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Beating Tail Latency: How Golang Supercharges SwissTables with Extendible Hashing

Extendible hashing is a dynamic hashing technique that allows the hash table to grow and shrink gracefully as data is added or removed, without requiring a full reconstruction of the entire table.
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Database Basics Series: Understanding SQL Isolation Levels
 • Pratik Pandey
6
SwissTables: High Performance HashMaps
 • Pratik Pandey
Database Intermediate Series: SQL Isolation Levels Internals
 • Pratik Pandey
2
Go Concurrency Series: Deep Dive into Go Scheduler(I)
 • Pratik Pandey

Recent posts

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SwissTables: High Performance HashMaps
Understand how SwissTables provide a major performance improvement using its innovative control word metadata and SIMD-powered lookups.
 • 
Pratik Pandey
Fragile Base Class Problem: Composition over Inheritance
Why do we always hear "Composition Over Inheritance"? Let's discover some hidden pitfalls associated with Inheritance and why you should prefer a HAS-A…
 • 
Pratik Pandey
Database Intermediate Series: Change Data Capture(II)
Change Data Capture (CDC) refers to identifying and capturing changes made to data in a database and then delivering these changes in a format that…
 • 
Pratik Pandey
2
Database Intermediate Series: Change Data Capture(I)
Change Data Capture (CDC) refers to identifying and capturing changes made to data in a database and then delivering these changes in a format that…
 • 
Pratik Pandey
2
Database Intermediate Series: SQL Isolation Levels Internals
MVCC plays a crucial role in enabling databases achieve isolation. Let's dive into Isolation using MVCC using practical examples.
 • 
Pratik Pandey
2

Concurrency

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Go Concurrency Series: Concurrency Patterns(II)
Understand how you could ensure that all goroutines stop working even if one of them fails, using Tomb and Context. Before that, understand how you…
 • 
Pratik Pandey
Go Concurrency Series: Concurrency Patterns
Dive into common concurrency patterns adopted in Golang, like the Worker Pool Pattern and the Pipeline Pattern.
 • 
Pratik Pandey
2
Go Concurrency Series: Deep Dive into Go Scheduler(III)
Dive deep into the internals of Go Scheduler and strengthen your understanding by building a layer 7 load balancer.
 • 
Pratik Pandey
Go Concurrency Series: Deep Dive into Go Scheduler(II)
Understand how Go Scheduler optimizes CPU Utilization leveraging Network Poller, Timer Heaps, Work Stealing and Thread Parking/Unparking!
 • 
Pratik Pandey
Go Concurrency Series: Deep Dive into Go Scheduler(I)
The Go runtime is the environment in which the Go code executes. The Go scheduler is a specific part of the Go runtime responsible for managing the…
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Pratik Pandey

Consistency

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Consistency & Consistency Levels(II): Distributed Data Stores
Consistency model is a contract between a (distributed)system and the applications that run on it. This model is a set of guarantees made by the…
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Pratik Pandey
Consistency Models(II): Distributed Data Stores
Session consistency models guarantee consistency constraints for any client/application session. Eventual Consistency weakest form…
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Pratik Pandey
Consistency Model: Distributed Data Stores
A consistency model is a contract between a (distributed)system and the applications that run on it.
 • 
Pratik Pandey
Consistency & Consistency Levels: Distributed Data Stores
Consistency is about keeping the replica nodes in sync with the leader & other replica nodes in a distributed data store.
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Pratik Pandey
Replication Reconciliation: Architecture Pattern
Replication Reconciliation allows you to bring old cluster leaders to the same state as new leaders by reconciling changes from older generations.
 • 
Pratik Pandey
1

System Design

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Fragile Base Class Problem: Composition over Inheritance
Why do we always hear "Composition Over Inheritance"? Let's discover some hidden pitfalls associated with Inheritance and why you should prefer a HAS-A…
 • 
Pratik Pandey
Hexagonal Architecture: Architecture Pattern
Hexagonal Architecture allows separating the core business logic of an application from external concerns such as user interfaces, databases, and…
 • 
Pratik Pandey
Consistent Hashing: Architecture Pattern
Data distribution across a cluster is a tough problem to solve. Since data is stateful, adding or removing servers has an impact on data distribution…
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Pratik Pandey
1
Sharding: Architecture Pattern
Sharding is a technique used to horizontally partition a data-store into smaller, more manageable fragments called shards, which are distributed across…
 • 
Pratik Pandey
3
CQRS Pattern: Architecture Pattern
The Command Query Responsibility Segregation (CQRS) pattern emphasizes the separation of read & write data model
 • 
Pratik Pandey
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