Method read_array

test/src/unit-cppapi-query-condition-enumerations.cc:901–1068

}

std::vector<ResultEnmrQCCell> CPPQueryConditionEnumerationFx::read_array(
    EnmrQCCreator creator) {
  Array array(ctx_, uri_, TILEDB_READ);
  Query query(ctx_, array);

  if (type_ == TILEDB_DENSE) {
    Subarray subarray(ctx_, array);
    subarray.add_range<uint32_t>(0, 1, num_rows_);
    query.set_subarray(subarray);
  } else {
    query.set_layout(TILEDB_GLOBAL_ORDER);
  }

  std::vector<uint32_t> row_ids(num_rows_);
  std::vector<char> sample_names(num_rows_ * 2 * strlen("AAAA00000000"));
  std::vector<uint64_t> sample_name_offsets(num_rows_);
  std::vector<uint8_t> cell_types(num_rows_);
  std::vector<uint8_t> cycle_phases(num_rows_);
  std::vector<uint8_t> cycle_phases_validity(num_rows_);
  std::vector<uint8_t> wavelengths(num_rows_);
  std::vector<float> luminosities(num_rows_);

  auto qc = creator(ctx_);
  if (serialize_) {
    qc = serialize_deserialize_qc(qc);
  }

  query.set_condition(qc)
      .set_data_buffer("row_id", row_ids)
      .set_data_buffer("sample_name", sample_names)
      .set_offsets_buffer("sample_name", sample_name_offsets)
      .set_data_buffer("cell_type", cell_types)
      .set_data_buffer("cycle_phase", cycle_phases)
      .set_validity_buffer("cycle_phase", cycle_phases_validity)
      .set_data_buffer("wavelength", wavelengths)
      .set_data_buffer("luminosity", luminosities);

  REQUIRE(query.submit() == Query::Status::COMPLETE);

  auto table = query.result_buffer_elements();

  row_ids.resize(table["row_id"].second);
  sample_name_offsets.resize(table["sample_name"].first);
  cell_types.resize(table["cell_type"].second);
  cycle_phases.resize(table["cycle_phase"].second);
  cycle_phases_validity.resize(table["cycle_phase"].second);
  wavelengths.resize(table["wavelength"].second);
  luminosities.resize(table["luminosity"].second);

  // Create our result cell instances
  //
  // Remember here that the default constructed instances are in the
  // test-uninitialized state.
  //
  // The second thing to remember, is that this for loop is has two slightly
  // different behaviors between dense and sparse queries. For spares, we can
  // iterate over 0, 1, or up to num_rows_ matches. For dense, it always
  // iterates of num_rows_ entries because non-matches are returned as fill