Thanks for your response. My secret has a back splash (/) so it didn't work...
From: "Zhang, Jingyu" <jingyu.zh...@news.com.au<mailto:jingyu.zh...@news.com.au>> Date: Thursday, October 29, 2015 at 5:16 PM To: William Li <a-...@expedia.com<mailto:a-...@expedia.com>> Cc: user <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Save data to different S3 Try s3://aws_key:aws_secret@bucketName/folderName with your access key and secret to save the data. On 30 October 2015 at 10:55, William Li <a-...@expedia.com<mailto:a-...@expedia.com>> wrote: Hi - I have a simple app running fine with Spark, it reads data from S3 and performs calculation. When reading data from S3, I use hadoopConfiguration.set for both fs.s3n.awsAccessKeyId, and the fs.s3n.awsSecretAccessKey to it has permissions to load the data from customer sources. However, after I complete the analysis, how do I save the results (it's a org.apache.spark.rdd.RDD[String]) into my own s3 bucket which requires different access key and secret? It seems one option is that I could save the results as local file to the spark cluster, then create a new SQLContext with the different access, then load the data from the local file. Is there any other options without requiring save and re-load files? Thanks, William. This message and its attachments may contain legally privileged or confidential information. It is intended solely for the named addressee. If you are not the addressee indicated in this message or responsible for delivery of the message to the addressee, you may not copy or deliver this message or its attachments to anyone. Rather, you should permanently delete this message and its attachments and kindly notify the sender by reply e-mail. Any content of this message and its attachments which does not relate to the official business of the sending company must be taken not to have been sent or endorsed by that company or any of its related entities. No warranty is made that the e-mail or attachments are free from computer virus or other defect.
