org.apache.spark.examples.JavaLogQuery Maven / Gradle / Ivy
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* 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;
import com.google.common.collect.Lists;
import scala.Tuple2;
import scala.Tuple3;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import java.io.Serializable;
import java.util.Collections;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
/**
* Executes a roll up-style query against Apache logs.
*/
public final class JavaLogQuery {
public static final List exampleApacheLogs = Lists.newArrayList(
"10.10.10.10 - \"FRED\" [18/Jan/2013:17:56:07 +1100] \"GET http://images.com/2013/Generic.jpg " +
"HTTP/1.1\" 304 315 \"http://referall.com/\" \"Mozilla/4.0 (compatible; MSIE 7.0; " +
"Windows NT 5.1; GTB7.4; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; " +
".NET CLR 3.5.21022; .NET CLR 3.0.4506.2152; .NET CLR 1.0.3705; .NET CLR 1.1.4322; .NET CLR " +
"3.5.30729; Release=ARP)\" \"UD-1\" - \"image/jpeg\" \"whatever\" 0.350 \"-\" - \"\" 265 923 934 \"\" " +
"62.24.11.25 images.com 1358492167 - Whatup",
"10.10.10.10 - \"FRED\" [18/Jan/2013:18:02:37 +1100] \"GET http://images.com/2013/Generic.jpg " +
"HTTP/1.1\" 304 306 \"http:/referall.com\" \"Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; " +
"GTB7.4; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30; .NET CLR 3.0.04506.648; .NET CLR " +
"3.5.21022; .NET CLR 3.0.4506.2152; .NET CLR 1.0.3705; .NET CLR 1.1.4322; .NET CLR " +
"3.5.30729; Release=ARP)\" \"UD-1\" - \"image/jpeg\" \"whatever\" 0.352 \"-\" - \"\" 256 977 988 \"\" " +
"0 73.23.2.15 images.com 1358492557 - Whatup");
public static final Pattern apacheLogRegex = Pattern.compile(
"^([\\d.]+) (\\S+) (\\S+) \\[([\\w\\d:/]+\\s[+\\-]\\d{4})\\] \"(.+?)\" (\\d{3}) ([\\d\\-]+) \"([^\"]+)\" \"([^\"]+)\".*");
/** Tracks the total query count and number of aggregate bytes for a particular group. */
public static class Stats implements Serializable {
private final int count;
private final int numBytes;
public Stats(int count, int numBytes) {
this.count = count;
this.numBytes = numBytes;
}
public Stats merge(Stats other) {
return new Stats(count + other.count, numBytes + other.numBytes);
}
public String toString() {
return String.format("bytes=%s\tn=%s", numBytes, count);
}
}
public static Tuple3 extractKey(String line) {
Matcher m = apacheLogRegex.matcher(line);
List key = Collections.emptyList();
if (m.find()) {
String ip = m.group(1);
String user = m.group(3);
String query = m.group(5);
if (!user.equalsIgnoreCase("-")) {
return new Tuple3(ip, user, query);
}
}
return new Tuple3(null, null, null);
}
public static Stats extractStats(String line) {
Matcher m = apacheLogRegex.matcher(line);
if (m.find()) {
int bytes = Integer.parseInt(m.group(7));
return new Stats(1, bytes);
} else {
return new Stats(1, 0);
}
}
public static void main(String[] args) {
if (args.length == 0) {
System.err.println("Usage: JavaLogQuery [logFile]");
System.exit(1);
}
JavaSparkContext jsc = new JavaSparkContext(args[0], "JavaLogQuery",
System.getenv("SPARK_HOME"), JavaSparkContext.jarOfClass(JavaLogQuery.class));
JavaRDD dataSet = (args.length == 2) ? jsc.textFile(args[1]) : jsc.parallelize(exampleApacheLogs);
JavaPairRDD, Stats> extracted = dataSet.map(new PairFunction, Stats>() {
@Override
public Tuple2, Stats> call(String s) {
return new Tuple2, Stats>(extractKey(s), extractStats(s));
}
});
JavaPairRDD, Stats> counts = extracted.reduceByKey(new Function2() {
@Override
public Stats call(Stats stats, Stats stats2) {
return stats.merge(stats2);
}
});
List, Stats>> output = counts.collect();
for (Tuple2,?> t : output) {
System.out.println(t._1() + "\t" + t._2());
}
System.exit(0);
}
}