What is Transaction and Why There is a Limit?

A set of operations or actions that are grouped together and treated as a single unit of work. These operations are typically performed to exchange or manipulate data between different systems or applications. The primary purpose of transactions in an integration platform is to ensure data integrity and consistency. By treating a set of operations as a transaction, the platform can guarantee that all the operations within the transaction are successfully completed, or none of them is. If any part of the transaction fails, it can be rolled back, reverting the system to its previous state.

• Atomicity: A transaction is designed to be atomic, meaning it is treated as a single unit of work. Either all the operations within the transaction are successfully completed, or none of them are. If any part fails, the entire transaction is rolled back, and the system returns to its previous state.
• Consistency: Transactions help maintain data consistency across multiple systems. For example, when data is transferred from one system to another, a transaction ensures that the data is either fully transferred and successfully stored in the target system or not transferred.
• Isolation: Transactions ensure that concurrent transactions do not interfere with each other. When multiple transactions run simultaneously, they are isolated from one another, so the changes made by one transaction are not visible to other transactions until they are committed.
• Durability: Once a transaction is committed, its changes are durable and permanent. Even during a system failure or power outage, the changes made by a committed transaction are preserved.

• Resource Management: Transactions can consume system resources such as memory, CPU, and storage. Limiting the number or size of transactions helps manage and allocate these resources effectively. It prevents a single transaction from monopolising resources and impacting the overall performance of the integration platform.
• Performance Optimization: Processing large or numerous transactions can be resource-intensive and time-consuming. By imposing limits, the integration platform can optimise performance by balancing the workload and preventing overload situations. This ensures that transactions can be processed efficiently within acceptable time frames.
• Scalability: Integration platforms often need to handle a high volume of transactions. Setting limits helps scale the platform horizontally by distributing the workload across multiple instances or nodes. It allows for better load balancing and ensures the platform can handle increased transactional demands.
• Error Handling and Recovery: Limiting the scope of transactions can simplify error handling and recovery processes. Smaller, well-defined transactions make identifying and isolating errors easier, facilitating troubleshooting and minimising the impact of failures. It also allows for faster recovery by rolling back or retrying a specific transaction rather than a larger batch.