Skip to content(if available)orjump to list(if available)

Cmapv2: A high performance, concurrent map

kiitos

This repo is completely unsound, code like [1] is pervasive and demonstrates a total misunderstanding of what guarantees are provided -- or, really, not provided -- by "atomic" reads of unsafe.Pointer values. Data races everywhere!

Not safe, do not pass go, do not collect $200, absolutely do not use.

[1] https://github.com/sirgallo/cmapv2/blob/280e3017ae4ba212f6f8...

sapiogram

Thank you for debunking it so I didn't have to. I don't think I've ever seen someone post a low-level/concurrent data structure in Go that wasn't wildly unsound, so I assumed this was too.

diagraphic

There are many good implementations.

kiitos

Be more specific? OK

---

CopyNode broken

`CopyNode` duplicates only the parent; every child pointer is still shared

    nodeCopy.setChildren(make([]*node, len(n.children)))
    copy(nodeCopy.children, n.children) // pointers reused
https://github.com/sirgallo/cmapv2/blob/main/node.go#L11-L17

Any later mutation (for example `setValue`) writes through those shared pointers, so readers and historical snapshots are modified concurrently -- invalid, data race, memory model violation

---

Bitmap corruption

`SetBit` uses XOR rather than “set”:

    func SetBit(bitmap uint32, position int) uint32 { return bitmap ^ (1 << position) }
https://github.com/sirgallo/cmapv2/blob/main/utils.go#L41-L4...

Calling it twice on the same index flips the bit back to 0. During branch-creation on insert and during delete, this function is invoked multiple times on the same index, clearing a bit that should remain set and leaving orphaned children.

---

Invalid assumptions re: interior pointers

Only the root pointer is read with `atomic.LoadPointer`. All deeper fields like `children[pos]`, `bitmap`, and the byte-slice keys/values, are accessed directly after a successful CAS. Readers therefore race with writers that mutate these fields in place -- race condition, memory model violation, etc.

    pos := cMap.getPosition(node.Bitmap(), hash, level)
    if node.Child(pos).IsLeaf() && bytes.Equal(key, node.Child(pos).Key()) {
        return node.Child(pos).Value()
    }

https://github.com/sirgallo/cmapv2/blob/main/operation.go#L5...

---

All xxxRecursive functions rely on those invalid interior pointer assumptions

Sequence in `putRecursive` / `deleteRecursive` is

    1. `curr := atomic.LoadPointer(ptr)`
    2. Build `nodeCopy`
    3. Recurse; grandchildren are mutated in place
    4. `atomic.CompareAndSwap(ptr, curr, nodeCopy)`
https://github.com/sirgallo/cmapv2/blob/main/operation.go#L1...

If another goroutine has already swapped in a different copy of `curr` (and mutated it) the CAS still succeeds because the pointer value is unchanged, merging incompatible sub-tries and corrupting the data

---

Use-after-free in sync.Pool

On CAS failure the freshly built `nodeCopy` is immediately returned to a `sync.Pool` -- undefined behavior

    cMap.pool.PutNode(nodeCopy) // may race with outstanding readers
https://github.com/sirgallo/cmapv2/blob/main/operation.go#L1...

Other goroutines still holding references to that node can now access a reclaimed object, oops.

---

K/V Aliasing

Keys and values (both []byte slices, which are not safe for concurrent r/w access) are stored by reference, a mistake:

    n.setKey(key)
    n.setValue(value)
If the caller mutates those slices later (or concurrently in another goroutine), data races ahoy

---

Reader panics, etc.

    - `getRecursive` accesses `children[pos]` without bounds or nil checks, concurrent shrink can make `pos` invalid
    - `GetIndex` allows a negative `shiftSize` once `level >= 7` with `chunkSize = 5`, producing nonsense indices and potential slice-out-of-bounds

johnisgood

> both []byte slices, which are not safe for concurrent r/w access

You must clone the slice on both write and read, right?

I get that cloning incurs a memory allocation and a copy operation, but this is the price for safety when concurrent access is possible or your data may be bodified outside your structure.

You could probably intern immutable keys, or avoid storing if keys already exist and are immutable, or use an object pool (like sync.Pool) to reduce allocations if this happens at scale. Anything else I am missing?

sirgallo

Performance comparisons are made against go sync.Map, with cmapv2 on par or sometimes exceeding is on different workloads. It is both lock-free and thread safe, using atomic operations. It also supports sharding out of the box. cmapv2 with 10m k/v pairs where keys and values are 64bytes was able to achieve 1.5m w/s and 3m r/s.

latchkey

I've been using this one for years, can you do comparisons against it?

https://github.com/cornelk/hashmap

jzelinskie

Another good comparison would be against https://pkg.go.dev/github.com/puzpuzpuz/xsync/v3#Map

sirgallo

definitely, I can expand my comparisons and benchmarks

sirgallo

yes I can take a look, thanks for passing that along

pstuart

Looks interesting, it would be nice to have the performance comparisons front and center on the readme.

sirgallo

sounds good, they are a bit hidden right now. also am most likely going to update the other docs.

gttalbot

Is it anywhere close to swisstables?

vlovich123

No because swisstables generally don't do concurrency (i.e. concurrency ==> atomics which are inherently more expensive due to HW reasons).