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Consolidating Databases
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DBMS_RESOURCE_MANAGERCREATE_PLAN_DIRECTIVE('CONSOLIDATION', 'REPORTING','Reporting allocation',MGMT_P1=>15); DBMS_RESOURCE_MANAGERCREATE_PLAN_DIRECTIVE('CONSOLIDATION', 'MARKETING','Marketing allocation',MGMT_P1=>10); DBMS_RESOURCE_MANAGERCREATE_PLAN_DIRECTIVE('CONSOLIDATION', 'OTHERS','Others allocation',MGMT_P1=>10); DBMS_RESOURCE_MANAGERSUBMIT_PENDING_AREA(); END; /
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In this example, we are calling the DBMS_RESOURCE_MANAGER PL/ SQL package to create the CONSOLIDATION plan Then we create consumer groups within that plan and then assign each a percentage of the I/O The resource plan is now created but not active In order to activate this plan, you will have to issue the following command:
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ALTER SYSTEM SET RESOURCE_MANAGEMENT_PLAN='CONSOLIDATION';
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Where you want to consolidate two significantly different I/O-intensive database instances onto the same physical storage cell, you can leverage an interdatabase plan on the Oracle Exadata Database Machine storage cells directly In this example, you can consider an OLTP database instance that is highly sensitive to the latency of physical I/O requests You will also consider a data warehousing database instance called DW that issues larger I/O requests but is more sensitive to throughput In order to consolidate these two very different databases onto the same physical Oracle Exadata Database Machine storage cell, you must be able to prevent the DW from slowing down the OLTP database, yet allow the DW to open up on the storage cells when the OLTP database is no longer performing physical I/Os (because it is being satisfied from main memory or from the secondary flash memory area) Directly activating an interdatabase plan on the storage cells themselves will provide a solution to this common historic problem
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CellCLI> ALTER IORMPLAN dbPlan=( (name=OLTP,level=1,allocation=80), (name=DW,level=2,allocation=80), (name=other,level=3,allocation=100))
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Achieving Extreme Performance with Oracle Exadata
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In this example, the OLTP database gets priority and can access 80 percent of the I/O resources The DW can access 20 percent of the I/O resources when the OLTP database is actively running and using up its maximum allocation; otherwise, it can use 80 percent of OLTP s unused allocation Other databases can get any unused I/O at 100 percent, respectively
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Quality of Service Management
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To better ensure that SLAs are met in real time and assure predictable performance for consolidated workloads, Oracle recommends quality of service (QoS) management Oracle QoS is a policy-driven architecture that includes instrumentation of the entire Oracle stack, end-to-end work classification, realtime generation of correlated performance and resource wait data, identification of bottlenecks and their causes, incremental recommendations and impact projections, responses with just-in-time resource allocations, and protection of existing workloads from memory starvation Enterprise Manager simplifies QoS management by providing wizards and dashboards that support the policy-driven architecture Policies are defined and enabled through a policy definition wizard Bottlenecks and alerts are monitored through an applications performance dashboard Reallocation of resources in solving problems takes into account expert system recommendations Historical views of applications metrics are maintained for audit purposes QoS is described in more detail in 8
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Consolidation Design
Now that you have all the various pieces that are required to consolidate database instances onto the Oracle Exadata Database Machine, you can consider an end-to-end consolidation design
RAC Considerations
Oracle RAC provides tremendous consolidation benefits to database instances and the applications that connect to them The ability to provide out-of-the-box high availability to applications, coupled with the benefit to scale inside a node (scale-up) or scale across the RAC cluster (scale-out) or both is unparalleled for everyday applications When you are migrating
9:
Consolidating Databases
multiple applications to the Oracle Exadata Database Machine, one of the key decisions you will have to make involves how you isolate instances and clusters You could use one large RAC cluster for all consolidated applications, which would reduce management overhead and give you the option of allocation of resources through services, described in the next section You could also choose to migrate each database to its own RAC cluster, which in many ways is the easier path, but which loses some flexibility in allocating resources and a smaller ration of availability with fewer nodes Along this same line, if you are buying a Full Rack configuration, you could choose to go with 2 heavy nodes in the X2-8 or 8 smaller nodes in the X2-2 The heavy nodes also come with more processors and more memory, which make them a more preferable target for OLTP workloads Finally, you could decide to not use RAC at all, but simply migrate stand-alone instances This approach may seem like easiest approach, but you will sacrifice both availability and I/O bandwidth, since each individual instance will not benefit from multiple nodes There may be situations where scalability across multiple nodes is not seen as necessary RAC One Node can be deployed on individual nodes as an alternative and provides enhanced application upgrade, maintenance, and mobility, as well as extremely fast failover for a database server node and other applications-related critical failure modes
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