Effective Use of Primary Keys and Indexing for Efficient Data Manipulation

Primary keys uniquely identify records based on the partition path, enabling partition-level uniqueness and fast updates. Hoodie can automatically generate primary keys if not specified, ensuring uniqueness. Different types of indexing mechanisms like bloom filters and bucket index are used for efficient updates and deletes. Record level indexing is important for update-heavy workloads. Indexing allows for targeted record updates, ignoring unrelated changes, which eliminates the need for expensive merge operations. Data lakes store structured and unstructured data for read-only workloads, while data lake houses allow for data mutability and updates, facilitating efficient data manipulation and analysis.