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PostgreSQL 10 High Performance

PostgreSQL 10 High Performance

By : Enrico Pirozzi
2.5 (2)
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PostgreSQL 10 High Performance

PostgreSQL 10 High Performance

2.5 (2)
By: Enrico Pirozzi

Overview of this book

PostgreSQL database servers have a common set of problems that they encounter as their usage gets heavier and requirements get more demanding. Peek into the future of your PostgreSQL 10 database's problems today. Know the warning signs to look for and how to avoid the most common issues before they even happen. Surprisingly, most PostgreSQL database applications evolve in the same way—choose the right hardware, tune the operating system and server memory use, optimize queries against the database and CPUs with the right indexes, and monitor every layer, from hardware to queries, using tools from inside and outside PostgreSQL. Also, using monitoring insight, PostgreSQL database applications continuously rework the design and configuration. On reaching the limits of a single server, they break things up; connection pooling, caching, partitioning, replication, and parallel queries can all help handle increasing database workloads. By the end of this book, you will have all the knowledge you need to design, run, and manage your PostgreSQL solution while ensuring high performance and high availability
Table of Contents (23 chapters)
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Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

SQL limitations


SQL is good at a number of things. There are some things it's known to be quite bad at, most of which result from returned rows having no knowledge of one another.

Numbering rows in SQL

Let's say you wanted to know who your top five customers are. That's an easy enough query to write:

SELECT customerid,sum(netamount) as sales FROM orders GROUP BY customerid ORDER BY sales DESC LIMIT 5; customerid |  sales  ------------+---------      15483 | 1533.76       9315 | 1419.19      15463 | 1274.29      10899 | 1243.14       3929 | 1196.87

Here's a challenge for you: how would you write this query to also include that sales ranking for each customer, from 1 to 5, as part of this list? It's not a simple problem.

One of the subtle things about SQL queries is that each row is its own independent piece. It doesn't have any notion of how many other rows exist in the result set, where it stands in relation to the others; it's just a row of data. There are a couple of ways to solve this problem...

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