Internally, PostgreSQL organizes data into data pages and data rows for efficient storage and retrieval. Let’s dive into the details of how these components work in PostgreSQL:
1. Data Pages
-Storage:PostgreSQL stores data in fixed-size pages, typically 8 KB, which hold data rows and metadata.
– Allocation: PostgreSQL manages data pages through a storage management system. When you create a table, PostgreSQL allocates data pages to store its rows. As the table grows and more rows are inserted, it dynamically assigns additional data pages.
– Indexing: PostgreSQL uses various types of indexes (e.g., B-tree, Hash, GiST, GIN) to speed up data retrieval. It stores these indexes in data pages alongside data rows.
2. Data Rows
– Structure: Data rows represent individual records or entries within a table. Each data row consists of fixed-length and variable-length fields.
– Fixed-length fields: These fields store data types with a fixed size, such as integers or fixed-length strings.
– Variable-length fields: These fields store data types with variable sizes, such as variable-length strings or arrays. Variable-length fields include a pointer within the data row, which references the actual data stored elsewhere.
– Storage: PostgreSQL stores data rows within data pages. When it inserts a new data row, it places the row in an available space within a data page. If there isn’t enough space, PostgreSQL performs a page split, creating a new data page and redistributing some of the rows.
– Visibility: PostgreSQL uses a multi-version concurrency control (MVCC) mechanism to handle concurrent transactions. Each data row has transaction-related metadata, including a transaction ID (XID) and a visibility marker, to determine its visibility to other transactions.
To optimize data retrieval, PostgreSQL employs various techniques like caching, query planning, and indexing. Caching involves keeping frequently accessed data pages and indexes in memory for faster access. Query planning involves analyzing the query and selecting the most efficient execution plan. Indexes provide a way to quickly locate data based on certain criteria, improving query performance.
Overall, PostgreSQL’s storage and retrieval mechanisms, including data pages and data rows, are designed to balance efficient data organization, concurrency control, and query performance.
