Hello, I have been trying to setup a SMACK stack to learn the basics of Kafka
Streams and Spark, yet I keep coming across the following error:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in
stage 0.0 (TID 0) had a not serializable result:
org.apache.kafka.clients.consumer.ConsumerRecord
I have a “Tweet” object which is a simple POJO with a Date and String that then
has a Serializer and Deserializer class.
I have tested creating an object, serializing it to a local file, then reading
it with the deserializer and it works fine—however over the stream it fails.
To read the data from the kafka stream , I have setup a an input stream using
the following code:
Map <String, Object> kafkaParams = new HashMap<>();
kafkaParams.put("bootstrap.servers", brokers);
kafkaParams.put("key.deserializer", StringDeserializer.class);
kafkaParams.put("value.deserializer", TweetDeserializer.class);
kafkaParams.put("group.id", "use_a_separate_group_id_for_each_stream");
JavaInputDStream<ConsumerRecord<String, Tweet>> tweets =
KafkaUtils.createDirectStream(
jssc,
LocationStrategies.PreferConsistent(),
ConsumerStrategies.<String, Tweet>Subscribe(topicsSet,
kafkaParams)
);
To send a sample object to Kafka, I have the following for testing:
Properties props = new Properties();
props.put("bootstrap.servers", "192.168.194.194:9092");
props.put("key.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "com.armaanaki.smack.tweet.TweetSerializer");
final KafkaProducer<String, Tweet> kafkaProducer = new KafkaProducer<String,
Tweet>(props);
ProducerRecord<String, Tweet> record = new ProducerRecord<String,
Tweet>("tweets1", "1", new Tweet(new Date(), "Test"));
kafkaProducer.send(record);
Can anyone explain my error? Thanks!
