Thanks for prompt reply. So if I want to cache dataframe in IgniteCache, I have to do define a custom data model class(e.g. https://github.com/apache/ignite/blob/master/examples/src/main/java/org/apache/ignite/examples/model/Person.java ) as a schema of dataframe, then construct objects and declare cache to be data model type? In other words, I have to do DataFrame => Custom class object => IgniteRDD. And when I retrieve it, I have to do IgniteRDD => Custom class object => DataFrame, right?
Do I have other options for caching dataframe? -- View this message in context: http://apache-ignite-users.70518.x6.nabble.com/Fail-to-cache-rdd-java-lang-NoSuchMethodError-scala-Predef-conforms-Lscala-Predef-less-colon-less-tp8123p8126.html Sent from the Apache Ignite Users mailing list archive at Nabble.com.
