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From Okehee Goh <oke...@gmail.com>
Subject Re: SparkSQL can't read S3 path for hive external table
Date Mon, 01 Jun 2015 18:36:07 GMT
Thanks, Michael and Akhil.
Yes, it worked with Spark 1.3.1 along with AWS EMR AMI 3.7.
Sorry I didn't update the status.


On Mon, Jun 1, 2015 at 5:17 AM, Michael Armbrust <michael@databricks.com> wrote:
> This sounds like a problem that was fixed in Spark 1.3.1.
>
> https://issues.apache.org/jira/browse/SPARK-6351
>
> On Mon, Jun 1, 2015 at 5:44 PM, Akhil Das <akhil@sigmoidanalytics.com>
> wrote:
>>
>> This thread has various methods on accessing S3 from spark, it might help
>> you.
>>
>> Thanks
>> Best Regards
>>
>> On Sun, May 24, 2015 at 8:03 AM, ogoh <okehee@gmail.com> wrote:
>>>
>>>
>>> Hello,
>>> I am using Spark1.3 in AWS.
>>> SparkSQL can't recognize Hive external table on S3.
>>> The following is the error message.
>>> I appreciate any help.
>>> Thanks,
>>> Okehee
>>> ------
>>> 15/05/24 01:02:18 ERROR thriftserver.SparkSQLDriver: Failed in [select
>>> count(*) from api_search where pdate='2015-05-08']
>>> java.lang.IllegalArgumentException: Wrong FS:
>>>
>>> s3://test-emr/datawarehouse/api_s3_perf/api_search/pdate=2015-05-08/phour=00,
>>> expected: hdfs://10.128.193.211:9000
>>>         at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:647)
>>>         at
>>> org.apache.hadoop.fs.FileSystem.makeQualified(FileSystem.java:467)
>>>         at
>>>
>>> org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$6.apply(newParquet.scala:252)
>>>         at
>>>
>>> org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$6.apply(newParquet.scala:251)
>>> at
>>>
>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>>>
>>>
>>>
>>>
>>>
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>>
>

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