lindong28 opened a new pull request, #230:
URL: https://github.com/apache/flink-ml/pull/230
## What is the purpose of the change
Add util methods that allow algorithm developers to co-group two DataStreams
with the same semantics and similar performance as `DataSet#coGroup(...)`
Here are the results of running the benchmark specified in FLINK-31753's
JIRA description:
- DataSet#coGroup takes 27.6 seconds.
- DataStreamUtils#coGroup takes 31.5 seconds.
The DataStream is roughly 12.3% slower than DataSet. The performance
difference should be negligible for real-word applications whose co-group
function is non-trivial.
## Brief change log
Added the static method `DataStreamUtils#coGroup(...)`.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): no
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: no
## Documentation
- Does this pull request introduce a new feature? yes
- If yes, how is the feature documented? JavaDocs
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