Transactional tables in Hive support ACID properties. Unlike non-transactional tables, data read from transactional tables is transactionally consistent, irrespective of the state of the database. Of course, this imposes specific demands on replication of such tables, hence why Hive replication was designed with the following assumptions:
1. A replicated database may contain more than one transactional table with cross-table integrity constraints.
2. A target may host multiple databases, some replicated and some native to the target. The databases replicated from the same source may have transactional tables with cross-database integrity constraints.
3. A user should be able to run read-only workloads on the target and should be able to read transactionally consistent data.
4. Since in Hive a read-only transaction requires a new transaction-id, the transaction-ids on the source and the target of replication may differ. Thus transaction-ids can not be used for reading transactionally consistent data across source and replicated target.
Read on to learn why these assumptions are in place and what they mean for replication.