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From Yana Kadiyska <>
Subject Re: Using Spark SQL with multiple (avro) files
Date Wed, 14 Jan 2015 15:20:15 GMT
If the wildcard path you have doesn't work you should probably open a bug
-- I had a similar problem with Parquet and it was a bug which recently got
closed. Not sure if sqlContext.avroFile shares a codepath with
can try running with bits that have the fix for .parquetFile or look at the
Here was my question for reference:

On Wed, Jan 14, 2015 at 4:34 AM, David Jones <>

> Hi,
> I have a program that loads a single avro file using spark SQL, queries
> it, transforms it and then outputs the data. The file is loaded with:
> val records = sqlContext.avroFile(filePath)
> val data = records.registerTempTable("data")
> ...
> Now I want to run it over tens of thousands of Avro files (all with
> schemas that contain the fields I'm interested in).
> Is it possible to load multiple avro files recursively from a top-level
> directory using wildcards? All my avro files are stored under
> s3://my-bucket/avros/*/DATE/*.avro, and I want to run my task across all of
> these on EMR.
> If that's not possible, is there some way to load multiple avro files into
> the same table/RDD so the whole dataset can be processed (and in that case
> I'd supply paths to each file concretely, but I *really* don't want to have
> to do that).
> Thanks
> David

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