# Hammerwork Roadmap
This roadmap outlines planned features for Hammerwork, prioritized by impact level and implementation complexity. Features are organized into phases based on their value proposition to users and estimated development effort.
## Phase 1: High Impact, Low-Medium Complexity
*Essential features that provide significant value with reasonable implementation effort*
### 🔄 Job Result Storage & Retrieval
Essential for jobs that produce results needed by other systems or users.
```rust
// Store job results for later retrieval
let job = Job::new("generate_report".to_string(), params)
.with_result_storage(ResultStorage::Database)
.with_result_ttl(Duration::from_days(30));
// Retrieve job results
let result = queue.get_job_result(&job_id).await?;
```
### 📋 Advanced Scheduling Patterns
Improves retry logic and reduces system load during failures.
```rust
// Exponential backoff scheduling
let job = Job::new("retry_job".to_string(), payload)
.with_exponential_backoff(Duration::from_secs(1), 2.0, Duration::from_minutes(10));
// Custom scheduling strategies
let job = Job::new("scheduled_job".to_string(), payload)
.with_schedule_strategy(ScheduleStrategy::Fibonacci) // 1, 1, 2, 3, 5, 8... seconds
.with_schedule_strategy(ScheduleStrategy::Linear(Duration::from_secs(30))); // 30, 60, 90... seconds
```
## Phase 2: High Impact, Medium-High Complexity
*Features that provide significant value but require more substantial implementation effort*
### 🔗 Job Dependencies & Workflows
Game-changing feature for complex data processing pipelines and business workflows.
```rust
// Sequential job chains
let job1 = Job::new("process_data".to_string(), data1);
let job2 = Job::new("transform_data".to_string(), data2)
.depends_on(&job1.id);
let job3 = Job::new("export_data".to_string(), data3)
.depends_on(&job2.id);
// Parallel job groups with barriers
let job_group = JobGroup::new("data_pipeline")
.add_parallel_jobs(vec![job_a, job_b, job_c])
.then(final_job); // Runs after all parallel jobs complete
```
### 🔍 Job Tracing & Correlation
Essential for debugging and monitoring in distributed systems.
```rust
// Distributed tracing support
let job = Job::new("process_order".to_string(), order_data)
.with_trace_id("trace-123")
.with_correlation_id("order-456")
.with_span_context(span_context);
// Job lifecycle events
metrics::histogram!("job.duration", duration, "queue" => job.queue_name);
});
```
### 📈 Worker Auto-scaling
Significant operational improvement for handling variable workloads.
```rust
// Dynamic worker scaling based on queue depth
let auto_scaler = AutoScaler::new()
.min_workers(2)
.max_workers(20)
.scale_up_threshold(100) // Scale up when queue > 100 jobs
.scale_down_threshold(10) // Scale down when queue < 10 jobs
.scale_up_cooldown(Duration::from_minutes(2))
.scale_down_cooldown(Duration::from_minutes(5));
let worker_pool = WorkerPool::new()
.with_auto_scaler(auto_scaler);
```
### 🌐 Admin Dashboard & CLI Tools
Critical for operational management and developer productivity.
```rust
// Web-based admin interface
let admin_server = AdminServer::new()
.with_queue_monitoring()
.with_job_management()
.with_worker_controls()
.bind("127.0.0.1:8080");
// CLI tools for operations
// hammerwork-cli queue status
// hammerwork-cli job retry <job-id>
// hammerwork-cli worker scale <queue> <count>
```
## Phase 3: Medium Impact, Variable Complexity
*Valuable features for specific use cases or operational efficiency*
### 🗄️ Job Archiving & Retention
Important for compliance and database performance in high-volume systems.
```rust
// Automatic job archiving
let archival_policy = ArchivalPolicy::new()
.archive_completed_after(Duration::from_days(7))
.archive_failed_after(Duration::from_days(30))
.purge_archived_after(Duration::from_days(365))
.compress_archived_payloads(true);
queue.set_archival_policy(archival_policy).await?;
```
### 🔧 Job Testing & Simulation
Valuable for development and testing workflows.
```rust
// Test job handlers without database
let test_queue = TestQueue::new()
.with_mock_dependencies()
.with_time_control(); // Fast-forward time for testing
// Job simulation and load testing
let load_test = LoadTest::new()
.with_job_template(job_template)
.with_rate(100) // 100 jobs/second
.with_duration(Duration::from_minutes(10))
.run().await?;
```
### ⚡ Dynamic Job Spawning
Useful for fan-out processing patterns and dynamic workloads.
```rust
// Jobs that create other jobs
let parent_job = Job::new("process_files".to_string(), file_list)
.with_spawn_handler(|job| {
// Spawn child jobs for each file
job.payload.files.iter().map(|file| {
Job::new("process_file".to_string(), json!({"file": file}))
}).collect()
});
```
### 🔌 Webhook & Event Streaming
Important for integration with external systems and real-time notifications.
```rust
// Real-time job events via webhooks
let webhook_config = WebhookConfig::new()
.url("https://api.example.com/job-events")
.events(vec![JobEvent::Completed, JobEvent::Failed])
.with_retry_policy(RetryPolicy::exponential());
// Event streaming to external systems
let event_stream = EventStream::new()
.to_kafka("job-events")
.to_kinesis("job-stream")
.with_filtering(|event| event.priority >= JobPriority::High);
```
## Phase 4: Specialized Features
*Features for specific enterprise or compliance requirements*
### 🔐 Job Encryption & PII Protection
Critical for organizations with strict data protection requirements.
```rust
// Encrypt sensitive job payloads
let job = Job::new("process_payment".to_string(), payment_data)
.with_encryption(EncryptionConfig::AES256)
.with_pii_fields(vec!["credit_card", "ssn"])
.with_retention_policy(RetentionPolicy::DeleteAfter(Duration::from_days(7)));
```
### 🛡️ Access Control & Auditing
Required for enterprise environments with compliance requirements.
```rust
// Role-based access control
let worker = Worker::new(queue, "sensitive_queue".to_string(), handler)
.with_required_permissions(vec!["process_payments", "read_user_data"])
.with_audit_logging(true);
// Audit trail
let audit_log = queue.get_audit_log(&job_id).await?;
```
### 🔗 Message Queue Integration
Valuable for organizations migrating from other queue systems.
```rust
// Integration with external message queues
let bridge = MessageBridge::new()
.from_rabbitmq("amqp://localhost")
.to_hammerwork_queue("external_jobs")
.with_transform(|msg| Job::from_message(msg));
```
## Phase 5: Advanced Scaling Features
*Complex features primarily for large-scale deployments*
### 🚀 Zero-downtime Deployments
Critical for large-scale production systems but complex to implement correctly.
```rust
// Graceful job migration during deployments
let migration = JobMigration::new()
.drain_workers(Duration::from_minutes(5))
.migrate_pending_jobs("old_queue", "new_queue")
.with_rollback_capability();
```
### 🗂️ Queue Partitioning & Sharding
Essential for massive scale but adds significant complexity.
```rust
// Partition jobs across multiple databases
let queue = PartitionedQueue::new()
.add_partition("shard1", postgres_pool1)
.add_partition("shard2", postgres_pool2)
.with_partitioning_strategy(PartitionStrategy::Hash("user_id"));
```
### 🌍 Multi-region Support
Important for global deployments but extremely complex to implement reliably.
```rust
// Cross-region job replication
let geo_config = GeoReplicationConfig::new()
.primary_region("us-east-1")
.replica_regions(vec!["us-west-2", "eu-west-1"])
.with_failover_policy(FailoverPolicy::Automatic);
```
## Implementation Priority
Features are ordered within each phase by priority and should generally be implemented in the following sequence:
**Phase 1 (Foundation)**
1. Job Result Storage & Retrieval
2. Advanced Scheduling Patterns
**Phase 2 (Advanced Features)**
1. Job Dependencies & Workflows
2. Job Tracing & Correlation
3. Worker Auto-scaling
4. Admin Dashboard & CLI Tools
**Phase 3 (Operational Features)**
1. Job Archiving & Retention
2. Job Testing & Simulation
3. Dynamic Job Spawning
4. Webhook & Event Streaming
**Phase 4 (Enterprise Features)**
1. Job Encryption & PII Protection
2. Access Control & Auditing
3. Message Queue Integration
**Phase 5 (Scaling Features)**
1. Zero-downtime Deployments
2. Queue Partitioning & Sharding
3. Multi-region Support
## Contributing
We welcome contributions to any of these roadmap items! Please:
1. Open an issue to discuss the feature before implementation
2. Review the [CONTRIBUTING.md](CONTRIBUTING.md) guidelines
3. Consider starting with Phase 1 features for maximum impact
4. Ensure comprehensive tests and documentation for new features
## Feedback
This roadmap is based on anticipated user needs and common job queue patterns. If you have specific requirements or would like to prioritize certain features, please:
- Open a GitHub issue with the `enhancement` label
- Join our community discussions
- Share your use case and requirements
The roadmap will be updated based on user feedback and changing requirements.