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-rw-r--r--third_party/nix/src/libutil/thread-pool.hh143
1 files changed, 143 insertions, 0 deletions
diff --git a/third_party/nix/src/libutil/thread-pool.hh b/third_party/nix/src/libutil/thread-pool.hh
new file mode 100644
index 0000000000..bb16b639a5
--- /dev/null
+++ b/third_party/nix/src/libutil/thread-pool.hh
@@ -0,0 +1,143 @@
+#pragma once
+
+#include "sync.hh"
+#include "util.hh"
+
+#include <queue>
+#include <functional>
+#include <thread>
+#include <map>
+#include <atomic>
+
+namespace nix {
+
+MakeError(ThreadPoolShutDown, Error)
+
+/* A simple thread pool that executes a queue of work items
+   (lambdas). */
+class ThreadPool
+{
+public:
+
+    ThreadPool(size_t maxThreads = 0);
+
+    ~ThreadPool();
+
+    // FIXME: use std::packaged_task?
+    typedef std::function<void()> work_t;
+
+    /* Enqueue a function to be executed by the thread pool. */
+    void enqueue(const work_t & t);
+
+    /* Execute work items until the queue is empty. Note that work
+       items are allowed to add new items to the queue; this is
+       handled correctly. Queue processing stops prematurely if any
+       work item throws an exception. This exception is propagated to
+       the calling thread. If multiple work items throw an exception
+       concurrently, only one item is propagated; the others are
+       printed on stderr and otherwise ignored. */
+    void process();
+
+private:
+
+    size_t maxThreads;
+
+    struct State
+    {
+        std::queue<work_t> pending;
+        size_t active = 0;
+        std::exception_ptr exception;
+        std::vector<std::thread> workers;
+        bool draining = false;
+    };
+
+    std::atomic_bool quit{false};
+
+    Sync<State> state_;
+
+    std::condition_variable work;
+
+    void doWork(bool mainThread);
+
+    void shutdown();
+};
+
+/* Process in parallel a set of items of type T that have a partial
+   ordering between them. Thus, any item is only processed after all
+   its dependencies have been processed. */
+template<typename T>
+void processGraph(
+    ThreadPool & pool,
+    const std::set<T> & nodes,
+    std::function<std::set<T>(const T &)> getEdges,
+    std::function<void(const T &)> processNode)
+{
+    struct Graph {
+        std::set<T> left;
+        std::map<T, std::set<T>> refs, rrefs;
+    };
+
+    Sync<Graph> graph_(Graph{nodes, {}, {}});
+
+    std::function<void(const T &)> worker;
+
+    worker = [&](const T & node) {
+
+        {
+            auto graph(graph_.lock());
+            auto i = graph->refs.find(node);
+            if (i == graph->refs.end())
+                goto getRefs;
+            goto doWork;
+        }
+
+    getRefs:
+        {
+            auto refs = getEdges(node);
+            refs.erase(node);
+
+            {
+                auto graph(graph_.lock());
+                for (auto & ref : refs)
+                    if (graph->left.count(ref)) {
+                        graph->refs[node].insert(ref);
+                        graph->rrefs[ref].insert(node);
+                    }
+                if (graph->refs[node].empty())
+                    goto doWork;
+            }
+        }
+
+        return;
+
+    doWork:
+        processNode(node);
+
+        /* Enqueue work for all nodes that were waiting on this one
+           and have no unprocessed dependencies. */
+        {
+            auto graph(graph_.lock());
+            for (auto & rref : graph->rrefs[node]) {
+                auto & refs(graph->refs[rref]);
+                auto i = refs.find(node);
+                assert(i != refs.end());
+                refs.erase(i);
+                if (refs.empty())
+                    pool.enqueue(std::bind(worker, rref));
+            }
+            graph->left.erase(node);
+            graph->refs.erase(node);
+            graph->rrefs.erase(node);
+        }
+    };
+
+    for (auto & node : nodes)
+        pool.enqueue(std::bind(worker, std::ref(node)));
+
+    pool.process();
+
+    if (!graph_.lock()->left.empty())
+        throw Error("graph processing incomplete (cyclic reference?)");
+}
+
+}