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PostgreSQL High Performance Cookbook

更新時間：2021-07-09 18:47:42

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IfyouareadeveloperoradministratorwithlimitedPostgreSQLknowledgeandwanttodevelopyourskillswiththisgreatopensourcedatabase,thenthisbookisidealforyou.Learninghowtoenhancethedatabaseperformanceisalwaysanexcitingtopictoeveryone,andthisbookwillshowyouenoughwaystoenhancethedatabaseperformance.

目錄(135章)

倒序

封面
版權信息
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Chapter 1. Database Benchmarking
Introduction
CPU benchmarking
Memory benchmarking
Disk benchmarking
Performing a seek rate test
Working with the fsync commit rate
Checking IOPS
Storage sizing
Discussing RAID levels
Configuring pgbench
Running read/write pgbench test cases
Chapter 2. Server Configuration and Control
Introduction
Starting the server manually
Stopping the server quickly
Stopping the server in an emergency
Reloading server configuration
Restarting the database server quickly
Tuning connection-related parameters
Tuning query-related parameters
Tuning logging-related parameters
Chapter 3. Device Optimization
Introduction
Understanding memory units in PostgreSQL
Handling Linux/Unix memory parameters
CPU scheduling parameters
Disk tuning parameters
Identifying checkpoint overhead
Analyzing buffer cache contents
Chapter 4. Monitoring Server Performance
Introduction
Monitoring CPU usage
Monitoring paging and swapping
Tracking CPU consuming processes
Monitoring CPU load
Identifying CPU bottlenecks
Identifying disk I/O bottlenecks
Monitoring system load
Tracking historical CPU usage
Tracking historical memory usage
Monitoring disk space
Monitoring network status
Chapter 5. Connection Pooling and Database Partitioning
Introduction
Installing pgpool-II
Configuring pgpool and testing the setup
Installing PgBouncer
Connection pooling using PgBouncer
Managing PgBouncer
Implementing partitioning
Managing partitions
Installing PL/Proxy
Partitioning with PL/Proxy
Chapter 6. High Availability and Replication
Introduction
Setting up hot streaming replication
Replication using Slony
Replication using Londiste
Replication using Bucardo
Replication using DRBD
Setting up a Postgres-XL cluster
Chapter 7. Working with Third-Party Replication Management Utilities
Introduction
Setting up Barman
Backup and recovery using Barman
Setting up OmniPITR
WAL management with OmniPITR
Setting up repmgr
Using repmgr to create replica
Setting up walctl
Using walctl to create replica
Chapter 8. Database Monitoring and Performance
Introduction
Checking active sessions
Finding out what the users are currently running
Finding blocked sessions
Dealing with deadlocks
Table access statistics
Logging slow statements
Determining disk usage
Preventing page corruption
Routine reindexing
Generating planner statistics
Tuning with background writer statistics
Chapter 9. Vacuum Internals
Introduction
Dealing with bloating tables and indexes
Vacuum and autovacuum
Freezing and transaction ID wraparound
Monitoring vacuum progress
Control bloat using transaction age
Chapter 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster
Introduction
Using pg_dump to upgrade data
Using the pg_upgrade utility for version upgrade
Replicating data from other databases to PostgreSQL using Goldengate
Chapter 11. Query Optimization
Introduction
Using sample data sets
Timing overhead
Studying hot and cold cache behavior
Clearing the cache
Query plan node structure
Generating an explain plan
Computing basic cost
Running sequential scans
Running bitmap heap and index scan
Aggregate and hash aggregate
Running CTE scan
Nesting loops
Working with hash and merge join
Grouping
Working with set operations
Working on semi and anti joins
Chapter 12. Database Indexing
Introduction
Measuring query and index block statistics
Index lookup
Comparing indexed scans and sequential scans
Clustering against an index
Concurrent indexes
Combined indexes
Partial indexes
Finding unused indexes
Forcing a query to use an index
Detecting a missing index 更新時間：2021-07-09 18:47:42

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PostgreSQL High Performance Cookbook