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https://issues.apache.org/jira/browse/FLINK-4854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-4854:
----------------------------------
    Labels: auto-deprioritized-major auto-unassigned features stale-minor  
(was: auto-deprioritized-major auto-unassigned features)

I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help 
the community manage its development. I see this issues has been marked as 
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated 
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is 
still Minor, please either assign yourself or give an update. Afterwards, 
please remove the label or in 7 days the issue will be deprioritized.


> Efficient Batch Operator in Streaming
> -------------------------------------
>
>                 Key: FLINK-4854
>                 URL: https://issues.apache.org/jira/browse/FLINK-4854
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / DataStream
>            Reporter: Xiaowei Jiang
>            Priority: Minor
>              Labels: auto-deprioritized-major, auto-unassigned, features, 
> stale-minor
>   Original Estimate: 168h
>  Remaining Estimate: 168h
>
> 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.
> {code}
> 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);
> {code}
> 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.



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