PostgreSQL 15 Cookbook 100+ expert solutions across scalability, performance optimization, essential commands (Peter G) (Z-Library)

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PostgreSQL 15 Cookbook 100+ expert solutions across scalability, performance optimization, essential commands, cloud provisioning, backup, and recovery Peter G Copyright © 2023 GitforGits All rights reserved.

Content Preface Chapter 1: GETTING POSTGRESQL 15 READY Recipe#1: Simplifying Understanding of PostgreSQL Architecture Recipe#2: Installing PostgreSQL 15 from Binaries Recipe#3: Installing PostgreSQL 15 from Source Code Recipe#4: Upgrade to Minor & Major Releases Recipe#5: Parsing Database Start-up Logs Recipe#6: Using PostgreSQL Server Access Solutions Recipe#7: Discovering PostgreSQL Database Structural Objects Recipe#8: Understanding PostgreSQL Memory Configuration Recipe#9: Understanding Use of Key Configuration Parameters Chapter 2: Performing Basic PostgreSQL Operations

Recipe#1: Understanding AdventureWorks Database in this Book Recipe#2: Selecting Right Database Schema Recipe#3: Selecting Indexing Techniques Recipe#4: Building Concurrent Index Recipe#5: Prepare Database Log Directory Recipe#6: Using PostgreSQL TOAST Recipe#7: Create and Administer PostgreSQL Temporary Table Recipe#8: Using SELECT in WITH Queries Recipe#9: Running Recursive Query Recipe#10: Writing Common Table Expression (CTE) Chapter 3: PostgreSQL Cloud Provisioning Recipe#1: Create PostgreSQL Cloud Instance and Manage Database Connection with AWS EC2 and RDS Recipe#2: Native Backup/Restore with AWS EC2 Instance

Recipe#3: Natively Backup/Restore with AWS RDS Instance Recipe#4: Manage Connection to Database on AWS Recipe#5: Perform Replication of Database on AWS Recipe#6: Run PostgreSQL Bi-directional Replication using pglogical Chapter 4: Database Migration to Cloud and PostgreSQL Recipe#1: Migrating from On-premise to AWS EC2/RDS Instance Recipe#2: Utilizing AWS Data Migration Service (DMS) Recipe#3: Migrating Database from EC2 to RDS Instance Recipe#4: Preparing Pgloader to Use with Database Recipe#5: Migrating from MySQL to PostgreSQL Recipe#6: Setting Up Foreign Data Wrapper (FDW) Chapter 5: WAL, AutoVacuum & ArchiveLog Recipe#1: Enable and Disable Archive Mode Recipe#2: WAL Compression Option for Space Management

Recipe#3: Configure WAL Performance Parameter Recipe#4: Administer Continuous Archiving Recipe#5: Using Remote WAL Archive Options Recipe#6: Exploring Vacuum Process Recipe#7: Estimate Transaction Log Size Recipe#8: Debug PostgreSQL Autovaccum Recipe#9: Delete PostgreSQL Archive Logs Chapter 6: Partitioning and Sharding Strategies Recipe#1: Setup Partitioning in PostgreSQL 15 Recipe#2: Vertical & Horizontal Partitioning Recipe#3: Perform Attaching, Detaching and Drop Partition Recipe#4: Tables Partitioning using Table Inheritance Recipe#5: Implement Automatic Partition Recipe#6: Partition Pruning

Recipe#7: Run Declarative Partition Recipe#8: Administer Performance with Table Partitioning Recipe#9: Setting up Shard with FWD Recipe#10: Configure Sharding with Citusdata Recipe#11: Repair Shards Chapter 7: Solving Replication, Scalability & High Availability Recipe#1: Using Master-Slave Replication Recipe#2: Setup Delay Standby Recipe#3: Install and Configure ‘repmgr’ Recipe#4: Cloning Database with ‘repmgr’ Recipe#5: Perform PITR Recovery using Delay Standby Recipe#6: Deploy High Availability Cluster with Patroni Recipe#7: Using HAProxy and PgBouncer for High Availability Recipe#8: Perform Database Upgrade on Replication Cluster

Chapter 8: Blob, JSON Query, CAST Operator & Connections Recipe#1: Perform Querying Recipe#2: Import BLOB Data Types Recipe#3: Running Queries using Shell Script Recipe#4: Working with Postgres JSON Query Recipe#5: Working with Postgres CAST Operator Recipe#6: Assuring Database Consistency and Integrity Chapter 9: Authentication, Audit & Encryption Recipe#1: Manage Roles, Membership, Attributes, Authentication and Authorizations Recipe#2: Setting Up SSL Authentication Recipe#3: Configure Encryption Recipe#4: Install and Configure pgAudit Recipe#5: Using Audit Log with PostgreSQL Trigger

Recipe#6: Using log_statement/Audit Trail Recipe#7: Install and Configure LDAP Authentication Chapter 10: Implementing Database Backup Strategies Recipe#1: Automate Database Backup Recipe#2: Execute Continuous Archiving PostgreSQL Backup Recipe#3: Working with ‘pg_probackup’ and ‘pgBackRest’ Recipe#4: Install and Configure Barman Recipe#5: Perform Incremental/Differential Backup Recipe#6: Execute Schema Level Backup Recipe#7: Perform Backup Monitoring using pg_stat_activity Chapter 11: Exploring database Recovery & Restoration Methods Recipe#1: Perform Full and PITR Recovery Recipe#2: Restore Database using Barman Recipe#3: Perform Incremental/Differential Restore

Recipe#4: Working with Tablespace Recovery Recipe#5: Working with Tables Recovery Recipe#6: Working with Schema Level Restore Recipe#7: Monitor Restore Operations Recipe#8: Working with Recovery Mode Recipe#9: Working with Recovery Target Options Chapter 12: Prometheus & Continuous Monitoring Recipe#1: Installing and Configuring Prometheus Recipe#2: Real-time Monitoring using Prometheus Recipe#3: Using Statistic Collector and Analyzer Recipe#4: Using Prometheus to Monitor Active Session Recipe#5: Parse Query String Recipe#6: Use Database Connection Pooling

Recipe#7: Vacuum amd Bloat Recipe#8: Using ‘fsync’ Chapter 13: Debugging PostgreSQL Recipe#1: Benchmarking and its Importance Recipe#2: Benchmark Performance using PGBench Recipe#3: Responding Error Messages

Preface If you're a PostgreSQL database administrator looking for a comprehensive guide to managing your databases, look no further than the PostgreSQL 15 Cookbook. With 100 ready solutions to common database management challenges, this book provides a complete guide to administering and troubleshooting your databases. Starting with cloud provisioning and migration, the book covers all aspects of database administration, including replication, transaction logs, partitioning, sharding, auditing, realtime monitoring, backup, recovery, and error debugging. Each solution is presented in a clear, easy-to-follow format, using a real database called 'adventureworks' to provide an on-job practicing experience. Throughout the book, you'll learn how to use tools like pglogical, pgloader, WAL, repmgr, Patroni, HAProxy, PgBouncer, pgBackRest, pgAudit and Prometheus, gaining valuable experience and expertise in managing your databases. With its focus on practical solutions and real-world scenarios, the PostgreSQL 15 Cookbook is an essential resource for any PostgreSQL database administrator. Whether you're just starting out or you're a seasoned pro, this book has everything you need to keep your databases running smoothly and efficiently. In this book you will learn how to:

Streamline your PostgreSQL databases with cloud provisioning and migration techniques Optimize performance and scalability through effective replication, partitioning, and sharding Safeguard your databases with robust auditing, backup, and recovery strategies Monitor your databases in real-time with powerful tools like pgAudit, Prometheus, and Patroni Troubleshoot errors and debug your databases with expert techniques and best practices Boost your productivity and efficiency with advanced tools like pglogical, pgloader, and HAProxy. With the PostgreSQL 15 Cookbook as your guide, you'll gain valuable insights and expertise in managing your PostgreSQL databases, while learning practical solutions to common database management challenges. Whether you're a novice or an experienced PostgreSQL administrator, this book has everything you need to take your database management skills to the next level and become a PostgreSQL expert.

GitforGits Prerequisites This book is ideal for database administrators, developers, and IT professionals who are responsible for managing and troubleshooting PostgreSQL databases. It is also suitable for beginners looking to learn more about PostgreSQL administration and best practices. Codes Usage Are you in need of some helpful code examples to assist you in your programming and documentation? Look no further! Our book offers a wealth of supplemental material, including code examples and exercises. Not only is this book here to aid you in getting your job done, but you have our permission to use the example code in your programs and documentation. However, please note that if you are reproducing a significant portion of the code, we do require you to contact us for permission. But don't worry, using several chunks of code from this book in your program or answering a question by citing our book and quoting example code does not require permission. But if you do choose to give credit, an attribution typically includes the title, author, publisher, and ISBN. For example, "PostgreSQL 15 Cookbook by Peter G". If you are unsure whether your intended use of the code examples falls under fair use or the permissions outlined above, please do not hesitate to

reach out to us at We are happy to assist and clarify any concerns.

Acknowledgement I would like to express my deep gratitude to GitforGits, for their unwavering support and guidance throughout the writing of this book. Their expertise and attention to detail helped to ensure that the content was accurate, informative, and accessible to readers of all levels of expertise. Their contributions, from copyediting and design to marketing and promotion, have been invaluable in making this book a success. Finally, I would like to thank my family and friends for their love and support, which has been a constant source of inspiration throughout this journey. Writing this book would not have been possible without their encouragement and encouragement. Thank you all for your contributions to this project, and for your ongoing support of my work.

Chapter 1: GETTING POSTGRESQL 15 READY

Recipe#1: Simplifying Understanding of PostgreSQL Architecture PostgreSQL is a powerful, open-source database management system that is widely used in applications that require efficient and reliable data storage and retrieval. PostgreSQL is an object-relational database management system (ORDBMS), which means that it is designed to store and retrieve data using an object-oriented approach while also supporting the relational database model. The PostgreSQL architecture is built around a client-server model, with the PostgreSQL server process at the center. The server process is responsible for handling all database requests from clients, and it communicates with clients using the PostgreSQL network protocol. Clients can connect to the server process using various methods, including a command-line interface (CLI), graphical user interface (GUI), or application programming interface (API). In addition to the server process, the PostgreSQL architecture includes several auxiliary processes that work together to ensure efficient and reliable data storage and retrieval. These processes include the background writer, the checkpoint process, the autovacuum process, and the write- ahead log (WAL) writer process. The background writer is responsible for writing modified data from memory to disk, while the checkpoint process ensures that the data on disk is consistent with the current state of the database. The autovacuum process is responsible for cleaning up dead rows in the database, and the WAL writer process is responsible for managing transaction logs.

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