Thank you.
Now I’ve read some part of PairRDDFunctions.scala, and I’ve found that saveAsNewAPIHadoopFile is just a thin (convenient) wrapper to saveAsNewAPIHadoopDataset. From: Matei Zaharia [mailto:matei.zaha...@gmail.com] Sent: Monday, September 22, 2014 5:12 PM To: user@spark.apache.org; innowireless TaeYun Kim Subject: Re: Possibly a dumb question: differences between saveAsNewAPIHadoopFile and saveAsNewAPIHadoopDataset? File takes a filename to write to, while Dataset takes only a JobConf. This means that Dataset is more general (it can also save to storage systems that are not file systems, such as key-value stores), but is more annoying to use if you actually have a file. Matei On September 21, 2014 at 11:24:35 PM, innowireless TaeYun Kim (taeyun....@innowireless.co.kr) wrote: Hi, I’m confused with saveAsNewAPIHadoopFile and saveAsNewAPIHadoopDataset. What’s the difference between the two? What’s the individual use cases of the two APIs? Could you describe the internal flows of the two APIs briefly? I’ve used Spark several months, but I have no experience on MapReduce programming. (I’ve read a few book chapters on MapReduce, but actually not written code myself.) So maybe this confusion comes from my lack of experience on MapReduce programming. (I hoped it won’t necessary to have since I could use Spark…) Thanks.
