The AskTOM Archive - selected presentations from Tom Kyte from Oracle 2000-2015

1. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted1

2. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted2
What I learned at Oracle Open
World 2012
Thomas Kyte
http://asktom.oracle.com

3. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted8
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 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. Release timing for
Oracle Database 12c is planned for Calendar Year 2013.

4. The Beginning...
• Data Model with Structure
• Data Independent of Code
• Set-oriented
• 1977 the work begins

5. First RDBMS: Version 2
June 1979
• FIRST Commercial SQL RDBMS
• Impressive First SQL
• Joins, Subqueries
• Outer Joins, Connect By
• A Simple Server
• No transactions, ‘Limited’ Reliability
• Portability from the Start
• Written in pdp11 assembler, some ‘C’
• But multi-platform – PDP11, Dec VAX

6. Portability: Version 3
March 1983
• New Implementation Designed for Portability
• Written in ‘C’
• Single Source
• Architectural Changes
• Transactions, multi-versioning, no read consistency
• AI/BI files
• Oracle Corporation – name established

8. Cooperative Server: Version 5
April 1985
• My First Oracle Experience
• 1st Client/Server
• Cooperative Server
• Distributed Processing
• Parallel Server
• Portability
• V5 was first to go beyond 640K memory on PCs
• Single-user for Macintosh o/s
• SQL_TRACE
• select trace('sql',1),1 from dual;

9. Transaction Processing: Version 6
July 1988
• New Architecture
• Performance (first SMP)
• Availability
• TPO
• PL/SQL
• V6 Lays Architectural Groundwork for the Future
• This was a rewrite of the entire database fundamentally

10. Oracle7.3
February 1996
• Partitioned Views
• Bitmapped Indexes
• Asynchronous read ahead for table
scans
• Standby Database
• Deferred transaction recovery on
instance startup
• Updatable Join View
• SQLDBA no longer shipped.
• Index rebuilds
• DBV introduced
• Context Option
• PL/SQL - UTL_FILE
 Spatial Data Option
 Tablespaces changes - Coalesce,
Temporary Permanent,
 Trigger compilation, debug
 Unlimited extents on STORAGE clause.
 Some init.ora parameters modifiable -
TIMED_STATISTICS
 HASH Joins, Antijoins
 Histograms
 Oracle Trace
 Advanced Replication Object Groups

13. Data Warehouses Growing Rapidly
Tripling In Size Every Two Years
Source: Winter TopTen Survey, Winter Corporation, Waltham MA, 2008.
200
400
600
800
1000
1998 2000 2002 2004 2006 2008 2010 2012
TerabytesofData
Size of the Largest Data Warehouses

14. Enabling the Private Database Cloud
Years of continuous Oracle innovation
Oracle Database 10g
Oracle Database 11g
Oracle Exadata
Oracle9i Database
Real Application Clusters
Database Services
CPU Resource Management
Automatic Storage Management
Dynamic Database Services
Instance caging
I/O resource management
Server Pools
Quality of Service Management
InfiniBand support
Smart Scans
Smart Flash Cache
Hybrid Columnar Compression
© 2011 Oracle Corporation

15. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted20
Major Database Focus Areas
ENGINEERED
SYSTEMS
BIG
DATA
SOCIAL
BLOG
SMART
METER
101100101001
001001101010
101011100101
010100100101
CLOUD
COMPUTING

16. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted21
Consolidating Databases
v
Challenge #1

17. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted22
Database Consolidation Challenges
Reduce the
number of separate
databases
Reduce ITcosts by
consolidating more
servers
Keep database
applications isolated
and unchanged

18. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted23
Oracle Database Architecture
Requires memory, processes and database files
ERP
Database
Files
Background
Processes
Memory
Utilized

19. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted24
Oracle Database Architecture
Separate memory and processes required for each database
ERP
Database
Files
Memory
Utilized
Background
Processes
CRM
Database
Files
Background
Processes
Memory
Utilized
DW
Database
Files
Background
Processes
Memory
Utilized

20. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted25
New Pluggable Database Architecture
ERP
Database
Files
Memory
Utilized
Background
Processes
CRM
Database
Files
Memory
Utilized
Background
Processes
DW
Database
Files
Memory
Utilized
Background
Processes
Memory and processes required at container level only

21. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted26
New Pluggable Database Architecture
Memory and processes required at container level only
ERP CRM DW
Background
Processes
Memory
Utilized
Container Database

22. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted27
Consolidating Older Databases
Step1: Upgrade databases in-place
11.1
CRM
10.2
ERP
11.2
DW
12.1
ERP
12.1
CRM
12.1
DW
Upgrade
in-place
Background
Processes
Memory
Utilized
Container Database

23. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted28
Consolidating Older Databases
Step2: Plug-in upgraded databases
12.1
ERP
12.1
CRM
12.1
DW
Background
Processes
Memory
Utilized
12.1
ERP
12.1
CRM
12.1
DW
Container Database

24. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted29
Background
Processes
Memory
Utilized
Oracle Pluggable Databases
Step1: Create empty databases for consolidation
ERP CRM DW
Container Database

25. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted30
Background
Processes
Memory
Utilized
Consolidating Older Databases
Step2: Use Data Pump or GoldenGate to move database
ERP CRM DW
Data Pump or GoldenGate
10.2
ERP
11.1
CRM
11.2
DW
12.1
ERP
12.1
CRM
12.1
DW
Container Database

26. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted31
OLTP benchmark comparison
Only 3GB of memory vs. 20GB
memory used for 50 databases
Pluggable databases scaled to
over 250 while separate
database instances maxed at 50
Pluggable Databases vs Separate Databases
Highly Efficient: 6x Less H/W Resource, 5x more Scalable

27. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted32
Managing Shared Resources
Resource management for Pluggable Databases
12.1
DW
Container Database (12.1)
ERP CRM DW
Top Priority Low PriorityMedium Priority

28. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted33
Simplify Patching and Upgrades
Apply changes once, all Pluggable Databases updated
Upgrade
in-place
12.1
ERP
12.1
DW
12.1
CRM
12.x
ERP
12.1
DW
Container Database
12.x
CRM
12.x
DW

29. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted34
Unplug and Plug Databases as Required
Flexible choice when patching & upgrading databases
12.1
ERP
12.1
CRM
12.1
DW
12.1
CRM
12.1
DW
Original Container Database (12.1)
12.x
CRM
12.x
DW
Upgraded Container Database (12.x)

30. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted35
DWCRM
Manage Many as One
Backup Databases as One; Recover at Pluggable Database Level
ERP
Point-in-time recovery
at Pluggable Database level
One Backup
Production Container Database

31. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted36
DWCRM
Manage Many as One
One Standby Database covers all Pluggable Databases
ERP HCM
Production Container Database
DWCRMERP HCM
Standby Container Database

32. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted37
ERP
Dev
Copy
Cloning Databases for Test, Development
Fast, flexible copy and snapshot of pluggable databases
ERP DWCRM
Production Container Database
ERP
Test
Copy
ERP
Test
Copy
Development Container Database

33. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted38
Pluggable Databases are Perfect for SaaS
Each customer’s data in private Pluggable Database
Customer
1
Customer
2
Customer
3
Customer
4
Customer
5
Customer
N
Container Database

34. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted39
Isolation and multitenancy
Fast provisioning and cloning
Secure and highly available
No application changes
Manage many as one
Greater resource utilization
Performant and scalable
Lower IT costs
Oracle Pluggable Databases
New architecture for consolidating databases on Clouds
ERP CRM DW
Container Database

35. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted40
Lowering Storage Costs
v
Challenge #2

36. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted41
Managing Storage Challenges
Compress data,
without impacting
performance
Manage more data
without incurring
additional cost
Tier and
compress data
based on usage

37. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted42
Data Compression
Reduce storage footprint, read compressed data faster
Hot Data
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted42
111010101010101
001101010101011
010001011011000
110100101000001
001110001010101
101001011010010
110001010010011
111001001000010
001010101101000
10101010111010100110101
11000010100010110111010
10100101001001000010001
01010110100101101001110
00010100100101000010010
00010001010101110011010
Warm Data
101010101110101
001101011100001
010001011011101
010100101001001
000010001010101
101001011010011
100001010010010
100001001000010
001010101101001
10101010111010100110101110000101000101
10111010101001010010010000100010101011
01001011010011100001010010010100001001
00001000101010111001101110011000111010
Archive Data
101010101110101
001101011100001
010001011011101
010100101001001
000010001010101
101001011010011
100001010010010
100001001000010
001010101101001
10101010111010100110101110000101000101101110101
01001010010010000100010101011010010110100111000
01010010010100001001000010001010101110011011100
3X
Advanced Row Compression
10X
Columnar Query Compression
15X
Columnar Archive Compression

38. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted43
Understanding Data Usage Patterns
Database ‘heat map’
10 0111 10 10 0111 101 1
00 0101 10 10 0101 10
0 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
10 0100 11 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0110 11 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0
10 0111 10 10 0111 100 0
1 1
1 1
10 0100 11 10 0111 100 0
10 0100 11 10 0111 10
10 0111 10 10 0111 10
10 0100 11 10 0111 100 0
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
10 0100 11 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0
10 0111 10 10 0111 100 010 0111 10 10 0111 100 0
10 0110 11 10 0111 100 0
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0

39. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted44
Understanding Data Usage Patterns
Database ‘heat map’
10 0111 10 10 0111 101 1
00 0101 10 10 0101 10
0 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
10 0100 11 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0110 11 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0
10 0111 10 10 0111 100 0
1 1
1 1
10 0100 11 10 0111 100 0
10 0100 11 10 0111 10
10 0111 10 10 0111 10
10 0100 11 10 0111 100 0
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
10 0100 11 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
00 0101 10 10 0101 101 1
10 0111 10 10 0111 100 0
10 0101 10 10 0101 001 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 00 0111 001 1
01 0101 10 00 0101 101 1
10 0100 11 10 0111 100 0
10 0111 10 10 0111 100 0
10 0111 00 00 0111 100 1
00 0101 10 10 0101 101 1
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0
10 0111 10 10 0111 100 010 0111 10 10 0111 100 0
10 0110 11 10 0111 100 0
10 0100 11 10 0111 100 0
10 0111 11 10 0111 100 0
10 0111 10 10 0111 101 1
10 0110 11 10 0111 100 0

40. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted45
0101101110101010010100100100001000
1010101101001011010011100001010010
Archive Data
011100001010001011011
101010100101001001000
010001010101101001011
010101001010010010001
Automatic Data Optimization
Usage based data compression
Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted45
Hot Data
3X
Advanced Row Compression
Warm Data
1010101011101010011010111000010100
0101101110101010010100100100001000
1010101101001011010011100001010010
0101000010010000100010101011010010
10X
Columnar Query Compression
1000010100100101001010110111000010
101010101110101001101011100001010001011011
101010100101001001000010001010101101001011
010011100001010010010100001001000010001010
101010101110101001101011100001010001011011
15X
Columnar Archive Compression
01110101010010
10000100010101
01011100001010
10101010111010100110101
11000010100010110111010
10100101001001000010001
01010110100101101001110
00010100100101000010010
00010001010101110011010
10100101001001000010001
1110010100100101001010110111011010
101010101110101001101011100001011101011001

41. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted46
Redacting Data
v
Challenge #3

42. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted48
Redacting Data Challenges
Redact data in
applications,
queries and reports
Secure sensitive
personal
information
Avoid changing
applications,
queries and reports

43. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted49
Soc. Sec. #
115-69-3428
DOB
11/06/71
PIN
5623
Policy
enforced
redaction of
sensitive data
Redacting Sensitive Data
Mask Application Data Dynamically
Call Center
Operator
Payroll
Processing

44. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted50
Faster Performance
Database
Creation
Up to 1000x
faster
Database
Upgrade
Up to 40%
faster
Asynchronous
Global Indexes
Instant partition
maintenance
Adaptive Query
Optimization
Up to 6x faster
Materialized
View Refresh
Up to 5x faster
Parallel
Execution
Up to 4x faster
Spatial Queries
Up to 40x faster
Network
Encryption
Up to 10x faster
Large Parallel
Sorts
Up to 2x faster
Parallel
Union All
Up to 4x faster
String operations
in PL/SQL
Up to 30x faster
Auditing
Up to 5x faster

45. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted51
#4 Easy Top-N and
pagination queries

46. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted52
#5 Row Pattern
Matching

47. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted53
Row Pattern Matching
c##tkyte%CDB1> create table stocks
2 ( symbol varchar2(10),
3 tstamp date,
4 price number,
5 primary key (symbol,tstamp)
6 )
7 organization index
8 /
Table created.

48. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted54
Row Pattern Matching
c##tkyte%CDB1> declare
2 l_data sys.odciNumberList :=
3 sys.odciNumberList
4 ( 35, 34, 33, 34, 35, 36,
5 37, 36, 35, 34, 35, 36, 37 );
6 l_cnt number := l_data.count;
7 begin
8 for i in 1 .. l_cnt
9 loop
10 insert into stocks
11 ( symbol, tstamp, price )
12 values
13 ('ORCL', sysdate-l_cnt+i, l_data(i) );
14 end loop;
15 commit;
16 end;
17 /
PL/SQL procedure successfully completed.

49. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted55
Row Pattern Matching
c##tkyte%CDB1> select symbol, tstamp, price,
2 rpad('*',price,'*') hist
3 from stocks
4 order by symbol, tstamp;
SYMBOL TSTAMP PRICE HIST
---------- --------- ---------- ----------------------------------------
ORCL 01-SEP-12 35 ***********************************
ORCL 02-SEP-12 34 **********************************
ORCL 03-SEP-12 33 *********************************
ORCL 04-SEP-12 34 **********************************
ORCL 05-SEP-12 35 ***********************************
ORCL 06-SEP-12 36 ************************************
ORCL 07-SEP-12 37 *************************************
ORCL 08-SEP-12 36 ************************************
ORCL 09-SEP-12 35 ***********************************
ORCL 10-SEP-12 34 **********************************
ORCL 11-SEP-12 35 ***********************************
ORCL 12-SEP-12 36 ************************************
ORCL 13-SEP-12 37 *************************************
13 rows selected.

50. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted56
Row Pattern Matching
c##tkyte%CDB1> SELECT *
2 FROM stocks MATCH_RECOGNIZE
3 ( PARTITION BY symbol
4 ORDER BY tstamp
5 MEASURES
6 STRT.tstamp AS start_tstamp,
7 LAST(DOWN.tstamp) AS bottom_tstamp,
8 LAST(UP.tstamp) AS end_tstamp
9 ONE ROW PER MATCH
10 AFTER MATCH SKIP TO LAST UP
11 PATTERN (STRT DOWN+ UP+)
12 DEFINE
13 DOWN AS DOWN.price < PREV(DOWN.price),
14 UP AS UP.price > PREV(UP.price)
15 ) MR
16 ORDER BY MR.symbol, MR.start_tstamp;
SYMBOL START_TST BOTTOM_TS END_TSTAM
---------- --------- --------- ---------
ORCL 01-SEP-12 03-SEP-12 07-SEP-12
ORCL 07-SEP-12 10-SEP-12 13-SEP-12
SYMBOL TSTAMP PRICE HIST
---------- --------- ---------- ----------------------------------------
ORCL 01-SEP-12 35 ***********************************
ORCL 02-SEP-12 34 **********************************
ORCL 03-SEP-12 33 *********************************
ORCL 04-SEP-12 34 **********************************
ORCL 05-SEP-12 35 ***********************************
ORCL 06-SEP-12 36 ************************************
ORCL 07-SEP-12 37 *************************************
ORCL 08-SEP-12 36 ************************************
ORCL 09-SEP-12 35 ***********************************
ORCL 10-SEP-12 34 **********************************
ORCL 11-SEP-12 35 ***********************************
ORCL 12-SEP-12 36 ************************************
ORCL 13-SEP-12 37 *************************************
13 rows selected.

51. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted57
#6 Partitioning
Improvements

52. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted58
Partitioning Improvements
 *Asynchronous Global Index Maintenance for DROP and TRUNCATE
partition
 Cascade Functionality for TRUCATE and EXCHANGE partition
 Multiple partition operations in a single DDL
 Online move of a partition (without DBMS_REDEFINITION)
 *Interval + Reference partitioning

53. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted59
#7 Adaptive
Execution Plans

54. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted60
#9 Temporary
UNDO

55. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted61
#11 Application
Continuity

56. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted62
Transaction Guard
FIRST 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, ODP.net
Without Transaction Guard, retries
can cause logical corruption
Oracle Database 12c Release 1
1. Request
2. Calls
5. Guaranteed Outcome
3. FAN or errors
4. Enforce Outcome
62

57. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted63
Application Continuity
First RDBMS to mask planned/unplanned outages
• Improves end user experience
• Improves developer productivity
• Application transparent when
using Oracle stack
• Enabled with WebLogic Server,
Peoplesoft, Fusion Apps,
Siebel(possibly)
1. Request
2. Calls
5. Success
4. Replay
Oracle Database 12c Release 1
3. FAN or errors

58. Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Restricted64
The preceding is intended to outline our general product
direction. It is intended for information purposes only, and may
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 I have a very busy OLTP Ecommerce database that contains thousands of
identical schemas with the same tables defined in each. The Java code
prepends the owning schema to every SQL statement, which in itself leads to
lots of identical SQL statements and high parsing. My questions are …
 1) Even if the code did not prepend the table owner to each statement,
would we still not have high parsing simply because the objects being
referenced are in different schemas ?
 2) Not being able to change the data model or how the code accesses
same, what can we do to address high parsing in this case ? This is an
11gR2 database and we’re using cursor_sharing=similar and have already
increased shared_pool and session_cached_cursors. Have considered
setting cursor_sharing = exact or force but don’t really have a good way to
test before doing it.