Should I be able to pass multiple paths separated by commas? I haven't tried but didn't think it'd work. I'd expected a function that accepted a list of strings.
On Wed, Jan 14, 2015 at 3:20 PM, Yana Kadiyska <yana.kadiy...@gmail.com> wrote: > 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 > .parquetFile...you > can try running with bits that have the fix for .parquetFile or look at the > source... > Here was my question for reference: > > http://mail-archives.apache.org/mod_mbox/spark-user/201412.mbox/%3ccaaswr-5rfmu-y-7htluj2eqqaecwjs8jh+irrzhm7g1ex7v...@mail.gmail.com%3E > > On Wed, Jan 14, 2015 at 4:34 AM, David Jones <letsnumsperi...@gmail.com> > wrote: > >> 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 >> > >
