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In this section, you have seen that the amount of work performed by the cluster in support of the Global Cache Service is highly dependent on the usage of data blocks within the cluster. Although most applications will run on RAC without modification, you can reasonably expect to optimize their performance by partitioning them across the nodes. The benefit of application partitioning is that the aggregate size of the buffer cache across all instances is effectively increased, since fewer duplicate data blocks will be stored within it. The partitioning option, which has been available since Oracle 8.0, allows you to physically partition tables. The introduction of database services in Oracle 10.1 provides a built-in mechanism that can be used to implement application partitioning. In particular, database services and the partitioning option can be used together to achieve node affinity for each physical partition. Finally, the introduction of dynamic resource remastering at object level allows Oracle to optimize the use of partitioned objects across the cluster by ensuring that they are locally mastered. The key, therefore, to optimizing the global cache is to design your application in such a way that you minimize the number of blocks that are shared between instances, which will minimize the amount of interconnect traffic and the work performed by remote instances. Other ways to achieve this optimization might include implementing sequences, reverse key indexes, global temporary tables, or smaller block sizes or rebuilding tables with fewer rows per block.

In the final section of this chapter, we will briefly describe instance recovery While it is important that your cluster can survive an instance failure and that the impact on throughput during instance recovery is acceptable to your business, understanding the concepts behind instance recovery is less important than understanding those underlying GCS or GES This is because instance recovery only has a temporary performance impact, whereas the Global Services can affect your performance at all times In RAC, recovery is performed when an instance fails and another Oracle instance detects the failure If more than one node fails at the same time, all instances will be recovered The amount of recovery processing required is proportional to the number of failed nodes and the amount of redo generated on those nodes since the last checkpoint Following recovery, data blocks become available immediately.

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The common usage for the term cluster refers to a group of two or more closely coupled computers with shared access to resources such as disks. A Calendar cluster is nothing like that; it is a node network in which one node is designated as the master node. Use of a master node is not required, but if configured it will provide enhanced facilities for managing the node network, and better performance when handling searches for user accounts across all the nodes, servers, and hosts. For the stand-alone installation, a cluster is optional but it is the default with the Oracle Collaboration Suite installation; when you install a middle tier instance, you are prompted to select whether the installation will be a master node or not. For the installation of your first Oracle Collaboration Suite middle tier, it will always be a master.

When an instance detects that another instance has failed, thefirstphase of the recovery is the reconfiguration of the GES Following this, the GCS resources can be reconfigured During this phase, all GCS resource requests and write requests are suspended, and the GRD is frozen However, instances can continue to modify data blocks as long as these blocks are in the local buffer cache and appropriate enqueues are already held In the next phase, the redo logfileof the failed instance is read to identify all the blocks that may need to be recovered In parallel, the GCS resources are remastered This remastering involves redistributing the blocks in the buffer cache of the remaining instances to new resource masters At the end of this phase, all blocks requiring recovery will have been identified.

Summary

In the third phase, buffer space is allocated for recovery and resources are created for all of the blocks requiring recovery The buffer caches of all remaining instances are searched for past images of blocks that may have been in the buffer cache of the failed instance at the time of failure If a PI buffer exists for any block, then this buffer is used as a starting point for the recovery of that block At this point, all resources and enqueues that will be required for the recovery process have been acquired Therefore, the GRD can be unfrozen, allowing any data blocks that are not involved in the recovery process to be accessed The system is now partially available.

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