How does write through work? I mean if I add a row in Ignite dataframe, how does it reflect to spark?
I have 50 rows in Ignite and all 100 rows in Spark. If I perform a union all, wont the performance degrade? I mean if will get slower than just querying spark On Tue, 18 Jul, 2023, 10:43 pm Stephen Darlington, < stephen.darling...@gridgain.com> wrote: > Write through works regardless of how you insert data into Ignite. > > I’m not clear what you mean by federated query. Are the records in Spark a > subset of those in the cache? > > Assuming not, create a data frame with a SQL query against Ignite. Create > a data frame with a SQL query against your Spark data frame. Union together. > > > On 13 Jul 2023, at 08:27, Arunima Barik <arunimabari...@gmail.com> > wrote: > > > > Hello Team > > > > I want to build a read write through Ignite cache over Spark > > > > If I have 50 rows in the cache and entire 100 row data in spark then how > can I use federated queries? > > > > Also, how to perform write through using Sql queries? > > > > Regards > > Arunima > >
