(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)


{
                if (!checkDependencies(table_id))
                    break;
                LOG_DEBUG(log, "Started streaming to {} attached views", dependencies_count);
                
                auto some_stream_is_stalled = streamToViews();
                if (some_stream_is_stalled)
                {
                    LOG_TRACE(log, "Stream(s) stalled. Reschedule.");
                    break;
                }
                auto ts = std::chrono::steady_clock::now();
                auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(ts-start_time);
                if (duration.count() > MAX_THREAD_WORK_DURATION_MS)
                {
                    LOG_TRACE(log, "Thread work duration limit exceeded. Reschedule.");
                    break;
                }
            }
        }
    }
    catch (...)
    {
        tryLogCurrentException(__PRETTY_FUNCTION__);
    }
    
    if (!task->stream_cancelled)
        task->holder->scheduleAfter(RESCHEDULE_MS);
}
bool StorageKafka::streamToViews()