这是我的以下代码，用于从kafka获取数据以触发流式处理首先它正在运行，但当我重新启动系统时，它再次显示以下错误：
unicodedecodeerror:“utf-8”编解码器无法解码位置5中的字节0x98:无效的起始字节

from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from pyspark.streaming.kafka import KafkaUtils
from confluent_kafka.avro.cached_schema_registry_client import CachedSchemaRegistryClient
from confluent_kafka.avro.serializer.message_serializer import MessageSerializer

schema_registry_client = CachedSchemaRegistryClient(url='http://0.0.0.0:8081')
serializer = MessageSerializer(schema_registry_client)
sc = SparkContext()
sc.setLogLevel("ERROR")
ssc = StreamingContext(sc, 2)

# def decoder(s):

# decoded_message = serializer.decode_message(s)

# return decoded_message

kvs = KafkaUtils.createDirectStream(ssc, ["demo.Appointment_Attendance.Patient"], {
                                "metadata.broker.list": "localhost:9092"}, 
                                 valueDecoder=serializer.decode_message)
keyDecoder=lambda x: x, valueDecoder=lambda x: x)
lines = kvs.map(lambda x: x[1])
lines.pprint()

ssc.start()
ssc.awaitTermination()