> Spark fails reading this table. What options do I have here?
Would your issue be the same as https://issues.apache.org/jira/browse/SPARK-13129? LLAPContext in Spark can read those tables with ACID semantics (as in delete/updates will work right). var conn = LlapContext.newInstance(sc, hs2_url); var df: DataFrame = conn.sql("select * from payees").persist(); Please be aware that's entirely in auto-commit mode, so you will be getting lazy snapshot isolation (hence, persist is a good idea). Even though "payees" is a placeholder, but this approach is intended for tables like that which have multiple consumers, the practical reason to use this pathway would be to apply specific masking/filtering by accessing user (like hide amounts or just fit amounts into ranges, like 0-99, 99-999 etc instead of actual values for compliance audits without creating complete copies). Cheers, Gopal
