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Basic scaffold 

Generate, read, means, write all the points
This commit is contained in:
Geoffrey Frogeye 2019-01-23 23:14:35 +01:00
parent e763a7611b
commit de6a881428
7 changed files with 90 additions and 131 deletions
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3
.gitignore vendored
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@ -33,3 +33,6 @@ dependency-reduced-pom.xml
buildNumber.properties
.mvn/timing.properties
.mvn/wrapper/maven-wrapper.jar
# This project
*.csv

24
README.md Normal file
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@ -0,0 +1,24 @@
# Usage
Compile job data
```shell
mvn package
```
Generate vectors to cluster
```shell
./genVectors.py $DIMENSION $NUMBER > $FILE
```
(example: `./genVectors.py 2 15 > myInput.csv`)
Run
```shell
flink run target/project-*.jar --input $INPUT --output $OUTPUT
```

12
genVectors.py Executable file
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@ -0,0 +1,12 @@
#!/usr/bin/env python3
import random
import sys
random.seed(0)
D = int(sys.argv[1]) # Number of dimensions
N = int(sys.argv[2]) # Number of vectors
for _ in range(N):
print(','.join([str(random.random()) for _ in range(D)]))

2
pom.xml
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@ -144,7 +144,7 @@ under the License.
</filters>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>it.polimi.middleware.projects.flink.StreamingJob</mainClass>
<mainClass>it.polimi.middleware.projects.flink.KMeans</mainClass>
</transformer>
</transformers>
</configuration>

66
src/main/java/it/polimi/middleware/projects/flink/BatchJob.java
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@ -1,66 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package it.polimi.middleware.projects.flink;
import org.apache.flink.api.java.ExecutionEnvironment;
/**
* Skeleton for a Flink Batch Job.
*
* <p>For a tutorial how to write a Flink batch application, check the
* tutorials and examples on the <a href="http://flink.apache.org/docs/stable/">Flink Website</a>.
*
* <p>To package your application into a JAR file for execution,
* change the main class in the POM.xml file to this class (simply search for 'mainClass')
* and run 'mvn clean package' on the command line.
*/
public class BatchJob {
public static void main(String[] args) throws Exception {
// set up the batch execution environment
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
/*
* Here, you can start creating your execution plan for Flink.
*
* Start with getting some data from the environment, like
* env.readTextFile(textPath);
*
* then, transform the resulting DataSet<String> using operations
* like
* .filter()
* .flatMap()
* .join()
* .coGroup()
*
* and many more.
* Have a look at the programming guide for the Java API:
*
* http://flink.apache.org/docs/latest/apis/batch/index.html
*
* and the examples
*
* http://flink.apache.org/docs/latest/apis/batch/examples.html
*
*/
// execute program
env.execute("Flink Batch Java API Skeleton");
}
}

50
src/main/java/it/polimi/middleware/projects/flink/KMeans.java Normal file
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@ -0,0 +1,50 @@
package it.polimi.middleware.projects.flink;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.typeinfo.TypeHint;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.tuple.Tuple1;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.utils.ParameterTool;
public class KMeans {
public static void main(String[] args) throws Exception {
final ParameterTool params = ParameterTool.fromArgs(args);
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
// Read CSV input
DataSet<Tuple1<Double>> csvInput = env.readCsvFile(params.get("input")).types(Double.class);
// Convert CSV to internal format
DataSet<Double> input = csvInput
.map(point -> point.f0);
// DEBUG Means all the points
DataSet<Tuple1<Double>> mean = input
.map(new MapFunction<Double, Tuple2<Double, Integer>>() {
public Tuple2<Double, Integer> map(Double value) {
return new Tuple2<Double, Integer>(value, 1);
}
})
.reduce(new ReduceFunction<Tuple2<Double, Integer>>() {
public Tuple2<Double, Integer> reduce(Tuple2<Double, Integer> a, Tuple2<Double, Integer> b) {
return new Tuple2<Double, Integer>(a.f0 + b.f0, a.f1 + b.f1);
}
})
.map(new MapFunction<Tuple2<Double, Integer>, Tuple1<Double>>() {
public Tuple1<Double> map(Tuple2<Double, Integer> value) {
return new Tuple1<Double>(value.f0 / value.f1);
}
});
mean.writeAsCsv(params.get("output", "output.csv"));
env.execute("K-Means clustering");
}
}

64
src/main/java/it/polimi/middleware/projects/flink/StreamingJob.java
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@ -1,64 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package it.polimi.middleware.projects.flink;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
/**
* Skeleton for a Flink Streaming Job.
*
* <p>For a tutorial how to write a Flink streaming application, check the
* tutorials and examples on the <a href="http://flink.apache.org/docs/stable/">Flink Website</a>.
*
* <p>To package your application into a JAR file for execution, run
* 'mvn clean package' on the command line.
*
* <p>If you change the name of the main class (with the public static void main(String[] args))
* method, change the respective entry in the POM.xml file (simply search for 'mainClass').
*/
public class StreamingJob {
public static void main(String[] args) throws Exception {
// set up the streaming execution environment
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
/*
* Here, you can start creating your execution plan for Flink.
*
* Start with getting some data from the environment, like
* env.readTextFile(textPath);
*
* then, transform the resulting DataStream<String> using operations
* like
* .filter()
* .flatMap()
* .join()
* .coGroup()
*
* and many more.
* Have a look at the programming guide for the Java API:
*
* http://flink.apache.org/docs/latest/apis/streaming/index.html
*
*/
// execute program
env.execute("Flink Streaming Java API Skeleton");
}
}