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CREATE TABLE statement

A CREATE TABLE statement is a data-definition command that creates a table and specifies its columns, types, keys, constraints, and other schema properties.

How 6 Manning books explain it

Build Python Web Apps with Streamlit

CREATE TABLE is a SQL statement that creates a table with specified columns, data types, and constraints.

How it is used
Builds database tables for a CRUD application by defining their schemas before inserting or querying data.
How deep it goes
Defines columns, data types, primary keys, foreign keys, defaults, and length limits, then verifies creation with \dt.
Examples
Uses users and haikus tables, VARCHAR fields, generated identifiers, timestamps, sample rows, and psql table listings.
What you can do after
Operate PostgreSQL through psql to create tables and verify that the resulting relations exist.

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AI for Everyday IT

CREATE TABLE is a SQL statement that creates a table and defines its columns, data types, and constraints.

How it is used
Uses AI prompting to design database tables and generate SQL Server CREATE TABLE statements from workplace requirements.
How deep it goes
Explains purpose and prompt design through examples, but does not develop CREATE TABLE syntax or constraint semantics in depth.
Examples
Uses a user-login table, Oracle-to-SQL Server conversions, spreadsheet column lists, and service-request data as concrete examples.
What you can do after
Builds a draft table definition by describing requirements clearly and requesting a CREATE TABLE statement from an AI assistant.

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Learn SQL in a Month of Lunches

A CREATE TABLE statement is an SQL statement that creates a new database table with specified columns and constraints.

How it is used
Creates a new named table by defining its columns and data types before data is inserted.
How deep it goes
Explains names, data types, commas, parentheses, and primary keys, while deferring additional table properties.
Examples
Uses category, authorpayment, and orderitem examples to demonstrate basic definitions, script review, and composite keys.
What you can do after
Builds a table from scratch and defines a named primary key for uniquely identifiable rows.

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Grokking Relational Database Design

CREATE TABLE is an SQL statement that defines a new relational table and its columns and constraints.

How it is used
Defines tables before inserting and managing relational data.
How deep it goes
Explains general syntax, column data types, constraints, and duplicate-table errors, but defers altering and deleting tables.
Examples
Uses a product table with five columns and prepared scripts containing sample product data.
What you can do after
Builds a product table from scratch and avoids rerunning its definition when the table already exists.

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Just Use Postgres!

The CREATE TABLE command is an SQL statement that creates a relational table with a specified schema.

How it is used
Creates application tables and establishes the structure needed for loading or querying data.
How deep it goes
Defines a runnable table with typed columns and demonstrates inspection, but leaves higher-level schemas and databases as separate abstractions.
Examples
Uses a trades table with identifiers, stock symbols, quantities, prices, and timestamps.
What you can do after
Build it from scratch by defining a typed table, checking it with \d, and preparing it for generated sample rows.

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ScyllaDB in Action

A CREATE TABLE statement is a CQL schema-definition command that creates a table with columns and keys.

How it is used
Translates restaurant-review requirements and query-oriented designs into executable ScyllaDB table definitions.
How deep it goes
Explains columns, types, primary keys, partitions, and clustering order through complete tables, without covering later reads or writes in detail.
Examples
Uses articles, authors, and summary tables organized by author, date bucket, and score.
What you can do after
Build tables from an application design using runnable CQL in cqlsh.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.