I recently contacted one of the active contributors asking about the purpose of the project and here's his reply:
>From my understanding, Quicksql is a data virtualization platform. It can > query multiple data sources altogether and in a distributed way; Say, you > can write a SQL with a MySql table join with an Elasticsearch table. > Quicksql can recognize that, and then generate Spark code, in which it will > fetch the MySQL/ES data as a temporary table separately, and then join them > in Spark. The execution is in Spark so it is totally distributed. The user > doesn't need to aware of where the table is from. > I understand that the Spark convention Calcite has attempts to achieve the same goal, but it isn't fully implemented yet. On Tue, Oct 29, 2019 at 9:43 PM Julian Hyde <jh...@apache.org> wrote: > Anyone know anything about Quicksql? It seems to be quite a popular > project, and they have an internal fork of Calcite. > > https://github.com/Qihoo360/ <https://github.com/Qihoo360/> > > > https://github.com/Qihoo360/Quicksql/tree/master/analysis/src/main/java/org/apache/calcite > < > https://github.com/Qihoo360/Quicksql/tree/master/analysis/src/main/java/org/apache/calcite > > > > Julian > >
