PostgreSQL Administration and Performance Tuning

Level:

Intermediate

Date:

30.03 - 03.04.20


Duration:

5 days

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Audience

This course is especially suitable for database administrators (Linux / Windows / Solaris / Mac OS X) and sysadmis. We will deal with administration and performance tuning related topics.

COURSE CONTENT

DAY 1:

Installing PostgreSQL

  • Installing PostgreSQL on Windows (if required)
  • Installing PostgreSQL on Linux
  • Running PostgreSQL as container (Docker)
  • Creating database instances
  • Creating and dropping databases
  • Encoding and character sets
  • Adjusting kernel parameters

The PostgreSQL architecture

  • Overview of PostgreSQL
  • Postmaster and its child processes
  • Backend connections
  • Using shared memory
  • Stats collector
  • Checkpoint subprocesses

PostgreSQL indexing and performance

  • Types of PostgreSQL indexes
  • Understanding the PostgreSQL optimizer
  • EXPLAIN and EXPLAIN ANALYZE
  • Reading execution plans
  • Detecting slow queries
  • Find missing indexes
  • Full text search
  • GIS indexing and geospatial search

 

DAY 2:

Transactions and locking

  •     The PostgreSQL transactional model
  •     Understanding MVCC (MultiVersion Concurrency Control)
  •     FOR UPDATE vs. FOR SHARE vs. LOCK TABLE
  •     Managing transactional integrity
  •     Using advisory locks
  •     Understanding deadlocks
  •     Making use of transaction isolation levels
  •     Detecting locking problems

Storage management

  •     Using tablespaces
  •     VACUUM and VACUUM FULL
  •     Understanding pg_squeeze
  •     Preventing table bloat
  •     Improving UPDATE performance
  •     HOT-UPDATE and FILLFACTOR
  •     PostgreSQL partitioning

Upgrading PostgreSQL

  •     pg_upgrade at work

 

DAY 3:

WAL: The PostgreSQL transaction log

  •     How PostgreSQL writes data to disk
  •     Improving checkpoint performance (postgresql.conf)
  •     Speeding up bulk loads
  •     Asynchronous COMMIT
  •     Unlogged tables

Memory management

  •     Adjusting shared_buffers
  •     Improving work_mem and maintenance_work_mem
  •     Understanding additional memory parameters

PostgreSQL replication

  •     Setting up streaming replication
  •     Synchronous vs. asynchronous replication
  •     Automated failover (Patroni)
  •     Managing service IPs
  •     Handling replication conflicts
  •     Using pg_rewind manually
  •     Logical replication

Database backups

  •     Utilizing pg_dump and pg_restore
  •     Binary backups (pg_basebackups)
  •     Point-In-Time-Recovery (PITR)
  •     Backup tools (pgbackrest)

 

DAY 4:

PostgreSQL security

  •     TCP vs. UNIX sockets
  •     Managing pg_hba.conf
  •     Central authentication
  •     Encrypted database connections
  •     Creating users / roles
  •     Access permissions (GRANT / REVOKE)
  •     Defining default priviledges
  •     PostgreSQL on disk encryption
  •     Row Level Security (RLS)
  •     Security barrier, leakproof functions, etc

PostgreSQL monitoring and logging

  •     Managing log files
  •     Handling log rotation
  •     Understanding PostgreSQL system tables
  •     Using pg_stat_statements
  •     Inspecting performance vitals
  •     Checking stored procedure performance
  •     Making use of pgwatch2 monitoring

 

DAY 5:

Parallel queries

  •     Configuring parallel queries
  •     How the optimizer handles parallelism
  •     Performance considerations

Server side code

  •     Optimizing PL/pgSQL procedures
  •     Finding bottlenecks in serverside code
  •     Monitoring procedures
  •     Deploying PostgreSQL extensions

Foreign Data Wrappers

  •     Accessing remote data
  •     Connecting to Oracle
  •     Connecting to PostgreSQL
  •     Migrating data to PostgreSQL
  •     Implications for the optimizer
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