t provides a single platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing and consumption of real-time/shared data.
Snowflake enables data storage, processing, and analytic solutions.
The Snowflake Table destination supports batch and real-time syncs.
For batch syncs of 10 records or less, single Insert/Update/Delete statements are executed to perform operations against the target Snowflake table.
For batch syncs exceeding 10 records, the operations are performed in bulk.
The bulk operation process consists of:
- 1.Generating a CSV containing a batch of records
- 2.Creating a temporary table in Snowflake
- 3.Copying the generated CSV into the temp table
- 4.If needed, performing Insert operations against the target Snowflake table using the temp table
- 5.If needed, performing Update operations against the target Snowflake table using the temp table
- 6.If needed, performing Delete operations against the target Snowflake table using the temp table
- 7.Dropping the temporary table
Real time sync volume size is based on a dynamic batch size up to configurable threshold.
- The temporary table generated in the bulk flow process for high volume scenarios transforms all columns of data type Number to be of type NUMBER(38, 18). This may cause precision loss if the number scale in the target table is higher
The following table outlines the mandatory and optional parameters you will find on the Destination tab (Image 1).
The following parameters will help to define your data sync destination and how it functions.
The Column Mapping section is where you define which source columns you want to sync to which destination columns. You can repeat the values for multiple columns. When specifying the Target Column in the Column Mappings section, all names are case-sensitive.
Image 2: Define your Destination