DMLOperation

DMLOperation is a conceptual term used in database systems and data-access layers to denote an operation that modifies stored data under the Data Manipulation Language (DML). In most relational and many NoSQL systems, DML comprises actions that insert, update, delete, or merge records. A DMLOperation represents one of these actions as a discrete, programmable unit, often within an API, ORM, or data-change pipeline.

A DMLOperation may specify the operation type (insert, update, delete, merge), the target data store and table, the data to apply or the selection criteria, and optional metadata such as a timestamp or user identity. In practice it can be modeled as a small object or record with fields like operation, table, values, conditions, and mode (for example, a safe upsert). This abstraction helps separate business logic from the particulars of query syntax in a given data store.

Usage and benefits: DMLOperations are commonly batched for efficiency, logged for auditing, and executed within transactions to preserve atomicity. They enable features such as change-data-capture, rollback, and conflict resolution. Depending on system design, DMLOperation objects may be translated into SQL statements, API calls, or native data-store commands, allowing a uniform representation of data changes across diverse backends.

Relation to DQL: Select statements query data rather than modify it and are typically categorized outside DML. In design contexts, DMLOperation emphasizes clear semantics and robust error handling to prevent partial updates and to support reliable retries in distributed or transactional environments.