The Postgres Enterprise Manager (PEM) Tuning Wizard reviews your installation, and recommends a set of configuration options that will help tune a Postgres installation to best suit the anticipated workload. PEM's Performance Diagnostics uses Postgres' wait state information to analyze queries in context of the current workload and help identify further performance improvement opportunities in terms of locks, IO, and CPU bottlenecks. This webinar covers: - How to intelligently manage all your database servers with a single console - Identify the useful features and functionality needed for visual database administration - How to manage the performance and design of your database servers

1. Using PEM to understand and
improve performance in Postgres:
Postgres Tuning Wizard and
Performance Diagnostics
Ashesh Vashi

2. This session is being recorded.
The slides and recording will be available after the session.
Please submit questions via the question box– all questions will be answered
after the presentation.
We will be sharing information about EDB and Postgres later
Welcome – Housekeeping Items

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• Introduction to PEM
• Performance Monitoring
• Database Tuning
• Tuning Wizard
• Performance Diagnostics
• EDB Wait States
• Demo
Agenda

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Introduction to PEM

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What can PEM do?

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PEM Architecture

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Market Landscape

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Performance Monitoring
Monitoring Target Probes Metrics Type of monitored data
Host/Operating System 10 47 CPU Usage, Disk Busy Info, Disk Space, IO Analysis, Load Average, Memory
Usage, Network Statistics, OS Information, OS Statistics, Server Auto Discovery
Database Server/Instance 27 196 Background Writer Statistics, Blocked Session Information, Data and Log File
Analysis, Database Frozen XID, Database Size, Database Statistics, EDB Audit
Configuration, Failover Manager Cluster Info, Failover Manager Node Status,
Lock Information, Number of Prepared Transactions, Number of WAL Files,
Database, Tablespace, PG HBA Conf, Server Information, Server log
Configuration, Session Information, Session Waits, Settings, Streaming
Replication, Streaming Replication Database Conflicts, Streaming Replication
Lag Time, System Waits, Tablespace Size, User Information, WAL Archive Status
Database 15 90 Function Statistics, Index Size, Index Statistics, Materialized View Bloat,
Materialized View Frozen XID, Materialized View Size, Object Catalog: Extension,
Object Catalog: Schema, Slony Replication, SQL/Protect, Table Bloat, Table
Frozen XID, Table Size, Table Statistics, xDB Replication
Schema 6 26 Foreign Key, Function, Index, Sequence, Table, View

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Instance Tuning
• Tuning Wizard
• Postgres Expert
• Capacity Manager (Capacity Planning)
Database Tuning
Workload/Schema Tuning
• Postgres Expert
• Explain plan analyzer (in the query tool)
• SQL Profiler
• Performance Diagnostics (Wait Events)

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• Reviews the database server installation, and recommends a set of configuration options that will help tune
the installation best suited for your workload
• Machine Utilization
+ Dedicated, Work station, Developer workstation
• Workload
+ OLTP, Mixed, Data warehouse
• effective_cache_size, maintainance_work_mem, max_wal_size, min_wal_size, random_page_cost,
shared_buffers, wal_buffers, work_mem
Tuning Wizard

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• An active session can be utilizing a CPU or waiting for an internal event/action to happen
• Wait Events (EDB Wait States)
• pg_stat_activity view - wait_event_type, wait_event
Performance Diagnostics
• LWLock
• Lock
• BufferPin
• Activity
• Extension
• Client
• IPC
• Timeout
• IO

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● EDB Wait States Background Worker (EWSBW)
○ EDB Postgres Advanced Server 11+
○ Probes each of the running sessions at regular intervals
○ Collection information for every sessions
■ Database, User, Query, Wait Events
● Wait States Interface
○ edb_wait_states_data
○ edb_wait_states_queries
○ edb_wait_states_sessions
○ edb_wait_states_samples
EDB Wait States

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DEMO

14. Why EDB?

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Products, services, and support for teams who need
to do more and go faster
• Founded in 2004
• 350+ employees
• 16 Offices worldwide
EDB supercharges PostgreSQL

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• Enterprise PostgreSQL innovations
• 4,000+ global customers
• Recognized by Gartner Magic Quadrant for 7 years in a row
• PostgreSQL community leadership
2019
Challengers Leaders
Niche Players Visionaries
Abilitytoexecute
Completeness of vision
1986
The Design
of PostgreSQL
1996
Birth of
PostgreSQL
2004
EDB
is founded
2020
TodayMaterialized
Views
Parallel
Query
JIT
Compilation
Heap Only
Tuples (HOT)
Serializable
Parallel Query
We’re database fanatics who care
deeply about PostgreSQL
Expertise

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Market Success Globally

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Core team Major contributors Contributors
EDB Open Source Leadership
Named EDB open source committers and contributors
Akshay Joshi Amul Sul Ashesh Vashi Ashutosh Sharma Jeevan Chalke
Dilip Kumar Jeevan Ladhe Rushabh Lathia
Devrim Gündüz
Robert Haas
Bruce Momjian
Dave Page
Designates PostgreSQL committers

19. Questions?

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Contact EDB in APJ
Other resources
Thank You
Australia & New Zealand:
E: sales-anz@enterprisedb.com
S E Asia & Hong Kong:
E: sales-sea-hk@enterprisedb.com
Japan:
E:jp@enterprisedb.com
S Korea:
E: sales-kr@enterprisedb.com
India, Sri Lanka & Bangladesh:
E: sales-india@enterprisedb.com
Postgres
Pulse
EDB Youtube Channel

21. Thank You
EDB supercharges Postgres to help
our customers overcome these
challenges.