Preview of Oracle Database 12c In-Memory Option · Title: Slide 1 Author: Juan Loaiza Subject:...

Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 1

Preview of Oracle Database 12c In-Memory Option

Copyright © 2013, Oracle and/or its affiliates. All rights reserved. 2

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.

2

3 Copyright © 2013, Oracle and/or its affiliates. All rights reserved. Confidential – Oracle Internal Copyright © 2013, Oracle and/or its affiliates. All rights reserved.

Oracle Database In-Memory Option Goals

100X Faster Queries: Real-Time Analytics

Get instantaneous query results

Querying OLTP database or data warehouse

2X Faster Transaction Processing

Trivial to Deploy for All Applications and Customers

3


Until Now You Choose One Format and Suffer Tradeoffs

Optimizing Transaction and Query Performance Row Format Databases versus Column Format Databases

Row

Transactions run faster on row format

– Fast for processing few rows, many columns

– Example: Insert or query a sales order

Column

Analytics run faster on column format

– Fast for processing few columns, many rows

– Example: Report on sales totals by state

ORDER

SALES

SALES

S

T

A

T

E

4


BOTH row and column

in-memory formats for

same table

Simultaneously active and

transactionally consistent

Analytics & reporting use

New Column format

OLTP uses row format

Breakthrough: Dual Format In-Memory Database

Column

Format

Memory

Row

Format

Memory

Analytics OLTP Sales Sales

5


Oracle In-Memory Columnar Technology

Memory

Pure Columnar

Pure in-memory format with no logging

Near zero overhead on changes

Even for OLTP

Uses memory-optimized compression

2x to 10x memory reduction

Data loaded in-memory for active tables

or partitions - on startup or first access

For in-memory tables, >90% of memory

will be used for column format

Row format needs little memory

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Find Any Business Data in Sub-second

SIMD

Compare all

values in 1

cycle

Compare

all values

in 1

instruction

Load

multiple

State

values Vecto

r

Reg

iste

r

In-Memory Column Store

State column Sales

Example: Find all sales in state of CA

“CA”

>100X Faster

• Each CPU scans local

in-memory columns

Scans use super fast

SIMD vector instructions

Billions of rows/sec

scan rate per CPU core CPU

7


Scans and Combines Data from Multiple Tables

Sales Stores

Type=outlet

Example: Find all sales in outlet stores

T

Y

P

E

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 up to 10x faster

Sum

8


Generate Reports In Sub-second

In-Memory

Report Outline

Example: Show sales trends for footwear products in outlet stores

Stores

Products

Sales

Sales

Dynamically creates

in-memory report outline

Report contents populated

during fact scan

Reports up to 20x faster

without predefined cubes

9


OLTP is Slowed Down by Analytic Indexes

Table 1 to 3

OLTP

Indexes

5 to 15

Analytics

Indexes Most Indexes in mixed-use

OLTP (e.g. ERP) databases

are only used for analytics

Indexes work well for known

access patterns both

in-memory and on-disk

But every change to the

table requires changing all

analytic indexes – Slow!

10


Column Store Replaces Analytic Indexes

Table 1 to 3

OLTP

Indexes

In-Memory Column Store

replaces analytic indexes for

tables that fit in memory

Removes analytic index

overhead on changes

Both predefined and ad-hoc

analytic queries run fast

Less tuning & admin needed

OLTP & batch often run 2x or

more faster

In-Memory

Column Store

11


Demonstration at Oracle Openworld 2013

12

Performance of

columnar scan

vs. row scan

- Both in memory


Extreme Capacity and Cost Effectiveness

Size not limited by memory

Data transparently

accessible across tiers

Each tier has specialized

algorithms & compression

Capacity of Disk

IOs of Flash

Speed of DRAM DISK

PCI

FLASH

DRAM

Cold Data

Hottest Data

Active Data

13


Scale-Out In-Memory Database to Any Size

Scale-Out across servers to

grow memory and CPUs

In-Memory queries are

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

Column Store

14


Scale-Up for Maximum In-Memory Performance

Scale-Up on large SMPs

SMP scaling removes

overhead of distributing

queries across servers or

coordinating transactions

Inter-processor bandwidth

far exceeds any network

15


Oracle In-Memory is Trivial to Deploy

1. Configure Memory Capacity inmemory_area = XXXX GB

2. Configure tables or partitions to be in memory alter table | partition … inmemory;

3. Later Drop analytic indexes to speed up OLTP

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Oracle In-Memory is Transparent to Applications Existing Applications Just Run Faster

Full Functionality - No restrictions on SQL

Trivial to Implement - No migration of data or change of product

Fully Compatible - All existing applications run unchanged

DB as a Service Ready - Oracle Multitenant in-memory

Uniquely Achieves All In-Memory Benefits With No Application Changes

And All Other

Apps that Support

Oracle Database

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Oracle In-Memory Delivers 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, change, etc.

RAC

ASM

RMAN

Data Guard & GoldenGate

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• 100X Faster Queries: Real-Time Analytics

Querying OLTP database or data warehouse

• 2X Increase Transaction Processing Rates

• Less Management and Tuning

• Best of Memory, Flash, Disk

• Scale-Out and Scale-Up

• Extreme Availability

Trivial to Deploy for All Applications and Customers

Summary: Oracle Database In-Memory Option

19


APPENDIX

Relation of Database In-Memory Option to TimesTen and Exadata


Oracle Database In-Memory Products

21

Application

Application

Application

TimesTen In-Memory Database

Embedded in custom applications

Extreme low latency OLTP workloads

(Microsecond Response Time)

Adaptive In-Memory Cache for Exalytics

In-Memory Machine

Oracle Database In-Memory

Scalable In-Memory Database for any type

of application workload

Combines best of DRAM, flash, disk


TimesTen In-Memory Database and Columnar

TimesTen is adding scale-out capabilities

– For both OLTP and analytics

TimesTen is adding columnar technologies to

accelerate Analytics

– Core columnar processing engine is shared

between Oracle and Timesten

– Embedded Analytics engine

TimesTen Grid

Scale-Out In-Memory DB

Columnar

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Oracle Database In-Memory Option on Exadata

• Exadata extends fast analytics from in-memory to flash and disk for highest

capacity and lowest cost

• Scale-out intelligent flash optimized storage: >100GB/sec from flash

• Exadata DB as a Service In-Memory delivers consolidation, ultra fast

performance, best agility, and lowest cost

• Highest performance applications run in-memory

• Applications that perform well today use cost-effective disk and flash

• Expect special optimizations for Database In-Memory on Exadata

• E.g. Fastest communication with InfiniBand Direct to Wire protocol

• Exadata is a standardized, pre-configured, pre-tuned, pre-tested platform for

database in memory, on flash, and on disk

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Platform of the Future

Platform Engineered for Database

Database Engineered for Cloud and

Consolidation

Optimized for latest technologies

In-Memory Database

PCI Flash for fastest IO

Disk for highest capacity

Optimal compression at every tier

Fastest Communication

For all workloads – running together

Highest performance, lowest cost,

most available, most scalable

Enterprise

DBaaS

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Preview of Oracle Database 12c In-Memory Option · Title: Slide 1 Author: Juan Loaiza Subject:...

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