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clusterlin: simplify PickMergeCandidate (optimization)
The current process consists of iterating over the transactions of the chunk one by one, and then for each figuring out which of its parents/children are in unprocessed chunks. Simplify this (and speed it up slightly) by splitting this process into two phases: first determine the union of all parents/children, and then find which chunks those belong to.
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@ -742,6 +742,22 @@ private:
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}
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/** Find the set of out-of-chunk transactions reachable from tx_idxs. */
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template<bool DownWard>
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SetType GetReachable(const SetType& tx_idxs) const noexcept
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{
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SetType ret;
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for (auto tx_idx : tx_idxs) {
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const auto& tx_data = m_tx_data[tx_idx];
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if constexpr (DownWard) {
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ret |= tx_data.children;
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} else {
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ret |= tx_data.parents;
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}
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}
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return ret - tx_idxs;
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}
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/** Make the inactive dependency from child to parent, which must not be in the same chunk
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* already, active. Returns the merged chunk idx. */
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SetIdx Activate(TxIdx parent_idx, TxIdx child_idx) noexcept
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@ -883,16 +899,11 @@ private:
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/** Information about the chunk. */
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Assume(m_chunk_idxs[chunk_idx]);
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auto& chunk_info = m_set_info[chunk_idx];
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SetType chunk_txn = chunk_info.transactions;
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// Iterate over all transactions in the chunk, figuring out which other chunk each
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// depends on, but only testing each other chunk once. For those depended-on chunks,
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// Iterate over all chunks reachable from this one. For those depended-on chunks,
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// remember the highest-feerate (if DownWard) or lowest-feerate (if !DownWard) one.
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// If multiple equal-feerate candidate chunks to merge with exist, pick a random one
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// among them.
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/** Which transactions have been reached from this chunk already. Initialize with the
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* chunk itself, so internal dependencies within the chunk are ignored. */
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SetType explored = chunk_txn;
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/** The minimum feerate (if downward) or maximum feerate (if upward) to consider when
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* looking for candidate chunks to merge with. Initially, this is the original chunk's
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* feerate, but is updated to be the current best candidate whenever one is found. */
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@ -902,29 +913,29 @@ private:
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/** We generate random tiebreak values to pick between equal-feerate candidate chunks.
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* This variable stores the tiebreak of the current best candidate. */
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uint64_t best_other_chunk_tiebreak{0};
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for (auto tx_idx : chunk_txn) {
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auto& tx_data = m_tx_data[tx_idx];
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/** The transactions reached by following dependencies from tx that have not been
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* explored before. */
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auto newly_reached = (DownWard ? tx_data.children : tx_data.parents) - explored;
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explored |= newly_reached;
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while (newly_reached.Any()) {
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// Find a chunk inside newly_reached, and remove it from newly_reached.
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auto reached_chunk_idx = m_tx_data[newly_reached.First()].chunk_idx;
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auto& reached_chunk_info = m_set_info[reached_chunk_idx];
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newly_reached -= reached_chunk_info.transactions;
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// See if it has an acceptable feerate.
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auto cmp = DownWard ? FeeRateCompare(best_other_chunk_feerate, reached_chunk_info.feerate)
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: FeeRateCompare(reached_chunk_info.feerate, best_other_chunk_feerate);
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if (cmp > 0) continue;
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uint64_t tiebreak = m_rng.rand64();
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if (cmp < 0 || tiebreak >= best_other_chunk_tiebreak) {
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best_other_chunk_feerate = reached_chunk_info.feerate;
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best_other_chunk_idx = reached_chunk_idx;
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best_other_chunk_tiebreak = tiebreak;
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}
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/** Which parent/child transactions we still need to process the chunks for. */
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auto todo = GetReachable<DownWard>(chunk_info.transactions);
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unsigned steps = 0;
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while (todo.Any()) {
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++steps;
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// Find a chunk for a transaction in todo, and remove all its transactions from todo.
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auto reached_chunk_idx = m_tx_data[todo.First()].chunk_idx;
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auto& reached_chunk_info = m_set_info[reached_chunk_idx];
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todo -= reached_chunk_info.transactions;
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// See if it has an acceptable feerate.
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auto cmp = DownWard ? FeeRateCompare(best_other_chunk_feerate, reached_chunk_info.feerate)
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: FeeRateCompare(reached_chunk_info.feerate, best_other_chunk_feerate);
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if (cmp > 0) continue;
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uint64_t tiebreak = m_rng.rand64();
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if (cmp < 0 || tiebreak >= best_other_chunk_tiebreak) {
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best_other_chunk_feerate = reached_chunk_info.feerate;
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best_other_chunk_idx = reached_chunk_idx;
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best_other_chunk_tiebreak = tiebreak;
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}
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}
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Assume(steps <= m_set_info.size());
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return best_other_chunk_idx;
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}
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@ -403,13 +403,13 @@ inline uint64_t MaxOptimalLinearizationIters(DepGraphIndex cluster_count)
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static constexpr uint64_t ITERS[65] = {
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0,
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0, 4, 10, 34, 76, 156, 229, 380,
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432, 607, 738, 896, 1037, 1366, 1464, 1711,
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2060, 2542, 3068, 3116, 4029, 3467, 5324, 5402,
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6481, 7161, 7441, 8329, 8843, 9353, 11104, 11269,
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11791, 11981, 12413, 14259, 15331, 12397, 13581, 18569,
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18737, 16581, 23217, 23271, 27350, 28591, 33636, 34486,
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34414, 26227, 35570, 38045, 40814, 29622, 37793, 32122,
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35915, 49823, 39722, 43765, 42365, 53620, 59417, 67035
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432, 517, 678, 896, 1037, 1366, 1479, 1711,
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2060, 2542, 3068, 3116, 4029, 3467, 5324, 5512,
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6481, 7161, 7441, 8183, 8843, 9353, 11104, 11269,
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12354, 11871, 13367, 14259, 14229, 12397, 13581, 17774,
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18737, 16581, 23217, 24044, 29597, 28879, 34069, 34162,
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36028, 26227, 34471, 37212, 40814, 29554, 40305, 34019,
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36582, 55659, 39994, 41277, 42365, 52822, 60151, 67035
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};
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assert(cluster_count < std::size(ITERS));
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// Multiply the table number by two, to account for the fact that they are not absolutes.
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