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* docs: add internode data transport RFC * feat: add internode operation metrics * fix feedback * fix(ci): fallback protoc token to github.token --------- Co-authored-by: Henry Guo <marshawcoco@users.noreply.github.com>
391 lines
16 KiB
Markdown
391 lines
16 KiB
Markdown
# RFC: Pluggable Internode Data Transport
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> Status: draft
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> Last updated: 2026-05-19
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> Scope: internode data-path analysis, benchmark baseline, and transport boundary
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## Summary
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RustFS does not currently include RDMA, RoCE, InfiniBand, DPU, BlueField/DOCA,
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DPDK, SPDK, or SmartNIC offload support. The current distributed internode
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paths use TCP-based HTTP/gRPC transports:
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- `tonic` gRPC `NodeService` for most control, metadata, lock, health, and
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peer operations.
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- HTTP streaming routes under `/rustfs/rpc/` for remote disk file streams.
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RDMA/RoCE is still a plausible future optimization for large internode disk
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data transfers, but it should not replace the whole internode RPC surface.
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The correct first step is to isolate the data plane, establish a TCP baseline,
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and introduce a pluggable transport boundary only around high-volume streams.
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## Goals
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- Document the current internode control plane and data plane.
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- Identify the existing transfer paths that could benefit from a future
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high-throughput backend.
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- Define the minimum benchmark baseline required before transport changes.
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- Sketch a pluggable transport boundary that preserves the current TCP/HTTP
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behavior as the default backend.
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- Reserve explicit boundaries for future RDMA/RoCE/InfiniBand work without
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committing RustFS to a specific vendor stack.
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## Non-Goals
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- Implement RDMA, RoCE, InfiniBand, DPU, DOCA, DPDK, SPDK, or SmartNIC support.
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- Replace `tonic` gRPC for control-plane RPCs.
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- Redesign erasure coding, quorum handling, disk health tracking, or object
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correctness semantics.
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- Require RDMA-capable hardware for default development, CI, or ordinary
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RustFS deployments.
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## Current Internode Architecture
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### Server-side entry points
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The main HTTP server builds a hybrid service per connection:
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- `rustfs/src/server/http.rs` wires a `NodeServiceServer` for gRPC.
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- `rustfs/src/storage/rpc/InternodeRpcService` intercepts HTTP paths under
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`/rustfs/rpc/`.
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- Other HTTP/S3 traffic continues through the normal S3 service.
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Compression logic already treats `/rustfs/rpc/` and `/rustfs/peer/` as internode
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RPC paths and skips normal response compression for them.
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### gRPC channel management
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`crates/protos/src/lib.rs` creates internode gRPC channels with `tonic`
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`Endpoint`:
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- connect timeout
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- TCP keepalive
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- HTTP/2 keepalive interval and timeout
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- request timeout
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- optional TLS configuration
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- global channel caching and failed-connection eviction
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This confirms the current gRPC transport is TCP/HTTP2-based.
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### NodeService layout
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`crates/protos/src/node.proto` defines one `NodeService` that mixes several
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classes of RPCs:
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- meta service: bucket and metadata operations
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- disk service: local/remote disk operations
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- lock service: distributed lock operations
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- peer rest service: node health, metrics, IAM/policy reload, rebalance,
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profiling, events, and admin-style operations
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The service layout is practical today, but it is too broad to become an RDMA
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surface. A future high-throughput transport should target only disk data
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streams and keep this gRPC service as the control plane.
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## Control Plane vs Data Plane
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### Control plane
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These paths carry coordination, metadata, health, and administrative state.
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They should remain on gRPC/TCP:
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| Area | Client/server code | Examples | Notes |
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| --- | --- | --- | --- |
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| Bucket peer ops | `crates/ecstore/src/rpc/peer_s3_client.rs`, `rustfs/src/storage/rpc/bucket.rs` | `MakeBucket`, `ListBucket`, `DeleteBucket`, `GetBucketInfo`, `HealBucket` | Small metadata/control payloads. |
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| Locking | `crates/ecstore/src/rpc/remote_locker.rs`, `rustfs/src/storage/rpc/lock.rs` | `Lock`, `UnLock`, `Refresh`, batch lock/unlock | Latency-sensitive but not bulk data; correctness and timeout semantics matter more than transport bandwidth. |
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| Peer/admin state | `crates/ecstore/src/rpc/peer_rest_client.rs`, `rustfs/src/storage/rpc/health.rs`, `metrics.rs`, `event.rs` | `LocalStorageInfo`, `ServerInfo`, `GetMetrics`, `GetLiveEvents`, reload APIs, rebalance APIs | Operational control plane. |
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| Disk metadata/control | `crates/ecstore/src/rpc/remote_disk.rs`, `rustfs/src/storage/rpc/disk.rs` | `DiskInfo`, `ReadXL`, `ReadVersion`, `ReadMetadata`, `WriteMetadata`, `RenameFile`, `RenamePart`, `Delete*`, `VerifyFile`, `CheckParts` | Usually metadata, integrity checks, or namespace mutations. |
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| Connection health | `RemoteDisk`, `RemotePeerS3Client`, `PeerRestClient` | TCP connectivity probes and fault/recovery state | Must remain available even if an optional data backend is unavailable. |
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### Data plane candidates
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These paths move object shard bytes or stream potentially large disk data and
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are the only reasonable first candidates for a pluggable transport.
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| Priority | Path | Current client | Current server | Current transport | Why it matters |
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| --- | --- | --- | --- | --- | --- |
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| P0 | `read_file_stream` | `RemoteDisk::read_file_stream` | `handle_read_file` in `http_service.rs` | HTTP `GET /rustfs/rpc/read_file_stream` with a streaming response body | Main remote disk read stream used by bitrot readers and erasure reads. |
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| P0 | `put_file_stream` | `RemoteDisk::create_file` and `RemoteDisk::append_file` | `handle_put_file` in `http_service.rs` | HTTP `PUT /rustfs/rpc/put_file_stream` with a streaming request body | Main remote disk write stream used by bitrot writers and erasure writes. |
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| P1 | `walk_dir` | `RemoteDisk::walk_dir` | `handle_walk_dir` in `http_service.rs` | HTTP `GET /rustfs/rpc/walk_dir` with a streamed metadata listing | Can be high-volume during scans/healing, but it is metadata-oriented rather than object byte data. |
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| P1 | `ReadAll` / `WriteAll` | `RemoteDisk::read_all` / `write_all` | gRPC unary disk handlers | gRPC unary `bytes` payload | Moves bytes today, but should be measured before treating it as a high-throughput data path. |
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| P2 | proto `WriteStream` / `ReadAt` | currently not used | currently returns unimplemented | gRPC streaming definitions exist but are not implemented | Possible future API shape, not a current production path. |
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## Current Object Write Path
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For object PUTs in distributed erasure mode, the relevant flow is:
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1. Upper storage layers prepare object data and erasure metadata.
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2. `SetDisks` selects local and remote disks.
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3. `create_bitrot_writer` calls `disk.create_file(...)` for each shard writer.
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4. For a remote disk, `RemoteDisk::create_file` returns an `HttpWriter`.
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5. `HttpWriter` sends an HTTP `PUT` to `/rustfs/rpc/put_file_stream`.
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6. The remote node's `handle_put_file` opens the local file writer and copies
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incoming body chunks into it.
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7. `Erasure::encode` writes shards through `MultiWriter` to all selected
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writers while enforcing write quorum.
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This is the primary write data-plane candidate.
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## Current Object Read Path
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For object GETs and repair reads in distributed erasure mode, the relevant flow is:
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1. `SetDisks` prepares shard readers for the selected disks.
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2. `create_bitrot_reader` uses local zero-copy only when `disk.is_local()`.
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3. For a remote disk, it calls `disk.read_file_stream(...)`.
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4. `RemoteDisk::read_file_stream` returns an `HttpReader`.
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5. `HttpReader` sends an HTTP `GET` to `/rustfs/rpc/read_file_stream`.
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6. The remote node's `handle_read_file` opens the local disk stream and returns
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it as an HTTP streaming body.
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7. The erasure decoder reads from the shard streams and reconstructs the object.
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This is the primary read data-plane candidate.
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## Existing Metrics and Benchmark Surface
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RustFS already has coarse internode metrics in `crates/common/src/internode_metrics.rs`:
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- sent bytes
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- received bytes
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- outgoing requests
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- incoming requests
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- errors
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- dial errors
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- average dial time
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These metrics are useful as a starting point, but they are not enough for a
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transport RFC. A transport benchmark needs route-level and operation-level
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measurements for at least:
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- `read_file_stream`
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- `put_file_stream`
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- `walk_dir`
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- gRPC `ReadAll` / `WriteAll`
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- gRPC control-plane request volume
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Existing benchmark assets:
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- `scripts/run_object_batch_bench.sh`
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- `scripts/run_object_batch_bench_enhanced.sh`
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- `scripts/run_object_batch_bench_abc.sh`
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- `scripts/run_four_node_cluster_failover_bench.sh`
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- Criterion benches under `crates/ecstore/benches/`
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These mostly cover S3/object workload or erasure coding performance. They do
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not yet isolate internode transport cost.
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## Required TCP Baseline
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Before adding a transport abstraction or any RDMA backend, collect a baseline
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for the current TCP/HTTP/gRPC implementation.
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### Topology
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Minimum:
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- 1-node local erasure deployment, to measure local disk and erasure overhead.
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- 4-node distributed erasure deployment, to measure internode overhead.
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Preferred:
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- Same host count and disk layout for every run.
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- Dedicated network interface or isolated VLAN.
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- Fixed CPU governor and no unrelated background load.
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- Recorded kernel version, NIC model, MTU, RustFS commit, Rust toolchain, and
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benchmark tool versions.
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### Workloads
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| Workload | Sizes | Concurrency | Main signal |
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| --- | --- | --- | --- |
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| S3 PUT | 4 KiB, 1 MiB, 16 MiB, 128 MiB, 1 GiB | 1, 16, 64, 128 | End-to-end write throughput and tail latency. |
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| S3 GET | 4 KiB, 1 MiB, 16 MiB, 128 MiB, 1 GiB | 1, 16, 64, 128 | End-to-end read throughput and tail latency. |
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| Remote disk stream read | shard-sized ranges from `read_file_stream` | 1, 16, 64 | Isolated internode read path. |
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| Remote disk stream write | shard-sized writes through `put_file_stream` | 1, 16, 64 | Isolated internode write path. |
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| Healing / repair | missing disk or missing shard scenario | controlled | Rebuild throughput and read/write amplification. |
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| Scanner walk | large bucket/object namespace | controlled | Metadata streaming pressure, not primary RDMA target. |
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### Measurements
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Collect:
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- throughput in bytes/s and objects/s
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- p50, p95, p99, and max latency
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- CPU utilization per process and per core
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- memory RSS and allocation pressure where available
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- `rustfs_system_network_internode_*` metrics
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- TCP retransmits, socket errors, and NIC throughput
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- disk throughput and utilization
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- failure/retry/fallback counts
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The baseline should produce a machine-readable artifact, for example
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`target/bench/internode-transport/<timestamp>/summary.csv`, plus the exact
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commands and configuration used.
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## Transport Abstraction Proposal
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### Design principle
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Keep `NodeService` as the control plane. Introduce a separate data transport
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only below `RemoteDisk`, where remote disk byte streams are opened today.
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The first implementation should be a no-behavior-change TCP/HTTP backend that
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wraps the current `HttpReader`, `HttpWriter`, and `/rustfs/rpc/*` handlers.
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Only after that wrapper is benchmarked should an experimental RDMA/RoCE backend
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be considered.
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### Candidate boundary
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The narrowest useful boundary is remote disk stream transfer:
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```rust
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#[async_trait::async_trait]
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pub trait InternodeDataTransport: Send + Sync + std::fmt::Debug {
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async fn open_read(&self, request: ReadStreamRequest) -> Result<FileReader>;
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async fn open_write(&self, request: WriteStreamRequest) -> Result<FileWriter>;
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async fn walk_dir(&self, request: WalkDirStreamRequest, writer: &mut dyn AsyncWrite) -> Result<()>;
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fn capabilities(&self) -> InternodeTransportCapabilities;
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}
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```
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Initial request fields should mirror the current HTTP query parameters:
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- peer endpoint
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- disk reference
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- volume
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- path
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- offset
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- length
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- append/create mode
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- expected size
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- auth or transfer token material
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The initial TCP backend can keep the current signed HTTP URLs internally.
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### Integration point
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`RemoteDisk` should delegate only these methods to the data transport:
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- `read_file_stream`
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- `read_file_zero_copy` as a wrapper over `read_file_stream` unless the backend
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supports a stronger zero-copy API
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- `append_file`
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- `create_file`
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- optionally `walk_dir`
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All other `RemoteDisk` methods should continue using the current gRPC client
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until measurements prove otherwise.
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### Capability model
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Avoid hard-coding RDMA assumptions into the generic interface. Use capabilities:
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- stream read
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- stream write
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- bounded range read
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- bidirectional streaming
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- registered memory support
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- scatter/gather support
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- zero-copy receive into caller-owned buffers
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- authenticated out-of-band transfer
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- transport fallback support
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The first TCP backend should report only capabilities that it actually provides.
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## TCP Fallback Requirements
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TCP/HTTP/gRPC must remain the default and required backend.
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Fallback rules:
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- If no explicit data transport is configured, use the current TCP/HTTP
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implementation.
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- If an experimental backend fails initialization, either fail fast with a clear
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error or fall back to TCP only when the configured policy allows fallback.
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- Runtime fallback must preserve object correctness and quorum semantics.
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- Fallback events must be logged and counted in metrics.
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- CI and local development must not require RDMA-capable hardware.
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Suggested future configuration shape:
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```text
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RUSTFS_INTERNODE_DATA_TRANSPORT=tcp
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RUSTFS_INTERNODE_DATA_TRANSPORT_FALLBACK=tcp
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```
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Do not add these settings until there is an implementation PR that uses them.
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## Future RDMA/RoCE/InfiniBand Boundary
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A future RDMA backend should be experimental and feature-gated. It should be
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designed as an optional data-plane backend, not as a replacement for the gRPC
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control plane.
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Required design areas:
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- peer capability discovery over the existing gRPC control plane
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- connection management and health mapping into existing disk fault handling
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- memory registration lifecycle and registration cache
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- buffer ownership, pinning, alignment, and lifetime rules
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- scatter/gather behavior for erasure shards
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- authentication and authorization for out-of-band data transfers
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- encryption/TLS-equivalent story or a documented deployment boundary
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- timeout, cancellation, retry, and fallback behavior
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- metrics for registration cost, transfer latency, bytes, queue depth, retries,
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fallback, and errors
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- hardware and kernel compatibility matrix
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The first RDMA prototype should target `read_file_stream` and `put_file_stream`
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only. `walk_dir`, metadata RPCs, locks, admin RPCs, and bucket coordination
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should remain on gRPC unless a later benchmark identifies a specific bottleneck.
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## DPU, DOCA, DPDK, SPDK, and SmartNIC Notes
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These technologies should not drive the first abstraction:
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- DPU/BlueField/DOCA may become relevant for TLS, checksum, compression, or
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storage/network offload, but they are vendor- and deployment-specific.
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- DPDK is a poor first fit because RustFS is currently an HTTP/S3 object store
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and does not have a custom packet data plane.
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- SPDK may be relevant only if RustFS adds a raw block or NVMe-oriented local
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storage backend. The current disk model is filesystem-based.
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- SmartNIC offload should be discussed only after the data-plane boundary and
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baseline metrics show where CPU is spent.
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## Suggested PR Sequence
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1. Add this RFC and the current-path classification.
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2. Add route-level internode metrics for `/rustfs/rpc/read_file_stream`,
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`/rustfs/rpc/put_file_stream`, `/rustfs/rpc/walk_dir`, and gRPC disk byte
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calls.
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3. Add an internode transport benchmark harness that can run against a local
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multi-node cluster and produce repeatable artifacts.
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4. Introduce an `InternodeDataTransport` wrapper with a TCP/HTTP backend that
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preserves current behavior.
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5. Move `RemoteDisk` stream methods to the transport wrapper without changing
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default behavior.
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6. Add an experimental feature-gated RDMA/RoCE backend only after the baseline
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proves that internode byte transfer is a limiting factor.
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## Open Questions
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- Which production workload is the primary target: large-object throughput,
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small-object tail latency, healing throughput, or rebalance throughput?
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- Should `ReadAll` and `WriteAll` stay as gRPC unary calls, or should large
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payloads be redirected to the data transport?
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- Is `walk_dir` a metadata control stream or a secondary data-plane stream for
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scanner/healing workloads?
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- What is the acceptable fallback policy for an explicitly configured
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experimental backend?
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- How should an RDMA backend preserve authentication and encryption guarantees
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currently provided by signed HTTP requests and TLS-capable gRPC/HTTP clients?
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- What hardware matrix is required before accepting a non-default RDMA backend?
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## Immediate Next Steps
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- Create a focused issue from this RFC.
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- Add route-level internode metrics before changing transport code.
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- Extend existing benchmark scripts or add a new script to isolate remote disk
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stream read/write throughput.
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- Keep the first code PR behavior-preserving and TCP-only.
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