10 Resources
Golang mapreduce Libraries
Lazy iterator implementation for Golang
Goterator Iterator implementation for Golang to provide map and reduce functionalities. Package import ( "github.com/yaa110/goterator" "github
Labs, solutions and related materials from the MIT 6.824 Distributed Systems course.
MIT 6.824 Distributed Systems Labs, solutions and related materials from the MIT 6.824 Distributed Systems course. Overview From the official website:
An implementation of the consensus algorithm Map Reduce.
An implementation of the consensus algorithm Map Reduce. Framework written by Professor Matthew. Implemented by Makara Teu.
Mapreduce - A in-process MapReduce tool to help you to optimize service response time.
mapreduce English | 简体中文 Why we have this repo? mapreduce is part of go-zero, but a few people asked if mapreduce can be used separately. But I recomm
The MapReduce pattern with Goroutines and channels to count n-grams in a directory of text files
MapReduce Ngram This Golang program implements the MapReduce pattern with Goroutines and channels to count n-grams in a directory of text files. Usage
An easy-to-use Map Reduce Go parallel-computing framework inspired by 2021 6.824 lab1. It supports multiple workers on a single machine right now.
MapReduce This is an easy-to-use Map Reduce Go framework inspired by 2021 6.824 lab1. Feature Multiple workers on single machine right now. Easy to pa
A serverless cluster computing system for the Go programming language
Bigslice Bigslice is a serverless cluster data processing system for Go. Bigslice exposes composable API that lets the user express data processing ta
A serverless cluster computing system for the Go programming language
Bigslice Bigslice is a serverless cluster data processing system for Go. Bigslice exposes composable API that lets the user express data processing ta
Run your MapReduce workloads as a single binary on a single machine with multiple CPUs and high memory. Pricing of a lot of small machines vs heavy machines is the same on most cloud providers.
gomap Run your MapReduce workloads as a single binary on a single machine with multiple CPUs and high memory. Pricing of a lot of small machines vs he