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From Michael Armbrust <mich...@databricks.com>
Subject Re: Can a DataFrame be saved to s3 directly using Parquet?
Date Wed, 25 Mar 2015 19:15:11 GMT
This will be fixed in Spark 1.3.1:
https://issues.apache.org/jira/browse/SPARK-6351

and is fixed in master/branch-1.3 if you want to compile from source

On Wed, Mar 25, 2015 at 11:59 AM, Stuart Layton <stuart.layton@gmail.com>
wrote:

> I'm trying to save a dataframe to s3 as a parquet file but I'm getting
> Wrong FS errors
>
> >>> df.saveAsParquetFile(parquetFile)
> 15/03/25 18:56:10 INFO storage.MemoryStore: ensureFreeSpace(46645) called
> with curMem=82744, maxMem=278302556
> 15/03/25 18:56:10 INFO storage.MemoryStore: Block broadcast_5 stored as
> values in memory (estimated size 45.6 KB, free 265.3 MB)
> 15/03/25 18:56:10 INFO storage.MemoryStore: ensureFreeSpace(7078) called
> with curMem=129389, maxMem=278302556
> 15/03/25 18:56:10 INFO storage.MemoryStore: Block broadcast_5_piece0
> stored as bytes in memory (estimated size 6.9 KB, free 265.3 MB)
> 15/03/25 18:56:10 INFO storage.BlockManagerInfo: Added broadcast_5_piece0
> in memory on ip-172-31-1-219.ec2.internal:58280 (size: 6.9 KB, free: 265.4
> MB)
> 15/03/25 18:56:10 INFO storage.BlockManagerMaster: Updated info of block
> broadcast_5_piece0
> 15/03/25 18:56:10 INFO spark.SparkContext: Created broadcast 5 from
> textFile at JSONRelation.scala:98
> Traceback (most recent call last):
>   File "<stdin>", line 1, in <module>
>   File "/root/spark/python/pyspark/sql/dataframe.py", line 121, in
> saveAsParquetFile
>     self._jdf.saveAsParquetFile(path)
>   File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
> line 538, in __call__
>   File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
> line 300, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling
> o22.saveAsParquetFile.
> : java.lang.IllegalArgumentException: Wrong FS:
> s3n://com.my.bucket/spark-testing/, expected: hdfs://
> ec2-52-0-159-113.compute-1.amazonaws.com:9000
>
>
> Is it possible to save a dataframe to s3 directly using parquet?
>
> --
> Stuart Layton
>

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