PostgreSQL High Performance Cookbook by Dinesh Kumar

Key FeaturesPerform essential database tasks such as benchmarking the database and optimizing the servers memory usageLearn ways to improve query performance and optimize the PostgreSQL serverExplore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databasesBook DescriptionPostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems.If you run a database, you want it to perform well and you want to be able to secure it. As the worlds most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your databases performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance.This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, youll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms.What you will learnBuild replication strategies for homogeneous and heterogeneous databasesTest and build a powerful machine with multiple bench marking techniquesGet to know a few SQL injection techniquesFind out how to manage the replication using multiple toolsBenchmark the database server using multiple strategiesWork with the query processing algorithms and their internal behaviorsBuild a proper plan to upgrade or migrate to PostgreSQL from other databasesSee the essential database load balancing techniques and the various partitioning approaches PostgreSQL providesLearn memory optimization techniques and database server configurationsAbout the AuthorChitij Chauhan currently works as a senior database administrator at an IT-based MNC in Chandigarh. He has over 10 years of work experience in the field of database and system administration, with specialization in MySQL clustering, PostgreSQL, Greenplum, Informix DB2, SQL Server 2008, Sybase, and Oracle. He is a leading expert in the area of database security, with expertise in database security products such as IBM InfoSphere Guardium, Oracle Database Vault, and Imperva.Dinesh Kumar is an enthusiastic open source developer and has written several open source tools for PostgreSQL. He recently announced pgBucket, a brand new job scheduler for PostgreSQL. He is also a frequent blogger at manojadinesh.blogpsot.com, where he talks more about PostgreSQL. He is currently working as a senior database engineer in OpenSCG and building the PostgreSQL cloud operations. He has more than 6 years of experience as an Oracle and PostgreSQL database administrator and developer, and is currently focusing on PostgreSQL.Table of ContentsDatabase BenchmarkingServer Configuration and ControlDevice OptimizationMonitoring Server PerformanceConnection Pooling and Database PartitioningHigh Availability and ReplicationWorking with Third-Party Replication Management UtilitiesDatabase Monitoring and PerformanceVacuum InternalsData Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL ClusterQuery OptimizationDatabase Indexing