Oracle Exadata Database Machine
Oracle Exadata Database Machine
Oracle Exadata Database Machine (Exadata) is a combined compute and storage system optimized for running Oracle Database software.
Exadata debuted in 2008 as the first in Oracle’s family of “Engineered Systems”, defined as “hardware and software engineered to work together”.
New generations of Exadata are released roughly once a year.
Exadata combines scale-out compute servers, scale-out storage servers, InfiniBand networking and
specialized software, packaged in one or more hardware racks, with various sizing options.
Exadata compute servers use Intel Xeon processors and the Oracle Linux operating system to run
Oracle Database software. Exadata storage servers perform block storage functions and also run
Exadata Storage Server Software to offload data intensive database processing into storage, closest to the data.
It is Oracle’s claim that optimizing the entire compute/storage/networking infrastructure in Exadata for
the Oracle Database allows it to become the best possible database server platform and that pre-integrating
all the software and hardware simplifies configuration, management, and troubleshooting for customers.
Critics of Exadata point out that this limits it to running Oracle Databases, and it cannot be used as a general-purpose server.
Industry analysts at IDC classify Exadata as an “Integrated Platform” with Oracle Engineered Systems having over
50% market share as of March, 2015. Analysts at Gartner place Oracle Engineered Systems in the leaders quadrant of
their “Integrated Systems Magic Quadrant” report for 2014, giving Oracle the top vendor ranking for “Integrated Stack Systems”.
Exadata is designed to optimally run any Oracle Database workload or mix of workloads.
Long running requests, characterized by data warehouse queries, reports, batch jobs and analytics,
are reputed to run many times faster compared to a conventional, non-Exadata database server.
Customer references often cite performance gains of 10x or greater. Analytics workloads can also
use the Oracle Database In-Memory option on Exadata for additional acceleration.
Exadata’s “Hybrid Columnar Compression” feature is intended to reduce the storage consumption
of data warehouses and archive data as well as increase performance by reducing the amount of I/O.
Transactional (OLTP) workloads on Exadata benefit from the incorporation of flash memory into Exadata’s
storage hierarchy, and the automatic “tiering” of data into memory, flash or disk storage. Special flash
algorithms optimize flash for response time sensitive database workloads such as log writes.
For high-end OLTP, all-flash storage (see Extreme Flash Storage Server below) eliminates the latency of disk media completely.
All Exadata workloads benefit from a very high bandwidth and low latency internal InfiniBand fabric
running a specialized database network protocol called iDB.
Database consolidation on Exadata is common. To minimize resource contention between competing databases and workloads,
“resource management” features of Exadata enable prioritized allocation of CPU, I/O and network bandwidth.
Oracle Exadata Database Machine is available in two variants: one based on two-socket database
servers and the other based on eight-socket database servers. The two models differ only in the
hardware used for the compute servers. The networking, storage servers and software are the same in both models.
The X5-2 compute servers feature a small form factor, 1 RU (Rack Unit) in height. They employ 2-socket
Intel Xeon processors; each socket with 18 compute cores for 36 total cores per compute server.
Memory starts at 256 GB and can be expanded to 768 GB.
The Exadata X5-2 Database Machine base configuration has 2 compute servers and 3 storage servers,
referred to as a “Quarter Rack”. The same hardware is also available in an “Eighth Rack” configuration
with half of the processing and storage capacity turned off until needed. As the database workload
and/or data size increases, additional compute and storage servers may be added to increase the
volume of work performed in parallel. This is commonly referred to as “scale-out”.
The X4-8 compute server uses eight-socket servers that consume 5 RU in height and have greater
memory capacity than the X5-2. Whereas each X5-2 compute server contains 36 compute cores,
the X4-8 server contains 120 compute cores. This allows large database workloads to easily “scale-up”
within a compute server while still supporting Exadata’s “scale-out” expandability across multiple servers.
The larger memory capacity of the X4-8 also favors in-memory database workloads. Like the X5-2,
the Exadata X4-8 base configuration has 2 compute servers and 3 storage servers, but consumes a “Half Rack” of space.
Additional compute and storage servers may be added until the rack is full.
Exadata Storage Servers
There are two choices for Exadata storage servers; Extreme Flash and High Capacity. X5-2 Extreme Flash
is an all-flash storage server containing 8 PCIe flash drives for a total of 12.8 terabytes of raw storage
capacity. The X5-2 High Capacity storage servers contain 12 disks for a total of 48 terabytes of raw
storage capacity. To improve I/O response times, High-Capacity storage servers also employ 6.4
terabytes of PCIe flash to cache active data blocks. Exadata’s Smart Flash Cache, Smart Flash Log,
Columnar Flash Cache and Write Back Flash Cache features determine how and when to use flash
(see Storage Server Software).
In addition to adding storage servers into an Exadata Database Machine base configuration, storage
servers may also be acquired with or added to Exadata Storage Expansion racks.
Storage performance specifications for a full rack Exadata configuration are as follows:
|Exadata Storage Server||Scan Rate||Read IOPS||Write IOPS|
|X5-2 Extreme Flash||263 GB/sec||4,144,000||4,144,000|
|X5-2 High Capacity||140 GB/sec||4,144,000||2,688,000|
Note: Based on a full rack configuration of 14 storage servers, 8 compute servers.
IOPS = 8K I/O Operations per Second from SQL
The Exadata Database Machine provides high-speed networks for internal and external connectivity.
A 40 Gb/Sec InfiniBand network is used for internal connectivity between compute and storage servers
and 10Gb/Sec and 1Gb/Sec Ethernet ports are included for data center connectivity. The InfiniBand
network is also used as the cluster interconnect between compute servers. Exadata has a “direct-to-wire”
protocol that allows the database to talk directly to the InfiniBand hardware, minimizing operating system overhead.
Prior to the X5-2 generation, Exadata systems were only available in fixed-size configurations of Eighth,
Quarter, Half and Full Rack sizes. With the X5-2 Exadata release in January, 2015, “elastic configurations”
were introduced. An elastic configuration has a customer-specified combination of database servers and storage
servers. Elastic configurations allow individual storage or compute servers to be added to a base configuration
until the physical rack is full. For example, an Exadata system optimized for in-memory database processing
could be created by adding many compute servers, each with maximum memory. Conversely, an Exadata system optimized
for a large data warehouse could be configured by adding many High-Capacity storage servers. The ratio of compute
to storage servers can vary, depending on the characteristics of the intended workload. Elastic configurations may
also be used to scale out earlier generation Exadata systems using X5-2 servers. In addition, Exadata Database Machines
have always been able to span multiple racks using the built-in InfiniBand network connections. Thus, Exadata’s
scale-out extends beyond a single physical rack.
Storage Server Software
Much of the technical differentiation in Exadata is contained in the software that runs in the Exadata storage servers.
Unlike conventional storage arrays, Exadata storage servers employ Intel Xeon processors to execute database operations
such as scans, joins and filtering; a feature known as Smart Scans. Eliminating unneeded data in storage bypasses network
limitations and offloads processing that would otherwise be performed in the database servers.
Storage Server Software also implements Smart Flash Cache, Columnar Flash Cache, Flash Logging and Write Back Flash Cache
routines that use flash storage to improve I/O response times. I/O Resource Management allocates I/O bandwidth to databases
or workloads according to specified priorities. Lastly, decompression of Hybrid Columnar Compressed data may be performed
in Exadata storage servers.
Compute Server Software
Exadata compute servers run the Oracle Linux 6 operating system and Oracle Database 11g Release 2 Enterprise Edition or
Oracle Database 12c Enterprise Edition. Exadata system resources can be optionally virtualized using the Xen based Oracle VM.
All Oracle Database options, such as Real Application Clusters, Multitenant, Database In-Memory, Advanced Compression,
Advanced Security, Partitioning, Active Data Guard and others are optionally available with Exadata. Applications that are
certified to a supported version of Oracle Database are automatically compatible with Exadata. No additional modifications
or certifications are required.
Oracle Enterprise Manager 12c (EM) is Oracle’s systems management toolset for centrally managing all Oracle software and hardware,
including the Exadata Database Machine. EM integrates with the built-in Exadata management tooling, as well as with customer’s
existing systems management and helpdesk tools. Exadata plug-in for EM provides an integrated view of compute servers,
storage servers, switches, and topology. In addition, it also provides discovery, monitoring and alerting capability for
Exadata systems management.
Exadata Database Machine generations are sequentially numbered as shown in the table below. With each generation, a number
of software and hardware upgrades were introduced.
|Exadata Generation (2-socket)||v1||v2||X2-2||X3-2||X4-2||X5-2|
|Max Disk Storage (TB)||168||336||504||504||672||672|
|Flash Cache (TB)||N/A||5.3||5.3||22.4||44.8||89.6|
|Extreme Flash (TB)||N/A||N/A||N/A||N/A||N/A||179.2|
|Max Memory (GB)||256||576||1,152||2,048||4,096||6,144|
|Exadata Generation (8-socket)||N/A||N/A||X2-8||X3-8||X4-8||X5-8|
|Disk Storage (TB)||N/A||N/A||504||504||672||672|
|Flash Cache (TB)||N/A||N/A||5.3||22.4||89.6||89.6|
|Extreme Flash (TB)||N/A||N/A||N/A||N/A||179.2||179.2|
|Max Memory (TB)||N/A||N/A||4||4||12||12|
Note: Based on a full rack configuration of 14 storage servers, 8 compute servers for 2-socket and 2 compute servers for 8-socket
|Database Aware PCI Flash||√||√||√||√||√|
|Hybrid Columnar Compression||√||√||√||√||√|
|I/O Resource Management||√||√||√||√|
|Data Mining Offload||√||√||√||√|
|Network Resource Management||√||√|
|Prioritized File Recovery||√|
|In-Memory Fault Tolerance||√|
|Columnar Flash Cache||√|
|JSON and XML Offload||√|
|I/O Latency Capping||√|
|Instant Failure Detection||√|
Although the hardware components of Exadata are leading edge for the industry, they are not unique to
Exadata. It is the unique Exadata software and the top to bottom integration of the software
components that distinguish Exadata from any other database server.
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