@Test
public void parseGroupSort() throws IOException {
Plume p = new LocalPlume();
PCollection<String> logs = p.readResourceFile("log.txt");
PTable<String, Event> events =
logs.map(
new DoFn<String, Pair<String, Event>>() {
@Override
public void process(String logLine, EmitFn<Pair<String, Event>> emitter) {
if (logLine.length() > 0) {
Event e = new Event(logLine);
emitter.emit(new Pair<String, Event>(e.getName(), e));
}
}
},
Plume.tableOf(strings(), strings()));
Ordering<Event> ordering =
new Ordering<Event>() {
public int compare(Event left, Event right) {
return left.compareTo(right);
};
};
PTable<String, Iterable<Event>> byName = events.groupByKey(ordering);
for (Pair<String, Iterable<Event>> logIter : byName) {
// String nameKey = logIter.getKey();
Iterable<Event> chatEvents = logIter.getValue();
// check if ordering indeed happened in the result
assertTrue(ordering.isOrdered(chatEvents));
}
}
/** This test runs a chain of two "ParallelDo" operations: (x+1), (x*2) */
@Test
public void testNestedMap() {
// Get Plume runtime
LazyPlume plume = new LazyPlume();
// Create simple data
PCollection<Integer> input = plume.fromJava(Lists.newArrayList(1, 2, 3));
PCollection<Integer> output = input.map(plusOne, null).map(timesTwo, null);
executeAndAssert((LazyCollection<Integer>) output, new Integer[] {4, 6, 8});
}
@SuppressWarnings("unchecked")
@Override
public void build() {
init();
LazyPlume plume = new LazyPlume();
PCollection input;
PCollection input2;
try {
// Read input
input = plume.readFile("/tmp/input-wordcount.txt", collectionOf(strings()));
input2 = plume.readFile("/tmp/input-moretext.txt", collectionOf(strings()));
// Add it as workflow's input
addInput(input);
} catch (IOException e) {
throw new RuntimeException();
}
PCollection transform =
input.map(
new DoFn() {
@Override
public void process(Object v, EmitFn emitter) {
Text t = (Text) v;
emitter.emit(new Text(t.toString() + "-bar"));
}
},
collectionOf(strings()));
addOutput(plume.flatten(input2, transform)); // flatten with another file
PCollection groupedTransform =
input
.map(
new DoFn() {
@Override
public void process(Object v, EmitFn emitter) {
Text t = (Text) v;
emitter.emit(Pair.create(t, new Text("foo")));
}
},
tableOf(strings(), strings()))
.groupByKey();
addOutput(groupedTransform);
}