Why 12c How and why upgrade now

Why 12cHow and why upgrade now

Andy Cleverly [email protected]

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Andy Cleverly [email protected] Database TechnologyOracle EMEA Technology

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon


commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Oracle Confidential – Internal/Restricted/Highly Restricted 2

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

Oracle 11.1(GA: Aug 2007)

Oracle 11.2(GA: Sep 2009)

Release Roadmap

AUG 2015AUG 2012

JAN 2018JAN 2015

Today


(GA: Sep 2009)

Oracle 12.1(GA: Jun 2013)

Sustaining Support

JAN 2018JAN 2015

JUN 2021JUN 2018

Waived Extended Extended SupportPremier Support

Oracle Database 12c Release 2Targeted for Release 1HCY2016

(MOS Note 742060.1 )

Extended Support for Oracle Database 11.2


Database Patch Set Roadmap• Release Schedule of Current Database Releases MOS Note.742060.1

1x1x 1x1x3x3x


11.1.0.711.2.0.211.2.0.311.2.0.4

12.1.0.2

Oracle Database 12c Release 1 (12.1.0.2)

Oracle Database 12c Overview

Oracle Database In-Memory

Oracle Database 12c for the Developer

1

2

3



Oracle Database 12c for Big Data

Oracle Multitenant

Other Improvements

6

3

4

5

6

Oracle Database 12c (12.1.0.1)

Oracle Multitenant

• Database consolidation

• Fast Provisioning

• Manage many as one

Oracle Automatic Data Optimization


Oracle Automatic Data Optimization

• Smart Compression

• Automate Tiering

Data Guard Far Sync

• Zero data loss over large distances

7

Oracle Database 12c (12.1.0.1)

Application Continuity

• Replay of failed transaction

Data Redaction

• Masks application data dynamically

• Transparent to application


• Transparent to application

Pattern Matching

• Sophisticated inter row pattern analysis

8


Exploit memory to

improve

performance

Simplify access to

Big Data

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 9

Continue to

improve

consolidation

Improve

application

developers

experience





1

2

3




Oracle Multitenant

Other Improvements

10

3

4

5

6

Accelerate OLTPReal Time

Analytics

No Changes to

Applications

Exploit latest

generation

hardware

Oracle Database In-Memory Goals


CPU

Row Format Databases vs. Column Format Databases

Row

� Transactions run faster on row format

– Example: Insert or query a sales order

– Fast processing few rows, many columns

SALES


Until Now Must Choose One Format and Suffer Tradeoffs

Column

� Analytics run faster on column format

– Example : Report on sales totals by region

– Fast accessing few columns, many rows

SALES

12

Oracle In-Memory Columnar Technology

• Pure in-memory column format

• Not persistent, and no logging

• Quick to change data: fast OLTP

2x to 20x compression

Pure In-Memory Columnar


• 2x to 20x compression

• Enabled at table or partition level

• Available on all hardware platforms

13

SALES

Scans Billions of Rows per Second per CPU Core

• Each CPU core scans local in-memory columns

• Scans use fast SIMD vector instructions

CPU

Memory

RE

GIO

N

Example:Find all salesin region of CA


instructions

• Originally designed for graphics & science

• Billions of rows/sec scan rate per CPU core

14

Ve

cto

r R

eg

iste

r

Loadmultipleregion values

VectorCompare all valuesan 1 cycle

CPUCA

CA

CA

CA

> 100x Faster





1

2

3




Oracle Multitenant

Other Improvements

15

3

4

5

6

Oracle Database 12c Release 1 (12.1.0.2)Flexible Schema development

JSON

Oracle Database 12c


JSON

JSONVia RESTful service

Via Native APIsData persisted in database

In JSON

SQL

Data analyzed via SQL

Querying JSON

{

"firstName": "John",“lastName”: "Smith","age": 25,"address": {

select

c.document.firstName,

c.document.lastName,

c.document.address.city,

Simplified

syntax for

simple queries

Sample JSON in column customers.document


"address": {"streetAddress": "21 2nd Street","city": "New York","state": "NY","postalCode": "10021“,"isBusiness" : false},

"phoneNumbers": [{ "type": "home",

"number": "212 555-1234“ },{ "type": "fax",

"number": "646 555-4567“ } ]

}

c.document.address.city,

c.document.phoneNumbers

from customers c;

simple queries

Oracle REST Data ServicesEnabling RESTful access to Oracle Database

• Provides data access consistent with modern App Dev frameworks• Can map standard http(s) URI RESTful gets and posts to SQL

• Can declaratively returns results in JSON format

• JavaScript framework friendly

• Can support high numbers of end users


• Can support high numbers of end users

• Services• HTTP(s) relational data access

• Oracle JSON collection based schemaless access

• Oracle NoSQL access over HTTP

• Oracle APEX mid-tier, web toolkit applications, mod_plsql replacement

• Formally known as Oracle APEX Listener

• Supported feature of the Oracle Database since 2010

• Ships with Oracle Database 12c Release 1 (12.1.0.2)

Oracle REST Data ServicesSchemaless development using JSON Collection API (12.1.0.2)

URI

Oracle REST Data Services

JSON Collection API Auto Generated SQL


• Data stored in Oracle Database as JSON documents

• App Developer make standard HTTP(S) calls to JSON Collection APIs

Oracle DatabaseHTTP(S) client

Transform JSONPass BackJSON

Oracle REST Data Services Serving JSON results from relational data

URI


Map and Bind SQL

Transform SQL Result SetTransform to JSONJSON


Oracle DatabaseHTTP(S) client

Transform SQL Result SetTransform to JSONJSON

� Data stored in standard relational tables and columns

� Oracle REST Data Services (ORDS) Developer defines URI<>SQL mapping

� App Developer calls named URI over HTTP(S) gets and posts

Oracle REST Data ServicesServing JSON results with Oracle NoSQL Database (ORDS 3.1)

URI


NoSQL API Key-Value Lookup


� Oracle REST Data Services provides HTTP(s) access to Oracle NoSQL

� Oracle NoSQL is embedded within ORDS and can also access remote DB

Oracle NoSQL

Database

HTTP(S) client

Transform JSONPass BackJSON





1

2

3




Oracle Multitenant

Other Improvements

23

3

4

5

6

SQL is Critical

“….the complexity of dealing with a non-ACID data store in every part of our business logic would be too great, and there was simply no way our business could function without SQL queries.”

“[Facebook] started in the Hadoopworld. We are now bringing in relational to enhance that. ... [we] realized that using the wrong technology for certain kinds of problems can be difficult.”


our business could function without SQL queries.”

Google, VLDB 2013

technology for certain kinds of problems can be difficult.”

Ken Rudin, Facebook, TDWI 2013

24

http://tdwi.org/articles/2013/05/06/facebooks-relational-platform.aspxhttps://www.linkedin.com/groups/Find-out-why-Google-decided-4434815.S.273792742

Run the Business� Scale-out and scale-up

Relational

Oracle Support for Any Data Management System

Hadoop

Change the Business

� Scale-out, low cost store

NoSQL

Scale the Business



� Scale-out and scale-up

� Collect any data

� SQL

� Transactional and analytic

applications for the enterprise

� Secure and highly available

25


� Collect any data

� Map-reduce, SQL

� Analytic applications


� Collect key-value data

� Find data by key

� Web applications

Overcoming Barriers to Adoption of New Technologies

INTEGRATION SKILLS SECURITY

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Confidential 26

EngineeredSystems

SQL onAll Data

Database Security on

All Data

SQL

Oracle Big Data SQL

One fast SQL query, on all your data.

Oracle SQL on Hadoop and beyond

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Internal/Restricted/Highly Restricted 27

Oracle SQL on Hadoop and beyond

• With a Smart Scan service as in Exadata

• With native SQL operators

• With the security and certainty of Oracle Database

Accessing Big Data Without SQL Push Down

Request for Data

Select w.sess_id,w.cust_id,w.page_id

From web_logs wWhere w.source_country = ‘Brazil’And w.category = ‘TV’And w.channel = ‘Mobile’


Hadoop Cluster

All columns and rows from thetable are returned

100’s of Terabytes of DataWEB_LOGS

Low utilization ofavailable resources

High load ondatabase server

Big Data SQL Push DownWith SQL Push Down

Select w.sess_id,w.cust_id,w.page_id

From web_logs wWhere w.source_country = ‘Brazil’And w.category = ‘TV’And w.channel = ‘Mobile’

SQL shipped to BDA

Big Data SQL Server


WEB_LOGS

10’s of Gigabytes of Data

Only columns and rows needed toanswer query are returned

Good utilization ofavailable resources.SQL executed on Hadoop cluster

Lower load on Server,Faster response

Hadoop Cluster


Select w.sess_id,w.cust_id,w.page_id,c.name

From web_logs w, customers cWhere w.source_country = ‘Brazil’And w.category = ‘TV’And w.channel = ‘Mobile’And c.customer_id = w.cust_id

SQL shipped to BDA

Big Data SQL Server


WEB_LOGS




Data joined betweenCUSTOMERS and

WEB_LOGS on server

Hadoop Cluster

CUSTOMERS


Select w.sess_id,w.cust_id,w.page_id,c.name

From web_logs w, customers cWhere w.source_country = ‘Brazil’And w.category = ‘TV’And w.channel = ‘Mobile’And c.customer_id = w.cust_id

SQL shipped to BDA

Big Data SQL ServerSQL Push Downs supported by Big Data SQL

• Hadoop scans (InputFormat, SerDe)• JSON parsing


WEB_LOGS




Data joined betweenCUSTOMERS and

WEB_LOGS on server

Hadoop Cluster

CUSTOMERS

• Hadoop scans (InputFormat, SerDe)• JSON parsing• WHERE clause evaluation• Column projection• Bloom filters for faster join

New Data Sources for Oracle External Tables

CREATE TABLE web_logs

(click VARCHAR2(4000))

ORGANIZATION EXTERNAL

( TYPE ORACLE_HIVE

DEFAULT DIRECTORY Dir1

ACCESS PARAMETERS

(

• New set of properties

– ORACLE_HIVE and ORACLE_HDFS access drivers

– Identify a Hadoop cluster, data source, column mapping, error handling, overflow handling,


(

com.oracle.bigdata.tablename logs

com.oracle.bigdata.cluster mycluster)

)

REJECT LIMIT UNLIMITED

mapping, error handling, overflow handling, logging

• New table metadata passed from Oracle DDL to Hadoop readers at query execution

• Architected for extensibility

– StorageHandler capability enables future support for other data sources

– Examples: MongoDB, HBase, Oracle NoSQL DB





1

2

3




Oracle Multitenant

Other Improvements

33

3

4

5

6

Oracle MultitenantNew architecture for consolidating databases and simplifying operations

ERP CRM

DW Self-contained PDB for each application• Applications run unchanged

• Rapid provisioning (via clones)

• Portability (via pluggability)

Common operations performed at CDB

level


Shared memory and background

processes• More applications per server

Common operations performed at CDB

level• Manage many as one (upgrade, HA, backup)

• Granular control when appropriate

20

25

Time Taken to Provision New Database

Multitenant Provides Agility for New ProjectsFast Provisioning, Snapshot Clones

OriginalPDB Clone

of PDB

Snapshot Clone of PDB

SeedPDB New PDB

From Seed


0

5

10

15

20

Non CDB PDB Snapshot Clone

35

GL-2GL GL-3

Clone of PDB

New

Multitenant for ProvisioningFast cloning of PDBs

GL-2GL-1 AP-1 AP-2 PO-1

• PDBs can be cloned from

remote CDBs


within the same CDB


GL OE AP PO

remote CDBs

• Thinly provision snapshot

clones in seconds


non-CDBs

Multitenant Cloning – Types and Platforms

Mu

ltit

en

an

t C

lon

ing

Mu

ltit

en

an

t C

lon

ing Full ClonesFull Clones Supported on all platformsSupported on all platforms

Source in Read-only if child exists

Source in Read-only if child exists

File System Agnostic (CloneDB=TRUE)

File System Agnostic (CloneDB=TRUE)

Exadata Sparse clonesExadata Sparse clones

Metadata Only cloneMetadata Only clone

Subset CloneSubset Clone

Flavors Types


Mu

ltit

en

an

t C

lon

ing

Mu

ltit

en

an

t C

lon

ing

Snapshot clonesSnapshot clones

Copy-on-write - Source opened in read write after

clone is created

Copy-on-write - Source opened in read write after

clone is created

ACFSACFS

ZFSSAZFSSA

NetappNetapp

EMCEMC

Snapshot clone syntax:create pluggable database PDB2 from PDB1 snapshot copy

Remote Clone over DB link

Remote Clone over DB link

Copy-on-Write Basics

• File is collection of data blocks

• And headers

• Copy file requires only copy of header

Much more efficient storage of substantially similar filesmy_file


• Copy file requires only copy of header

– Much more efficient storage

– Minimal IO to create copy

• Only copy block when changedmy_file_copy

cp my_file my_file_copy

Multitenant New Features in 12.1.0.2

• Subset by tablespace

• Metadata-only clone

• Remote clone (including snapshots)

• File system-agnostic cloning via dNFS (clonedb = true)

• New SQL clause to aggregate data across PDBs

select ENAME from containers(scott.EMP)where CON_ID in (45, 49);

Cloning

SQL

Cross PDB Queries


dNFS (clonedb = true)

• New “standbys” clause

• (all | none)

• Nologging clause at PDB level

• Flashback data archive

• Temporal SQL Support

• Compatible with DB In-Memory

• Maintains state of PDBs between CDB restarts

39

Cloning Cross PDB Queries

Standby & Logging

PRIMARY STANDBY

AdditionalFeatures





1

2

3




Oracle Multitenant

Other Improvements

40

3

4

5

6

Performance Improvements


Advanced Index Compression

• Compresses indexes to reduce their overall storage requirement

– Less space required on disk

– Better use of the database cache

• Indexes are compressed by between 1 – 3 times


• Indexes are compressed by between 1 – 3 times

• Little or no discernable overhead

• Compression Advisor extended to describe the possible benefits of this feature

Attribute ClusteringOrdering of data so that rows are stored near one another based on column values

• Improved query performance and concurrency

– Reduced physical data access trough smart IO

– Significant IO reduction for highly selective operations

Benefits :


– Significant IO reduction for highly selective operations

• Optimized space utilization

– Less need for indexes

– Improved compression ratios through data clustering

• Full application transparency

– Any application will benefit

43

Zone MapsPersisted storage index

• Stores minimum and maximum of specified columns

• Analogous to a coarse index structure

– Much more compact than an index

– Zone maps filter out what you don’t need, indexes find what you do need

X


– Zone maps filter out what you don’t need, indexes find what you do need

• Significant performance benefits with complete application transparency

– IO reduction for table scans with predicates on the table itself or even a joined table using join zone maps (a.k.a. “hierarchical zone map”)

• Benefits are most significant with ordered data

– Used in combination with attribute clustering or data that is naturally ordered

44

Approximate Count Distinct

• Not every query requires a completely accurate result

– “How many distinct individuals visited our website last week?”

• New SQL function for approximate results for COUNT DISTINCT aggregates

– APPROX_COUNT_DISTINCT()

1,2,3...


– APPROX_COUNT_DISTINCT()

• Approximate results can be significantly faster and use less resources than exact calculations

– 5x to 50x ++ times faster (depending upon number of distinct values and complexity of SQL)

– Accuracy > 97% (with 95% confidence)

45

Rapid Home Provisioning


Oracle Rapid Home ProvisioningInstall Once Use Many

• Patching is complex and time consuming

– Even when automated

• New way to deploy upgrades

– Create reference homes on Centralized Home Server


– Create reference homes on Centralized Home Server

• Apply patches once (Enterprise) on Home Server

• Distribute homes on-demand or policy

– Fast and Efficient

• Rapid distribution (network efficient)

• Space efficient (snapshots)

• Local caches

47

Oracle Rapid Home Provisioning

Oracle Enterprise Manager

Database Cloud

ClusterCluster

Cluster

ClusterNFS Mount

Provisioning

Monitoring and Configuration

Capacity and Resource

Patching

Performance and Tuning

Service Level

Application


Cluster Cluster

Differential Copy

Local Gold Image

S/W Distribution

ServiceCatalog

Grid HomeServer

Application

Database

Grid

Some of Tom Kytes favourite 12c features

More online operations

Easier Reorgs

32k Strings


32k Strings

Application continuity

Adaptive exectution plans

SqlCL ***New***

More Online Operations

• DROP INDEX ONLINE

• DROP CONSTRAINT ONLINE

• SET UNUSED COLUMN ONLINE


• SET UNUSED COLUMN ONLINE

• ALTER INDEX UNUSABLE ONLINE

• ALTER INDEX [VISIBLE | INVISIBLE]

Easier Reorgs

• Move table tablespaces

• Move index tablespaces

• Move lob tablespaces

In a single command you canI


• Move lob tablespaces

• Implement table compression

• Implement index key compression

• Implement lob compression

• Convert to securelfile

Easier Reorgs

ops$tkyte%ORA12CR1> begin2 dbms_redefinition.redef_table3 ( uname => user,4 tname => 'T',5 table_compression_type => 'row store compress advanced',6 table_part_tablespace => 'TEST' );7 end;8 /


8 /

PL/SQL procedure successfully completed.

32k Strings

• Varchar2, NVarchar2 and Raw datatypes may be upto 32k in size, like in PL/SQL

• Compatible = 12.0.0.0 or higher


• Max_String_Size init.ora set to EXTENDED (default is not this)

• Not supported in clustered and index organized tables

• Will be stored out of line (LOB) but work just like long strings to your program

Transaction GuardFIRST RDBMS to preserve COMMIT outcome

• Known outcome for every

transaction

• At-most-once transaction execution

• Used by Application Continuity

• Available for JDBC-thin, OCI, OCCI,

1. Request

2. Calls

5. Guaranteed Outcome


• Available for JDBC-thin, OCI, OCCI,

ODP.net

Without Transaction Guard, retries

can cause logical corruption

Oracle Database 12c Release 1

2. Calls

3. FAN or errors

4. Enforce Outcome

54

Application ContinuityFirst RDBMS to mask planned/unplanned outages

• Improves end user experience

• Improves developer productivity

• Application transparent when

using Oracle stack

1. Request

2. Calls

5. Success


using Oracle stack

• Enabled with WebLogic Server,

Peoplesoft, Fusion Apps,

Siebel(possibly)

2. Calls

4. Replay

Oracle Database 12c Release 1

3. FAN or errors

Adaptive Execution Plans

HJ

Table scan

T2

Table scan

T1

NL

Index Scan

T2

Threshold exceeded, plan switches

Table scan

T1

HJ

Table scan

T2

� Plan decision deferred until

runtime

� Final decision is based on

statistics collected during

execution

If statistics prove to be out of


T1 T2

� If statistics prove to be out of

range, sub-plans can be swapped

� Bad effects of skew eliminated

� We release Oracle Database version 5

� The client-server model is born

� And a little program makes it debutIwith roots going back to 1982

Time to turn back the clock a bit…to 1985


SQL*Plus?

Statement completion?


Statement completion?

SqlCL

SQL History?


SQL History?

SqlCL

Upgrade/Migrate Older Oracle Releases

Oracle 8i

Less

Downtime?

Oracle 5/6/7/8Near-Zero

Downtime?

exp/imp

Transportable


Oracle 9i

Oracle 10.1

Oracle 9.2

Transportable

TablespacesSame platform only Golden Gate+

Upgrade Options to Oracle Database 12c

Oracle 11.1

Less

Downtime?Oracle 10.2

Near-Zero

Downtime?

Logical

StandbyGolden

+

Transient

Standby

expdp/impdp

catctl.pl

DBUA HWHW


Oracle 11.2.0.2

Oracle 11.2.0.3/4

Transportable

Tablespaces

StandbyGolden

Gate+

Full Transportable

Export/Import

RMAN Inc

Bck+

catctl.pl

Migration Options to Oracle Database 12c

Oracle 11.1

Less

Downtime?Oracle 10.2

Near-Zero

Downtime?

Golden +

expdp/impdp

SQL*Loader

CTAS, COPY


Oracle 11.2.0.1/2

Oracle 11.2.0.3/4

Golden

Gate+

Full Transportable

Export/Import

RMAN Inc

Bck+

Transportable

Tablespaces

Transportable

Tablespaces

SQL*Loader

TDB Only same

Endianness

Concept Transportable Tablespaces

expdp "'"sys/sys as sysdba"'" …

TRANSPORT_TABLESPACES=TS1,TS2 …

impdpimpdp "'"sys/sys as "'"sys/sys as sysdbasysdba"'"… "'"…

TRANSPORT_DATAFILES=…TRANSPORT_DATAFILES=…

• TTS feature available since Oracle 8i

• Cross platform support since Oracle 10g


Oracle 10.2.0.4IBM AIX

48 hrs

75TB

Oracle 11.2.0.4OL5.8 64bit

75TB

Self Contained?

Read Only

Read Write

Concept Transportable Tablespaces xTTS

LITTLE ENDIAN PLATFORMS

HP IA Open VMSHP Open VMS BIG ENDIAN PLATFORMS

• Cross platform support– V$TRANSPORTABLE_PLATFORM


HP Open VMSHP Tru64 UNIX

Linux IA (32-bit)Linux IA (64-bit)Linux x86 64-bit

Microsoft Windows IA (64-bit)Microsoft Windows x86 64-bitMicrosoft Windows IA (32-bit)

Solaris Operating System (x86)

Solaris Operating System (x86-64)

BIG ENDIAN PLATFORMS

Apple Mac OS

HP-UX (64-bit)HP-UX IA (64-bit)

AIX-Based Systems (64-bit)IBM zSeries Based LinuxIBM Power Based Linux

Solaris[tm] OE (32-bit)Solaris[tm] OE (64-bit)

FILE

COPY

RMANRMAN

CONVERTCONVERT FILE

COPY

Upgrade/Migration: Transportable Tablespaces

DESTINATION Database 11.2.0.4SOURCE Database 10.2.0.4

Rebuild meta information(views, synonyms, trigger, roles etc)


DESTINATION Database 11.2.0.4

SYSTEM

SYSAUX

UNDO

TEMP

SCOT

T

HUGO

VIEWSVIEWS

CODECODE

PRIVSPRIVS

SOURCE Database 10.2.0.4

SYSTEM

SYSAUX

UNDO

TEMP

SCOT

T

HUGO

VIEWSVIEWS

CODECODE

PRIVSPRIVS

Read Only

Speed Up Transportable Tablespaces

• Usually the biggest pain points with TTS

– Downtime due to:

• Duration to copy very large amounts of data

• Duration to convert many tablespaces cross Endianness

New technique: Avoid the copy & convert phase


• New technique: Avoid the copy & convert phase

– RMAN can convert incremental backups cross platform

• Available since Oracle 11.2.0.3 for Exadata only

• Available for Linux x86-64 with Oracle 11.2.0.4

• Available on all platforms starting with Oracle 12c

• See MOS Note:1389592.1 for description and Linux perl scripts

Transportable Tablespace with Incremental Backups


Convert and apply Convert and apply

backupsbackups

expdp "'"sys/sys as sysdba"'" …

TRANSPORT_TABLESPACES=TS1,TS2 …

impdpimpdp "'"sys/sys as "'"sys/sys as sysdbasysdba"'"… "'"…

TRANSPORT_DATAFILES=…TRANSPORT_DATAFILES=…

Downtime!!!



SCOT

T

HUGO


VIEWSVIEWS

CODECODE

PRIVSPRIVS

SCOT

T

HUGO

SYSTEM

SYSAUX

UNDOTEMP

SYSTEM

SYSAUX

UNDOTEMP

VIEWSVIEWS

CODECODE

PRIVSPRIVS

Data Pump

Read Only

Read Write

Full Transportable Export/Import

• Combining:

– Transportable Tablespaces with

– Data Pump taking care of all meta information with optional

– RMAN incremental backups to decrease downtime

• One Command Migrationimpdp … VERSION=12 FULL=Y TRANSPORTABLE=ALWAYS …


• One Command Migration

• This works:

– Cross platform

– With or without Oracle Multitenant

– Source can be Oracle 11.2.0.3/4 or newer

– Target must be at least Oracle 12.1.0.1

impdp … VERSION=12 FULL=Y TRANSPORTABLE=ALWAYS …

Full Transportable Export/Import with Copies




SCOT

T

HUGO


VIEWSVIEWS

CODECODE

PRIVSPRIVS

SCOT

T

HUGO

SYSTEM

SYSAUX

UNDO

TEMP

SYSTEM

SYSAUX

UNDO

TEMP

VIEWSVIEWS

CODECODE

PRIVSPRIVS

Data Pump

Read Only

Full Transportable Export/Import with Backups


Convert and apply Convert and apply

backupsbackups



SCOT

T

HUGO


VIEWSVIEWS

CODECODE

PRIVSPRIVS

SCOT

T

HUGO

SYSTEM

SYSAUX

UNDOTEMP

SYSTEM

SYSAUX

UNDOTEMP

VIEWSVIEWS

CODECODE

PRIVSPRIVS

Data Pump

Read Only

Summary

• Oracle Database 12c (12.1.0.2) will have premier support into 2018

• Upgrading to Oracle Database 12c gets you lots of new features

• Oracle Database 12c is stable and in production at customers worldwide


Resources

• Download slides from:

–http://blogs.oracle.com/UPGRADE


Oracle Database 12c New Features Guide

• http://docs.oracle.com/cd/E16655_01/server.121/e17906/toc.htm


Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Internal/Restricted/Highly Restricted 74

Why 12c How and why upgrade now

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