After you connect to an Amazon Keyspaces endpoint, you use Cassandra Query Language (CQL) to work with your database. CQL is similar in many ways to Structured Query Language (SQL).
CQL elements – This section covers the fundamental elements of CQL supported in Amazon Keyspaces, including identifiers, constants, terms, and data types. It explains concepts like string types, numeric types, collection types, and more.
Data Definition Language (DDL) – DDL statements are used to manage data structures like keyspaces and tables in Amazon Keyspaces. This section covers statements for creating, altering, and dropping keyspaces and tables, as well as restoring tables from a point-in-time backup.
Data Manipulation Language (DML) – DML statements are used to manage data within tables. This section covers statements for selecting, inserting, updating, and deleting data. It also explains advanced querying capabilities like using the
INoperator, ordering results, and pagination.Built-in functions – Amazon Keyspaces supports a variety of built-in scalar functions that you can use in CQL statements. This section provides an overview of these functions, including examples of their usage.
Throughout this topic, you'll find detailed syntax, examples, and best practices for using CQL effectively in Amazon Keyspaces.
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