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Achieving Extreme Performance with Oracle Exadata
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Date of Introduction Server Nodes Storage Cells Total Server Node CPUs and Cores Total Memory Total Flash InfiniBand Switches High Performance Disk Capacity High Capacity Disk Capacity TABLE 4-3
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October 2009 2 3 4 CPUs/16 cores 144GB 11TB 2 21TB 72TB
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Not shown in the previous tables is the Ethernet switch provided in each Rack for administration of the Database Machine A keyboard, video display unit, and mouse (KVM) are provided for local administration with X2-2 configurations Also included is a spares kit that includes an extra disk and extra Smart Flash Cache card for the Quarter and Half Rack or two extra disks and two extra Smart Flash Cache cards for the Full Rack, and InfiniBand cables Oracle has tightly defined what optimal ratios of components (such as processor cores, memory, and throughput) in database server nodes and storage cells should be Though it is possible to activate only part of a Rack configuration, in Oracle Exadata Database Machines, Oracle recommends that you maintain the ratio of four database server nodes for every seven storage cells in X2-2 configurations if you do That is similar to the ratio that exists in the Half and Full Racks in X2-2 configurations For X2-2 Rack configurations where you activate just a quarter of a Full Rack, use the ratio of two database server nodes and three storage cells The only deviation to
4:
Oracle Exadata Database Machine Platform
Half Rack
HP Oracle Database Machine
Sun Oracle Database Machine
Oracle Exadata Database Machine X2-2
Date of Introduction Server Nodes Storage Cells Total Server Node CPUs and Cores Total Memory Total Flash InfiniBand Switches High Performance Disk Capacity High Capacity Disk Capacity TABLE 4-4
September 2008 4 7 8 CPUs/ 32 cores 128GB N/A 2 38TB 84TB
October 2009 4 7 8 CPUs/ 32 cores 288GB 26TB 2 50TB 168TB
September 2010 4 7 8 CPUs/ 48 cores 384GB 26TB 3 50TB 168TB
Evolution of Database Machine Half Rack Configuration
these ratios might occur where additional storage is to be used as part of an Information Lifecycle Management (ILM) strategy for online backups and the storage is configured in a separate rack High-Performance disks (referenced as SAS disks in early configurations) are generally selected where the goal is optimal performance, while the High-Capacity disk (referenced as SATA disks in early configurations) is selected when the goal is to provide more storage capacity in a rack HighPerformance and High-Capacity storage cannot be intermingled in the same Database Machine Rack configuration However, separate Database Machine Racks containing High-Performance and High-Capacity disks can be linked, provided the storage in each is configured in different disk groups In the previous tables, we indicated disk capacity but not the amount of user data that can be stored This amount is highly variable Since Oracle
Achieving Extreme Performance with Oracle Exadata
Full Rack
HP Oracle Database Machine
Sun Oracle Database Machine
Oracle Exadata Database Machine X2-2
Oracle Exadata Database Machine X2-8
Date of Introduction Server Nodes Storage Cells
September October 2008 2009 8 14 8 14 16 CPUs/ 64 cores 576GB 53TB 3 100TB
September 2010 8 14 16 CPUs/ 96 cores 768GB 53TB 3 100TB
September 2010 2 14 16 CPUs/ 128 cores 2TB 53TB 3 100TB
Total Server Node 16 CPUs/ CPUs and Cores 64 cores Total Memory Total Flash InfiniBand Switches 256GB N/A 4
High 76TB Performance Disk Capacity High Capacity Disk Capacity TABLE 4-5 168TB
336TB
336TB
336TB
Evolution of Database Machine Full Rack Configuration
fully mirrors the data in a standard database installation, the amount of data you can store on the available disk is immediately cut in half You can also choose to mirror data twice for even higher levels of availability, which will result in only a third of the available disk being used for data You should also consider that database logs, temp spaces, and other database structures will take up some space However, the Advanced Compression Option and Hybrid Columnar Compression, described elsewhere in this book, might allow you to store far more data on this storage than the available space left after taking these factors into account When sizing the Database Machine, Oracle should be consulted Disk capacity is but one sizing parameter used in selecting the size of the Rack and type of disk Different workloads have different characteristics and demands Oracle will sometimes use comparative sizing techniques to compare current platform characteristics to those of the Database Machine
4:
Oracle Exadata Database Machine Platform
to establish a common baseline for expected performance The fact that the Database Machine provides a balanced server, storage, and throughput configuration by design helps assure scalability for a variety of workloads Of course, workloads can become quite complex where the Database Machine is deployed supporting multiple Oracle databases for purposes of server and storage consolidation Projected future workloads are often less understood In such situations, Oracle uses predictive sizing techniques to compare the impact of potential workload variability on performance and recommend the right platform configuration
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