pavangadagi

<dependency>
			<groupId>org.apache.spark</groupId>
			<artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
			<version>2.2.0</version>
		</dependency>
		<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming -->
		<dependency>
			<groupId>org.apache.spark</groupId>
			<artifactId>spark-streaming_2.11</artifactId>
			<version>2.2.0</version>

pavangadagi

<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
  <version>2.2.0</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming -->
<dependency>
  <groupId>org.apache.spark</groupId>
  <artifactId>spark-streaming_2.11</artifactId>
  <version>2.2.0</version>

pavangadagi

Map<String,Object> kafkaParams = new HashMap<String, Object>();
kafkaParams.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, brokers);
kafkaParams.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
kafkaParams.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
kafkaParams.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);	

pavangadagi

Set<String> topicSet = new HashSet<String>(Arrays.asList(topics.split(",")));
JavaInputDStream<ConsumerRecord<String,JsonNode>> streams = KafkaUtils.createDirectStream(
				streamingContext,
				LocationStrategies.PreferConsistent(),
				ConsumerStrategies.Subscribe(topicSet, kafkaParams));

pavangadagi

int STREAM_INTERVAL_SEC = 60;
SparkConf sparkConf = new SparkConf().setAppName("CryptoStockAnalysis").setMaster("local[*]");
JavaStreamingContext streamingContext = new JavaStreamingContext(
  sparkConf,
  Durations.seconds(STREAM_INTERVAL_SEC)
);

pavangadagi

const DISCOUNT_TYPES = {
    BUY_2_GET_3: "BUY_2_GET_3",
    BULK: "BULK",
}

const ITEM_LIST = {
   APPLE_TV: "atv",
   SUPER_IPAD: "ipd"
}