Could you not do the same thing today with a FlatMap function that
stores incoming elements
and only computes and collects a result when a certain threshold is reached?
On 20.10.2016 09:50, Xiaowei Jiang wrote:
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
