Learning PostgreSQL 10 : a beginner's guide to building high-performance PostgreSQL database solution / Salahaldin Juba, Andrey Volkov.

Format:

Book

Author/Creator:

Juba, Salahaldin, author.

Volkov, Andrey, author.

Language:

English

Subjects (All):

PostgreSQL.

Database management.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

Second edition.

Other Title:

Beginner's guide to building high-performance PostgreSQL database solutions

Learning PostgreSQL ten

Place of Publication:

Birmingham, England ; Mumbai, [India] : Packt, 2017.

System Details:

text file

Summary:

Leverage the power of PostgreSQL 10 to build powerful database and data warehousing applications. About This Book Be introduced to the concept of relational databases and PostgreSQL, one of the fastest growing open source databases in the world Learn client-side and server-side programming in PostgreSQL, and how to administer PostgreSQL databases Discover tips on implementing efficient database solutions with PostgreSQL 10 Who This Book Is For If you're interested in learning more about PostgreSQL - one of the most popular relational databases in the world, then this book is for you. Those looking to build solid database or data warehousing applications with PostgreSQL 10 will also find this book a useful resource. No prior knowledge of database programming or administration is required to get started with this book. What You Will Learn Understand the fundamentals of relational databases, relational algebra, and data modeling Install a PostgreSQL cluster, create a database, and implement your data model Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects Use the Structured Query Language (SQL) to manipulate data in the database Implement business logic on the server side with triggers and stored procedures using PL/pgSQL Make use of advanced data types supported by PostgreSQL 10: Arrays, hstore, JSONB, and others Develop OLAP database solutions using the most recent features of PostgreSQL 10 Connect your Python applications to a PostgreSQL database and work with the data efficiently Test your database code, find bottlenecks, improve performance, and enhance the reliability of the database applications In Detail PostgreSQL is one of the most popular open source databases in the world, and supports the most advanced features included in SQL standards and beyond. This book will familiarize you with the latest new features released in PostgreSQL 10, and get you up and running with building efficient PostgreSQL database solutions from scratch. We’ll start with the concepts of relational databases and their core principles. Then you’ll get a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We’ll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You’ll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, you’ll get t...

Contents:

Cover

Title Page

Copyright

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Table of Contents

Preface

Chapter 1: Relational Databases

Database management systems

A brief history

Database categories

The NoSQL databases

The CAP theorem

NoSQL motivation

Key-value databases

Columnar databases

Document databases

Graph databases

Relational and object relational databases

ACID properties

The SQL language

Relational model concepts

Relation

Tuple

NULL value

Attribute

Constraint

Domain integrity constraint

Entity integrity constraint

Referential integrity constraints

Semantic constraints

Relational algebra

The select and project operations

The rename operation

The set theory operations

The cartesian product operation

Data modeling

Data model perspectives

The entity-relation model

Sample application

Entities, attributes, and keys

Mapping ER to relations

UML class diagrams

Summary

Chapter 2: PostgreSQL in Action

An overview of PostgreSQL

PostgreSQL history

The advantages of PostgreSQL

Business advantages of PostgreSQL

PostgreSQL user advantages

PostgreSQL applications

Success stories

Forks

PostgreSQL architecture

The PostgreSQL community

PostgreSQL capabilities

Replication

Security

Extension

NoSQL capabilities

Foreign data wrappers

Performance

Installing PostgreSQL

Installing PostgreSQL using Advanced Package Tool

Client installation

Server installation

Basic server configuration

Installing PostgreSQL on Windows

The PostgreSQL clients

The psql client

psql advanced settings

PostgreSQL utility tools

Chapter 3: PostgreSQL Basic Building Blocks

Database coding

Database naming conventions.

PostgreSQL identifiers

Documentation

Version control system

Database migration tool

PostgreSQL objects hierarchy

Template databases

User databases

Roles

Tablespace

Template procedural languages

Settings

PostgreSQL high-level object interaction

PostgreSQL database components

Schema

Schema usages

Table

PostgreSQL native data types

Numeric types

Character types

Date and time types

The car web portal database

Chapter 4: PostgreSQL Advanced Building Blocks

Views

View synopsis

View categories

Materialized views

Updatable views

Indexes

Index synopsis

Index selectivity

Index types

Index categories

Best practices on indexes

Functions

PostgreSQL native programming language

Creating a function in the C language

Function usages

Function dependency

PostgreSQL function categories

PostgreSQL anonymous functions

User-defined data types

Triggers and rule systems

Rule system

Trigger system

Triggers with arguments

Triggers and updatable views

Chapter 5: SQL Language

SQL fundamentals

SQL lexical structure

Querying data with SELECT statements

Structure of a SELECT query

Select-list

SQL expressions

DISTINCT

FROM clause

Selecting from multiple tables

Self-joins

The WHERE clause

Comparison operators

Pattern matching

Row and array comparison constructs

Grouping and aggregation

The GROUP BY clause

The HAVING clause

Ordering and limiting the results

Subqueries

Set operations - UNION, EXCEPT, and INTERSECT

Dealing with NULLs

Changing the data in the database

INSERT statement

The UPDATE statement

UPDATE using sub-select

UPDATE using additional tables

The DELETE statement

The TRUNCATE statement

Summary.

Chapter 6: Advanced Query Writing

Common table expressions

Reusing SQL code with CTE

Recursive and hierarchical queries

Changing data in multiple tables at a time

Window functions

Window definition

The WINDOW clause

Using window functions

Window functions with grouping and aggregation

Advanced SQL techniques

Selecting the first records

Selecting a data sample

Set returning functions

Lateral subqueries

Advanced grouping

Advanced aggregation

Chapter 7: Server-Side Programming with PL/pgSQL

SQL language and PL/pgSQL - a comparison

PostgreSQL function parameters

Function authorization-related parameters

Function planner-related parameters

Function configuration-related parameters

The PostgreSQL PL/pgSQL control statements

Declaration statements

Assignment statements

Conditional statements

Iteration

Loop statement

While loop statement

For loop statement

Returning from the function

Returning void

Returning a single row

Returning multiple rows

Function predefined variables

Exception handling

Dynamic SQL

Executing DDL statements in dynamic SQL

Executing DML statements in dynamic SQL

Dynamic SQL and the caching effect

Recommended practices for dynamic SQL usage

Chapter 8: OLAP and Data Warehousing

Online analytical processing

Extract, transform, and load

Data modeling for OLAP

Aggregation

Partitioning

Parallel query

Index-only scans

Chapter 9: Beyond Conventional Data Types

Arrays

Common functions of arrays and their operators

Modifying and accessing arrays

Indexing arrays

The hash store data structure

Indexing an hstore

The JSON data structure

JSON and XML

JSON data types for PostgreSQL

Modifying and accessing JSON types

Indexing a JSON data type.

Providing a RESTful API interface for PostgreSQL

A PostgreSQL full text search

The tsquery and tsvector data types

The tsvector data type

The tsquery data type

Full text search indexing

Chapter 10: Transactions and Concurrency Control

Transactions

Transaction and ACID properties

Transaction and concurrency

MVCC in PostgreSQL

Transaction isolation levels

Explicit locking

Table-level locks

Table locking modes

Row-level locks

Row-level lock modes

Deadlocks

Advisory locks

Chapter 11: PostgreSQL Security

Authentication in PostgreSQL

PostgreSQL pg_hba.conf

Listen addresses

Authentication best practices

PostgreSQL default access privileges

Role system and proxy authentication

PostgreSQL security levels

Database security level

Schema security level

Table-level security

Column-level security

Row-level security

Encrypting data

PostgreSQL role password encryption

pgcrypto

One-way encryption

Two-way encryption

Chapter 12: The PostgreSQL Catalog

The system catalog

System catalog for administrators

Getting the database cluster and client tools version

Terminating and canceling user sessions

Defining and getting database cluster settings

Getting the database and database object size

Cleaning up the database

Cleaning up the database data

Tuning for performance

Selective dump

Chapter 13: Optimizing Database Performance

PostgreSQL configuration tuning

Maximum number of connections

Memory settings

Hard disk settings

Planner-related settings

Bench marking is your friend

Tuning performance for write

Tuning performance for read

Explain command and execution plan

Detecting problems in query plans

Common mistakes in writing queries.

Unnecessary operations

Misplaced or missing indexes

Using CTE when not mandatory

Using the PL/pgSQL procedural language consideration

Cross column correlation

Table partitioning

Constraint exclusion limitations

Query rewriting

Chapter 14: Testing

Unit testing

Specificity of unit testing in databases

Unit test frameworks

Schema difference

Database abstraction interfaces

Data difference

Performance testing

Chapter 15: Using PostgreSQL in Python Applications

Python DB API 2.0

Low-level database access with psycopg2

Connecting to a database

Connection pooling

Executing SQL commands

Reading data from a database

The COPY command

Asynchronous access

Alternative drivers for PostgreSQL

pg8000

asyncpg

Object relational mapping with SQLAlchemy

Main components of SQLAlchemy

Connecting to a database and retrieving data with SQL Expression Language

ORM

Chapter 16: Scalability

The problem of scalability and the CAP theorem

Data replication in PostgreSQL

Transaction log

Physical replication

Log shipping replication

Streaming replication

Synchronous replication

Logical replication

Using replication to scale PostgreSQL

Scaling for heavy querying

Data sharding

Scaling for big number of connections

Index.

Notes:

Includes index.

Description based on online resource; title from PDF title page (EBC, viewed January 4, 2018).

ISBN:

9781788470667

1788470664

OCLC:

1019827282