Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
Español
  • Data Engineering Integration 10.4.1
  • Todos los productos

Índice

Search

  1. Prólogo
  2. Introducción a la ingesta masiva
  3. Preparar
  4. Crear
  5. Implementar
  6. Run
  7. Supervisor
  8. Apéndice A: Referencia de comando infacmd mi

Guía de ingesta masiva

Guía de ingesta masiva

Anterior Siguiente

Datos incrementales

Datos incrementales

Puede configurar una especificación de ingesta masiva para ingerir datos incrementales, que son datos que se han modificado entre distintas ejecuciones de la especificación.
Para ingerir datos incrementales, habilite la carga incremental en la especificación y configure las siguientes opciones de carga incremental:
  • Clave incremental. Clave que el motor de Spark utiliza para obtener datos incrementales.
  • Modo incremental. Modo que el motor de Spark utiliza para ingerir datos incrementales.
Si se ingieren datos en un destino de Hive, también se pueden propagar los cambios de esquema para dar cabida a los desfases de esquema en la base de datos relacional.
Si no habilita la carga incremental, solo podrá utilizar cargas completas para ingerir datos. Una carga completa ingiere todos los datos en el destino cada vez que la especificación se ejecuta.