Opened a JIRA issue. (https://issues.apache.org/jira/browse/SPARK-1962)
Thanks. -----Original Message----- From: Matei Zaharia [mailto:matei.zaha...@gmail.com] Sent: Thursday, May 29, 2014 3:54 PM To: dev@spark.apache.org Subject: Re: Suggestion: RDD cache depth This is a pretty cool idea - instead of cache depth I'd call it something like reference counting. Would you mind opening a JIRA issue about it? The issue of really composing together libraries that use RDDs nicely isn't fully explored, but this is certainly one thing that would help with it. I'd love to look at other ones too, e.g. how to allow libraries to share scans over the same dataset. Unfortunately using multiple cache() calls for this is probably not feasible because it would change the current meaning of multiple calls. But we can add a new API, or a parameter to the method. Matei On May 28, 2014, at 11:46 PM, innowireless TaeYun Kim <taeyun....@innowireless.co.kr> wrote: > It would be nice if the RDD cache() method incorporate a depth information. > > That is, > > > > void test() > { > > JavaRDD<.> rdd = .; > > > > rdd.cache(); // to depth 1. actual caching happens. > > rdd.cache(); // to depth 2. Nop as long as the storage level is the same. > Else, exception. > > . > > rdd.uncache(); // to depth 1. Nop. > > rdd.uncache(); // to depth 0. Actual unpersist happens. > > } > > > > This can be useful when writing code in modular way. > > When a function receives an rdd as an argument, it doesn't necessarily > know the cache status of the rdd. > > But it could want to cache the rdd, since it will use the rdd multiple > times. > > But with the current RDD API, it cannot determine whether it should > unpersist it or leave it alone (so that caller can continue to use > that rdd without rebuilding). > > > > Thanks. > > >
