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ClickHouse Data Modeling for Postgres Users
Learn data modeling tips while transitioning from Postgres to ClickHouse. Discover how to leverage ClickHouse’s ReplacingMergeTree engine, handle duplicates, and optimize performance using the right Ordering Key and PRIMARY KEY strategies. This guide offe
This behavior is due to the fact that storing NULLs can impact query performance in ClickHouse, as it’s a columnar database. This keeps the index small, allowing ClickHouse to quickly identify relevant groups of rows using a binary search and execute queries efficiently. NOTE: After creating the materialized view, be sure to follow the steps described in the previous section on handling duplicates to ensure proper deduplication during query time.
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