极客David
3/14/2025
Hey devs! 👋
I'm seriously pulling my hair out over something that's probably staring me right in the face! 😩 I've got a Laravel 11 setup where I'm working with Redis 7 for streams, and I'm using a custom worker to handle upserting data into a MySQL 8 database. It's all about this model, StatisticAggregate, which is doing a ton of data aggregation as the day goes on.
Here's the thing—during peak times, this Redis stream fills up faster than I can process the data. My worker's doing its best, processing chunks of 1,000 items every 20-30 seconds, so about 2,000 per minute. But I'm getting over 5,000 new entries per minute when everyone's hammering the system. So yeah, math doesn't add up, and my backlog looks like the Monday morning email pileup. 📈💥
To clarify, I'm pretty sure this isn't a database issue. The backlog clears up overnight when traffic dies down, which tells me it's not MySQL choking on the data. So... what gives? 🤔
Here's a snippet of what my worker looks like:
public function handle(): int { // This is where the magic happens... or not while (true) { if ($this->isRestartNeeded()) { return self::SUCCESS; } // Trying to digest the entries StatisticAggregateStream::digest(); // Garbage collection because why not? $this->collectGarbage(); // Taking a quick nap between rounds Sleep::for(1)->second(); } }
And in the digest method, I'm pulling entries like this:
public static function digest(): int { $total = 0; while (true) { $entries = collect(Redis::connection('stream')->xrange(self::ingestKey(), '-', '+', self::$chunk)); if ($entries->isEmpty()) { return $total; } // Store them, trying hard to be efficient! self::store($entries->map(fn($payload) => unserialize($payload['data']))); // Removing processed entries Redis::connection('stream')->xdel(self::ingestKey(), $entries->keys()->toArray()); if ($entries->count() < self::$chunk) { return $total + $entries->count(); } $total += $entries->count(); } }
I've tried tweaking the chunk size, adding more worker processes, and even sprinkling in some garbage collection voodoo—but it's like the stream is a black hole for my data. 😵
Any insights or pointers would be amazing. I really need a breakthrough here before I start dreaming in Redis streams. 😂
PS: If anyone's had similar issues with Redis stream handling in Laravel, especially with upserting, I'd love to hear your war stories (and solutions)! Thanks, guys! 🙏
全栈Kevin
3/14/2025
Hey there! 👋 First off, I'm totally with you on this one! Dealing with Redis streams can feel like an endless cycle sometimes—kinda like when my inbox becomes a never-ending pit of unread emails 😂. I've been down that road, trying to squeeze every drop of performance from Laravel and Redis just like you are now.
From what you're describing, it looks like your Redis worker is a bit like a single worker ant trying to handle a whole picnic worth of crumbs—just overwhelmed!
Here's a few things I've learned from wrestling with similar setups:
Increase Worker Parallelism: If you haven't already, try scaling horizontally by adding more worker instances. This can help process those entries faster. It's like having a team instead of a solo act—divvying up the workload does wonders!
php artisan queue:work redis --queue=your-queue-name --daemon --sleep=1 --tries=3
Spin up more of these processes, and your Redis stream will thank you. 🎉
Batch Processing: Here’s a little tweak you might try. Instead of grabbing one chunk at a time, consider batching your Redis entries over multiple chunks before processing them. It’s like doing grocery shopping once a week instead of every day!
Update your digest method to accumulate entries into a big batch:
public static function digest(): int { $total = 0; $batch = collect(); while (true) { $entries = collect(Redis::connection('stream')->xrange(self::ingestKey(), '-', '+', self::$chunk)); if ($entries->isEmpty()) { // Process the batch if it's not empty if ($batch->isNotEmpty()) { self::store($batch->map(fn($payload) => unserialize($payload['data']))); Redis::connection('stream')->xdel(self::ingestKey(), $batch->keys()->toArray()); $batch = collect(); // Clear batch after processing } return $total; } $batch = $batch->merge($entries); if ($batch->count() >= self::$batchSize) { self::store($batch->map(fn($payload) => unserialize($payload['data']))); Redis::connection('stream')->xdel(self::ingestKey(), $batch->keys()->toArray()); $total += $batch->count(); $batch = collect(); // Clear batch after processing } $total += $entries->count(); } }
Optimize Your Upsert Logic: Depending on how your store function is working, make sure it's doing bulk inserts or updates. In MySQL, using INSERT ... ON DUPLICATE KEY UPDATE with a bunch of records at once is often way faster than one at a time.
Profile and Monitor: Use tools like Laravel Telescope or logging to see where bottlenecks are happening. Sometimes it's a sneaky little thing taking more time than expected!
Avoid Common Pitfalls: Don't forget to monitor your Redis memory usage! A bloated Redis instance can slow things down. Also, keep an eye on your garbage collection—overdoing it might not help as much as you'd think.
Lastly, keep your chin up! You're definitely on the right track, and with a few tweaks, I'm sure you'll get that stream flowing smoothly. 🚀 If you need any more help or just want to chat about Redis war stories, feel free to reach out. I'm here to help! 😊