Hi Michael, I’ve looked through the example and the test cases and I think I understand what we need to do - so I’ll give it a go.
I think what I’d like to try to do is allow files to be added at anytime, so perhaps I can cache partition info, and also what may be useful for us would be to derive schema from the set of all files, hopefully this is achievable also. Thanks Mick > On 30 Dec 2014, at 04:49, Michael Armbrust <mich...@databricks.com> wrote: > > You can't do this now without writing a bunch of custom logic (see here for > an example: > https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala > > <https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala>) > > I would like to make this easier as part of improvements to the datasources > api that we are planning for Spark 1.3 > > On Mon, Dec 29, 2014 at 2:19 AM, Mickalas <michael.belldav...@gmail.com > <mailto:michael.belldav...@gmail.com>> wrote: > I see that there is already a request to add wildcard support to the > SQLContext.parquetFile function > https://issues.apache.org/jira/browse/SPARK-3928 > <https://issues.apache.org/jira/browse/SPARK-3928>. > > What seems like a useful thing for our use case is to associate the > directory structure with certain columns in the table, but it does not seem > like this is supported. > > For example we want to create parquet files on a daily basis associated with > geographic regions and so will create a set of files under directories such > as: > > * 2014-12-29/Americas > * 2014-12-29/Asia > * 2014-12-30/Americas > * ... > > Where queries have predicates that match the column values determinable from > directory structure it would be good to only extract data from matching > files. > > Does anyone know if something like this is supported, or whether this is a > reasonable thing to request? > > Mick > > > > > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Mapping-directory-structure-to-columns-in-SparkSQL-tp20880.html > > <http://apache-spark-user-list.1001560.n3.nabble.com/Mapping-directory-structure-to-columns-in-SparkSQL-tp20880.html> > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > <mailto:user-unsubscr...@spark.apache.org> > For additional commands, e-mail: user-h...@spark.apache.org > <mailto:user-h...@spark.apache.org> > >