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Sparrow: C++20 Idiomatic APIs for the Apache Arrow Columnar Format

sparrow C++20 idiomatic APIs for the Apache Arrow Columnar Format Introduction sparrow is an implementation of the Apache Arrow Columnar format in C++. It provides array structures with idiomatic APIs and convenient conversions from and to the C interface. sparrow requires a modern C++ compiler supporting C++20. Installation Package managers We provide a package for the mamba (or conda) package manager: mamba install -c conda-forge sparrow Install from sources sparrow has a few depende

Why was Apache Kafka created?

Reading Time: 13 minutes Intro - the Integration Problem We talk all the time about what Kafka is, but not so much about why it is the way it is. What better way than to dive into the original motivation for creating Kafka? Circa 2012, LinkedIn’s original intention with Kafka was to solve a data integration problem. LinkedIn used site activity data (e.g. someone liked this, someone posted this) for many things - tracking fraud/abuse, matching jobs to users, training ML models, basic feature

Show HN: KubeForge – A GUI for Kubernetes YAMLs

To get started just run: docker run -p 3000:3000 get.kubefor.ge/latest KubeForge is a visual-first toolkit that simplifies the process of building, validating, and managing Kubernetes deployment configurations. Whether you're new to Kubernetes or maintaining large-scale systems, KubeForge streamlines the creation of valid deployment YAMLs using an intuitive interface backed by live schema references. ✨ Features 📦 Drag-and-drop interface for Kubernetes objects 📘 Smart schema awareness powere

Nullable but not null

When working on backend applications, especially those with evolving database schemas, it’s common to see a recurring pattern: A new field is added to a model. To avoid locking the table during the migration, the field is added as nullable. The application logic is updated to start filling in this field. A backfill job runs to populate the existing records. The field is left as nullable. People often forget the final step which is updating the schema to make the field non-nullable once the dat

nullable but not null

When working on backend applications, especially those with evolving database schemas, it’s common to see a recurring pattern: A new field is added to a model. To avoid locking the table during the migration, the field is added as nullable. The application logic is updated to start filling in this field. A backfill job runs to populate the existing records. The field is left as nullable. People often forget the final step which is updating the schema to make the field non-nullable once the dat

Row Polymorphic Programming

Sometimes, especially when dealing with business logic, we have to deal with data that comes in from the real world, or elsewhere, naturally very messily typed, leading to nasty type signatures and messes of macros or code generation to build data structures from a schema. Row polymorphism can help us by abstracting over the fields contained in a record type in the type signature, letting us define records based on data, concatenate records together, and define functions that are generic across

Topics: hs row schema table type

Development of a transputer ISA board

Development of a transputer ISA board I developed software for transputers in the years 1993-1996. A few months ago, I wrote some articles about my experiences, and most recently I developed a transputer emulator in Javascript After my transputer emulator in Javascript was working, I got curious about running my software on a PC computer. I have several PC motherboards with ISA connectors, and I decided to build a card compatible with the Inmos B004 (a single board to test transputer processor

Run structured extraction on documents/images locally with Ollama and Pydantic

Welcome to VLM Run Hub, a comprehensive repository of pre-defined Pydantic schemas for extracting structured data from unstructured visual domains such as images, videos, and documents. Designed for Vision Language Models (VLMs) and optimized for real-world use cases, VLM Run Hub simplifies the integration of visual ETL into your workflows. Image JSON { "issuing_state" : " MT " , "license_number" : " 0812319684104 " , "first_name" : " Brenda " , "middle_name" : " Lynn " , "last_name" : " Sample