What’s New for Grid Infrastructure in Oracle 11.2.0.2
Learn about the main changes for the Clusterware Ready Services (CSR) part of Oracle Grid Infrastructure (GI) in 11.2.0.2.
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Learn about the main changes for the Clusterware Ready Services (CSR) part of Oracle Grid Infrastructure (GI) in 11.2.0.2.
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Upgrading to Oracle Grid Infrastructure has the same requirements for a cluster node as a new install, so you will need to get a SCAN IP, and make sure the kernel parameters and O/S packages meet the new requirements. Learn more.
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When root.sh fails during Oracle Grid Infrastructure installation, you can clean it up and rerun it once the problem has been resolved. Learn how.
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If the Oracle Grid Infrastructure installation procedure goes wrong, you can examine the files produced during the initial OUI stage, the root.sh stage, and the assistants stage. Learn more.
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When an error occurs in Oracle 11g Release 2, the ADR framework creates an incident that you can package using the ADR Command Interpreter (ADRCI) to send to Oracle Support. Learn more about these trace files.
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Learn about important changes to the Oracle Cluster Ready Services (CRS) architecture in 11gR2.
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Oracle Cluster Ready Services (CRS) are provided to cluster together nodes on any supported operating system, whether Linux, Solaris, AIX, Windows or HP/UX, or another system. Learn more.
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Learn how the Oracle flashback query, flashback table and Flashback database can be used to protect against and quickly recover from user errors.
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Learn to achieve the redundancy necessary to recover quickly from software or component failures using Oracle RAC, Oracle Clusterware, Oracle Recovery Manager (RMAN) and Flashback Database.
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Learn how Oracle Real Application Clusters (RAC) and Oracle Data Guard can help you keep up with technology changes with minimal impact to your operations.
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A SQL Server deadlock is a special concurrency problem in which two transactions block the progress of each other. Learn more.
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Learn how to make SQL Server Change Tracking (CT) and the ETL process work efficiently in a data warehouse environment.
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