- int targetIndex = 0;
- int sourceIndex = 0;
- int insertedAtIndex = -1; // Index for the current item-range
- int insertedCount = 0; // Count for the current item-range
- int previouslyInsertedCount = 0; // Sum of previously inserted items for all ranges
- while (sourceIndex < sortedItems.count()) {
- // Find target index from m_items to insert the current item
- // in a sorted order
- const int previousTargetIndex = targetIndex;
- while (targetIndex < m_itemData.count()) {
- if (!lessThan(m_itemData.at(targetIndex), sortedItems.at(sourceIndex))) {
- break;
+ const int existingItemCount = m_itemData.count();
+ const int newItemCount = newItems.count();
+ const int totalItemCount = existingItemCount + newItemCount;
+
+ if (existingItemCount == 0) {
+ // Optimization for the common special case that there are no
+ // items in the model yet. Happens, e.g., when entering a folder.
+ m_itemData = newItems;
+ itemRanges << KItemRange(0, newItemCount);
+ } else {
+ m_itemData.reserve(totalItemCount);
+ for (int i = existingItemCount; i < totalItemCount; ++i) {
+ m_itemData.append(0);
+ }
+
+ // We build the new list m_items in reverse order to minimize
+ // the number of moves and guarantee O(N) complexity.
+ int targetIndex = totalItemCount - 1;
+ int sourceIndexExistingItems = existingItemCount - 1;
+ int sourceIndexNewItems = newItemCount - 1;
+
+ int rangeCount = 0;
+
+ while (sourceIndexNewItems >= 0) {
+ ItemData* newItem = newItems.at(sourceIndexNewItems);
+ if (sourceIndexExistingItems >= 0 && lessThan(newItem, m_itemData.at(sourceIndexExistingItems))) {
+ // Move an existing item to its new position. If any new items
+ // are behind it, push the item range to itemRanges.
+ if (rangeCount > 0) {
+ itemRanges << KItemRange(sourceIndexExistingItems + 1, rangeCount);
+ rangeCount = 0;
+ }
+
+ m_itemData[targetIndex] = m_itemData.at(sourceIndexExistingItems);
+ --sourceIndexExistingItems;
+ } else {
+ // Insert a new item into the list.
+ ++rangeCount;
+ m_itemData[targetIndex] = newItem;
+ --sourceIndexNewItems;