Larry Ellison Introduces Oracle Database In-Memory

Larry Ellison
Chief Executive Officer, Oracle
Oracle Confidential – Internal/Restricted/Highly RestrictedCopyright © 2014 Oracle and/or its affiliates. All rights reserved. |
Oracle Database In-Memory
Powering the Real-Time Enterprise

2 Copyright © 2014, Oracle and/or its affiliates. All rights reserved.
Oracle Database
In-Memory
Option
Powering the Real-Time
Enterprise
Available in July

Oracle Database In-Memory Option: Goals
 100X Faster Queries: Real-Time Analytics
• Instantaneous Queries on OLTP Database or Data Warehouse
 2x Faster OLTP
• Insert rows 3x to 4x faster
 Transparent: No application changes
• Minutes to Implement

Oracle 12c Stores Data in Both Formats Simultaneously
Optimizing Transaction and Query Performance
Row Format Databases versus Column Format Databases
Row
 Transactions run faster on row format
– Example: insert or query a sales order
– Fast processing of few rows, many columns
Column
 Analytics run faster on column format
– Example: report on sales totals by region
– Fast accessing of few columns, many rows
ORDER
SALES
SALESREGION

 BOTH row and column
formats for same data/table
 Simultaneously active and
transactionally consistent
 100X Faster Analytics
in-memory column format
 2X faster OLTP: row format
Innovation: Dual Format In-Memory Database
Column
Format
Memory
Row
Format
Memory
AnalyticsOLTP Sales Sales
Sales

Oracle In-Memory Column Format
Pure In-Memory
Pure Columnar
 2X to 20X compression: Faster Scans
 No data change logging: Faster OLTP
 Enabled at table or partition level
 Available on all hardware platforms
Sales
Sales

Scans Billions of Rows per Second per CPU Core
SIMD
Compare all
values in 1
cycle
Vector
Compare
all values
in 1 cycle
Load
multiple
Region
values
Vector
Register
In-Memory Column Store
Sales
Example: Find all sales in region of CA
“CA”
>100X
Faster
• Each CPU core scans
local in-memory columns
 Scans use super fast
SIMD vector instructions
 Billions of rows/sec
scan rate per CPU core
CPU
R
E
G
I
O
N

10x Faster Joining and Combining Data
SalesStores
Type=outlet
Example: Find total sales in outlet stores
Storeid
in
15,38,64
S
T
O
R
E
I
D
A
M
O
U
N
T
 Converts join processing
into fast column scans
 Joins tables 10x faster
Sum
S
T
O
R
E
I
D
T
Y
P
E

Generate Reports Instantly
In-Memory
Report
Outline
Example: Report sales of footwear in
outlet stores
Products
Stores
Sales
Footwear
Sales
 Dynamically creates
in-memory report outline
 Then report outline filled-in
during fast fact scan
 Reports 20x faster without
predefined cubes
Outlets
Footwear

OLTP is Slowed by Analytic Indexes
Table
1 to 3
OLTP
Indexes
10 to 20
Analytics
Indexes
 Most OLTP Indexes (e.g. ERP)
are only used for analytic
queries
 Inserting one row into a table
requires updating 10-20
analytic indexes: Slow!
 Indexes only speed up
anticipated queries & reports

Column Store Replaces Analytic Indexes
Table
1 to 3
OLTP
Indexes
 100x Faster analytics
 Works on any columns
 Better for ad-hoc analytics
 Less tuning required
• 2x Faster OLTP and Batch
• Column store not logged
• Row Insert cost is lower
In-Memory
Column Store

Scale-Out In-Memory Database to Any Size
In Memory
Column Store
 Scale-Out across servers to
grow memory and CPUs
 In-Memory queries parallelized
across servers to access local
column data
 Direct-to-wire InfiniBand
protocol speeds messaging
In Memory
Column Store
In Memory
Column Store
In Memory
Column Store

In-Memory Speed + Capacity of Low Cost Disk
 Size not limited by memory
 Data transparently moves
between tiers
 Each tier has specialized
algorithms & compression
Speed of DRAM
I/Os of Flash
Cost of Disk DISK
PCI
FLASH
DRAM
Cold Data
Hottest Data
Active Data

Scale-Up for Maximum In-Memory Performance
 Scale-Up on large SMPs
 SMP scaling removes
overhead of distributing
queries across servers
 Memory interconnect far
faster than any network
M6-32
Big Memory Machine
32 TB DRAM
32 Socket, 384 Cores
3 Terabyte/sec Bandwidth

Oracle In-Memory: Extreme Availability
 Pure In-Memory format does not
change Oracle’s storage format,
logging, backup, recovery, etc.
 All Oracle’s mature availability
technologies work transparently
 Protection from all failures
 Node, site, corruption,
human error, etc.
RAC
ASM
RMAN
Data Guard & GoldenGate

Oracle In-Memory: Unique Fault Tolerance
 Similar to storage mirroring
 Duplicate in-memory
columns on another node
• Enabled per table/partition
• Application transparent
 Downtime eliminated by
using duplicate after failure

Oracle In-Memory: Implement in Minutes
1. Configure Memory Capacity
 inmemory_size = XXX GB
2. Configure tables or partitions to be in memory
 alter table | partition … inmemory;
3. Drop analytic indexes to speed up OLTP

Oracle In-Memory Requires Zero Application Changes
Full Functionality - No restrictions on SQL
Easy to Implement - No migration of data
Fully Compatible - All existing applications run unchanged
Fully Multitenant - Oracle In-Memory is Cloud Ready
Uniquely Achieves All In-Memory Benefits With No Application Changes

Oracle
Applications
From Batch to Real-Time
With In-Memory and
Engineered Systems
Oracle Database In-Memory
Oracle Applications

Real-Time Enterprise
 Data Driven – Rapidly make decisions
based on real-time data
 Agile – Respond quickly to change
 Efficient – Continually improve
processes and profitability
AGI
LE
EFFICIENT
DATA-
DRIVEN
AGILE

Oracle In-Memory Cost Management
 Adjust product mix, pricing, and marketing
investments to maximize profits in real-time
 Recalculate cost of every component in
inventory, work-in-process, in-transit
shipments, and finished good
 Fast analysis of cost differences across
manufacturing locations for make or buy
decisions • 1.9 Billion Cost Rows
• 13.8 Million Items
• 14 Level BOM
From 58 Hours to 13.5 Minutes
257X Faster

PeopleSoft In-Memory Financial Analyzer
 Iterative financial position analysis
in real-time
 Make earlier decisions for the
financial period
 Speed account reconciliation
 Shorten financial period close
• 290M Ledger Lines
• 250 Business Units
• 7 Step Analysis, Pivot, Drill
From 4.3 Hours to 11.5 Sec
1300X Faster

Oracle In-Memory Transportation Management
 Dispatchers perform real-time
monitoring and rerouting when
en-route exceptions occur
 Benefits of instant rerouting:
 Reduction in empty miles and in Driver
turnaround time
 Improved on-time delivery
 Improved Dispatcher efficiency and
Driver retention
• 145M Status Records
• 60M Shipment Data Records
• 16K Drivers
From 16 Min to Sub-second
1030X Faster

JD Edwards Sales Order Analysis
 Operational Analysis of sales
orders in real-time
 Find immediate answers to
unanticipated customer sales
questions
 Eliminate batch jobs, data
exports, third-party systems
 1000’s of use cases across all
functional areas
• 104 million sales order lines
From 22.5 Min to Sub-second
1700X Faster

JD Edwards Customer Receivables Management
 Real-Time receivables summarization
 Balances by customer, line of business,
and currency
 Eliminate multiple queries, batch jobs,
data exports
 Similar use cases for projects,
suppliers, assets, inventory etc.
• 10 million invoice lines
From 244 Min to 4 Secs
3500X Faster

Oracle Value Chain Planning
Demantra Promotion Planning
 Marketing Managers want detailed data
when analyzing promotion plans
 Benefits of real-time promotion
analytics:
 Analyze promotion profit and revenue
on real-time basis
 Optimize promotion spend
 Better assess timing and cost impacts
• 1.3 Billion Rows
• Aggregate 36M rows
• 2 week major sell-through report
From 1120 to 11 Seconds
102X Faster

Demantra Consumption Driven Planning
 Daily store-level forecasting and
replenishment requires processing high
volume POS data multiple times a day
 Benefits of real-time planning:
 Consumption and shipment based
forecasting in a single scalable system
 Improved forecast accuracy and
customer service levels at lower cost
• 400 Million Rows
• 1.4 Million SKU Locations
From 12.7 Hours to 56 Minutes
13.5X Faster

Supply Chain Planning and Analytics
 Supply Chain analysts spend hours
processing granular supply and demand
data
 Benefits of real-time planning:
 Planners share business metrics with
analysts and VP’s of Supply Chain real-
time
 Quickly solve supply disruptions and
unexpected demand fluctuations
• 360K Items
• 1.2M Demands, 1M exceptions
• 5.7M KPI records
From 230 to 3 minutes
76X Faster

Siebel Marketing – List Import
 Real-time marketing for large
numbers of prospects
 Rapid processing of marketing data
for campaign launch
 Accelerate import of large
numbers of prospects
 Reduce data-cleansing time
From 1.9 hours to 49 sec
• Import and Cleanse 1 Million Records
140X Faster

Oracle Fusion Cloud Financials
Subledger Period Close Exceptions
 Lists all accounting events and
journal entries that fail period
close validation in real-time
 Report is run many times at end of
quarter and is a bottleneck to close
From 10 Minutes to 3 Sec
• 19 Million Ledger Lines
210X Faster

Oracle Fusion Cloud Financials
Sales Pipeline Analytic Report
• Report potential income in
real-time
• Aggregate revenue from
opportunities grouped within each
sales stage for a specific time
period
From 52 Minutes to 24 Sec
• 1.6 million opportunities
• 5.1 million revenue lines
129X Faster

Become a Real-Time Enterprise
Using Oracle Database In-Memory
 Data-Driven
• Get immediate answers to any
question with real-time analytics
 Agile
• Eliminate latency with analytics
directly on OLTP data
 Efficient
• Non-disruptively accelerate all
applications
AGI
LE
EFFICIENT
DATA-
DRIVEN
AGILE

Summary: Oracle Database In-Memory
 Extreme Performance: Analytics & OLTP
 Extreme Scale-Out & Scale-Up
 Extreme Availability
 Extreme Simplicity
Powering the Real-Time Enterprise
All In-Memory Benefits With No Application Changes

Larry Ellison Introduces Oracle Database In-Memory

Larry Ellison Introduces Oracle Database In-Memory

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