Improving speed and stability of checkpointing with generic log-based incremental checkpoints
出处：
flink.apache.org
作者：
Khachatryan & Yuan Mei
One of the most important characteristics of stream processing systems is end-to-end latency, i.e. the time it takes for the results of processing an input record to reach the outputs. In the case of Flink, end-to-end latency mostly depends on the checkpointing mechanism, because processing results should only become visible after the state of the stream is persisted to non-volatile storage (this is assuming exactly-once mode; in other modes, results can be published immediately).
