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// 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.
#include "kudu/tablet/delta_applier.h"
#include <string>
#include <vector>
#include "kudu/common/iterator.h"
#include "kudu/tablet/delta_store.h"
#include "kudu/util/status.h"
using std::shared_ptr;
using std::string;
namespace kudu {
namespace tablet {
// Construct. The base_iter and delta_iter should not be Initted.
DeltaApplier::DeltaApplier(shared_ptr<CFileSet::Iterator> base_iter,
shared_ptr<DeltaIterator> delta_iter)
: base_iter_(std::move(base_iter)),
delta_iter_(std::move(delta_iter)),
first_prepare_(true) {}
DeltaApplier::~DeltaApplier() {
}
Status DeltaApplier::Init(ScanSpec *spec) {
RETURN_NOT_OK(base_iter_->Init(spec));
RETURN_NOT_OK(delta_iter_->Init(spec));
return Status::OK();
}
string DeltaApplier::ToString() const {
string s;
s.append("DeltaApplier(");
s.append(base_iter_->ToString());
s.append(" + ");
s.append(delta_iter_->ToString());
s.append(")");
return s;
}
const Schema &DeltaApplier::schema() const {
return base_iter_->schema();
}
void DeltaApplier::GetIteratorStats(std::vector<IteratorStats>* stats) const {
return base_iter_->GetIteratorStats(stats);
}
bool DeltaApplier::HasNext() const {
return base_iter_->HasNext();
}
Status DeltaApplier::PrepareBatch(size_t *nrows) {
// The initial seek is deferred from Init() into the first PrepareBatch()
// because it requires a loaded delta file, and we don't want to require
// that at Init() time.
if (first_prepare_) {
RETURN_NOT_OK(delta_iter_->SeekToOrdinal(base_iter_->cur_ordinal_idx()));
first_prepare_ = false;
}
RETURN_NOT_OK(base_iter_->PrepareBatch(nrows));
RETURN_NOT_OK(delta_iter_->PrepareBatch(*nrows, DeltaIterator::PREPARE_FOR_APPLY));
return Status::OK();
}
Status DeltaApplier::FinishBatch() {
return base_iter_->FinishBatch();
}
Status DeltaApplier::InitializeSelectionVector(SelectionVector *sel_vec) {
DCHECK(!first_prepare_) << "PrepareBatch() must be called at least once";
RETURN_NOT_OK(base_iter_->InitializeSelectionVector(sel_vec));
return delta_iter_->ApplyDeletes(sel_vec);
}
Status DeltaApplier::MaterializeColumn(size_t col_idx, ColumnBlock *dst) {
DCHECK(!first_prepare_) << "PrepareBatch() must be called at least once";
// Copy the base data.
RETURN_NOT_OK(base_iter_->MaterializeColumn(col_idx, dst));
// Apply all the updates for this column.
RETURN_NOT_OK(delta_iter_->ApplyUpdates(col_idx, dst));
return Status::OK();
}
} // namespace tablet
} // namespace kudu