Oracle Essentials [Electronic resources] : Oracle Database 10g, 3rd Edition نسخه متنی

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Oracle Essentials [Electronic resources] : Oracle Database 10g, 3rd Edition - نسخه متنی

Jonathan Stern

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11.4 Clusters


Clustered systems have provided a
high-availability, high-scalability solution since initially
appearing in the 1980s in the DEC VAXcluster configuration. Clusters
can combine all the components of separate machines, including CPUs,
memory, and I/O subsystems, into a single hardware entity. However,
clusters are typically built by using shared disks linked to multiple
"nodes" (computer systems). An
interconnect between systems provides a means of exchanging data and
instructions without writing to disk (see Figure 11-3). Each system
runs its own copy of an operating system and Oracle instance. Grids,
described later in this chapter, are typically made up of a few very
large clusters.


Figure 11-3. Typical cluster (two systems shown)


Oracle's support for clusters dates back to the
VAXcluster. Oracle provided a sophisticated locking model so that the
multiple nodes could access the shared data on the disks.
Clusters required such a
locking model, because each machine in the cluster had to be aware of
the data locks held by other, physically separate machines in the
cluster.

Today, that Oracle solution has evolved into
Real Application Clusters
or RAC (replacing the Oracle Parallel Server (OPS) that was available
prior to Oracle9i). RAC is most frequently used
for Windows, Linux, or Unix-based clusters. Oracle provides an
integrated lock manager that mediates between different servers, or
nodes, that seek to update data in the same block.

Real Application Clusters introduced full support of
Cache Fusion;
with Cache Fusion, locks are maintained in memory without frequent
writing to disk. Cache Fusion is different from the standard locking
mechanisms that are described in Chapter 7, in
that it applies to blocks of data, rather than rows. The mediation is
necessary because two different nodes might try to access different
rows in the same physical block, which is the smallest amount of data
that can be used by Oracle.

Cache Fusion greatly increased performance for read/write operations
in Oracle8i OPS and added write/write operations
to Cache Fusion in Oracle9i RAC. Oracle Database
10g further speeds performance by leveraging
Infiniband networks through support of SDP (Sockets Direct Protocol)
and asynchronous I/O protocols, lighter weight transports than used
in previous, traditional TCP/IP-based RAC implementations.

Prior to Real Application Clusters, you could configure clusters to
deliver higher throughput or greater availability for the system. In
the high-availability scenario, if a single node fails, a secondary
node attached to the shared disk can get access to the same data.
Queries can run to completion without further intervention through
client failover, first appearing in Oracle8. Real Application
Clusters, due to its increased performance, can deliver both
availability and scalability, as each node in a cluster acts as a
failover for all the other nodes in the cluster.

Real Application Clusters are being used more frequently in commodity
server environments, where clusters of low-priced servers are seeking
to deliver the performance of more expensive SMP machines. For simple
failover on entry platforms, Oracle also bundles Fail Safe. Data is
not shared by the two systems in a Fail Safe configuration, and a
second system provides standby access to this data. However, because
concurrent access isn't provided, the Fail Safe
solution doesn't offer the scalability that Real
Application Clusters can provide. The use of clusters for high
availability (both with and without Real Application Clusters) is
discussed in Chapter 10.


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