4.4 KiB
KV Gotchas & Troubleshooting
Common Errors
"Stale Read After Write"
Cause: Eventual consistency means writes may not be immediately visible in other regions
Solution: Don't read immediately after write; return confirmation without reading or use the local value you just wrote. Writes visible immediately in same location, ≤60s globally
// ❌ BAD: Read immediately after write
await env.KV.put("key", "value");
const value = await env.KV.get("key"); // May be null in other regions!
// ✅ GOOD: Use the value you just wrote
const newValue = "value";
await env.KV.put("key", newValue);
return new Response(newValue); // Don't re-read
"429 Rate Limit on Concurrent Writes"
Cause: Multiple concurrent writes to same key exceeding 1 write/second limit
Solution: Use sequential writes, unique keys for concurrent operations, or implement retry with exponential backoff
async function putWithRetry(
kv: KVNamespace,
key: string,
value: string,
maxAttempts = 5
): Promise<void> {
let delay = 1000;
for (let i = 0; i < maxAttempts; i++) {
try {
await kv.put(key, value);
return;
} catch (err) {
if (err instanceof Error && err.message.includes("429")) {
if (i === maxAttempts - 1) throw err;
await new Promise(r => setTimeout(r, delay));
delay *= 2; // Exponential backoff
} else {
throw err;
}
}
}
}
"Inefficient Multiple Gets"
Cause: Making multiple individual get() calls instead of bulk operation
Solution: Use bulk get with array of keys: env.USERS.get(["user:1", "user:2", "user:3"]) to reduce to 1 operation
"Null Reference Error"
Cause: Attempting to use value without checking for null when key doesn't exist
Solution: Always handle null returns - KV returns null for missing keys, not undefined
// ❌ BAD: Assumes value exists
const config = await env.KV.get("config", "json");
return config.theme; // TypeError if null!
// ✅ GOOD: Null checks
const config = await env.KV.get("config", "json");
return config?.theme ?? "default";
// ✅ GOOD: Early return
const config = await env.KV.get("config", "json");
if (!config) return new Response("Not found", { status: 404 });
return new Response(config.theme);
"Negative Lookup Caching"
Cause: Keys that don't exist are cached as "not found" for up to 60s
Solution: Creating a key after checking won't be visible until cache expires
// Check → create pattern has race condition
const exists = await env.KV.get("key"); // null, cached as "not found"
if (!exists) {
await env.KV.put("key", "value");
// Next get() may still return null for ~60s due to negative cache
}
// Alternative: Always assume key may not exist, use defaults
const value = await env.KV.get("key") ?? "default-value";
Performance Tips
| Scenario | Recommendation | Why |
|---|---|---|
| Large values (>1MB) | Use stream type |
Avoids buffering entire value in memory |
| Many small keys | Coalesce into one JSON object | Reduces operations, improves cache hit rate |
| High write volume | Spread across different keys | Avoid 1 write/second per-key limit |
| Cold reads | Increase cacheTtl parameter |
Reduces latency for frequently-read data |
| Bulk operations | Use array form of get() | Single operation, better performance |
Cost Examples
Free tier:
- 100K reads/day = 3M/month ✅
- 1K writes/day = 30K/month ✅
- 1GB storage ✅
Example paid workload:
- 10M reads/month = $5.00
- 100K writes/month = $0.50
- 1GB storage = $0.50
- Total: ~$6/month
Limits
| Limit | Value | Notes |
|---|---|---|
| Key size | 512 bytes | Maximum key length |
| Value size | 25 MiB | Maximum value; 413 error if exceeded |
| Metadata size | 1024 bytes | Maximum metadata per key |
| cacheTtl minimum | 60s | Minimum cache TTL |
| Write rate per key | 1 write/second | All plans; 429 error if exceeded |
| Propagation time | ≤60s | Global propagation time |
| Bulk get max | 100 keys | Maximum keys per bulk operation |
| Operations per Worker | 1,000 | Per request (bulk counts as 1) |
| Reads pricing | $0.50 per 10M | Per million reads |
| Writes pricing | $5.00 per 1M | Per million writes |
| Deletes pricing | $5.00 per 1M | Per million deletes |
| Storage pricing | $0.50 per GB-month | Per GB per month |