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B

buildPartialModel(Iterable<Integer>) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.PartialModelBuilder
 

C

cancel() - Method in class org.apache.flink.streaming.examples.join.WindowJoin.GradeSource
 
cancel() - Method in class org.apache.flink.streaming.examples.join.WindowJoin.SalarySource
 
cancel() - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteNewDataSource
 
cancel() - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteTrainingDataSource
 
CAR_DATA - Static variable in class org.apache.flink.streaming.examples.windowing.util.TopSpeedWindowingExampleData
 

E

EXPECTED - Static variable in class org.apache.flink.streaming.examples.windowing.util.SessionWindowingData
 

F

FiniteNewDataSource() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteNewDataSource
 
FiniteTrainingDataSource() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteTrainingDataSource
 
flatMap(String, Collector<Tuple2<String, Integer>>) - Method in class org.apache.flink.streaming.examples.twitter.TwitterStream.SelectEnglishAndTokenizeFlatMap
Select the language from the incoming JSON text
flatMap(String, Collector<PojoExample.Word>) - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Tokenizer
 
flatMap(String, Collector<Tuple2<String, Integer>>) - Method in class org.apache.flink.streaming.examples.wordcount.WordCount.Tokenizer
 

G

getBatchModel() - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.Predictor
 
getFrequency() - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
getTimestamp(Tuple2<String, Integer>) - Method in class org.apache.flink.streaming.examples.join.WindowJoin.MyTimestamp
 
getTimestamp(Integer) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.LinearTimestamp
 
getWord() - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
GRADES_INPUT - Static variable in class org.apache.flink.streaming.examples.join.util.WindowJoinData
 
GradeSource() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin.GradeSource
 

I

IncrementalLearningSkeleton - Class in org.apache.flink.streaming.examples.ml
Skeleton for incremental machine learning algorithm consisting of a pre-computed model, which gets updated for the new inputs and new input data for which the job provides predictions.
IncrementalLearningSkeleton() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton
 
IncrementalLearningSkeleton.FiniteNewDataSource - Class in org.apache.flink.streaming.examples.ml
Feeds new data for newData.
IncrementalLearningSkeleton.FiniteTrainingDataSource - Class in org.apache.flink.streaming.examples.ml
Feeds new training data for the partial model builder.
IncrementalLearningSkeleton.LinearTimestamp - Class in org.apache.flink.streaming.examples.ml
 
IncrementalLearningSkeleton.PartialModelBuilder - Class in org.apache.flink.streaming.examples.ml
Builds up-to-date partial models on new training data.
IncrementalLearningSkeleton.Predictor - Class in org.apache.flink.streaming.examples.ml
Creates newData using the model produced in batch-processing and the up-to-date partial model.
IncrementalLearningSkeletonData - Class in org.apache.flink.streaming.examples.ml.util
 
INPUT_PAIRS - Static variable in class org.apache.flink.streaming.examples.iteration.util.IterateExampleData
 
InputMap() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.InputMap
 
IterateExample - Class in org.apache.flink.streaming.examples.iteration
Example illustrating iterations in Flink streaming.
IterateExample() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample
 
IterateExample.InputMap - Class in org.apache.flink.streaming.examples.iteration
Map the inputs so that the next Fibonacci numbers can be calculated while preserving the original input tuple A counter is attached to the tuple and incremented in every iteration step
IterateExample.MySelector - Class in org.apache.flink.streaming.examples.iteration
OutputSelector testing which tuple needs to be iterated again.
IterateExample.OutputMap - Class in org.apache.flink.streaming.examples.iteration
Giving back the input pair and the counter
IterateExample.Step - Class in org.apache.flink.streaming.examples.iteration
Iteration step function that calculates the next Fibonacci number
IterateExampleData - Class in org.apache.flink.streaming.examples.iteration.util
 

J

join(Tuple2<String, Integer>, Tuple2<String, Integer>) - Method in class org.apache.flink.streaming.examples.join.WindowJoin.MyJoinFunction
 

L

LinearTimestamp() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.LinearTimestamp
 

M

main(String[]) - Static method in class org.apache.flink.streaming.examples.iteration.IterateExample
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.join.WindowJoin
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.socket.SocketTextStreamWordCount
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.twitter.TwitterStream
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.windowing.SessionWindowing
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.windowing.TopSpeedWindowing
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.windowing.WindowWordCount
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.wordcount.PojoExample
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.wordcount.WordCount
 
map(Tuple2<Integer, Integer>) - Method in class org.apache.flink.streaming.examples.iteration.IterateExample.InputMap
 
map(Tuple5<Integer, Integer, Integer, Integer, Integer>) - Method in class org.apache.flink.streaming.examples.iteration.IterateExample.OutputMap
 
map(Tuple5<Integer, Integer, Integer, Integer, Integer>) - Method in class org.apache.flink.streaming.examples.iteration.IterateExample.Step
 
map(String) - Method in class org.apache.flink.streaming.examples.join.WindowJoin.MySourceMap
 
map1(Integer) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.Predictor
 
map2(Double[]) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.Predictor
 
mapWindow(Iterable<Integer>, Collector<Double[]>) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.PartialModelBuilder
 
MyJoinFunction() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin.MyJoinFunction
 
MySelector() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.MySelector
 
MySourceMap() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin.MySourceMap
 
MyTimestamp(int) - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin.MyTimestamp
 

O

open(Configuration) - Method in class org.apache.flink.streaming.examples.join.WindowJoin.SalarySource
 
org.apache.flink.streaming.examples.iteration - package org.apache.flink.streaming.examples.iteration
 
org.apache.flink.streaming.examples.iteration.util - package org.apache.flink.streaming.examples.iteration.util
 
org.apache.flink.streaming.examples.join - package org.apache.flink.streaming.examples.join
 
org.apache.flink.streaming.examples.join.util - package org.apache.flink.streaming.examples.join.util
 
org.apache.flink.streaming.examples.ml - package org.apache.flink.streaming.examples.ml
 
org.apache.flink.streaming.examples.ml.util - package org.apache.flink.streaming.examples.ml.util
 
org.apache.flink.streaming.examples.socket - package org.apache.flink.streaming.examples.socket
 
org.apache.flink.streaming.examples.twitter - package org.apache.flink.streaming.examples.twitter
 
org.apache.flink.streaming.examples.twitter.util - package org.apache.flink.streaming.examples.twitter.util
 
org.apache.flink.streaming.examples.windowing - package org.apache.flink.streaming.examples.windowing
 
org.apache.flink.streaming.examples.windowing.util - package org.apache.flink.streaming.examples.windowing.util
 
org.apache.flink.streaming.examples.wordcount - package org.apache.flink.streaming.examples.wordcount
 
OutputMap() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.OutputMap
 

P

PartialModelBuilder() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.PartialModelBuilder
 
PojoExample - Class in org.apache.flink.streaming.examples.wordcount
This example shows an implementation of WordCount without using the Tuple2 type, but a custom class.
PojoExample() - Constructor for class org.apache.flink.streaming.examples.wordcount.PojoExample
 
PojoExample.Tokenizer - Class in org.apache.flink.streaming.examples.wordcount
Implements the string tokenizer that splits sentences into words as a user-defined FlatMapFunction.
PojoExample.Word - Class in org.apache.flink.streaming.examples.wordcount
This is the POJO (Plain Old Java Object) that is being used for all the operations.
predict(Integer) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.Predictor
 
Predictor() - Constructor for class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.Predictor
 

R

RESULTS - Static variable in class org.apache.flink.streaming.examples.iteration.util.IterateExampleData
 
RESULTS - Static variable in class org.apache.flink.streaming.examples.ml.util.IncrementalLearningSkeletonData
 
run(SourceFunction.SourceContext<Tuple2<String, Integer>>) - Method in class org.apache.flink.streaming.examples.join.WindowJoin.GradeSource
 
run(SourceFunction.SourceContext<Tuple2<String, Integer>>) - Method in class org.apache.flink.streaming.examples.join.WindowJoin.SalarySource
 
run(SourceFunction.SourceContext<Integer>) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteNewDataSource
 
run(SourceFunction.SourceContext<Integer>) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.FiniteTrainingDataSource
 

S

SALARIES_INPUT - Static variable in class org.apache.flink.streaming.examples.join.util.WindowJoinData
 
SalarySource() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin.SalarySource
 
select(Tuple5<Integer, Integer, Integer, Integer, Integer>) - Method in class org.apache.flink.streaming.examples.iteration.IterateExample.MySelector
 
SelectEnglishAndTokenizeFlatMap() - Constructor for class org.apache.flink.streaming.examples.twitter.TwitterStream.SelectEnglishAndTokenizeFlatMap
 
SessionWindowing - Class in org.apache.flink.streaming.examples.windowing
 
SessionWindowing() - Constructor for class org.apache.flink.streaming.examples.windowing.SessionWindowing
 
SessionWindowingData - Class in org.apache.flink.streaming.examples.windowing.util
 
setFrequency(Integer) - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
setWord(String) - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
SocketTextStreamWordCount - Class in org.apache.flink.streaming.examples.socket
This example shows an implementation of WordCount with data from a text socket.
SocketTextStreamWordCount() - Constructor for class org.apache.flink.streaming.examples.socket.SocketTextStreamWordCount
 
Step() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.Step
 
STREAMING_COUNTS_AS_TUPLES - Static variable in class org.apache.flink.streaming.examples.twitter.util.TwitterStreamData
 

T

TEXTS - Static variable in class org.apache.flink.streaming.examples.twitter.util.TwitterStreamData
 
Tokenizer() - Constructor for class org.apache.flink.streaming.examples.wordcount.PojoExample.Tokenizer
 
Tokenizer() - Constructor for class org.apache.flink.streaming.examples.wordcount.WordCount.Tokenizer
 
TOP_CASE_CLASS_SPEEDS - Static variable in class org.apache.flink.streaming.examples.windowing.util.TopSpeedWindowingExampleData
 
TOP_SPEEDS - Static variable in class org.apache.flink.streaming.examples.windowing.util.TopSpeedWindowingExampleData
 
TopSpeedWindowing - Class in org.apache.flink.streaming.examples.windowing
An example of grouped stream windowing where different eviction and trigger policies can be used.
TopSpeedWindowing() - Constructor for class org.apache.flink.streaming.examples.windowing.TopSpeedWindowing
 
TopSpeedWindowingExampleData - Class in org.apache.flink.streaming.examples.windowing.util
 
toString() - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
TwitterStream - Class in org.apache.flink.streaming.examples.twitter
Implements the "TwitterStream" program that computes a most used word occurrence over JSON files in a streaming fashion.
TwitterStream() - Constructor for class org.apache.flink.streaming.examples.twitter.TwitterStream
 
TwitterStream.SelectEnglishAndTokenizeFlatMap - Class in org.apache.flink.streaming.examples.twitter
Makes sentences from English tweets.
TwitterStreamData - Class in org.apache.flink.streaming.examples.twitter.util
 

W

WindowJoin - Class in org.apache.flink.streaming.examples.join
Example illustrating join over sliding windows of streams in Flink.
WindowJoin() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin
 
WindowJoin.GradeSource - Class in org.apache.flink.streaming.examples.join
Continuously emit tuples with random names and integers (grades).
WindowJoin.MyJoinFunction - Class in org.apache.flink.streaming.examples.join
 
WindowJoin.MySourceMap - Class in org.apache.flink.streaming.examples.join
 
WindowJoin.MyTimestamp - Class in org.apache.flink.streaming.examples.join
 
WindowJoin.SalarySource - Class in org.apache.flink.streaming.examples.join
Continuously emit tuples with random names and integers (salaries).
WindowJoinData - Class in org.apache.flink.streaming.examples.join.util
 
WindowWordCount - Class in org.apache.flink.streaming.examples.windowing
Implements a windowed version of the streaming "WordCount" program.
WindowWordCount() - Constructor for class org.apache.flink.streaming.examples.windowing.WindowWordCount
 
Word() - Constructor for class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
Word(String, int) - Constructor for class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
WordCount - Class in org.apache.flink.streaming.examples.wordcount
Implements the "WordCount" program that computes a simple word occurrence histogram over text files in a streaming fashion.
WordCount() - Constructor for class org.apache.flink.streaming.examples.wordcount.WordCount
 
WordCount.Tokenizer - Class in org.apache.flink.streaming.examples.wordcount
Implements the string tokenizer that splits sentences into words as a user-defined FlatMapFunction.
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