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java - Transformer Kafka 中的 ManagedChannel 线程安全吗

问题描述

这是我的变压器：

public class DataEnricher implements Transformer < byte[], EnrichedData, KeyValue < byte[], EnrichedData >> {

    private ManagedChannel channel;
    private InfoClient infoclient;
    private LRUCacheCollector < String,
    InfoResponse > cache;


    public DataEnricher() {}

    @Override
    public void init(ProcessorContext context) {
        channel = ManagedChannelBuilder.forAddress("localhost", 50051).usePlaintext().build();
        infoclient = new InfoClient(channel);
    }

    @Override
    public KeyValue < byte[],
    EnrichedData > transform(byte[] key, EnrichedData request) {
        InfoResponse infoResponse = null;
        String someInfo = request.getSomeInfo();
        try {
            infoResponse = infoclient.getMoreInfo(someInfo);
        } catch (Exception e) {
            logger.warn("An exception has occurred during retrieval.", e.getMessage());
        }
        EnrichedData enrichedData = EnrichedDataBuilder.addExtraInfo(request, infoResponse);
        return new KeyValue < > (key, enrichedData);
    }

    @Override
    public KeyValue < byte[],
    DataEnricher > punctuate(long timestamp) {
        return null;
    }

    @Override
    public void close() {
        client.shutdown();
    }
}

在 Kafka Streams 中，每个流线程初始化它自己的流拓扑副本，然后根据 ProcessorContext（即每个任务，即每个分区）实例化该拓扑。所以不会init()被调用并覆盖/泄漏每个分区的通道，并且由于我们有多个线程，甚至可以竞争创建channel/client? 有没有办法防止这种情况？

这在方法中被调用run()：

public KafkaStreams createStreams() {
    final Properties streamsConfiguration = new Properties();
    //other configuration is setup here
    streamsConfiguration.put(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, WallclockTimestampExtractor.class.getName());
    streamsConfiguration.put(
        StreamsConfig.NUM_STREAM_THREADS_CONFIG,
        3);

    StreamsBuilder streamsBuilder = new StreamsBuilder();

    RequestJsonSerde requestSerde = new RequestJsonSerde();
    DataEnricher dataEnricher = new DataEnricher();
    // Get the stream of requests
    final KStream < byte[], EnrichedData > requestsStream = streamsBuilder
        .stream(requestsTopic, Consumed.with(Serdes.ByteArray(), requestSerde));
    final KStream < byte[], EnrichedData > enrichedRequestsStream = requestsStream
        .filter((key, request) - > {
            return Objects.nonNull(request);
        }
        .transform(() - > dataEnricher);

    enrichedRequestsStream.to(enrichedRequestsTopic, Produced.with(Serdes.ByteArray()));

    return new KafkaStreams(streamsBuilder.build(), new StreamsConfig(streamsConfiguration));
}

标签： javamultithreadingapache-kafkaapache-kafka-streamsgrpc-java

解决方案

我假设每个拓扑（或）TransformerSupplier创建一个Transformer实例，因此每个拓扑创建一个。在这种情况下，没有被覆盖的危险。另外我假设你也关闭了它的频道。ProcessorContextchannelchannelclient.shutdown()

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