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@gongshijun Hello, sorry for reply you late. I just made some update to README. Please have a check.

Throughput should be logged at each operator step

Spark streaming latency is a little special to test. Operator reduceByKey is not a pipeline operator. It would stack until current batch is processed. If there are some data in...

Spark throughput and latency could be find in self-implemented UI component of Spark. https://databricks.com/blog/2015/07/08/new-visualizations-for-understanding-spark-streaming-applications.html

Next step is parallel data generator and performance logging statistic

Conceptually, Flink splits the heap into three regions: Network buffers: A number of 32 KiByte buffers used by the network stack to buffer records for network transfer. Allocated on TaskManager...

Avoid to use group in the how bench system, try to use reduceByKey, windowReduceByKey

Window on a non-grouped stream, spark has windows on each node. Flink has only one global window in one single node.

@koistya Hi, I also get similar error `_getCss is not a function`. Both webpack config of my client side and server side for css is : ``` loader: [ 'isomorphic-style-loader',...