Hi,
I am using the new experimental Direct Stream API. Everything is working
fine but when it comes to fault tolerance, I am not sure how to achieve it.
Presently my Kafka config map looks like this
configMap.put("zookeeper.connect","192.168.51.98:2181");
configMap.put("group.id", UUID.randomUUID().toString());
configMap.put("auto.offset.reset","smallest");
configMap.put("auto.commit.enable","true");
configMap.put("topics","IPDR31");
configMap.put("kafka.consumer.id","kafkasparkuser");
configMap.put("bootstrap.servers","192.168.50.124:9092");
Set<String> topic = new HashSet<String>();
topic.add("IPDR31");
JavaPairInputDStream<byte[], byte[]> kafkaData =
KafkaUtils.createDirectStream(js,byte[].class,byte[].class,DefaultDecoder.class,DefaultDecoder.class,configMap,topic);
Questions -
Q1- Is my Kafka configuration correct or should it be changed?
Q2- I also looked into the Checkpointing but in my usecase, Data
checkpointing is not required but meta checkpointing is required. Can I
achieve this, i.e. enabling meta checkpointing and not the data
checkpointing?
Thanks
Abhishek Patel
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