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A

apply(TimeWindow, Iterable<Integer>, Collector<Double[]>) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.PartialModelBuilder
 
apply(Long, Window, Iterable<Tuple2<Long, Long>>, Collector<Tuple2<Long, Long>>) - Method in class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample.SummingWindowFunction
 

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.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
 
checkAndGetNextWatermark(Integer, long) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.LinearTimestamp
 
count - Variable in class org.apache.flink.streaming.examples.socket.SocketWindowWordCount.WordWithCount
 

E

EXPECTED - Static variable in class org.apache.flink.streaming.examples.windowing.util.SessionWindowingData
 
extractTimestamp(Integer, long) - Method in class org.apache.flink.streaming.examples.ml.IncrementalLearningSkeleton.LinearTimestamp
 

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
 
FirstFieldKeyExtractor() - Constructor for class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample.FirstFieldKeyExtractor
 
flatMap(String, Collector<Tuple2<String, Integer>>) - Method in class org.apache.flink.streaming.examples.twitter.TwitterExample.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
 
getKey(Type) - Method in class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample.FirstFieldKeyExtractor
 
getSource(StreamExecutionEnvironment, long) - Static method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.GradeSource
 
getSource(StreamExecutionEnvironment, long) - Static method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.SalarySource
 
getWord() - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
GradeSource() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoinSampleData.GradeSource
 
GroupedProcessingTimeWindowExample - Class in org.apache.flink.streaming.examples.windowing
 
GroupedProcessingTimeWindowExample() - Constructor for class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample
 
GroupedProcessingTimeWindowExample.FirstFieldKeyExtractor<Type extends org.apache.flink.api.java.tuple.Tuple,Key> - Class in org.apache.flink.streaming.examples.windowing
 
GroupedProcessingTimeWindowExample.SummingReducer - Class in org.apache.flink.streaming.examples.windowing
 
GroupedProcessingTimeWindowExample.SummingWindowFunction - Class in org.apache.flink.streaming.examples.windowing
 

H

hasNext() - Method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.GradeSource
 
hasNext() - Method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.SalarySource
 
hasNext() - Method in class org.apache.flink.streaming.examples.utils.ThrottledIterator
 

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
 

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.kafka.ReadFromKafka
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.kafka.WriteIntoKafka
 
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.SocketWindowWordCount
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.twitter.TwitterExample
 
main(String[]) - Static method in class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample
 
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
 
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
 
MySelector() - Constructor for class org.apache.flink.streaming.examples.iteration.IterateExample.MySelector
 

N

next() - Method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.GradeSource
 
next() - Method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.SalarySource
 
next() - Method in class org.apache.flink.streaming.examples.utils.ThrottledIterator
 

O

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.kafka - package org.apache.flink.streaming.examples.kafka
 
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.utils - package org.apache.flink.streaming.examples.utils
 
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

ReadFromKafka - Class in org.apache.flink.streaming.examples.kafka
Read Strings from Kafka and print them to standard out.
ReadFromKafka() - Constructor for class org.apache.flink.streaming.examples.kafka.ReadFromKafka
 
reduce(Tuple2<Long, Long>, Tuple2<Long, Long>) - Method in class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample.SummingReducer
 
remove() - Method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.GradeSource
 
remove() - Method in class org.apache.flink.streaming.examples.join.WindowJoinSampleData.SalarySource
 
remove() - Method in class org.apache.flink.streaming.examples.utils.ThrottledIterator
 
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<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
 
runWindowJoin(DataStream<Tuple2<String, Integer>>, DataStream<Tuple2<String, Integer>>, long) - Static method in class org.apache.flink.streaming.examples.join.WindowJoin
 

S

SalarySource() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoinSampleData.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.TwitterExample.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
 
SocketWindowWordCount - Class in org.apache.flink.streaming.examples.socket
Implements a streaming windowed version of the "WordCount" program.
SocketWindowWordCount() - Constructor for class org.apache.flink.streaming.examples.socket.SocketWindowWordCount
 
SocketWindowWordCount.WordWithCount - Class in org.apache.flink.streaming.examples.socket
Data type for words with count
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.TwitterExampleData
 
SummingReducer() - Constructor for class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample.SummingReducer
 
SummingWindowFunction() - Constructor for class org.apache.flink.streaming.examples.windowing.GroupedProcessingTimeWindowExample.SummingWindowFunction
 

T

TEXTS - Static variable in class org.apache.flink.streaming.examples.twitter.util.TwitterExampleData
 
ThrottledIterator<T> - Class in org.apache.flink.streaming.examples.utils
A variant of the collection source (emits a sequence of elements as a stream) that supports throttling the emission rate.
ThrottledIterator(Iterator<T>, long) - Constructor for class org.apache.flink.streaming.examples.utils.ThrottledIterator
 
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.socket.SocketWindowWordCount.WordWithCount
 
toString() - Method in class org.apache.flink.streaming.examples.wordcount.PojoExample.Word
 
TwitterExample - Class in org.apache.flink.streaming.examples.twitter
Implements the "TwitterStream" program that computes a most used word occurrence over JSON objects in a streaming fashion.
TwitterExample() - Constructor for class org.apache.flink.streaming.examples.twitter.TwitterExample
 
TwitterExample.SelectEnglishAndTokenizeFlatMap - Class in org.apache.flink.streaming.examples.twitter
Deserialize JSON from twitter source
TwitterExampleData - Class in org.apache.flink.streaming.examples.twitter.util
 

W

WindowJoin - Class in org.apache.flink.streaming.examples.join
Example illustrating a windowed stream join between two data streams.
WindowJoin() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoin
 
WindowJoinSampleData - Class in org.apache.flink.streaming.examples.join
Sample data for the WindowJoin example.
WindowJoinSampleData() - Constructor for class org.apache.flink.streaming.examples.join.WindowJoinSampleData
 
WindowJoinSampleData.GradeSource - Class in org.apache.flink.streaming.examples.join
Continuously generates (name, grade).
WindowJoinSampleData.SalarySource - Class in org.apache.flink.streaming.examples.join
Continuously generates (name, salary).
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 - Variable in class org.apache.flink.streaming.examples.socket.SocketWindowWordCount.WordWithCount
 
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.
WordWithCount() - Constructor for class org.apache.flink.streaming.examples.socket.SocketWindowWordCount.WordWithCount
 
WordWithCount(String, long) - Constructor for class org.apache.flink.streaming.examples.socket.SocketWindowWordCount.WordWithCount
 
WriteIntoKafka - Class in org.apache.flink.streaming.examples.kafka
Generate a String every 500 ms and write it into a Kafka topic Please pass the following arguments to run the example: --topic test --bootstrap.servers localhost:9092
WriteIntoKafka() - Constructor for class org.apache.flink.streaming.examples.kafka.WriteIntoKafka
 
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