ahmedabu98 opened a new issue, #25669:
URL: https://github.com/apache/beam/issues/25669
### What happened?
Was testing a SchemaTransform Python wrapper (#25521) and found that I had
to have a right ordering of kwargs for the input arguments to reach the Java
transform in the right fields. This is weird because the ordering of kwargs
should have no impact.
For example, where `self._table="my_project:my_dataset.xlang_table"`,
the following works fine:
```
external_storage_write = SchemaAwareExternalTransform(
identifier=self.schematransform_config.identifier,
expansion_service=self._expansion_service,
createDisposition=self._create_disposition,
writeDisposition=self._write_disposition, #<---
triggeringFrequencySeconds=self._triggering_frequency,
useAtLeastOnceSemantics=self._use_at_least_once,
table=self._table) #<---
```
and I get a configuration object in Java transform that looks like this:
```
BigQueryStorageWriteApiSchemaTransformConfiguration{
table=my_project:my_dataset.xlang_table,
createDisposition=,
writeDisposition=,
triggeringFrequencySeconds=0,
useAtLeastOnceSemantics=false}
```
However, if I change the kwargs to look like this (switch places of table
and writeDisposition):
```
external_storage_write = SchemaAwareExternalTransform(
identifier=self.schematransform_config.identifier,
expansion_service=self._expansion_service,
createDisposition=self._create_disposition,
table=self._table, #<---
triggeringFrequencySeconds=self._triggering_frequency,
useAtLeastOnceSemantics=self._use_at_least_once,
writeDisposition=self._write_disposition) #<---
```
I get the following configuration object. Notice the value intended for
`table` is now in the `writeDisposition` field.
```
BigQueryStorageWriteApiSchemaTransformConfiguration{
table=,
createDisposition=,
writeDisposition=my_project:my_dataset.xlang_table,
triggeringFrequencySeconds=0,
useAtLeastOnceSemantics=false
```
### Issue Priority
Priority: 1 (data loss / total loss of function)
### Issue Components
- [X] Component: Python SDK
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