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NIFI-271

This commit is contained in:
joewitt 2015-04-25 09:20:35 -04:00
parent b2a1f5217d
commit 8f2502c4e4
7 changed files with 532 additions and 524 deletions
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384
nifi/nifi-nar-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/main/java/org/apache/nifi/processors/kafka/GetKafka.java
View File

@ -61,82 +61,86 @@ import org.apache.nifi.processor.util.StandardValidators;
@SupportsBatching
@CapabilityDescription("Fetches messages from Apache Kafka")
@Tags({"Kafka", "Apache", "Get", "Ingest", "Ingress", "Topic", "PubSub"})
@WritesAttributes({ @WritesAttribute(attribute = "kafka.topic", description = "The name of the Kafka Topic from which the message was received"),
@WritesAttribute(attribute = "kafka.key", description = "The key of the Kafka message, if it exists and batch size is 1. If the message does not have a key, or if the batch size is greater than 1, this attribute will not be added"),
@WritesAttribute(attribute = "kafka.partition", description = "The partition of the Kafka Topic from which the message was received. This attribute is added only if the batch size is 1"),
@WritesAttribute(attribute = "kafka.offset", description = "The offset of the message within the Kafka partition. This attribute is added only if the batch size is 1") })
@WritesAttributes({
@WritesAttribute(attribute = "kafka.topic", description = "The name of the Kafka Topic from which the message was received"),
@WritesAttribute(attribute = "kafka.key", description = "The key of the Kafka message, if it exists and batch size is 1. If"
+ " the message does not have a key, or if the batch size is greater than 1, this attribute will not be added"),
@WritesAttribute(attribute = "kafka.partition", description = "The partition of the Kafka Topic from which the message was received. This attribute is added only if the batch size is 1"),
@WritesAttribute(attribute = "kafka.offset", description = "The offset of the message within the Kafka partition. This attribute is added only if the batch size is 1")})
public class GetKafka extends AbstractProcessor {
public static final PropertyDescriptor ZOOKEEPER_CONNECTION_STRING = new PropertyDescriptor.Builder()
.name("ZooKeeper Connection String")
.description("The Connection String to use in order to connect to ZooKeeper. This is often a comma-separated list of <host>:<port> combinations. For example, host1:2181,host2:2181,host3:2188")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
.name("ZooKeeper Connection String")
.description("The Connection String to use in order to connect to ZooKeeper. This is often a comma-separated list of <host>:<port>"
+ " combinations. For example, host1:2181,host2:2181,host3:2188")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
public static final PropertyDescriptor TOPIC = new PropertyDescriptor.Builder()
.name("Topic Name")
.description("The Kafka Topic to pull messages from")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
.name("Topic Name")
.description("The Kafka Topic to pull messages from")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
public static final PropertyDescriptor ZOOKEEPER_COMMIT_DELAY = new PropertyDescriptor.Builder()
.name("Zookeeper Commit Frequency")
.description("Specifies how often to communicate with ZooKeeper to indicate which messages have been pulled. A longer time period will result in better overall performance but can result in more data duplication if a NiFi node is lost")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("60 secs")
.build();
.name("Zookeeper Commit Frequency")
.description("Specifies how often to communicate with ZooKeeper to indicate which messages have been pulled. A longer time period will"
+ " result in better overall performance but can result in more data duplication if a NiFi node is lost")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("60 secs")
.build();
public static final PropertyDescriptor ZOOKEEPER_TIMEOUT = new PropertyDescriptor.Builder()
.name("ZooKeeper Communications Timeout")
.description("The amount of time to wait for a response from ZooKeeper before determining that there is a communications error")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("30 secs")
.build();
.name("ZooKeeper Communications Timeout")
.description("The amount of time to wait for a response from ZooKeeper before determining that there is a communications error")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("30 secs")
.build();
public static final PropertyDescriptor KAFKA_TIMEOUT = new PropertyDescriptor.Builder()
.name("Kafka Communications Timeout")
.description("The amount of time to wait for a response from Kafka before determining that there is a communications error")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("30 secs")
.build();
.name("Kafka Communications Timeout")
.description("The amount of time to wait for a response from Kafka before determining that there is a communications error")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("30 secs")
.build();
public static final PropertyDescriptor BATCH_SIZE = new PropertyDescriptor.Builder()
.name("Batch Size")
.description("Specifies the maximum number of messages to combine into a single FlowFile. These messages will be "
+ "concatenated together with the <Message Demarcator> string placed between the content of each message. "
+ "If the messages from Kafka should not be concatenated together, leave this value at 1.")
.required(true)
.addValidator(StandardValidators.POSITIVE_INTEGER_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("1")
.build();
.name("Batch Size")
.description("Specifies the maximum number of messages to combine into a single FlowFile. These messages will be "
+ "concatenated together with the <Message Demarcator> string placed between the content of each message. "
+ "If the messages from Kafka should not be concatenated together, leave this value at 1.")
.required(true)
.addValidator(StandardValidators.POSITIVE_INTEGER_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("1")
.build();
public static final PropertyDescriptor MESSAGE_DEMARCATOR = new PropertyDescriptor.Builder()
.name("Message Demarcator")
.description("Specifies the characters to use in order to demarcate multiple messages from Kafka. If the <Batch Size> "
+ "property is set to 1, this value is ignored. Otherwise, for each two subsequent messages in the batch, "
+ "this value will be placed in between them.")
.required(true)
.addValidator(Validator.VALID) // accept anything as a demarcator, including empty string
.expressionLanguageSupported(false)
.defaultValue("\\n")
.build();
.name("Message Demarcator")
.description("Specifies the characters to use in order to demarcate multiple messages from Kafka. If the <Batch Size> "
+ "property is set to 1, this value is ignored. Otherwise, for each two subsequent messages in the batch, "
+ "this value will be placed in between them.")
.required(true)
.addValidator(Validator.VALID) // accept anything as a demarcator, including empty string
.expressionLanguageSupported(false)
.defaultValue("\\n")
.build();
public static final PropertyDescriptor CLIENT_NAME = new PropertyDescriptor.Builder()
.name("Client Name")
.description("Client Name to use when communicating with Kafka")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
.name("Client Name")
.description("Client Name to use when communicating with Kafka")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
public static final Relationship REL_SUCCESS = new Relationship.Builder()
.name("success")
.description("All FlowFiles that are created are routed to this relationship")
.build();
.name("success")
.description("All FlowFiles that are created are routed to this relationship")
.build();
private final BlockingQueue<ConsumerIterator<byte[], byte[]>> streamIterators = new LinkedBlockingQueue<>();
private volatile ConsumerConnector consumer;
@ -147,10 +151,10 @@ public class GetKafka extends AbstractProcessor {
@Override
protected List<PropertyDescriptor> getSupportedPropertyDescriptors() {
final PropertyDescriptor clientNameWithDefault = new PropertyDescriptor.Builder()
.fromPropertyDescriptor(CLIENT_NAME)
.defaultValue("NiFi-" + getIdentifier())
.build();
final PropertyDescriptor clientNameWithDefault = new PropertyDescriptor.Builder()
.fromPropertyDescriptor(CLIENT_NAME)
.defaultValue("NiFi-" + getIdentifier())
.build();
final List<PropertyDescriptor> props = new ArrayList<>();
props.add(ZOOKEEPER_CONNECTION_STRING);
@ -173,57 +177,57 @@ public class GetKafka extends AbstractProcessor {
@OnScheduled
public void createConsumers(final ProcessContext context) {
final String topic = context.getProperty(TOPIC).getValue();
final String topic = context.getProperty(TOPIC).getValue();
final Map<String, Integer> topicCountMap = new HashMap<>(1);
topicCountMap.put(topic, context.getMaxConcurrentTasks());
final Map<String, Integer> topicCountMap = new HashMap<>(1);
topicCountMap.put(topic, context.getMaxConcurrentTasks());
final Properties props = new Properties();
props.setProperty("zookeeper.connect", context.getProperty(ZOOKEEPER_CONNECTION_STRING).getValue());
props.setProperty("group.id", getIdentifier());
props.setProperty("auto.commit.interval.ms", String.valueOf(context.getProperty(ZOOKEEPER_COMMIT_DELAY).asTimePeriod(TimeUnit.MILLISECONDS)));
props.setProperty("auto.commit.enable", "true"); // just be explicit
props.setProperty("auto.offset.reset", "smallest");
final Properties props = new Properties();
props.setProperty("zookeeper.connect", context.getProperty(ZOOKEEPER_CONNECTION_STRING).getValue());
props.setProperty("group.id", getIdentifier());
props.setProperty("auto.commit.interval.ms", String.valueOf(context.getProperty(ZOOKEEPER_COMMIT_DELAY).asTimePeriod(TimeUnit.MILLISECONDS)));
props.setProperty("auto.commit.enable", "true"); // just be explicit
props.setProperty("auto.offset.reset", "smallest");
final ConsumerConfig consumerConfig = new ConsumerConfig(props);
consumer = Consumer.createJavaConsumerConnector(consumerConfig);
final ConsumerConfig consumerConfig = new ConsumerConfig(props);
consumer = Consumer.createJavaConsumerConnector(consumerConfig);
final Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
final List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
final Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
final List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
this.streamIterators.clear();
this.streamIterators.clear();
for ( final KafkaStream<byte[], byte[]> stream : streams ) {
streamIterators.add(stream.iterator());
}
for (final KafkaStream<byte[], byte[]> stream : streams) {
streamIterators.add(stream.iterator());
}
}
@OnStopped
public void shutdownConsumer() {
if ( consumer != null ) {
try {
consumer.commitOffsets();
} finally {
consumer.shutdown();
}
}
if (consumer != null) {
try {
consumer.commitOffsets();
} finally {
consumer.shutdown();
}
}
}
@OnUnscheduled
public void interruptIterators() {
// Kafka doesn't provide a non-blocking API for pulling messages. We can, however,
// interrupt the Threads. We do this when the Processor is stopped so that we have the
// ability to shutdown the Processor.
interruptionLock.lock();
try {
for ( final Thread t : interruptableThreads ) {
t.interrupt();
}
// Kafka doesn't provide a non-blocking API for pulling messages. We can, however,
// interrupt the Threads. We do this when the Processor is stopped so that we have the
// ability to shutdown the Processor.
interruptionLock.lock();
try {
for (final Thread t : interruptableThreads) {
t.interrupt();
}
interruptableThreads.clear();
} finally {
interruptionLock.unlock();
}
interruptableThreads.clear();
} finally {
interruptionLock.unlock();
}
}
protected ConsumerIterator<byte[], byte[]> getStreamIterator() {
@ -232,105 +236,105 @@ public class GetKafka extends AbstractProcessor {
@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
ConsumerIterator<byte[], byte[]> iterator = getStreamIterator();
if ( iterator == null ) {
return;
}
ConsumerIterator<byte[], byte[]> iterator = getStreamIterator();
if (iterator == null) {
return;
}
final int batchSize = context.getProperty(BATCH_SIZE).asInteger();
final String demarcator = context.getProperty(MESSAGE_DEMARCATOR).getValue().replace("\\n", "\n").replace("\\r", "\r").replace("\\t", "\t");
final byte[] demarcatorBytes = demarcator.getBytes(StandardCharsets.UTF_8);
final String topic = context.getProperty(TOPIC).getValue();
final int batchSize = context.getProperty(BATCH_SIZE).asInteger();
final String demarcator = context.getProperty(MESSAGE_DEMARCATOR).getValue().replace("\\n", "\n").replace("\\r", "\r").replace("\\t", "\t");
final byte[] demarcatorBytes = demarcator.getBytes(StandardCharsets.UTF_8);
final String topic = context.getProperty(TOPIC).getValue();
FlowFile flowFile = null;
try {
// add the current thread to the Set of those to be interrupted if processor stopped.
interruptionLock.lock();
try {
interruptableThreads.add(Thread.currentThread());
} finally {
interruptionLock.unlock();
}
FlowFile flowFile = null;
try {
// add the current thread to the Set of those to be interrupted if processor stopped.
interruptionLock.lock();
try {
interruptableThreads.add(Thread.currentThread());
} finally {
interruptionLock.unlock();
}
final long start = System.nanoTime();
flowFile = session.create();
final long start = System.nanoTime();
flowFile = session.create();
final Map<String, String> attributes = new HashMap<>();
final Map<String, String> attributes = new HashMap<>();
attributes.put("kafka.topic", topic);
int numMessages = 0;
for (int msgCount = 0; msgCount < batchSize; msgCount++) {
// if the processor is stopped, iterator.hasNext() will throw an Exception.
// In this case, we just break out of the loop.
try {
if ( !iterator.hasNext() ) {
break;
}
} catch (final Exception e) {
break;
}
for (int msgCount = 0; msgCount < batchSize; msgCount++) {
// if the processor is stopped, iterator.hasNext() will throw an Exception.
// In this case, we just break out of the loop.
try {
if (!iterator.hasNext()) {
break;
}
} catch (final Exception e) {
break;
}
final MessageAndMetadata<byte[], byte[]> mam = iterator.next();
if ( mam == null ) {
return;
}
final MessageAndMetadata<byte[], byte[]> mam = iterator.next();
if (mam == null) {
return;
}
final byte[] key = mam.key();
final byte[] key = mam.key();
if ( batchSize == 1 ) {
// the kafka.key, kafka.offset, and kafka.partition attributes are added only
// for a batch size of 1.
if ( key != null ) {
attributes.put("kafka.key", new String(key, StandardCharsets.UTF_8));
}
if (batchSize == 1) {
// the kafka.key, kafka.offset, and kafka.partition attributes are added only
// for a batch size of 1.
if (key != null) {
attributes.put("kafka.key", new String(key, StandardCharsets.UTF_8));
}
attributes.put("kafka.offset", String.valueOf(mam.offset()));
attributes.put("kafka.partition", String.valueOf(mam.partition()));
}
attributes.put("kafka.offset", String.valueOf(mam.offset()));
attributes.put("kafka.partition", String.valueOf(mam.partition()));
}
// add the message to the FlowFile's contents
final boolean firstMessage = (msgCount == 0);
flowFile = session.append(flowFile, new OutputStreamCallback() {
@Override
public void process(final OutputStream out) throws IOException {
if ( !firstMessage ) {
out.write(demarcatorBytes);
}
out.write(mam.message());
}
});
numMessages++;
}
// add the message to the FlowFile's contents
final boolean firstMessage = (msgCount == 0);
flowFile = session.append(flowFile, new OutputStreamCallback() {
@Override
public void process(final OutputStream out) throws IOException {
if (!firstMessage) {
out.write(demarcatorBytes);
}
out.write(mam.message());
}
});
numMessages++;
}
// If we received no messages, remove the FlowFile. Otherwise, send to success.
if ( flowFile.getSize() == 0L ) {
session.remove(flowFile);
} else {
flowFile = session.putAllAttributes(flowFile, attributes);
final long millis = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - start);
session.getProvenanceReporter().receive(flowFile, "kafka://" + topic, "Received " + numMessages + " Kafka messages", millis);
getLogger().info("Successfully received {} from Kafka with {} messages in {} millis", new Object[] {flowFile, numMessages, millis});
session.transfer(flowFile, REL_SUCCESS);
}
} catch (final Exception e) {
getLogger().error("Failed to receive FlowFile from Kafka due to {}", new Object[] {e});
if ( flowFile != null ) {
session.remove(flowFile);
}
} finally {
// Remove the current thread from the Set of Threads to interrupt.
interruptionLock.lock();
try {
interruptableThreads.remove(Thread.currentThread());
} finally {
interruptionLock.unlock();
}
// If we received no messages, remove the FlowFile. Otherwise, send to success.
if (flowFile.getSize() == 0L) {
session.remove(flowFile);
} else {
flowFile = session.putAllAttributes(flowFile, attributes);
final long millis = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - start);
session.getProvenanceReporter().receive(flowFile, "kafka://" + topic, "Received " + numMessages + " Kafka messages", millis);
getLogger().info("Successfully received {} from Kafka with {} messages in {} millis", new Object[]{flowFile, numMessages, millis});
session.transfer(flowFile, REL_SUCCESS);
}
} catch (final Exception e) {
getLogger().error("Failed to receive FlowFile from Kafka due to {}", new Object[]{e});
if (flowFile != null) {
session.remove(flowFile);
}
} finally {
// Remove the current thread from the Set of Threads to interrupt.
interruptionLock.lock();
try {
interruptableThreads.remove(Thread.currentThread());
} finally {
interruptionLock.unlock();
}
// Add the iterator back to the queue
if ( iterator != null ) {
streamIterators.offer(iterator);
}
}
// Add the iterator back to the queue
if (iterator != null) {
streamIterators.offer(iterator);
}
}
}
}

213
nifi/nifi-nar-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/main/java/org/apache/nifi/processors/kafka/PutKafka.java
View File

@ -61,94 +61,99 @@ import scala.actors.threadpool.Arrays;
@Tags({"Apache", "Kafka", "Put", "Send", "Message", "PubSub"})
@CapabilityDescription("Sends the contents of a FlowFile as a message to Apache Kafka")
public class PutKafka extends AbstractProcessor {
private static final String SINGLE_BROKER_REGEX = ".*?\\:\\d{3,5}";
private static final String BROKER_REGEX = SINGLE_BROKER_REGEX + "(?:,\\s*" + SINGLE_BROKER_REGEX + ")*";
public static final AllowableValue DELIVERY_REPLICATED = new AllowableValue("-1", "Guarantee Replicated Delivery", "FlowFile will be routed to failure unless the message is replicated to the appropriate number of Kafka Nodes according to the Topic configuration");
public static final AllowableValue DELIVERY_ONE_NODE = new AllowableValue("1", "Guarantee Single Node Delivery", "FlowFile will be routed to success if the message is received by a single Kafka node, whether or not it is replicated. This is faster than <Guarantee Replicated Delivery> but can result in data loss if a Kafka node crashes");
public static final AllowableValue DELIVERY_BEST_EFFORT = new AllowableValue("0", "Best Effort", "FlowFile will be routed to success after successfully writing the content to a Kafka node, without waiting for a response. This provides the best performance but may result in data loss.");
public static final AllowableValue DELIVERY_REPLICATED = new AllowableValue("-1", "Guarantee Replicated Delivery", "FlowFile will be routed to"
+ " failure unless the message is replicated to the appropriate number of Kafka Nodes according to the Topic configuration");
public static final AllowableValue DELIVERY_ONE_NODE = new AllowableValue("1", "Guarantee Single Node Delivery", "FlowFile will be routed"
+ " to success if the message is received by a single Kafka node, whether or not it is replicated. This is faster than"
+ " <Guarantee Replicated Delivery> but can result in data loss if a Kafka node crashes");
public static final AllowableValue DELIVERY_BEST_EFFORT = new AllowableValue("0", "Best Effort", "FlowFile will be routed to success after"
+ " successfully writing the content to a Kafka node, without waiting for a response. This provides the best performance but may result"
+ " in data loss.");
public static final PropertyDescriptor SEED_BROKERS = new PropertyDescriptor.Builder()
.name("Known Brokers")
.description("A comma-separated list of known Kafka Brokers in the format <host>:<port>")
.required(true)
.addValidator(StandardValidators.createRegexMatchingValidator(Pattern.compile(BROKER_REGEX)))
.expressionLanguageSupported(false)
.build();
.name("Known Brokers")
.description("A comma-separated list of known Kafka Brokers in the format <host>:<port>")
.required(true)
.addValidator(StandardValidators.createRegexMatchingValidator(Pattern.compile(BROKER_REGEX)))
.expressionLanguageSupported(false)
.build();
public static final PropertyDescriptor TOPIC = new PropertyDescriptor.Builder()
.name("Topic Name")
.description("The Kafka Topic of interest")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(true)
.build();
.name("Topic Name")
.description("The Kafka Topic of interest")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(true)
.build();
public static final PropertyDescriptor KEY = new PropertyDescriptor.Builder()
.name("Kafka Key")
.description("The Key to use for the Message")
.required(false)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(true)
.build();
.name("Kafka Key")
.description("The Key to use for the Message")
.required(false)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(true)
.build();
public static final PropertyDescriptor DELIVERY_GUARANTEE = new PropertyDescriptor.Builder()
.name("Delivery Guarantee")
.description("Specifies the requirement for guaranteeing that a message is sent to Kafka")
.required(true)
.expressionLanguageSupported(false)
.allowableValues(DELIVERY_BEST_EFFORT, DELIVERY_ONE_NODE, DELIVERY_REPLICATED)
.defaultValue(DELIVERY_BEST_EFFORT.getValue())
.build();
.name("Delivery Guarantee")
.description("Specifies the requirement for guaranteeing that a message is sent to Kafka")
.required(true)
.expressionLanguageSupported(false)
.allowableValues(DELIVERY_BEST_EFFORT, DELIVERY_ONE_NODE, DELIVERY_REPLICATED)
.defaultValue(DELIVERY_BEST_EFFORT.getValue())
.build();
public static final PropertyDescriptor MESSAGE_DELIMITER = new PropertyDescriptor.Builder()
.name("Message Delimiter")
.description("Specifies the delimiter to use for splitting apart multiple messages within a single FlowFile. "
+ "If not specified, the entire content of the FlowFile will be used as a single message. "
+ "If specified, the contents of the FlowFile will be split on this delimiter and each section "
+ "sent as a separate Kafka message.")
.required(false)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(true)
.build();
.name("Message Delimiter")
.description("Specifies the delimiter to use for splitting apart multiple messages within a single FlowFile. "
+ "If not specified, the entire content of the FlowFile will be used as a single message. "
+ "If specified, the contents of the FlowFile will be split on this delimiter and each section "
+ "sent as a separate Kafka message.")
.required(false)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(true)
.build();
public static final PropertyDescriptor MAX_BUFFER_SIZE = new PropertyDescriptor.Builder()
.name("Max Buffer Size")
.description("The maximum amount of data to buffer in memory before sending to Kafka")
.required(true)
.addValidator(StandardValidators.DATA_SIZE_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("1 MB")
.build();
.name("Max Buffer Size")
.description("The maximum amount of data to buffer in memory before sending to Kafka")
.required(true)
.addValidator(StandardValidators.DATA_SIZE_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("1 MB")
.build();
public static final PropertyDescriptor TIMEOUT = new PropertyDescriptor.Builder()
.name("Communications Timeout")
.description("The amount of time to wait for a response from Kafka before determining that there is a communications error")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("30 secs")
.build();
.name("Communications Timeout")
.description("The amount of time to wait for a response from Kafka before determining that there is a communications error")
.required(true)
.addValidator(StandardValidators.TIME_PERIOD_VALIDATOR)
.expressionLanguageSupported(false)
.defaultValue("30 secs")
.build();
public static final PropertyDescriptor CLIENT_NAME = new PropertyDescriptor.Builder()
.name("Client Name")
.description("Client Name to use when communicating with Kafka")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
.name("Client Name")
.description("Client Name to use when communicating with Kafka")
.required(true)
.addValidator(StandardValidators.NON_EMPTY_VALIDATOR)
.expressionLanguageSupported(false)
.build();
public static final Relationship REL_SUCCESS = new Relationship.Builder()
.name("success")
.description("Any FlowFile that is successfully sent to Kafka will be routed to this Relationship")
.build();
.name("success")
.description("Any FlowFile that is successfully sent to Kafka will be routed to this Relationship")
.build();
public static final Relationship REL_FAILURE = new Relationship.Builder()
.name("failure")
.description("Any FlowFile that cannot be sent to Kafka will be routed to this Relationship")
.build();
.name("failure")
.description("Any FlowFile that cannot be sent to Kafka will be routed to this Relationship")
.build();
private final BlockingQueue<Producer<byte[], byte[]>> producers = new LinkedBlockingQueue<>();
@Override
protected List<PropertyDescriptor> getSupportedPropertyDescriptors() {
final PropertyDescriptor clientName = new PropertyDescriptor.Builder()
.fromPropertyDescriptor(CLIENT_NAME)
.defaultValue("NiFi-" + getIdentifier())
.build();
final PropertyDescriptor clientName = new PropertyDescriptor.Builder()
.fromPropertyDescriptor(CLIENT_NAME)
.defaultValue("NiFi-" + getIdentifier())
.build();
final List<PropertyDescriptor> props = new ArrayList<>();
props.add(SEED_BROKERS);
@ -170,14 +175,13 @@ public class PutKafka extends AbstractProcessor {
return relationships;
}
@OnStopped
public void closeProducers() {
Producer<byte[], byte[]> producer;
Producer<byte[], byte[]> producer;
while ((producer = producers.poll()) != null) {
producer.close();
}
while ((producer = producers.poll()) != null) {
producer.close();
}
}
protected ProducerConfig createConfig(final ProcessContext context) {
@ -196,51 +200,51 @@ public class PutKafka extends AbstractProcessor {
}
protected Producer<byte[], byte[]> createProducer(final ProcessContext context) {
return new Producer<>(createConfig(context));
return new Producer<>(createConfig(context));
}
private Producer<byte[], byte[]> borrowProducer(final ProcessContext context) {
Producer<byte[], byte[]> producer = producers.poll();
return producer == null ? createProducer(context) : producer;
Producer<byte[], byte[]> producer = producers.poll();
return producer == null ? createProducer(context) : producer;
}
private void returnProducer(final Producer<byte[], byte[]> producer) {
producers.offer(producer);
producers.offer(producer);
}
@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
FlowFile flowFile = session.get();
if ( flowFile == null ) {
return;
}
FlowFile flowFile = session.get();
if (flowFile == null) {
return;
}
final long start = System.nanoTime();
final long start = System.nanoTime();
final String topic = context.getProperty(TOPIC).evaluateAttributeExpressions(flowFile).getValue();
final String key = context.getProperty(KEY).evaluateAttributeExpressions(flowFile).getValue();
final byte[] keyBytes = (key == null) ? null : key.getBytes(StandardCharsets.UTF_8);
String delimiter = context.getProperty(MESSAGE_DELIMITER).evaluateAttributeExpressions(flowFile).getValue();
if ( delimiter != null ) {
if (delimiter != null) {
delimiter = delimiter.replace("\\n", "\n").replace("\\r", "\r").replace("\\t", "\t");
}
final long maxBufferSize = context.getProperty(MAX_BUFFER_SIZE).asDataSize(DataUnit.B).longValue();
final Producer<byte[], byte[]> producer = borrowProducer(context);
if ( delimiter == null ) {
if (delimiter == null) {
// Send the entire FlowFile as a single message.
final byte[] value = new byte[(int) flowFile.getSize()];
session.read(flowFile, new InputStreamCallback() {
@Override
public void process(final InputStream in) throws IOException {
StreamUtils.fillBuffer(in, value);
}
@Override
public void process(final InputStream in) throws IOException {
StreamUtils.fillBuffer(in, value);
}
});
boolean error = false;
try {
final KeyedMessage<byte[], byte[]> message;
if ( key == null ) {
if (key == null) {
message = new KeyedMessage<>(topic, value);
} else {
message = new KeyedMessage<>(topic, keyBytes, value);
@ -251,13 +255,13 @@ public class PutKafka extends AbstractProcessor {
session.getProvenanceReporter().send(flowFile, "kafka://" + topic);
session.transfer(flowFile, REL_SUCCESS);
getLogger().info("Successfully sent {} to Kafka in {} millis", new Object[] {flowFile, TimeUnit.NANOSECONDS.toMillis(nanos)});
getLogger().info("Successfully sent {} to Kafka in {} millis", new Object[]{flowFile, TimeUnit.NANOSECONDS.toMillis(nanos)});
} catch (final Exception e) {
getLogger().error("Failed to send {} to Kafka due to {}; routing to failure", new Object[] {flowFile, e});
getLogger().error("Failed to send {} to Kafka due to {}; routing to failure", new Object[]{flowFile, e});
session.transfer(flowFile, REL_FAILURE);
error = true;
} finally {
if ( error ) {
if (error) {
producer.close();
} else {
returnProducer(producer);
@ -288,13 +292,13 @@ public class PutKafka extends AbstractProcessor {
int nextByte;
try (final InputStream bufferedIn = new BufferedInputStream(rawIn);
final ByteCountingInputStream in = new ByteCountingInputStream(bufferedIn)) {
final ByteCountingInputStream in = new ByteCountingInputStream(bufferedIn)) {
// read until we're out of data.
while (!streamFinished) {
nextByte = in.read();
if ( nextByte > -1 ) {
if (nextByte > -1) {
baos.write(nextByte);
}
@ -302,16 +306,16 @@ public class PutKafka extends AbstractProcessor {
// we ran out of data. This message is complete.
data = baos.toByteArray();
streamFinished = true;
} else if ( buffer.addAndCompare((byte) nextByte) ) {
} else if (buffer.addAndCompare((byte) nextByte)) {
// we matched our delimiter. This message is complete. We want all of the bytes from the
// underlying BAOS exception for the last 'delimiterBytes.length' bytes because we don't want
// the delimiter itself to be sent.
data = Arrays.copyOfRange(baos.getUnderlyingBuffer(), 0, baos.size() - delimiterBytes.length);
}
if ( data != null ) {
if (data != null) {
// If the message has no data, ignore it.
if ( data.length != 0 ) {
if (data.length != 0) {
// either we ran out of data or we reached the end of the message.
// Either way, create the message because it's ready to send.
final KeyedMessage<byte[], byte[]> message;
@ -361,7 +365,7 @@ public class PutKafka extends AbstractProcessor {
}
// If there are messages left, send them
if ( !messages.isEmpty() ) {
if (!messages.isEmpty()) {
try {
messagesSent.addAndGet(messages.size()); // add count of messages
producer.send(messages);
@ -376,7 +380,7 @@ public class PutKafka extends AbstractProcessor {
final long nanos = System.nanoTime() - start;
session.getProvenanceReporter().send(flowFile, "kafka://" + topic, "Sent " + messagesSent.get() + " messages");
session.transfer(flowFile, REL_SUCCESS);
getLogger().info("Successfully sent {} messages to Kafka for {} in {} millis", new Object[] {messagesSent.get(), flowFile, TimeUnit.NANOSECONDS.toMillis(nanos)});
getLogger().info("Successfully sent {} messages to Kafka for {} in {} millis", new Object[]{messagesSent.get(), flowFile, TimeUnit.NANOSECONDS.toMillis(nanos)});
} catch (final ProcessException pe) {
error = true;
@ -384,17 +388,18 @@ public class PutKafka extends AbstractProcessor {
// just route the FlowFile to failure. Otherwise, some messages were successful, so split them off and send them to
// 'success' while we send the others to 'failure'.
final long offset = lastMessageOffset.get();
if ( offset == 0L ) {
if (offset == 0L) {
// all of the messages failed to send. Route FlowFile to failure
getLogger().error("Failed to send {} to Kafka due to {}; routing to fialure", new Object[] {flowFile, pe.getCause()});
getLogger().error("Failed to send {} to Kafka due to {}; routing to fialure", new Object[]{flowFile, pe.getCause()});
session.transfer(flowFile, REL_FAILURE);
} else {
// Some of the messages were sent successfully. We want to split off the successful messages from the failed messages.
final FlowFile successfulMessages = session.clone(flowFile, 0L, offset);
final FlowFile failedMessages = session.clone(flowFile, offset, flowFile.getSize() - offset);
getLogger().error("Successfully sent {} of the messages from {} but then failed to send the rest. Original FlowFile split into two: {} routed to 'success', {} routed to 'failure'. Failure was due to {}", new Object[] {
messagesSent.get(), flowFile, successfulMessages, failedMessages, pe.getCause() });
getLogger().error("Successfully sent {} of the messages from {} but then failed to send the rest. Original FlowFile split into"
+ " two: {} routed to 'success', {} routed to 'failure'. Failure was due to {}", new Object[]{
messagesSent.get(), flowFile, successfulMessages, failedMessages, pe.getCause()});
session.transfer(successfulMessages, REL_SUCCESS);
session.transfer(failedMessages, REL_FAILURE);
@ -402,7 +407,7 @@ public class PutKafka extends AbstractProcessor {
session.getProvenanceReporter().send(successfulMessages, "kafka://" + topic);
}
} finally {
if ( error ) {
if (error) {
producer.close();
} else {
returnProducer(producer);

28
nifi/nifi-nar-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/main/resources/docs/org.apache.nifi.processors.kafka.GetKafka/additionalDetails.html
View File

@ -24,22 +24,22 @@
<!-- Processor Documentation ================================================== -->
<h2>Description:</h2>
<p>
This Processors polls <a href="http://kafka.apache.org/">Apache Kafka</a>
for data. When a message is received from Kafka, this Processor emits a FlowFile
where the content of the FlowFile is the value of the Kafka message. If the
message has a key associated with it, an attribute named <code>kafka.key</code>
will be added to the FlowFile, with the value being the UTF-8 Encoded value
of the Message's Key.
This Processors polls <a href="http://kafka.apache.org/">Apache Kafka</a>
for data. When a message is received from Kafka, this Processor emits a FlowFile
where the content of the FlowFile is the value of the Kafka message. If the
message has a key associated with it, an attribute named <code>kafka.key</code>
will be added to the FlowFile, with the value being the UTF-8 Encoded value
of the Message's Key.
</p>
<p>
Kafka supports the notion of a Consumer Group when pulling messages in order to
provide scalability while still offering a publish-subscribe interface. Each
Consumer Group must have a unique identifier. The Consumer Group identifier that
is used by NiFi is the UUID of the Processor. This means that all of the nodes
within a cluster will use the same Consumer Group Identifier so that they do
not receive duplicate data but multiple GetKafka Processors can be used to pull
from multiple Topics, as each Processor will receive a different Processor UUID
and therefore a different Consumer Group Identifier.
Kafka supports the notion of a Consumer Group when pulling messages in order to
provide scalability while still offering a publish-subscribe interface. Each
Consumer Group must have a unique identifier. The Consumer Group identifier that
is used by NiFi is the UUID of the Processor. This means that all of the nodes
within a cluster will use the same Consumer Group Identifier so that they do
not receive duplicate data but multiple GetKafka Processors can be used to pull
from multiple Topics, as each Processor will receive a different Processor UUID
and therefore a different Consumer Group Identifier.
</p>
</body>
</html>

30
nifi/nifi-nar-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/main/resources/docs/org.apache.nifi.processors.kafka.PutKafka/additionalDetails.html
View File

@ -24,22 +24,22 @@
<!-- Processor Documentation ================================================== -->
<h2>Description:</h2>
<p>
This Processors puts the contents of a FlowFile to a Topic in
<a href="http://kafka.apache.org/">Apache Kafka</a>. The full contents of
a FlowFile becomes the contents of a single message in Kafka.
This message is optionally assigned a key by using the
&lt;Kafka Key&gt; Property.
This Processors puts the contents of a FlowFile to a Topic in
<a href="http://kafka.apache.org/">Apache Kafka</a>. The full contents of
a FlowFile becomes the contents of a single message in Kafka.
This message is optionally assigned a key by using the
&lt;Kafka Key&gt; Property.
</p>
<p>
The Processor allows the user to configure an optional Message Delimiter that
can be used to send many messages per FlowFile. For example, a \n could be used
to indicate that the contents of the FlowFile should be used to send one message
per line of text. If the property is not set, the entire contents of the FlowFile
will be sent as a single message. When using the delimiter, if some messages are
successfully sent but other messages fail to send, the FlowFile will be FORKed into
two child FlowFiles, with the successfully sent messages being routed to 'success'
and the messages that could not be sent going to 'failure'.
</p>
<p>
The Processor allows the user to configure an optional Message Delimiter that
can be used to send many messages per FlowFile. For example, a \n could be used
to indicate that the contents of the FlowFile should be used to send one message
per line of text. If the property is not set, the entire contents of the FlowFile
will be sent as a single message. When using the delimiter, if some messages are
successfully sent but other messages fail to send, the FlowFile will be FORKed into
two child FlowFiles, with the successfully sent messages being routed to 'success'
and the messages that could not be sent going to 'failure'.
</p>
</body>
</html>

14
nifi/nifi-nar-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/test/java/org/apache/nifi/processors/kafka/TestGetKafka.java
View File

@ -37,10 +37,9 @@ import org.mockito.stubbing.Answer;
public class TestGetKafka {
@BeforeClass
public static void configureLogging() {
System.setProperty("org.slf4j.simpleLogger.log.kafka", "INFO");
System.setProperty("org.slf4j.simpleLogger.log.kafka", "INFO");
System.setProperty("org.slf4j.simpleLogger.log.org.apache.nifi.processors.kafka", "INFO");
BasicConfigurator.configure();
}
@ -57,14 +56,13 @@ public class TestGetKafka {
runner.run(20, false);
final List<MockFlowFile> flowFiles = runner.getFlowFilesForRelationship(GetKafka.REL_SUCCESS);
for ( final MockFlowFile flowFile : flowFiles ) {
System.out.println(flowFile.getAttributes());
System.out.println(new String(flowFile.toByteArray()));
System.out.println();
for (final MockFlowFile flowFile : flowFiles) {
System.out.println(flowFile.getAttributes());
System.out.println(new String(flowFile.toByteArray()));
System.out.println();
}
}
@Test
public void testWithDelimiter() {
final List<String> messages = new ArrayList<>();
@ -109,8 +107,8 @@ public class TestGetKafka {
mff.assertContentEquals("Hello\nGood-bye");
}
private static class TestableProcessor extends GetKafka {
private final byte[] key;
private final Iterator<String> messageItr;

121
nifi/nifi-nar-bundles/nifi-kafka-bundle/nifi-kafka-processors/src/test/java/org/apache/nifi/processors/kafka/TestPutKafka.java
View File

@ -36,13 +36,19 @@ import org.apache.nifi.annotation.lifecycle.OnScheduled;
import org.apache.nifi.processor.ProcessContext;
import org.apache.nifi.provenance.ProvenanceReporter;
import org.apache.nifi.util.*;
import org.apache.nifi.util.MockFlowFile;
import org.apache.nifi.util.MockFlowFileQueue;
import org.apache.nifi.util.MockProcessSession;
import org.apache.nifi.util.MockProvenanceReporter;
import org.apache.nifi.util.MockSessionFactory;
import org.apache.nifi.util.SharedSessionState;
import org.apache.nifi.util.TestRunner;
import org.apache.nifi.util.TestRunners;
import org.junit.Ignore;
import org.junit.Test;
import org.mockito.Mockito;
import org.mockito.internal.util.reflection.Whitebox;
public class TestPutKafka {
@Test
@ -75,7 +81,6 @@ public class TestPutKafka {
assertTrue(Arrays.equals("9".getBytes(StandardCharsets.UTF_8), messages.get(10)));
}
@Test
public void testWithImmediateFailure() {
final TestableProcessor proc = new TestableProcessor(0);
@ -94,7 +99,6 @@ public class TestPutKafka {
mff.assertContentEquals(text);
}
@Test
public void testPartialFailure() {
final TestableProcessor proc = new TestableProcessor(2);
@ -119,7 +123,6 @@ public class TestPutKafka {
failureFF.assertContentEquals("3\n4");
}
@Test
public void testWithEmptyMessages() {
final TestableProcessor proc = new TestableProcessor();
@ -144,7 +147,7 @@ public class TestPutKafka {
}
@Test
public void testProvenanceReporterMessagesCount(){
public void testProvenanceReporterMessagesCount() {
final TestableProcessor processor = new TestableProcessor();
ProvenanceReporter spyProvenanceReporter = Mockito.spy(new MockProvenanceReporter());
@ -157,7 +160,6 @@ public class TestPutKafka {
MockProcessSession mockProcessSession = new MockProcessSession(sharedState);
Mockito.when(sessionFactory.createSession()).thenReturn(mockProcessSession);
final TestRunner runner = TestRunners.newTestRunner(processor);
Whitebox.setInternalState(runner, "flowFileQueue", flowFileQueue);
Whitebox.setInternalState(runner, "sessionFactory", sessionFactory);
@ -176,7 +178,7 @@ public class TestPutKafka {
}
@Test
public void testProvenanceReporterWithoutDelimiterMessagesCount(){
public void testProvenanceReporterWithoutDelimiterMessagesCount() {
final TestableProcessor processor = new TestableProcessor();
ProvenanceReporter spyProvenanceReporter = Mockito.spy(new MockProvenanceReporter());
@ -189,7 +191,6 @@ public class TestPutKafka {
MockProcessSession mockProcessSession = new MockProcessSession(sharedState);
Mockito.when(sessionFactory.createSession()).thenReturn(mockProcessSession);
final TestRunner runner = TestRunners.newTestRunner(processor);
Whitebox.setInternalState(runner, "flowFileQueue", flowFileQueue);
Whitebox.setInternalState(runner, "sessionFactory", sessionFactory);
@ -206,69 +207,69 @@ public class TestPutKafka {
Mockito.verify(spyProvenanceReporter, Mockito.atLeastOnce()).send(mockFlowFile, "kafka://topic1");
}
@Test
@Ignore("Intended only for local testing; requires an actual running instance of Kafka & ZooKeeper...")
public void testKeyValuePut() {
final TestRunner runner = TestRunners.newTestRunner(PutKafka.class);
runner.setProperty(PutKafka.SEED_BROKERS, "192.168.0.101:9092");
runner.setProperty(PutKafka.TOPIC, "${kafka.topic}");
runner.setProperty(PutKafka.KEY, "${kafka.key}");
runner.setProperty(PutKafka.TIMEOUT, "3 secs");
runner.setProperty(PutKafka.DELIVERY_GUARANTEE, PutKafka.DELIVERY_REPLICATED.getValue());
@Test
@Ignore("Intended only for local testing; requires an actual running instance of Kafka & ZooKeeper...")
public void testKeyValuePut() {
final TestRunner runner = TestRunners.newTestRunner(PutKafka.class);
runner.setProperty(PutKafka.SEED_BROKERS, "192.168.0.101:9092");
runner.setProperty(PutKafka.TOPIC, "${kafka.topic}");
runner.setProperty(PutKafka.KEY, "${kafka.key}");
runner.setProperty(PutKafka.TIMEOUT, "3 secs");
runner.setProperty(PutKafka.DELIVERY_GUARANTEE, PutKafka.DELIVERY_REPLICATED.getValue());
final Map<String, String> attributes = new HashMap<>();
attributes.put("kafka.topic", "test");
attributes.put("kafka.key", "key3");
final Map<String, String> attributes = new HashMap<>();
attributes.put("kafka.topic", "test");
attributes.put("kafka.key", "key3");
final byte[] data = "Hello, World, Again! ;)".getBytes();
runner.enqueue(data, attributes);
runner.enqueue(data, attributes);
runner.enqueue(data, attributes);
runner.enqueue(data, attributes);
final byte[] data = "Hello, World, Again! ;)".getBytes();
runner.enqueue(data, attributes);
runner.enqueue(data, attributes);
runner.enqueue(data, attributes);
runner.enqueue(data, attributes);
runner.run(5);
runner.run(5);
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 4);
final List<MockFlowFile> mffs = runner.getFlowFilesForRelationship(PutKafka.REL_SUCCESS);
final MockFlowFile mff = mffs.get(0);
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 4);
final List<MockFlowFile> mffs = runner.getFlowFilesForRelationship(PutKafka.REL_SUCCESS);
final MockFlowFile mff = mffs.get(0);
assertTrue(Arrays.equals(data, mff.toByteArray()));
}
assertTrue(Arrays.equals(data, mff.toByteArray()));
}
private static class TestableProcessor extends PutKafka {
private static class TestableProcessor extends PutKafka {
private MockProducer producer;
private int failAfter = Integer.MAX_VALUE;
private MockProducer producer;
private int failAfter = Integer.MAX_VALUE;
public TestableProcessor() {
}
public TestableProcessor() {
}
public TestableProcessor(final int failAfter) {
this.failAfter = failAfter;
}
public TestableProcessor(final int failAfter) {
this.failAfter = failAfter;
}
@OnScheduled
public void instantiateProducer(final ProcessContext context) {
producer = new MockProducer(createConfig(context));
producer.setFailAfter(failAfter);
}
@OnScheduled
public void instantiateProducer(final ProcessContext context) {
producer = new MockProducer(createConfig(context));
producer.setFailAfter(failAfter);
}
@Override
protected Producer<byte[], byte[]> createProducer(final ProcessContext context) {
return producer;
}
@Override
protected Producer<byte[], byte[]> createProducer(final ProcessContext context) {
return producer;
}
public MockProducer getProducer() {
return producer;
}
}
public MockProducer getProducer() {
return producer;
}
}
private static class MockProducer extends Producer<byte[], byte[]> {
private static class MockProducer extends Producer<byte[], byte[]> {
private int sendCount = 0;
private int failAfter = Integer.MAX_VALUE;
private int sendCount = 0;
private int failAfter = Integer.MAX_VALUE;
private final List<byte[]> messages = new ArrayList<>();
private final List<byte[]> messages = new ArrayList<>();
public MockProducer(final ProducerConfig config) {
super(config);
@ -276,7 +277,7 @@ public class TestPutKafka {
@Override
public void send(final KeyedMessage<byte[], byte[]> message) {
if ( ++sendCount > failAfter ) {
if (++sendCount > failAfter) {
throw new FailedToSendMessageException("Failed to send message", new RuntimeException("Unit test told to fail after " + failAfter + " successful messages"));
} else {
messages.add(message.message());
@ -289,7 +290,7 @@ public class TestPutKafka {
@Override
public void send(final List<KeyedMessage<byte[], byte[]>> messages) {
for ( final KeyedMessage<byte[], byte[]> msg : messages ) {
for (final KeyedMessage<byte[], byte[]> msg : messages) {
send(msg);
}
}
@ -297,6 +298,6 @@ public class TestPutKafka {
public void setFailAfter(final int successCount) {
failAfter = successCount;
}
}
}
}

14
nifi/nifi-nar-bundles/nifi-kafka-bundle/pom.xml
View File

@ -26,12 +26,12 @@
<module>nifi-kafka-nar</module>
</modules>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.apache.nifi</groupId>
<artifactId>nifi-kafka-processors</artifactId>
<version>0.1.0-incubating-SNAPSHOT</version>
</dependency>
</dependencies>
<dependencies>
<dependency>
<groupId>org.apache.nifi</groupId>
<artifactId>nifi-kafka-processors</artifactId>
<version>0.1.0-incubating-SNAPSHOT</version>
</dependency>
</dependencies>
</dependencyManagement>
</project>