我使用spark-sql-2.4.x版本的kafka客户端。
即使在设置了使用者配置参数max.partition.fetch.bytes和max.poll.records之后
设置不正确，显示默认值如下

Dataset<Row> df = sparkSession
                      .readStream()
                      .format("kafka")
                      .option("kafka.bootstrap.servers", server1)
                      .option("subscribe", TOPIC1) 
                      .option("includeTimestamp", true)
                      .option("startingOffsets", "latest")
                      .option("max.partition.fetch.bytes", "2097152") // default 1000,000
                      .option("max.poll.records", 6000)  // default 500
                      .option("metadata.max.age.ms", 450000) // default 300000
                      .option("failOnDataLoss", false)
                      .load();

在启动使用者时，它仍显示在日志中，如下所示：

[Executor task launch worker for task 21] INFO  org.apache.kafka.clients.consumer.ConsumerConfig - ConsumerConfig values:
        auto.commit.interval.ms = 5000
        auto.offset.reset = none
        check.crcs = true
        client.id =
        connections.max.idle.ms = 540000
        enable.auto.commit = false
        exclude.internal.topics = true
        fetch.max.bytes = 52428800
        fetch.max.wait.ms = 500
        heartbeat.interval.ms = 3000
        interceptor.classes = null
        key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
        max.partition.fetch.bytes = 1048576
        max.poll.interval.ms = 300000
        max.poll.records = 500
        value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer

正确的设置方法是什么？