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Hands-On Software Engineering with Golang

You're reading from   Hands-On Software Engineering with Golang Move beyond basic programming to design and build reliable software with clean code

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838554491
Length 640 pages
Edition 1st Edition
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Author (1):
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Achilleas Anagnostopoulos Achilleas Anagnostopoulos
Author Profile Icon Achilleas Anagnostopoulos
Achilleas Anagnostopoulos
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Software Engineering and the Software Development Life Cycle
2. A Bird's-Eye View of Software Engineering FREE CHAPTER 3. Section 2: Best Practices for Maintainable and Testable Go Code
4. Best Practices for Writing Clean and Maintainable Go Code 5. Dependency Management 6. The Art of Testing 7. Section 3: Designing and Building a Multi-Tier System from Scratch
8. The Links 'R'; Us Project 9. Building a Persistence Layer 10. Data-Processing Pipelines 11. Graph-Based Data Processing 12. Communicating with the Outside World 13. Building, Packaging, and Deploying Software 14. Section 4: Scaling Out to Handle a Growing Number of Users
15. Splitting Monoliths into Microservices 16. Building Distributed Graph-Processing Systems 17. Metrics Collection and Visualization 18. Epilogue
19. Assessments 20. Other Books You May Enjoy

Decoupling Links 'R' Us components from the underlying data stores

Both the link-crawler component that we created in Chapter 7, Data-Processing Pipelines, and the PageRank calculator component that we built in Chapter 8, Graph-Based Data Processing, were designed to work with one of the data store implementations from Chapter 6, Building a Persistence Layer.

To this end, when configuring these components, we are expected to provide suitable concrete data store implementations that satisfy the graph.Graph and index.Indexer interfaces. If we were building a monolithic application, we would normally be performing this bit of initialization inside the main package, as follows:

  1. Import the package with the data store drivers we want to use in our application (for example, the CockroachDB backed link-graph and the Elasticsearch backed text indexer).
  2. Create new driver instances...
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