apache/beam · warning
This version of Apache Beam has not been sufficiently…
Error message
This version of Apache Beam has not been sufficiently tested on Python %s.%s. You may encounter bugs or missing features.
What it means
On import, apache_beam/__init__.py emits a UserWarning when the running interpreter is Python 3.9 or earlier, or 3.15 or later — versions outside the officially tested support window. The pipeline still runs but features/behavior may be broken. Python 2 raises RuntimeError instead.
Solutions
- Upgrade (or downgrade) to a supported Python version, e.g. 3.10–3.14.
- Create a virtualenv/conda env pinned to a supported interpreter: `python3.12 -m venv env`.
- Pin python_version in CI/requirements tooling (pyenv, tox, setup.py classifiers).
- If you must proceed on an unsupported version, test thoroughly — the warning is non-fatal.
Example fix
# before (3.9 default) $ python -m pip install apache-beam # after $ python3.12 -m venv env && source env/bin/activate $ pip install apache-beam
Defensive patterns
Strategy: validation
Validate before calling
import sys
min_major, min_minor, max_minor = 3, 10, 14
if not (min_minor <= sys.version_info.minor <= max_minor and sys.version_info.major == 3):
raise SystemExit(f"Use Python 3.{min_minor}-{max_minor}; found {sys.version}") Type guard
def is_supported_python() -> bool: import sys return sys.version_info[:2] in [(3,10),(3,11),(3,12),(3,13),(3,14)]
Prevention
- Pin the interpreter via pyenv/tox/.python-version in every project.
- Check the Beam supported-versions table before upgrading Python.
- Use virtualenvs so the system Python version never leaks in.
- Run the pipeline on the same interpreter version in CI as in production.
When it happens
Trigger: import apache_beam with sys.version_info.minor <= 9 or >= 15 (e.g. Python 3.9 EOL interpreters or brand-new 3.15 betas).
Common situations: Running Beam on an OS default Python that lags or leads supported versions; CI images with outdated Python; trying a just-released Python version before Beam supports it.
Understand the failure class
Background: "unsupported platform" / "not supported on this platform" errors: what they mean and how to fix them — this error's family across 47 libraries.
Related errors
- Artifact not found at
- Can't find a Python executable.
- Cannot find default Beam SDK tar file
- Could not find Python executable.
- Could not find python-snappy, google-crc32c, or crcmod. To…
AI-assisted analysis of apache/beam@12126d8942 (2026-09-13).
Data as JSON: /api/errors/3902c3e6500c69ef.
Report an issue: GitHub.
Appendix: source
Thrown at sdks/python/apache_beam/__init__.py:74
:class:`beam.Pipeline <apache_beam.pipeline.Pipeline>`
* Text read/write transforms are available as
:class:`beam.io.ReadFromText <apache_beam.io.textio.ReadFromText>`,
:class:`beam.io.WriteToText <apache_beam.io.textio.WriteToText>`.
Examples
--------
The `examples subdirectory
<https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples>`_
has some examples.
"""
import sys
import warnings
if sys.version_info.major == 3:
if sys.version_info.minor <= 9 or sys.version_info.minor >= 15:
warnings.warn(
'This version of Apache Beam has not been sufficiently tested on '
'Python %s.%s. You may encounter bugs or missing features.' %
(sys.version_info.major, sys.version_info.minor))
pass
else:
raise RuntimeError(
'The Apache Beam SDK for Python is only supported on Python 3. '
'It is not supported on Python [' + str(sys.version_info) + '].')
# pylint: disable=wrong-import-position
import apache_beam.internal.pickler
from apache_beam import coders
from apache_beam import io
from apache_beam import metrics
from apache_beam import typehints
from apache_beam import version
from apache_beam.pipeline import *
from apache_beam.pvalue import PCollectionView on GitHub (pinned to 12126d8942)