(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)


{
    
    const auto & config = getContext()->getConfigRef();
    if (config.has(CONFIG_PREFIX))
        loadFromConfig(conf, config, CONFIG_PREFIX);
    
    for (const auto & topic : topics)
    {
        const auto topic_config_key = CONFIG_PREFIX + "_" + topic;
        if (config.has(topic_config_key))
            loadFromConfig(conf, config, topic_config_key);
    }
    
    conf.set_log_callback([this](cppkafka::KafkaHandleBase &, int level, const std::string & facility, const std::string & message)
    {
        auto [poco_level, client_logs_level] = parseSyslogLevel(level);
        LOG_IMPL(log, client_logs_level, poco_level, "[rdk:{}] {}", facility, message);
    });
    
    
    
    
    {
        
        void * self = static_cast<void *>(this);
        int status;
        status = rd_kafka_conf_interceptor_add_on_new(conf.get_handle(),
            "init", StorageKafkaInterceptors::rdKafkaOnNew, self);
        if (status != RD_KAFKA_RESP_ERR_NO_ERROR)
            LOG_ERROR(log, "Cannot set new interceptor due to {} error", status);