Fixing XMLSec/LXML Version Mismatch: When Installation Order Matters
Munish ThakurSometimes the most frustrating bugs are the ones with cryptic error messages. This was one of them.
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The application container was crashing on startup, and all I had was this error message.
The Problem
Our Django application needed SAML authentication, which required python3-saml. This package depends on both lxml and xmlsec, which both depend on the system library libxml2.
The error meant: lxml and xmlsec were compiled against different versions of libxml2.
Why This Happens
The Binary Wheel Problem
When you run pip install lxml, pip can either:
- Download a pre-built binary wheel (compiled by someone else)
- Compile from source (using your system’s libxml2)
If one package uses a binary wheel and the other compiles from source, they’ll link to different libxml2 versions.
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The Original Dockerfile (Broken)
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Why This Fails
pip install python3-samlinstallslxmlandxmlsecas binary wheels- Then we install the system dev libraries
- Trying to reinstall just
lxmlfrom source doesn’t help -xmlsecis still the binary version
The Fix: Order Matters
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Key Changes
- ✅ System libraries installed before any Python packages
- ✅ Both
lxmlandxmlseccompiled from source with--no-binary - ✅ Explicit installation order matters
The Multi-Stage Optimization
Once it worked, I optimized it with a multi-stage build:
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Result: Image size reduced from 1.2GB → 800MB, and the import works perfectly.
Debugging Tips
1. Check Library Versions
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2. Force Rebuild from Source
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The :all: tells pip to compile everything from source.
3. Use Build Isolation
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Sometimes build isolation causes issues.
Similar Issues You Might Face
This “version mismatch” pattern happens with other C-extension Python packages:
| Package Pair | Common Library | Error |
|---|---|---|
lxml + xmlsec | libxml2 | Version mismatch |
psycopg2 + psycopg2-binary | libpq | Conflicts |
numpy + pandas | BLAS libraries | Import errors |
PIL + Pillow | Image libraries | Conflicts |
Solution is always the same:
- Install system dev libraries first
- Compile packages from source
- Maintain consistent versions
What I Learned
1. Installation Order is Critical
In Docker, the order of RUN commands matters more than most people realize.
2. Binary Wheels Are Convenient But Risky
Pre-built wheels save build time but can cause version conflicts. For critical dependencies, compile from source.
3. Multi-Stage Builds Solve Two Problems
- Build stage: All dev dependencies for compilation
- Runtime stage: Only minimal runtime libraries
- Result: Smaller images + clean dependencies
4. Document the “Why”
I added comments explaining the order:
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Future me (and teammates) will thank past me.
The Checklist
When facing Python C-extension issues in Docker:
- Install system dev libraries before pip packages
- Use
--no-binaryfor packages with C extensions - Compile dependent packages in the right order
- Check library versions with
-c "import pkg; print(pkg.__version__)" - Test the import in a fresh container
- Consider multi-stage build for production
Tools That Help
1. Check What’s Inside a Package
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2. ldd - Check Library Dependencies
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3. Docker Build Cache
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Conclusion
Dependency management in Docker is more nuanced than pip install -r requirements.txt.
When packages have C extensions:
- System libraries first
- Compile from source for consistency
- Test thoroughly
This took me 6 hours to debug the first time. By documenting it here, hopefully I can save you those 6 hours.
Remember: The error message might be cryptic, but the solution is simple - respect the order.