I'm not sure I follow what the discussion topic is here > For example, a Cassandra catalog or a JDBC catalog that exposes tables in those systems will definitely not support users marking tables with the “parquet” data source.
I don't understand why a Cassandra Catalogue wouldn't be able to store metadata references for a parquet table just as a Hive Catalogue can store references to a C* datastource. We currently store HiveMetastore data in a C* table and this allows us to store tables with any underlying format even though the catalogues' implantation is written in C*. Is the idea here that a table can't have multiple underlying formats in a given catalogue? And the USING can then be used on read to force a particular format? > I think other catalogs should be able to choose what to do with the USING string This makes sense to me, but i'm not sure why any catalogue would want to ignore this? It would be helpful to me to have a few examples written out if that is possible with Old Implementation and New Implementation Thanks for your time, Russ On Mon, Aug 20, 2018 at 11:33 AM Ryan Blue <rb...@netflix.com.invalid> wrote: > Thanks for posting this discussion to the dev list, it would be great to > hear what everyone thinks about the idea that USING should be a > catalog-specific storage configuration. > > Related to this, I’ve updated the catalog PR, #21306 > <https://github.com/apache/spark/pull/21306>, to include an > implementation that translates from the v2 TableCatalog API > <https://github.com/apache/spark/pull/21306/files#diff-a9d913d11630b965ef5dd3d3a02ca452> > to the current catalog API. That shows how this would fit together with v1, > at least for the catalog part. This will enable all of the new query plans > to be written to the TableCatalog API, even if they end up using the > default v1 catalog. > > On Mon, Aug 20, 2018 at 12:19 AM Hyukjin Kwon <gurwls...@gmail.com> wrote: > >> Hi all, >> >> I have been trying to follow `USING` syntax support since that looks >> currently not supported whereas `format` API supports this. I have been >> trying to understand why and talked with Ryan. >> >> Ryan knows all the details and, He and I thought it's good to post here - >> I just started to look into this. >> Here is Ryan's response: >> >> >> >USING is currently used to select the underlying data source >> implementation directly. The string passed in USING or format in the DF >> API is used to resolve an implementation class. >> >> The existing catalog supports tables that specify their datasource >> implementation, but this will not be the case for all catalogs when Spark >> adds multiple catalog support. For example, a Cassandra catalog or a JDBC >> catalog that exposes tables in those systems will definitely not support >> users marking tables with the “parquet” data source. The catalog must have >> the ability to determine the data source implementation. That’s why I think >> it is valuable to think of the current ExternalCatalog as one that can >> track tables with any read/write implementation. Other catalogs can’t and >> won’t do that. >> >> > In the catalog v2 API <https://github.com/apache/spark/pull/21306> I’ve >> proposed, everything from CREATE TABLE is passed to the catalog. Then >> the catalog determines what source to use and returns a Table instance >> that uses some class for its ReadSupport and WriteSupport implementation. >> An ExternalCatalog exposed through that API would receive the USING or >> format string as a table property and would return a Table that uses the >> correct ReadSupport, so tables stored in an ExternalCatalog will work as >> they do today. >> >> > I think other catalogs should be able to choose what to do with the >> USING string. An Iceberg <https://github.com/Netflix/iceberg> catalog >> might use this to determine the underlying file format, which could be >> parquet, orc, or avro. Or, a JDBC catalog might use it for the >> underlying table implementation in the DB. This would make the property >> more of a storage hint for the catalog, which is going to determine the >> read/write implementation anyway. >> >> > For cases where there is no catalog involved, the current plan is to >> use the reflection-based approach from v1 with the USING or format string. >> In v2, that should resolve a ReadSupportProvider, which is used to >> create a ReadSupport directly from options. I think this is a good >> approach for backward-compatibility, but it can’t provide the same features >> as a catalog-based table. Catalogs are how we have decided to build >> reliable behavior for CTAS and the other standard logical plans >> <https://docs.google.com/document/d/1gYm5Ji2Mge3QBdOliFV5gSPTKlX4q1DCBXIkiyMv62A/edit?ts=5a987801#heading=h.m45webtwxf2d>. >> CTAS is a create and then an insert, and a write implementation alone can’t >> provide that create operation. >> >> I was targeting the last case (where there is no catalog involved) in >> particular. I was thinking that approach is also good since `USING` syntax >> compatibility should be kept anyway - this should reduce migration cost as >> well. Was wondering about what you guys think about this. >> If you guys could think the last case should be supported anyway, I was >> thinking we could just orthogonally proceed. If you guys think other issues >> should be resolved first, I think we (at least I will) should take a look >> for the set of catalog APIs. >> >> > > -- > Ryan Blue > Software Engineer > Netflix >
