Oracle Confidential – Highly Restricted1. Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Safe Harbor Statement The following is

Oracle Confidential – Highly Restricted 1

Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Highly Restricted 2

Safe Harbor StatementThe 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.

Essbase and ExalyticsSubtitle

Kumar RamiayerSr. Director Essbase Development

Steve LiebermenschDirector, Product Management – Essbase

October 2, 2014

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

Copyright © 2014, Oracle and/or its affiliates. All rights reserved. | 4

Introducing X4-4Subject to Change

• New Intel Processor – Designed for Oracle– Intel Xeon E7-8895 v2 – 60 Cores (4*15)– Up to 1.8X throughput increase with the same software configuration

• Clock Speed range between 2.8 - 3.6GHz– Manually controlled or automated

• Memory and disk resources identical to X3-4– 2 TB Memory, 2.4 TB Flash storage

10 20 30 40 50 600.00

5.00

10.00

15.00

20.00

25.00

30.00

2.8 GHz TPS WSM 2.26GHz


Exalytics X4-4• Uses “Designed for Oracle” Intel Processor – E7-8895 v2

– An “All-In-One” CPU - Another major step for Exalytics as an Engineered Systems

• Has as much capacity as the largest E7 Processor (15C)– Larger scalability and consolidation

• Runs Faster than any other Intel 4 Socket Processor (3.6 GHz)– Faster single threaded performance for Essbase

• Addresses key Exalytics use cases– When high scalability is required, opt for more cores with

reduced clock speed– When running batch processes with limited parallelism,

opt for less cores with higher clock speed15C 155W2.8GHz 37.5M

E7-8890 v2

10C 155W3.2GHz 37.5M

6C 155W3.4GHz 37.5M

E7-8891 v2 E7-8893 v2

15C 10C 6C 155W2.8GHz 3.2GHz 3.4GHz max Turbo Freq 3.6GHz 37.5M

E7-8895 v2


Exalytics Hardware Updates

Exalytics X3-42TB RAM, 2.4TB Flash

Exalytics X2-41TB RAM, 40 cores

Q1FY14 Q2FY14 Q3FY14 Q4FY14 Q1FY15

Exalytics T5-8, Sparc4TB RAM, 128 cores

Exalytics X4-42TB RAM, 60 cores

Q1FY15

PS5PS3 PS4

6

7Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |

Software Updates


Oracle 12c DBIM on Exalytics


Oracle Database In-Memory and Exalytics

+ =Awesome In-Memory

HardwareAwesome In-Memory

DatabaseAnalyticsNirvana

Exalytics is the Fast Path to trying out DB 12c In-Memory Option


12c DB In-Memory Option Certification on Exalytics• Oracle Database and In-memory Option

– Installation on Exalytics– OBIEE 11.1.1.7 certification for 12c

• Summary Advisor• Aggregate Persistence• As a regular data source

• “In-memory Data Mart”• TimesTen in offered parallel to 12c IMDB


HFM Certification• HFM on Linux is coming with EPM PS4 • Certified to run on Exalytics

– Both bare metal and OVM configurations


Essbase Enhancements• Essbase becomes “Pure” in-memory engine as calculation will no

longer wait for I/O (background write)• In-Memory Aggregate Views for ASO • Improved Resource management and CPU utilization

– Thread management and thread based memory allocation– Fundamental improvement to Essbase infrastructure, will impact resource

consumption, stability and performance.

• Leverage X4-4 capabilities by improving scalability


Essbase Performance TPS Scalability Testing• Identical version of Essbase

– Based on an Hyperion Planning customer use case (BSO)

Exalytics X4 vs. X3

X3

X4

X3

X4

X3

X4

Exalytics X4 vs. X3


Exalytics T5-8 PerformanceSoftware/Hardware Optimizations

Script 1 Script 2 Script 3 Script 4 Script 5 Script 6 Script 7 Script 8 Script 9 Script 100

100

200

300

400

500

600

700

800

900

1000

1100

-10%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

65%

4%-2%

62%

82%

20%

-4%

70%

35%

57%

SPARC Exalytics – Essbase Calculations in Seconds

11.1.2.3.500 Upcoming Improvement %


Exalytics T5-8 PerformanceSoftware/Hardware Optimizations

FIXP32 CALP320

100

200

300

400

500

600

700

800

53%

54%

55%

56%

57%

58%

59%

60%

56%

59%

Exalytics T5-8 – Essbase Calculations in Seconds

11.1.2.3.500 Upcoming Improvement %

16Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |

Customer Results


Why Exalytics• Pure performance

– Improve the uptime of my system– Increase the volume of data I can process during my update window– Allow users to iterate more times– Allow users to iterate over more data

• Total Cost of Ownership– Server consolidation– Reduced deployment time


Hyperion Performance with ExalyticsExamples of high performance gains with X improvement factor

Operation Artifact DB Current time Exalytics Desired X Factor

Calc Script TFCCalc1 Fin 8.0 1.2 7

Restructure Fin 120.0 6.4 10 19

Export Fin 12.0 2.8 4

Restructure Fin 480.0 15.2 10 32

Calc Script AggFocus Fin 0.7 0.1 0 13

Calc Script TCalcFC Cap 45.0 8.2 6

Calc Script TFCAgg WrkF 45.0 15.8 3

Calc Script ISAGGAll Fin 120.0 4.7 25

Calc Script CvAggall Cap 180.0 14.7 12

Calc Script WfAggAll WrkF 600.0 22.3 27


Hyperion Performance with ExalyticsSelected examples of high performance gains

Current Exalytics X improvement

Total Process 8.65 5.59 1.55

AggLMAct 6.26 .73 8.56

AggLM 19.28 2.32 8.31Clear Upper Blocks

Calc 17.21 14.51 1.4

Restructure 2.17 .72 3.02

MyAggAll 20.00 11.08 1.81

Note: Total Process is in hours; all other times are minutes.


Exalytics POC ResultsScenario # 6 – Query Testing

Single Query Current Exalytics X factor % Improve

France Unit 46.7 5.6 8.3 87.9%

North America Cons 21.4 17.9 1.2 16.5%

Global Cons

127.0 125.1 1.0 1.5%

Mexico Cons 59.0 36.0 1.6 39.0%

Avg 25 Current Exalytics X factor % Improve

France Unit 82.6 18.0 4.6 78.2%


Global Cons

567.0 157.0 3.6 72.3%

Mexico Cons 95.0 54.0 1.8 43.2%

Longest 25 Current Exalytics X factor % Improve

France Unit 97.1 19.3 5.0 80.1%


Global Cons

768.0 162.0 4.7 78.9%

Mexico Cons

126.0 60.0 2.1 52.4%

-

20.0

40.0

60.0

80.0

100.0

120.0

140.0

-

100.0

200.0

300.0

400.0

500.0

600.0

- 100.0 200.0 300.0 400.0 500.0 600.0 700.0 800.0 900.0


Exalytics POC ResultsScenario # Load / Concurrency Operation Type Notes on settings/fix

statements/special cases, etc…Current time (hh:mm:ss) Exalytics (hh:mm) x Faster % Improve

1 1 Cube Aggregation

Aggregation process based on query tracking (based on 8 queries)

0:0:35 0:0:13 2.7 62.9%

2 11 cube Rebuild Build/DataLoadLaunch 11 Rebuilds from the LaunchPad

0:41:19 0:24:54 1.7 39.7%


2:20:33 1:29:08 1.6 36.6%


2:46:37 1:34:26 1.8 43.3%

5 5 Cube AggregationAggregation based on size (200% growth factor)

1:41:57 1:14:08 1.4 27.3%

5a 20 cube AggregationAggregation based on size (200% growth factor)

1:53:54 1:12:46 1.6 36.1%

1 2 3 4 5 5a0

2000

4000

6000

8000

10000

12000

Current timeExalytics


Exalytics vs. ExalyticsSPARC vs. Linux or T vs. X

X series T series

Linux Solaris

60 core Intel 128 core SPARC

2TB RAM 4TB RAM

3.6GHz max speed 3.6GHz

2 IB, 4 10GBE, 2 16GB FC 4 IB, 4 10GBE, 4 8GB FC

2.4 TB Flash 6.4 TB Flash

Platform specific optimizations

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Design Ethos


Developing Software for Exalytics• Exalytics first

– In place block writes

• Exalytics restricted– FixParallel

• Exalytics only– Chip/OS based optimizations


Engineering for Exalytics – Large Memory Challenge

Platform and processor

Number of Sockets

Memory Speed (MHz)

Local Memory (ns)

1-HOP remote (ns)

2-HOP remote (ns)

2S WSM-EP 3.3GHz

2 1333 72 119 NA

4S WSM-EX 2.4GHz

4 1067 117 176 NA

8S WSM-EX 2.4GHz

8 1067 162 193 235

2S SNB-EP 2.9GHz

2 1600 76 126 NA

4S SNB-EP 2.7GHz

4 1033 87 152 204

Socket S1

10 cores with L1 and L2 cache

250 GB Memory

Socket S1


250 GB Memory

Socket S1


250 GB Memory

Socket S1


250 GB Memory

Memory

CPU

CPU

CPU

CPU

CPU

CPU

SMP

syst

ems

Mul

ti-So

cket

Lar

ge M

emor

y N

UM

A sy

stem

• Symmetric Multi-processing (SMP) System guarantees uniform memory latency for all CPU, but total memory is limited

• Multi-socket systems are needed for supporting large memory, but the memory latency is not uniform

• Complexity shifts from hardware to software• In-memory analytics require all data in memory for processing

• How does the software utilize all the memory but all work faster?


Engineering for Exalytics – NUMA Challenges• Two engineering solutions

– Use local socket memory in “critical parts of the software” by using thread affinity– Use padding to avoid false sharing – align important memory structures to cache lines

• Example -- use thread-affinity below to pin thread to a socket

// Suppose thread is scheduled initially in Socket S1. Now memory gets allocated in Socket S1

int * p = (int*)malloc(1024*sizeof(int));

// Compute p[i] and store value in memory – latency 117 ns

p[i] = a * b + 43

// perform I/O – thread yields

Read_From_Disk_Storage(24);

// Now do computation. Thread wakes up – but in a CPU that belongs to different socket – S2

// Accessing memory p[i] is now “remote” and it costs 176 ns

T = p[i] * 32;

// Insert the following code before I/O to // pin the thread to current CPU pthread_setaffinity_np(…)


Engineering for Exalytics – High CPU CORE count Challenge• Exalytics Software Use Cases

– Large number of users performing fast and small workloads– Small number of users or single user performing a large highly parallelizable workload– Large and Legacy code and scripts that run sequentially but require faster CPU

• Engineering Solutions Adopted– Basic principles of semaphores, mutual exclusion and synchronization don’t help– Any locking is bad and leads to poor utilization of CPU cores – Lockless algorithms based on Intel hardware instructions (compare and swap) were

designed and implemented– We need shared data structures for doing any useful applications, but sharing cannot

be done using typical semaphores use lockless algorithms to reduce contention

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