Discord Migrated Trillions of Messages to ScyllaDB

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ScyllaDB is a high-performance NoSQL database, reimagined from Apache Cassandra but built in C++ for better efficiency. Discord migrated trillions of messages from Cassandra to ScyllaDB, achieving significant improvements in latency, scalability, and operational efficiency.

Key Architecture

  • Shard-per-Core: Each CPU core has a dedicated data partition and memory.
  • Seastar Framework: A C++ asynchronous framework with zero-copy networking.
  • Storage: Uses in-memory memtables and immutable SSTables on disk.
  • Consensus: Optimized Paxos for consistency across replicas.
  • Communication: Gossip protocol for cluster coordination.

Discord’s Challenge

  • 177 Cassandra nodes storing trillions of messages.
  • Hot partitions causing 40-125ms p99 read latency.
  • Unpredictable performance during traffic spikes.

Migration Results

  • Nodes: Reduced from 177 to 72 (60% reduction).
  • Read Latency: Dropped from 40-125ms to 15ms p99.
  • Write Latency: Reduced from 5-70ms to 5ms p99.
  • Storage: 9TB per node (2x capacity).
  • Migration Time: Completed in 9 days using a custom Rust tool.

Key Benefits

  • No garbage collection issues (unlike Java-based Cassandra).
  • Linear scalability with core count.
  • Full CQL compatibility for easy migration.
  • Eliminated operational firefights.

You Should Know:

Commands & Tools for Database Migration & Optimization

Linux Performance Monitoring

 Check CPU and memory usage 
top 
htop 
vmstat 1

Disk I/O monitoring 
iostat -x 1

Network traffic 
iftop -n

Check latency between nodes 
ping <node-ip> 
mtr <node-ip> 

ScyllaDB & Cassandra Commands

 Start ScyllaDB 
sudo systemctl start scylla-server

Check cluster status 
nodetool status

CQL shell for ScyllaDB/Cassandra 
cqlsh

Flush memtables to SSTables 
nodetool flush

Repair nodes 
nodetool repair 

Benchmarking Tools

 Stress testing with cassandra-stress 
cassandra-stress write n=1000000 -rate threads=50

ScyllaDB-specific benchmarks 
scylla-bench -workload=uniform -mode=write -replication-factor=3 -nodes=<ip-list> 

Rust Migration Tool (Example)

use scylla::{Session, SessionBuilder}; 
use std::error::Error;

[tokio::main] 
async fn main() -> Result<(), Box<dyn Error>> { 
let session: Session = SessionBuilder::new() 
.known_node("127.0.0.1:9042") 
.build() 
.await?;

session 
.query("INSERT INTO keyspace.table (id, data) VALUES (?, ?)", (1, "migrated_data")) 
.await?;

Ok(()) 
} 

What Undercode Say:

Discord’s migration to ScyllaDB demonstrates the power of optimized database architectures in handling large-scale data efficiently. By leveraging C++ and a shard-per-core model, ScyllaDB eliminates Java’s garbage collection overhead, ensuring predictable performance.

For engineers managing high-traffic databases, consider:

  • Sharding strategies to avoid hot partitions.
  • Asynchronous frameworks (like Seastar) for high throughput.
  • Benchmarking before migration to avoid downtime.

Expected Output:

  • Nodes reduced by 60%
  • Read latency improved by 4x
  • Consistent write performance under load
  • Successful migration in 9 days

Prediction:

As more companies face scalability challenges with traditional NoSQL databases, migrations to optimized alternatives like ScyllaDB will increase, especially for real-time messaging and IoT applications. Expect more Rust-based migration tools to emerge.

IT/Security Reporter URL:

Reported By: Curiouslearner Discord – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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