waltczhang opened a new issue, #7594:
URL: https://github.com/apache/iceberg/issues/7594
### Query engine
_No response_
### Question
Background：
When I was doing a full table scan (table DataFiles with millions or even
more records), I found that using ParallelIterator often leads to OOM (out of
memory) issues. The main reason is that the ParallelIterator queue model has a
many-to-one relationship, meaning that there is at least one producer but only
one consumer. Is there a need for some mechanism to control the speed or
capacity of the generated data in this case?
For example：
`CloseableIterable<FileScanTask> fileScanTasks =
table.newScan()..planFiles();
fileScanTasks.forEach(...);`
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