Thanks Kevin that worked. On Wed, Feb 18, 2015 at 5:16 PM, Kevin Kim (Sangwoo) <[email protected]> wrote:
> In my case, > I'm adding these lines to zeppelin/conf/zeppelin-env.sh > > export AWS_ACCESS_KEY_ID="XXXXXXXXXXXXX" > export AWS_SECRET_ACCESS_KEY="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX" > > > On Thu Feb 19 2015 at 7:41:52 AM Raju Uppalapati <[email protected]> > wrote: > >> Hi, >> I am using the Zeppelin binaries built from source as of today and >> Zeppelin's Spark context is not loading the credentials in my >> core-sites.xml. Hence its unable to read/write to S3. >> Any one else seeing this problem? Any suggestions/workarounds? >> >> val lines = sc.textFile("s3n://mys3bucket/myfile").count >> java.lang.IllegalArgumentException: >> AWS Access Key ID and Secret Access Key must be specified as the username >> or password (respectively) of a s3n URL, >> or by setting the fs.s3n.awsAccessKeyId or fs.s3n.awsSecretAccessKey >> properties (respectively). at >> org.apache.hadoop.fs.s3.S3Credentials.initialize(S3Credentials.java:70) at >> org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.initialize(Jets3tNativeFileSystemStore.java:73) >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >> at >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> ... >> ... >> at >> org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:256) >> at >> org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228) >> at >> org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:304) >> at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201) at >> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205) at >> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) at >> scala.Option.getOrElse(Option.scala:120) at >> org.apache.spark.rdd.RDD.partitions(RDD.scala:203) at >> org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28) at >> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205) at >> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203) at >> scala.Option.getOrElse(Option.scala:120) at >> org.apache.spark.rdd.RDD.partitions(RDD.scala:203) at >> org.apache.spark.SparkContext.runJob(SparkContext.scala:1328) at >> org.apache.spark.rdd.RDD.count(RDD.scala:910) >> >> thanks, >> _raju >> >
