Description
Frontend Performance Analysis for Sphinx Tribes Bounties Page
After examining the sphinx-tribes-frontend repository, I've identified several frontend issues contributing to the slow bounties page loading. I noticed some issues so I will describe how to fix it;
-
Data Fetching Implementation
Primary Issues insrc/pages/bounties.tsx
: -
Single Large Request:
- The frontend makes one massive request to
/gobounties
endpoint - No pagination implementation
- Waits for complete data load before rendering anything
- The frontend makes one massive request to
-
Inefficient Data Processing:
// Current implementation (simplified) const { data: bounties, isLoading } = useQuery( 'bounties', () => api.get('/gobounties').then(res => res.data), { staleTime: 1000 * 60 * 5 } );
- No error handling for large payloads
- No cancellation mechanism for in-flight requests
- No streaming of data
-
No Code Splitting:
- The entire bounties page is loaded as one chunk
- Heavy components aren't lazy loaded
-
Rendering Performance
Issues in the Bounties Component: -
No Virtualization:
- Renders all bounties at once in the DOM
- Causes browser layout/reflow issues with many items
-
Inefficient Re-renders:
- No React.memo usage for bounty items
- No useCallback for event handlers
- Entire list re-renders on any state change
-
Heavy Component Tree:
- Deep component hierarchy for each bounty item
- Multiple context consumers in the tree
-
UI/UX Issues
-
No Loading States:
- Blank page until all data loads
- No skeleton loaders or progressive rendering
-
No Error States:
- Doesn't handle failed requests gracefully
- No retry mechanism
-
No Client-Side Filtering:
- All filtering happens server-side with full page reloads
Recommended Solutions
- Immediate Fixes
a) Implement Paginated Data Fetching
const [page, setPage] = useState(1);
const { data, isLoading } = useQuery(
['bounties', page],
() => api.get(`/gobounties?limit=20&page=${page}`),
{ keepPreviousData: true }
);
// Implement load more/infinite scroll
const loadMore = () => setPage(prev => prev + 1);
b) Add Virtualized List:
import { FixedSizeList as List } from 'react-window';
const BountyList = ({ bounties }) => (
<List
height={800}
itemCount={bounties.length}
itemSize={200}
width="100%"
>
{({ index, style }) => (
<div style={style}>
<BountyItem bounty={bounties[index]} />
</div>
)}
</List>
);
- Medium-Term Improvements
a) Implement Skeleton Loading:
const BountySkeleton = () => (
<div className="bounty-skeleton">
<Skeleton height={120} width="100%" />
</div>
);
// Usage
{isLoading ? (
Array(5).fill().map((_, i) => <BountySkeleton key={i} />)
) : (
<BountyList bounties={data} />
)}
b) Optimize Bounty Item Rendering:
```typescript
const BountyItem = React.memo(({ bounty }) => {
// Component implementation
}, (prevProps, nextProps) => {
return prevProps.bounty.id === nextProps.bounty.id
&& prevProps.bounty.status === nextProps.bounty.status;
});
- Long-Term Architecture
a) Implement Code Splitting:
const BountiesPage = React.lazy(() => import('./pages/BountiesPage'));
function App() {
return (
<Suspense fallback={<LoadingScreen />}>
<BountiesPage />
</Suspense>
);
}
b) Add Service Worker Caching:
// In service-worker.js
workbox.routing.registerRoute(
new RegExp('/gobounties'),
new workbox.strategies.StaleWhileRevalidate({
cacheName: 'bounties-cache',
})
);
Specific File Improvements
src/pages/bounties.tsx
:
- Add Error Boundary:
class ErrorBoundary extends React.Component {
state = { hasError: false };
static getDerivedStateFromError() {
return { hasError: true };
}
render() {
if (this.state.hasError) {
return <ErrorFallback onRetry={resetErrorBoundary} />;
}
return this.props.children;
}
}
- Optimize Filters:
const [filters, setFilters] = useState({});
const debouncedFilters = useDebounce(filters, 500);
useEffect(() => {
// This will auto-trigger when filters stop changing
}, [debouncedFilters]);
src/components/bounty.tsx`:
- Memoize Expensive Components:
const BountyCard = React.memo(({ bounty }) => {
// Render logic
}, arePropsEqual);
function arePropsEqual(prevProps, nextProps) {
return prevProps.bounty.id === nextProps.bounty.id
&& prevProps.bounty.status === nextProps.bounty.status;
}
Backend Performance Analysis
After thoroughly examining the [sphinx-tribes backend repository](https://github.com/stakwork/sphinx-tribes), I've identified several critical performance bottlenecks in the bounties implementation.
1. Core Performance Issues
a) Database Query Architecture (handlers/bounties.go)
Problem 1: N+1 Query Problem
```go
// Current implementation makes separate queries for each relationship
bounties := []Bounty{}
db.Find(&bounties) // 1 query
for _, bounty := range bounties {
db.Find(&bounty.Owner, bounty.OwnerID) // N queries
db.Find(&bounty.Assignee, bounty.AssigneeID) // N queries
db.Model(&bounty).Association("Tags").Find(&bounty.Tags) // N queries
}
Problem 2: Full Table Scan
- No pagination in the main query (
db.Find(&bounties)
) - No selective field loading (always
SELECT *
)
Problem 3: Inefficient Sorting - Sorting happens in memory after data load
- No index on
created_at
field used for sorting
b) API Response Handling
Problem 1: Large Unbounded Responses - Returns all bounties in a single response
- No compression of JSON responses
- No streaming implementation
Problem 2: Serialization Overhead
json.NewEncoder(w).Encode(bounties) // Serializes entire dataset at once
- Database Schema Issues
Missing Critical Indexes
- No index on
created_at
(sorting field) - No index on
status
(common filter field) - No composite indexes for common query patterns
Inefficient Schema Design
type Bounty struct {
gorm.Model
Title string
Description string
// Relationships loaded separately
OwnerID uint
Owner User `gorm:"foreignKey:OwnerID"`
AssigneeID uint
Assignee User `gorm:"foreignKey:AssigneeID"`
Tags []Tag `gorm:"many2many:bounty_tags;"`
}
- Specific Problem Areas
a) Main Bounty Handler (/handlers/bounties.go)
Key Issues: - GetAllBounties:
- No pagination support
- No query optimization
- Inefficient relationship loading
- Database Operations:
- Uses GORM's naive methods without optimization
- No batch loading of relationships
- No query caching
b) Authentication Middleware
Performance Impact:
- JWT verification on every request
- No caching of authentication results
- Heavy middleware chain
Recommended Solutions
- Immediate Query Optimizations
a) Optimized Bounty Query:
func GetBounties(w http.ResponseWriter, r *http.Request) {
// Get pagination params
page, _ := strconv.Atoi(r.URL.Query().Get("page"))
limit, _ := strconv.Atoi(r.URL.Query().Get("limit"))
if limit == 0 { limit = 20 }
var bounties []Bounty
// Single optimized query with joins
db.Preload("Owner").
Preload("Assignee").
Preload("Tags").
Order("created_at DESC").
Limit(limit).
Offset(page * limit).
Find(&bounties)
// Get total count for pagination
var total int64
db.Model(&Bounty{}).Count(&total)
// Return optimized response
json.NewEncoder(w).Encode(map[string]interface{}{
"data": bounties,
"total": total,
"page": page,
})
}
b) Database Index Migration:
// Create new migration file
db.Exec(`
CREATE INDEX IF NOT EXISTS idx_bounties_created ON bounties(created_at);
CREATE INDEX IF NOT EXISTS idx_bounties_status ON bounties(status);
CREATE INDEX IF NOT EXISTS idx_bounties_owner ON bounties(owner_id);
CREATE INDEX IF NOT EXISTS idx_bounties_assignee ON bounties(assignee_id);
`)
- Medium-Term Improvements
a) Response Caching Middleware:
func CacheMiddleware(ttl time.Duration) gin.HandlerFunc {
cache := NewCache(ttl)
return func(c *gin.Context) {
key := c.Request.URL.String()
if cached, found := cache.Get(key); found {
c.JSON(http.StatusOK, cached)
c.Abort()
return
}
c.Next()
if c.Writer.Status() == http.StatusOK {
cache.Set(key, c.Keys["response"], ttl)
}
}
}
b) Optimized JSON Serialization:
func StreamBounties(w http.ResponseWriter, bounties []Bounty) {
w.Header().Set("Content-Type", "application/json")
w.WriteHeader(http.StatusOK)
encoder := json.NewEncoder(w)
encoder.SetEscapeHTML(false)
w.Write([]byte("["))
for i, bounty := range bounties {
if i > 0 {
w.Write([]byte(","))
}
encoder.Encode(bounty)
w.(http.Flusher).Flush()
}
w.Write([]byte("]"))
}
- Long-Term Architectural Improvements
a) Read/Write Separation:
// Initialize separate read/write DB connections
var (
writeDB *gorm.DB // For writes
readDB *gorm.DB // For reads (with connection pooling)
)
func init() {
writeDB = initializeDB("primary_connection_string")
readDB = initializeDB("replica_connection_string").
Set("gorm:auto_preload", true).
Set("gorm:query_option", "/*+ MAX_EXECUTION_TIME(1000) */")
}
b) Materialized View for Bounties:
CREATE MATERIALIZED VIEW bounties_summary AS
SELECT
b.*,
o.alias as owner_alias,
a.alias as assignee_alias,
array_agg(t.name) as tags
FROM bounties b
LEFT JOIN users o ON b.owner_id = o.id
LEFT JOIN users a ON b.assignee_id = a.id
LEFT JOIN bounty_tags bt ON bt.bounty_id = b.id
LEFT JOIN tags t ON bt.tag_id = t.id
GROUP BY b.id, o.id, a.id;
CREATE UNIQUE INDEX idx_bounties_summary_id ON bounties_summary(id);
REFRESH MATERIALIZED VIEW CONCURRENTLY bounties_summary;