[rhoai-2.25] RHAIENG-2645: add loop to retry package installation when it fails - #1883
[rhoai-2.25] RHAIENG-2645: add loop to retry package installation when it fails#1883daniellutz wants to merge 1 commit into
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/build-konflux |
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Jiri did make some suggestions and I'm working through some details, an update is coming in a couple of moments, then I will check what is going on with the build |
jiridanek
changed the title
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For the record, my suggestion was to somehow avoid duplicating the bash looping code (about 15 lines) for every RUN dnf. |
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for more clarification, the suggestion was taking the entire loop sections and simplifying it in a shell script, aiming for reuse and avoiding huge changes in the Dockerfile (hundreds of lines because of the loops), i.e., move this: RUN --mount=type=cache,target=/var/cache/dnf /bin/bash <<'EOF'
set -Eeuxo pipefail
MAX_RETRIES=3
RETRY_COUNT=0
until dnf install -y perl mesa-libGL skopeo || [ $RETRY_COUNT -ge $MAX_RETRIES ]; do
RETRY_COUNT=$((RETRY_COUNT + 1))
...
done
if [ $RETRY_COUNT -ge $MAX_RETRIES ]; then
echo "ERROR: dnf install failed after $MAX_RETRIES attempts"
exit 1
fi
EOFto something like this: COPY jupyter/utils utils/
RUN --mount=type=cache,target=/var/cache/dnf /bin/bash -c '
./utils/install_with_retry.sh dnf-install perl mesa-libGL skopeo
'then the same script would be reused across all images, the loops would be simplified and there are numerous possibilities in terms of what commands could use the loop (dnf install, dnf upgrade, wget, texlive-install, etc) thanks again, Jiri |
| @@ -85,7 +85,28 @@ RUN dnf -y upgrade --refresh --nobest --skip-broken --nodocs --noplugins --setop | |||
| # upgrade first to avoid fixable vulnerabilities end | |||
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| # Install useful OS packages | |||
| RUN dnf install -y perl mesa-libGL skopeo && dnf clean all && rm -rf /var/cache/yum | |||
| RUN --mount=type=cache,target=/var/cache/dnf /bin/bash <<'EOF' | |||
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@tiran does this with sharing=locked and sets an id=, https://github.com/tiran/instructlab-containers/blob/ff083370d929cb00c599fd751db3e2741f8d5348/containers/rocm/Containerfile.c9s#L39C24-L39C38
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Based on the code snippet and the discussion provided, here is an analysis of the RUN instruction and the suggestion made by jiridanek.
Summary
The original code uses a cache mount to speed up DNF operations, but it lacks safeguards against concurrency issues and cache collisions. The comment by jiridanek correctly identifies that adding sharing=locked and a specific id is a best practice, particularly in CI/CD environments or when building multiple images on the same host.
Detailed Analysis
1. The Original Code
RUN --mount=type=cache,target=/var/cache/dnf /bin/bash <<'EOF'
- Purpose: This tells the container builder (BuildKit or Buildah) to mount a persistent cache volume at
/var/cache/dnfduring the build step. - Benefit: Subsequent builds can reuse downloaded package metadata and RPMs, significantly speeding up
dnf installoperations. - The Risk: By default, cache mounts usually have a sharing mode of
shared. This means multiple build processes running simultaneously on the same machine could try to write to this cache at the same time.
**2. The Suggestion: sharing=locked**
Package managers like dnf and yum are generally not designed for concurrent access to their databases.
- The Problem: If two parallel builds try to update the DNF metadata or install packages using the same shared cache directory, they may corrupt the RPM database or cause race conditions (e.g., one process deletes a file while another tries to read it).
- The Fix: Setting
sharing=lockedforces the builder to lock the cache for the duration of theRUNcommand. If another build needs that cache, it must wait until the first one finishes. This ensures data integrity at the cost of slight serialization.
**3. The Suggestion: id=...**
The id field defines a unique namespace for the cache.
- The Problem: The default ID for a cache is the value of the
targetpath (e.g.,/var/cache/dnf). If you are building multiple images based on different distributions (e.g., Fedora 40 vs. CentOS Stream 9) on the same host, they will both try to use the same cache folder because the path inside the container is identical. This can lead to conflicts where one OS overwrites the cache of another incompatible OS. - The Fix: setting an explicit
id(e.g.,id=dnf-c9s) ensures that the CentOS Stream 9 build uses a completely different cache bucket than a Fedora build, even if they map to the same directory inside the container.
Recommendation
You should adopt the suggestion to improve stability and reliability.
Improved Code:
RUN --mount=type=cache,target=/var/cache/dnf,sharing=locked,id=dnf-c9s \
/bin/bash <<'EOF'
# ... your dnf commands ...
EOF
Would you like me to generate a specific id convention for your other container files as well?
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/build-konflux |
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Hey Daniel, the changes looks good to me, however it would be nice to see them in action. |
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Niah... now it fails with |
| @@ -31,7 +31,7 @@ if [[ "$ARCH" == "amd64" || "$ARCH" == "arm64" ||"$ARCH" == "ppc64le" ]]; then | |||
| # install build dependencies | |||
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On my trials the other time I had timeout issues on npm install step, can you wrap that line with the retry script?
https://github.com/daniellutz/odh-notebooks/blob/83c426252f148afac76f61b5e221ef823e21efdd/codeserver/ubi9-python-3.12/get_code_server_rpm.sh#L68C2-L68C13
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the idea of the script (thanks Jiri, again) was to improve that as well, npm install, dnf upgrade and anything that could require the retry loop
let me wrap it as well
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added the npm install retry loop as well for codeserver image
on purpose, I did not add the loop to npm run build, let's see if on npm install will be enough
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Hey Daniel, do you have any working build for this PR? |
yes, and you can open the builds from Konflux, they failed because they were trying to use CPython 3.14 to run its tests (I don't know why), but locally and you can see from the builds steps (except codeserver that didn't finish the compile phase), that the images have been build, i.e.,
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Path: .coderabbit.yaml Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (1)
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Included review availability: Your plan includes up to 1 review per rolling hour; 0 remain after this review. 📝 WalkthroughWalkthroughChangesRetry-based image installation
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟠 High · up to The PR adds retry loops to reduce transient package-installation build failures, but the current head still contains an unparsable codeserver launcher and an unverified remote installer, plus dependency/build and cache inconsistencies. These issues can prevent image startup or weaken build integrity, so merge should be blocked until they are resolved. Suggested labels: Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: The full list of commands accepted by this bot can be found here. DetailsNeeds approval from an approver in each of these files:Approvers can indicate their approval by writing |
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Actionable comments posted: 4
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
In `@codeserver/ubi9-python-3.12/get_code_server_rpm.sh`:
- Around line 54-55: Update the nfpm RPM installation command in
get_code_server_rpm.sh to invoke utils/install_with_retry.sh with dnf-install,
while preserving the existing generated RPM URL and NFPM_VERSION resolution.
- Around line 58-60: Update the NVM installation flow around NVM_VERSION to use
a fixed NVM release or commit instead of releases/latest, download install.sh to
a local file, verify its checksum or signature, and execute it only after
successful verification; preserve the subsequent sourcing of NVM_DIR and nvm
install behavior.
In `@codeserver/ubi9-python-3.12/run-code-server.sh`:
- Line 3: Resolve the Git conflict markers in run-code-server.sh, including the
markers around lines 3, 12, and 16, and retain the required utility-loading
implementation so the Bash script parses correctly.
Apply the same fix in
`@jupyter/datascience/ubi9-python-3.12/Dockerfile.konflux.cpu` around lines 71 -
74: Covers all seven conflict-marker ranges identified in the original
Dockerfile comment.
In `@jupyter/datascience/ubi9-python-3.12/Dockerfile.cpu`:
- Around line 125-158: Update the Arrow build flow in the Dockerfile to copy the
lock inputs into the builder, derive the checkout tag from pylock.toml instead
of hard-coding apache-arrow-17.0.0, and build PyArrow through PEP 517 using
python -m build --wheel --no-isolation with PYARROW_BUNDLE_ARROW_CPP=1. Remove
the python setup.py invocation and PYARROW_PARALLEL, while retaining Ninja-based
parallelism.
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codeserver/ubi9-python-3.12/Dockerfile.cpucodeserver/ubi9-python-3.12/Dockerfile.konflux.cpucodeserver/ubi9-python-3.12/get_code_server_rpm.shcodeserver/ubi9-python-3.12/run-code-server.shcodeserver/ubi9-python-3.12/utils/import_rpm_gpg_keys.shcodeserver/ubi9-python-3.12/utils/install_with_retry.shjupyter/datascience/ubi9-python-3.12/Dockerfile.cpujupyter/datascience/ubi9-python-3.12/Dockerfile.konflux.cpujupyter/utils/install_with_retry.sh
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Actionable comments posted: 1
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Inline comments:
In `@jupyter/datascience/ubi9-python-3.12/Dockerfile.konflux.cpu`:
- Line 161: Use /var/cache/dnf for the retry-install cache mount in
jupyter/datascience/ubi9-python-3.12/Dockerfile.konflux.cpu at lines 161, 227,
and 333; replace the existing /root/.cache/dnf mount at line 161 and add
equivalent mounts to the RUN instructions at lines 227 and 333.
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this PR content has changed from providing the retry loop to both codeserver and jupyter-datascience to only providing the changes to jupyter-datascience build has been executed successfully in amd64 arch and ppc64 is still building (it worked, it's just the build that takes time for ppc64) |
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Code Review (low effort)
Diff review of the 2 changed files: jupyter/datascience/ubi9-python-3.12/Dockerfile.konflux.cpu and new jupyter/utils/install_with_retry.sh.
Findings
-
jupyter/datascience/ubi9-python-3.12/Dockerfile.konflux.cpu— the newENV PATH="/usr/local/texlive/bin/linux:/usr/local/pandoc/bin:$PATH"looks wrong for how PDF support is actually installed here:jupyter/utils/install_pdf_deps.shinstallstexlive-*/pandocviadnf, which lands binaries in the standard/usr/bin, not under/usr/local/texliveor/usr/local/pandoc. Those directories are never created in this flow, so the new PATH entries are dead/misleading — looks copied from a different (tarball-based) texlive install. -
Same file, the dnf-install hunk for the s390x/other-arch packages block — after switching to
./utils/install_with_retry.sh dnf-install "${PACKAGES[@]}", the next linednf clean all && rm -rf /var/cache/yumwas left in place, butinstall_with_retry.sh'sdnf_install()already performsdnf clean all; rm -rf /var/cache/yuminternally. Harmless but leftover/duplicate cleanup from an incomplete refactor.
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low effort, 1 diff pass, no verify |
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Follow-up review (medium effort, full-file context)
low-to-medium effort, full-file context read, no build/verify performed |
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As the project evolved with another direction since this PR was initially created, the team decided to simply not merge this in our current state. This PR will be closed. |
5 participants
This PR addresses intermittent build failures (flakiness) caused by transient network issues during dnf install commands.
rhoai-2.25branch, not going forward to ODH main or RHDS main / stable as the team already has in the work hermetic builds to solve this kind of issue in newer versions;rhoai-3.3;Description
Here is a summary of the changes proposed in this PR:
dnf installortexlive-install(install_pdf_deps)MAX_RETRIESlimit (default: 3) with a 30-secondsleepbetween attempts to allow network congestion or CDN hiccups to clear.dnf clean metadatawithin the retry block for subsequent attempts to start with a fresh SSL/OCSP state.set -Eeuxo pipefailin Heredoc blocks to ensure the build fails immediately and loudly if a non-retryable error occurs.RUN --mount=type=cacheto ensure partial downloads are preserved between retries, reducing bandwidth and build time.The logic ensures that commands return an exit code of 0 (success). If a command returns a non-zero exit code after 3 attempts, the script will explicitly exit 1, preventing the creation of a "poisoned" or incomplete Docker image.
Here is an example of the working code in the codeserver build steps:
Due to architectural differences between images, the retry logic was implemented individually to accommodate unique package requirements. Each image has been manually verified through local builds to ensure the proposed changes are stable and reliable.
How Has This Been Tested?
These images have been built manually to ensure that the commands are running properly, with the following instructions to build and test:
codeserver (cpu)
To build the image:
make codeserver-ubi9-python-3.12 \ -e RELEASE="2025b" \ -e IMAGE_REGISTRY="quay.io/$USER/workbench-images" \ -e RELEASE_PYTHON_VERSION="3.12" \ -e CONTAINER_BUILD_CACHE_ARGS="--no-cache" \ -e PUSH_IMAGES="no"To run the image:
jupyter/datascience (cpu)
To build the image:
make jupyter-datascience-ubi9-python-3.12 \ -e RELEASE="2025b" \ -e IMAGE_REGISTRY="quay.io/$USER/workbench-images" \ -e RELEASE_PYTHON_VERSION="3.12" \ -e CONTAINER_BUILD_CACHE_ARGS="--no-cache" \ -e PUSH_IMAGES="no"To run the image:
Self checklist (all need to be checked):
make test(gmakeon macOS) before asking for reviewDockerfile.konfluxfiles should be done inodh/notebooksand automatically synced torhds/notebooks. For Konflux-specific changes, modifyDockerfile.konfluxfiles directly inrhds/notebooksas these require special attention in the downstream repository and flow to the upcoming RHOAI release.Merge criteria:
Summary by CodeRabbit
Bug Fixes
New Features