Function read_array2

examples/cpp_api/array_schema_evolution.cc:138–175

}

void read_array2(const Context& ctx) {
  // Prepare the array for reading
  Array array(ctx, array_uri, TILEDB_READ);

  // Prepare the vector that will hold the result.
  // We take an upper bound on the result size, as we do not
  // know a priori how big it is (since the array is sparse)
  std::vector<int> a_data(4);
  std::vector<uint32_t> b_data(4);
  std::vector<int> coords_rows(4);
  std::vector<int> coords_cols(4);

  // Prepare the query
  Subarray subarray(ctx, array);
  subarray.add_range(0, 1, 4).add_range(1, 1, 4);
  Query query(ctx, array, TILEDB_READ);
  query.set_subarray(subarray)
      .set_layout(TILEDB_ROW_MAJOR)
      .set_data_buffer("a", a_data)
      .set_data_buffer("b", b_data)
      .set_data_buffer("rows", coords_rows)
      .set_data_buffer("cols", coords_cols);

  // Submit the query and close the array.
  query.submit();
  array.close();

  // Print out the results.
  auto result_num = (int)query.result_buffer_elements()["a"].second;
  for (int r = 0; r < result_num; r++) {
    int i = coords_rows[r];
    int j = coords_cols[r];
    int a = a_data[r];
    int b = b_data[r];
    std::cout << "Cell (" << i << ", " << j << ") has data " << a << ", " << b
              << "\n";
  }
}

void array_schema_evolve(const Context& ctx) {
  ArraySchemaEvolution schemaEvolution = ArraySchemaEvolution(ctx);