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/*
* ============LICENSE_START=======================================================
* ONAP : DATALAKE
* ================================================================================
* Copyright 2019 China Mobile
*=================================================================================
* Licensed 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.
* ============LICENSE_END=========================================================
*/
package org.onap.datalake.feeder.service;
import java.time.Duration;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Properties;
import java.util.concurrent.atomic.AtomicBoolean;
import javax.annotation.PostConstruct;
import org.apache.commons.lang3.tuple.Pair;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.consumer.OffsetAndMetadata;
import org.apache.kafka.common.TopicPartition;
import org.onap.datalake.feeder.config.ApplicationConfiguration;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.config.ConfigurableBeanFactory;
import org.springframework.context.annotation.Scope;
import org.springframework.stereotype.Service;
/**
* Thread that pulls messages from DMaaP and save them to Big Data DBs
*
* @author Guobiao Mo
*
*/
@Service
@Scope(value = ConfigurableBeanFactory.SCOPE_PROTOTYPE)
public class PullThread implements Runnable {
@Autowired
private DmaapService dmaapService;
@Autowired
private StoreService storeService;
@Autowired
private ApplicationConfiguration config;
private final Logger log = LoggerFactory.getLogger(this.getClass());
private KafkaConsumer<String, String> consumer; //<String, String> is key-value type, in our case key is empty, value is JSON text
private int id;
private final AtomicBoolean active = new AtomicBoolean(false);
private boolean async;
public PullThread(int id) {
this.id = id;
}
@PostConstruct
private void init() {
async = config.isAsync();
Properties consumerConfig = getConsumerConfig();
log.info("Kafka ConsumerConfig: {}", consumerConfig);
consumer = new KafkaConsumer<>(consumerConfig);
}
private Properties getConsumerConfig() {
Properties consumerConfig = new Properties();
consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, config.getDmaapKafkaHostPort());
consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, config.getDmaapKafkaGroup());
consumerConfig.put(ConsumerConfig.CLIENT_ID_CONFIG, String.valueOf(id));
consumerConfig.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
consumerConfig.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
consumerConfig.put(ConsumerConfig.PARTITION_ASSIGNMENT_STRATEGY_CONFIG, "org.apache.kafka.clients.consumer.RoundRobinAssignor");
consumerConfig.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
return consumerConfig;
}
/**
* start pulling.
*/
@Override
public void run() {
active.set(true);
DummyRebalanceListener rebalanceListener = new DummyRebalanceListener();
try {
List<String> topics = dmaapService.getActiveTopics(); //TODO get updated topic list within loop
log.info("Thread {} going to subscribe to topics: {}", id, topics);
consumer.subscribe(topics, rebalanceListener);
while (active.get()) {
ConsumerRecords<String, String> records = consumer.poll(Duration.ofSeconds(config.getDmaapKafkaTimeout()));
if (records != null) {
List<Pair<Long, String>> messages = new ArrayList<>(records.count());
for (TopicPartition partition : records.partitions()) {
messages.clear();
List<ConsumerRecord<String, String>> partitionRecords = records.records(partition);
for (ConsumerRecord<String, String> record : partitionRecords) {
messages.add(Pair.of(record.timestamp(), record.value()));
//log.debug("threadid={} topic={}, timestamp={} key={}, offset={}, partition={}, value={}", id, record.topic(), record.timestamp(), record.key(), record.offset(), record.partition(), record.value());
}
storeService.saveMessages(partition.topic(), messages);
log.info("saved to topic={} count={}", partition.topic(), partitionRecords.size());//TODO we may record this number to DB
if (!async) {//for reliability, sync commit offset to Kafka, this slows down a bit
long lastOffset = partitionRecords.get(partitionRecords.size() - 1).offset();
consumer.commitSync(Collections.singletonMap(partition, new OffsetAndMetadata(lastOffset + 1)));
}
}
if (async) {//for high Throughput, async commit offset in batch to Kafka
consumer.commitAsync();
}
}
storeService.flushStall();
}
} catch (Exception e) {
log.error("Puller {} run(): exception={}", id, e.getMessage());
log.error("", e);
} finally {
consumer.close();
}
}
public void shutdown() {
active.set(false);
consumer.wakeup();
}
private class DummyRebalanceListener implements ConsumerRebalanceListener {
@Override
public void onPartitionsRevoked(Collection<TopicPartition> partitions) {
log.info("Called onPartitionsRevoked with partitions: {}", partitions);
}
@Override
public void onPartitionsAssigned(Collection<TopicPartition> partitions) {
log.info("Called onPartitionsAssigned with partitions: {}", partitions);
}
}
}
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