Hi Ted,
Thanks for the reply. I tried setting both of the keyid and accesskey via
sc.hadoopConfiguration.set("fs.s3n.awsAccessKeyId", "***")
> sc.hadoopConfiguration.set("fs.s3n.awsSecretAccessKey", "**")
However, the error still occurs for ORC format.
If I change the format to JSON, although the error does not go, the JSON
files can be saved successfully.
On Sun, Aug 23, 2015 at 5:51 AM, Ted Yu <yuzhih...@gmail.com> wrote:
> You may have seen this:
> http://search-hadoop.com/m/q3RTtdSyM52urAyI
>
>
>
> On Aug 23, 2015, at 1:01 AM, lostrain A <donotlikeworkingh...@gmail.com>
> wrote:
>
> Hi,
> I'm trying to save a simple dataframe to S3 in ORC format. The code is
> as follows:
>
>
> val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
>> import sqlContext.implicits._
>> val df=sc.parallelize(1 to 1000).toDF()
>> df.write.format("orc").save("s3://logs/dummy)
>
>
> I ran the above code in spark-shell and only the _SUCCESS file was saved
> under the directory.
> The last part of the spark-shell log said:
>
> 15/08/23 07:38:23 task-result-getter-1 INFO TaskSetManager: Finished task
>> 95.0 in stage 2.0 (TID 295) in 801 ms on ip-*-*-*-*.ec2.internal (100/100)
>>
>
>
>> 15/08/23 07:38:23 dag-scheduler-event-loop INFO DAGScheduler: ResultStage
>> 2 (save at <console>:29) finished in 0.834 s
>>
>
>
>> 15/08/23 07:38:23 task-result-getter-1 INFO YarnScheduler: Removed
>> TaskSet 2.0, whose tasks have all completed, from pool
>>
>
>
>> 15/08/23 07:38:23 main INFO DAGScheduler: Job 2 finished: save at
>> <console>:29, took 0.895912 s
>>
>
>
>> 15/08/23 07:38:24 main INFO
>> LocalDirAllocator$AllocatorPerContext$DirSelector: Returning directory:
>> /media/ephemeral0/s3/output-
>>
>
>
>> 15/08/23 07:38:24 main ERROR NativeS3FileSystem: md5Hash for
>> dummy/_SUCCESS is [-44, 29, -128, -39, -113, 0, -78,
>> 4, -23, -103, 9, -104, -20, -8, 66, 126]
>>
>
>
>> 15/08/23 07:38:24 main INFO DefaultWriterContainer: Job job_****_****
>> committed.
>
>
> Anyone has experienced this before?
> Thanks!
>
>
>
