prakhar-dhakar opened a new issue, #30445:
URL: https://github.com/apache/beam/issues/30445
### What happened?
To reproduce the issue, you can simply use the below python code
```
from apache_beam.dataframe.convert import to_dataframe, to_pcollection
from apache_beam.dataframe.transforms import DataframeTransform
import logging
import argparse
import sys
import pandas
logging.getLogger().setLevel(logging.INFO)
parser = argparse.ArgumentParser()
known_args, pipeline_args = parser.parse_known_args(sys.argv)
pipeline_options = PipelineOptions(pipeline_args)
pipeline_options.view_as(SetupOptions).save_main_session = True
# Just a Dummy Dataframe Transform Function, Ignore the logic
def transformdf(a, b):
a["addr"] = "addr-common"
return a
p = beam.Pipeline(options=pipeline_options)
# Schema Aware Pcollection
data1 = [Row(id=1, name="abc"), Row(id=2, name="def"), Row(id=3, name="ghi")]
pcol1 = (p | "Create1" >> beam.Create(data1))
data2 = [Row(addr="addr1"), Row(addr="addr2"), Row(addr="addr3")]
pcol2 = (p | "Create2" >> beam.Create(data2))
pcol = ({"a":pcol1, "b":pcol2} | "TransformedDF" >>
DataframeTransform(transformdf))
# The above throws issue with duplicate label error
pcol | "Map" >> beam.Map(lambda row: {"id":row.id, "name":row.name,
"addr":row.addr}) | "Print" >> beam.Map(print)
p.run().wait_until_finish()
```
this is sourced from this
https://stackoverflow.com/questions/70937308/apache-beam-multiple-pcollection-dataframetransform-issue
issue.
To explain the issue in detail,
When we are passing multiple PCollection to `DataframeTransform` function,
we get the following error back
`RuntimeError: A transform with label "TransformedDF/BatchElements(pc)"
already exists in the pipeline `.
This is happening even though the PCollection is schema aware
### Issue Priority
Priority: 1 (data loss / total loss of function)
### Issue Components
- [X] Component: Python SDK
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