-
Type:
Improvement
-
Status: Resolved
-
Priority:
Major
-
Resolution: Fixed
-
Affects Version/s: 2.3.0
-
Fix Version/s: 2.4.0
-
Component/s: Structured Streaming
-
Labels:None
-
Target Version/s:
Currently, the micro-batches in the MicroBatchExecution is not exposed to the user through any public API. This was because we did not want to expose the micro-batches, so that all the APIs we expose, we can eventually support them in the Continuous engine. But now that we have a better sense of building a ContinuousExecution, I am considering adding APIs which will run only the MicroBatchExecution. I have quite a few use cases where exposing the micro-batch output as a dataframe is useful.
- Pass the output rows of each batch to a library that is designed only the batch jobs (example, uses many ML libraries need to collect() while learning).
- Reuse batch data sources for output whose streaming version does not exist (e.g. redshift data source).
- Writer the output rows to multiple places by writing twice for each batch. This is not the most elegant thing to do for multiple-output streaming queries but is likely to be better than running two streaming queries processing the same data twice.
The proposal is to add a method foreachBatch(f: Dataset[T] => Unit) to Scala/Java/Python DataStreamWriter.