shunping opened a new issue, #35244: URL: https://github.com/apache/beam/issues/35244
### What happened? Steps to reproduce: 1. Create a table in a database (e.g. Postgres) and insert rows ```SQL CREATE TABLE my_test (ITEM VARCHAR(25), LAST_TS DATE); INSERT INTO my_test (ITEM, LAST_TS) VALUES ('item1', '2025-06-15'); INSERT INTO my_test (ITEM, LAST_TS) VALUES ('item2', '2025-06-16'); INSERT INTO my_test (ITEM, LAST_TS) VALUES ('item3', NULL); ``` 2. Run the following python code ```python import logging import apache_beam as beam from apache_beam.options.pipeline_options import PipelineOptions from apache_beam.io.jdbc import ReadFromJdbc logging.basicConfig(level=logging.INFO) options = PipelineOptions() driver = 'org.postgresql.Driver' jdbc_url = 'jdbc:postgresql://localhost:5432/<your_db>' username = 'postgres' password = '' with beam.Pipeline(options=options) as p: _ = ( p | 'Read from jdbc' >> ReadFromJdbc( table_name="my_test", driver_class_name=driver, jdbc_url=jdbc_url, username=username, password=password) ) | beam.Map(print)) ``` The following error is raised when running the pipeline. ``` File "../sdks/python/apache_beam/typehints/schemas.py", line 926, in to_language_type return Timestamp(seconds=int(value.seconds), micros=int(value.micros)) ^^^^^^^^^^^^^^^^^^ TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType' ``` There is a workaround to put the following lines before the "with" statement. ``` from apache_beam.coders.row_coder import LogicalType from apache_beam.typehints.schemas import MillisInstant LogicalType.register_logical_type(MillisInstant) ``` ``` ### 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 - [ ] 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 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@beam.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org