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Revert "Update RELEASE.md"
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RELEASE.md

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@@ -93,15 +93,13 @@ if you only want to use or contribute to this repo.
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* OS: Linux (MacOS not supported yet due to different behavior of sed)
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* Permissions needed
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* Can create a branch in github.com/kubeflow/pipelines.
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* (Optional) if release from master branch, one would need the admin access to kubeflow/pipelines repo.
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* Can trigger cloudbuild jobs in ml-pipeline-test GCP project.
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* Tools that should be in your `$PATH`
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* jq 1.6 https://stedolan.github.io/jq/download/
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* yq https://github.com/mikefarah/yq/releases/tag/3.3.0
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* jdk 8
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* jdk 8
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* node 12
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* bazel 0.24.0 https://github.com/bazelbuild/bazel/releases/tag/0.24.0
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* python 3 (on linux, one would need the `python` to be `python3` by default instead of `python2`)
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* bazel 0.24.0
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* Preparations
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1. Clone github.com/kubeflow/pipelines repo into `$KFP_REPO`.
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2. `cd $KFP_REPO`
@@ -168,7 +166,7 @@ Do the following things before a release:
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console.log(Array.from(document.querySelectorAll('[id^="issue_"][id*="_link"]')).map(el => /issue_(.*)_link/.exec(el.id)[1]).join(' '))
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```
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1. Verify cloudbuild and postsubmit tests are passing: visit https://github.com/kubeflow/pipelines/commits/master for master branch. (https://screenshot.googleplex.com/3W7G2gE8DChojzx).
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1. Verify cloudbuild and postsubmit tests are passing: visit https://github.com/kubeflow/pipelines/commits/master for master branch.
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### Releasing from release branch
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@@ -192,8 +190,7 @@ Note, when releasing from master, all the below mentions of "release branch" mea
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Note, the script will clone kubeflow/pipelines repo into a temporary location on your computer, make those changes and attempt to push to upstream, so that it won't interfere with your current git repo.
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1. View related cloudbuild jobs' statuses by clicking the latest commit's status icon
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in the release branch. The page will look like https://github.com/kubeflow/pipelines/runs/775788343
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(way to the page https://screenshot.googleplex.com/3W7G2gE8DChojzx).
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in the release branch. The page will look like https://github.com/kubeflow/pipelines/runs/775788343.
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1. Wait and make sure the `build-each-commit` cloudbuild job that builds all images
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in gcr.io/ml-pipeline-test succeeded. If it fails, please click "View more details
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```
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1. Release `kfp` python packages to PyPI.
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```bash
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export TAG_NAME=$VERSION
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pip3 install twine --user
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gsutil cp gs://ml-pipeline/release/$TAG_NAME/kfp.tar.gz kfp-$TAG_NAME.tar.gz
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python3 -m twine upload --username kubeflow-pipelines kfp-$TAG_NAME.tar.gz

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