> > > 1. In Spark 1.3.0, timestamp support was added, also Spark SQL uses > its own Parquet support to handle both read path and write path when > dealing with Parquet tables declared in Hive metastore, as long as you’re > not writing to a partitioned table. So yes, you can. > > Ah, I had missed the part about being partitioned or not. Is this related to the work being done on ParquetRelation2 ?
We will indeed write to a partitioned table : do neither the read nor the write path go through Spark SQL's parquet support in that case ? Is there a JIRA/PR I can monitor to see when this would change ? Thanks
