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

【One-Line Pitch】 A practical recipe collection for PostgreSQL 15 administrators who want hands-on procedures for cloud provisioning, migration, replication, partitioning, sharding, WAL management, and debugging. Best suited to DBAs and backend engineers already comfortable with SQL and Linux who need operational answers rather than theory. 【Book Arc】 - **Opening (~0%–13%)**: Sets up PostgreSQL 15 and the sample "adventureworks" database, covering installation, minor/major upgrades, basic operations, indexing types (hash, GiST, SP-GiST), log directory preparation, and temporary tables. - **Early (~13%–33%)**: Moves into cloud provisioning and migration — launching EC2/RDS instances, connecting clients, installing PgBouncer for connection pooling, enabling RDS backups and read replicas, and using pglogical for bi-directional replication. - **Early–Middle (~33%–46%)**: Covers migration tooling (pg_dump, AWS DMS, pgloader, Foreign Data Wrappers from MySQL) and then WAL, archiving, and AutoVacuum — enabling archive mode, tuning WAL parameters, estimating transaction log size, and debugging autovacuum. - **Middle (~46%–54%)**: Shifts to scalability structures — declarative range partitioning, inheritance-based partitioning, and sharding concepts including shard maps and Citus-based shard repair. - **Late (excerpts do not cover)**: The table of contents points to replication, Patroni/HAProxy high availability, pgBackRest backup/recovery, pgAudit, Prometheus monitoring, and debugging chapters, but the provided excerpts do not detail these. - **Ending (excerpts do not cover)**: The final debugging chapter (benchmarking with pgbench, responding to error messages) is listed in the contents but not covered in the excerpts. 【Key Takeaways】 - **Upgrades differ by scope** (Opening): Minor releases involve swapping binaries and restarting; major releases require more care. The book gives concrete command sequences rather than abstract advice. - **Cloud provisioning is treated as a first-class DBA task** (Early): Recipes walk through EC2 setup, security groups, key pairs, and connecting to RDS via psql — useful for admins moving on-prem workloads to AWS. - **Connection pooling matters for performance** (Early): PgBouncer installation and configuration on EC2 is presented as a standard step, reflecting how connection reuse affects throughput. - **Migration is multi-tool** (Early–Middle): pg_dump, AWS DMS, pgloader, and FDW each get recipes, showing that the right tool depends on source (EC2, MySQL) and target (RDS, PostgreSQL). - **WAL and archiving are core to durability** (Middle): Enabling archive mode, tuning wal_level, min_wal_size, and synchronous_commit, plus estimating log size, are framed as essential durability and availability controls. - **Partitioning and sharding are the scalability levers** (Middle): Range partitioning, inheritance-based partitioning, and shard maps with Citus are presented as practical ways to distribute data. - **Autovacuum tuning is a debugging exercise** (Middle): Adjusting autovacuum_vacuum_scale_factor and monitoring archiver status are shown as routine maintenance. - **A single sample database anchors every recipe** (throughout): The "adventureworks" database is reused so readers can follow along end-to-end. 【Reading Tips】 - **Skim the setup chapter if you already run PostgreSQL 15** — jump to the cloud provisioning and migration recipes where the operational value is highest. - **Deep-read the WAL, archiving, and AutoVacuum sections** — these parameters (synchronous_commit, min_wal_size, archive_mode) have real durability and performance trade-offs worth understanding before changing. - **Treat partitioning and sharding as design decisions, not just commands** — the recipes show syntax, but choosing a sharding key or partition strategy requires understanding your query patterns. - **Have a test environment ready** — most recipes involve service restarts, config file edits, and cloud resources; practicing on a throwaway instance avoids production risk. - **Use the table of contents as a map for topics the excerpts skip** — replication, Patroni, pgBackRest, pgAudit, and Prometheus are listed but not detailed here, so consult those chapters directly. 【Coverage Limits】 This guide is based on stratified excerpts covering roughly the first half of the book (setup through sharding). Later chapters on replication, high availability, backup/recovery, auditing, monitoring, and debugging are listed in the table of contents but not covered in the excerpts, so this guide cannot assess their depth or quality.