In snowflake, Streams are a powerful feature designed for tracking changes (like inserts, updates, and deletes) to a table. They allow you to capture data changes in realtime and use this data for various purposes, such as incremental loading, change data capture (CDC), or auditing. Here’s an overview of Streams in Snowflake and how to use them: What is a Stream in Snowflake? A Stream in Snowflake is an object that tracks changes (DML operations like INSERT, UPDATE, and DELETE) made to a table. It captures these changes in a special table that is internally managed by Snowflake, and these changes can then be queried. A Stream has two important components: Change tracking:It captures DML changes, including the type of change (insert, update, delete). Metadata:Information such as the row’s previous state for updates, and how many rows have changed since the last time the stream was queried. How to Create a Stream You can create a stream on a table using the CREATE STREAM command. Basic Syntax: CREATE OR REPLACE STREAM <stream_name> ON TABLE <table_name> [ SHOW_INITIAL_ROWS = TRUE | FALSE ]; SHOW_INITIAL_ROWS: If set to TRUE, it will include existing rows in the stream at…
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