The tests below are performed on the Apple M4 Max
Performs 4 scenarios:
- 1 process spawns 'pong'-process locally and sends 3M messages
- N processes spawn 'pong'-process locally and send 1M messages (N = number of CPU)
- 1 process spawns 'pong'-process on a remote node and sends 3M messages
- N processes spawn 'pong'-process on a remote node and send 1M messages (N = number of CPU)
Performs the following scenario:
- Takes node information that includes memory usage value.
- Starts 1M processes
- Takes node information 3 times with 1s intervals to make sure the GC has freed unused memory
Demonstrates event delivery performace by publishing 1 event from 1 producer to 1,000,000 subscribers distributed across 10 nodes.
Key optimization: Instead of 1,000,000 network messages (one per subscriber), only 10 network messages are sent (one per consumer node). Each node locally distributes to its 100K subscribers.
Results:
- Total subscribers: 1,000,000
- Producer nodes: 1
- Consumer nodes: 10
- Time to deliver all: 342ms
- Network messages sent: 10
- Delivery rate: 2.9M msg/sec
Run with go run .
Hardware: Apple M4 Max
These benchmarks compare EDF, EDF (+cache), Protobuf, and Gob serialization performance across common data types.
- EDF and Gob rely on runtime reflection, which dynamically inspects and serializes data structures at runtime
- Protobuf uses code generation, producing static type-safe marshalling and unmarshalling logic.
| Data Type | EDF | EDF (+cache) | Protobuf | Gob | Winner | EDF Advantage |
|---|---|---|---|---|---|---|
| String Encode | 29.96ns, 53B, 0a | 23.45ns, 0B, 0a | 44.37ns, 32B, 1a | 76.42ns, 16B, 1a | EDF+Cache | 47% faster than Protobuf, 69% faster than Gob |
| String Decode | 76.63ns, 72B, 4a | 76.62ns, 72B, 4a | 67.45ns, 96B, 2a | 429.5ns, 1000B, 19a | Protobuf | EDF 14% slower, but 6x faster than Gob |
| Map Encode | 310.5ns, 325B, 10a | 224.7ns, 204B, 5a | 339.9ns, 112B, 5a | 234.0ns, 32B, 2a | EDF+Cache | 34% faster than Protobuf, competitive with Gob |
| Map Decode | 557.4ns, 955B, 25a | 468.8ns, 846B, 22a | 353.3ns, 528B, 13a | 6733ns, 8256B, 185a | Protobuf | EDF+Cache 33% slower, but 14x faster than Gob |
| Complex Struct Encode | 277.8ns, 307B, 6a | 269.8ns, 306B, 6a | 474.3ns, 224B, 9a | 357.1ns, 88B, 5a | EDF+Cache | 43% faster than Protobuf, 24% faster than Gob |
| Complex Struct Decode | 740.1ns, 1364B, 41a | 700.8ns, 1368B, 41a | 597.2ns, 824B, 25a | 9335ns, 10872B, 255a | Protobuf | EDF+Cache 17% slower, but 13x faster than Gob |
| Nested Struct Encode | 739.9ns, 732B, 17a | 796.2ns, 846B, 17a | 1557ns, 640B, 27a | 901.4ns, 256B, 15a | EDF | 52% faster than Protobuf, 18% faster than Gob |
| Nested Struct Decode | 2137ns, 4594B, 107a | 2291ns, 5438B, 120a | 1684ns, 2544B, 71a | 12729ns, 14712B, 342a | Protobuf | EDF 27% slower, but 6x faster than Gob |
Format: time ns/op, memory B/op, allocations/op
Run with go test -bench=. -benchmem
Hardware: Apple M4 Max