SaintBacchus created SPARK-6605:
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Summary: Same transformation in DStream leads to different result
Key: SPARK-6605
URL: https://issues.apache.org/jira/browse/SPARK-6605
Project: Spark
Issue Type: Bug
Components: Streaming
Affects Versions: 1.3.0
Reporter: SaintBacchus
Fix For: 1.4.0
The transformation *reduceByKeyAndWindow* has two implementations: one use the
*WindowDstream* and the other use *ReducedWindowedDStream*.
But the result always is the same, except when an empty windows occurs.
As a wordcount example, if a period of time (larger than window time) has no
data coming, the first *reduceByKeyAndWindow* has no elem inside but the
second has many elem with the zero value inside.
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