// 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 "exprs/scalar-expr-evaluator.h"
#include "runtime/krpc-data-stream-sender.h"
#include "runtime/raw-value.h"
#include "runtime/row-batch.h"

namespace impala {

ScalarExprEvaluator* KrpcDataStreamSender::GetPartitionExprEvaluator(int i) {
  return partition_expr_evals_[i];
}

Status KrpcDataStreamSender::HashAndAddRows(RowBatch* batch) {
  const int num_rows = batch->num_rows();
  const int num_channels = GetNumChannels();
  int channel_ids[RowBatch::HASH_BATCH_SIZE];
  int row_idx = 0;
  while (row_idx < num_rows) {
    int row_count = 0;
    FOREACH_ROW_LIMIT(batch, row_idx, RowBatch::HASH_BATCH_SIZE, row_batch_iter) {
      TupleRow* row = row_batch_iter.Get();
      channel_ids[row_count++] = HashRow(row) % num_channels;
    }
    row_count = 0;
    FOREACH_ROW_LIMIT(batch, row_idx, RowBatch::HASH_BATCH_SIZE, row_batch_iter) {
      RETURN_IF_ERROR(AddRowToChannel(channel_ids[row_count++], row_batch_iter.Get()));
    }
    row_idx += row_count;
  }
  return Status::OK();
}

}