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[BEAM-2852] Add support for Kafka as source/sink on Nexmark #5019

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merged 3 commits into from
Apr 10, 2018
Merged

[BEAM-2852] Add support for Kafka as source/sink on Nexmark #5019

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97d32bd
[BEAM-2852] Added Kafka source of events and sink of results
vectorijk Apr 4, 2018
5123108
[BEAM-2852] Fix the code that uses Long key whereas there is no key i…
echauchot Apr 4, 2018
6df0add
[BEAM-2852] Fix minor code style issues
aromanenko-dev Apr 6, 2018
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2 changes: 2 additions & 0 deletions sdks/java/nexmark/build.gradle
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Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@ dependencies {
shadow project(path: ":beam-sdks-java-io-google-cloud-platform", configuration: "shadow")
shadow project(path: ":beam-sdks-java-extensions-google-cloud-platform-core", configuration: "shadow")
shadow project(path: ":beam-sdks-java-extensions-sql", configuration: "shadow")
shadow project(path: ":beam-sdks-java-io-kafka", configuration: "shadow")
shadow library.java.google_api_services_bigquery
shadow library.java.jackson_core
shadow library.java.jackson_annotations
Expand All @@ -38,6 +39,7 @@ dependencies {
shadow library.java.junit
shadow library.java.hamcrest_core
shadow library.java.commons_lang3
shadow library.java.kafka_clients
shadow project(path: ":beam-runners-direct-java", configuration: "shadow")
shadow library.java.slf4j_jdk14
testCompile library.java.hamcrest_core
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31 changes: 29 additions & 2 deletions sdks/java/nexmark/pom.xml
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Expand Up @@ -192,6 +192,15 @@
<argLine>-da</argLine> <!-- disable assert in Calcite converter validation -->
</configuration>
</plugin>

<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
</plugins>
</build>

Expand Down Expand Up @@ -274,13 +283,13 @@
<artifactId>hamcrest-core</artifactId>
<scope>compile</scope>
</dependency>

<dependency>
<groupId>org.hamcrest</groupId>
<artifactId>hamcrest-library</artifactId>
<scope>compile</scope>
</dependency>

<dependency>
<groupId>org.apache.beam</groupId>
<artifactId>beam-runners-direct-java</artifactId>
Expand All @@ -303,5 +312,23 @@
<artifactId>commons-lang3</artifactId>
<scope>runtime</scope>
</dependency>

<dependency>
<groupId>com.google.auto.value</groupId>
<artifactId>auto-value</artifactId>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.beam</groupId>
<artifactId>beam-sdks-java-io-kafka</artifactId>
</dependency>

<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>${kafka.clients.version}</version>
</dependency>

</dependencies>
</project>
92 changes: 92 additions & 0 deletions sdks/java/nexmark/src/main/java/org/apache/beam/sdk/nexmark/NexmarkLauncher.java
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Expand Up @@ -17,6 +17,7 @@
*/
package org.apache.beam.sdk.nexmark;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkState;

import com.google.api.services.bigquery.model.TableFieldSchema;
Expand All @@ -42,6 +43,7 @@
import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
import org.apache.beam.sdk.io.gcp.pubsub.PubsubIO;
import org.apache.beam.sdk.io.gcp.pubsub.PubsubMessage;
import org.apache.beam.sdk.io.kafka.KafkaIO;
import org.apache.beam.sdk.metrics.DistributionResult;
import org.apache.beam.sdk.metrics.MetricNameFilter;
import org.apache.beam.sdk.metrics.MetricQueryResults;
Expand Down Expand Up @@ -88,11 +90,16 @@
import org.apache.beam.sdk.transforms.DoFn;
import org.apache.beam.sdk.transforms.ParDo;
import org.apache.beam.sdk.util.CoderUtils;
import org.apache.beam.sdk.values.KV;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.PCollectionTuple;
import org.apache.beam.sdk.values.TimestampedValue;
import org.apache.beam.sdk.values.TupleTag;
import org.apache.beam.sdk.values.TupleTagList;
import org.apache.kafka.common.serialization.ByteArrayDeserializer;
import org.apache.kafka.common.serialization.ByteArraySerializer;
import org.apache.kafka.common.serialization.LongDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.joda.time.Duration;
import org.slf4j.LoggerFactory;

Expand Down Expand Up @@ -764,6 +771,69 @@ public void processElement(ProcessContext c) {
}));
}

static final DoFn<Event, byte[]> EVENT_TO_BYTEARRAY =
new DoFn<Event, byte[]>() {
@ProcessElement
public void processElement(ProcessContext c) {
try {
byte[] encodedEvent = CoderUtils.encodeToByteArray(Event.CODER, c.element());
c.output(encodedEvent);
} catch (CoderException e1) {
LOG.error("Error while sending Event {} to Kafka: serialization error",
c.element().toString());
}
}
};

/**
* Send {@code events} to Kafka.
*/
private void sinkEventsToKafka(PCollection<Event> events) {
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Can you please wire this method up and add a COMBINED mode similar to what is done in Pub/Sub?

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IMHO I think we should refactor the whole COMBINED mode:

  • See NexmarkLauncher#createSource: it does a switch on the source type to configure sink.
  • it sends synthetic events to sink when in COMBINED mode but NexmarkUtils#COMBINED states that combine modes is for "Both publish and consume, but as separate jobs".
    Once refactored to something more coherent, implement it for kafka.

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what is important in the connection with MOM:

  • have the ability to keep a track of the generated events that lead to a benchmark result
  • be able to read events from a topic
  • write benchmark results to topic

PCollection<byte[]> eventToBytes =
events.apply("Event to bytes", ParDo.of(EVENT_TO_BYTEARRAY));
eventToBytes.apply(KafkaIO.<Void, byte[]>write()
.withBootstrapServers(options.getBootstrapServers())
.withTopic(options.getKafkaSinkTopic())
.withValueSerializer(ByteArraySerializer.class)
.values());

}


static final DoFn<KV<Long, byte[]>, Event> BYTEARRAY_TO_EVENT =
new DoFn<KV<Long, byte[]>, Event>() {
@ProcessElement
public void processElement(ProcessContext c) {
byte[] encodedEvent = c.element().getValue();
try {
Event event = CoderUtils.decodeFromByteArray(Event.CODER, encodedEvent);
c.output(event);
} catch (CoderException e) {
LOG.error("Error while decoding Event from Kafka message: serialization error");
}
}
};

/**
* Return source of events from Kafka.
*/
private PCollection<Event> sourceEventsFromKafka(Pipeline p) {
NexmarkUtils.console("Reading events from Kafka Topic %s", options.getKafkaSourceTopic());

checkArgument(!Strings.isNullOrEmpty(options.getBootstrapServers()),
"Missing --bootstrapServers");

KafkaIO.Read<Long, byte[]> read = KafkaIO.<Long, byte[]>read()
.withBootstrapServers(options.getBootstrapServers())
.withTopic(options.getKafkaSourceTopic())
.withKeyDeserializer(LongDeserializer.class)
.withValueDeserializer(ByteArrayDeserializer.class);

return p
.apply(queryName + ".ReadKafkaEvents", read.withoutMetadata())
.apply(queryName + ".KafkaToEvents", ParDo.of(BYTEARRAY_TO_EVENT));
}

/**
* Return Avro source of events from {@code options.getInputFilePrefix}.
*/
Expand Down Expand Up @@ -813,6 +883,22 @@ public void processElement(ProcessContext c) {
.apply(queryName + ".WritePubsubEvents", io);
}

/**
* Send {@code formattedResults} to Kafka.
*/
private void sinkResultsToKafka(PCollection<String> formattedResults) {
checkArgument(!Strings.isNullOrEmpty(options.getBootstrapServers()),
"Missing --bootstrapServers");

formattedResults.apply(
queryName + ".WriteKafkaResults",
KafkaIO.<Void, String>write()
.withBootstrapServers(options.getBootstrapServers())
.withTopic(options.getKafkaSinkTopic())
.withValueSerializer(StringSerializer.class)
.values());
}

/**
* Send {@code formattedResults} to Pubsub.
*/
Expand Down Expand Up @@ -923,6 +1009,9 @@ private PCollection<Event> createSource(Pipeline p, final long now) {
case AVRO:
source = sourceEventsFromAvro(p);
break;
case KAFKA:
source = sourceEventsFromKafka(p);
break;
case PUBSUB:
// Setup the sink for the publisher.
switch (configuration.pubSubMode) {
Expand Down Expand Up @@ -1010,6 +1099,9 @@ private void sink(PCollection<TimestampedValue<KnownSize>> results, long now) {
case PUBSUB:
sinkResultsToPubsub(formattedResults, now);
break;
case KAFKA:
sinkResultsToKafka(formattedResults);
break;
case TEXT:
sinkResultsToText(formattedResults, now);
break;
Expand Down
20 changes: 20 additions & 0 deletions sdks/java/nexmark/src/main/java/org/apache/beam/sdk/nexmark/NexmarkOptions.java
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Expand Up @@ -406,4 +406,24 @@ public interface NexmarkOptions
String getQueryLanguage();

void setQueryLanguage(String value);

@Description("Base name of Kafka source topic in streaming mode.")
@Nullable
@Default.String("nexmark-source")
String getKafkaSourceTopic();

void setKafkaSourceTopic(String value);

@Description("Base name of Kafka sink topic in streaming mode.")
@Nullable
@Default.String("nexmark-sink")
String getKafkaSinkTopic();

void setKafkaSinkTopic(String value);

@Description("Kafka Bootstrap Server domains.")
@Nullable
String getBootstrapServers();

void setBootstrapServers(String value);
}
12 changes: 10 additions & 2 deletions sdks/java/nexmark/src/main/java/org/apache/beam/sdk/nexmark/NexmarkUtils.java
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Expand Up @@ -99,7 +99,11 @@ public enum SourceType {
/**
* Read from a PubSub topic. It will be fed the same synthetic events by this pipeline.
*/
PUBSUB
PUBSUB,
/**
* Read events from a Kafka topic. It will be fed the same synthetic events by this pipeline.
*/
KAFKA
}

/**
Expand All @@ -118,6 +122,10 @@ public enum SinkType {
* Write to a PubSub topic. It will be drained by this pipeline.
*/
PUBSUB,
/**
* Write to a Kafka topic. It will be drained by this pipeline.
*/
KAFKA,
/**
* Write to a text file. Only works in batch mode.
*/
Expand All @@ -129,7 +137,7 @@ public enum SinkType {
/**
* Write raw Events to BigQuery.
*/
BIGQUERY,
BIGQUERY
}

/**
Expand Down