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LibJS: Speed up IndexedPropertyIterator by computing non-empty indices
This provides a huge speed-up for objects with large numbers as property keys in some situation. Previously we would simply iterate from 0-<max> and check if there's a non-empty value at each index - now we're being smarter and compute a list of non-empty indices upfront, by checking each value in the packed elements vector and appending the sparse elements hashmap keys (for GenericIndexedPropertyStorage). Consider this example, an object with a single own property, which is a number increasing by a factor of 10 each iteration: for (let i = 0; i < 10; ++i) { const o = {[10 ** i]: "foo"}; const start = Date.now(); Object.getOwnPropertyNames(o); // <-- IndexedPropertyIterator const end = Date.now(); console.log(`${10 ** i} -> ${(end - start) / 1000}s`); } Before this change: 1 -> 0.0000s 10 -> 0.0000s 100 -> 0.0000s 1000 -> 0.0000s 10000 -> 0.0005s 100000 -> 0.0039s 1000000 -> 0.0295s 10000000 -> 0.2489s 100000000 -> 2.4758s 1000000000 -> 25.5669s After this change: 1 -> 0.0000s 10 -> 0.0000s 100 -> 0.0000s 1000 -> 0.0000s 10000 -> 0.0000s 100000 -> 0.0000s 1000000 -> 0.0000s 10000000 -> 0.0000s 100000000 -> 0.0000s 1000000000 -> 0.0000s Fixes #3805.
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2 changed files with 50 additions and 10 deletions
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@ -24,6 +24,7 @@
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <AK/QuickSort.h>
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#include <LibJS/Runtime/Accessor.h>
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#include <LibJS/Runtime/IndexedProperties.h>
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@ -229,22 +230,16 @@ IndexedPropertyIterator::IndexedPropertyIterator(const IndexedProperties& indexe
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, m_index(staring_index)
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, m_skip_empty(skip_empty)
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{
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while (m_skip_empty && m_index < m_indexed_properties.array_like_size()) {
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if (m_indexed_properties.has_index(m_index))
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break;
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m_index++;
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}
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if (m_skip_empty)
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skip_empty_indices();
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}
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IndexedPropertyIterator& IndexedPropertyIterator::operator++()
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{
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m_index++;
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while (m_skip_empty && m_index < m_indexed_properties.array_like_size()) {
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if (m_indexed_properties.has_index(m_index))
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break;
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m_index++;
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};
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if (m_skip_empty)
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skip_empty_indices();
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return *this;
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}
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@ -266,6 +261,21 @@ ValueAndAttributes IndexedPropertyIterator::value_and_attributes(Object* this_ob
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return {};
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}
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void IndexedPropertyIterator::skip_empty_indices()
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{
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auto indices = m_indexed_properties.indices();
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if (indices.is_empty()) {
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m_index = m_indexed_properties.array_like_size();
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return;
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}
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for (auto i : indices) {
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if (i < m_index)
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continue;
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m_index = i;
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break;
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}
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}
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Optional<ValueAndAttributes> IndexedProperties::get(Object* this_object, u32 index, bool evaluate_accessors) const
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{
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auto result = m_storage->get(index);
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@ -354,6 +364,32 @@ void IndexedProperties::set_array_like_size(size_t new_size)
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m_storage->set_array_like_size(new_size);
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}
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Vector<u32> IndexedProperties::indices() const
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{
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Vector<u32> indices;
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if (m_storage->is_simple_storage()) {
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const auto& storage = static_cast<const SimpleIndexedPropertyStorage&>(*m_storage);
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const auto& elements = storage.elements();
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indices.ensure_capacity(storage.array_like_size());
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for (size_t i = 0; i < elements.size(); ++i) {
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if (!elements.at(i).is_empty())
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indices.unchecked_append(i);
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}
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} else {
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const auto& storage = static_cast<const GenericIndexedPropertyStorage&>(*m_storage);
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const auto packed_elements = storage.packed_elements();
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indices.ensure_capacity(storage.array_like_size());
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for (size_t i = 0; i < packed_elements.size(); ++i) {
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if (!packed_elements.at(i).value.is_empty())
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indices.unchecked_append(i);
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}
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auto sparse_elements_keys = storage.sparse_elements().keys();
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quick_sort(sparse_elements_keys);
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indices.append(move(sparse_elements_keys));
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}
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return indices;
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}
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Vector<ValueAndAttributes> IndexedProperties::values_unordered() const
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{
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if (m_storage->is_simple_storage()) {
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