bazel-buildfarm | Bazel remote caching and execution service | Performance Testing library

by bazelbuild Java Version: 2.3.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | bazel-buildfarm Summary

bazel-buildfarm is a Java library typically used in Testing, Performance Testing applications. bazel-buildfarm has no vulnerabilities, it has a Permissive License and it has low support. However bazel-buildfarm has 140 bugs and it build file is not available. You can download it from GitHub.

This repository hosts the Bazel remote caching and execution system. Background information on the status of caching and remote execution in bazel can be found in the bazel documentation. File issues here for bugs or feature requests, and ask questions via build team slack in the #buildfarm channel.

Support

Quality

Security

License

Reuse

Support

bazel-buildfarm has a low active ecosystem.

It has 558 star(s) with 171 fork(s). There are 50 watchers for this library.

It had no major release in the last 12 months.

There are 89 open issues and 274 have been closed. On average issues are closed in 95 days. There are 36 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of bazel-buildfarm is 2.3.1

Quality

bazel-buildfarm has 140 bugs (4 blocker, 6 critical, 103 major, 27 minor) and 1969 code smells.

Security

bazel-buildfarm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

bazel-buildfarm code analysis shows 0 unresolved vulnerabilities.

There are 27 security hotspots that need review.

License

bazel-buildfarm is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

bazel-buildfarm releases are available to install and integrate.

bazel-buildfarm has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

bazel-buildfarm saves you 24799 person hours of effort in developing the same functionality from scratch.

It has 48361 lines of code, 3581 functions and 304 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed bazel-buildfarm and discovered the below as its top functions. This is intended to give you an instant insight into bazel-buildfarm implemented functionality, and help decide if they suit your requirements.

The list of available slots
Execute a command .
Reports an operation to the worker .
Uploads an output directory .
Creates a new decorator that wraps the contents of the map .
Attempts to match the given platform .
Searches for missing blobs on the worker thread .
Proxy the indexes to a directory .
Helper method to print an action result .
Fetch all the nodes from the queue .

Get all kandi verified functions for this library.

bazel-buildfarm Key Features

No Key Features are available at this moment for bazel-buildfarm.

bazel-buildfarm Examples and Code Snippets

No Code Snippets are available at this moment for bazel-buildfarm.

Community Discussions

Trending Discussions on bazel-buildfarm

Bazel-buildfarm - specifying concurrency of worker

Building TensorFlow with bazel-buildfarm

QUESTION

Bazel-buildfarm - specifying concurrency of worker

Asked 2020-Feb-27 at 20:35

I am trying to build TensorFlow using bazel-buildfarm. I have a server and a single worker setup using the example configurations available at https://github.com/bazelbuild/bazel-buildfarm (see examples/ directory). The lone worker is on a 72-core machine.

The problem I'm having is that once I kick off a build, although the build targets are being successfully dispatched to the worker, the worker is not taking advantage of all my cores (not even close). I tried explicitly setting --jobs=100 on the client when I initiate the TensorFlow build, but to no avail.

Does anyone have an idea how I can get my single worker to fully utilize the processing power available to it? Does this need to be specified explicitly in a worker configuration file?

...

ANSWER

Answered 2020-Feb-27 at 20:35

The worker configuration file has a setting called execute_stage_width which can be used to specify degree of concurrency.

https://github.com/bazelbuild/bazel-buildfarm/blob/e5c8db954f98644036172f790b877513d682ac79/examples/worker.config.example#L109-L110

Source https://stackoverflow.com/questions/60439138

QUESTION

Building TensorFlow with bazel-buildfarm

Asked 2020-Feb-26 at 20:22

I'm trying to build TensorFlow from-source using remote execution+caching with bazel-buildfarm. I have setup a bazel-buildfarm server and worker using example configuration files @ https://github.com/bazelbuild/bazel-buildfarm (see examples/ directory).

I added the following rules to .bazelrc inside the source repo for TensorFlow (head of master):

...

ANSWER

Answered 2020-Feb-26 at 20:22

Remove the --spawn_strategy and --genrule_strategy flags. Actions will use remote execution whenever available, and fallback to local or sandboxed options otherwise. It sounds like the genrule needs to run locally, but your flags are preventing it from doing so.

Source https://stackoverflow.com/questions/60419561

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install bazel-buildfarm

You can download it from GitHub.
You can use bazel-buildfarm like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the bazel-buildfarm component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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