markap14 commented on a change in pull request #4730: URL: https://github.com/apache/nifi/pull/4730#discussion_r555183180
########## File path: nifi-external/nifi-kafka-connect/nifi-kafka-connector/src/main/java/org/apache/nifi/kafka/connect/StatelessNiFiSinkTask.java ########## @@ -0,0 +1,289 @@ +/* + * 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.kafka.connect; + +import org.apache.kafka.clients.consumer.OffsetAndMetadata; +import org.apache.kafka.common.TopicPartition; +import org.apache.kafka.common.config.ConfigException; +import org.apache.kafka.connect.errors.RetriableException; +import org.apache.kafka.connect.header.Header; +import org.apache.kafka.connect.sink.SinkRecord; +import org.apache.kafka.connect.sink.SinkTask; +import org.apache.nifi.controller.queue.QueueSize; +import org.apache.nifi.flowfile.FlowFile; +import org.apache.nifi.stateless.flow.DataflowTrigger; +import org.apache.nifi.stateless.flow.StatelessDataflow; +import org.apache.nifi.stateless.flow.TriggerResult; +import org.apache.nifi.util.FormatUtils; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import java.nio.charset.StandardCharsets; +import java.util.Collection; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Set; +import java.util.concurrent.TimeUnit; +import java.util.regex.Pattern; + +public class StatelessNiFiSinkTask extends SinkTask { + private static final Logger logger = LoggerFactory.getLogger(StatelessNiFiSinkTask.class); + + private StatelessDataflow dataflow; + private String inputPortName; + private Set<String> failurePortNames; + private long timeoutMillis; + private Pattern headerNameRegex; + private String headerNamePrefix; + private int batchSize; + private long batchBytes; + private QueueSize queueSize; + private String dataflowName; + + private long backoffMillis = 0L; + + @Override + public String version() { + return StatelessKafkaConnectorUtil.getVersion(); + } + + @Override + public void start(final Map<String, String> properties) { + logger.info("Starting Sink Task with properties {}", StatelessKafkaConnectorUtil.getLoggableProperties(properties)); + + final String timeout = properties.getOrDefault(StatelessKafkaConnectorUtil.DATAFLOW_TIMEOUT, StatelessKafkaConnectorUtil.DEFAULT_DATAFLOW_TIMEOUT); + timeoutMillis = (long) FormatUtils.getPreciseTimeDuration(timeout, TimeUnit.MILLISECONDS); + + dataflowName = properties.get(StatelessKafkaConnectorUtil.DATAFLOW_NAME); + + final String regex = properties.get(StatelessNiFiSinkConnector.HEADERS_AS_ATTRIBUTES_REGEX); + headerNameRegex = regex == null ? null : Pattern.compile(regex); + headerNamePrefix = properties.getOrDefault(StatelessNiFiSinkConnector.HEADER_ATTRIBUTE_NAME_PREFIX, ""); + + batchSize = Integer.parseInt(properties.getOrDefault(StatelessNiFiSinkConnector.BATCH_SIZE_COUNT, "0")); + batchBytes = Long.parseLong(properties.getOrDefault(StatelessNiFiSinkConnector.BATCH_SIZE_BYTES, "0")); + + dataflow = StatelessKafkaConnectorUtil.createDataflow(properties); + + // Determine input port name. If input port is explicitly set, use the value given. Otherwise, if only one port exists, use that. Otherwise, throw ConfigException. + final String dataflowName = properties.get(StatelessKafkaConnectorUtil.DATAFLOW_NAME); + inputPortName = properties.get(StatelessNiFiSinkConnector.INPUT_PORT_NAME); + if (inputPortName == null) { + final Set<String> inputPorts = dataflow.getInputPortNames(); + if (inputPorts.isEmpty()) { + throw new ConfigException("The dataflow specified for <" + dataflowName + "> does not have an Input Port at the root level. Dataflows used for a Kafka Connect Sink Task " + + "must have at least one Input Port at the root level."); + } + + if (inputPorts.size() > 1) { + throw new ConfigException("The dataflow specified for <" + dataflowName + "> has multiple Input Ports at the root level (" + inputPorts.toString() + + "). The " + StatelessNiFiSinkConnector.INPUT_PORT_NAME + " property must be set to indicate which of these Ports Kafka records should be sent to."); + } + + inputPortName = inputPorts.iterator().next(); + } + + // Validate the input port + if (!dataflow.getInputPortNames().contains(inputPortName)) { + throw new ConfigException("The dataflow specified for <" + dataflowName + "> does not have Input Port with name <" + inputPortName + "> at the root level. Existing Input Port names are " + + dataflow.getInputPortNames()); + } + + // Determine the failure Ports, if any are given. + final String failurePortList = properties.get(StatelessNiFiSinkConnector.FAILURE_PORTS); + if (failurePortList == null || failurePortList.trim().isEmpty()) { + failurePortNames = Collections.emptySet(); + } else { + failurePortNames = new HashSet<>(); + + final String[] names = failurePortList.split(","); + for (final String name : names) { + final String trimmed = name.trim(); + failurePortNames.add(trimmed); + } + } + + // Validate the failure ports + final Set<String> outputPortNames = dataflow.getOutputPortNames(); + for (final String failurePortName : failurePortNames) { + if (!outputPortNames.contains(failurePortName)) { + throw new ConfigException("Dataflow was configured with a Failure Port of " + failurePortName + + " but there is no Port with that name in the dataflow. Valid Port names are " + outputPortNames); + } + } + } + + @Override + public void put(final Collection<SinkRecord> records) { + if (backoffMillis > 0) { + logger.debug("Due to previous failure, will wait {} millis before executing dataflow", backoffMillis); + + try { + Thread.sleep(backoffMillis); + } catch (final InterruptedException ie) { + Thread.currentThread().interrupt(); + throw new RuntimeException("Interrupted while waiting to enqueue data", ie); + } + } + + logger.debug("Enqueuing {} Kafka messages", records.size()); + + for (final SinkRecord record : records) { + final Map<String, String> attributes = createAttributes(record); + final byte[] contents = getContents(record.value()); + + queueSize = dataflow.enqueue(contents, attributes, inputPortName); + } + + if (queueSize == null || queueSize.getObjectCount() < batchSize) { + return; + } + if (queueSize.getByteCount() < batchBytes) { + return; + } + + logger.debug("Triggering dataflow"); + + try { + triggerDataflow(); + resetBackoff(); + } catch (final RetriableException re) { + backoff(); + throw re; + } + } + + private void backoff() { + // If no backoff period has been set, set it to 1 second. Otherwise, double the amount of time to backoff, up to 10 seconds. + if (backoffMillis == 0L) { + backoffMillis = 1000L; + } + + backoffMillis = Math.min(backoffMillis * 2, 10_000L); + } + + private void resetBackoff() { + backoffMillis = 0L; + } + + private void triggerDataflow() { + final long start = System.nanoTime(); + while (dataflow.isFlowFileQueued()) { + final DataflowTrigger trigger = dataflow.trigger(); + + try { + final Optional<TriggerResult> resultOptional = trigger.getResult(timeoutMillis, TimeUnit.MILLISECONDS); Review comment: Makes sense. Will address. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
