#Snowflake tasks update
Then run this update statement, which basically: Start a transaction using the begin statement. We have received 65 more items into inventory, so we need to update the inventory balance. Then query the orders_stream table: select * from orders_stream CREATE OR REPLACE STREAM orders_STREAM on table orders Snowflake will start tracking changes to that table. insert into products(productnumber, quantity) values ('EE333', 100) Now, add a product to the products table and give it a starting 100 units on-hand inventory. Sum those three orders and add 75 to the starting balance of 25 to get 100.Ĭreate these two tables: CREATE TABLE orders If you start with 25 items and make three replenishment orders of 25, 25, and 25, you would have 100 items on hand at the end. Products holds the inventory on-hand quantity.In order to follow along, create the orders and products table:
In actual use, you would want to run it as a Snowflake task on some kind of fixed schedule. When we receive replenishment orders, we need to increase on-hand inventory. Here we create a sample scenario: an inventory replenishment system.
#Snowflake tasks how to
As always, reach out if you have questions, and be sure to check out the other posts in this series to help you with all of your Snowflake questions.In this tutorial, we’ll show how to create and use streams in Snowflake. We’ve also shown how we can build a simple data pipeline utilizing our stored procedure template with Snowflake’s tasks and streams. With this pattern, you can transfer just about any existing stored procedure to Snowflake. We’re hiring! Snowflake Simplifiedīut really … Hopefully, we’ve shown that JavaScript stored procedures aren’t all that scary if we simply use them as a wrapper around our SQL. ,scheduled_time_range_start=>dateadd('hour',-1,current_timestamp())Ĭongrats! You’ve just written a Snowflake data pipeline. Let’s check when the task is scheduled to run by looking at the SCHEDULED_TIME column by querying the task history: SELECT * System$stream_has_data('source_table_stream')Īnd, finally, set it to run: ALTER TASK source_table_stream_procedure_task RESUME
We’ll create the task: CREATE OR REPLACE TASK source_table_stream_procedure_task Var select_stream_result = sql_select_stream.execute() TL DR: Below is a basic procedure template you can customize and extend for your use case: CREATE OR REPLACE PROCEDURE simple_stored_procedure_example() If you’ve read Snowflake’s documentation on the subject, you’ll know that Snowflake’s stored procedures are authored in JavaScript … 😬 My hope is that this post would demystify the JavaScript part and provide enough guidance on customizing your stored procedures to accommodate Snowflake’s pattern without having to be a JavaScript ninja. One question we often get when a customer is considering moving to Snowflake from another platform, like Microsoft SQL Server for instance, is what they can do about migrating their SQL stored procedures to Snowflake. This series takes you from zero to hero with the latest and greatest cloud data warehousing platform, Snowflake.
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