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Developing Modern Database Applications with PostgreSQL

Developing Modern Database Applications with PostgreSQL

By : Le, Diaz
3.8 (8)
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Developing Modern Database Applications with PostgreSQL

Developing Modern Database Applications with PostgreSQL

3.8 (8)
By: Le, Diaz

Overview of this book

PostgreSQL is an open-source object-relational database management system (DBMS) that provides enterprise-level services, including high performance and scalability. This book is a collection of unique projects providing you with a wealth of information relating to administering, monitoring, and testing PostgreSQL. The focus of each project is on both the development and the administrative aspects of PostgreSQL. Starting by exploring development aspects such as database design and its implementation, you’ll then cover PostgreSQL administration by understanding PostgreSQL architecture, PostgreSQL performance, and high-availability clusters. Various PostgreSQL projects are explained through current technologies such as DevOps and cloud platforms using programming languages like Python and Node.js. Later, you’ll get to grips with the well-known database API tool, PostgREST, before learning how to use popular PostgreSQL database testing frameworks. The book is also packed with essential tips and tricks and common patterns for working seamlessly in a production environment. All the chapters will be explained with the help of a real-world case study on a small banking application for managing ATM locations in a city. By the end of this DBMS book, you’ll be proficient in building reliable database solutions as per your organization's needs.
Table of Contents (17 chapters)
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1
Section 1 - Introducing PostgreSQL Development and Administration
3
Section 2 - Development in PostgreSQL
9
Section 3 - Administration in PostgreSQL

PostgreSQL process types

PostgreSQL has four types of processes: 

  • The postmaster process: The postmaster process is the first process to begin when you start PostgreSQL. It performs recovery, initializes shared memory, and runs background processes. It also creates a backend process when there is a connection request from the client process.
  • The background process: The list of background processes required for PostgreSQL operations can be found in the following table:
Process Role
Logger This writes the error message to the log file.
Checkpointer When a checkpoint occurs, the dirty data inside the shared buffer is written to the file.
Writer This periodically writes the dirty buffer to a file.
Wal writer This writes the WAL buffer to the WAL file.
Autovacuum launcher

This launches a new worker process and carries out vacuum operations on bloated tables.

Archiver When in Archive.log mode, this copies the WAL file to the specified directory.
Stats collector This collects DBMS usage statistics such as session execution information (pg_stat_activity) and table usage statistical information (pg_stat_all_tables).

Table 1.1 – The background processes of PostgreSQL

  • The backend process: The backend process performs the query request of the user process and then transmits the result. Some memory structures are required for query execution; this is called local memory.
  • The client process: The client process refers to the background process that is assigned for every backend user connection. Usually, the postmaster process will fork a child process that is dedicated to serving a user connection.
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