add dgraph backend to benchmark suite with safe type assertions for multi-backend support
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@@ -2,7 +2,7 @@
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A comprehensive benchmarking system for testing and comparing the performance of multiple Nostr relay implementations, including:
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- **next.orly.dev** (this repository) - BadgerDB-based relay
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- **next.orly.dev** (this repository) - Badger and DGraph backend variants
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- **Khatru** - SQLite and Badger variants
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- **Relayer** - Basic example implementation
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- **Strfry** - C++ LMDB-based relay
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@@ -91,13 +91,16 @@ ls reports/run_YYYYMMDD_HHMMSS/
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### Docker Compose Services
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| Service | Port | Description |
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| ---------------- | ---- | ----------------------------------------- |
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| next-orly | 8001 | This repository's BadgerDB relay |
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| khatru-sqlite | 8002 | Khatru with SQLite backend |
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| khatru-badger | 8003 | Khatru with Badger backend |
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| relayer-basic | 8004 | Basic relayer example |
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| strfry | 8005 | Strfry C++ LMDB relay |
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| Service | Port | Description |
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| ------------------ | ---- | ----------------------------------------- |
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| next-orly-badger | 8001 | This repository's Badger relay |
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| next-orly-dgraph | 8007 | This repository's DGraph relay |
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| dgraph-zero | 5080 | DGraph cluster coordinator |
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| dgraph-alpha | 9080 | DGraph data node |
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| khatru-sqlite | 8002 | Khatru with SQLite backend |
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| khatru-badger | 8003 | Khatru with Badger backend |
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| relayer-basic | 8004 | Basic relayer example |
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| strfry | 8005 | Strfry C++ LMDB relay |
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| nostr-rs-relay | 8006 | Rust SQLite relay |
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| benchmark-runner | - | Orchestrates tests and aggregates results |
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@@ -173,6 +176,39 @@ go build -o benchmark main.go
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-duration=30s
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```
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## Database Backend Comparison
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The benchmark suite includes **next.orly.dev** with two different database backends to compare architectural approaches:
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### Badger Backend (next-orly-badger)
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- **Type**: Embedded key-value store
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- **Architecture**: Single-process, no network overhead
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- **Best for**: Personal relays, single-instance deployments
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- **Characteristics**:
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- Lower latency for single-instance operations
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- No network round-trips
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- Simpler deployment
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- Limited to single-node scaling
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### DGraph Backend (next-orly-dgraph)
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- **Type**: Distributed graph database
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- **Architecture**: Client-server with dgraph-zero (coordinator) and dgraph-alpha (data node)
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- **Best for**: Distributed deployments, horizontal scaling
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- **Characteristics**:
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- Network overhead from gRPC communication
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- Supports multi-node clustering
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- Built-in replication and sharding
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- More complex deployment
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### Comparing the Backends
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The benchmark results will show:
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- **Latency differences**: Embedded vs. distributed overhead
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- **Throughput trade-offs**: Single-process optimization vs. distributed scalability
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- **Resource usage**: Memory and CPU patterns for different architectures
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This comparison helps determine which backend is appropriate for different deployment scenarios.
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## Benchmark Results Interpretation
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### Peak Throughput Test
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