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Given that OLTP systems often have joins where a few rows from the first table are used to drive a join into the second table to pick up a few rows each, a value in the region of 75 is a reasonable starting guess (stress the word guess) for typical OLTP systems The dense packing of the content in a typical index makes it seem reasonable that an indexed access path might do a physical read on the first pass through the loop, but that physical read would have populated a buffer that subsequent passes could reuse The second picture also has the advantage that it allows us to visualize both the old and new mechanisms for the nested loop.

// pass_count counts the number of consecutive passes // (when players do not make a play). // This is used to find out if everyone passes one after the other, // in which case the game is over. int pass_count; // There are 15 spaces in the board. These constants are used in the static // constructor to create the board using symmetry. literal int BOARD_SIZE = 15; literal int BOARD_SIZEM1 = BOARD_SIZE - 1; literal int BOARD_MID = 7; literal int TILE_TYPES = 27; public: // The instance constructor creates the array of players // and the tile bag, which would have to be re-created for // each game. ScrabbleGame(unsigned int numPlayers) : nPlayer(numPlayers) { moveNum = 0; random = gcnew Random(); // Create the players. players = gcnew array<Player^>(numPlayers); for (unsigned int i = 0; i < numPlayers; i++) { Console::Write("Player {0} enter name: ", i); String^ s = Console::ReadLine(); players[i] = gcnew Player(s, i); } // Initialize the bag tiles. bag = gcnew List<Tile^>(TILE_COUNT); for (int i = 0; i < TILE_TYPES; i++) { for (int j = 0; j < tilePopulation[i]; j++) { Letter letter = safe_cast<Letter>(i); bag->Add(gcnew Tile(letter)); } } // The gameboard consists of an array of null pointers initially. gameBoard = gcnew array<Tile^, 2>(BOARD_SIZE, BOARD_SIZE); }

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The old mechanism finds the first row in the outer (driving) table, traverses the index, and visits each of the matching rows from the inner table in turn; then repeats for the second and third rows in the outer table This results in the rows from table 2 being fetched in the order (a, a, a, b, b, b, c, c, c), which may allow a subsequent order by clause to achieve a SORT (ORDER BY) NOSORT The new mechanism finds the first row in the outer table, traverses the index, and stops in the leaf block, picking up just the relevant rowids for the inner table; then repeats for the second and third rows in the outer table.

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When all the target rowids have been found, the engine can sort them and then visit the inner table in a single pass, working along the length of the table just once, picking the rows in whatever order they happen to appear in this case (a, b, b, a, a, c, b, c, a, c) This may take fewer logical I/Os the diagram suggests that the first two rows in the inner table may be in the same block, which means they could be acquired with one consistent get, rather than two The mechanism may even result in fewer physical I/Os that one block with the first two rows may have been flushed from the buffer between the two visits that would be needed using the traditional mechanism.