inline void execute(query_context& context) {
if (!m_reader) m_reader = m_source->get_reader();
auto start = m_begin_index;
auto block_size = context.block_size();
bool skip_next_block = false;
emit_state state = context.initial_state();
while (start != m_end_index) {
auto rows = context.get_output_buffer();
auto end = std::min(start + block_size, m_end_index);
if (skip_next_block == false) {
m_reader->read_rows(start, end, *rows);
state = context.emit(rows);
} else {
state = context.emit(nullptr);
}
skip_next_block = state == emit_state::SKIP_NEXT_BLOCK;
start = end;
}
}
inline void execute(query_context& context) {
std::vector<std::shared_ptr<const sframe_rows> > input_v(num_inputs);
std::vector<
std::vector<
std::shared_ptr<
std::vector<graphlab::flexible_type> > > > input_columns(num_inputs);
while(1) {
bool all_null = true, any_null = false;
for(size_t i = 0; i < num_inputs; ++i) {
input_v[i] = context.get_next(i);
if(input_v[i] == nullptr)
any_null = true;
else
all_null = false;
}
if(any_null) {
ASSERT_TRUE(all_null);
break;
}
for(size_t i = 0; i < num_inputs; ++i) {
input_columns[i] = std::move(input_v[i]->get_columns());
}
auto out = context.get_output_buffer();
auto& out_columns = out->get_columns();
out_columns.clear();
for(const std::pair<size_t, size_t>& p : index_map) {
out_columns.push_back(input_columns[p.first][p.second]);
}
context.emit(out);
}
}
