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PostgreSQL for Data Architects

By : Jayadevan M

5 (2)

PostgreSQL for Data Architects

5 (2)

By: Jayadevan M

Overview of this book

This book is for developers and data architects who have some exposure to databases. It is assumed that you understand the basic concepts of tables and common database objects, including privileges and security.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Installing PostgreSQL

1. Installing PostgreSQL

Installation options

Dependencies to compile the source

Configuring and creating the makefile

Building and creating the executables

Installing and moving the files to where they belong

Initializing a cluster

Working with extensions

Summary

2. Server Architecture

2. Server Architecture

Starting with the daemon process

Understanding the shared buffer

Checkpoint

WAL and the WAL writer process

The background writer

The autovacuum launcher process

The logging process

The stats collector process

The WAL sender and WAL receiver

Sorting in memory with work_mem

Maintenance with maintenance_work_mem

Summary

3. PostgreSQL – Object Hierarchy and Roles

3. PostgreSQL – Object Hierarchy and Roles

The PostgreSQL cluster

Understanding tablespaces

Databases, schemas, and search_path

Roles and privileges

Summary

4. Working with Transactions

4. Working with Transactions

Understanding transactions

PostgreSQL and MVCC

Summary

5. Data Modeling with SQL Power Architect

5. Data Modeling with SQL Power Architect

Tools for databases and their uses

Database design tools

Generating SQL

Summary

6. Client Tools

6. Client Tools

GUI tools and command-line tools

pgAdmin – downloading and installation

psql – working from the command line

Summary

7. SQL Tuning

7. SQL Tuning

Understanding basic facts about databases

Query execution components

Finding the execution plan

Optimization guidelines and catches

Summary

8. Server Tuning

8. Server Tuning

Server-wide memory settings

Managing writes, connections, and maintenance

Seek/scan cost and statistics parameters

Materialized views

Partitioned tables

Summary

9. Tools to Move Data in and out of PostgreSQL

9. Tools to Move Data in and out of PostgreSQL

Setting up the production database – considerations

COPY

Fast loading with pg_bulkload

pg_dump

Filtering options

Summary

10. Scaling, Replication, and Backup and Recovery

10. Scaling, Replication, and Backup and Recovery

Scalability

Point-in-time recovery

Summary

11. PostgreSQL – Troubleshooting

11. PostgreSQL – Troubleshooting

Connection issues

Authentication and permission issues

Parameter changes not effective

Query not responding

Summary

12. PostgreSQL – Extras

12. PostgreSQL – Extras

Interesting data types

Features over time

Summary

Index

Index

Customer Reviews

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Databases, schemas, and search_path

As per the documentation, a database is a named collection of SQL objects. It's not possible to access objects in one database from another database directly. We can access other databases using a database link (or foreign data wrappers), which is an extension, as mentioned in the previous chapter.

Tip

There are two template databases: template0 and template1 in any PostgreSQL cluster. When we create a database using CREATE DATABASE db1;, a clone of the template1 database is created. If we have a few user-created tables with some master data in template1, these will be copied to the new database. If we want to create a newdb database that is a clone of a user-created database mydb, we can use CREATE DATABASE newdb TEMPLATE mydb;.

Another important concept is the schema, which is a container or a namespace within a database. Any object that we create in a database (such as a table, an index, a view, and so on) gets created under a schema. We can use...

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