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package spark;
import com.google.common.base.Charsets;
import com.google.common.io.Files;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.SequenceFileInputFormat;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.hadoop.mapreduce.Job;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import scala.Tuple2;
import spark.api.java.JavaDoubleRDD;
import spark.api.java.JavaPairRDD;
import spark.api.java.JavaRDD;
import spark.api.java.JavaSparkContext;
import spark.api.java.function.*;
import spark.partial.BoundedDouble;
import spark.partial.PartialResult;
import spark.storage.StorageLevel;
import spark.util.StatCounter;
import java.io.File;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
// The test suite itself is Serializable so that anonymous Function implementations can be
// serialized, as an alternative to converting these anonymous classes to static inner classes;
// see http://stackoverflow.com/questions/758570/.
public class JavaAPISuite implements Serializable {
private transient JavaSparkContext sc;
@Before
public void setUp() {
sc = new JavaSparkContext("local", "JavaAPISuite");
}
@After
public void tearDown() {
sc.stop();
sc = null;
}
static class ReverseIntComparator implements Comparator<Integer>, Serializable {
@Override
public int compare(Integer a, Integer b) {
if (a > b) return -1;
else if (a < b) return 1;
else return 0;
}
};
@Test
public void sparkContextUnion() {
// Union of non-specialized JavaRDDs
List<String> strings = Arrays.asList("Hello", "World");
JavaRDD<String> s1 = sc.parallelize(strings);
JavaRDD<String> s2 = sc.parallelize(strings);
// Varargs
JavaRDD<String> sUnion = sc.union(s1, s2);
Assert.assertEquals(4, sUnion.count());
// List
List<JavaRDD<String>> list = new ArrayList<JavaRDD<String>>();
list.add(s2);
sUnion = sc.union(s1, list);
Assert.assertEquals(4, sUnion.count());
// Union of JavaDoubleRDDs
List<Double> doubles = Arrays.asList(1.0, 2.0);
JavaDoubleRDD d1 = sc.parallelizeDoubles(doubles);
JavaDoubleRDD d2 = sc.parallelizeDoubles(doubles);
JavaDoubleRDD dUnion = sc.union(d1, d2);
Assert.assertEquals(4, dUnion.count());
// Union of JavaPairRDDs
List<Tuple2<Integer, Integer>> pairs = new ArrayList<Tuple2<Integer, Integer>>();
pairs.add(new Tuple2<Integer, Integer>(1, 2));
pairs.add(new Tuple2<Integer, Integer>(3, 4));
JavaPairRDD<Integer, Integer> p1 = sc.parallelizePairs(pairs);
JavaPairRDD<Integer, Integer> p2 = sc.parallelizePairs(pairs);
JavaPairRDD<Integer, Integer> pUnion = sc.union(p1, p2);
Assert.assertEquals(4, pUnion.count());
}
@Test
public void sortByKey() {
List<Tuple2<Integer, Integer>> pairs = new ArrayList<Tuple2<Integer, Integer>>();
pairs.add(new Tuple2<Integer, Integer>(0, 4));
pairs.add(new Tuple2<Integer, Integer>(3, 2));
pairs.add(new Tuple2<Integer, Integer>(-1, 1));
JavaPairRDD<Integer, Integer> rdd = sc.parallelizePairs(pairs);
// Default comparator
JavaPairRDD<Integer, Integer> sortedRDD = rdd.sortByKey();
Assert.assertEquals(new Tuple2<Integer, Integer>(-1, 1), sortedRDD.first());
List<Tuple2<Integer, Integer>> sortedPairs = sortedRDD.collect();
Assert.assertEquals(new Tuple2<Integer, Integer>(0, 4), sortedPairs.get(1));
Assert.assertEquals(new Tuple2<Integer, Integer>(3, 2), sortedPairs.get(2));
// Custom comparator
sortedRDD = rdd.sortByKey(new ReverseIntComparator(), false);
Assert.assertEquals(new Tuple2<Integer, Integer>(-1, 1), sortedRDD.first());
sortedPairs = sortedRDD.collect();
Assert.assertEquals(new Tuple2<Integer, Integer>(0, 4), sortedPairs.get(1));
Assert.assertEquals(new Tuple2<Integer, Integer>(3, 2), sortedPairs.get(2));
}
static int foreachCalls = 0;
@Test
public void foreach() {
foreachCalls = 0;
JavaRDD<String> rdd = sc.parallelize(Arrays.asList("Hello", "World"));
rdd.foreach(new VoidFunction<String>() {
@Override
public void call(String s) {
foreachCalls++;
}
});
Assert.assertEquals(2, foreachCalls);
}
@Test
public void groupBy() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 1, 2, 3, 5, 8, 13));
Function<Integer, Boolean> isOdd = new Function<Integer, Boolean>() {
@Override
public Boolean call(Integer x) {
return x % 2 == 0;
}
};
JavaPairRDD<Boolean, List<Integer>> oddsAndEvens = rdd.groupBy(isOdd);
Assert.assertEquals(2, oddsAndEvens.count());
Assert.assertEquals(2, oddsAndEvens.lookup(true).get(0).size()); // Evens
Assert.assertEquals(5, oddsAndEvens.lookup(false).get(0).size()); // Odds
oddsAndEvens = rdd.groupBy(isOdd, 1);
Assert.assertEquals(2, oddsAndEvens.count());
Assert.assertEquals(2, oddsAndEvens.lookup(true).get(0).size()); // Evens
Assert.assertEquals(5, oddsAndEvens.lookup(false).get(0).size()); // Odds
}
@Test
public void cogroup() {
JavaPairRDD<String, String> categories = sc.parallelizePairs(Arrays.asList(
new Tuple2<String, String>("Apples", "Fruit"),
new Tuple2<String, String>("Oranges", "Fruit"),
new Tuple2<String, String>("Oranges", "Citrus")
));
JavaPairRDD<String, Integer> prices = sc.parallelizePairs(Arrays.asList(
new Tuple2<String, Integer>("Oranges", 2),
new Tuple2<String, Integer>("Apples", 3)
));
JavaPairRDD<String, Tuple2<List<String>, List<Integer>>> cogrouped = categories.cogroup(prices);
Assert.assertEquals("[Fruit, Citrus]", cogrouped.lookup("Oranges").get(0)._1().toString());
Assert.assertEquals("[2]", cogrouped.lookup("Oranges").get(0)._2().toString());
cogrouped.collect();
}
@Test
public void foldReduce() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 1, 2, 3, 5, 8, 13));
Function2<Integer, Integer, Integer> add = new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer a, Integer b) {
return a + b;
}
};
int sum = rdd.fold(0, add);
Assert.assertEquals(33, sum);
sum = rdd.reduce(add);
Assert.assertEquals(33, sum);
}
@Test
public void reduceByKey() {
List<Tuple2<Integer, Integer>> pairs = Arrays.asList(
new Tuple2<Integer, Integer>(2, 1),
new Tuple2<Integer, Integer>(2, 1),
new Tuple2<Integer, Integer>(1, 1),
new Tuple2<Integer, Integer>(3, 2),
new Tuple2<Integer, Integer>(3, 1)
);
JavaPairRDD<Integer, Integer> rdd = sc.parallelizePairs(pairs);
JavaPairRDD<Integer, Integer> counts = rdd.reduceByKey(
new Function2<Integer, Integer, Integer>() {
@Override
public Integer call(Integer a, Integer b) {
return a + b;
}
});
Assert.assertEquals(1, counts.lookup(1).get(0).intValue());
Assert.assertEquals(2, counts.lookup(2).get(0).intValue());
Assert.assertEquals(3, counts.lookup(3).get(0).intValue());
Map<Integer, Integer> localCounts = counts.collectAsMap();
Assert.assertEquals(1, localCounts.get(1).intValue());
Assert.assertEquals(2, localCounts.get(2).intValue());
Assert.assertEquals(3, localCounts.get(3).intValue());
localCounts = rdd.reduceByKeyLocally(new Function2<Integer, Integer,
Integer>() {
@Override
public Integer call(Integer a, Integer b) {
return a + b;
}
});
Assert.assertEquals(1, localCounts.get(1).intValue());
Assert.assertEquals(2, localCounts.get(2).intValue());
Assert.assertEquals(3, localCounts.get(3).intValue());
}
@Test
public void approximateResults() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 1, 2, 3, 5, 8, 13));
Map<Integer, Long> countsByValue = rdd.countByValue();
Assert.assertEquals(2, countsByValue.get(1).longValue());
Assert.assertEquals(1, countsByValue.get(13).longValue());
PartialResult<Map<Integer, BoundedDouble>> approx = rdd.countByValueApprox(1);
Map<Integer, BoundedDouble> finalValue = approx.getFinalValue();
Assert.assertEquals(2.0, finalValue.get(1).mean(), 0.01);
Assert.assertEquals(1.0, finalValue.get(13).mean(), 0.01);
}
@Test
public void take() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 1, 2, 3, 5, 8, 13));
Assert.assertEquals(1, rdd.first().intValue());
List<Integer> firstTwo = rdd.take(2);
List<Integer> sample = rdd.takeSample(false, 2, 42);
}
@Test
public void cartesian() {
JavaDoubleRDD doubleRDD = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0));
JavaRDD<String> stringRDD = sc.parallelize(Arrays.asList("Hello", "World"));
JavaPairRDD<String, Double> cartesian = stringRDD.cartesian(doubleRDD);
Assert.assertEquals(new Tuple2<String, Double>("Hello", 1.0), cartesian.first());
}
@Test
public void javaDoubleRDD() {
JavaDoubleRDD rdd = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0));
JavaDoubleRDD distinct = rdd.distinct();
Assert.assertEquals(5, distinct.count());
JavaDoubleRDD filter = rdd.filter(new Function<Double, Boolean>() {
@Override
public Boolean call(Double x) {
return x > 2.0;
}
});
Assert.assertEquals(3, filter.count());
JavaDoubleRDD union = rdd.union(rdd);
Assert.assertEquals(12, union.count());
union = union.cache();
Assert.assertEquals(12, union.count());
Assert.assertEquals(20, rdd.sum(), 0.01);
StatCounter stats = rdd.stats();
Assert.assertEquals(20, stats.sum(), 0.01);
Assert.assertEquals(20/6.0, rdd.mean(), 0.01);
Assert.assertEquals(20/6.0, rdd.mean(), 0.01);
Assert.assertEquals(6.22222, rdd.variance(), 0.01);
Assert.assertEquals(2.49444, rdd.stdev(), 0.01);
Double first = rdd.first();
List<Double> take = rdd.take(5);
}
@Test
public void map() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4, 5));
JavaDoubleRDD doubles = rdd.map(new DoubleFunction<Integer>() {
@Override
public Double call(Integer x) {
return 1.0 * x;
}
}).cache();
JavaPairRDD<Integer, Integer> pairs = rdd.map(new PairFunction<Integer, Integer, Integer>() {
@Override
public Tuple2<Integer, Integer> call(Integer x) {
return new Tuple2<Integer, Integer>(x, x);
}
}).cache();
JavaRDD<String> strings = rdd.map(new Function<Integer, String>() {
@Override
public String call(Integer x) {
return x.toString();
}
}).cache();
}
@Test
public void flatMap() {
JavaRDD<String> rdd = sc.parallelize(Arrays.asList("Hello World!",
"The quick brown fox jumps over the lazy dog."));
JavaRDD<String> words = rdd.flatMap(new FlatMapFunction<String, String>() {
@Override
public Iterable<String> call(String x) {
return Arrays.asList(x.split(" "));
}
});
Assert.assertEquals("Hello", words.first());
Assert.assertEquals(11, words.count());
JavaPairRDD<String, String> pairs = rdd.flatMap(
new PairFlatMapFunction<String, String, String>() {
@Override
public Iterable<Tuple2<String, String>> call(String s) {
List<Tuple2<String, String>> pairs = new LinkedList<Tuple2<String, String>>();
for (String word : s.split(" ")) pairs.add(new Tuple2<String, String>(word, word));
return pairs;
}
}
);
Assert.assertEquals(new Tuple2<String, String>("Hello", "Hello"), pairs.first());
Assert.assertEquals(11, pairs.count());
JavaDoubleRDD doubles = rdd.flatMap(new DoubleFlatMapFunction<String>() {
@Override
public Iterable<Double> call(String s) {
List<Double> lengths = new LinkedList<Double>();
for (String word : s.split(" ")) lengths.add(word.length() * 1.0);
return lengths;
}
});
Double x = doubles.first();
Assert.assertEquals(5.0, doubles.first().doubleValue(), 0.01);
Assert.assertEquals(11, pairs.count());
}
@Test
public void mapPartitions() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4), 2);
JavaRDD<Integer> partitionSums = rdd.mapPartitions(
new FlatMapFunction<Iterator<Integer>, Integer>() {
@Override
public Iterable<Integer> call(Iterator<Integer> iter) {
int sum = 0;
while (iter.hasNext()) {
sum += iter.next();
}
return Collections.singletonList(sum);
}
});
Assert.assertEquals("[3, 7]", partitionSums.collect().toString());
}
@Test
public void persist() {
JavaDoubleRDD doubleRDD = sc.parallelizeDoubles(Arrays.asList(1.0, 1.0, 2.0, 3.0, 5.0, 8.0));
doubleRDD = doubleRDD.persist(StorageLevel.DISK_ONLY());
Assert.assertEquals(20, doubleRDD.sum(), 0.1);
List<Tuple2<Integer, String>> pairs = Arrays.asList(
new Tuple2<Integer, String>(1, "a"),
new Tuple2<Integer, String>(2, "aa"),
new Tuple2<Integer, String>(3, "aaa")
);
JavaPairRDD<Integer, String> pairRDD = sc.parallelizePairs(pairs);
pairRDD = pairRDD.persist(StorageLevel.DISK_ONLY());
Assert.assertEquals("a", pairRDD.first()._2());
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4, 5));
rdd = rdd.persist(StorageLevel.DISK_ONLY());
Assert.assertEquals(1, rdd.first().intValue());
}
@Test
public void iterator() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4, 5), 2);
Assert.assertEquals(1, rdd.iterator(rdd.splits().get(0)).next().intValue());
}
@Test
public void glom() {
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4), 2);
Assert.assertEquals("[1, 2]", rdd.glom().first().toString());
}
// File input / output tests are largely adapted from FileSuite:
@Test
public void textFiles() throws IOException {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
rdd.saveAsTextFile(outputDir);
// Read the plain text file and check it's OK
File outputFile = new File(outputDir, "part-00000");
String content = Files.toString(outputFile, Charsets.UTF_8);
Assert.assertEquals("1\n2\n3\n4\n", content);
// Also try reading it in as a text file RDD
List<String> expected = Arrays.asList("1", "2", "3", "4");
JavaRDD<String> readRDD = sc.textFile(outputDir);
Assert.assertEquals(expected, readRDD.collect());
}
@Test
public void sequenceFile() {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
List<Tuple2<Integer, String>> pairs = Arrays.asList(
new Tuple2<Integer, String>(1, "a"),
new Tuple2<Integer, String>(2, "aa"),
new Tuple2<Integer, String>(3, "aaa")
);
JavaPairRDD<Integer, String> rdd = sc.parallelizePairs(pairs);
rdd.map(new PairFunction<Tuple2<Integer, String>, IntWritable, Text>() {
@Override
public Tuple2<IntWritable, Text> call(Tuple2<Integer, String> pair) {
return new Tuple2<IntWritable, Text>(new IntWritable(pair._1()), new Text(pair._2()));
}
}).saveAsHadoopFile(outputDir, IntWritable.class, Text.class, SequenceFileOutputFormat.class);
// Try reading the output back as an object file
JavaPairRDD<Integer, String> readRDD = sc.sequenceFile(outputDir, IntWritable.class,
Text.class).map(new PairFunction<Tuple2<IntWritable, Text>, Integer, String>() {
@Override
public Tuple2<Integer, String> call(Tuple2<IntWritable, Text> pair) {
return new Tuple2<Integer, String>(pair._1().get(), pair._2().toString());
}
});
Assert.assertEquals(pairs, readRDD.collect());
}
@Test
public void writeWithNewAPIHadoopFile() {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
List<Tuple2<Integer, String>> pairs = Arrays.asList(
new Tuple2<Integer, String>(1, "a"),
new Tuple2<Integer, String>(2, "aa"),
new Tuple2<Integer, String>(3, "aaa")
);
JavaPairRDD<Integer, String> rdd = sc.parallelizePairs(pairs);
rdd.map(new PairFunction<Tuple2<Integer, String>, IntWritable, Text>() {
@Override
public Tuple2<IntWritable, Text> call(Tuple2<Integer, String> pair) {
return new Tuple2<IntWritable, Text>(new IntWritable(pair._1()), new Text(pair._2()));
}
}).saveAsNewAPIHadoopFile(outputDir, IntWritable.class, Text.class,
org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat.class);
JavaPairRDD<IntWritable, Text> output = sc.sequenceFile(outputDir, IntWritable.class,
Text.class);
Assert.assertEquals(pairs.toString(), output.map(new Function<Tuple2<IntWritable, Text>,
String>() {
@Override
public String call(Tuple2<IntWritable, Text> x) {
return x.toString();
}
}).collect().toString());
}
@Test
public void readWithNewAPIHadoopFile() throws IOException {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
List<Tuple2<Integer, String>> pairs = Arrays.asList(
new Tuple2<Integer, String>(1, "a"),
new Tuple2<Integer, String>(2, "aa"),
new Tuple2<Integer, String>(3, "aaa")
);
JavaPairRDD<Integer, String> rdd = sc.parallelizePairs(pairs);
rdd.map(new PairFunction<Tuple2<Integer, String>, IntWritable, Text>() {
@Override
public Tuple2<IntWritable, Text> call(Tuple2<Integer, String> pair) {
return new Tuple2<IntWritable, Text>(new IntWritable(pair._1()), new Text(pair._2()));
}
}).saveAsHadoopFile(outputDir, IntWritable.class, Text.class, SequenceFileOutputFormat.class);
JavaPairRDD<IntWritable, Text> output = sc.newAPIHadoopFile(outputDir,
org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat.class, IntWritable.class,
Text.class, new Job().getConfiguration());
Assert.assertEquals(pairs.toString(), output.map(new Function<Tuple2<IntWritable, Text>,
String>() {
@Override
public String call(Tuple2<IntWritable, Text> x) {
return x.toString();
}
}).collect().toString());
}
@Test
public void objectFilesOfInts() {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
JavaRDD<Integer> rdd = sc.parallelize(Arrays.asList(1, 2, 3, 4));
rdd.saveAsObjectFile(outputDir);
// Try reading the output back as an object file
List<Integer> expected = Arrays.asList(1, 2, 3, 4);
JavaRDD<Integer> readRDD = sc.objectFile(outputDir);
Assert.assertEquals(expected, readRDD.collect());
}
@Test
public void objectFilesOfComplexTypes() {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
List<Tuple2<Integer, String>> pairs = Arrays.asList(
new Tuple2<Integer, String>(1, "a"),
new Tuple2<Integer, String>(2, "aa"),
new Tuple2<Integer, String>(3, "aaa")
);
JavaPairRDD<Integer, String> rdd = sc.parallelizePairs(pairs);
rdd.saveAsObjectFile(outputDir);
// Try reading the output back as an object file
JavaRDD<Tuple2<Integer, String>> readRDD = sc.objectFile(outputDir);
Assert.assertEquals(pairs, readRDD.collect());
}
@Test
public void hadoopFile() {
File tempDir = Files.createTempDir();
String outputDir = new File(tempDir, "output").getAbsolutePath();
List<Tuple2<Integer, String>> pairs = Arrays.asList(
new Tuple2<Integer, String>(1, "a"),
new Tuple2<Integer, String>(2, "aa"),
new Tuple2<Integer, String>(3, "aaa")
);
JavaPairRDD<Integer, String> rdd = sc.parallelizePairs(pairs);
rdd.map(new PairFunction<Tuple2<Integer, String>, IntWritable, Text>() {
@Override
public Tuple2<IntWritable, Text> call(Tuple2<Integer, String> pair) {
return new Tuple2<IntWritable, Text>(new IntWritable(pair._1()), new Text(pair._2()));
}
}).saveAsHadoopFile(outputDir, IntWritable.class, Text.class, SequenceFileOutputFormat.class);
JavaPairRDD<IntWritable, Text> output = sc.hadoopFile(outputDir,
SequenceFileInputFormat.class, IntWritable.class, Text.class);
Assert.assertEquals(pairs.toString(), output.map(new Function<Tuple2<IntWritable, Text>,
String>() {
@Override
public String call(Tuple2<IntWritable, Text> x) {
return x.toString();
}
}).collect().toString());
}
}
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