XA transactions are not a very familiar concept to lots of people and therefore hardly used. An XA transaction is a two-phase commit protocol that supports distributed transactions that updates multiple relational databases. It involves a transaction manager that monitors this global transaction. XA makes sure that transactional updates are committed in all of the participating databases in this global transaction, or are fully rolled back out of all of the databases, reverting to the state prior to the start of the transaction. XA transactions are also useful when you need to coordinate a transaction between different databases.
MySQL uses replication to copy data asynchronously from one MySQL database server (source) to another (replica). MySQL replication uses the binary log file to keep changes (UPDATE, DELETE, INSERT) from the source server. Each replica that is connected to this source server requests a copy of this binary log file via replication to run on the replica database server.
XA transactions, when used with a MySQL binary log, can cause instability and leave the server and binary log in an inconsistent state if there is an unexpected halt to the server in the middle of this XA transaction.
In this AWS Database Blog Post, Stanley, Baruch and I present a solution to safely replicate data with XA transactions from Amazon Relational Database Service (Amazon RDS) for MySQL applications to Amazon OpenSearch Service using Amazon Kinesis Data Streams and AWS Lambda.
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