public static void main(String[] args) throws Exception {
if (args.length != 2) {
System.err.println("Usage: JavaWordCount <input_file> <output_file>");
System.exit(1);
}
SparkConf sparkConf = new SparkConf().setAppName("JavaWordCount");
JavaSparkContext ctx = new JavaSparkContext(sparkConf);
JavaRDD<String> lines = ctx.textFile(args[0], 1);
JavaRDD<String> words =
lines.flatMap(
new FlatMapFunction<String, String>() {
@Override
public Iterator<String> call(String s) {
return Arrays.asList(SPACE.split(s)).iterator();
}
});
JavaPairRDD<String, Integer> ones =
words.mapToPair(
new PairFunction<String, String, Integer>() {
@Override
public Tuple2<String, Integer> call(String s) {
return new Tuple2<String, Integer>(s, 1);
}
});
JavaPairRDD<String, Integer> counts =
ones.reduceByKey(
new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer i1, Integer i2) {
return i1 + i2;
}
});
/*
List<Tuple2<String, Integer>> output = counts.collect();
for (Tuple2<?,?> tuple : output) {
System.out.println(tuple._1() + ": " + tuple._2());
}
*/
counts.saveAsTextFile(args[1]);
ctx.stop();
}
public static void wordCountJava8(String filename) {
// Define a configuration to use to interact with Spark
SparkConf conf = new SparkConf().setMaster("local").setAppName("Work Count App");
// Create a Java version of the Spark Context from the configuration
JavaSparkContext sc = new JavaSparkContext(conf);
// Load the input data, which is a text file read from the command line
JavaRDD<String> input = sc.textFile(filename);
// Java 8 with lambdas: split the input string into words
JavaRDD<String> words = input.flatMap(s -> Arrays.asList(s.split(" ")));
// Java 8 with lambdas: transform the collection of words into pairs (word and 1) and then count
// them
JavaPairRDD<String, Integer> counts =
words.mapToPair(t -> new Tuple2(t, 1)).reduceByKey((x, y) -> (int) x + (int) y);
// Save the word count back out to a text file, causing evaluation.
counts.saveAsTextFile("output");
}
public static void main(String[] args) throws IOException {
Parameters param = new Parameters();
long initTime = System.currentTimeMillis();
SparkConf conf = new SparkConf().setAppName("StarJoin");
JavaSparkContext sc = new JavaSparkContext(conf);
if (param.useKryo) {
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.set("spark.kryo.registrator", MyBloomFilter.BloomFilterRegistrator.class.getName());
conf.set("spark.kryoserializer.buffer.mb", param.buffer);
}
MyBloomFilter.BloomFilter<String> BFS =
new MyBloomFilter.BloomFilter(1.0, param.bitsS, param.hashes);
MyBloomFilter.BloomFilter<String> BFD =
new MyBloomFilter.BloomFilter(1.0, param.bitsD, param.hashes);
MyBloomFilter.BloomFilter<String> BFC =
new MyBloomFilter.BloomFilter(1.0, param.bitsC, param.hashes);
JavaPairRDD<String, String> supps =
sc.textFile(param.suppPath)
.map(
new Function<String, String[]>() {
public String[] call(String line) {
return line.split("\\|");
}
})
.filter(
new Function<String[], Boolean>() {
public Boolean call(String[] s) {
return s[3].equals("UNITED KI1") | s[3].equals("UNITED KI5");
}
})
.mapToPair(
new PairFunction<String[], String, String>() {
public Tuple2<String, String> call(String[] s) {
return new Tuple2<String, String>(s[0], s[3]);
}
});
List<Tuple2<String, String>> s = supps.collect();
for (int i = 0; i < s.size(); i++) {
BFS.add(s.get(i)._1);
}
final Broadcast<MyBloomFilter.BloomFilter<String>> varS = sc.broadcast(BFS);
JavaPairRDD<String, String> custs =
sc.textFile(param.custPath)
.map(
new Function<String, String[]>() {
public String[] call(String line) {
return line.split("\\|");
}
})
.filter(
new Function<String[], Boolean>() {
public Boolean call(String[] s) {
return s[3].equals("UNITED KI1") | s[3].equals("UNITED KI5");
}
})
.mapToPair(
new PairFunction<String[], String, String>() {
public Tuple2<String, String> call(String[] s) {
return new Tuple2<String, String>(s[0], s[3]);
}
});
List<Tuple2<String, String>> c = custs.collect();
for (int i = 0; i < c.size(); i++) {
BFC.add(c.get(i)._1);
}
final Broadcast<MyBloomFilter.BloomFilter<String>> varC = sc.broadcast(BFC);
JavaPairRDD<String, String> dates =
sc.textFile(param.datePath)
.map(
new Function<String, String[]>() {
public String[] call(String line) {
return line.split("\\|");
}
})
.filter(
new Function<String[], Boolean>() {
public Boolean call(String[] s) {
return s[6].equals("Dec1997");
}
})
.mapToPair(
new PairFunction<String[], String, String>() {
public Tuple2<String, String> call(String[] s) {
return new Tuple2<String, String>(s[0], s[4]);
}
});
List<Tuple2<String, String>> d = dates.collect();
for (int i = 0; i < d.size(); i++) {
BFD.add(d.get(i)._1);
}
final Broadcast<MyBloomFilter.BloomFilter<String>> varD = sc.broadcast(BFD);
JavaPairRDD<String, String[]> lines =
sc.textFile(param.linePath)
.map(
new Function<String, String[]>() {
public String[] call(String line) {
return line.split("\\|");
}
})
.filter(
new Function<String[], Boolean>() {
public Boolean call(String[] s) {
return varC.value().contains(s[2].getBytes())
& varS.value().contains(s[4].getBytes())
& varD.value().contains(s[5].getBytes());
}
})
.mapToPair(
new PairFunction<String[], String, String[]>() {
public Tuple2<String, String[]> call(String[] s) {
String[] v = {s[2], s[5], s[12]};
return new Tuple2<String, String[]>(s[4], v);
}
});
JavaPairRDD<String, String[]> result =
lines
.join(supps)
.mapToPair(
new PairFunction<Tuple2<String, Tuple2<String[], String>>, String, String[]>() {
public Tuple2<String, String[]> call(Tuple2<String, Tuple2<String[], String>> s) {
String[] v = {s._2._1[1], s._2._1[2], s._2._2};
return new Tuple2<String, String[]>(s._2._1[0], v);
}
});
result =
result
.join(custs)
.mapToPair(
new PairFunction<Tuple2<String, Tuple2<String[], String>>, String, String[]>() {
public Tuple2<String, String[]> call(Tuple2<String, Tuple2<String[], String>> s) {
String[] v = {s._2._1[1], s._2._1[2], s._2._2};
return new Tuple2<String, String[]>(s._2._1[0], v);
}
});
JavaPairRDD<String, Long> final_result =
result
.join(dates)
.mapToPair(
new PairFunction<Tuple2<String, Tuple2<String[], String>>, String, Long>() {
public Tuple2<String, Long> call(Tuple2<String, Tuple2<String[], String>> s) {
return new Tuple2<String, Long>(
s._2._1[2] + "," + s._2._1[1] + "," + s._2._2, Long.parseLong(s._2._1[0]));
}
})
.reduceByKey(
new Function2<Long, Long, Long>() {
public Long call(Long i1, Long i2) {
return i1 + i2;
}
});
JavaPairRDD<String, String> sub_result =
final_result.mapToPair(
new PairFunction<Tuple2<String, Long>, String, String>() {
public Tuple2<String, String> call(Tuple2<String, Long> line) {
return new Tuple2(line._1 + "," + line._2.toString(), null);
}
});
final_result =
sub_result
.sortByKey(new Q3Comparator())
.mapToPair(
new PairFunction<Tuple2<String, String>, String, Long>() {
public Tuple2<String, Long> call(Tuple2<String, String> line) {
String[] s = line._1.split(",");
return new Tuple2<String, Long>(
s[0] + "," + s[1] + "," + s[2], Long.parseLong(s[3]));
}
});
Configuration HDFSconf = new Configuration();
FileSystem fs = FileSystem.get(HDFSconf);
fs.delete(new Path(param.output), true);
final_result.saveAsTextFile(param.output);
long finalTime = System.currentTimeMillis();
System.out.print("Tempo total(ms): ");
System.out.println(finalTime - initTime);
sc.close();
}