Fix bug on all shortest paths with an upper bound (#737)
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@ -1,4 +1,4 @@
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// Copyright 2022 Memgraph Ltd.
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// Copyright 2023 Memgraph Ltd.
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//
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// Use of this software is governed by the Business Source License
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// included in the file licenses/BSL.txt; by using this file, you agree to be bound by the terms of the Business Source
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@ -2020,7 +2020,7 @@ class ExpandAllShortestPathsCursor : public query::plan::Cursor {
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next_edges_.clear();
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traversal_stack_.clear();
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pq_.push({TypedValue(), 0, *start_vertex, std::nullopt});
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expand_from_vertex(*start_vertex, TypedValue(), 0);
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visited_cost_.emplace(*start_vertex, 0);
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frame[self_.common_.edge_symbol] = TypedValue::TVector(memory);
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}
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@ -2029,33 +2029,28 @@ class ExpandAllShortestPathsCursor : public query::plan::Cursor {
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while (!pq_.empty()) {
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if (MustAbort(context)) throw HintedAbortError();
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auto [current_weight, current_depth, current_vertex, maybe_directed_edge] = pq_.top();
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const auto [current_weight, current_depth, current_vertex, directed_edge] = pq_.top();
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pq_.pop();
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const auto &[current_edge, direction, weight] = directed_edge;
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if (expanded_.contains(current_edge)) continue;
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expanded_.emplace(current_edge);
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// Expand only if what we've just expanded is less than max depth.
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if (current_depth < upper_bound_) {
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if (maybe_directed_edge) {
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auto &[current_edge, direction, weight] = *maybe_directed_edge;
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if (expanded_.find(current_edge) != expanded_.end()) continue;
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expanded_.emplace(current_edge);
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}
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expand_from_vertex(current_vertex, current_weight, current_depth);
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}
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// if current vertex is not starting vertex, maybe_directed_edge will not be nullopt
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if (maybe_directed_edge) {
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auto &[current_edge, direction, weight] = *maybe_directed_edge;
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// Searching for a previous vertex in the expansion
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auto prev_vertex = direction == EdgeAtom::Direction::IN ? current_edge.To() : current_edge.From();
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// Searching for a previous vertex in the expansion
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auto prev_vertex = direction == EdgeAtom::Direction::IN ? current_edge.To() : current_edge.From();
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// Update the parent
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if (next_edges_.find({prev_vertex, current_depth - 1}) == next_edges_.end()) {
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utils::pmr::list<DirectedEdge> empty(memory);
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next_edges_[{prev_vertex, current_depth - 1}] = std::move(empty);
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}
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next_edges_.at({prev_vertex, current_depth - 1}).emplace_back(*maybe_directed_edge);
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// Update the parent
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if (next_edges_.find({prev_vertex, current_depth - 1}) == next_edges_.end()) {
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utils::pmr::list<DirectedEdge> empty(memory);
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next_edges_[{prev_vertex, current_depth - 1}] = std::move(empty);
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}
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next_edges_.at({prev_vertex, current_depth - 1}).emplace_back(directed_edge);
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}
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if (start_vertex && next_edges_.find({*start_vertex, 0}) != next_edges_.end()) {
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@ -2112,8 +2107,8 @@ class ExpandAllShortestPathsCursor : public query::plan::Cursor {
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// Priority queue comparator. Keep lowest weight on top of the queue.
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class PriorityQueueComparator {
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public:
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bool operator()(const std::tuple<TypedValue, int64_t, VertexAccessor, std::optional<DirectedEdge>> &lhs,
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const std::tuple<TypedValue, int64_t, VertexAccessor, std::optional<DirectedEdge>> &rhs) {
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bool operator()(const std::tuple<TypedValue, int64_t, VertexAccessor, DirectedEdge> &lhs,
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const std::tuple<TypedValue, int64_t, VertexAccessor, DirectedEdge> &rhs) {
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const auto &lhs_weight = std::get<0>(lhs);
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const auto &rhs_weight = std::get<0>(rhs);
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// Null defines minimum value for all types
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@ -2132,8 +2127,8 @@ class ExpandAllShortestPathsCursor : public query::plan::Cursor {
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// Priority queue - core element of the algorithm.
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// Stores: {weight, depth, next vertex, edge and direction}
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std::priority_queue<std::tuple<TypedValue, int64_t, VertexAccessor, std::optional<DirectedEdge>>,
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utils::pmr::vector<std::tuple<TypedValue, int64_t, VertexAccessor, std::optional<DirectedEdge>>>,
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std::priority_queue<std::tuple<TypedValue, int64_t, VertexAccessor, DirectedEdge>,
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utils::pmr::vector<std::tuple<TypedValue, int64_t, VertexAccessor, DirectedEdge>>,
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PriorityQueueComparator>
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pq_;
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@ -15,6 +15,26 @@ Feature: All Shortest Path
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| '1' |
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| '3' |
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Scenario: Test match allShortest upper bound 2
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Given an empty graph
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And having executed:
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"""
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CREATE (a {a:'0'})-[:r {w: 2}]->(b {a:'1'})-[:r {w: 3}]->(c {a:'2'}),
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(a)-[:re {w: 2}]->(b),
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(b)-[:re {w:3}]->(c),
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({a: '4'})<-[:r {w: 1}]-(a),
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({a: '5'})<-[:r {w: 1}]-(a),
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(c)-[:r {w: 1}]->({a: '6'}),
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(c)-[:r {w: 1}]->({a: '7'})
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"""
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When executing query:
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"""
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MATCH path=(n {a:'0'})-[r *allShortest ..2 (e, n | 1 ) w]->(m {a:'2'}) RETURN COUNT(path) AS c
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"""
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Then the result should be:
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| c |
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| 4 |
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Scenario: Test match allShortest filtered
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Given an empty graph
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And having executed:
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