Hi Gourav, My answers are below.
Cheers, Ben > On Feb 23, 2017, at 10:57 PM, Gourav Sengupta <gourav.sengu...@gmail.com> > wrote: > > Can I ask where are you running your CDH? Is it on premise or have you > created a cluster for yourself in AWS? Our cluster in on premise in our data > center. > > Also I have really never seen use s3a before, that was used way long before > when writing s3 files took a long time, but I think that you are reading it. > > Anyideas why you are not migrating to Spark 2.1, besides speed, there are > lots of apis which are new and the existing ones are being deprecated. > Therefore there is a very high chance that you are already working on code > which is being deprecated by the SPARK community right now. We use CDH and > upgrade with whatever Spark version they include, which is 1.6.0. We are > waiting for the move to Spark 2.0/2.1. > > And besides that would you not want to work on a platform which is at least > 10 times faster What would that be? > > Regards, > Gourav Sengupta > > On Thu, Feb 23, 2017 at 6:23 PM, Benjamin Kim <bbuil...@gmail.com > <mailto:bbuil...@gmail.com>> wrote: > We are trying to use Spark 1.6 within CDH 5.7.1 to retrieve a 1.3GB Parquet > file from AWS S3. We can read the schema and show some data when the file is > loaded into a DataFrame, but when we try to do some operations, such as > count, we get this error below. > > com.cloudera.com.amazonaws.AmazonClientException: Unable to load AWS > credentials from any provider in the chain > at > com.cloudera.com.amazonaws.auth.AWSCredentialsProviderChain.getCredentials(AWSCredentialsProviderChain.java:117) > at > com.cloudera.com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3779) > at > com.cloudera.com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1107) > at > com.cloudera.com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:1070) > at > org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:239) > at > org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2711) > at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:97) > at > org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2748) > at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2730) > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:385) > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296) > at > parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:385) > at > parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:162) > at > parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:145) > at > org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.<init>(SqlNewHadoopRDD.scala:180) > at > org.apache.spark.rdd.SqlNewHadoopRDD.compute(SqlNewHadoopRDD.scala:126) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:229) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > Can anyone help? > > Cheers, > Ben > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > <mailto:user-unsubscr...@spark.apache.org> > >
