Overview of EnterpriseDB Postgres Plus Advanced Server 9.4 and Postgres Enterprise Manager 5.0

© 2015 EnterpriseDB Corporation. All rights reserved. 1
Introducing Postgres Plus Advanced Server
9.4 & Postgres Enterprise Manager 5.0

•  EnterpriseDB Overview
•  Postgres Plus Advanced Server 9.4
−  Resource Management
−  Partitioning
−  SQL/Protect & MTK Enhancements
•  Highlights of What’s New in PEM 5.0
−  Enhanced Alerting
−  Log Analysis Expert
−  Custom Probes
−  Auto-Discovery of Managed Servers
−  Remote Monitoring
Agenda

POSTGRES
innovation
ENTERPRISE
reliability
24/7
support
Services
& training
Enterprise-class
features, tools &
compatibility
Indemnification
Product
road-map
Control
Thousands
of developers
Fast
development
cycles
Low cost
No vendor
lock-in
Advanced
features
Enabling commercial
adoption of Postgres

EDB is a Gartner Magic Quadrant Leader

−  Partitioning
Agenda

from PostgreSQL core from EDB Development
•  64 bit LOBs
up to 4TB
in size
•  Custom
background
workers
•  Writable
Foreign
Data
Wrappers
v9.1
EDB contributions to
PostgreSQL core
• No restore In-place
version upgrades
v9.2
v9.3
v9.0
• Materialized Views
•  Deferrable unique
constraints and
Exclusion constraints
•  Streaming replication
•  Windows
64 bit Support
•  Hot standby
•  Synchronous
replication
•  Serializable
Snapshot Isolation
•  In-memory
(unlogged) tables
•  Writeable Common
Table Expressions
(WITH)
•  Cascaded streaming
replication
•  JSON support, Range
Types
•  VARRAY support
•  SQL Profiler
•  Index Advisor
•  Parallel Bulk Data
Load
•  Row Level Security •  Declarative Partitioning
syntax
•  Table() function support
for nested tables
•  INSERT APPEND hint
•  xDB Multi-master
replication
•  Expanded Object Type
support
•  Partition Read
Improvements
over 75x
•  Support for
1000s of
Partitions
•  Partition write
improvements
over 400x
• MySQL Foreign Data
Wrappers for SQL/MED
Postgres Plus Advanced Server Key Feature Development
• Index-only scans (covering
indexes)
• Linear read scalability to
64 cores
v9.4
• pg_prewarm
• ALTER SYSTEM
• Concurrently updatable
Materialized Views
• Mongo FDW & MySQL FDW
•  Logical
Decoding for
Scalability
•  JSONB Data
Type
•  JSONB
Indexing
•  Expanded
JSON functions
•  Delayed
Application of
Replication
•  3x Faster GIN
indexes
•  Support for
Linux Huge
Pages
•  CPU & I/O
Resource
Management
•  SQL Aggregation
with CUBE,
ROLLUP and
GROUPING
SETS
•  Comprehensive
UTL_HTTP
Package
•  Hash Partitioned
Tables
•  Connect_By_Ro
ot Operator for
hierarchical
queries
•  SQL/Protect
Logging to DB
Table
•  EDB*Loader
Improved Error
handling

CPU & I/O Resource Management
Hash Partitioned Tables
SQL Aggregation with CUBE,
ROLLUP and GROUPING SETS
Comprehensive UTL_HTTP Package
Connect_By_Root Operator
ICU Collation
EDB*Loader Improvements
SQL/Protect Logging to DB Table
Migration Toolkit Enhancements
Postgres Plus Advanced Server Postgres Community
Feature Highlights for Postgres Plus
Advanced Server (PPAS) 9.4
Many new features including:
Logical Change Set Extraction
JSONB Data Type
Time Delayed Standby
ALTER SYSTEM
pg_prewarm()
Materialized View Refresh
Concurrently
Ordered Set Aggregates
and more…
http://www.depesz.com/ is a good reference site
https://commitfest.postgresql.org/ is the global
community site for patches review

Postgres Plus
Advanced
Server
Resource
Manager
(CPU & I/O)
Reporting
Transactions
80%
20%
Run Mixed Workloads More Efficiently with
PPAS 9.4 Resource Management
•  DBA assigns CPU & I/O to job groups
•  Allocates and prioritizes consumption of resources
•  Low priority jobs don’t hurt high priority jobs

•  Create Resource Groups and assign the CPU Rate Limit
•  Use these resource groups during a psql session
Run Mixed Workloads More Efficiently with
PPAS 9.4 Resource Management
- Statements executed will be limited in CPU or writing to shared_buffers per
resource group.
- Individual limits are computed based on recent CPU / shared_buffer usage.
- Processes sleep when necessary & avoid sleep when holding critical locks.
- The limits are adjusted regularly based on current usage.
- If multiple processes in the same group are being executed, aggregate usage
will be limited
CREATE RESOURCE GROUP resgrp_a;
CREATE RESOURCE GROUP resgrp_b;
ALTER RESOURCE GROUP resgrp_a SET cpu_rate_limit = .25;
ALTER RESOURCE GROUP resgrp_a SET dirty_rate_limit = 12288;
SET edb_resource_group TO res_grp_a;

Chapter 13 of EDB Oracle Compatibility Guide for details on usage
One logically large table is broken into smaller physical pieces.
•  Worthwhile when a table would otherwise be very large.
•  Exact point to see benefits will depend on the application.
When should I Partition?
•  Good rule of thumb is that the size of the table should exceed the physical memory
of the database server.
•  When most accessed rows are in a single partition or a small number of partitions.
•  When there is a lot of concurrent inserts or updates (Hash partitioning may benefit)
•  When a query or update accesses a large percentage of a single partition.
•  For Bulk Loads / Unloads (ALTER TABLE faster than bulk load, avoids VACUUM
overhead from DELETE).
•  When actively archiving seldom-used data to less expensive storage.
Support Larger Tables with Partitioning

Use PPAS Syntax To Minimize Partitioning
Errors and Complexity
CREATE TABLE sales (
dept_no number,
part_no varchar2,
country varchar2(20),
date date,
amount number )
PARTITION BY RANGE(date)
(
PARTITION q1_2014 VALUES LESS THAN('2014-
Apr-01'),
Jul-01'),
Oct-01'),
Jan-01')
);
CREATE INDEX sales_date on sales(date);
Simple Declarative
PARTITION BY and
SUBPARTITION BY
Single Index
command
•  More SQL syntax provide sophisticated
data management techniques
−  ADD / DROP to augment the partitions
−  SPLIT to divide the data
−  EXCHANGE to swap in a new partition
−  TRUNCATE to remove all data but leave
structure in tact
−  MOVE to shift data to a different tablespace
•  PPAS Improved performance with Fast
Pruning and Constraint Exclusion support
•  System Catalog Views for Partitions
−  ALL_PART_TABLES
−  ALL_TAB_PARTITIONS,
ALL_TAB_SUBPARTITIONS
−  ALL_PART_KEY_COLUMNS,
ALL_SUBPART_KEY_COLUMNS

List, Range or Hash Partition Rules
•  Provide the constraints to define where data is stored
•  For PPAS, also used to support Fast Partition Pruning
•  Consider how data stored will be queried, include often-queried columns
in partitioning rules.
•  List – Single partitioning key column; based on exact value
•  Range – One of more partitioning key columns; based on values between
two extremes
•  Hash (New 9.4) – Data divided amongst equal sized partitions based on
hash value.
* Internal tests have shown hash partitioning can improve performance when many
hundred concurrent connections insert/update to the same table*
PPAS 9.4 Supports Various Partitioning
Rules

Advanced Server’s Query Planner uses two optimization techniques to
compute an efficient plan:
•  Constraint exclusion (constraint_exclusion = partition or on)
−  Provided by PSQL
−  SELECT w/ WHERE: Query Planner must examine the CHECK constraints defined
for each partition before deciding which partition to send query fragments to.
•  Fast pruning (edb_partition_pruning = on)
−  Occurs earlier in query planner process. Understands the relationship between
partitions in an Oracle style partitioned table.
−  SELECT w/ WHERE: Query Planner can reason that only a certain partition holds
the values without examining the constraints defined for each partition.
−  Can be used for LIST or single value RANGE Partitions (not usable on subpartitioned
tables or multi-value range partitioned tables)
−  Works with >, >=, =, <=, <, AND, BETWEEN operators in the WHERE Clause
PPAS Improves Partitioning Performance

•  SQL/Protect Logging to DB Tables (Ch 4.1.1.2.3 of EDB Enterprise Edition
Guide)
−  Gives DBA a tool to protect against SQL Injection attacks
−  View edb_sql_protect_queries contains logged information
−  To test, enable SQL/Protect, create a test role, set blocking of unbounded
DML (for example), then execute UPDATE without WHERE clause on test
table
•  MTK Improvements
−  Migration Toolkit will now provide a detailed log with well defined error
codes to allow DBAs to better understand which capabilities of their
database applications from Oracle, MySQL, SQL Server or Sybase are
migrate-able to PPAS.
−  See Ch 9 of Migration Toolkit documentation for a list of the error codes
provided
More Flexibility with SQL/Protect and
Migration Toolkit Enhancements

1.  Customers running mixed workloads.
2.  Application Developers who require communication with external
Web servers.
3.  Customers with large tables where they often search for exact
matches or have many concurrent inserts/updates.
4.  Users who think they need a NoSQL database.
5.  Customers with reporting or data warehousing databases.
6.  DBAs who use need to bulk load data.
7.  DBA’s concerned with Security and SQL Injection Attacks.
Postgres Plus Advanced Server (PPAS)
9.4 Use Cases

−  Partitioning
Agenda

Over 225 predefined and
custom probes to support
alerts via SMTP or SNMP
Predefined & customized
at-a-glance dashboards
OS and database
statistics collection
Replication monitoring
MONITOR TUNEMANAGE
CRUD operations on all
database objects
Bulk operations across
multiple servers
Capacity Manager to plan &
forecast
Log Manager and Audit
Manager to configure
database metric collection
SQL/Profiler to speed up
large workloads
Index Advisor to suggest
and create indexes
Postgres Expert for best
practice enforcement
Tuning Wizard for machine
utilization and load profiles
No Other Tool Provides Much Visibility Into
your Postgres Databases

Monitor All Your Postgres Databases From
One Screen
•  Customized global
dashboard
•  View up/down status
of all agents
•  Monitor alerts from
many servers in one
place
•  Navigate to
Dashboards for
further analysis

Highlights for PEM 5.0
•  Alert Level Specific Notifications
•  Log Analysis Expert
•  Custom Probes
•  Auto-Discovery of Managed
Servers
•  Remote Monitoring
•  Download Tuning
Recommendations
•  Log OS Metrics for Backend
Server Processes
•  Better Zooming and Granularity
Control
•  Cross Hierarchy Charts
•  Monitor Streaming Replication
Ease Of Use Richer Dashboards

Model your Support Staff Rotation in PEM
for Email Alerting
•  Decide who is
externally notified of
alerts by creating the
email groups.
•  Define different email
envelope information,
depending on time of
day.

Automate Notification or Actions on over 225
Predefined or Customizable Alerts (1 of 2)
•  Create and manage
alerts
•  Examples – running
low on disk space,
server down, last
vacuum, total table
bloat, etc.
•  Set the low, medium
and high threshold

Automate Notification or Actions on over 225
Predefined or Customizable Alerts (2 of 2)
•  Choose when and who
to send email
notifications to.
•  Decide when to send
SNMP traps
•  Further execute any
external script.

•  Generate reports on stats
like locks and queries that
are collected by the Log
Manager
•  Collects information based
on historical csv data, not
dependent on live logs.
•  First configure Log Manager
to enable collection of log
files.
•  Once you have logs
collected, use the Log
Analysis Expert to select
which reports to generate
•  More details in the ‘Log
Analysis Expert’ section of
the Online Help
Better Understand Database Activities with
Log Analysis Expert

Gather Any Custom Information You Want
With Custom Probes (1 of 3)
•  Probes are used to
gather metrics for
alerts and dashboard
charts.
•  View all System
Probes.
•  Add New or Modify
existing probes to suit
your needs.

•  Define the columns
that will be used to
store the data
collected.
•  If ‘Graphable’, the
column will be
available on Charts
and Capacity Manager.
•  Control if the metric is
Point In Time or
Cumulative

•  If this is a SQL Probe,
enter the SQL SELECT
statement to be
executed by the probe
in the Code tab.
•  If this is a Batch probe,
enter the shell or .bat
script to be invoked by
the probe.

•  Locate databases that reside
on servers with Agents
installed on them.
•  After you install agents
−  Select them in the tree and
choose Management -> Auto
Discovery to open the dialog
shown.
−  Then select the database
server to have the server
property fields filled in
•  More details in the ‘Automatic
Discovery of Server’ section
of the Online Help
Auto Discovery of Managed Servers For
Easier Deployment

•  Allow remote monitoring of
servers (without installing
agents using direct JDBC
connections), from the agent
running on the PEM server
−  Ignores OS level stats,
disables features like Server
Startup, Audit/Log/Capacity
Manager, Tuning/
Deployment Wizard
•  Create Server and select
Remote monitoring in PEM
Agent Tab.
Remote Monitoring

Feature Benefit Audience Motivation
Alert Controls Control who gets which alerts depending on
severity and time of day / day of week.
DBAs Ease of Use
Log Analysis Expert Better understanding the operations that
occur in your database.
DBAs Ease of Use
Custom Probes Get whatever custom information you want
from your databases or servers; pull in
BART or EFM status information
DBAs Compatibility
Auto-discovery of
Managed Servers
Easily configure PEM Server with all
database servers on managed hosts.
DBAs Ease of Use
Remote Monitoring Monitor servers without installing agents
using direct connections.
DBAs Ease of Use
Log OS Metrics for
Backend Server
Processes
New probe that capture memory and CPU
alongside process information
DBAs Compatibility
Improved Dashboards
(Better zooming /
granularity control,
cross server charts)
Compare metrics, More accurate and
relevant information when zooming in and
out of charts
DBAs Ease of Use
Recap: Main Feature/Benefits for this
Release

How can I learn more?
•  Download:
•  http://www.enterprisedb.com/download-advanced-server
•  http://www.enterprisedb.com/download-postgres-enterprise-
manager
•  General Information:
•  http://www.enterprisedb.com/postgres-plus-advanced-server
•  http://www.enterprisedb.com/postgres-enterprise-manager

Overview of EnterpriseDB Postgres Plus Advanced Server 9.4 and Postgres Enterprise Manager 5.0

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Overview of EnterpriseDB Postgres Plus Advanced Server 9.4 and Postgres Enterprise Manager 5.0