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Bazel Advantages and Working Process | The Ultimate Guide

Navdeep Singh Gill | 30 August 2024

Bazel Advantages and Working Process

Overview of Bazel

Bazel is Google's build tool. It has built-in assistance for developing both client and server software. It also provides an extensible framework that helm in developing its own build rules.It is an open-source build and test tool for compiling large projects with multi-language dependencies, its similar to other tools like Make, Maven, and Gradle. It is the sub-part of Google's build system Blaze.
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What are the advantages of Bazel?

Bazel is fast, reliable, support human-readable languages, and have lots of other benefits too -

  • High-level build language - It uses human-readable language to describe the build properties of someone's project. It operates on the concepts of binaries, libraries, data sets, and scripts.
  • Bazel is fast and builds correctly - It can cache build results and only rebuild what it needs to, which make it fast.
  • Its platform independent - It can run on Linux, macOS, Windows.
  • Bazel scales - It can handle large source files easily. It works with various repositories and user bases in the tens of thousands.
  • Bazel is flexible - Build and test C/C++, Objective-C, Java, Python, and Bourne Shell scripts and a wide variety of other language platforms.

Compare to other tools like Gradle, and it's configuration files are more structured and allow Brazel to understand each action clearly, which result in better reproducibility. It has many built-in commands which make it fast and easy to use, such as command like "mobile-install," which allows for agile and iterative development of Android apps.


How Bazel works?

Whenever we run build or test we perform following the things -

  • Loads - Load the relevant build file respective to target.
  • Analyzes - Examine the inputs and their dependencies, and then perform the specified build rules, and produces an action graph.
  • Executes - Run the build actions until final build outputs are provided. It mainly looks for two essential files BUILD and WORKSPACE.
  • BUILD - Files which tell Bazel how to build various parts of the project which is defined by rules, and these rules are called targets.
  • WORKSPACE - File, and similar to BUILD files, there can only be one WORKSPACE in a package. It keeps track of the external dependencies of the project, and some rule adds each external dependency.

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How to build and Test Projects?

To begin building or testing your projects, someone typically needs to do the following things -
  • Download and setup Bazel
  • Now set up the workspace (which holds your project source files and build output)
  • Write a Build file, and define rules that instruct Bazel how to build your project.
  • Now finally run It from the command line.

What are the best tools of Bazel?

As we said, Bazel is rich in languages supports, platform supports, and have some fantastic tools; some are mentioned below -
  • bazel-watcher - Automatically run commands when source files change.
  • dazel - For running Bazel inside the Docker container.
  • Spotify/bazel-tools - Tools for dealing with substantial Bazel-managed repo.

Java vs Kotlin
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A Comprehensive Approach

So Bazel is an open-source tool, it's one of the advance build tools with lots of advantages over other devices. It's mainly for those projects which are written in multiple languages, have a large shared codebase, which supports multi-platforms. It provides a structured system, having a functional foundation, and not the object-oriented interface like Gradle, which is suitable for large and growing projects. If you need some pretty good pre-build commands along with above features which make you build and test smoothly then go for Bazel.To know more about build process we recommend taking the following steps -

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navdeep-singh-gill

Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

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