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99_APX_eval_code.tex
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99_APX_eval_code.tex
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\chapter{Evaluation listings}\label{apx:twitter-code}
\begin{codelisting}
\caption{The Twitter Pipeline implemented in Elixir}
\label{lst:apxb:twitter-elixir}
\begin{minted}[breaklines=true,fontsize={\scriptsize}]{elixir}
use Dataflow
alias Dataflow.Transforms.{Core, IO, Windowing, Aggregation}
alias Dataflow.DirectRunner
alias Dataflow.Utils.Time, as: DTime
require DTime
parse_as_timestamp = fn string ->
string
|> Timex.parse!("{WDshort} {Mshort} {0D} {h24}:{0m}:{0s} {Z} {YYYY}")
|> DateTime.to_unix
|> DTime.timestamp(:seconds)
end
p = Pipeline.new runner: DirectRunner
p
~> "Read Stream" -- IO.read_stream(fn -> ExTwitter.stream_filter(track: "tech,technology,Apple,Google,Twitter,Facebook,Microsoft,
iPhone,Mac,Android,computers,CompSci,science", language: "en") end)
~>([label: "Extract Timestamps", stats_id: "event_watermark"] <> Windowing.with_timestamps(&parse_as_timestamp.(&1.created_at), delay_watermark: {30, :seconds, :event_time}))
~> Core.flat_map(fn tweet -> for _ <- 1..stream_multiply, do: tweet end)
~> "Window Elements" -- Windowing.window(into: {:sliding, size: {3, :minutes}, period: {1, :minutes}})
~> "Extract Hashtags" -- Core.flat_map(fn tweet ->
case tweet.entities[:hashtags] do
nil -> []
[] -> []
list ->
list
|> Enum.map(fn %{text: text} -> text end)
end
end)
~> [stats_id: "fst_aggregate_watermark"] <> Aggregation.count_elements()
~> "Generate Prefixes" -- Core.flat_map(fn {tag, count} ->
len = String.length tag
for i <- 0..(len-1), downcased = String.downcase(tag), prefix = String.slice(downcased, 0..i), do: {prefix, {tag, count}}
end)
~> Aggregation.top_per_key(3, compare: fn {_tag1, count1}, {_tag2, count2} -> count1 <= count2 end)
~> "Discard Exact Counts" -- Core.map(fn {prefix, tcs} -> {prefix, Enum.map(tcs, fn {tag, _count} -> tag end)} end)
~> [stats_id: "output_watermark"] <> Core.each(fn x -> Elixir.IO.puts "#{inspect x}" end)
Pipeline.run p, sync: true
\end{minted}
\end{codelisting}
\newpage
\begin{codelisting}
\caption{The Twitter Pipeline implemented in Java}
\label{lst:apxb:twitter-java}
\begin{minted}[breaklines=true,fontsize={\scriptsize}]{java}
package uk.ac.cam.cl.mnj24.dataflow.examples;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.coders.AvroCoder;
import org.apache.beam.sdk.coders.Coder;
import org.apache.beam.sdk.coders.CoderRegistry;
import org.apache.beam.sdk.coders.SerializableCoder;
import org.apache.beam.sdk.io.Read;
import org.apache.beam.sdk.io.UnboundedSource;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.transforms.*;
import org.apache.beam.sdk.transforms.windowing.SlidingWindows;
import org.apache.beam.sdk.transforms.windowing.Window;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.TypeDescriptor;
import org.apache.beam.sdk.values.TypeDescriptors;
import org.joda.time.Duration;
import org.joda.time.Instant;
import org.joda.time.ReadableDuration;
import twitter4j.*;
import javax.annotation.Nullable;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicReference;
import java.util.stream.Collectors;
public class TwitterHashtags {
// Don't worry about checkpoints, since we have no access to any sort of cursor in the stream anyway
static class DummyCheckpoint implements UnboundedSource.CheckpointMark, Serializable {
@Override
public void finalizeCheckpoint() throws IOException {
// nothing to do
}
}
/**
* Pulls from global Twitter4J config, only returns a filter stream with given terms, and only in English.
* Not a general purpose source. Will not work on distributed runners.
* Does not support splitting/partitioning the stream.
* Uses an internal buffer in the reader, with no support for pausing/checkpointing/offloading to external storage.
*/
static class TwitterSource extends UnboundedSource<Status, DummyCheckpoint> {
private String[] terms;
private TwitterSource(String... terms) {
this.terms = terms;
}
public static TwitterSource withTerms(String... terms) {
return new TwitterSource(terms);
}
@Override
public List<? extends UnboundedSource<Status, DummyCheckpoint>> split(int desiredNumSplits, PipelineOptions options) throws Exception {
// Don't support splitting
return Collections.singletonList(this);
}
@Override
public UnboundedReader<Status> createReader(PipelineOptions options, @Nullable DummyCheckpoint checkpointMark) throws IOException {
return new Reader(terms, this);
}
@Override
public Coder<DummyCheckpoint> getCheckpointMarkCoder() {
return SerializableCoder.of(DummyCheckpoint.class);
}
@Override
public void validate() {
if (terms == null || terms.length == 0) throw new IllegalArgumentException("Must pass in terms to track");
}
@Override
public Coder<Status> getDefaultOutputCoder() {
return SerializableCoder.of(Status.class);
}
// This maintains a static streaming listener, because the Dataflow runner exercises start-stop functionality, but this causes us to hit a rate limit in Twitter.
protected static class Reader extends UnboundedSource.UnboundedReader<Status> implements StatusListener {
private Queue<Status> statuses = new ConcurrentLinkedQueue<>();
private String[] terms;
private static AtomicReference<TwitterStream> streamRef = new AtomicReference<>(null);
private AtomicReference<Status> currentStatus = new AtomicReference<>(null);
private AtomicReference<Instant> highPoint = new AtomicReference<>(new Instant(Long.MIN_VALUE));
private final Duration delayDuration = Duration.standardSeconds(30);
private final Instant earliestSafeWM = new Instant(Long.MIN_VALUE).plus(delayDuration);
private TwitterSource parentSource;
private Reader(String[] terms, TwitterSource source) {
this.terms = terms;
parentSource = source;
}
@Override
public boolean start() throws IOException {
TwitterStream stream = streamRef.get();
if (stream != null) {
stream.addListener(this);
return advance();
}
stream = TwitterStreamFactory.getSingleton();
stream.addListener(this);
FilterQuery query =
new FilterQuery()
.track(terms)
.language("en");
stream.filter(query); // Starts listening in a separate thread
streamRef.set(stream);
return advance();
}
@Override
public boolean advance() throws IOException {
Status newStatus = statuses.poll();
Status oldStatus = currentStatus.get();
if (newStatus == null) return false;
currentStatus.compareAndSet(oldStatus, newStatus);
trackWatermark(newStatus);
return true;
}
private void trackWatermark(Status status) {
Instant currentHP = highPoint.get();
Instant possibleNewHP = new Instant(status.getCreatedAt());
if (currentHP.compareTo(possibleNewHP) < 0) {
highPoint.compareAndSet(currentHP, possibleNewHP);
}
}
@Override
public Status getCurrent() throws NoSuchElementException {
Status status = currentStatus.get();
if (status == null) throw new NoSuchElementException();
return status;
}
@Override
public Instant getCurrentTimestamp() throws NoSuchElementException {
Status status = currentStatus.get();
Date createdAt = status.getCreatedAt();
return new Instant(createdAt);
}
@Override
public void close() throws IOException {
TwitterStream stream = streamRef.get();
if (stream == null) return;
stream.removeListener(this);
// stream.shutdown();
// stream.cleanUp();
// stream.clearListeners();
// streamRef.compareAndSet(stream, null);
}
@Override
public Instant getWatermark() {
Instant hp = highPoint.get();
if (hp.compareTo(earliestSafeWM) < 0) {
return hp;
}
else {
return hp.minus(delayDuration); // delay watermark
}
}
@Override
public CheckpointMark getCheckpointMark() {
return new DummyCheckpoint();
}
@Override
public UnboundedSource<Status, ?> getCurrentSource() {
return parentSource;
}
@Override
public void onStatus(Status status) {
statuses.add(status);
}
@Override
public void onDeletionNotice(StatusDeletionNotice statusDeletionNotice) {
}
@Override
public void onTrackLimitationNotice(int numberOfLimitedStatuses) {
}
@Override
public void onScrubGeo(long userId, long upToStatusId) {
}
@Override
public void onStallWarning(StallWarning warning) {
}
@Override
public void onException(Exception ex) {
ex.printStackTrace();
}
}
}
public static class GeneratePrefixesFn extends SimpleFunction<KV<String, Long>, List<KV<String, KV<String, Long>>>> {
@Override
public List<KV<String, KV<String, Long>>> apply(KV<String, Long> tagWithCount) {
List<KV<String, KV<String, Long>>> result = new ArrayList<>();
String downcased = tagWithCount.getKey().toLowerCase();
for (int i = 1; i <= downcased.length(); i++) {
String prefix = downcased.substring(0, i);
result.add(KV.of(prefix, tagWithCount));
}
return result;
}
}
public static class ComparePrefixesWithCounts implements Comparator<KV<String, Long>>, Serializable {
@Override
public int compare(KV<String, Long> o1, KV<String, Long> o2) {
return Long.compare(o1.getValue(), o2.getValue());
}
}
public static class DiscardCountsFn extends SimpleFunction<KV<String, List<KV<String, Long>>>, KV<String, List<String>>> {
@Override
public KV<String, List<String>> apply(KV<String, List<KV<String, Long>>> el) {
List<String> prefixes = el.getValue().stream().map((KV::getKey)).collect(Collectors.toList());
return KV.of(el.getKey(), prefixes);
}
}
public static class PrintToConsoleFn extends SimpleFunction<KV<String, List<String>>, KV<String, List<String>>> {
@Override
public KV<String, List<String>> apply(KV<String, List<String>> el) {
System.out.format("%s: %s\n", el.getKey(), Arrays.toString(el.getValue().toArray()));
return el;
}
}
public static void main(String args[]) {
PipelineOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(PipelineOptions.class);
Pipeline p = Pipeline.create(options);
//Set coders
CoderRegistry cr = p.getCoderRegistry();
cr.registerCoder(HashtagEntity.class, SerializableCoder.of(HashtagEntity.class));
String[] terms = {"tech", "technology", "Apple", "Google", "Twitter", "Facebook", "Microsoft", "iPhone", "Mac", "Android", "computers", "CompSci", "science"};
p
.apply("GetTweets", Read.from(TwitterSource.withTerms(terms)))
.apply(Window.<Status>into(SlidingWindows.of(Duration.standardMinutes(10))
.every(Duration.standardMinutes(1))))
.apply("ExtractHashtagEntities",
FlatMapElements
.into(new TypeDescriptor<HashtagEntity>() {})
.<Status>via((Status s) -> Arrays.asList(s.getHashtagEntities())))
.apply("ExtractHashtagText", MapElements.into(TypeDescriptors.strings()).via(HashtagEntity::getText))
.apply(Count.perElement())
.apply("GeneratePrefixes", FlatMapElements.via(new GeneratePrefixesFn()))
.apply(Top.perKey(3, new ComparePrefixesWithCounts()))
.apply("DiscardCounts", MapElements.via(new DiscardCountsFn()))
.apply("PrintToConsole", MapElements.via(new PrintToConsoleFn()));
p.run();
}
}
\end{minted}
\end{codelisting}