# Snowflake - Upsert action

Workato offers both batch and single upsert row actions. This allows you the flexibility to choose the action that you require for your recipe and to fulfill your business needs.

# Upsert batch of rows

This action allows you to upsert multiple rows in a single action instead of one row at a time. This provides higher throughput when you are moving a large number of records from one app to Snowflake. Depending on the structure of your recipe and volume of data, this action can reduce integration time by a factor of 100.

Upsert batch of rows action Upsert batch of rows action

# Table

Just like with the single row upsert action, you need to select the target table first.

# Rows source list

Unlike the Upsert row action (where we deal with a single row), we are now dealing with a batch of rows. Hence, the next datapill to input is the source of the batch of rows to upsert to the table. This can come from any trigger or action that outputs a list datapill.

If you do not map a list datapill to this field, this action will upsert only 1 row and will behave like the Upsert row action.

# Columns

Finally, you will need to map the required fields from the output datatree here to upsert rows with data from preceding trigger or actions. Take note that datapills mapped to each column here should be from the source list datapill you used earlier. Datapills that are mapped outside the source list datapill will not be iterated (mappings like this will become a constant value for all rows).

Similar to the Upsert row action, primary key values provided will be used to determine an update or create for each row.

Refer to the List management guide for more information about working with batches.

# Next steps

Learn more about the other triggers and actions Workato has to offer for Snowflake

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Last updated: 10/2/2020, 3:06:49 PM