uncleGen created SPARK-6695:
-------------------------------
Summary: Add an external iterator: a hadoop-like output collector
Key: SPARK-6695
URL: https://issues.apache.org/jira/browse/SPARK-6695
Project: Spark
Issue Type: New Feature
Components: Spark Core
Reporter: uncleGen
In practical use, we usually need to create a big iterator, which means too big
in `memory usage` or too long in `array size`. On the one hand, it leads to too
much memory consumption. On the other hand, one `Array` may not hold all the
elements, as java array indices are of type 'int' (4 bytes or 32 bits). So,
IMHO, we may provide a `collector`, which has a buffer, 100MB or any others,
and could spill data into disk. The use case may like:
```
rdd.mapPartition { it =>
...
val collector = new ExteranalCollector()
collector.collect(a)
...
collector.iterator
}
```
I have done some related works, and I need your opinions, thanks!
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