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Hi @Avinash_Narala, The key differences between File Trigger and Autoloader in Databricks are:
Autoloader
Autoloader is a tool for ingesting files from storage and doing file discovery.
It is designed for incremental data ingestion, processing new files as they arrive in the source location. Autoloader is recommended to be used with Delta Live Tables for production-quality data pipelines.
Autoloader provides features like automatic schema evolution, data quality checks, and monitoring through metrics.
Autoloader can be scheduled to run in batch mode using the Trigger.AvailableNow option to process all new files since the last run.
File Arrival Trigger
File Arrival Triggers are an in-product mechanism in Databricks to start a workflow based on the arrival of a file in storage.
They are used for orchestration, to trigger a Databricks job or workflow when a new file arrives, rather than for the actual data ingestion.
File Arrival Triggers are better suited for use cases where you need to react to new files arriving and kick off a specific workflow in response.
In summary, Autoloader is the recommended tool for data ingestion and processing, while File Arrival Triggers are more suitable for orchestrating workflows in response to new files arriving.
Hi @Avinash_Narala, The key differences between File Trigger and Autoloader in Databricks are:
Autoloader
Autoloader is a tool for ingesting files from storage and doing file discovery.
It is designed for incremental data ingestion, processing new files as they arrive in the source location. Autoloader is recommended to be used with Delta Live Tables for production-quality data pipelines.
Autoloader provides features like automatic schema evolution, data quality checks, and monitoring through metrics.
Autoloader can be scheduled to run in batch mode using the Trigger.AvailableNow option to process all new files since the last run.
File Arrival Trigger
File Arrival Triggers are an in-product mechanism in Databricks to start a workflow based on the arrival of a file in storage.
They are used for orchestration, to trigger a Databricks job or workflow when a new file arrives, rather than for the actual data ingestion.
File Arrival Triggers are better suited for use cases where you need to react to new files arriving and kick off a specific workflow in response.
In summary, Autoloader is the recommended tool for data ingestion and processing, while File Arrival Triggers are more suitable for orchestrating workflows in response to new files arriving.
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