[Bug]: Python JDBC IO Try To Connect RDB Before Deploying

[case-k-git]

What happened?

When I tried to deploy python jdbc pipeline to dataflow from my local env, failed to deploy into dataflow and got connection error. seems to be python jdbc io trying to connect database from local env not only dataflow env.

I have checked connection and find trying to make connection from my pc.database can only accepting connection inside from dataflow net work so got connection error.

I have also checked java jdbc version and it worked fine. so python versions this behavior must be bug

class PostgresToBigQueryDataflow():

    def __init__(self):
        self._username = '<username>'
        self._password = '<password>'
        self._driver_class_name = 'org.postgresql.Driver'
        self._query = "select id from beam_table;"
        self._jdbc_url = 'jdbc:postgresql://<private_IP>:5432/beam'
        self._project = '<project id>'
        self._dataset = '<dataset>'
        self._table = '<table>'
        self._options = DebugOptions([
            "--runner=DataflowRunner",
            "--project=<project id>",
            "--job_name=<job name>",
            "--temp_location=gs://<project id>/tmp/",
            "--region=us-central1",
            "--experiments=use_runner_v2",
            "--subnetwork=regions/us-central1/subnetworks/<subnet>",
        ])
    def test(self):
        JdbcToBigQuery(self._username, self._password, self._driver_class_name, self._query, self._jdbc_url, self._project, self._dataset,self._table, self._options).run()

Issue Priority

Priority: 2

Issue Component

Component: cross-language

[Abacn]

Could you please share the error message seen when deploying the pipeline to Dataflow?

I did some local test and see the following error when cannot connect to jdbc database:

INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.extensions.schemaio.expansion.ExternalSchemaIOTransformRegistrar$Configuration' has no schema registered. Attempting to construct with setter approach.
Traceback (most recent call last):
  File "jdbcioTest.py", line 180, in <module>
    test_instance.run_read()
  File "jdbcioTest.py", line 157, in run_read
    p
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/transforms/ptransform.py", line 1095, in __ror__
    return self.transform.__ror__(pvalueish, self.label)
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/transforms/ptransform.py", line 617, in __ror__
    result = p.apply(self, pvalueish, label)
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/pipeline.py", line 663, in apply
    return self.apply(transform, pvalueish)
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/pipeline.py", line 709, in apply
    pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/runners/runner.py", line 185, in apply
    return m(transform, input, options)
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/runners/runner.py", line 215, in apply_PTransform
    return transform.expand(input)
  File "/Users/yathu/dev/virtualenv/py38beam/lib/python3.8/site-packages/apache_beam/transforms/external.py", line 526, in expand
    raise RuntimeError(response.error)
RuntimeError: org.apache.beam.sdk.io.jdbc.BeamSchemaInferenceException: Failed to infer Beam schema
	at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadRows.inferBeamSchema(JdbcIO.java:696)
	at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadRows.expand(JdbcIO.java:672)
	at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadRows.expand(JdbcIO.java:592)
	at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:548)
...

If this is also what you see, what happens is that the external transform is trying to infer schema by connecting to the database at pipeline expansion time, which happens only in external transform expansion service. Will investigate whether it is possible or how can avoid it.

[Abacn]

.remove-labels "awaiting triage"

[github-actions]

Label "awaiting cannot be managed because it does not exist in the repo. Please check your spelling.

[Abacn]

.remove-labels 'awaiting triage'

[Abacn]

Expansion service tries to get the schema by connecting the jdbc server. Using Java SDK does not go to the expansion service so it did not. However I agree that it is reasonable that could defer the process.

CC: @robertwb There was some discussion of defer the expansion service. It could benefit this use case if implemented. Or is there other solution?

[mataralhawiti]

I'm facing the same issue where it tries to infer schema during pipeline submission from local machine (which doesn't have access to DB server).

[hakimkac99]

Hi @case-k-git any updates ? did you find a solution ?

[RhysGrimshaw]

I'm facing the same issue where it tries to infer schema during pipeline submission from local machine (which doesn't have access to DB server).

Hi Matar,
Did you ever manage to find a fix for this? We are running into the exact same issue.

[mataralhawiti]

I'm facing the same issue where it tries to infer schema during pipeline submission from local machine (which doesn't have access to DB server).

Hi Matar, Did you ever manage to find a fix for this? We are running into the exact same issue.

hey @RhysGrimshaw As of now, the only option is you must open the connection between the machine submitting (you local machine if you submitting manually or your Dataflow VMs subnet)the job and DB server. For example, in my case I opened the connection from our dataflow subnet to the DB server.

[RhysGrimshaw]

I'm facing the same issue where it tries to infer schema during pipeline submission from local machine (which doesn't have access to DB server).

Hi Matar, Did you ever manage to find a fix for this? We are running into the exact same issue.

hey @RhysGrimshaw As of now, the only option is you must open the connection between the machine submitting (you local machine if you submitting manually or your Dataflow VMs subnet)the job and DB server. For example, in my case I opened the connection from our dataflow subnet to the DB server.

Thank you for getting back to me. How do you go about running the a Python script directly from the Subnet? The only options I seem to have available are from a template/builder, or by reusing a Dataflow Job. But since my job fails before it gets to Dataflow (due to it trying to infer schema from a local machine connection) I can't build a new job from this.