79 lines
2.9 KiB
Markdown
79 lines
2.9 KiB
Markdown
# foundationdb-0001 — canLaunchSrc: std::count nested inside O(S×R) double loop
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**Project:** FoundationDB
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**File:** `fdbserver/datadistributor/DDRelocationQueue.actor.cpp`
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**Function:** `canLaunchSrc`
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**Severity:** MEDIUM
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**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
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## Defect
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`canLaunchSrc` checks whether a data relocation can be launched without overloading
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source servers. The outer loop iterates over `relocation.src` (team size, S = 3–5
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storage servers). The inner loop iterates over `cancellableRelocations` (the queue of
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in-flight cancellable moves, R entries). Inside the inner loop, `std::count` performs
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an O(S') linear scan of each cancellable relocation's `src` vector (also of size ~S'):
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```cpp
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for (int i = 0; i < relocation.src.size(); i++) { // O(S)
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auto busyCopy = busymap[relocation.src[i]];
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for (int j = 0; j < cancellableRelocations.size(); j++) { // O(R)
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auto& servers = cancellableRelocations[j].src;
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if (std::count(servers.begin(), servers.end(), relocation.src[i])) // O(S')
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busyCopy.removeWork(...);
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}
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...
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}
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```
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Total: **O(S × R × S')** where R grows with the number of concurrent relocations.
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In a large cluster undergoing rebalancing, R can reach hundreds or thousands,
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making this O(n²) in the relocation queue depth.
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## Fix
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Pre-build an `unordered_set<UID>` for each cancellable relocation's `src` servers
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before the outer loop (or use a flat `unordered_map<UID, work_to_cancel>` indexed
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by server). The inner loop then becomes an O(1) map lookup.
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```cpp
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// Build per-server cancellable work map once
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std::unordered_map<UID, std::vector<int>> cancellable_by_server;
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for (int j = 0; j < cancellableRelocations.size(); j++) {
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for (const auto& uid : cancellableRelocations[j].src) {
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cancellable_by_server[uid].push_back(j);
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}
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}
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for (int i = 0; i < relocation.src.size(); i++) {
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auto busyCopy = busymap[relocation.src[i]];
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// O(1) map lookup instead of O(R * S') double scan
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auto it = cancellable_by_server.find(relocation.src[i]);
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if (it != cancellable_by_server.end()) {
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for (int j : it->second) {
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busyCopy.removeWork(cancellableRelocations[j].priority,
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cancellableRelocations[j].workFactor);
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}
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}
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...
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}
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```
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Complexity: **O(S + R×S' + S)** = **O(R×S')** build + **O(S)** lookup, dominated by
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the one-time build. This removes the multiplicative factor between S and the inner
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O(R×S') scan.
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## Impact
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During cluster rebalancing or after storage server failures, `canLaunchSrc` is called
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for every candidate relocation in the queue (line 1090, inside a hot loop). As the
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queue grows, each call degrades from O(R) to O(S×R×S') causing compounding slowdown
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in data distribution scheduling decisions.
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## Location
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```
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fdbserver/datadistributor/DDRelocationQueue.actor.cpp
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canLaunchSrc() lines 436–477
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call site line 1090
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```
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