Introduction of Postgres Plus Advanced Server

© 2013 EnterpriseDB Corporation. All rights reserved. 1

Introduction of Postgres Plus Advanced Server

Jihoon Kim, Principal Sales Engineer, EnterpriseDB

2013-11-21


• Introduction of EnterpriseDB

• PostgreSQL & Postgres Plus Advanced Server

• Oracle Compatibility

• What’s New in PPAS 9.3

• Case Studies

Agenda

© 2013 EDB All rights reserved 8.1. 3

Introduction of EnterpriseDB


Providing enterprises with the cost-performance benefits of Postgres by offering the products, resources, support and dependability required for high-level commercial applications.

• 140+ employees

• 2,500+ customers across all market segments

• Global presence with offices in North America, Europe, Asia

• Fast growing: 60%+ YOY sales growth in 2012, 80%+ YOY 2013

• Strong financial banking:


EDB Serves ALL Your Postgres Needs

PostgreSQL

Postgres Plus Advanced Server Postgres Plus

Cloud


Enabling Commercial Adoption of Postgres

PostgreSQL

Fast development cycles

Thousands of developers

Advanced features

No vendor lock-in

Low cost

Enterprise Requirements

24/7 support

Services and training

Enterprise-class features & tools

Indemnification

Product road-map

Responsiveness, dependability & control

Postgres Plus Advanced Server ‒ The Best of Both Worlds

Postgres Innovation and Enterprise Reliability


New Gartner ODBMS Magic Quadrant

Gartner Comments:

• Community leadership — EnterpriseDB is the primary contributor to the PostgreSQL community and is responsible for many new features of PostgreSQL, including JSON.

• Functionality — The functionality of EnterpriseDB's Postgres Plus has increased greatly, and with the Oracle Compatibility Feature is now more than sufficient to run both mission-critical and non-mission-critical applications.

• Stability and compatibility — References specifically call out compatibility with Oracle, the stability of the DBMS and product support as strengths.


EDB Global 1000 Customers

Accenture

ADP

Aetna

AT&T

AutoZone

BAE Systems

Banco do Brasil

Boeing

Bouygues Telecom

Broadcom

Cisco Systems

Citigroup

Cognizant Technology Solutions

Computer Associates

Computer Science Corporation

Deere & Company

Dell

Deutsche Boerse AG

eBay

EMC Corporation

Emerson Electric

Ericsson

Fujitsu

General Electric (GE)

Google

Grupo BBVA

HP

IBM

Northrop Grumman

Nucor

ONGEI

Panasonic

QUALCOMM

Raytheon

RSA

SAP

Schneider Electric

Seagate

Siemens

SK Telecom

Softbank

Sony

Swisscom

Symantec

Syngenta Crop Protection

Tata Consultancy Services

Telstra

The GAP

Tokio Marine & Nichido Fire Insurance

Toyota

Union Pacific Railroad

VMWare

Walt Disney

Wipro

Xerox

Yahoo

ICICI

Infosys

JPMorgan Chase

KDDI

KT

Kubota

Kyocera

Lockheed Martin

MasterCard International

McKesson

Mizuho Information & Research Institute

Mosaic ATM

Motorola

NEC

Nippon Telegraph and Telephone

Nokia

The World’s Largest Corporations

FORTUNE GLOBAL


Survey: Adoption Drivers for Postgres


PostgreSQL & Postgres Plus Advanced Server


• Most mature open source RDBMS technology

• Enterprise-class features (built like Oracle, DB2, SQL Server)

• Strong, independent community driving rapid innovation

Postgres: A Proven Track Record

Fully ACID Compliant

MVCC

Point in Time Recovery (PITR)‏

Data and Index Partitioning

Bitmap Indexes

ANSI Constraints

Triggers & Stored Functions

Views & Data Types

Nested Transactions

Online Backup

Online Reorganization

Foreign Keys

Streaming Replication

Multi-Core Support


Synchronized with and contributing to the PostgreSQL community

Postgres Plus: A Super-Set of Features


Year Release PostgreSQL

Baseline Features

Postgres Plus

Additional Features

2005 to

2009 8.0 to 8.4

• Native Support for MS Windows

• Savepoints, Point-in-time recovery

• Two-phase commit

• Warm Standby

• Table spaces, Partitioning

• Window functions

• Autovacuum

• Replication, Warm standby

• Column Level Permissions

• Full Text Search

• Heap Only Tuples (HOT)

• Predefined reusable Function Packages

• Bulk collection and Bulk bind performance

• High speed bulk data loads with error handling

• SQL Optimizer Hints

• Dynamic runtime instrumenting of SQL wait states

• User defined object types

• Explicit Commit / Rollback Control in procedures

• Hierarchical Queries

• SQL/Protect against SQL injection attacks

• Full Text Search

• Heap Only Tuples (HOT)

2010 9.0

• Streaming replication

• Hot standby

• Windows 64 bit Support

• Deferrable unique constraints and Exclusion constraints

• No restore In-place version upgrades

• SQL Profiler

• Index Advisor

• Parallel Bulk Data Load

• VARRAY support

• In-place version upgrades

2011 9.1

• Synchronous replication

• Unlogged tables

• Serializable Snapshot Isolation

• Writeable Common Table Expressions (WITH)

• Row Level Security

• Declarative Partitioning syntax

• Index-only scans (covering indexes)

• Linear read scalability to 64 cores

2012 9.2

• Index-only scans (covering indexes)

• Linear read scalability to 64 cores

• Cascaded streaming replication

• JSON support, Range Types

• MySQL Foreign Data Wrappers for SQL/MED

• INSERT APPEND hint

• Table() function support for nested tables

• xDB Multi-master replication

• Expanded Object Type support

• MySQL Foreign Data Wrappers for SQL/MED

2013 9.3

• Materialized Views

• 64 bit LOBs up to 4TB in size

• Custom background workers

• Writable Foreign Data Wrappers

• Materialized Views

• Support for 1000s of Partitions

• Partition write improvements over 400x

• Partition Read Improvements over 75x

PostgreSQL & Postgres Plus Evolution

(EDB CONTRIBUTION)

(EDB CONTRIBUTION)

(EDB CONTRIBUTION)

(EDB CONTRIBUTION)

• Rapid ongoing feature development

• EDB continuously driving new enterprise capabilities into Postgres Plus

• EDB contributes key features back into community PostgreSQL


Postgres Plus: Everything in PostgreSQL PLUS…

Security: • Fine Grained Audit Logging

• Row Level Security (VPD)

• SQL injection attack guard

• Server-side code protection

• EAL2 certification

Bundled Tools: • Oracle & SQL Server to

Postgres replication, including multi-master replication

• Enterprise management, monitoring, and tuning with Postgres Enterprise Manger

• Oracle & SQL Server to Postgres Migration Tools

• Update Monitor

Oracle Compatibility: • 60% of customers migrate

in <2 weeks

• PL/SQL, OCI support

• Oracle SQL extensions

• User defined objects

• Function packages

• Database links

• Oracle-like tools: EDB*Loader, EDB*Plus, EDB*Wrap

Performance: • Partitioning:

-400x faster writes -76x faster selects

• SQL Profiler--find / fix slow SQL workloads

• Bulk Data Loader--2x faster

• Index Advisor—speeds up slow queries

• Query Hints--optimizer control

• DynaTune—auto-tunes for memory upgrades

• Bulk Collect/Fetch/Binding of arrays

• Dynamic runtime statistics reveals SQL wait bottlenecks


EDB Agile Enterprise Enablement

Agile Enablement

Discover

Plan

Develop

• Inventory all DB’s

• Group apps into logical & manageable sets

• Assess in-house skill levels

• Create multi-year transformational road map

• Assemble cross- functional teams

• ID license options & cost savings potential

• Existing: • Migration Assessment testing • Prioritization, scheduling, execution

• Architectural assistance

• Infrastructure DBA services

• Developer subscriptions

• Migration Factory assistance

• EDB professional services

• New: • ROI Validation • Performance design

• Ongoing support

• Remote DBA

• Training & certification

• Cloud DBMS

Operate Learn • Postgres & EDB capabilities

• Best practices

• Business case parameters

Res

ou

rce

C

om

mitm

en

t

Checkpoint

• 3-4 month cycles are repeated for manageable groups of apps/DB’s

• Business metrics are continuously measured and priorities reassessed


Survey: Re-Use of DBA Skills

51% had slight to

no modifications


Oracle Compatibility


1 Analyze Oracle Schema Layout:

Assessing Ease of Migration

2 Review features used in Oracle client application:

Static Analysis of Oracle Schema

and database layout

Static Analysis of Source Code

Developer Interviews


3 Evaluate results along 5 axis using proven algorithms:

Assessing Ease of Migration (Cont.)

4 Migration Plan: • Score of 1 – 10 assigned based on

analysis of steps 1 and 2

− 1 difficult – 10 minimal effort

• Work arounds for identified missing features

• Time estimates given in person weeks


Survey: Ease of Migration

Organizations that migrated Oracle-based applications to Postgres Plus Advanced Server stated the degree to which they had to modify these applications.

51% had

slight to no

modifications


What’s New in PPAS 9.3


PostgreSQL 9.3 Performance

• pg_upgrade parallel process enhancements

pg_upgrade performance

seconds vs number of tables


Materialized View Example

SELECT survey_date, count(survey_result_count) total_surveys, round(avg(survey_result_count)) average_result, min(survey_result_count) smallest_sample, max(survey_result_count) largest_sample FROM survey_results GROUP BY survey_date ORDER BY survey_date ASC;

CREATE MATERIALIZED VIEW survey_summary AS SELECT survey_date, count(survey_result_count) total_surveys, round(avg(survey_result_count)) average_result, min(survey_result_count) smallest_sample, max(survey_result_count) largest_sample FROM survey_results GROUP BY survey_date ORDER BY survey_date ASC; SELECT * FROM survey_summary;

CREATE TABLE survey_results (id serial PRIMARY KEY, survey_date date,

survey_id int, survey_result_count int);

Takes 7.5 seconds to

execute on test machine on

table with 20 million rows:

7552.442 ms

Creating the view takes the

same time to execute as the

original query.

Executing survey_summary

query takes 4.62ms

© 2013 EDB All rights reserved. 24

Advanced Server 9.3 Oracle Compatibility

• Package Support for: DBMS_RANDOM

• Package Support for: DBMS_SCHEDULER

• Package Support for: UTL_HTTP

• Package Support for: UTL_URL

• Support for Functions: REGEXP_INSTR and REGEXP_SUBSTR

• Oracle compatible Materialized Views


Partitioning Improvements – Fast pruning


Scale to Larger # of Partitions


Survey: Applications Built on Postgres


Case Studies


Mission Critical 시스템의 쉽고 빠른 마이그레이션, 빠른 응답 속도

사례 : KT 사전 가입 시스템

• KT의 전략 단말인 아이폰 5 예약 판매 수용을 위한 사전 가입 시스템을 오픈 소스 SW로 전환 구축

• 도전 과제

− 높은 응답 속도

− 단기간 마이그레이션

• 도입 결과

− 최대 TPS : 6,200 TPS (예약 판매 시작 후 5분 동안 약 80만 건의 차수 발급이 가능)

− Legacy 증설대비 투자 비용 수십억원 절감 (H/W, S/W 라이선스)

− PPAS DBMS 안정성 및 성능 검증, 확대 도입 기반 마련


고가용성, 개발자 스킬 재사용,

사례 : Sony Online Entertainment

• 미국내 최대 온라인 게임 회사

• 도전 과제

− DB 운영 및 개발 기술의 재사용 가능

− 높은 어플리케이션 이식성 (Oracle 호환성)

− Mission critical 업무의 지원이 가능한 상용 제품 수준의 안정성과 신뢰성

− 확장성 및 높은 응답 속도의 제공

• 도입 효과 − 막대한 금액의 Oracle 라이센스 비용 절감

− 어플리케이션의 80% 이상이 수정없이 전환 가능

− 기존 Oracle DBA의 기술 활용 가능

− 빠른 응답 속도의 보장

− 요구 수준 이내의 failover 수행 완료


The Rise of the Intelligent Economy

“From recession comes an opportunity to reset a number of industry structures…there is an opportunity to infuse

industries with technologies that position them to operate more effectively in the next 50 years.”

Lessons Learned in Building the Intelligent Economy, May 2010

세계 경제 위기로 산업 재편의 기회가 생겼으며, 향후 50년간 내에는 기술을 통해

기업들이 보다 효과적으로 자리 잡을 수 있는 계기가 될 것이다.


새로운 IT Economy에서 Postgres Plus Advanced Server의 역할

The Rise of the Intelligent Economy 연간

IT

투자

예산

전략적 투자

인프라 투자

인프라 투자

전략적 투자

절감된 비용 비용 절감 효과 달성

오픈 소스 DB로 전환

비즈니스 가치 극대화 Open Source based Database


Documents

Introduction of Postgres Plus Advanced Server