state.column_id_ = column_id_;
PlanContext plan_context = GetPlanContext();
state.schema_ = GetSchema(plan_context.attribute_list_);
PhysicalOperatorBase* filter = new PhysicalFilter(state);
physical_plan.plan = filter;
candidate_physical_plans.push_back(physical_plan);
}
physical_plan_descriptor =
GetBestPhysicalPlanDescriptor(candidate_physical_plans);
if (requirement.passLimits(physical_plan_descriptor.cost))
return true;
else
return false;
}