Github user fhueske commented on the pull request:
https://github.com/apache/flink/pull/1208#issuecomment-146264681
It's a bit painful to review because Github is not showing the diff :-(
Here is what I found in `streaming_guide.ml` until but not including
`Specifying Keys`:
Intro:
- What are regular programs?
- "The data streams are initially createdâ¦" -> "A data stream can be
produced by different sources such as â¦"
- What are distributed files?
- Flink program -> DataStream program
Linking with Flink:
- To write programs with Flink -> To implement a DataStream program
- If you want to add Flink to an existing -> If you want to add Flink's
DataStream API to an â¦
Program Skeleton (Java and Scala):
- Flink DataStream program -> DataStream Program
- If you created a JAR file from you program -> If you created a JAR file
from YOUR program
- with your own custom transformation function -> with your own custom
transformation FUNCTIONS
- converting every String in the original set to an Integer. -> converting
every String in the original STREAM to an Integer.
DataStream abstraction:
- unbounded immutable collection of data of a the same type -> unbounded
immutable collection of data ITEMS of a the same type. ?
Lazy Evaluation:
- All Flink programs -> All DataStream programs
Transformations (only checked Java, Scala probably the sameâ¦)
- KeyBy
- Logically partition a stream -> Logically PARTITIONS a stream
- This transformations -> This transformation
- Reduce + Fold
- Combines the last element with the last reduced value and emits the new
value. -> Combines the current element with the last reduced value and emits
the new value. ?
- Aggregations:
- Rolling aggregations on keyed data stream. -> Rolling aggregations on A
keyed data stream.
- Window
- Windows can be defined on already partitioned KeyedStreams -> Windows
can be defined on partitioned KeyedStreams ?
- Window Apply
- Applies a general function to the window as a whole. -> Applies a
general function to WINDOWS as a whole. ?
- A function that manually sums the elements of a window -> Sentence is
incomplete
- Window Reduce / Aggregations
- Point out difference to rolling reduce / aggregations?
- Iterate
- The resulting stream of an iteration is a DataStream again. The
IterativeStream is only "within" the iteration, right? Shouldn't it be
DataStream -> IteratativeStream -> DataStream then?
- Extract Timestamps
- Extract -> ExtractS
- Flink windows -> windows
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