judo-runtime:dao-patterns

JUDO DAO payload processors handle data manipulation by processing data transfer objects for inserts, updates, and deletes. The InsertPayloadDaoProcessor specifically generates the SQL statements required for persisting new entities. These processors ensure robust data manipulation logic through recursive insertion, merge updates, and cascade deletion mechanisms.

Instance collectors in JUDO data access operations gather and traverse entity graphs for complex actions like deletion. They enable cascade deletion mechanisms by ensuring all related instances within the entity graph are collected and properly processed during a single data access operation.

To implement custom processors for new data entities in JUDO, structure your payload processors to generate the necessary SQL statements for persistence. Use the InsertPayloadDaoProcessor as a foundation to understand statement generation and adapt the architecture to support recursive insertion and merge updates.

You should use recursive insertion and cascade deletion in a DAO architecture when manipulating complex entity graphs that require synchronized persistence. Recursive insertion handles nested data structures, while cascade deletion ensures all related instances are removed automatically during data access operations.

Yes, the JUDO DAO framework supports merge updates for existing records as part of its core data manipulation logic. Merge updates are integrated into the payload processing architecture, allowing developers to update entities by merging new data with existing persisted records.

JUDO DAO processors generate different SQL statement types for data manipulation, including statements for inserts, merge updates, and cascade deletions. The specific statement type depends on the payload processor used, such as the InsertPayloadDaoProcessor for creating new entity persistence logic.