What is the primary purpose of partitioning staged data files for regular data loads?
What is the primary purpose of partitioning staged data files for regular data loads?
The primary purpose of partitioning staged data files for regular data loads is to improve the performance of data loads. By partitioning data, you can narrow the data load process to the most relevant files, effectively optimizing the loading speed and efficiency.
It's A & D : https://docs.snowflake.com/en/user-guide/data-load-considerations-stage#organizing-data-by-path A-> When loading your staged data, narrow the path to the most granular level that includes your data for improved data load performance D-> Organizing your data files by path lets you copy any fraction of the partitioned data into Snowflake with a single command
When staging regular data sets, we recommend partitioning the data into logical paths that include identifying details such as geographical location or other source identifiers, along with the date when the data was written. Organizing your data files by path lets you copy any fraction of the partitioned data into Snowflake with a single command. This allows you to execute concurrent COPY statements that match a subset of files, taking advantage of parallel operations. https://docs.snowflake.com/en/user-guide/data-load-considerations-stage#organizing-data-by-path