我当前工作的设置：
NIFI流avro消息(Confluent架构注册表参考(至KAFKA(v2.0.0，20个分区，Confluent v5.0.0(，Kafka Connect Worker(HDFS sink(以Parquet格式流向HDFS，并带有flush.size=70000。>
我的问题：
此配置工作正常，但是当我将配置更改为flush.size=1000000时(因为70k消息的大小为5-7 MB，但Parquet文件块大小为256 MB(Connect Worker返回Error sending fetch request错误：
...
[2019-05-24 14:00:21,784] INFO [ReplicaFetcher replicaId=1, leaderId=3, fetcherId=0] Error sending fetch request (sessionId=1661483807, epoch=374) to node 3: java.io.IOException: Connection to 3 was disconnected before the response was read. (org.apache.kafka.clients.FetchSessionHandler)
[2019-05-24 14:00:21,784] WARN [ReplicaFetcher replicaId=1, leaderId=3, fetcherId=0] Error in response for fetch request (type=FetchRequest, replicaId=1, maxWait=500, minBytes=1, maxBytes=10485760, fetchData={mytopic-10=(offset=27647797, logStartOffset=24913298, maxBytes=1048576), mytopic-16=(offset=27647472, logStartOffset=24913295, maxBytes=1048576), mytopic-7=(offset=27647429, logStartOffset=24913298, maxBytes=1048576), mytopic-4=(offset=27646967, logStartOffset=24913296, maxBytes=1048576), mytopic-13=(offset=27646404, logStartOffset=24913298, maxBytes=1048576), mytopic-19=(offset=27648276, logStartOffset=24913300, maxBytes=1048576), mytopic-1=(offset=27647036, logStartOffset=24913307, maxBytes=1048576)}, isolationLevel=READ_UNCOMMITTED, toForget=, metadata=(sessionId=1661483807, epoch=374)) (kafka.server.ReplicaFetcherThread)
java.io.IOException: Connection to 3 was disconnected before the response was read
...
我的配置：
HDFS连接器配置：
name=hdfs-sink
connector.class=io.confluent.connect.hdfs.HdfsSinkConnector
format.class=io.confluent.connect.hdfs.parquet.ParquetFormat
tasks.max=1
topics=mytopic
hdfs.url=hdfs://hdfsnode:8020/user/someuser/kafka_hdfs_sink/
flush.size=1000000
kafka Connect Worker配置：
bootstrap.servers=confleuntnode1:9092,confleuntnode2:9092,confleuntnode3:9092
key.converter=org.apache.kafka.connect.storage.StringConverter
value.converter=io.confluent.connect.avro.AvroConverter
value.converter.schema.registry.url=http://confleuntnode:8081
internal.key.converter=org.apache.kafka.connect.json.JsonConverter
internal.value.converter=org.apache.kafka.connect.json.JsonConverter
internal.key.converter.schemas.enable=false
internal.value.converter.schemas.enable=false
offset.storage.file.filename=/tmp/connect.offsets
plugin.path=/opt/confluent/current/share/java/
我的问题：
如何使用Kafka Connect Worker将更大尺寸的消息从Kafka流到HDF？
i通过在分布式模式(而不是独立(运行连接来解决此问题。现在，我可以写信给HDFS高达350万张记录(〜256 MB(。但是有一个新问题：1(处理速度非常缓慢(1小时内记录35亿卢比(；2(无法编写大于256 MB的镶木quet文件。我会发布一个新的问题。