Miserlou / Miserlou/lambda-packages
version `GLIBCXX_3.4.20' not found
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Description
I'm trying to use a python library, Korean NLP in Python as below.
from konlpy.tag import Twitter
It works fine on local environment but it fails on lambda environment.
$ zappa tail dev
File "<frozen importlib._bootstrap>", line 978, in _gcd_import
File "<frozen importlib._bootstrap>", line 961, in _find_and_load
File "<frozen importlib._bootstrap>", line 950, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 655, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 678, in exec_module
File "<frozen importlib._bootstrap>", line 205, in _call_with_frames_removed
File "/var/task/utils/jobs.py", line 3, in <module>
from konlpy.tag import Twitter
File "/var/task/konlpy/__init__.py", line 15, in <module>
from . import tag
File "/var/task/konlpy/tag/__init__.py", line 4, in <module>
from ._hannanum import Hannanum
File "/var/task/konlpy/tag/_hannanum.py", line 7, in <module>
import jpype
File "/var/task/jpype/__init__.py", line 18, in <module>
from ._jpackage import *
File "/var/task/jpype/_jpackage.py", line 18, in <module>
import _jpype
ImportError: /usr/lib64/libstdc++.so.6: version `GLIBCXX_3.4.20' not found (required by /var/task/_jpype.cpython-36m-x86_64-linux-gnu.so)
Can somebody explain how to avoid the above error?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the traceback from utils/jobs.py and the import chain through konlpy, jpype, and _jpype.cpython-36m-x86_64-linux-gnu.so. Reproduce the import in the AWS Lambda environment using the zappa tail dev workflow, then identify a deployment configuration or dependency combination that avoids the libstdc++ GLIBCXX_3.4.20 error and verify the import succeeds.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- cloud
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100