I have a custom flink Source, and I have a SerializableTimestampAssigner that 
assigns event timestamps to records emitted by the source. The source may emit 
records out of order because of the nature of the underlying data storage, 
however with BATCH mode, I expect Flink to sort these records by event 
timestamp before any operator processes them.

Excerpted from Flink 
document<https://nightlies.apache.org/flink/flink-docs-master/docs/dev/datastream/execution_mode/>
 on execution mode: In BATCH mode, where the input dataset is known in advance, 
there is no need for such a heuristic as, at the very least, elements can be 
sorted by timestamp so that they are processed in temporal order.

However, this doesn't seem to be the case. If I create a datastream out of the 
Source (StreamExecutionEnvironment.fromSource) with my timestamp assigner, and 
then datastream.addSink(x => println(extractTimestamp(x)), the output isn't 
strictly ascending. Is my understanding of the document wrong? Or does flink 
expect me (the users) to sort the input dataset themselves?

Thanks in advance for any help!
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