relational object
A relational object is a fundamental concept in relational databases, representing a structured collection of data organized into rows and columns.
A relational object is a fundamental concept in relational databases, representing a structured collection of data organized into rows and columns. In the context of SQL and database management systems like DuckDB, relational objects typically refer to tables, views, or query results. These objects adhere to the relational model, allowing for efficient data manipulation and retrieval through SQL operations. For example, in DuckDB, you can create a relational object as a table:
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CREATE TABLE employees (
id INTEGER,
name VARCHAR,
department VARCHAR
);
You can then query this relational object:
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SELECT * FROM employees WHERE department = 'Sales';
Relational objects enable data analysts and engineers to work with structured data in a consistent and standardized manner, facilitating complex queries, joins, and aggregations across multiple datasets.
Related terms
A relational database is a structured collection of data organized into tables with rows and columns.
relational API →The relational API in DuckDB provides a fluent, Pythonic interface for constructing and executing SQL queries programmatically.
database →A database is a structured collection of data organized for efficient storage, retrieval, and management.
table →A table is a fundamental structure in a relational database that organizes data into rows and columns, similar to a spreadsheet.
DB-API 2.0 →DB-API 2.0 is a standardized Python interface for accessing relational databases.
Object storage →Object storage is a data storage architecture that manages data as discrete objects — each with data, metadata, and a unique identifier — in a flat namespace, accessed over HTTP APIs rather than a traditional file system hierarchy.
