Spark Structured Streaming error读取字段'topic_metadata'时出错

我正在运行spark 2.4.0和Kafka 0.10.2

var streamingInputDF =
spark.readStream

.format("kafka")
.option("kafka.bootstrap.servers", "localhost:9092")
.option("subscribe", "twitter-topic")
.load()

控制台writeStream：

val activityQuery = streamingInputDF.writeStream
.format("console")
.outputMode("append")
.start()

activityQuery.awaitTermination()
但是，当我启动控制台时，writeStream我得到以下异常

org.apache.spark.sql.streaming.StreamingQueryException: Query [id = d21cd9b4-7f51-4f5f-acbf-943dfaaeb7e5, runId = c2b2c58d-7afe-4ca5-bc36-6a3f496c19b3] terminated with exception: Error reading field 'topic_metadata': Error reading array of size 881783, only 41 bytes available
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution

$$ runStream(StreamExecution.scala:295) at org.apache.spark.sql.execution.streaming.StreamExecution $$

anon$1.run(StreamExecution.scala:189)
Caused by: org.apache.kafka.common.protocol.types.SchemaException: Error reading field 'topic_metadata': Error reading array of size 881783, only 41 bytes available
at org.apache.kafka.common.protocol.types.Schema.read(Schema.java:73)
at org.apache.kafka.clients.NetworkClient.parseResponse(NetworkClient.java:380)
at org.apache.kafka.clients.NetworkClient.handleCompletedReceives(NetworkClient.java:449)
at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:269)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.clientPoll(ConsumerNetworkClient.java:360)