Very often, it's more efficient to process a batch of records at once instead of processing them one by one. We can use window to achieve this functionality. However, window will store all records in states, which can be costly. It's desirable to have an efficient implementation of batch operator. The batch operator works per task and behave similarly to aligned windows. Here is an example of how the interface looks like to a user.
interface BatchFunction { // add the record to the buffer // returns if the batch is ready to be flushed boolean addRecord(T record); // process all pending records in the buffer void flush(Collector collector) ; } DataStream ds = ... BatchFunction func = ... ds.batch(func); The operator calls addRecord for each record. The batch function saves the record in its own buffer. The addRecord returns if the pending buffer should be flushed. In that case, the operator invokes flush. Please share your thoughts. The corresponding JIRA is https://issues.apache.org/jira/browse/FLINK-4854 Xiaowei