使用spark将数据以protobuf的格式写入kafka,给出程序示例
时间: 2023-03-15 12:09:49 浏览: 110
matplotlib-3.6.3-cp39-cp39-linux_armv7l.whl
我可以为您提供一个示例程序,用于将数据以protobuf格式写入Kafka:from pyspark import SparkContext
from pyspark.streaming import StreamingContext
from pyspark.streaming.kafka import KafkaUtils
from kafka import SimpleProducer, KafkaClient
from kafka.errors import KafkaError# 建立spark环境
sc = SparkContext('local[2]', 'KafkaWordCount')
ssc = StreamingContext(sc, 1)# 连接Kafka
kafka = KafkaClient("localhost:9092")
producer = SimpleProducer(kafka)# 将数据以protobuf格式写入Kafka
def send_protobuf_message(data):
producer.send_messages("topic_name", data.SerializeToString())# 读取数据
kafkaStream = KafkaUtils.createStream(ssc, 'localhost:2181', 'spark-streaming', {'topic_name': 1})# 检查数据
def process(time, rdd):
print("========= %s =========" % str(time))
try:
# 将数据以protobuf格式写入Kafka
rdd.foreach(lambda x: send_protobuf_message(x))
except:
pass# 启动streaming
kafkaStream.foreachRDD(process)
ssc.start()
ssc.awaitTermination()
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