Accelerating Applications UsingFlash and Non-Volatile Memory

Saeed RajaDirector Product Marketing Management

SanDisk Corporation

Flash Memory Summit 2015Santa Clara, CA 1

Forward-Looking Statements

During our meeting today we will make forward-looking statements.

Any statement that refers to expectations, projections or other characterizations of future events or circumstances is a forward-looking statement, including those relating to industry trends, future products and technologies and product performance capabilities and availability. 

Actual results may differ materially from those expressed in these forward-looking statements due to a number of risks and uncertainties, including the factors detailed under the caption “Risk Factors” and elsewhere in the documents we file from time to time with the SEC, including our annual and quarterly reports.

 

We undertake no obligation to update these forward-looking statements, which speak only as of the date hereof.

 

Flash is a Major Disruptor in Datacenters…Non-Volatile Memory has Made Big News Recently!!!

NAND Flash Major Trends:

− Capacity: 100s of GB to 100s of TB per device

− Higher capacity, lower cost/GB− Lower write cycles− SLC->MLC->3BPC− IOPS: 100K to millions− GB/s of bandwidth

Non-Volatile Memory DDR/PCI-e attached NVDIMM / Capacitance

backed power-safe buffers + FLASH Orders of magnitude performance improvement

SAS and SATA attach SSDs

PCIe attached Fabric attached

NVDIMMsNext Phase :: Persistence Memory

Flash DevicesMemory Persistent Memory

Non Volatile Memory File System (NVMFS)

Persistent Memory Manager (PMM)

Memory Interfaces

Applications

No Changes in Applications Applications Optimized

“Flash -Aware”“Transparent”

Application Acceleration Using Flash Extended Memory

2xPerformance

Increase

4xPerformance

Increase

Native Flash Translation Layerblock allocation, mapping, recycling

ACID updates, logging/journaling, crash-recovery

NVMFSfile metadata mgmt

Kernel block layer

kernel-space

user-space

Standard Linux File Systemsfile metadata mgmt,

block allocation, mapping, recycling,ACID updates, logging/journaling,

crash-recovery

NVM Primitives

MySQL™ Database Use Case

Linux Virtual File System - Abstraction Layer

New File System

NVMFS is POSIX compliant

Leverages the functionality of underlying Flash Translation Layer (FTL)

Namespace Management

Enables Direct flash/memory access and crash recovery

NVM primitives are exposed through standard system file interface

NVMFS - Optimized for Flash and Persistent Memory

Flash Devices

Memory Persistent Memory

Every MySQL write translates to 2 writes to storage device

80% performance penalty with legacy MySQL compression

enabled

Page CPage

B

Page A

Buffer

DRAMDRAMBufferBuffer

SSD (or HDD) Database

Database Server

Page C

Page B

Page A

Page C

Page B

Page A

Page C

Page B

Page A

Application initiates updates to pages A, B, and C.

1

MySQL copies updated pages to memory buffer.

2

MySQL writes to double-write buffer on the media.

3

Once step 3 is acknowledged, MySQL writes the updates to the actual tablespace.

4

2 Writes

80

% r

ed

uct

ion

in T

PS

21

Tra

nsac

tion

Rat

e

Results and performance may vary according to configurations and systems, including drive capacity, system architecture and applications.

Legacy MySQL Challenges

MySQL with Atomic Write

Fusion ioMemory Database

Page C

Page B

Page

A

DRAMBuffer

Page C

Page B

Page

A

Application initiates updates to pages A, B, and C.

1

MySQL copies updated pages to memory buffer.

2

MySQL writes to actual tablespace, bypassing the double-write buffer step due to inherent atomicity guaranteed by the intelligent Fusion ioMemory device.

3

Database Server

Page CPage

B

Page

A

One, Single Atomic Write!One, Single

Atomic Write!

Solving the Double-Write Challenge with NVMFS

Enhanced Life Expectancy of Flash Devices:– Reduce Writes to flash by half at similar throughput

Improved performance consistency

Reduced latency, increased transaction/sec

Higher performance – Especially workloads with datasets that are bigger than DRAM

Perfect Fit for ACID-compliant MySQL

Changes have been contributed to the MySQL community.Oracle MySQL 5.7.4, Percona Server 5.5, 5.6 and MariaDB 10

Atomic Write significantly reduces latency while Increasing performance consistency

Sysbench - MariaDB 10.0.15, 4000 OLTP TXN injection/second, 99% latency, 220GB data - 10GB buffer pool

NVMFS latency range

XFS latency range

Significantly Improved Latency Consistency

Benefits of compression without performance penalty Within 10% of uncompressed

Up to 50% improvement in capacity utilization

Enhanced life expectancy of flash devices Up to 4x fewer writes to storage with

Compression and Atomic Write Tra

nsac

tion

Rat

eThe performance results discussed herein are based on internal testing and use of Fusion ioMemory products. Results and performance may vary according to configurations and systems, including drive capacity, system architecture and applications.

Significantly Improved MySQL Compression

Compression with almost no performance penalty

Changes have been contributed to the MySQL community.Oracle MySQL 5.7.4, Percona Server 5.5, 5.6 and MariaDB 10

TPC-C-Like benchmark, 1000 warehouses - 75GB Buffer pool, MariaDB 10.0.15

5x improvement

Legacy MySQL with Compression ON

MySQL /NVMFS with Compression ON

Legacy MySQL with Compression OFF

NVM Compression eliminates legacy MySQL’s compression penalty

Compression without Performance Penalty

2x

2.1x

2x2x

2x

MySQL :: Transparent Acceleration

2x Higher transactions per second using DDR attached NVDIMM

Baseline = without NVDIMMMySQL = without any modifications

MySQL :: Transparent Latency Improvements

NVMFS provides consistent low latency

Baseline = without NVDIMMMySQL = without any modifications

Cassandra :: Major Reduction in WRITES to Flash

Up to 3.2x reduction in Writes to Flash---Expected Longer Endurance

Cassandra, 2.2.0YCSB BenchmarkFlash Writes = GB

Lower is Better2x

3x

2x

Baseline = without NVDIMMCassandra = without any modifications

Customer Benefits

Changes have been contributed to the MySQL community.Oracle MySQL 5.7.4, Percona Server 5.5, 5.6 and MariaDB 10

Transparent Flash AwareInsert Heavy

Throughput

Latency

Up to 2x improvements

Up to 4x improvements

Use “Flash-as-Memory” byte-addressable architecture and interface

Expected Longer Endurance of Flash Devices

Application Level Benefits

ISV’s and Partners Inquiries Welcomed!!!

Questions?

Flash Memory Summit 2015Santa Clara, CA 15

Thank You!

@BigDataFlash #bigdataflash

ITblog.sandisk.comhttp://bigdataflash.sandisk.com

For details about NVFMS refer to:

NVMFS: A New File System Designed Specifically to Take Advantage of Nonvolatile Memory.Dhananjoy Das (Sr. Systems Architect SanDisk Corp.) in Forum D-21: Enterprise Storage Design.