Hi, I’m afraid that we don’t have any native support for reading from Cassandra at the moment. The only things that I could find, are streaming sinks [1][2].
Piotrek [1] https://ci.apache.org/projects/flink/flink-docs-stable/dev/connectors/cassandra.html <https://ci.apache.org/projects/flink/flink-docs-stable/dev/connectors/cassandra.html> [2] https://ci.apache.org/projects/flink/flink-docs-release-1.10/dev/table/connect.html#further-tablesources-and-tablesinks <https://ci.apache.org/projects/flink/flink-docs-release-1.10/dev/table/connect.html#further-tablesources-and-tablesinks> > On 23 Feb 2020, at 10:03, Lasse Nedergaard <lassenedergaardfl...@gmail.com> > wrote: > > Hi. > > We would like to do some batch analytics on our data set stored in Cassandra > and are looking for an efficient way to load data from a single table. Not by > key, but random 15%, 50% or 100% > Data bricks has create an efficient way to load Cassandra data into Apache > Spark and they are doing it by reading from the underlying SS tables to load > in parallel. > Do we have something similarly in Flink, or how is the most efficient way to > load all, or many random data from a single Cassandra table into Flink? > > Any suggestions and/or recommendations is highly appreciated. > > Thanks in advance > > Lasse Nedergaard
