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cpp-opentelemetry-sdk-feedstock's Introduction

About cpp-opentelemetry-sdk-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/open-telemetry/opentelemetry-cpp

Package license: Apache-2.0

Summary: The OpenTelemetry C++ Client

Development: https://github.com/open-telemetry/opentelemetry-cpp

Documentation: https://opentelemetry.io/docs/instrumentation/cpp/

OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior.

Current build status

Azure
VariantStatus
linux_64 variant
linux_aarch64 variant
linux_ppc64le variant
osx_64 variant
osx_arm64 variant
win_64 variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing cpp-opentelemetry-sdk

Installing cpp-opentelemetry-sdk from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, cpp-opentelemetry-api, cpp-opentelemetry-sdk, libopentelemetry-cpp, libopentelemetry-cpp-headers can be installed with conda:

conda install cpp-opentelemetry-api cpp-opentelemetry-sdk libopentelemetry-cpp libopentelemetry-cpp-headers

or with mamba:

mamba install cpp-opentelemetry-api cpp-opentelemetry-sdk libopentelemetry-cpp libopentelemetry-cpp-headers

It is possible to list all of the versions of cpp-opentelemetry-api available on your platform with conda:

conda search cpp-opentelemetry-api --channel conda-forge

or with mamba:

mamba search cpp-opentelemetry-api --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search cpp-opentelemetry-api --channel conda-forge

# List packages depending on `cpp-opentelemetry-api`:
mamba repoquery whoneeds cpp-opentelemetry-api --channel conda-forge

# List dependencies of `cpp-opentelemetry-api`:
mamba repoquery depends cpp-opentelemetry-api --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating cpp-opentelemetry-sdk-feedstock

If you would like to improve the cpp-opentelemetry-sdk recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/cpp-opentelemetry-sdk-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

cpp-opentelemetry-sdk-feedstock's People

Contributors

ahadnagy avatar conda-forge-admin avatar conda-forge-curator[bot] avatar github-actions[bot] avatar h-vetinari avatar lidavidm avatar mariusvniekerk avatar regro-cf-autotick-bot avatar xhochy avatar

Watchers

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cpp-opentelemetry-sdk-feedstock's Issues

Build shared libs, add run-export, register in global pinning

Hey all

I just noticed that arrow comes with an ability to build against opentelemetry, so it would be nice to have this lib ready for that use-case.

AFAICT from the various feedstocks floating around, this is the main one for the CPP lib, but it:

  • build static instead of shared libs
  • doesn't have a run-export
  • is not part of the global pinning

Those things would be the minimum necessary for arrow to build against this feedstock.

Enable logging in next release of opentelemetry-cpp

Comment:

In the current release of opentelemetry-cpp (v1.2.0) there is an option to enable the experimental logging feature through the WITH_LOGS_PREVIEW CMake option. It's not enabled at the moment.

For users of the package, it looks like this functionality will only be exposed when using the ENABLE_LOGS_PREVIEW compile definition.

I'm not sure when this feature will leave its experimental status, and I'm not in a terrible hurry to use it. But, regardless of what it looks like in the next release, it would be nice if we could enable it, or whenever we have a reason to make a new Conda package build.

(If something I said here doesn't make sense, please correct me - I'm not very familiar with the Conda ecosystem yet.)

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