Hi Quizhuang - you have two options: 1) Within the map step define a validation function that will be executed on every record. 2) Use the filter function to create a filtered dataset prior to processing.
On 11/14/14, 10:28 AM, "Qiuzhuang Lian" <qiuzhuang.l...@gmail.com> wrote: >Hi, > >MapReduce has the feature of skipping bad records. Is there any equivalent >in Spark? Should I use filter API to do this? > >Thanks, >Qiuzhuang ________________________________________________________ The information contained in this e-mail is confidential and/or proprietary to Capital One and/or its affiliates. The information transmitted herewith is intended only for use by the individual or entity to which it is addressed. If the reader of this message is not the intended recipient, you are hereby notified that any review, retransmission, dissemination, distribution, copying or other use of, or taking of any action in reliance upon this information is strictly prohibited. If you have received this communication in error, please contact the sender and delete the material from your computer. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
