Hi all, I am using Apache Ignite 2.4 and I've successfully saved a Spark Dataframe as a SQL table in the Ignite caching layer.
I am trying to access the data from an external Java program (completely unrelated to the Spark Job that produced and saved the table) using the Cache API, as if it were a key/value store. The table, called 'PERSON', has a primary key field called UUID and maps to an Ignite cache called SQL_PUBLIC_PERSON. Using the Ignite Cache API I am able to check that that a specific entry exists in the cache calling: cache.containsKey(...) By the way, If I try to get the value calling cache.get(...) for a specific key I get a ClassNotFoundException (full stacktrace is attached). Now, I guess Ignite dinamically generated a schema bean for my DataFrame when saving the DataFrame itself in Spark. Since the generated bean class name also seems to be generated whith some internal rule (in this example it's 'SQL_PUBLIC_PERSON_da18b6a2_8b41_4c34_9451_6fd9ace8e73d') I am not sure if this usage pattern does make sense at all. I am very new to Apache Ignite so I'd like to apologize if this is a silly question, but I am not able to find any clue in the official documentation. Thanks, Luca
stacktrace.log
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