Learning PostgreSQL by Salahaldin Juba, Achim Vannahme, Andrey Volkov

By Salahaldin Juba, Achim Vannahme, Andrey Volkov

Create, enhance and deal with relational databases in actual global functions utilizing PostgreSQL

About This Book

  • Learn concerning the PostgreSQL improvement lifestyles cycle together with its trying out and refactoring
  • Build effective database recommendations and use them in Java applications
  • A entire consultant to profit approximately SQL, PostgreSQL procedural language and PL/pgSQL

Who This e-book Is For

If you're a pupil, database developer or an administrator, drawn to constructing and protecting a PostgreSQL database, then this e-book is for you. No wisdom of database programming or management is necessary.

What you'll Learn

  • Learn strategies of information modelling and relation algebra
  • Install and organize PostgreSQL database server and customer software
  • Implement info buildings in PostgreSQL
  • Manipulate information within the database utilizing SQL
  • Implement information processing common sense within the database with saved services, triggers and views
  • Test database options and determine the performance
  • Integrate database with Java applications
  • Detailed wisdom of the most PostgreSQL construction items, such a lot used extensions
  • Practice database improvement existence cycle together with research, modelling, (documentation), checking out, malicious program fixes and refactoring

In Detail

PostgreSQL is among the strongest and straightforward to take advantage of database administration platforms. It has powerful aid from the neighborhood and is being actively built with a brand new liberate each year. PostgreSQL helps the main complicated beneficial properties integrated in SQL criteria. additionally it presents NoSQL functions, and extremely wealthy facts forms and extensions. All that makes PostgreSQL a really beautiful resolution in several types of software program systems.

The e-book begins with the creation of relational databases with PostegreSQL. It then strikes directly to masking info definition language (DDL) with emphasis on PostgreSQL and customary DDL instructions supported by way of ANSI SQL. you'll then research the information manipulation language (DML), and complex issues like locking and multi model concurrency keep watch over (MVCC). this can provide you with a really powerful historical past to music and troubleshoot your program. The e-book then covers the implementation of knowledge types within the database corresponding to developing tables, establishing integrity constraints, development indexes, defining perspectives and different schema items. subsequent, it's going to offer you an summary concerning the NoSQL functions of PostgreSQL in addition to Hstore, XML, Json and arrays. ultimately through the top of the publication, you will learn how to use the JDBC motive force and control information items within the Hibernate framework.

Style and approach

An easy-to-follow consultant to profit programming construct functions with PostgreSQL, and deal with a PostgreSQL database instance.

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Extra info for Learning PostgreSQL

Example text

It is mainly designed for OLAP applications. [ 35 ] PostgreSQL in Action PostgreSQL architecture PostgreSQL uses the client/server model, where the client and server programs can be on different hosts. The communication between the client and server is normally done via TCP/IP protocols or via Linux sockets. PostgreSQL can handle multiple connections from a client. A common PostgreSQL program consists of the following operating system processes: • Client process or program (frontend): The database frontend application performs a database action.

It is based on taking a snapshot of the master node, and then shipping the changes—the WAL files—from the master node to the slave node and replaying them on the slave. The master can be used for read/write operations, and the slave can be used to serve read requests. Streaming replication is relatively easy to set up and configure; it can support synchronous and asynchronous replications as well as cascading replication. In synchronous replication, a data modifying operation must be committed on all servers in order to be considered successful.

This could be modeled by utilizing complex data types like JSON, or by using vertical modeling like entity-attribute-value (EAV). • Tight coupling: In some cases, tight coupling leads to complex and difficultto-change data structures. Since business requirements change with time, some requirements might become obsolete. Modeling generalization and specialization (for example a part-time student is a student) in a tightly coupled way may cause problems. Sample application In order to explain the basics of the ER model, an online web portal to buy and sell cars will be modeled.

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