- Learning Apache Cassandra(Second Edition)
- Sandeep Yarabarla
- 143字
- 2021-07-03 00:19:24
Rich and flexible data model
Cassandra provides an SQL-like syntax to interact with the database. Cassandra Query Language (CQL) presents a familiar row column representation of data. CQL provides a familiar SQL-like table definition with columns and defined data types. Schema is flexible, and new columns can be added while using the existing data. The data model doesn't support features problematic in distributed systems such as joins. On top of this, Cassandra provides other features such as collections to store multiple items in a single column. It also lets you easily define secondary indexes and materialized views for fast lookups on non-primary key columns.
The previous thrift-based interface was closely tied to the internal storage view. This was fairly complex and had a relatively high learning curve to adopt. The CQL interface is much easier to understand because of its similarity to SQL.
- Splunk 7 Essentials(Third Edition)
- 大數據項目管理:從規劃到實現
- Linux Mint System Administrator’s Beginner's Guide
- 程序設計缺陷分析與實踐
- Learning Apache Cassandra(Second Edition)
- PostgreSQL Administration Essentials
- 自動生產線的拆裝與調試
- AI 3.0
- 人工智能趣味入門:光環板程序設計
- Troubleshooting OpenVPN
- MCGS嵌入版組態軟件應用教程
- 人工智能:語言智能處理
- 電子設備及系統人機工程設計(第2版)
- 所羅門的密碼
- 天才與算法:人腦與AI的數學思維