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From Pei-Lun Lee <pl...@appier.com>
Subject Re: SparkSQL 1.3.0 cannot read parquet files from different file system
Date Tue, 17 Mar 2015 02:50:07 GMT
Looks like this is already solved in
https://issues.apache.org/jira/browse/SPARK-6330

On Mon, Mar 16, 2015 at 6:43 PM, Cheng Lian <lian.cs.zju@gmail.com> wrote:

>  Oh sorry, I misread your question. I thought you were trying something
> like parquetFile(“s3n://file1,hdfs://file2”). Yeah, it’s a valid bug.
> Thanks for opening the JIRA ticket and the PR!
>
>
> Cheng
>
> On 3/16/15 6:39 PM, Cheng Lian wrote:
>
>   Hi Pei-Lun,
>
> We intentionally disallowed passing multiple comma separated paths in
> 1.3.0. One of the reason is that users report that this fail when a file
> path contain an actual comma in it. In your case, you may do something like
> this:
>
> val s3nDF = parquetFile("s3n
> ://...
> ")val hdfsDF = parquetFile("hdfs://...")val finalDF = s3nDF.union(finalDF)
>
> Cheng
>
> On 3/16/15 4:03 PM, Pei-Lun Lee wrote:
>
> Hi,
>
> I am using Spark 1.3.0, where I cannot load parquet files from more than
> one file system, say one s3n://... and another hdfs://..., which worked in
> older version, or if I set spark.sql.parquet.useDataSourceApi=false in 1.3.
>
> One way to fix this is instead of get a single FileSystem from default
> configuration in ParquetRelation2, call Path.getFileSystem for each path.
>
> Here's the JIRA link and pull request:https://issues.apache.org/jira/browse/SPARK-6351https://github.com/apache/spark/pull/5039
>
> Thanks,
> --
> Pei-Lun
>
>
>  ​
>
>   ​
> ​
> ​
>

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