Not able to validate complex data type
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
Research direction
Start by reproducing schema validation with the long.timestamp-millis datum described in the issue, then trace the serializer's validation path to identify where the AvroTypeException originates. Done means this complex data type validates successfully without the exception, with a regression test covering the reported schema and datum.
Written by the indexing model from the issue text.
Description
While validating the schema with the datum, long.timestamp-millis gives AvroTypeException.
- Dominant language
- Python
- Stars
- 135
- Forks
- 43
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
More from linkedin/python-avro-json-serializer
-
Difficulty 3/5 1-2 days Newbie friendliness 25/100
linkedin/python-avro-json-serializer#15 · 2 comments ·
-
Difficulty 3/5 1-2 days Newbie friendliness 30/100
linkedin/python-avro-json-serializer#14 · 1 reaction ·
-
Better doc Open
Difficulty 2/5 Half a day Newbie friendliness 45/100
linkedin/python-avro-json-serializer#9 · 2 comments · 1 reaction ·
All issues in linkedin/python-avro-json-serializer
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
anthropics/skills#1811 · 1 comment ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
speaches-ai/speaches#678 ·
-
bug
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
datalayer/mcp-compose#42 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
conda-forge/spacy-feedstock#177 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
UKGovernmentBEIS/inspect_evals#2523 ·