The change there was just to mark the methods non-experimental. The logic was that they'd been around for many releases without change, and are unlikely to be changed now that they've been in the wild so long, so already acted as if they're part of the normal stable API.
Are they important? I personally consider the approximate count methods useful. There was some recent talk of deprecating the approximate sum, mean methods. But they're no longer experimental and not going away soon so I suppose they're worth supporting. On Fri, Apr 1, 2016 at 10:10 AM, Renyi Xiong <renyixio...@gmail.com> wrote: > Hi Sean, > > We're upgrading Mobius (C# binding for Spark) in Microsoft to align with > Spark 1.6.2 and noticed some changes in API you did in > > https://github.com/apache/spark/commit/6f81eae24f83df51a99d4bb2629dd7daadc01519 > > > mostly on APIs with Approx postfix. (still marked as experimental in pyspark > though) > > > Can you help us understand how important these APIs are? > > > (in C# we don't implement experimental APIs yet. We're not so sure whether > we should or not) > > > Thanks a lot, > > Renyi. > > > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
