Performance Tuning of Oracle Database Backup

It is suggested to routine Oracle data source copy at non-pick hours. This thing cannot be done stringently to those companies or sites, which are running 24/7 and available worldwide.  During the copy, the efficiency of data sources might lower. Performance effect will depend on size data source and number of contingency clauses.

If the hot copy is taken during non-pick hours then it definitely will depend on dimension data source as well as copy location. If you take back-up in the area and put the copy in the same disk where the production data source located then during the copy, the efficiency of data source surely changed. If you take back-up at NAS then the efficiency of copy might degrade because copy definitely will depend on network bandwidth. If the dimension data source is large then the active of bandwidth will be using and the operation of copy can become slower.

If you are backing up data source using upload application then efficiency badly affected of server because upload application can consume more resources of CPU and memory. If during upload, sessions are trying to get report or efficiency multiple deals then the efficiency of data source surely affected.

RMAN is a good copy application of Oracle. Using RMAN you can take copy similar but during this similar function high source of the host will be employing. If the data sources used by classes worldwide and at the time of RMAN function, classes are trying to access data source then efficiency horribly affected.

In 24/7 operating data sources, it is not easy to maintain copy easily because the data source is being utilized by multiple sessions worldwide at any time from anywhere. Duplicating data source for support up data source function is totally depending on dimension computer file and dimension data source. If the data source is larger in dimension then it would take more time to finish as a well the source of host would take effect. During support up a data source, if any deal is occurring or any long term query is implemented then data source badly impacts of efficiency bottleneck. During Hot copy process, high numbers of store files have generated this function also functions host read in the area. If more than a single store destination designed in a data source then store function also takes so much system source. Finally, the result would be the efficiency degrading of the host.

In the new data pump function, we can perform upload similar. This similar function will eat high sources at the host level and efficiency can be impacting. I have seen so many accidents about the copy process either trapped or operating long and very next day also operating at choose hours.

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