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Merge pull request #899 from GoogleCloudPlatform/kafka-gcs-dstream
feat: Built Java KafkaToGCSDstream template for Dataproc
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java/src/main/java/com/google/cloud/dataproc/templates/kafka/KafkaToGCSDstream.java
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| /* | ||
| * Copyright (C) 2023 Google LLC | ||
| * | ||
| * 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. | ||
| */ | ||
| package com.google.cloud.dataproc.templates.kafka; | ||
|
|
||
| import static com.google.cloud.dataproc.templates.util.TemplateConstants.*; | ||
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|
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| import com.google.cloud.dataproc.templates.BaseTemplate; | ||
| import java.sql.SQLException; | ||
| import java.util.Collection; | ||
| import java.util.Collections; | ||
| import java.util.HashMap; | ||
| import java.util.Map; | ||
| import java.util.concurrent.TimeoutException; | ||
| import org.apache.commons.lang3.StringUtils; | ||
| import org.apache.kafka.clients.consumer.ConsumerRecord; | ||
| import org.apache.kafka.common.serialization.StringDeserializer; | ||
| import org.apache.spark.api.java.JavaRDD; | ||
| import org.apache.spark.api.java.JavaSparkContext; | ||
| import org.apache.spark.api.java.function.VoidFunction2; | ||
| import org.apache.spark.sql.*; | ||
| import org.apache.spark.streaming.Duration; | ||
| import org.apache.spark.streaming.Time; | ||
| import org.apache.spark.streaming.api.java.JavaInputDStream; | ||
| import org.apache.spark.streaming.api.java.JavaStreamingContext; | ||
| import org.apache.spark.streaming.kafka010.*; | ||
| import org.slf4j.Logger; | ||
| import org.slf4j.LoggerFactory; | ||
| import scala.Tuple2; | ||
|
|
||
| /** | ||
| * Spark job to move data or/and schema from Kafka topic to GCS via spark Direct Stream. This | ||
| * template can be configured to run in few different modes. In default mode kafka.gcs.write.mode is | ||
| * set to "append". For detailed list of properties refer "KafkaToGCSDstream Template properties" | ||
| * section in resources/template.properties file. | ||
| */ | ||
| public class KafkaToGCSDstream implements BaseTemplate { | ||
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|
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| public static final Logger LOGGER = LoggerFactory.getLogger(KafkaToGCSDstream.class); | ||
|
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| private long batchInterval; | ||
| private String kafkaMessageFormat; | ||
| private String gcsOutputLocation; | ||
| private String gcsWriteMode; | ||
| private String gcsOutputFormat; | ||
| private String kafkaStartingOffsets; | ||
| private String kafkaGroupId; | ||
| private String kafkaBootstrapServers; | ||
| private String kafkaTopic; | ||
| private final String sparkLogLevel; | ||
| private final String kafkaSchemaUrl; | ||
| private Long kafkaAwaitTerminationTimeout; | ||
|
|
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| public KafkaToGCSDstream() { | ||
|
|
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| kafkaBootstrapServers = getProperties().getProperty(KAFKA_BOOTSTRAP_SERVERS); | ||
| kafkaTopic = getProperties().getProperty(KAFKA_TOPIC); | ||
| kafkaMessageFormat = getProperties().getProperty(KAFKA_MESSAGE_FORMAT); | ||
| gcsOutputLocation = getProperties().getProperty(KAFKA_GCS_OUTPUT_LOCATION); | ||
| gcsOutputFormat = getProperties().getProperty(KAFKA_GCS_OUTPUT_FORMAT); | ||
| kafkaStartingOffsets = getProperties().getProperty(KAFKA_STARTING_OFFSET); | ||
| kafkaGroupId = getProperties().getProperty(KAFKA_GCS_CONSUMER_GROUP_ID); | ||
| batchInterval = Long.parseLong(getProperties().getProperty(KAFKA_GCS_BATCH_INTERVAL)); | ||
| gcsWriteMode = getProperties().getProperty(KAFKA_GCS_WRITE_MODE); | ||
| sparkLogLevel = getProperties().getProperty(SPARK_LOG_LEVEL); | ||
| kafkaSchemaUrl = getProperties().getProperty(KAFKA_SCHEMA_URL); | ||
| kafkaAwaitTerminationTimeout = | ||
| Long.valueOf(getProperties().getProperty(KAFKA_GCS_AWAIT_TERMINATION_TIMEOUT)); | ||
| } | ||
|
|
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| @Override | ||
| public void runTemplate() throws TimeoutException, SQLException, InterruptedException { | ||
|
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| SparkSession spark = | ||
| SparkSession.builder().appName("Kafka to GCS via Direct stream").getOrCreate(); | ||
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| spark.sparkContext().setLogLevel(sparkLogLevel); | ||
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| Map<String, Object> kafkaParams = new HashMap<>(); | ||
| kafkaParams.put("bootstrap.servers", kafkaBootstrapServers); | ||
| kafkaParams.put("key.deserializer", StringDeserializer.class); | ||
| kafkaParams.put("value.deserializer", StringDeserializer.class); | ||
| kafkaParams.put("group.id", kafkaGroupId); | ||
| kafkaParams.put("auto.offset.reset", kafkaStartingOffsets); | ||
| kafkaParams.put("enable.auto.commit", false); | ||
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| Collection<String> topics = Collections.singletonList(kafkaTopic); | ||
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| JavaSparkContext sparkContext = JavaSparkContext.fromSparkContext(spark.sparkContext()); | ||
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| JavaStreamingContext ssc = new JavaStreamingContext(sparkContext, new Duration(batchInterval)); | ||
| KafkaReader reader = new KafkaReader(); | ||
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| JavaInputDStream<ConsumerRecord<Object, Object>> stream = | ||
| KafkaUtils.createDirectStream( | ||
| ssc, | ||
| LocationStrategies.PreferConsistent(), | ||
| ConsumerStrategies.Subscribe(topics, kafkaParams)); | ||
|
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| stream.foreachRDD( | ||
| (VoidFunction2<JavaRDD<ConsumerRecord<Object, Object>>, Time>) | ||
| (rdd, time) -> { | ||
| LOGGER.debug("Reading kafka data"); | ||
|
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| OffsetRange[] offsetRanges = ((HasOffsetRanges) rdd.rdd()).offsetRanges(); | ||
|
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| JavaRDD<Tuple2<String, String>> recordRdd = | ||
| rdd.map(record -> new Tuple2(record.key(), record.value())); | ||
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| Dataset<Row> rowDataset = | ||
| spark | ||
| .createDataset( | ||
| recordRdd.rdd(), Encoders.tuple(Encoders.STRING(), Encoders.STRING())) | ||
| .withColumnRenamed("_1", "key") | ||
| .withColumnRenamed("_2", "value"); | ||
|
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| Dataset<Row> processedData = | ||
| reader.getDatasetByMessageFormat(rowDataset, getProperties()); | ||
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| if (!processedData.isEmpty()) { | ||
| DataFrameWriter<Row> writer = | ||
| processedData.write().mode(gcsWriteMode).format(gcsOutputFormat); | ||
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| LOGGER.debug("Writing kafka data into GCS"); | ||
| writer.format(gcsOutputFormat).save(gcsOutputLocation); | ||
| } | ||
| ((CanCommitOffsets) stream.inputDStream()).commitAsync(offsetRanges); | ||
| }); | ||
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| ssc.start(); | ||
| ssc.awaitTerminationOrTimeout(kafkaAwaitTerminationTimeout); | ||
| } | ||
|
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| @Override | ||
| public void validateInput() throws IllegalArgumentException { | ||
| if (StringUtils.isAllBlank(gcsOutputLocation) | ||
| || StringUtils.isAllBlank(gcsOutputFormat) | ||
| || StringUtils.isAllBlank(gcsWriteMode) | ||
| || StringUtils.isAllBlank(kafkaBootstrapServers) | ||
| || StringUtils.isAllBlank(kafkaTopic) | ||
| || StringUtils.isAllBlank(kafkaMessageFormat) | ||
| || StringUtils.isAllBlank(kafkaGroupId)) { | ||
| LOGGER.error( | ||
| "{},{},{},{},{},{},{} are required parameter. ", | ||
| KAFKA_GCS_OUTPUT_LOCATION, | ||
| KAFKA_GCS_OUTPUT_FORMAT, | ||
| KAFKA_GCS_WRITE_MODE, | ||
| KAFKA_BOOTSTRAP_SERVERS, | ||
| KAFKA_TOPIC, | ||
| KAFKA_MESSAGE_FORMAT, | ||
| KAFKA_GCS_CONSUMER_GROUP_ID); | ||
| throw new IllegalArgumentException( | ||
| "Required parameters for KafkaTOGCSDstream not passed. " | ||
| + "Set mandatory parameter for KafkaTOGCSDstream template " | ||
| + "in resources/conf/template.properties file."); | ||
| } | ||
|
|
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| if (kafkaMessageFormat.equals("json") & StringUtils.isAllBlank(kafkaSchemaUrl)) { | ||
| LOGGER.error("{} is a required parameter for JSON format messages", KAFKA_SCHEMA_URL); | ||
| throw new IllegalArgumentException("Required parameters for KafkaToGCSDstream not passed."); | ||
| } | ||
|
|
||
| LOGGER.info( | ||
| "Starting kafka to GCS via DStream spark job with following parameters:" | ||
| + "1. {}:{} " | ||
| + "2. {}:{} " | ||
| + "3. {}:{} " | ||
| + "4. {}:{} " | ||
| + "5. {}:{} " | ||
| + "6. {}:{} " | ||
| + "7. {}:{} " | ||
| + "8. {}:{} " | ||
| + "9. {}:{} " | ||
| + "10. {}:{} ", | ||
| KAFKA_MESSAGE_FORMAT, | ||
| kafkaMessageFormat, | ||
| KAFKA_GCS_OUTPUT_LOCATION, | ||
| gcsOutputLocation, | ||
| KAFKA_GCS_OUTPUT_FORMAT, | ||
| gcsOutputFormat, | ||
| KAFKA_GCS_WRITE_MODE, | ||
| gcsWriteMode, | ||
| KAFKA_BOOTSTRAP_SERVERS, | ||
| kafkaBootstrapServers, | ||
| KAFKA_TOPIC, | ||
| kafkaTopic, | ||
| KAFKA_GCS_BATCH_INTERVAL, | ||
| batchInterval, | ||
| KAFKA_SCHEMA_URL, | ||
| kafkaSchemaUrl, | ||
| KAFKA_GCS_CONSUMER_GROUP_ID, | ||
| kafkaGroupId, | ||
| KAFKA_GCS_AWAIT_TERMINATION_TIMEOUT, | ||
| kafkaAwaitTerminationTimeout); | ||
| } | ||
| } |
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