- Mastering PostgreSQL 9.6
- Hans Jurgen Schonig
- 164字
- 2021-07-09 19:57:25
Understanding hypothetical aggregates
Hypothetical aggregates are pretty similar to standard ordered sets. However, they help to answer a different kind of question: what would be the result if a value was there? As you can see, this is not about values inside the database but about the result, if a certain value was actually there.
The only hypothetical function provided by PostgreSQL is rank. It tells us:
test=# SELECT region,
rank(9000) WITHIN GROUP
(ORDER BY production DESC NULLS LAST)
FROM t_oil
GROUP BY ROLLUP (1);
region | rank
---------------+------
Middle East | 21
North America | 27
| 47
(3 rows)
If somebody produced 9000 barrels per day, it would be the 27 best year in North America and 21 in the Middle East.
Note that in my example, I used NULLS LAST. When data is sorted, nulls are usually at the end. However, if sort order is reversed, nulls should still be at the end of the list. NULLS LAST ensures exactly that.
推薦閱讀
- Oracle SOA Governance 11g Implementation
- Introduction to DevOps with Kubernetes
- Practical Ansible 2
- 空間機器人遙操作系統(tǒng)及控制
- 深度學習中的圖像分類與對抗技術(shù)
- iClone 4.31 3D Animation Beginner's Guide
- CompTIA Network+ Certification Guide
- Linux Shell編程從初學到精通
- Flink原理與實踐
- 網(wǎng)絡(luò)脆弱性掃描產(chǎn)品原理及應(yīng)用
- Windows安全指南
- 手把手教你學Flash CS3
- Instant Slic3r
- 網(wǎng)站規(guī)劃與網(wǎng)頁設(shè)計
- 系統(tǒng)建模與控制導論