Hey Dev community! 👋 As aspiring and passionate software engineers, we're constantly seeking ways to level up our skills. Today, let's take a quick dive into some key algorithms that hold immense importance, not only for nailing system design interviews but also for building real-world systems.
🔍 Consistent Hashing: Ever wondered how massive databases like Cassandra distribute data across servers? Consistent hashing is the answer. It's a smart approach where keys are mapped onto a ring, and servers are assigned ranges. This algorithm shines in the era of Big Data, ensuring efficient data distribution as servers join or leave.
🌲 Quad Trees for Spatial Indexing: When it comes to location-based services and mapping apps, quad trees come to the rescue. These trees divide 2D space into quadrants, enabling fast insertion and searches. If you're into spatial data indexing, quad trees are your go-to choice.
⏳ Leaky Bucket Algorithm for Rate Limiting: Imagine a leaky bucket that controls the rate at which requests are handled. It's a simple yet effective way to ensure fair usage of resources. This algorithm helps keep systems responsive and prevents overloads during spikes in traffic.
🌐 Tries for String-Based Searches: Tries are a powerful tool for string-related operations. They're perfect for autocompletion and lightning-fast searches. However, be mindful of memory usage due to multiple child pointers in nodes.
🌼 Bloom Filters: Dealing with sets and membership checks? Bloom filters are your allies. They offer a probabilistic approach to quickly determine set membership, making them excellent for caching and filtering out noise in analytics.
🤝 Consensus Algorithms (Raft and Paxos): Distributed systems are complex, and reaching consensus is a challenge. Enter Raft and Paxos. Raft, known for its simplicity, elects leaders to manage state replication and prevent data inconsistencies. It's used in various systems like Kafka for replication and failover.
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