- What are the advantages and disadvantages of using rich data types? Consider the following comparison criteria: data consistency and sanity checks, performance, flexibility, and lack of requirements.
- What's the difference between the JSON and JSONB data types?
- What functions can be used to convert a row into JSON?
- Hstore, JSON, and JSONB are candidates for storing a document in PostgreSQL. Which data type should be considered the default choice and why?
- How can you sort and apply an aggregate function to an array?
- In PostgreSQL, what's the equivalent of the IN set operator? Rewrite the WHERE model IN ('Ford', 'VW') expression using arrays.
- Give a business use case for text search.
- Explain the difference between plainto_tsquery and to_tsquery using examples.
- Why is GIN preferable for indexing ts_vector?
Learning PostgreSQL 11 - Third Edition
By :
Learning PostgreSQL 11 - Third Edition
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Overview of this book
PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch.
Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance.
By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
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Current Title:
Learning PostgreSQL 11 - Third Edition
Table of Contents (18 chapters)
Free Chapter
Relational Databases
PostgreSQL in Action
PostgreSQL Basic Building Blocks
PostgreSQL Advanced Building Blocks
SQL Language
Advanced Query Writing
Server-Side Programming with PL/pgSQL
OLAP and Data Warehousing
Beyond Conventional Data Types
Transactions and Concurrency Control
PostgreSQL Security
The PostgreSQL Catalog
Optimizing Database Performance
Testing
Using PostgreSQL in Python Applications
Scalability
What's Next?
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