Trie vs Hash Map: When to Use Which
Every developer reaches for a hash map by default. It’s the Swiss Army knife of data structures—fast, familiar, and available in every language’s standard library. But this default choice becomes a…
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SQL Partitioning: Range, Hash, and List Partitioning
Table partitioning divides a single large table into smaller, more manageable pieces called partitions. Each partition stores a subset of the table’s data based on partition key values, but…
Read more →SQL Indexes: B-Tree, Hash, and Composite Indexes
Indexes are data structures that databases maintain separately from your tables to speed up data retrieval. Think of them like a book’s index—instead of reading every page to find mentions of ‘SQL…
Read more →Rabin-Karp Algorithm: Rolling Hash Pattern Search
String pattern matching is one of those problems that seems trivial until you’re processing gigabytes of log files or scanning DNA sequences with billions of base pairs. The naive approach—slide the…
Read more →Python - id() and hash() Functions
Python developers frequently conflate id() and hash(), assuming they serve similar purposes. They don’t. These functions answer fundamentally different questions about objects, and understanding…
MySQL Partitioning: Range and Hash Strategies
MySQL partitioning divides a single table into multiple physical segments while maintaining a single logical interface. The query optimizer automatically determines which partitions to access based…
Read more →Merkle Tree: Hash Tree for Data Verification
Ralph Merkle invented hash trees in 1979, and they’ve since become one of the most important data structures in distributed systems. The core idea is simple: instead of hashing an entire dataset to…
Read more →Hash Map Load Factor and Rehashing
Hash maps promise O(1) average-case lookups, inserts, and deletes. This promise comes with an asterisk that most developers ignore until their production system starts crawling.
Read more →Hash Map Collision Resolution: Chaining vs Open Addressing
Every hash map implementation faces an uncomfortable mathematical reality: the pigeonhole principle guarantees collisions. If you’re mapping a potentially infinite key space into a finite array of…
Read more →Hash Map: Implementation from Scratch
A hash map is a data structure that stores key-value pairs and provides near-instant lookups, insertions, and deletions. Unlike arrays where you access elements by numeric index, hash maps let you…
Read more →Concurrent Hash Map: Sharded Lock Design
When you wrap a standard hash map with a single mutex, you create a serialization point that destroys concurrent performance. Every read and every write must acquire the same lock, meaning your…
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