https://github.com/DanielMcSheehy/parallel-pipeline

Blazing fast parallel text data pipeline for large files
https://github.com/DanielMcSheehy/parallel-pipeline

Last synced: 11 days ago
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Blazing fast parallel text data pipeline for large files

• Host: GitHub
• URL: https://github.com/DanielMcSheehy/parallel-pipeline
• Owner: DanielMcSheehy
• Created: 2021-10-06T20:31:16.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-10-13T13:38:40.000Z (about 3 years ago)
• Last Synced: 2024-08-02T05:12:23.031Z (3 months ago)
• Language: Go
• Homepage:
• Size: 64.5 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-blazingly-fast - parallel-pipeline - Blazing fast parallel text data pipeline for large files (Go)

README

        
# ![example workflow](https://github.com/DanielMcSheehy/parallel-pipeline/actions/workflows/tests.yaml/badge.svg) Parallel Pipeline 

A blazing fast library that allows data pipelines to work in parallel. This can traverse and transform extremely large text files (100GB or more) in seconds. 

## Usage

```go

import "github.com/DanielMcSheehy/parallel-pipeline/pipeline"

```

Add some text transformations

```go

// example text transformation

func RemoveAllSmileyFaces() *pipeline.Transformer {

	return &pipeline.Transformer{

		Transform: func(input string) string {

			return strings.ReplaceAll(input, "😀", "")

		},

	}

}

```

start the data pipeline

```go

func main() {

    mainPipeline := pipeline.New(workerCount)

    mainPipeline.RegisterTransformers(

        RemoveAllSmileyFaces(),

    )

    mainPipeline.Execute(directory, ouputDirectory)

}

```