(you don't have to strictly follow this form)

**Use case**
Our Machine is 96 cores, 256 GB, 10T ssd.
We want to use the Kafka Engine table and distribute table only for writing data to other worker nodes .

**Describe the solution you'd like**
One Kafka Engine Node can consumer more data, and reduce the other ch node work load.

other worker node can get more performance. 

![image](https://user-images.githubusercontent.com/77636494/126424731-5883f321-a8d5-4954-a481-0ea3000db933.png)


{
    cppkafka::Configuration conf;
    conf.set("metadata.broker.list", brokers);
    conf.set("group.id", group);
    conf.set("client.id", client_id);
    conf.set("client.software.name", VERSION_NAME);
    conf.set("client.software.version", VERSION_DESCRIBE);
    
    updateConfiguration(conf);
    auto producer = std::make_shared<cppkafka::Producer>(conf);
    const Settings & settings = getContext()->getSettingsRef();
    size_t poll_timeout = settings.stream_poll_timeout_ms.totalMilliseconds();
    return std::make_shared<WriteBufferToKafkaProducer>(
        producer, topics[0], row_delimiter ? std::optional<char>{row_delimiter} : std::nullopt, 1, 1024, std::chrono::milliseconds(poll_timeout), header);
}
ConsumerBufferPtr StorageKafka::createReadBuffer(const size_t consumer_number)