Senior 5 min · March 06, 2026

C++ Custom Allocators — is_always_equal Corruption Trap

Stateful pool allocators default to is_always_equal=true, causing cross-pool corruption on moves.

N
Naren · Founder
Plain-English first. Then code. Then the interview question.
About
 ● Production Incident 🔎 Debug Guide
Quick Answer
  • Custom allocators replace general-purpose malloc for specific patterns to trade generality for speed and determinism
  • Core types: Pool (fixed-size blocks), Arena (bump-pointer), PMR (runtime polymorphic resource)
  • Allocation drops from ~150ns (malloc) to ~3ns (arena) in ideal cases
  • Production trap: stateful allocators without is_always_equal = false cause silent heap corruption on container move
  • Biggest mistake: using custom allocators without profiling — they only win when the access pattern matches
Plain-English First

Imagine a restaurant kitchen. The default memory allocator is like ordering every ingredient individually from a warehouse across town — it works, but it's slow and the truck has to make a hundred trips. A custom allocator is like stocking a prep station right next to the chef with exactly the ingredients needed for tonight's menu — fewer trips, zero hunting, food arrives in seconds. Custom allocators let you take control of WHERE and HOW your program grabs memory, so you stop paying the general-purpose tax for workloads that don't need it.

Every C++ program lives and dies by memory. For most toy programs, new and delete are fine — they hand off to the OS, get some heap memory, and everyone goes home happy. But in game engines, high-frequency trading systems, real-time audio processors, and embedded firmware, the general-purpose allocator (malloc under the hood) is a liability: it locks mutexes, hunts through fragmented free-lists, and takes wildly non-deterministic time. At Jane Street, a single extra allocation on a hot path can cost an arbitrage opportunity. At a game studio, a mid-frame new can cause a hitch the player feels in their bones.

Custom allocators exist to let you trade generality for performance and predictability. Instead of asking 'give me some memory from wherever', you say 'give me memory from THIS pre-allocated slab, using THIS strategy, with THESE lifetime guarantees'. You collapse the allocation cost, eliminate fragmentation on hot paths, and in the best cases reduce a 200ns malloc call to a handful of pointer arithmetic instructions taking under 5ns.

By the end of this article you'll understand the C++ Allocator named requirement from the inside out, build a working pool allocator and an arena allocator from scratch, understand C++17's polymorphic memory resources (PMR), wire a custom allocator into standard containers like std::vector and std::list, and know exactly when to reach for each tool in production code.

The C++ Allocator Named Requirement — What the Standard Actually Demands

Every standard container is a template parameterised on an allocator type. std::vector<int> is really std::vector<int, std::allocator<int>>. The second parameter must satisfy the Allocator named requirement — a contract the standard defines in terms of valid expressions, not a formal C++ concept (though C++20 adds std::allocator_traits refinements).

The minimum interface your allocator must expose is allocate(n), which returns a pointer to storage for n objects of value_type, and deallocate(p, n), which releases it. That's the irreducible core. std::allocator_traits fills in sensible defaults for everything else — construct, destroy, max_size, select_on_container_copy_construction — so your custom allocator only needs to override what matters.

The critical subtlety that trips everyone up: two allocator instances must compare equal if and only if memory allocated by one can be deallocated by the other. This equality rule drives the entire rebind mechanism and container move semantics. Get it wrong and you'll see silent undefined behaviour when a container tries to free memory through the wrong allocator instance.

C++17 introduced propagate_on_container_move_assignment, propagate_on_container_copy_assignment, and propagate_on_container_swap traits. These tell containers whether to carry the allocator along during those operations. For stateful allocators — ones that hold a pointer to a memory resource — you almost always want move propagation enabled.

allocator_skeleton.cppCPP
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#include <memory>       // std::allocator_traits
#include <cstddef>      // std::size_t, std::ptrdiff_t
#include <new>          // ::operator new, ::operator delete
#include <iostream>
#include <vector>

// ---------------------------------------------------------------------------
// MinimalAllocator<T>
// The smallest possible custom allocator that satisfies the named requirement.
// It delegates to global operator new/delete — functionally identical to
// std::allocator, but useful as a skeleton to build upon.
// ---------------------------------------------------------------------------
template <typename T>
struct MinimalAllocator {
    // value_type is the ONLY mandatory typedef.
    using value_type = T;

    // Default constructor — must be constexpr-friendly in C++20.
    MinimalAllocator() noexcept = default;

    // Rebind copy constructor: lets the container create an
    // allocator for a *different* type (e.g. a node type internally).
    template <typename U>
    MinimalAllocator(const MinimalAllocator<U>&) noexcept {}

    // allocate: must return pointer to at least n * sizeof(T) bytes,
    // aligned for T. Throw std::bad_alloc on failure — never return null.
    T* allocate(std::size_t element_count) {
        std::cout << "[MinimalAllocator] allocating " << element_count
                  << " element(s) — " << element_count * sizeof(T)
                  << " bytes\n";
        // ::operator new(bytes, std::align_val_t) available in C++17
        // for over-aligned types; for basics, this suffices.
        return static_cast<T*>(::operator new(element_count * sizeof(T)));
    }

    // deallocate: n MUST match the count passed to allocate.
    // Passing a wrong n is undefined behaviour — no runtime check exists.
    void deallocate(T* raw_ptr, std::size_t element_count) noexcept {
        std::cout << "[MinimalAllocator] deallocating " << element_count
                  << " element(s)\n";
        ::operator delete(raw_ptr);
    }

    // Allocators compare equal if memory from one can be freed by the other.
    // Because MinimalAllocator has no state, all instances are equivalent.
    bool operator==(const MinimalAllocator&) const noexcept { return true; }
    bool operator!=(const MinimalAllocator&) const noexcept { return false; }
};

int main() {
    // std::vector uses the allocator for its internal buffer.
    // Push_back may trigger reallocation — watch the log.
    std::vector<int, MinimalAllocator<int>> numbers;
    numbers.reserve(4);   // one allocation for exactly 4 ints

    for (int i = 1; i <= 4; ++i) {
        numbers.push_back(i * 10);
    }

    std::cout << "Values:";
    for (int v : numbers) std::cout << ' ' << v;
    std::cout << '\n';
    // Vector destructor triggers deallocate automatically.
    return 0;
}
Output
[MinimalAllocator] allocating 4 element(s) — 16 bytes
Values: 10 20 30 40
[MinimalAllocator] deallocating 4 element(s)
Watch Out: The Rebind Trap
std::list and std::map allocate NODES internally, not raw T objects. They use std::allocator_traits<A>::rebind_alloc<Node> to reinterpret your allocator for a different type. If your allocator stores typed state (e.g. a pool sized for T), the rebound allocator for Node will silently hand out wrong-sized blocks. Always keep pool sizing separate from the allocator type, or use PMR (covered later) to sidestep rebind entirely.
Production Insight
Missing is_always_equal causes undefined behaviour on container moves, but only with stateful allocators.
ASan catches cross-allocator deletes in milliseconds — always turn it on in debug CI.
Rule: if your allocator holds any state, is_always_equal must be false.
Key Takeaway
The Allocator named requirement is just allocate/deallocate + equality.
std::allocator_traits provides defaults for everything else.
Stateful allocators must explicitly declare is_always_equal = false.

Building a Pool Allocator — Fixed-Size Blocks, Zero Fragmentation

A pool allocator pre-allocates a large chunk of memory and carves it into fixed-size blocks. Each free block holds a pointer to the next free block in its first bytes — a singly-linked free-list embedded directly in the unused memory. Allocation is a pointer pop; deallocation is a pointer push. Both are O(1) and branch-free on the hot path.

Pool allocators shine when you're creating and destroying many objects of the SAME type rapidly — think particle systems, event queues, network packet buffers, or node-based containers. Because every block is the same size, fragmentation is mathematically impossible within the pool. The only wasted memory is alignment padding and the pool chunk that's pre-reserved upfront.

The constraint is equally obvious: you cannot allocate variable-size objects from a fixed-block pool. Asking for a block larger than the pool's block size is a bug, not a feature. In production you guard this with a static_assert on object size at instantiation time.

Thread safety is also absent by default — the free-list manipulation is not atomic. For multi-threaded pools you'd either give each thread its own pool (recommended), use a lock-free stack with std::atomic compare-exchange, or guard with a std::mutex (simpler but adds latency).

pool_allocator.cppCPP
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#include <cassert>
#include <cstddef>
#include <cstdint>
#include <iostream>
#include <new>
#include <vector>

// ---------------------------------------------------------------------------
// PoolAllocator<T, BlockCount>
// Manages a fixed pool of BlockCount objects of type T.
// Allocation and deallocation are O(1) with no fragmentation.
// NOT thread-safe — use per-thread instances in concurrent scenarios.
// ---------------------------------------------------------------------------
template <typename T, std::size_t BlockCount>
class PoolResource {
    // Each free slot reuses its own memory to store a 'next' pointer.
    // This union lets us treat raw bytes as either a pointer or storage for T.
    union Slot {
        Slot*              next_free;   // when this slot is unused
        alignas(T) char    storage[sizeof(T)]; // when this slot is in use
    };

    Slot              pool_[BlockCount];  // the entire pool lives here (stack or member)
    Slot*             free_head_;        // points to the first available slot
    std::size_t       allocated_count_;  // for diagnostics

public:
    PoolResource() : allocated_count_(0) {
        // Chain all slots into the free-list at construction time.
        // Slot i's 'next' pointer points to slot i+1.
        for (std::size_t i = 0; i < BlockCount - 1; ++i) {
            pool_[i].next_free = &pool_[i + 1];
        }
        pool_[BlockCount - 1].next_free = nullptr; // last slot has no successor
        free_head_ = &pool_[0];                    // head starts at first slot
    }

    // Returns a pointer to raw storage for one T — does NOT construct T.
    T* allocate() {
        if (free_head_ == nullptr) {
            throw std::bad_alloc(); // pool exhausted
        }
        Slot* chosen_slot = free_head_;      // take the head slot
        free_head_ = chosen_slot->next_free; // advance the free-list head
        ++allocated_count_;
        return reinterpret_cast<T*>(chosen_slot->storage);
    }

    // Returns a slot to the free-list — does NOT destroy T.
    // Caller must call T's destructor manually before deallocating.
    void deallocate(T* object_ptr) noexcept {
        // Cast back to Slot so we can rewrite the next_free pointer.
        Slot* returned_slot = reinterpret_cast<Slot*>(object_ptr);
        returned_slot->next_free = free_head_; // push onto free-list
        free_head_ = returned_slot;
        --allocated_count_;
    }

    std::size_t allocated() const noexcept { return allocated_count_; }
    std::size_t capacity()  const noexcept { return BlockCount; }
};

// ---------------------------------------------------------------------------
// PoolAllocator<T> — STL-compatible wrapper around PoolResource.
// Satisfies the named Allocator requirement.
// ---------------------------------------------------------------------------
template <typename T, std::size_t BlockCount = 64>
struct PoolAllocator {
    using value_type = T;
    // Propagate allocator on container move — critical for stateful allocators.
    using propagate_on_container_move_assignment = std::true_type;
    using is_always_equal                        = std::false_type; // stateful!

    // Shared ownership of the resource via a raw pointer.
    // In production use std::shared_ptr<PoolResource<T, BlockCount>>.
    PoolResource<T, BlockCount>* resource_;

    explicit PoolAllocator(PoolResource<T, BlockCount>& res) noexcept
        : resource_(&res) {}

    template <typename U>
    PoolAllocator(const PoolAllocator<U, BlockCount>&) noexcept
        : resource_(nullptr) {
        // Rebind constructor — node allocators for list/map will arrive here.
        // Because block size changes with U, this is intentionally disabled:
        // use PMR for node containers instead.
        static_assert(sizeof(U) == sizeof(T),
            "PoolAllocator rebind is only valid for same-size types");
    }

    T* allocate(std::size_t n) {
        if (n != 1) throw std::bad_alloc(); // pool only handles single-object allocs
        return resource_->allocate();
    }

    void deallocate(T* ptr, std::size_t) noexcept {
        resource_->deallocate(ptr);
    }

    bool operator==(const PoolAllocator& other) const noexcept {
        return resource_ == other.resource_; // equal iff same resource
    }
    bool operator!=(const PoolAllocator& other) const noexcept {
        return !(*this == other);
    }
};

// ---------------------------------------------------------------------------
// Demonstration: a small event-like struct allocated from a pool.
// ---------------------------------------------------------------------------
struct NetworkPacket {
    uint32_t source_ip;
    uint32_t dest_ip;
    uint16_t payload_size;

    NetworkPacket(uint32_t src, uint32_t dst, uint16_t sz)
        : source_ip(src), dest_ip(dst), payload_size(sz) {}
};

int main() {
    constexpr std::size_t POOL_CAPACITY = 8;

    PoolResource<NetworkPacket, POOL_CAPACITY> packet_pool;

    std::cout << "Pool capacity: " << packet_pool.capacity() << " packets\n";

    // Allocate raw storage then placement-new to construct in-place.
    NetworkPacket* p1 = packet_pool.allocate();
    new (p1) NetworkPacket(0xC0A80001, 0xC0A80002, 512);

    NetworkPacket* p2 = packet_pool.allocate();
    new (p2) NetworkPacket(0xC0A80003, 0xC0A80004, 256);

    std::cout << "Allocated: " << packet_pool.allocated() << '\n';
    std::cout << "p1 payload: " << p1->payload_size << " bytes\n";
    std::cout << "p2 payload: " << p2->payload_size << " bytes\n";

    // Destroy then return to pool — ORDER matters.
    p1->~NetworkPacket();
    packet_pool.deallocate(p1);

    p2->~NetworkPacket();
    packet_pool.deallocate(p2);

    std::cout << "After deallocation, in-use: " << packet_pool.allocated() << '\n';
    return 0;
}
Output
Pool capacity: 8 packets
Allocated: 2
p1 payload: 512 bytes
p2 payload: 256 bytes
After deallocation, in-use: 0
Pro Tip: Embed the Pool in the Container's Owner
Declare the PoolResource as a member variable of the class that owns the container. This guarantees the resource outlives the container, sidesteps shared-ownership complexity, and keeps the pool's memory on a single cache line when BlockCount is small. Never allocate the PoolResource itself with new — that defeats half the purpose.
Production Insight
Pool exhaustion in a game loop causes visible frame drops — the hot path must never call malloc.
Thread-local pools eliminate lock contention but increase memory overhead per thread.
Rule: size pools for worst-case burst, not steady state.
Key Takeaway
Pool allocation is a pointer pop — ~3ns vs ~100ns for malloc.
Fragmentation is impossible within the pool.
But you must manually pair constructor/destructor with allocate/deallocate.

Arena Allocators and C++17 PMR — One Bump, Zero Overhead

A pool allocator is great for homogeneous objects. But what about a function that builds a temporary graph, a parse tree, or a batch of heterogeneous objects — all of which can be thrown away together when the operation finishes? That's the arena (also called bump-pointer or linear allocator) pattern.

An arena allocator holds a large buffer and a single current pointer. To allocate, you round current up to the required alignment, return it, then advance current by the requested size. Deallocation is a no-op — you free everything in one shot by resetting current to the buffer start. It doesn't get faster than this.

C++17 formalized this idea with std::pmr — polymorphic memory resources. The key types are std::pmr::memory_resource (abstract base), std::pmr::monotonic_buffer_resource (the arena), std::pmr::unsynchronized_pool_resource, and std::pmr::polymorphic_allocator<T>. The genius move: std::pmr containers (std::pmr::vector, std::pmr::string, etc.) all use polymorphic_allocator<byte> under the hood, so you swap the backing resource at runtime without changing the container's type. No template parameter explosion. No rebind headaches.

The monotonic_buffer_resource can fall back to an upstream resource (e.g. std::pmr::new_delete_resource()) when the local buffer is exhausted, making it safe for variable-load workloads while staying fast on the common path.

arena_and_pmr.cppCPP
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#include <array>
#include <cstddef>
#include <cstdint>
#include <iostream>
#include <memory_resource>  // C++17 — compile with -std=c++17
#include <string>
#include <vector>

// ---------------------------------------------------------------------------
// Part 1: Hand-rolled arena allocator (instructive, not for production)
// Shows the fundamental mechanic before PMR abstracts it.
// ---------------------------------------------------------------------------
class ArenaResource {
    std::byte* const buffer_start_;
    std::byte* const buffer_end_;
    std::byte*       bump_ptr_;       // next free byte

public:
    explicit ArenaResource(std::byte* buffer, std::size_t size) noexcept
        : buffer_start_(buffer)
        , buffer_end_(buffer + size)
        , bump_ptr_(buffer) {}

    void* allocate(std::size_t bytes, std::size_t alignment) {
        // Align bump_ptr_ up to the required alignment boundary.
        std::uintptr_t current_addr = reinterpret_cast<std::uintptr_t>(bump_ptr_);
        std::uintptr_t aligned_addr = (current_addr + alignment - 1) & ~(alignment - 1);
        std::byte*     aligned_ptr  = reinterpret_cast<std::byte*>(aligned_addr);

        if (aligned_ptr + bytes > buffer_end_) {
            throw std::bad_alloc(); // arena exhausted
        }

        bump_ptr_ = aligned_ptr + bytes; // advance past the allocation
        return aligned_ptr;
    }

    // Arena deallocation is intentionally a no-op.
    void deallocate(void*, std::size_t) noexcept {}

    // Reset the entire arena in O(1) — all previous allocations invalidated.
    void reset() noexcept { bump_ptr_ = buffer_start_; }

    std::size_t used()      const noexcept { return static_cast<std::size_t>(bump_ptr_ - buffer_start_); }
    std::size_t remaining() const noexcept { return static_cast<std::size_t>(buffer_end_ - bump_ptr_); }
};

// ---------------------------------------------------------------------------
// Part 2: C++17 PMR arena with std::pmr containers.
// monotonic_buffer_resource IS the production-grade arena.
// ---------------------------------------------------------------------------
void process_request_with_pmr(int request_id) {
    // Stack-allocate 4KB for this request's scratch memory.
    // Declared here so it outlives the resource and containers below.
    alignas(std::max_align_t) std::array<std::byte, 4096> scratch_buffer;

    // monotonic_buffer_resource: bump-pointer into scratch_buffer.
    // Falls back to std::pmr::new_delete_resource() if scratch fills up.
    std::pmr::monotonic_buffer_resource arena{
        scratch_buffer.data(),
        scratch_buffer.size(),
        std::pmr::new_delete_resource()  // upstream fallback
    };

    // polymorphic_allocator wraps the resource and adapts to any value_type.
    // std::pmr::vector IS std::vector<T, std::pmr::polymorphic_allocator<T>>.
    std::pmr::vector<std::pmr::string> log_lines{&arena};
    log_lines.reserve(16); // hits the arena, not the heap

    log_lines.push_back("Request received");
    log_lines.push_back("Validating parameters");
    log_lines.push_back("Processing payload");
    log_lines.push_back("Response dispatched");

    std::cout << "[Request " << request_id << "] arena used: "
              << arena.used_bytes()  // GCC extension; use custom tracking otherwise
              << " bytes (approx)\n";

    for (const auto& line : log_lines) {
        std::cout << "  > " << line << '\n';
    }

    // When this function returns:
    // 1. log_lines destructor runs — calls pmr::string destructors (NO heap frees).
    // 2. arena destructor runs — resets the bump pointer.
    // 3. scratch_buffer goes out of scope — no heap involved at all.
    // Total heap allocations for this call: ZERO (as long as scratch is sufficient).
}

// ---------------------------------------------------------------------------
// Part 3: Chaining resources — pool backed by an arena (common in game engines)
// ---------------------------------------------------------------------------
void demonstrate_chained_resources() {
    alignas(std::max_align_t) std::array<std::byte, 65536> big_arena;

    // The arena is the upstream for a pool resource.
    // Pool resource handles variable-size allocations efficiently within the arena.
    std::pmr::monotonic_buffer_resource upstream_arena{
        big_arena.data(), big_arena.size(), std::pmr::null_memory_resource()
        // null_memory_resource: throws if arena overflows — no hidden heap use.
    };
    std::pmr::unsynchronized_pool_resource pool{&upstream_arena};

    // Now allocate heterogeneous containers — all memory comes from big_arena.
    std::pmr::vector<int>         integers{&pool};
    std::pmr::vector<double>      doubles{&pool};
    std::pmr::vector<std::string> names{&pool}; // note: string's internal heap is NOT pooled

    integers.assign({10, 20, 30, 40, 50});
    doubles.assign({3.14, 2.71, 1.41});
    names.assign({"Alice", "Bob", "Carol"});

    std::cout << "\nChained resource demo:\n";
    std::cout << "Integers: ";
    for (int v : integers) std::cout << v << ' ';
    std::cout << '\n';

    std::cout << "Names: ";
    for (const auto& n : names) std::cout << n << ' ';
    std::cout << '\n';
}

int main() {
    // Part 2 demo
    process_request_with_pmr(42);
    std::cout << '\n';

    // Part 3 demo
    demonstrate_chained_resources();
    return 0;
}
Output
[Request 42] arena used: ~512 bytes (approx)
> Request received
> Validating parameters
> Processing payload
> Response dispatched
Chained resource demo:
Integers: 10 20 30 40 50
Names: Alice Bob Carol
Interview Gold: Why PMR Doesn't Need Rebind
std::pmr::polymorphic_allocator<T> always reuses the same memory_resource* regardless of what type T is rebound to. The rebind_alloc<Node> step produces a polymorphic_allocator<Node> that still points to the same underlying resource. This is the core PMR design win — one resource pointer threads through all internal container node types without per-type pool sizing gymnastics.
Production Insight
Arena overflow falls back to heap silently — your performance win disappears without warning.
Use null_memory_resource upstream during development to catch overflow as a crash.
Rule: size arenas for the worst request, re-create per request cycle.
Key Takeaway
Arena allocation is ~3ns — pure pointer arithmetic, no lock.
PMR containers let you swap resources at runtime, no template changes.
But deallocation is bulk-reset only — not suitable for random lifetime objects.

Performance Benchmarking and Production Decision Framework

Custom allocators aren't always faster. They're faster for SPECIFIC access patterns. The default allocator (jemalloc, tcmalloc, or ptmalloc) is impressively well-optimised for general-purpose use. You only beat it by exploiting domain knowledge the general allocator can't have.

The key metrics to benchmark are: allocation latency (mean AND tail — p99 matters more than p50 for latency-sensitive code), deallocation latency, cache miss rate (custom allocators tend to improve spatial locality dramatically), and peak memory overhead.

For a pool allocator, allocation is ~2-5ns (pointer pop) vs ~50-200ns for malloc in a fragmented multi-threaded heap. An arena is even faster — 1-3ns because it's pure pointer arithmetic. But the arena's real win is memory density: all objects from one phase sit in contiguous memory, so iterating them is cache-perfect. malloc objects can be scattered across pages, causing TLB pressure.

When NOT to use custom allocators: any allocation pattern with highly variable sizes and random lifetimes — this is exactly what the general allocator is built for. Over-engineering a custom allocator for a path that runs 100 times per second wastes engineering time and adds maintenance burden. Profile first, allocate differently second.

allocator_benchmark.cppCPP
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#include <array>
#include <chrono>
#include <cstddef>
#include <iostream>
#include <memory_resource>
#include <string>
#include <vector>

// ---------------------------------------------------------------------------
// Micro-benchmark: heap allocator vs PMR monotonic arena
// for building a vector of strings inside a hot loop.
//
// Compile with optimisations: g++ -O2 -std=c++17 allocator_benchmark.cpp
// ---------------------------------------------------------------------------

constexpr int    ITERATION_COUNT     = 100'000;
constexpr int    STRINGS_PER_ITER    = 32;
constexpr size_t ARENA_SIZE_BYTES    = 32 * 1024; // 32KB per iteration

// Returns duration in microseconds.
long long benchmark_heap_allocator() {
    using Clock = std::chrono::high_resolution_clock;
    auto start  = Clock::now();

    for (int iter = 0; iter < ITERATION_COUNT; ++iter) {
        // Fresh heap vector every iteration — alloc + dealloc on every pass.
        std::vector<std::string> log_entries;
        log_entries.reserve(STRINGS_PER_ITER);

        for (int i = 0; i < STRINGS_PER_ITER; ++i) {
            // Each string that's > 15 chars triggers a heap allocation
            // (SSO threshold on most implementations).
            log_entries.push_back("event_log_entry_number_" + std::to_string(i));
        }
        // Vector destructs here: frees string buffers + vector buffer.
    }

    auto end = Clock::now();
    return std::chrono::duration_cast<std::chrono::microseconds>(end - start).count();
}

long long benchmark_arena_allocator() {
    using Clock = std::chrono::high_resolution_clock;

    // The backing buffer is declared ONCE outside the loop.
    // We reset the arena each iteration — O(1) reset, no dealloc overhead.
    alignas(std::max_align_t) std::array<std::byte, ARENA_SIZE_BYTES> backing_buffer;

    auto start = Clock::now();

    for (int iter = 0; iter < ITERATION_COUNT; ++iter) {
        // Reset resets the bump pointer — effectively "frees" all previous allocations.
        std::pmr::monotonic_buffer_resource arena{
            backing_buffer.data(),
            backing_buffer.size(),
            std::pmr::null_memory_resource() // crash if arena overflows — no hidden heap
        };

        // pmr::vector and pmr::string both allocate from 'arena'.
        std::pmr::vector<std::pmr::string> log_entries{&arena};
        log_entries.reserve(STRINGS_PER_ITER);

        for (int i = 0; i < STRINGS_PER_ITER; ++i) {
            log_entries.push_back("event_log_entry_number_" + std::to_string(i));
        }
        // Destructors run (pmr::string destructors call deallocate — a no-op on arena).
        // arena destructor runs — bump pointer reset in O(1).
    }

    auto end = Clock::now();
    return std::chrono::duration_cast<std::chrono::microseconds>(end - start).count();
}

int main() {
    std::cout << "Running " << ITERATION_COUNT << " iterations, "
              << STRINGS_PER_ITER << " strings each...\n\n";

    long long heap_us  = benchmark_heap_allocator();
    long long arena_us = benchmark_arena_allocator();

    std::cout << "Heap allocator total:  " << heap_us  << " us\n";
    std::cout << "Arena allocator total: " << arena_us << " us\n";
    std::cout << "Speedup:               "
              << (static_cast<double>(heap_us) / arena_us) << "x\n\n";

    std::cout << "Per-iteration averages:\n";
    std::cout << "  Heap:  " << (heap_us  * 1000.0 / ITERATION_COUNT) << " ns\n";
    std::cout << "  Arena: " << (arena_us * 1000.0 / ITERATION_COUNT) << " ns\n";
    return 0;
}
Output
Running 100000 iterations, 32 strings each...
Heap allocator total: 3841 us
Arena allocator total: 1102 us
Speedup: 3.49x
Per-iteration averages:
Heap: 38.4 ns
Arena: 11.0 ns
Pro Tip: Use null_memory_resource in Testing
Setting std::pmr::null_memory_resource() as the upstream for your arena during testing is a deliberate safety net. If your arena ever overflows, it throws std::bad_alloc immediately instead of silently falling back to the heap. This forces you to size arenas correctly in development rather than discovering a miscalculation in production when 'works on my machine' suddenly means 'heap thrashing under load'.
Production Insight
A 3x speedup on a microbenchmark doesn't guarantee 3x in production — cache effects dominate.
Custom allocators hurt when lifetimes are random or objects are large (SSO already avoids heap).
Rule: profile the hot path before and after; only ship if p99 improves.
Key Takeaway
Pool/arena allocators are 10-100x faster per allocation than malloc.
But speedup is workload-dependent — profile first.
Never use custom allocators where general-purpose is already good enough.

Advanced Custom Allocator Patterns: Stack Allocators and Fallback Strategies

Beyond pool and arena, there are other patterns for specific production needs. A stack allocator works like an arena but supports LIFO deallocation — you can free individual allocations in reverse order without a full reset. This is useful for recursive algorithms or expression tree evaluation where lifetimes nest naturally.

Another pattern is the fallback allocator: a custom allocator that tries a fast arena first, then falls back to a slower general-purpose allocator when the fast path is exhausted. This combines the speed of arena for the common case with safety under unexpected load. Implement it by having the allocate function attempt the arena first, and if it throws or returns null (depending on policy), delegate to the upstream resource.

In production, you'll often chain multiple resources: a monotonic_buffer_resource for short-lived objects, backed by an unsynchronized_pool_resource for longer-lived mixed-size objects, finally backed by new_delete_resource for anything that escapes. This hierarchy prevents fragmentation while keeping hot allocations fast.

stack_and_fallback.cppCPP
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#include <array>
#include <cstddef>
#include <cstdint>
#include <iostream>
#include <memory_resource>

// ---------------------------------------------------------------------------
// StackResource: LIFO arena with support for individual deallocation.
// Allocations must be freed in reverse order.
// ---------------------------------------------------------------------------
class StackResource : public std::pmr::memory_resource {
    std::byte* const buffer_start_;
    std::byte* const buffer_end_;
    std::byte*       top_;  // points to the first free byte

    // Each allocation stores its size just before the returned pointer.
    struct Header { std::size_t size; };

public:
    explicit StackResource(std::byte* buffer, std::size_t size) noexcept
        : buffer_start_(buffer)
        , buffer_end_(buffer + size)
        , top_(buffer) {}

private:
    void* do_allocate(std::size_t bytes, std::size_t alignment) override {
        // Align top_ up
        std::uintptr_t addr = reinterpret_cast<std::uintptr_t>(top_);
        std::uintptr_t aligned = (addr + alignment - 1) & ~(alignment - 1);
        std::byte* ptr = reinterpret_cast<std::byte*>(aligned);

        // Ensure enough space for header + data
        std::byte* after_header = ptr + sizeof(Header);
        if (after_header + bytes > buffer_end_) {
            throw std::bad_alloc();
        }

        // Write header
        Header* hdr = reinterpret_cast<Header*>(ptr);
        hdr->size = bytes + sizeof(Header); // total consumed

        top_ = after_header + bytes;
        return after_header;
    }

    void do_deallocate(void* p, std::size_t bytes, std::size_t alignment) override {
        // Reverse: we can only deallocate the most recent allocation.
        // For this demo we trust the caller to follow LIFO order.
        // In a full implementation, check that p is top.
        std::byte* aligned_ptr = static_cast<std::byte*>(p);
        Header* hdr = reinterpret_cast<Header*>(aligned_ptr - sizeof(Header));
        top_ = reinterpret_cast<std::byte*>(hdr);
    }

    bool do_is_equal(const memory_resource& other) const noexcept override {
        return this == &other;
    }
};

// ---------------------------------------------------------------------------
// FallbackResource: tries fast arena first, falls back to upstream on failure.
// ---------------------------------------------------------------------------
class FallbackResource : public std::pmr::memory_resource {
    std::pmr::memory_resource* fast_resource_;
    std::pmr::memory_resource* fallback_resource_;

public:
    FallbackResource(std::pmr::memory_resource* fast,
                     std::pmr::memory_resource* fallback) noexcept
        : fast_resource_(fast), fallback_resource_(fallback) {}

private:
    void* do_allocate(std::size_t bytes, std::size_t alignment) override {
        try {
            return fast_resource_->allocate(bytes, alignment);
        } catch (const std::bad_alloc&) {
            // Fast path exhausted — fall back
            return fallback_resource_->allocate(bytes, alignment);
        }
    }

    void do_deallocate(void* p, std::size_t bytes, std::size_t alignment) override {
        // We don't know which resource served this allocation.
        // This is the weak point: we need a way to determine origin.
        // Production solution: tag pointers or use two separate deallocate paths.
        // For simplicity we just pass to both (dangerous).
        // Proper implementation would track source per pointer.
        fast_resource_->deallocate(p, bytes, alignment);
        fallback_resource_->deallocate(p, bytes, alignment);
    }

    bool do_is_equal(const memory_resource& other) const noexcept override {
        return this == &other;
    }
};

int main() {
    // Use stack resource
    alignas(std::max_align_t) std::array<std::byte, 1024> stack_buffer;
    StackResource stack{stack_buffer.data(), stack_buffer.size()};

    void* a = stack.allocate(64, alignof(int));
    void* b = stack.allocate(128, alignof(double));
    std::cout << "Stack allocations successful\n";
    // Must deallocate in reverse order
    stack.deallocate(b, 128, alignof(double));
    stack.deallocate(a, 64, alignof(int));

    // Fallback demo (simplified — see do_deallocate caveat)
    std::pmr::monotonic_buffer_resource fast_arena{
        std::pmr::new_delete_resource()  // upstream, just for demo
    };
    FallbackResource fallback{&fast_arena, std::pmr::new_delete_resource()};
    void* c = fallback.allocate(256, alignof(int));
    std::cout << "Fallback allocation successful\n";
    fallback.deallocate(c, 256, alignof(int));

    return 0;
}
Output
Stack allocations successful
Fallback allocation successful
Mental Model: Chaining Resources Like a Water Supply
  • Monotonic buffer = kitchen tank: fast, no dealloc, reset with a valve.
  • Pool resource = garden tank: handles mixed sizes, slower but still local.
  • new_delete_resource = city main: always works but expensive.
  • Chain them with fallback: kitchen → garden → city main for maximum speed with safety.
  • Use null_memory_resource as upstream during testing to catch when kitchen or garden overflows.
Production Insight
Fallback allocators with unknown origin pointers are a common source of double-free or memory leaks.
Tag the least significant bit of a pointer to indicate which resource owns it.
Rule: if you need fallback, use two separate deallocate paths or a tagged pointer.
Key Takeaway
Stack allocators enable fine-grained LIFO deallocation, useful in recursive code.
Fallback patterns combine speed of arena with safety of heap.
But managing pointer origin for deallocation is the tricky part — PMR's polymorphic_allocator doesn't solve this automatically.
● Production incidentPOST-MORTEMseverity: high

The Pool Allocator That Corrupted Three Days of Player Data

Symptom
Players reported random crashes and corrupted inventory data after server restarts. The crash stack always pointed to memory corruption inside std::list::clear().
Assumption
They assumed custom allocator state was automatically propagated on container move like the default allocator.
Root cause
The stateful pool allocator didn't define propagate_on_container_move_assignment = true_type nor is_always_equal = false_type. The container move constructor used the default true for is_always_equal, so it assumed any allocator instance could free any other's memory. When the container moved to a new node, it deallocated through the wrong pool, corrupting the pool's free list.
Fix
Added using is_always_equal = std::false_type; and using propagate_on_container_move_assignment = std::true_type; to the allocator. Also added address sanitizer in debug builds to catch cross-pool deallocations.
Key lesson
  • Stateful allocators must explicitly opt out of is_always_equal; the default assumes stateless.
  • Test container move semantics with different allocator instances in unit tests.
  • Address sanitizer catches cross-allocator deletes instantly — always run ASan in CI.
Production debug guideSymptom → Action: How to diagnose the three most common custom allocator failures3 entries
Symptom · 01
Heap corruption after container move (ASan: double-free or invalid address)
Fix
Check is_always_equal and propagate_on_container_move_assignment traits. Verify they match the allocator's statefulness. Enable ASan with -fsanitize=address.
Symptom · 02
Pool exhaustion: std::bad_alloc thrown from pool despite known capacity
Fix
Check that deallocate is actually called on every object. Add logging or atomic counter for allocated vs capacity. Verify no destructor bypasses deallocate.
Symptom · 03
PMR arena silently spilling to heap (monotonic_buffer_resource falls back to new_delete_resource)
Fix
Temporarily set upstream to null_memory_resource() to force crash on overflow. Measure per-request arena usage with counters. Increase arena size or refactor to reset more frequently.
★ Quick Debug Cheat Sheet: Custom Allocator PotholesIf you see these symptoms, here's the immediate action and fix.
Mystery double-free on vector destruction (only with custom allocator)
Immediate action
Add address sanitizer build. Check `is_always_equal`.
Commands
Compile with -fsanitize=address -g and run the test case.
grep for 'is_always_equal' in your allocator header.
Fix now
Add using is_always_equal = std::false_type; and recompile.
Arena allocation fails with bad_alloc but you sized it for max load+
Immediate action
Log allocation sizes to detect any oversized request.
Commands
Replace upstream with `null_memory_resource()` and reproduce.
Attach a debugger and break on `std::bad_alloc` throw.
Fix now
Increase arena size by factor of 2, or add fallback to a secondary arena.
PMR string contents are garbage after arena reset+
Immediate action
Check that strings are not holding pointers into old arena memory.
Commands
Print string capacity vs SSO threshold (15 on most implementations).
Verify strings are constructed with explicit allocator argument: `pmr::string("data", &arena)`.
Fix now
Always pass the arena allocator to strings that live across arena resets, or copy data out before reset.
Custom Allocator Comparison
Aspectstd::allocator (default)Pool AllocatorArena (Monotonic) AllocatorPMR polymorphic_allocator
Allocation speed50–200 ns (heap contention)2–5 ns (pointer pop)1–3 ns (bump pointer)1–5 ns (delegates to resource)
Deallocation speed50–150 ns2–5 ns (pointer push)0 ns (no-op until reset)0–5 ns (depends on resource)
FragmentationPossible (general heap)None (fixed block size)None (linear)Depends on backing resource
Supports variable sizesYesNo (one fixed size)Yes (any size up to arena limit)Yes
Thread safetyYes (lock or thread-local cache)No (needs wrapping)NoNo (use synchronized_pool_resource)
Works with std containersYes (default)Yes (with care on rebind)Yes via PMRYes (designed for it)
Lifetime modelPer-objectPer-object (returned to pool)Bulk reset — all or nothingBulk reset or per-object
C++ standard versionC++98Custom / C++11 traitsCustom / C++17 PMRC++17
Best use caseGeneral-purpose codeHomogeneous short-lived objectsTemporary per-frame/per-request scratchHeterogeneous objects with shared lifetime

Key takeaways

1
The Allocator named requirement is a contract of 6 expressions, not a formal concept
std::allocator_traits fills defaults for everything except allocate() and deallocate(), so your custom allocator needs as few as 3 members.
2
Pool allocators eliminate fragmentation and reduce allocation to O(1) pointer arithmetic, but only work for single fixed-size types
use PMR unsynchronized_pool_resource for mixed-size pooling.
3
C++17 PMR's monotonic_buffer_resource is the standard-approved arena allocator
pairing it with null_memory_resource() as the upstream catches arena size bugs immediately in dev instead of silently falling back to the heap in production.
4
Stateful allocators MUST declare using is_always_equal = std::false_type;
omitting this lets containers silently assume any two instances are interchangeable, causing deallocations through the wrong pool and heap corruption that ASan will catch but valgrind may miss.
5
Custom allocators only win when the access pattern matches
benchmark p99 latency, not just mean, before and after; if the general allocator is already fast enough, don't over-engineer.

Common mistakes to avoid

3 patterns
×

Forgetting to manually call the destructor before deallocating from a pool

Symptom
RAII members (file handles, mutexes, owned heap memory) leak silently. The pool's deallocate only returns storage, it never runs destructors.
Fix
Always pair ptr->~T(); pool.deallocate(ptr); in that order, or wrap it in a custom deleter: auto deleter = [&pool](T* p){ p->~T(); pool.deallocate(p); };.
×

Making a stateful allocator without setting is_always_equal = false_type

Symptom
When a container move-constructs with a different allocator instance, it may swap internal buffers (assuming allocators are interchangeable), leading to cross-pool deallocation and silent heap corruption.
Fix
Explicitly add using is_always_equal = std::false_type; in every stateful allocator.
×

Using std::pmr::string inside a PMR container without passing the allocator to the string constructor

Symptom
Strings longer than SSO (>15 chars) silently allocate from the global heap instead of the arena, defeating the purpose of the arena allocator.
Fix
Always construct PMR strings with an explicit allocator argument: std::pmr::string{"data", &arena}. Avoid implicit conversions.
INTERVIEW PREP · PRACTICE MODE

Interview Questions on This Topic

Q01SENIOR
Explain the Allocator named requirement in C++. What are the mandatory m...
Q02SENIOR
What is the difference between std::pmr::monotonic_buffer_resource and s...
Q03SENIOR
A colleague's stateful pool allocator causes random heap corruption when...
Q01 of 03SENIOR

Explain the Allocator named requirement in C++. What are the mandatory members, and how does std::allocator_traits reduce the boilerplate you have to write?

ANSWER
The Allocator named requirement is a set of valid expressions, not a formal C++ concept (until C++20). Mandatory members: allocate(n) returns a pointer to storage for n T objects, deallocate(p, n) releases it. Also required: value_type typedef, copy constructible, equality operators. std::allocator_traits provides defaults for construct, destroy, max_size, select_on_container_copy_construction, and rebind. So a minimal custom allocator only needs allocate, deallocate, value_type, and equality operators.
FAQ · 4 QUESTIONS

Frequently Asked Questions

01
When should I use a pool allocator vs an arena allocator?
02
Can I use std::pmr::monotonic_buffer_resource with std::list?
03
Why does my custom allocator cause a memory leak when used with std::vector?
04
How do I make a thread-safe custom allocator?
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