sparkstreaming消费kafka后bulk到es

不使用es-hadoop的saveToES，与scala版本冲突问题太多。
不使用bulkprocessor，异步提交，es容易oom，速度反而不快。
使用BulkRequestBuilder同步提交。

主要代码

public static void main(String[] args){
        System.setProperty("hadoop.home.dir", "D:\\hadoop");
        System.setProperty("es.set.netty.runtime.available.processors", "false");
        SparkConf conf = new SparkConf().setMaster("local[2]").setAppName("SendRecord");
        conf.set("spark.streaming.backpressure.enabled", "true");
        conf.set("spark.streaming.receiver.maxRate", "1000");
        conf.set("spark.streaming.kafka.maxRatePerPartition", "1000");
        conf.set("es.nodes", "eshost");
        conf.set("es.port", "9200");
        JavaStreamingContext ssc = new JavaStreamingContext(conf, Durations.seconds(2));

        Map kafkaParams = new HashMap<>();
        kafkaParams.put("bootstrap.servers", "kafkahost:9092");
        kafkaParams.put("key.deserializer", StringDeserializer.class);
        kafkaParams.put("value.deserializer", StringDeserializer.class);
        kafkaParams.put("group.id", "sparkGroup4");
        kafkaParams.put("auto.offset.reset", "latest");
        kafkaParams.put("enable.auto.commit", false);

        Collection topics = Arrays.asList("users");
        JavaInputDStream> stream = KafkaUtils.createDirectStream
                (ssc, LocationStrategies.PreferConsistent(), ConsumerStrategies.Subscribe(topics, kafkaParams));

        JavaDStream kafkaDStream = stream.map(new Function, User>() {
            @Override
            public User call(ConsumerRecord record) throws Exception {
                Gson gson = new Gson();
                return gson.fromJson(record.value(), User.class);
            }
        });

        kafkaDStream.foreachRDD(new VoidFunction>() {
            @Override
            public void call(JavaRDD userJavaRDD) throws Exception {
                userJavaRDD.foreachPartition(new VoidFunction>() {
                    @Override
                    public void call(Iterator userIterator) throws Exception {
                        TransportClient client = ESClient.getClient();
                        BulkRequestBuilder bulkRequestBuilder = client.prepareBulk();
                        Map map = new HashMap<>();
                        while(userIterator.hasNext()){
                            User user = userIterator.next();
                            map.put("name", user.getName());
                            map.put("age", user.getAge());
                            map.put("desc", user.getDescription());
                            IndexRequest request = client.prepareIndex("users", "info").setSource(map).request();
                            bulkRequestBuilder.add(request);
                        }
                        if(bulkRequestBuilder.numberOfActions() > 0){
                            BulkResponse bulkItemResponses = bulkRequestBuilder.execute().actionGet();
                        }
                    }
                });
            }
        });
        ssc.start();

        try {
            // Wait for the computation to terminate.
            ssc.awaitTermination();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }
    }

　　

ESClient:

public class ESClient {
    public static TransportClient getClient(){
        return Holder.client;
    }

    private static class Holder{
        private static TransportClient client;
        static{
            try {
                Settings setting = Settings.builder()
                        .put("cluster.name", "es")
                        .put("client.transport.sniff", false)
                        .put("client.transport.ping_timeout", "60s")
                        .put("client.transport.nodes_sampler_interval", "60s")
                        .build();
                client = new PreBuiltTransportClient(setting);
                client.addTransportAddress(new TransportAddress(new InetSocketAddress("eshost",9300)));
            } catch (Exception e) {
                System.out.println(e.getMessage());
            }
        }
    }
}