spark JavaStreamingTestExample 源码
spark JavaStreamingTestExample 代码
文件路径:/examples/src/main/java/org/apache/spark/examples/mllib/JavaStreamingTestExample.java
/*
* 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 org.apache.spark.examples.mllib;
// $example on$
import org.apache.spark.mllib.stat.test.BinarySample;
import org.apache.spark.mllib.stat.test.StreamingTest;
import org.apache.spark.mllib.stat.test.StreamingTestResult;
// $example off$
import org.apache.spark.SparkConf;
import org.apache.spark.streaming.Duration;
import org.apache.spark.streaming.Seconds;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.util.Utils;
/**
* Perform streaming testing using Welch's 2-sample t-test on a stream of data, where the data
* stream arrives as text files in a directory. Stops when the two groups are statistically
* significant (p-value < 0.05) or after a user-specified timeout in number of batches is exceeded.
*
* The rows of the text files must be in the form `Boolean, Double`. For example:
* false, -3.92
* true, 99.32
*
* Usage:
* JavaStreamingTestExample <dataDir> <batchDuration> <numBatchesTimeout>
*
* To run on your local machine using the directory `dataDir` with 5 seconds between each batch and
* a timeout after 100 insignificant batches, call:
* $ bin/run-example mllib.JavaStreamingTestExample dataDir 5 100
*
* As you add text files to `dataDir` the significance test wil continually update every
* `batchDuration` seconds until the test becomes significant (p-value < 0.05) or the number of
* batches processed exceeds `numBatchesTimeout`.
*/
public class JavaStreamingTestExample {
private static int timeoutCounter = 0;
public static void main(String[] args) throws Exception {
if (args.length != 3) {
System.err.println("Usage: JavaStreamingTestExample " +
"<dataDir> <batchDuration> <numBatchesTimeout>");
System.exit(1);
}
String dataDir = args[0];
Duration batchDuration = Seconds.apply(Long.parseLong(args[1]));
int numBatchesTimeout = Integer.parseInt(args[2]);
SparkConf conf = new SparkConf().setMaster("local").setAppName("StreamingTestExample");
JavaStreamingContext ssc = new JavaStreamingContext(conf, batchDuration);
ssc.checkpoint(Utils.createTempDir(System.getProperty("java.io.tmpdir"), "spark").toString());
// $example on$
JavaDStream<BinarySample> data = ssc.textFileStream(dataDir).map(line -> {
String[] ts = line.split(",");
boolean label = Boolean.parseBoolean(ts[0]);
double value = Double.parseDouble(ts[1]);
return new BinarySample(label, value);
});
StreamingTest streamingTest = new StreamingTest()
.setPeacePeriod(0)
.setWindowSize(0)
.setTestMethod("welch");
JavaDStream<StreamingTestResult> out = streamingTest.registerStream(data);
out.print();
// $example off$
// Stop processing if test becomes significant or we time out
timeoutCounter = numBatchesTimeout;
out.foreachRDD(rdd -> {
timeoutCounter -= 1;
boolean anySignificant = !rdd.filter(v -> v.pValue() < 0.05).isEmpty();
if (timeoutCounter <= 0 || anySignificant) {
rdd.context().stop();
}
});
ssc.start();
ssc.awaitTermination();
}
}
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