Mastering PostgreSQL 11 - Second Edition

Mastering PostgreSQL 11 - Second Edition

by Hans-Jurgen Schonig
Released October 2018
Publisher(s): Packt Publishing
ISBN: 9781789537819

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Book description

Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your database

Key Features

  • Master advanced concepts of PostgreSQL 11 with real-world datasets and examples
  • Explore query parallelism, data replication, and database performance while working with larger datasets
  • Extend the functionalities of your PostgreSQL instance to suit your organization's needs with minimal effort

Book Description

This second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease.

This book begins with an introduction to the newly released features in PostgreSQL 11 to help you build efficient and fault-tolerant PostgreSQL applications. You'll examine all of the advanced aspects of PostgreSQL in detail, including logical replication, database clusters, performance tuning, monitoring, and user management. You will also work with the PostgreSQL optimizer, configuring PostgreSQL for high speed, and see how to move from Oracle to PostgreSQL. As you progress through the chapters, you will cover transactions, locking, indexes, and optimizing queries to improve performance. Additionally, you'll learn to manage network security and explore backups and replications, while understanding the useful extensions of PostgreSQL so that you can optimize the speed and performance of large databases.

By the end of this book, you will be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.

What you will learn

  • Get to grips with advanced PostgreSQL 11 features and SQL functions
  • Make use of the indexing features in PostgreSQL and fine-tune the performance of your queries
  • Work with stored procedures and manage backup and recovery
  • Master replication and failover techniques
  • Troubleshoot your PostgreSQL instance for solutions to common and not-so-common problems
  • Perform database migration from MySQL and Oracle to PostgreSQL with ease

Who this book is for

This book is for data and database professionals wanting to implement advanced functionalities and master complex administrative tasks with PostgreSQL 11. Prior experience of database administration with PostgreSQL database will aid in understanding the concepts covered in this book.

Table of contents

  1. Title Page
  2. Copyright and Credits
    1. Mastering PostgreSQL 11 Second Edition
  3. About Packt
    1. Why subscribe?
    2. PacktPub.com
  4. Contributors
    1. About the author
    2. About the reviewer
    3. Packt is searching for authors like you
  5. Preface
    1. Who this book is for
    2. What this book covers
    3. To get the most out of this book
      1. Conventions used
    4. Get in touch
      1. Reviews
  6. PostgreSQL Overview
    1. What's new in PostgreSQL 11.0?
      1. Understanding the new database administration functions
        1. Using configurable WAL-segment sizes
        2. Larger queryid in pg_stat_statements
      2. Improved indexing and better optimization
        1. Expression index statistics
        2. INCLUDE indexes or covering indexes
        3. Parallel index creation
      3. Better cache management
        1. Improving pg_prewarm
      4. Enhancing windowing functions
      5. Introducing just-in-time compilation
      6. Enhanced partitioning
      7. Adding support for stored procedures
      8. Improving ALTER TABLE
    2. Summary
    3. Q&A
  7. Understanding Transactions and Locking
    1. Working with PostgreSQL transactions
      1. Handling errors inside a transaction
      2. Making use of SAVEPOINT
      3. Transactional DDLs
    2. Understanding basic locking
      1. Avoiding typical mistakes and explicit locking
        1. Considering alternative solutions
    3. Making use of FOR SHARE and FOR UPDATE
    4. Understanding transaction isolation levels
      1. Considering SSI transactions
    5. Observing deadlocks and similar issues
    6. Utilizing advisory locks
    7. Optimizing storage and managing cleanup
      1. Configuring VACUUM and autovacuum
        1. Digging into transaction wraparound-related issues
        2. A word on VACUUM FULL
      2. Watching VACUUM at work
      3. Limiting transactions by making use of snapshot too old
    8. Summary
    9. Q&A
  8. Making Use of Indexes
    1. Understanding simple queries and the cost model
      1. Making use of EXPLAIN
      2. Digging into the PostgreSQL cost model
      3. Deploying simple indexes
      4. Making use of sorted output
        1. Using more than one index at a time
      5. Using bitmap scans effectively
      6. Using indexes in an intelligent way
    2. Improving speed using clustered tables
      1. Clustering tables
      2. Making use of index-only scans
    3. Understanding additional btree features
      1. Combined indexes
      2. Adding functional indexes
      3. Reducing space consumption
      4. Adding data while indexing
    4. Introducing operator classes
      1. Hacking up an operator class for a btree
        1. Creating new operators
        2. Creating operator classes
        3. Testing custom operator classes
    5. Understanding PostgreSQL index types
      1. Hash indexes
      2. GiST indexes
        1. Understanding how GiST works
        2. Extending GiST
      3. GIN indexes
        1. Extending GIN
      4. SP-GiST indexes
      5. BRIN indexes
        1. Extending BRIN indexes
      6. Adding additional indexes
    6. Achieving better answers with fuzzy searching
      1. Taking advantage of pg_trgm
      2. Speeding up LIKE queries
      3. Handling regular expressions
    7. Understanding full-text search
      1. Comparing strings
      2. Defining GIN indexes
      3. Debugging your search
      4. Gathering word statistics
      5. Taking advantage of exclusion operators
    8. Summary
    9. Q&A
  9. Handling Advanced SQL
    1. Introducing grouping sets
      1. Loading some sample data
      2. Applying grouping sets
        1. Investigating performance
      3. Combining grouping sets with the FILTER clause
    2. Making use of ordered sets
    3. Understanding hypothetical aggregates
    4. Utilizing windowing functions and analytics
      1. Partitioning data
      2. Ordering data inside a window
      3. Using sliding windows
      4. Abstracting window clauses
      5. Making use of on-board windowing functions
        1. The rank and dense_rank functions
        2. The ntile() function
        3. The lead() and lag() functions
        4. The first_value(), nth_value(), and last_value() functions
        5. The row_number() function
    5. Writing your own aggregates
      1. Creating simple aggregates
      2. Adding support for parallel queries
      3. Improving efficiency
      4. Writing hypothetical aggregates
    6. Summary
  10. Log Files and System Statistics
    1. Gathering runtime statistics
      1. Working with PostgreSQL system views
        1. Checking live traffic
        2. Inspecting databases
          1. Inspecting tables
        3. Making sense of pg_stat_user_tables
        4. Digging into indexes
        5. Tracking the background worker
        6. Tracking, archiving, and streaming
        7. Checking SSL connections
        8. Inspecting transactions in real time
        9. Tracking vacuum progress
        10. Using pg_stat_statements
    2. Creating log files
      1. Configuring the postgresql.conf file
        1. Defining log destination and rotation
        2. Configuring syslog
        3. Logging slow queries
        4. Defining what and how to log
    3. Summary
    4. Q&A
  11. Optimizing Queries for Good Performance
    1. Learning what the optimizer does
      1. Optimizations by example
        1. Evaluating join options
          1. Nested loops
          2. Hash joins
          3. Merge joins
        2. Applying transformations
          1. Inlining the view
          2. Flattening subselects
        3. Applying equality constraints
        4. Exhaustive searching
        5. Trying it all out
        6. Making the process fail
        7. Constant folding
        8. Understanding function inlining
        9. Join pruning
        10. Speedup set operations
    2. Understanding execution plans
      1. Approaching plans systematically
        1. Making EXPLAIN more verbose
      2. Spotting problems
        1. Spotting changes in runtime
        2. Inspecting estimates
        3. Inspecting buffer usage
        4. Fixing high buffer usage
    3. Understanding and fixing joins
      1. Getting joins right
      2. Processing outer joins
      3. Understanding the join_collapse_limit variable
    4. Enabling and disabling optimizer settings
      1. Understanding genetic query optimization
    5. Partitioning data
      1. Creating partitions
      2. Applying table constraints
      3. Modifying inherited structures
      4. Moving tables in and out of partitioned structures
      5. Cleaning up data
      6. Understanding PostgreSQL 11.0 partitioning
    6. Adjusting parameters for good query performance
      1. Speeding up sorting
      2. Speeding up administrative tasks
    7. Making use of parallel queries
      1. What is PostgreSQL able to do in parallel?
      2. Parallelism in practice
    8. Introducing JIT compilation
      1. Configuring JIT
      2. Running queries
    9. Summary
  12. Writing Stored Procedures
    1. Understanding stored procedure languages
      1. Understanding fundamentals – stored procedures versus functions
      2. The anatomy of a function
        1. Introducing dollar quoting
        2. Making use of anonymous code blocks
        3. Using functions and transactions
    2. Understanding various stored procedure languages
      1. Introducing PL/pgSQL
        1. Handling quoting
        2. Managing scopes
        3. Understanding advanced error handling
        4. Making use of GET DIAGNOSTICS
        5. Using cursors to fetch data in chunks
        6. Utilizing composite types
        7. Writing triggers in PL/pgSQL
      2. Writing stored procedures in PL/pgSQL
      3. Introducing PL/Perl
        1. Using PL/Perl for datatype abstraction
        2. Deciding between PL/Perl and PL/PerlU
        3. Making use of the SPI interface
        4. Using SPI for set returning functions
        5. Escaping in PL/Perl and support functions
        6. Sharing data across function calls
        7. Writing triggers in Perl
      4. Introducing PL/Python
        1. Writing simple PL/Python code
        2. Using the SPI interface
        3. Handling errors
    3. Improving functions
      1. Reducing the number of function calls
        1. Using cached plans
        2. Assigning costs to functions
    4. Using functions for various purposes
    5. Summary
    6. Q&A
  13. Managing PostgreSQL Security
    1. Managing network security
      1. Understanding bind addresses and connections
        1. Inspecting connections and performance
        2. Living in a world without TCP
      2. Managing pg_hba.conf
        1. Handling SSL
      3. Handling instance-level security
        1. Creating and modifying users
      4. Defining database-level security
      5. Adjusting schema-level permissions
      6. Working with tables
      7. Handling column-level security
      8. Configuring default privileges
    2. Digging into RLS
    3. Inspecting permissions
    4. Reassigning objects and dropping users
    5. Summary
    6. Q&A
  14. Handling Backup and Recovery
    1. Performing simple dumps
      1. Running pg_dump
      2. Passing passwords and connection information
        1. Using environment variables
        2. Making use of .pgpass
        3. Using service files
      3. Extracting subsets of data
    2. Handling various formats
    3. Replaying backups
    4. Handling global data
    5. Summary
    6. Q&A
  15. Making Sense of Backups and Replication
    1. Understanding the transaction log
      1. Looking at the transaction log
      2. Understanding checkpoints
      3. Optimizing the transaction log
    2. Transaction log archiving and recovery
      1. Configuring for archiving
      2. Configuring the pg_hba.conf file
      3. Creating base backups
        1. Reducing the bandwidth of a backup
        2. Mapping tablespaces
        3. Using different formats
        4. Testing transaction log archiving
      4. Replaying the transaction log
        1. Finding the right timestamp
      5. Cleaning up the transaction log archive
    3. Setting up asynchronous replication
      1. Performing a basic setup
        1. Improving security
      2. Halting and resuming replication
      3. Checking replication to ensure availability
      4. Performing failovers and understanding timelines
      5. Managing conflicts
      6. Making replication more reliable
    4. Upgrading to synchronous replication
      1. Adjusting durability
    5. Making use of replication slots
      1. Handling physical replication slots
      2. Handling logical replication slots
        1. Use cases of logical slots
    6. Making use of CREATE PUBLICATION and CREATE SUBSCRIPTION
    7. Summary
    8. Q&A
  16. Deciding on Useful Extensions
    1. Understanding how extensions work
      1. Checking for available extensions
    2. Making use of contrib modules
      1. Using the adminpack module
      2. Applying bloom filters
      3. Deploying btree_gist and btree_gin
      4. Dblink – considering phasing out
      5. Fetching files with file_fdw
      6. Inspecting storage using pageinspect
      7. Investigating caching with pg_buffercache
      8. Encrypting data with pgcrypto
      9. Prewarming caches with pg_prewarm
      10. Inspecting performance with pg_stat_statements
      11. Inspecting storage with pgstattuple
      12. Fuzzy searches with pg_trgm
      13. Connecting to remote servers using postgres_fdw
        1. Handling mistakes and typos
    3. Other useful extensions
    4. Summary
  17. Troubleshooting PostgreSQL
    1. Approaching an unknown database
    2. Inspecting pg_stat_activity
      1. Querying pg_stat_activity
        1. Treating Hibernate statements
        2. Figuring out where queries come from
    3. Checking for slow queries
      1. Inspecting individual queries
      2. Digging deeper with perf
    4. Inspecting the log
    5. Checking for missing indexes
    6. Checking for memory and I/O
    7. Understanding noteworthy error scenarios
      1. Facing clog corruption
      2. Understanding checkpoint messages
      3. Managing corrupted data pages
      4. Careless connection management
      5. Fighting table bloat
    8. Summary
    9. Q&A
  18. Migrating to PostgreSQL
    1. Migrating SQL statements to PostgreSQL
      1. Using lateral joins
        1. Supporting lateral joins
      2. Using grouping sets
        1. Supporting grouping sets
      3. Using the WITH clause – common table expressions
        1. Supporting the WITH clause
      4. Using the WITH RECURSIVE clause
        1. Supporting the WITH RECURSIVE clause
      5. Using the FILTER clause
        1. Supporting the FILTER clause
      6. Using windowing functions
        1. Supporting windowing and analytics
      7. Using ordered sets – the WITHIN GROUP clause
        1. Supporting the WITHIN GROUP clause
      8. Using the TABLESAMPLE clause
        1. Supporting the TABLESAMPLE clause
      9. Using limit/offset
        1. Supporting the FETCH FIRST clause
      10. Using the OFFSET clause
        1. Supporting the OFFSET clause
      11. Using temporal tables
        1. Supporting temporal tables
      12. Matching patterns in time series
    2. Moving from Oracle to PostgreSQL
      1. Using the oracle_fdw extension to move data
      2. Using ora2pg to migrate from Oracle
      3. Common pitfalls
      4. The ora_migrator tool – migrating from Oracle to PostgreSQL quickly
        1. How does ora_migrator work?
    3. Moving from MySQL or MariaDB to PostgreSQL
      1. Handling data in MySQL and MariaDB
        1. Changing column definitions
        2. Handling null values
        3. Expecting problems
      2. Migrating data and schema
        1. Using pg_chameleon
        2. Using FDWs
    4. Summary
  19. Other Books You May Enjoy
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Product information

  • Title: Mastering PostgreSQL 11 - Second Edition
  • Author(s): Hans-Jurgen Schonig
  • Release date: October 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781789537819