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! -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org