怎么运行scala语言打成jar包的程序

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本文详细记录了使用Apache Spark提交Kafka事件生产者应用程序的过程，包括配置参数、运行命令及输出日志，展示了如何通过Spark处理并发送数据到Kafka主题。

[root@slaves1 bin]# ./spark-submit --class com.cn.util.KafkaEventProducer /home/test/telecomeAnalysis-1.0.0.jar 
20/06/24 17:29:29 INFO producer.ProducerConfig: ProducerConfig values: 
	acks = 1
	batch.size = 16384
	bootstrap.servers = [192.168.230.21:6667, 192.168.230.22:6667, 192.168.230.23:6667]
	buffer.memory = 33554432
	client.id = 
	compression.type = none
	connections.max.idle.ms = 540000
	enable.idempotence = false
	interceptor.classes = null
	key.serializer = class org.apache.kafka.common.serialization.StringSerializer
	linger.ms = 0
	max.block.ms = 60000
	max.in.flight.requests.per.connection = 5
	max.request.size = 1048576
	metadata.max.age.ms = 300000
	metric.reporters = []
	metrics.num.samples = 2
	metrics.recording.level = INFO
	metrics.sample.window.ms = 30000
	pa

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