Hi Eric,
Something along the lines of the following should work
val fs = getFileSystem(...) // standard hadoop API call
val filteredConcatenatedPaths = fs.listStatus(topLevelDirPath,
pathFilter).map(_.getPath.toString).mkString(",") // pathFilter is an
instance of org.apache.hadoop.fs.PathFilter
val parquetRdd = sc.hadoopFile(filteredConcatenatedPaths,
classOf[ParquetInputFormat[Something]], classOf[Void],
classOf[SomeAvroType], getConfiguration(...))
You have to do some initializations on ParquetInputFormat such as
AvroReadSetup/AvroWriteSupport etc but that you should be doing
already I am guessing.
Cheers,
Nat
On Sun, Sep 14, 2014 at 7:37 PM, Eric Friedman
<eric.d.fried...@gmail.com> wrote:
> Hi,
>
> I have a directory structure with parquet+avro data in it. There are a
> couple of administrative files (.foo and/or _foo) that I need to ignore when
> processing this data or Spark tries to read them as containing parquet
> content, which they do not.
>
> How can I set a PathFilter on the FileInputFormat used to construct an RDD?
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