ffernandez92 opened a new issue, #33442:
URL: https://github.com/apache/beam/issues/33442
### What happened?
When using the ReadFromJdbc transform in Beam YAML, I encountered a
ValueError with the following stack trace:
```
ValueError: Error apply transform "ReadFromJdbc" at line 4: Failed to decode
schema due to an issue with Field proto:
2024-12-23 16:03:49.144 ∅∅∅
name: "day"
2024-12-23 16:03:49.144 ∅∅∅
type {
2024-12-23 16:03:49.144 ∅∅∅
logical_type {
2024-12-23 16:03:49.144 ∅∅∅
urn: "beam:logical_type:javasdk_date:v1"
2024-12-23 16:03:49.144 ∅∅∅
payload: "\202SNAPPY\000\000\000\000\001\000\000\000..."
2024-12-23 16:03:49.145 ∅∅∅
representation {
2024-12-23 16:03:49.145 ∅∅∅
logical_type {
```
The error seems to be related to decoding a schema field of type
logical_type with the URN beam:logical_type:javasdk_date:v1
Steps to reproduce:
1 - Create a YAML to read from JDBC:
```
pipeline:
type: chain
transforms:
- type: ReadFromJdbc
config:
url: trino_connection
driver_class_name: io.trino.jdbc.TrinoDriver
query: SELECT day FROM test_table
driver_jars: gs://trino_jdbc.jar
username: xxxxx
password: xxxxxx
```
day is type DATE (91) in Trino
2 - Run the pipeline.
### Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
### Issue Components
- [ ] Component: Python SDK
- [ ] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [X] Component: Beam YAML
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Infrastructure
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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