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Posted to users@zeppelin.apache.org by Raju Uppalapati <ru...@netflix.com> on 2015/02/18 23:39:55 UTC
Zeppelin Hadoop core-sites.xml
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
Re: Zeppelin Hadoop core-sites.xml
Posted by Raju Uppalapati <ru...@netflix.com>.
Thanks Kevin that worked.
On Wed, Feb 18, 2015 at 5:16 PM, Kevin Kim (Sangwoo) <ke...@between.us>
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 <ru...@netflix.com>
> 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
>>
>
Re: Zeppelin Hadoop core-sites.xml
Posted by "Kevin Kim (Sangwoo)" <ke...@between.us>.
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 <ru...@netflix.com>
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
>