mirror of https://github.com/apache/nifi.git
NIFI-1645 refactored PutKafka
- used newest API available in 0.8.* version - added PutKafka integration tests - Kafka module code coverage is at 85% NIFI-1645 polishing NIFI-1645 PR comments round 1 NIFI-1645 PR comments round 2 NIFI-1645 change to use async Kafka producer NIFI-1645 polishing NIFI-1645 polishing NIFI-1645 polishing NIFI-1645 changed from java.util.Scanner to custom StreamScanner NIFI-1645 polishing NIFI-1645 final polish
This commit is contained in:
Oleg Zhurakousky
parent
736896246c
commit
e0e00ff282
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@ -0,0 +1,203 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
|
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* contributor license agreements. See the NOTICE file distributed with
|
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* this work for additional information regarding copyright ownership.
|
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* The ASF licenses this file to You under the Apache License, Version 2.0
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||||
* (the "License"); you may not use this file except in compliance with
|
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.nifi.processors.kafka;
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import java.io.InputStream;
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import java.util.ArrayList;
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import java.util.BitSet;
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import java.util.List;
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import java.util.Properties;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.Future;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.TimeoutException;
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import org.apache.kafka.clients.producer.KafkaProducer;
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import org.apache.kafka.clients.producer.ProducerConfig;
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import org.apache.kafka.clients.producer.ProducerRecord;
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import org.apache.kafka.clients.producer.RecordMetadata;
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import org.apache.kafka.common.serialization.ByteArraySerializer;
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import org.apache.nifi.flowfile.FlowFile;
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import org.apache.nifi.logging.ProcessorLog;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import kafka.producer.KeyedMessage;
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import kafka.producer.Partitioner;
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/**
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* Wrapper over {@link KafkaProducer} to assist {@link PutKafka} processor with
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* sending content of {@link FlowFile}s to Kafka.
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*/
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public class KafkaPublisher implements AutoCloseable {
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private static final Logger logger = LoggerFactory.getLogger(KafkaPublisher.class);
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private final KafkaProducer<byte[], byte[]> producer;
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private final Partitioner partitioner;
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private final long ackWaitTime;
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private ProcessorLog processLog;
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/**
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* Creates an instance of this class as well as the instance of the
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* corresponding Kafka {@link KafkaProducer} using provided Kafka
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* configuration properties.
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*/
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KafkaPublisher(Properties kafkaProperties) {
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kafkaProperties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, ByteArraySerializer.class.getName());
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kafkaProperties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, ByteArraySerializer.class.getName());
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this.producer = new KafkaProducer<byte[], byte[]>(kafkaProperties);
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this.ackWaitTime = Long.parseLong(kafkaProperties.getProperty(ProducerConfig.TIMEOUT_CONFIG)) * 2;
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try {
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if (kafkaProperties.containsKey("partitioner.class")){
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this.partitioner = (Partitioner) Class.forName(kafkaProperties.getProperty("partitioner.class")).newInstance();
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} else {
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this.partitioner = null;
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}
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} catch (Exception e) {
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throw new IllegalStateException("Failed to create partitioner", e);
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}
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}
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/**
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*
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*/
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void setProcessLog(ProcessorLog processLog) {
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this.processLog = processLog;
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}
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/**
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* Publishes messages to Kafka topic. It supports three publishing
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* mechanisms.
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* <ul>
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* <li>Sending the entire content stream as a single Kafka message.</li>
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* <li>Splitting the incoming content stream into chunks and sending
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* individual chunks as separate Kafka messages.</li>
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* <li>Splitting the incoming content stream into chunks and sending only
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* the chunks that have failed previously @see
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* {@link SplittableMessageContext#getFailedSegments()}.</li>
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* </ul>
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* This method assumes content stream affinity where it is expected that the
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* content stream that represents the same Kafka message(s) will remain the
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* same across possible retries. This is required specifically for cases
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* where delimiter is used and a single content stream may represent
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* multiple Kafka messages. The failed segment list will keep the index of
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* of each content stream segment that had failed to be sent to Kafka, so
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* upon retry only the failed segments are sent.
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*
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* @param messageContext
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* instance of {@link SplittableMessageContext} which hold
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* context information about the message to be sent
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* @param contentStream
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* instance of open {@link InputStream} carrying the content of
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* the message(s) to be send to Kafka
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* @param partitionKey
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* the value of the partition key. Only relevant is user wishes
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* to provide a custom partition key instead of relying on
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* variety of provided {@link Partitioner}(s)
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* @return The set containing the failed segment indexes for messages that
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* failed to be sent to Kafka.
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*/
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BitSet publish(SplittableMessageContext messageContext, InputStream contentStream, Integer partitionKey) {
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List<Future<RecordMetadata>> sendFutures = new ArrayList<>();
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BitSet prevFailedSegmentIndexes = messageContext.getFailedSegments();
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int segmentCounter = 0;
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StreamScanner scanner = new StreamScanner(contentStream, messageContext.getDelimiterPattern());
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while (scanner.hasNext()) {
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byte[] content = scanner.next();
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if (content.length > 0){
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byte[] key = messageContext.getKeyBytes();
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String topicName = messageContext.getTopicName();
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if (partitionKey == null && key != null) {
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partitionKey = this.getPartition(key, topicName);
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}
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if (prevFailedSegmentIndexes == null || prevFailedSegmentIndexes.get(segmentCounter)) {
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ProducerRecord<byte[], byte[]> message = new ProducerRecord<byte[], byte[]>(topicName, partitionKey, key, content);
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sendFutures.add(this.toKafka(message));
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}
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segmentCounter++;
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}
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}
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scanner.close();
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return this.processAcks(sendFutures);
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}
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/**
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*
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*/
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private BitSet processAcks(List<Future<RecordMetadata>> sendFutures) {
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int segmentCounter = 0;
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BitSet failedSegments = new BitSet();
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for (Future<RecordMetadata> future : sendFutures) {
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try {
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future.get(this.ackWaitTime, TimeUnit.MILLISECONDS);
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} catch (InterruptedException e) {
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failedSegments.set(segmentCounter);
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Thread.currentThread().interrupt();
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logger.warn("Interrupted while waiting for acks from Kafka");
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if (this.processLog != null) {
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this.processLog.warn("Interrupted while waiting for acks from Kafka");
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}
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} catch (ExecutionException e) {
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failedSegments.set(segmentCounter);
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logger.error("Failed while waiting for acks from Kafka", e);
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if (this.processLog != null) {
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this.processLog.error("Failed while waiting for acks from Kafka", e);
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}
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} catch (TimeoutException e) {
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failedSegments.set(segmentCounter);
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logger.warn("Timed out while waiting for acks from Kafka");
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if (this.processLog != null) {
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this.processLog.warn("Timed out while waiting for acks from Kafka");
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}
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}
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segmentCounter++;
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}
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return failedSegments;
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}
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/**
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*
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*/
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private int getPartition(Object key, String topicName) {
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int partSize = this.producer.partitionsFor(topicName).size();
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return this.partitioner.partition(key, partSize);
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}
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/**
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* Closes {@link KafkaProducer}
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*/
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@Override
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public void close() throws Exception {
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this.producer.close();
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}
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/**
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* Sends the provided {@link KeyedMessage} to Kafka async returning
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* {@link Future}
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*/
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private Future<RecordMetadata> toKafka(ProducerRecord<byte[], byte[]> message) {
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if (logger.isDebugEnabled()) {
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logger.debug("Publishing message to '" + message.topic() + "' topic.");
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}
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return this.producer.send(message);
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}
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}
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.nifi.processors.kafka;
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import java.util.Random;
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import kafka.producer.Partitioner;
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/**
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* Collection of implementation of common Kafka {@link Partitioner}s.
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*/
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final public class Partitioners {
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private Partitioners() {
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}
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/**
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* {@link Partitioner} that implements 'round-robin' mechanism which evenly
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* distributes load between all available partitions.
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*/
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public static class RoundRobinPartitioner implements Partitioner {
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private volatile int index;
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@Override
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public int partition(Object key, int numberOfPartitions) {
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int partitionIndex = this.next(numberOfPartitions);
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return partitionIndex;
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}
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private int next(int numberOfPartitions) {
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if (index == numberOfPartitions) {
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index = 0;
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}
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int indexToReturn = index++;
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return indexToReturn;
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}
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}
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/**
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* {@link Partitioner} that implements 'random' mechanism which randomly
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* distributes the load between all available partitions.
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*/
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public static class RandomPartitioner implements Partitioner {
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private final Random random;
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public RandomPartitioner() {
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this.random = new Random();
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}
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@Override
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public int partition(Object key, int numberOfPartitions) {
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return this.random.nextInt(numberOfPartitions);
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}
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}
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/**
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* {@link Partitioner} that implements 'key hash' mechanism which
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* distributes the load between all available partitions based on hashing
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* the value of the key.
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*/
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public static class HashPartitioner implements Partitioner {
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@Override
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public int partition(Object key, int numberOfPartitions) {
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if (key != null) {
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return (key.hashCode() & Integer.MAX_VALUE) % numberOfPartitions;
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}
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return 0;
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}
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}
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}
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File diff suppressed because it is too large
Load Diff
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@ -0,0 +1,114 @@
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/*
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* Licensed to the Apache Software Foundation (ASF) under one or more
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* contributor license agreements. See the NOTICE file distributed with
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* this work for additional information regarding copyright ownership.
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* The ASF licenses this file to You under the Apache License, Version 2.0
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* (the "License"); you may not use this file except in compliance with
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* the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
|
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
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* See the License for the specific language governing permissions and
|
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* limitations under the License.
|
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*/
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package org.apache.nifi.processors.kafka;
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import java.util.BitSet;
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import org.apache.nifi.flowfile.FlowFile;
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/**
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* Context object that serves as a bridge between the content of a FlowFile and
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* Kafka message(s). It contains all necessary information to allow
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* {@link KafkaPublisher} to determine how a each content of the
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* {@link FlowFile} must be sent to Kafka.
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*/
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final class SplittableMessageContext {
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private final String topicName;
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private final String delimiterPattern;
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private final byte[] keyBytes;
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private volatile BitSet failedSegments;
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/**
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* @param topicName
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* the name of the Kafka topic
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* @param keyBytes
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* the instance of byte[] representing the key. Can be null.
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* @param delimiterPattern
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* the string representing the delimiter regex pattern. Can be
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* null. For cases where it is null the EOF pattern will be used
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* - "(\\W)\\Z".
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*/
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SplittableMessageContext(String topicName, byte[] keyBytes, String delimiterPattern) {
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this.topicName = topicName;
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this.keyBytes = keyBytes;
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this.delimiterPattern = delimiterPattern != null ? delimiterPattern : "(\\W)\\Z";
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}
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/**
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*
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*/
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@Override
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public String toString() {
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return "topic: '" + topicName + "'; delimiter: '" + delimiterPattern + "'";
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}
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/**
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*
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*/
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void setFailedSegments(int... failedSegments) {
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this.failedSegments = new BitSet();
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for (int failedSegment : failedSegments) {
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this.failedSegments.set(failedSegment);
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}
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}
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/**
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*
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*/
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void setFailedSegmentsAsByteArray(byte[] failedSegments) {
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this.failedSegments = BitSet.valueOf(failedSegments);
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}
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/**
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* Returns the list of integers representing the segments (chunks) of the
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* delimited content stream that had failed to be sent to Kafka topic.
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*/
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BitSet getFailedSegments() {
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return this.failedSegments;
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}
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/**
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* Returns the name of the Kafka topic
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*/
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String getTopicName() {
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return this.topicName;
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}
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/**
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* Returns the value of the delimiter regex pattern.
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*/
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String getDelimiterPattern() {
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return this.delimiterPattern;
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}
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/**
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* Returns the key bytes as String
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*/
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String getKeyBytesAsString() {
|
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return new String(this.keyBytes);
|
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}
|
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|
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/**
|
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* Returns the key bytes
|
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*/
|
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byte[] getKeyBytes() {
|
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return this.keyBytes;
|
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}
|
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}
|
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|
|
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/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one or more
|
||||
* contributor license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright ownership.
|
||||
* The ASF licenses this file to You under the Apache License, Version 2.0
|
||||
* (the "License"); you may not use this file except in compliance with
|
||||
* the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
package org.apache.nifi.processors.kafka;
|
||||
|
||||
import java.io.BufferedInputStream;
|
||||
import java.io.InputStream;
|
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import java.util.Arrays;
|
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|
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import org.apache.nifi.stream.io.ByteArrayOutputStream;
|
||||
import org.apache.nifi.stream.io.util.NonThreadSafeCircularBuffer;
|
||||
|
||||
/**
|
||||
*
|
||||
*/
|
||||
class StreamScanner {
|
||||
|
||||
private final InputStream is;
|
||||
|
||||
private final byte[] delimiter;
|
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|
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private final NonThreadSafeCircularBuffer buffer;
|
||||
|
||||
private final ByteArrayOutputStream baos;
|
||||
|
||||
private byte[] data;
|
||||
|
||||
private boolean eos;
|
||||
|
||||
/**
|
||||
*
|
||||
*/
|
||||
StreamScanner(InputStream is, String delimiter) {
|
||||
this.is = new BufferedInputStream(is);
|
||||
this.delimiter = delimiter.getBytes();
|
||||
buffer = new NonThreadSafeCircularBuffer(this.delimiter);
|
||||
baos = new ByteArrayOutputStream();
|
||||
}
|
||||
|
||||
/**
|
||||
*
|
||||
*/
|
||||
boolean hasNext() {
|
||||
this.data = null;
|
||||
if (!this.eos) {
|
||||
try {
|
||||
boolean keepReading = true;
|
||||
while (keepReading) {
|
||||
byte b = (byte) this.is.read();
|
||||
if (b > -1) {
|
||||
baos.write(b);
|
||||
if (buffer.addAndCompare(b)) {
|
||||
this.data = Arrays.copyOfRange(baos.getUnderlyingBuffer(), 0, baos.size() - delimiter.length);
|
||||
keepReading = false;
|
||||
}
|
||||
} else {
|
||||
this.data = baos.toByteArray();
|
||||
keepReading = false;
|
||||
this.eos = true;
|
||||
}
|
||||
}
|
||||
baos.reset();
|
||||
} catch (Exception e) {
|
||||
throw new IllegalStateException("Failed while reading InputStream", e);
|
||||
}
|
||||
}
|
||||
return this.data != null;
|
||||
}
|
||||
|
||||
/**
|
||||
*
|
||||
*/
|
||||
byte[] next() {
|
||||
return this.data;
|
||||
}
|
||||
|
||||
void close() {
|
||||
this.baos.close();
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,205 @@
|
|||
/*
|
||||
* Licensed to the Apache Software Foundation (ASF) under one or more
|
||||
* contributor license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright ownership.
|
||||
* The ASF licenses this file to You under the Apache License, Version 2.0
|
||||
* (the "License"); you may not use this file except in compliance with
|
||||
* the License. You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
package org.apache.nifi.processors.kafka;
|
||||
|
||||
import static org.junit.Assert.assertEquals;
|
||||
import static org.junit.Assert.assertNotNull;
|
||||
import static org.junit.Assert.fail;
|
||||
|
||||
import java.io.ByteArrayInputStream;
|
||||
import java.io.InputStream;
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Properties;
|
||||
|
||||
import org.apache.nifi.processors.kafka.test.EmbeddedKafka;
|
||||
import org.apache.nifi.processors.kafka.test.EmbeddedKafkaProducerHelper;
|
||||
import org.junit.AfterClass;
|
||||
import org.junit.BeforeClass;
|
||||
import org.junit.Test;
|
||||
|
||||
import kafka.consumer.Consumer;
|
||||
import kafka.consumer.ConsumerConfig;
|
||||
import kafka.consumer.ConsumerIterator;
|
||||
import kafka.consumer.ConsumerTimeoutException;
|
||||
import kafka.consumer.KafkaStream;
|
||||
import kafka.javaapi.consumer.ConsumerConnector;
|
||||
|
||||
public class KafkaPublisherTest {
|
||||
|
||||
private static final String sampleData = "The true sign of intelligence is not knowledge but imagination.\n"
|
||||
+ "It's not that I'm so smart, it's just that I stay with problems longer.\n"
|
||||
+ "The only source of knowledge is experience.\n"
|
||||
+ "Only two things are infinite, the universe and human stupidity, and I'm not sure about the former.\n";
|
||||
|
||||
private static final String sampleData2 = "foo|bar|baz";
|
||||
|
||||
private static EmbeddedKafka kafkaLocal;
|
||||
|
||||
private static EmbeddedKafkaProducerHelper producerHelper;
|
||||
|
||||
@BeforeClass
|
||||
public static void bforeClass() {
|
||||
kafkaLocal = new EmbeddedKafka();
|
||||
kafkaLocal.start();
|
||||
producerHelper = new EmbeddedKafkaProducerHelper(kafkaLocal);
|
||||
}
|
||||
|
||||
@AfterClass
|
||||
public static void afterClass() throws Exception {
|
||||
producerHelper.close();
|
||||
kafkaLocal.stop();
|
||||
}
|
||||
|
||||
String test = "Khalid El Bakraoui rented an apartment in Brussels that was raided last week and both are suspected of having ties to "
|
||||
+ "the terror attacks in Paris in November, the source said. While Belgian officials say both brothers were suicide bombers, a U.S. "
|
||||
+ "official briefed earlier on preliminary evidence from the investigation says authorities are looking at the possibility that one of "
|
||||
+ "the airport explosions may have been caused by a bomb inside a suitcase and the other was a suicide bombing. But identifying the brothers "
|
||||
+ "should help spring the investigation forward, says Cedric Leighton, a CNN military analyst and the former deputy director for the Joint Chiefs of Staff.";
|
||||
|
||||
@Test
|
||||
public void validateSuccessfulSendAsWhole() throws Exception {
|
||||
InputStream fis = new ByteArrayInputStream(sampleData.getBytes(StandardCharsets.UTF_8));
|
||||
String topicName = "validateSuccessfulSendAsWhole";
|
||||
|
||||
Properties kafkaProperties = this.buildProducerProperties();
|
||||
KafkaPublisher publisher = new KafkaPublisher(kafkaProperties);
|
||||
|
||||
SplittableMessageContext messageContext = new SplittableMessageContext(topicName, null, null);
|
||||
|
||||
publisher.publish(messageContext, fis, null);
|
||||
|
||||
fis.close();
|
||||
publisher.close();
|
||||
|
||||
ConsumerIterator<byte[], byte[]> iter = this.buildConsumer(topicName);
|
||||
assertNotNull(iter.next());
|
||||
try {
|
||||
iter.next();
|
||||
} catch (ConsumerTimeoutException e) {
|
||||
// that's OK since this is the Kafka mechanism to unblock
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void validateSuccessfulSendAsDelimited() throws Exception {
|
||||
InputStream fis = new ByteArrayInputStream(sampleData.getBytes(StandardCharsets.UTF_8));
|
||||
String topicName = "validateSuccessfulSendAsDelimited";
|
||||
|
||||
Properties kafkaProperties = this.buildProducerProperties();
|
||||
KafkaPublisher publisher = new KafkaPublisher(kafkaProperties);
|
||||
|
||||
SplittableMessageContext messageContext = new SplittableMessageContext(topicName, null, "\n");
|
||||
|
||||
publisher.publish(messageContext, fis, null);
|
||||
publisher.close();
|
||||
|
||||
ConsumerIterator<byte[], byte[]> iter = this.buildConsumer(topicName);
|
||||
assertNotNull(iter.next());
|
||||
assertNotNull(iter.next());
|
||||
assertNotNull(iter.next());
|
||||
assertNotNull(iter.next());
|
||||
try {
|
||||
iter.next();
|
||||
fail();
|
||||
} catch (ConsumerTimeoutException e) {
|
||||
// that's OK since this is the Kafka mechanism to unblock
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void validateSuccessfulSendAsDelimited2() throws Exception {
|
||||
InputStream fis = new ByteArrayInputStream(sampleData2.getBytes(StandardCharsets.UTF_8));
|
||||
String topicName = "validateSuccessfulSendAsDelimited2";
|
||||
|
||||
Properties kafkaProperties = this.buildProducerProperties();
|
||||
KafkaPublisher publisher = new KafkaPublisher(kafkaProperties);
|
||||
|
||||
SplittableMessageContext messageContext = new SplittableMessageContext(topicName, null, "|");
|
||||
|
||||
publisher.publish(messageContext, fis, null);
|
||||
publisher.close();
|
||||
|
||||
ConsumerIterator<byte[], byte[]> iter = this.buildConsumer(topicName);
|
||||
assertNotNull(iter.next());
|
||||
assertNotNull(iter.next());
|
||||
assertNotNull(iter.next());
|
||||
try {
|
||||
iter.next();
|
||||
fail();
|
||||
} catch (ConsumerTimeoutException e) {
|
||||
// that's OK since this is the Kafka mechanism to unblock
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void validateSuccessfulReSendOfFailedSegments() throws Exception {
|
||||
InputStream fis = new ByteArrayInputStream(sampleData.getBytes(StandardCharsets.UTF_8));
|
||||
String topicName = "validateSuccessfulReSendOfFailedSegments";
|
||||
|
||||
Properties kafkaProperties = this.buildProducerProperties();
|
||||
|
||||
KafkaPublisher publisher = new KafkaPublisher(kafkaProperties);
|
||||
|
||||
SplittableMessageContext messageContext = new SplittableMessageContext(topicName, null, "\n");
|
||||
messageContext.setFailedSegments(1, 3);
|
||||
|
||||
publisher.publish(messageContext, fis, null);
|
||||
publisher.close();
|
||||
|
||||
ConsumerIterator<byte[], byte[]> iter = this.buildConsumer(topicName);
|
||||
String m1 = new String(iter.next().message());
|
||||
String m2 = new String(iter.next().message());
|
||||
assertEquals("It's not that I'm so smart, it's just that I stay with problems longer.", m1);
|
||||
assertEquals("Only two things are infinite, the universe and human stupidity, and I'm not sure about the former.", m2);
|
||||
try {
|
||||
iter.next();
|
||||
fail();
|
||||
} catch (ConsumerTimeoutException e) {
|
||||
// that's OK since this is the Kafka mechanism to unblock
|
||||
}
|
||||
}
|
||||
|
||||
private Properties buildProducerProperties() {
|
||||
Properties kafkaProperties = new Properties();
|
||||
kafkaProperties.setProperty("bootstrap.servers", "0.0.0.0:" + kafkaLocal.getKafkaPort());
|
||||
kafkaProperties.setProperty("serializer.class", "kafka.serializer.DefaultEncoder");
|
||||
kafkaProperties.setProperty("acks", "1");
|
||||
kafkaProperties.put("auto.create.topics.enable", "true");
|
||||
kafkaProperties.setProperty("partitioner.class", "org.apache.nifi.processors.kafka.Partitioners$RoundRobinPartitioner");
|
||||
kafkaProperties.setProperty("timeout.ms", "5000");
|
||||
return kafkaProperties;
|
||||
}
|
||||
|
||||
private ConsumerIterator<byte[], byte[]> buildConsumer(String topic) {
|
||||
Properties props = new Properties();
|
||||
props.put("zookeeper.connect", "localhost:" + kafkaLocal.getZookeeperPort());
|
||||
props.put("group.id", "test");
|
||||
props.put("consumer.timeout.ms", "5000");
|
||||
props.put("auto.offset.reset", "smallest");
|
||||
ConsumerConfig consumerConfig = new ConsumerConfig(props);
|
||||
ConsumerConnector consumer = Consumer.createJavaConsumerConnector(consumerConfig);
|
||||
Map<String, Integer> topicCountMap = new HashMap<>(1);
|
||||
topicCountMap.put(topic, 1);
|
||||
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
|
||||
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
|
||||
ConsumerIterator<byte[], byte[]> iter = streams.get(0).iterator();
|
||||
return iter;
|
||||
}
|
||||
}
|
||||
|
|
@ -17,462 +17,189 @@
|
|||
package org.apache.nifi.processors.kafka;
|
||||
|
||||
import static org.junit.Assert.assertEquals;
|
||||
import static org.junit.Assert.assertNotNull;
|
||||
import static org.junit.Assert.assertNull;
|
||||
import static org.junit.Assert.assertTrue;
|
||||
import static org.junit.Assert.fail;
|
||||
|
||||
import java.nio.charset.StandardCharsets;
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collections;
|
||||
import java.util.BitSet;
|
||||
import java.util.HashMap;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.Future;
|
||||
import java.util.Properties;
|
||||
|
||||
import org.apache.kafka.clients.producer.BufferExhaustedException;
|
||||
import org.apache.kafka.clients.producer.Callback;
|
||||
import org.apache.kafka.clients.producer.Producer;
|
||||
import org.apache.kafka.clients.producer.ProducerRecord;
|
||||
import org.apache.kafka.clients.producer.RecordMetadata;
|
||||
import org.apache.kafka.common.Metric;
|
||||
import org.apache.kafka.common.MetricName;
|
||||
import org.apache.kafka.common.Node;
|
||||
import org.apache.kafka.common.PartitionInfo;
|
||||
import org.apache.kafka.common.TopicPartition;
|
||||
import org.apache.kafka.common.serialization.ByteArraySerializer;
|
||||
import org.apache.nifi.provenance.ProvenanceEventRecord;
|
||||
import org.apache.nifi.provenance.ProvenanceEventType;
|
||||
import org.apache.nifi.processors.kafka.test.EmbeddedKafka;
|
||||
import org.apache.nifi.processors.kafka.test.EmbeddedKafkaProducerHelper;
|
||||
import org.apache.nifi.util.MockFlowFile;
|
||||
import org.apache.nifi.util.TestRunner;
|
||||
import org.apache.nifi.util.TestRunners;
|
||||
import org.junit.Assert;
|
||||
import org.junit.AfterClass;
|
||||
import org.junit.BeforeClass;
|
||||
import org.junit.Ignore;
|
||||
import org.junit.Test;
|
||||
|
||||
import kafka.common.FailedToSendMessageException;
|
||||
import kafka.consumer.Consumer;
|
||||
import kafka.consumer.ConsumerConfig;
|
||||
import kafka.consumer.ConsumerIterator;
|
||||
import kafka.consumer.KafkaStream;
|
||||
import kafka.javaapi.consumer.ConsumerConnector;
|
||||
|
||||
|
||||
public class TestPutKafka {
|
||||
|
||||
@Test
|
||||
public void testMultipleKeyValuePerFlowFile() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\\n");
|
||||
private static EmbeddedKafka kafkaLocal;
|
||||
|
||||
runner.enqueue("Hello World\nGoodbye\n1\n2\n3\n4\n5\n6\n7\n8\n9".getBytes());
|
||||
runner.run(2); // we have to run twice because the first iteration will result in data being added to a queue in the processor; the second onTrigger call will transfer FlowFiles.
|
||||
private static EmbeddedKafkaProducerHelper producerHelper;
|
||||
|
||||
@BeforeClass
|
||||
public static void bforeClass() {
|
||||
kafkaLocal = new EmbeddedKafka();
|
||||
kafkaLocal.start();
|
||||
producerHelper = new EmbeddedKafkaProducerHelper(kafkaLocal);
|
||||
}
|
||||
|
||||
@AfterClass
|
||||
public static void afterClass() throws Exception {
|
||||
producerHelper.close();
|
||||
kafkaLocal.stop();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testDelimitedMessagesWithKey() {
|
||||
String topicName = "testDelimitedMessagesWithKey";
|
||||
PutKafka putKafka = new PutKafka();
|
||||
TestRunner runner = TestRunners.newTestRunner(putKafka);
|
||||
runner.setProperty(PutKafka.TOPIC, topicName);
|
||||
runner.setProperty(PutKafka.CLIENT_NAME, "foo");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:" + kafkaLocal.getKafkaPort());
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
|
||||
runner.enqueue("Hello World\nGoodbye\n1\n2\n3\n4\n5".getBytes());
|
||||
runner.run(1, false);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 1);
|
||||
ConsumerIterator<byte[], byte[]> consumer = this.buildConsumer(topicName);
|
||||
assertEquals("Hello World", new String(consumer.next().message()));
|
||||
assertEquals("Goodbye", new String(consumer.next().message()));
|
||||
assertEquals("1", new String(consumer.next().message()));
|
||||
assertEquals("2", new String(consumer.next().message()));
|
||||
assertEquals("3", new String(consumer.next().message()));
|
||||
assertEquals("4", new String(consumer.next().message()));
|
||||
assertEquals("5", new String(consumer.next().message()));
|
||||
|
||||
final List<ProducerRecord<byte[], byte[]>> messages = ((MockProducer) proc.getProducer()).getMessages();
|
||||
assertEquals(11, messages.size());
|
||||
|
||||
assertTrue(Arrays.equals("Hello World".getBytes(StandardCharsets.UTF_8), messages.get(0).value()));
|
||||
assertTrue(Arrays.equals("Goodbye".getBytes(StandardCharsets.UTF_8), messages.get(1).value()));
|
||||
|
||||
for (int i = 1; i <= 9; i++) {
|
||||
assertTrue(Arrays.equals(String.valueOf(i).getBytes(StandardCharsets.UTF_8), messages.get(i + 1).value()));
|
||||
}
|
||||
runner.shutdown();
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testWithImmediateFailure() {
|
||||
final TestableProcessor proc = new TestableProcessor(0);
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
@Ignore
|
||||
public void testWithFailureAndPartialResend() throws Exception {
|
||||
String topicName = "testWithImmediateFailure";
|
||||
PutKafka putKafka = new PutKafka();
|
||||
final TestRunner runner = TestRunners.newTestRunner(putKafka);
|
||||
runner.setProperty(PutKafka.TOPIC, topicName);
|
||||
runner.setProperty(PutKafka.CLIENT_NAME, "foo");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\\n");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "0.0.0.0:" + kafkaLocal.getKafkaPort());
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
|
||||
final String text = "Hello World\nGoodbye\n1\n2\n3\n4\n5\n6\n7\n8\n9";
|
||||
final String text = "Hello World\nGoodbye\n1\n2";
|
||||
runner.enqueue(text.getBytes());
|
||||
runner.run(2);
|
||||
afterClass(); // kill Kafka right before send to ensure producer fails
|
||||
runner.run(1, false);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_FAILURE, 1);
|
||||
final MockFlowFile mff = runner.getFlowFilesForRelationship(PutKafka.REL_FAILURE).get(0);
|
||||
mff.assertContentEquals(text);
|
||||
}
|
||||
MockFlowFile ff = runner.getFlowFilesForRelationship(PutKafka.REL_FAILURE).get(0);
|
||||
String failedSegmentsStr = ff.getAttribute(PutKafka.ATTR_FAILED_SEGMENTS);
|
||||
BitSet fs = BitSet.valueOf(failedSegmentsStr.getBytes());
|
||||
assertTrue(fs.get(0));
|
||||
assertTrue(fs.get(1));
|
||||
assertTrue(fs.get(2));
|
||||
assertTrue(fs.get(3));
|
||||
String delimiter = ff.getAttribute(PutKafka.ATTR_DELIMITER);
|
||||
assertEquals("\n", delimiter);
|
||||
String key = ff.getAttribute(PutKafka.ATTR_KEY);
|
||||
assertEquals("key1", key);
|
||||
String topic = ff.getAttribute(PutKafka.ATTR_TOPIC);
|
||||
assertEquals(topicName, topic);
|
||||
|
||||
@Test
|
||||
public void testPartialFailure() {
|
||||
final TestableProcessor proc = new TestableProcessor(2); // fail after sending 2 messages.
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\\n");
|
||||
runner.setProperty(PutKafka.MAX_BUFFER_SIZE, "1 B");
|
||||
bforeClass();
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:" + kafkaLocal.getKafkaPort());
|
||||
Map<String, String> attr = new HashMap<>(ff.getAttributes());
|
||||
/*
|
||||
* So here we are emulating partial success. Basically even though all 4
|
||||
* messages failed to be sent by changing the ATTR_FAILED_SEGMENTS value
|
||||
* we essentially saying that only two failed and need to be resent.
|
||||
*/
|
||||
BitSet _fs = new BitSet();
|
||||
_fs.set(1);
|
||||
_fs.set(3);
|
||||
attr.put(PutKafka.ATTR_FAILED_SEGMENTS, new String(_fs.toByteArray(), StandardCharsets.UTF_8));
|
||||
ff.putAttributes(attr);
|
||||
runner.enqueue(ff);
|
||||
runner.run(1, false);
|
||||
MockFlowFile sff = runner.getFlowFilesForRelationship(PutKafka.REL_SUCCESS).get(0);
|
||||
assertNull(sff.getAttribute(PutKafka.ATTR_FAILED_SEGMENTS));
|
||||
assertNull(sff.getAttribute(PutKafka.ATTR_TOPIC));
|
||||
assertNull(sff.getAttribute(PutKafka.ATTR_KEY));
|
||||
assertNull(sff.getAttribute(PutKafka.ATTR_DELIMITER));
|
||||
|
||||
final byte[] bytes = "1\n2\n3\n4".getBytes();
|
||||
runner.enqueue(bytes);
|
||||
runner.run(2);
|
||||
ConsumerIterator<byte[], byte[]> consumer = this.buildConsumer(topicName);
|
||||
|
||||
runner.assertTransferCount(PutKafka.REL_SUCCESS, 1);
|
||||
runner.assertTransferCount(PutKafka.REL_FAILURE, 1);
|
||||
|
||||
final MockFlowFile successFF = runner.getFlowFilesForRelationship(PutKafka.REL_SUCCESS).get(0);
|
||||
successFF.assertContentEquals("1\n2\n");
|
||||
|
||||
final MockFlowFile failureFF = runner.getFlowFilesForRelationship(PutKafka.REL_FAILURE).get(0);
|
||||
failureFF.assertContentEquals("3\n4");
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testPartialFailureWithSuccessBeforeAndAfter() {
|
||||
final TestableProcessor proc = new TestableProcessor(2, 4); // fail after sending 2 messages, then stop failing after 4
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\\n");
|
||||
runner.setProperty(PutKafka.MAX_BUFFER_SIZE, "1 B");
|
||||
|
||||
final byte[] bytes = "1\n2\n3\n4\n5\n6".getBytes();
|
||||
runner.enqueue(bytes);
|
||||
runner.run(2);
|
||||
|
||||
runner.assertTransferCount(PutKafka.REL_SUCCESS, 2);
|
||||
runner.assertTransferCount(PutKafka.REL_FAILURE, 1);
|
||||
|
||||
final List<MockFlowFile> success = runner.getFlowFilesForRelationship(PutKafka.REL_SUCCESS);
|
||||
for (final MockFlowFile successFF : success) {
|
||||
if ('1' == successFF.toByteArray()[0]) {
|
||||
successFF.assertContentEquals("1\n2\n");
|
||||
} else if ('5' == successFF.toByteArray()[0]) {
|
||||
successFF.assertContentEquals("5\n6");
|
||||
} else {
|
||||
Assert.fail("Wrong content for FlowFile; contained " + new String(successFF.toByteArray()));
|
||||
}
|
||||
assertEquals("Goodbye", new String(consumer.next().message()));
|
||||
assertEquals("2", new String(consumer.next().message()));
|
||||
try {
|
||||
consumer.next();
|
||||
fail();
|
||||
} catch (Exception e) {
|
||||
// ignore
|
||||
}
|
||||
|
||||
final MockFlowFile failureFF = runner.getFlowFilesForRelationship(PutKafka.REL_FAILURE).get(0);
|
||||
failureFF.assertContentEquals("3\n4\n");
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
public void testWithEmptyMessages() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
String topicName = "testWithEmptyMessages";
|
||||
PutKafka putKafka = new PutKafka();
|
||||
final TestRunner runner = TestRunners.newTestRunner(putKafka);
|
||||
runner.setProperty(PutKafka.TOPIC, topicName);
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\\n");
|
||||
runner.setProperty(PutKafka.CLIENT_NAME, "foo");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:" + kafkaLocal.getKafkaPort());
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
|
||||
final byte[] bytes = "\n\n\n1\n2\n\n\n\n3\n4\n\n\n".getBytes();
|
||||
runner.enqueue(bytes);
|
||||
runner.run(2);
|
||||
runner.run(1);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 1);
|
||||
|
||||
final List<ProducerRecord<byte[], byte[]>> msgs = ((MockProducer) proc.getProducer()).getMessages();
|
||||
assertEquals(4, msgs.size());
|
||||
|
||||
for (int i = 1; i <= 4; i++) {
|
||||
assertTrue(Arrays.equals(String.valueOf(i).getBytes(), msgs.get(i - 1).value()));
|
||||
ConsumerIterator<byte[], byte[]> consumer = this.buildConsumer(topicName);
|
||||
assertNotNull(consumer.next());
|
||||
assertNotNull(consumer.next());
|
||||
assertNotNull(consumer.next());
|
||||
assertNotNull(consumer.next());
|
||||
try {
|
||||
consumer.next();
|
||||
fail();
|
||||
} catch (Exception e) {
|
||||
// ignore
|
||||
}
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testProvenanceReporterMessagesCount() {
|
||||
final TestableProcessor processor = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(processor);
|
||||
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\\n");
|
||||
|
||||
final byte[] bytes = "\n\n\n1\n2\n\n\n\n3\n4\n\n\n".getBytes();
|
||||
runner.enqueue(bytes);
|
||||
runner.run(2);
|
||||
|
||||
final List<ProvenanceEventRecord> events = runner.getProvenanceEvents();
|
||||
assertEquals(1, events.size());
|
||||
final ProvenanceEventRecord event = events.get(0);
|
||||
assertEquals(ProvenanceEventType.SEND, event.getEventType());
|
||||
assertEquals("kafka://localhost:1111/topics/topic1", event.getTransitUri());
|
||||
assertTrue(event.getDetails().startsWith("Sent 4 messages"));
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testProvenanceReporterWithoutDelimiterMessagesCount() {
|
||||
final TestableProcessor processor = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(processor);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
|
||||
final byte[] bytes = "\n\n\n1\n2\n\n\n\n3\n4\n\n\n".getBytes();
|
||||
runner.enqueue(bytes);
|
||||
runner.run(2);
|
||||
|
||||
final List<ProvenanceEventRecord> events = runner.getProvenanceEvents();
|
||||
assertEquals(1, events.size());
|
||||
final ProvenanceEventRecord event = events.get(0);
|
||||
assertEquals(ProvenanceEventType.SEND, event.getEventType());
|
||||
assertEquals("kafka://localhost:1111/topics/topic1", event.getTransitUri());
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testRoundRobinAcrossMultipleMessages() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.PARTITION_STRATEGY, PutKafka.ROUND_ROBIN_PARTITIONING);
|
||||
|
||||
runner.enqueue("hello".getBytes());
|
||||
runner.enqueue("there".getBytes());
|
||||
runner.enqueue("how are you".getBytes());
|
||||
runner.enqueue("today".getBytes());
|
||||
|
||||
runner.run(5);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 4);
|
||||
|
||||
final List<ProducerRecord<byte[], byte[]>> records = ((MockProducer) proc.getProducer()).getMessages();
|
||||
for (int i = 0; i < 3; i++) {
|
||||
assertEquals(i + 1, records.get(i).partition().intValue());
|
||||
}
|
||||
|
||||
assertEquals(1, records.get(3).partition().intValue());
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testRoundRobinAcrossMultipleMessagesInSameFlowFile() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.PARTITION_STRATEGY, PutKafka.ROUND_ROBIN_PARTITIONING);
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
|
||||
runner.enqueue("hello\nthere\nhow are you\ntoday".getBytes());
|
||||
|
||||
runner.run(2);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 1);
|
||||
|
||||
final List<ProducerRecord<byte[], byte[]>> records = ((MockProducer) proc.getProducer()).getMessages();
|
||||
for (int i = 0; i < 3; i++) {
|
||||
assertEquals(i + 1, records.get(i).partition().intValue());
|
||||
}
|
||||
|
||||
assertEquals(1, records.get(3).partition().intValue());
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
public void testUserDefinedPartition() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.PARTITION_STRATEGY, PutKafka.USER_DEFINED_PARTITIONING);
|
||||
runner.setProperty(PutKafka.PARTITION, "${part}");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
|
||||
final Map<String, String> attrs = new HashMap<>();
|
||||
attrs.put("part", "3");
|
||||
runner.enqueue("hello\nthere\nhow are you\ntoday".getBytes(), attrs);
|
||||
|
||||
runner.run(2);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 1);
|
||||
|
||||
final List<ProducerRecord<byte[], byte[]>> records = ((MockProducer) proc.getProducer()).getMessages();
|
||||
for (int i = 0; i < 4; i++) {
|
||||
assertEquals(3, records.get(i).partition().intValue());
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
@Test
|
||||
public void testUserDefinedPartitionWithInvalidValue() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.PARTITION_STRATEGY, PutKafka.USER_DEFINED_PARTITIONING);
|
||||
runner.setProperty(PutKafka.PARTITION, "${part}");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
|
||||
final Map<String, String> attrs = new HashMap<>();
|
||||
attrs.put("part", "bogus");
|
||||
runner.enqueue("hello\nthere\nhow are you\ntoday".getBytes(), attrs);
|
||||
|
||||
runner.run(2);
|
||||
|
||||
runner.assertAllFlowFilesTransferred(PutKafka.REL_SUCCESS, 1);
|
||||
|
||||
final List<ProducerRecord<byte[], byte[]>> records = ((MockProducer) proc.getProducer()).getMessages();
|
||||
// should all be the same partition, regardless of what partition it is.
|
||||
final int partition = records.get(0).partition().intValue();
|
||||
|
||||
for (int i = 0; i < 4; i++) {
|
||||
assertEquals(partition, records.get(i).partition().intValue());
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@Test
|
||||
public void testFullBuffer() {
|
||||
final TestableProcessor proc = new TestableProcessor();
|
||||
|
||||
final TestRunner runner = TestRunners.newTestRunner(proc);
|
||||
runner.setProperty(PutKafka.TOPIC, "topic1");
|
||||
runner.setProperty(PutKafka.KEY, "key1");
|
||||
runner.setProperty(PutKafka.SEED_BROKERS, "localhost:1234");
|
||||
runner.setProperty(PutKafka.MESSAGE_DELIMITER, "\n");
|
||||
runner.setProperty(PutKafka.MAX_BUFFER_SIZE, "5 B");
|
||||
proc.setMaxQueueSize(10L); // will take 4 bytes for key and 1 byte for value.
|
||||
|
||||
runner.enqueue("1\n2\n3\n4\n".getBytes());
|
||||
runner.run(2);
|
||||
|
||||
runner.assertTransferCount(PutKafka.REL_SUCCESS, 1);
|
||||
runner.assertTransferCount(PutKafka.REL_FAILURE, 1);
|
||||
|
||||
runner.getFlowFilesForRelationship(PutKafka.REL_SUCCESS).get(0).assertContentEquals("1\n2\n");
|
||||
runner.getFlowFilesForRelationship(PutKafka.REL_FAILURE).get(0).assertContentEquals("3\n4\n");
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Used to override the {@link #getProducer()} method so that we can enforce that our MockProducer is used
|
||||
*/
|
||||
private static class TestableProcessor extends PutKafka {
|
||||
private final MockProducer producer;
|
||||
|
||||
public TestableProcessor() {
|
||||
this(null);
|
||||
}
|
||||
|
||||
public TestableProcessor(final Integer failAfter) {
|
||||
this(failAfter, null);
|
||||
}
|
||||
|
||||
public TestableProcessor(final Integer failAfter, final Integer stopFailingAfter) {
|
||||
producer = new MockProducer();
|
||||
producer.setFailAfter(failAfter);
|
||||
producer.setStopFailingAfter(stopFailingAfter);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Producer<byte[], byte[]> getProducer() {
|
||||
return producer;
|
||||
}
|
||||
|
||||
public void setMaxQueueSize(final long bytes) {
|
||||
producer.setMaxQueueSize(bytes);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* We have our own Mock Producer, which is very similar to the Kafka-supplied one. However, with the Kafka-supplied
|
||||
* Producer, we don't have the ability to tell it to fail after X number of messages; rather, we can only tell it
|
||||
* to fail on the next message. Since we are sending multiple messages in a single onTrigger call for the Processor,
|
||||
* this doesn't allow us to test failure conditions adequately.
|
||||
*/
|
||||
private static class MockProducer implements Producer<byte[], byte[]> {
|
||||
|
||||
private int sendCount = 0;
|
||||
private Integer failAfter;
|
||||
private Integer stopFailingAfter;
|
||||
private long queueSize = 0L;
|
||||
private long maxQueueSize = Long.MAX_VALUE;
|
||||
|
||||
private final List<ProducerRecord<byte[], byte[]>> messages = new ArrayList<>();
|
||||
|
||||
public MockProducer() {
|
||||
}
|
||||
|
||||
public void setMaxQueueSize(final long bytes) {
|
||||
this.maxQueueSize = bytes;
|
||||
}
|
||||
|
||||
public List<ProducerRecord<byte[], byte[]>> getMessages() {
|
||||
return messages;
|
||||
}
|
||||
|
||||
public void setFailAfter(final Integer successCount) {
|
||||
failAfter = successCount;
|
||||
}
|
||||
|
||||
public void setStopFailingAfter(final Integer stopFailingAfter) {
|
||||
this.stopFailingAfter = stopFailingAfter;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Future<RecordMetadata> send(final ProducerRecord<byte[], byte[]> record) {
|
||||
return send(record, null);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Future<RecordMetadata> send(final ProducerRecord<byte[], byte[]> record, final Callback callback) {
|
||||
sendCount++;
|
||||
|
||||
final ByteArraySerializer serializer = new ByteArraySerializer();
|
||||
final int keyBytes = serializer.serialize(record.topic(), record.key()).length;
|
||||
final int valueBytes = serializer.serialize(record.topic(), record.value()).length;
|
||||
if (maxQueueSize - queueSize < keyBytes + valueBytes) {
|
||||
throw new BufferExhaustedException("Queue size is " + queueSize + " but serialized message is " + (keyBytes + valueBytes));
|
||||
}
|
||||
|
||||
queueSize += keyBytes + valueBytes;
|
||||
|
||||
if (failAfter != null && sendCount > failAfter && ((stopFailingAfter == null) || (sendCount < stopFailingAfter + 1))) {
|
||||
final Exception e = new FailedToSendMessageException("Failed to send message", new RuntimeException("Unit test told to fail after " + failAfter + " successful messages"));
|
||||
callback.onCompletion(null, e);
|
||||
} else {
|
||||
messages.add(record);
|
||||
final RecordMetadata meta = new RecordMetadata(new TopicPartition(record.topic(), record.partition() == null ? 1 : record.partition()), 0L, 0L);
|
||||
callback.onCompletion(meta, null);
|
||||
}
|
||||
|
||||
// we don't actually look at the Future in the processor, so we can just return null
|
||||
return null;
|
||||
}
|
||||
|
||||
@Override
|
||||
public List<PartitionInfo> partitionsFor(String topic) {
|
||||
final Node leader = new Node(1, "localhost", 1111);
|
||||
final Node node2 = new Node(2, "localhost-2", 2222);
|
||||
final Node node3 = new Node(3, "localhost-3", 3333);
|
||||
|
||||
final PartitionInfo partInfo1 = new PartitionInfo(topic, 1, leader, new Node[] {node2, node3}, new Node[0]);
|
||||
final PartitionInfo partInfo2 = new PartitionInfo(topic, 2, leader, new Node[] {node2, node3}, new Node[0]);
|
||||
final PartitionInfo partInfo3 = new PartitionInfo(topic, 3, leader, new Node[] {node2, node3}, new Node[0]);
|
||||
|
||||
final List<PartitionInfo> infos = new ArrayList<>(3);
|
||||
infos.add(partInfo1);
|
||||
infos.add(partInfo2);
|
||||
infos.add(partInfo3);
|
||||
return infos;
|
||||
}
|
||||
|
||||
@Override
|
||||
public Map<MetricName, ? extends Metric> metrics() {
|
||||
return Collections.emptyMap();
|
||||
}
|
||||
|
||||
@Override
|
||||
public void close() {
|
||||
}
|
||||
private ConsumerIterator<byte[], byte[]> buildConsumer(String topic) {
|
||||
Properties props = new Properties();
|
||||
props.put("zookeeper.connect", "0.0.0.0:" + kafkaLocal.getZookeeperPort());
|
||||
props.put("group.id", "test");
|
||||
props.put("consumer.timeout.ms", "5000");
|
||||
props.put("auto.offset.reset", "smallest");
|
||||
ConsumerConfig consumerConfig = new ConsumerConfig(props);
|
||||
ConsumerConnector consumer = Consumer.createJavaConsumerConnector(consumerConfig);
|
||||
Map<String, Integer> topicCountMap = new HashMap<>(1);
|
||||
topicCountMap.put(topic, 1);
|
||||
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
|
||||
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
|
||||
ConsumerIterator<byte[], byte[]> iter = streams.get(0).iterator();
|
||||
return iter;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -12,12 +12,10 @@
|
|||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
log4j.rootCategory=WARN, stdout
|
||||
log4j.rootCategory=INFO, stdout
|
||||
|
||||
log4j.appender.stdout=org.apache.log4j.ConsoleAppender
|
||||
log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
|
||||
log4j.appender.stdout.layout.ConversionPattern=%d{ABSOLUTE} %5p %t %c{2}:%L - %m%n
|
||||
|
||||
log4j.category.org.apache.nifi.processors.kafka=INFO
|
||||
log4j.category.kafka=ERROR
|
||||
#log4j.category.org.apache.nifi.startup=INFO
|
||||
log4j.category.org.apache.nifi.processors.kafka=DEBUG
|
||||
|
|
|
|||
Loading…
Reference in New Issue