无法设置Kafka Spark使用者配置 [英] Unable to set kafka spark consumer configs

问题描述

我在kafka客户端上使用spark-sql-2.4.x版本.

Me using spark-sql-2.4.x version of with kafka client.

即使在设置使用者配置参数之后 IE. 最大分区提取字节数max.poll.records

Even after setting the consumer configuration parameter i.e. max.partition.fetch.bytes & max.poll.records

设置不正确，并显示以下默认值

it is not being set properly and showing default values as below

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();

启动使用者时，它仍显示在以下日志中:

[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

什么是正确的设置方式?

what is the correct way to set this ?

推荐答案

来自文档:

Kafka自己的配置可以通过DataStreamReader.option与 卡夫卡.前缀，例如stream.option("kafka.bootstrap.servers"， 主机:端口").有关可能的kafka参数，请参见 Kafka使用者配置 有关与读取数据有关的参数的文档，以及 Kafka生产者配置 有关与写入数据有关的参数的文档.

Kafka’s own configurations can be set via DataStreamReader.option with kafka. prefix, e.g, stream.option("kafka.bootstrap.servers", "host:port"). For possible kafka parameters, see Kafka consumer config docs for parameters related to reading data, and Kafka producer config docs for parameters related to writing data.

我相信您需要添加"kafka".您的选择，例如:

I believe you need to add "kafka." to your options, like:

.option("kafka.max.poll.records", 6000) 

这篇关于无法设置Kafka Spark使用者配置的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！