The Easiest Way to Replicate Postgres Data to Snowflake
Learn how to replicate PostgreSQL to Snowflake using Estuary and CDC. Build a step-by-step pipeline that captures inserts, updates, and deletes.
Change Data Capture (CDC) simplifies the process of replicating data from PostgreSQL to Snowflake. Rather than copying entire tables frequently, CDC listens for changes in the PostgreSQL database and forwards them downstream, allowing for incremental updates. This approach is particularly useful when dealing with large tables that only experience minor updates, as it reduces the amount of data transferred.
However, special handling is required for deleted rows, as they don't automatically appear in UPDATE queries. The CDC pipeline involves configuring PostgreSQL for logical replication, collecting changes in Estuary collections, and materializing those collections in Snowflake. The Write-Ahead Log (WAL) feature in PostgreSQL is crucial to this process, as it records all modifications made to the database.
When the wal_level is set to logical, PostgreSQL adds additional data required for logical decoding, enabling CDC to provide table-level and row-level change information. This allows for efficient, continuous synchronization of PostgreSQL and Snowflake databases without the need to manage an additional replication layer.
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