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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
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package samza.examples.azure;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import java.util.List;
import java.util.Map;
import org.apache.samza.application.StreamApplication;
import org.apache.samza.application.descriptors.StreamApplicationDescriptor;
import org.apache.samza.operators.MessageStream;
import org.apache.samza.operators.OutputStream;
import org.apache.samza.serializers.JsonSerdeV2;
import org.apache.samza.serializers.NoOpSerde;
import org.apache.samza.system.descriptors.GenericOutputDescriptor;
import org.apache.samza.system.descriptors.GenericSystemDescriptor;
import org.apache.samza.system.kafka.descriptors.KafkaInputDescriptor;
import org.apache.samza.system.kafka.descriptors.KafkaSystemDescriptor;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import samza.examples.azure.data.PageViewAvroRecord;
import samza.examples.cookbook.data.PageView;
import samza.examples.wikipedia.application.WikipediaApplication;
/**
* In this example, we demonstrate sending blobs to Azure Blob Storage.
* This Samza job reads from Kafka topic "page-view-azure-blob-input" and produces blobs to Azure-Container "azure-blob-container" in your Azure Storage account.
*
* Currently, Samza supports sending Avro files are blobs.
* Hence the incoming messages into the Samza job have to be converted to an Avro record.
* For this job, we use input message as {@link samza.examples.cookbook.data.PageView} and
* covert it to an Avro record defined as {@link samza.examples.azure.data.PageViewAvroRecord}.
*
* To run the below example:
*
* <ol>
* <li>
* Replace your-azure-storage-account-name and your-azure-storage-account-key with details of your Azure Storage Account.
* </li>
* <li>
* Ensure that the topic "page-view-azure-blob-input" is created <br/>
* ./deploy/kafka/bin/kafka-topics.sh --zookeeper localhost:2181 --create --topic page-view-azure-blob-input --partitions 1 --replication-factor 1
* </li>
* <li>
* Run the application using the run-app.sh script <br/>
* ./deploy/samza/bin/run-app.sh --config-factory=org.apache.samza.config.factories.PropertiesConfigFactory --config-path=file://$PWD/deploy/samza/config/azure-blob-application.properties
* </li>
* <li>
* Produce some messages to the "page-view-azure-blob-input" topic <br/>
* ./deploy/kafka/bin/kafka-console-producer.sh --topic page-view-azure-blob-input --broker-list localhost:9092 <br/>
* {"userId": "user1", "country": "india", "pageId":"google.com"} <br/>
* {"userId": "user2", "country": "france", "pageId":"facebook.com"} <br/>
* {"userId": "user3", "country": "china", "pageId":"yahoo.com"} <br/>
* {"userId": "user4", "country": "italy", "pageId":"linkedin.com"} <br/>
* {"userId": "user5", "country": "germany", "pageId":"amazon.com"} <br/>
* {"userId": "user6", "country": "denmark", "pageId":"apple.com"} <br/>
* </li>
* <li>
* Seeing Output:
* <ol>
* <li>
* See blobs in your Azure portal at https://<azure-storage-account-name>.blob.core.windows.net/azure-blob-container/PageViewEventStream/<time-stamp>.avro
* </li>
* <li>
* system-name "azure-blob-container" in configs and code below maps to Azure-Container in Azure Storage account.
* </li>
* <li>
* <time-stamp> is of the format yyyy/MM/dd/HH/mm-ss-randomString.avro. Hence navigate through the virtual folders on the portal to see your blobs.
* </li>
* <li>
* Due to network calls, allow a few minutes for blobs to appear on the portal.
* </li>
* <li>
* Config "maxMessagesPerBlob=2" ensures that a blob is created per 2 input messages. Adjust input or config accordingly.
* </li>
* </ol>
* </li>
* </ol>
*/
public class AzureBlobApplication implements StreamApplication {
private static final Logger LOG = LoggerFactory.getLogger(AzureBlobApplication.class);
private static final List<String> KAFKA_CONSUMER_ZK_CONNECT = ImmutableList.of("localhost:2181");
private static final List<String> KAFKA_PRODUCER_BOOTSTRAP_SERVERS = ImmutableList.of("localhost:9092");
private static final Map<String, String> KAFKA_DEFAULT_STREAM_CONFIGS = ImmutableMap.of("replication.factor", "1");
private static final String INPUT_PAGEVIEW_STREAM_ID = "page-view-azure-blob-input";
private static final String OUTPUT_SYSTEM = "azure-blob-container";
private static final String OUTPUT_STREAM = "PageViewEventStream";
@Override
public void describe(StreamApplicationDescriptor appDescriptor) {
// Define a system descriptor for Kafka
KafkaSystemDescriptor kafkaSystemDescriptor =
new KafkaSystemDescriptor("kafka").withConsumerZkConnect(KAFKA_CONSUMER_ZK_CONNECT)
.withProducerBootstrapServers(KAFKA_PRODUCER_BOOTSTRAP_SERVERS)
.withDefaultStreamConfigs(KAFKA_DEFAULT_STREAM_CONFIGS);
KafkaInputDescriptor<PageView> pageViewInputDescriptor =
kafkaSystemDescriptor.getInputDescriptor(INPUT_PAGEVIEW_STREAM_ID, new JsonSerdeV2<>(PageView.class));
// Define a system descriptor for Azure Blob Storage
GenericSystemDescriptor azureBlobSystemDescriptor =
new GenericSystemDescriptor(OUTPUT_SYSTEM, "org.apache.samza.system.azureblob.AzureBlobSystemFactory");
GenericOutputDescriptor<PageViewAvroRecord> azureBlobOuputDescriptor =
azureBlobSystemDescriptor.getOutputDescriptor(OUTPUT_STREAM, new NoOpSerde<>());
// Set Kafka as the default system for the job
appDescriptor.withDefaultSystem(kafkaSystemDescriptor);
// Define the input and output streams with descriptors
MessageStream<PageView> pageViewInput = appDescriptor.getInputStream(pageViewInputDescriptor);
OutputStream<PageViewAvroRecord> pageViewAvroRecordOutputStream = appDescriptor.getOutputStream(azureBlobOuputDescriptor);
// Define the execution flow with the high-level API
pageViewInput
.map((message) -> {
LOG.info("Sending: Received PageViewEvent with pageId: " + message.pageId);
return PageViewAvroRecord.buildPageViewRecord(message);
})
.sendTo(pageViewAvroRecordOutputStream);
}
}
