Gents, I tried #3820. It doesn't work. I'm still getting the following exceptions:
Exception in thread "Thread-45" java.lang.RuntimeException: Unsupported datatype DateType at scala.sys.package$.error(package.scala:27) at org.apache.spark.sql.parquet.ParquetTypesConverter$anonfun$fromDataType$2.apply(ParquetTypes.scala:343) at org.apache.spark.sql.parquet.ParquetTypesConverter$anonfun$fromDataType$2.apply(ParquetTypes.scala:292) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.sql.parquet.ParquetTypesConverter$.fromDataType(ParquetTypes.scala:291) at org.apache.spark.sql.parquet.ParquetTypesConverter$anonfun$4.apply(ParquetTypes.scala:363) at org.apache.spark.sql.parquet.ParquetTypesConverter$anonfun$4.apply(ParquetTypes.scala:362) I would more than happy to fix this myself, but I would need some help wading through the code. Could anyone explain to me what exactly is needed to support a new data type in SparkSQL's Parquet storage engine? Thanks. Alex On Mon, Dec 29, 2014 at 10:20 PM, Wang, Daoyuan <daoyuan.w...@intel.com> wrote: > By adding a flag in SQLContext, I have modified #3822 to include > nanoseconds now. Since passing too many flags is ugly, now I need the whole > SQLContext, so that we can put more flags there. > > > > Thanks, > > Daoyuan > > > > *From:* Michael Armbrust [mailto:mich...@databricks.com] > *Sent:* Tuesday, December 30, 2014 10:43 AM > *To:* Alessandro Baretta > *Cc:* Wang, Daoyuan; dev@spark.apache.org > *Subject:* Re: Unsupported Catalyst types in Parquet > > > > Yeah, I saw those. The problem is that #3822 truncates timestamps that > include nanoseconds. > > > > On Mon, Dec 29, 2014 at 5:14 PM, Alessandro Baretta <alexbare...@gmail.com> > wrote: > > Michael, > > > > Actually, Adrian Wang already created pull requests for these issues. > > > > https://github.com/apache/spark/pull/3820 > > https://github.com/apache/spark/pull/3822 > > > > What do you think? > > > > Alex > > > > On Mon, Dec 29, 2014 at 3:07 PM, Michael Armbrust <mich...@databricks.com> > wrote: > > I'd love to get both of these in. There is some trickiness that I talk > about on the JIRA for timestamps since the SQL timestamp class can support > nano seconds and I don't think parquet has a type for this. Other systems > (impala) seem to use INT96. It would be great to maybe ask on the parquet > mailing list what the plan is there to make sure that whatever we do is > going to be compatible long term. > > > > Michael > > > > On Mon, Dec 29, 2014 at 8:13 AM, Alessandro Baretta <alexbare...@gmail.com> > wrote: > > Daoyuan, > > Thanks for creating the jiras. I need these features by... last week, so > I'd be happy to take care of this myself, if only you or someone more > experienced than me in the SparkSQL codebase could provide some guidance. > > Alex > > On Dec 29, 2014 12:06 AM, "Wang, Daoyuan" <daoyuan.w...@intel.com> wrote: > > Hi Alex, > > I'll create JIRA SPARK-4985 for date type support in parquet, and > SPARK-4987 for timestamp type support. For decimal type, I think we only > support decimals that fits in a long. > > Thanks, > Daoyuan > > -----Original Message----- > From: Alessandro Baretta [mailto:alexbare...@gmail.com] > Sent: Saturday, December 27, 2014 2:47 PM > To: dev@spark.apache.org; Michael Armbrust > Subject: Unsupported Catalyst types in Parquet > > Michael, > > I'm having trouble storing my SchemaRDDs in Parquet format with SparkSQL, > due to my RDDs having having DateType and DecimalType fields. What would it > take to add Parquet support for these Catalyst? Are there any other > Catalyst types for which there is no Catalyst support? > > Alex > > > > > > >