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After you finalize the logical model, you can get down to designing the database itself. You first review the logical data model and decide which data elements you ll need for your physical database. Next, you create a first-cut physical data model from your logical data model using a tool such as ERwin or Oracle Designer. In the physical database design stage, your concern is about specifying how you store the data and what methods you ll use to access the data. You can work on tuning this initial physical model for better performance later on. Remember that physical database design is based on a specific DBMS (for example, Oracle Database 10g).

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Buffer reads are much faster than reads from disk The all-important principle in appropriately sizing the buffer cache is summarized in the phrase touch as few blocks as possible, since disk I/Os necessary for reading data from Oracle blocks on disk are more time consuming than reading the data from the SGA This is why the buffer cache hit ratio, which measures the percentage of time users accessed the data they needed from the buffer cache (rather than requiring a disk read), is such an important indicator of performance of the Oracle instance You derive the buffer cache hit ratio as follows: hit rate = (1 (physical reads)/(logical reads)) * 100 In this calculation, the physical and logical reads (reads from disk and from memory, respectively) are accumulated from the start of the Oracle instance.

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Should you always work toward normalizing all your tables to reduce redundancy and avoid data anomalies Well, theoretically yes, but in reality you don t always have to be obsessed with the normalization process. When it comes to actual practice, you ll find that larger databases can easily deal with redundancy. In fact, the normalization process can lead to inefficient query processing in very large databases, such as data warehouses, because there will be more tables that need to be joined in order to retrieve information. Also, operations such as updates take more time when you have a completely normalized table structure. Thus, you end up having to decide between potential data anomalies and performance criteria.

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So if you calculate the ratio on Monday morning after a restart on Sunday night, it will show a very low hit ratio As the week progresses, the hit ratio could increase dramatically, because as more read requests come in, Oracle satisfies them with the data that is already in memory Unfortunately, Oracle does not give you any reliable rules or guidelines to indicate how much memory you should allocate for your buffer cache ratio or the SGA Some trial and error with data loads should give you a good idea about the right size In 20, I present much more information on the tuning of the database buffer cache A high buffer cache hit ratio doesn t always correlate with superior database performance It is entirely possible for your database to have a very high hit ratio say, in the high 90s and still have a performance problem.

Sam observed that network administration that explicitly incorporates NTP configuration and troubleshooting into its spectrum of activities has been experiencing a considerable acceleration (an increasing rate of change!) since the first four nodes of the ARPAnet (the precursor of the Internet) were connected in AD December 1969 (some 36 years ago as of the time of this writing) He also mused on the parallels in the numerical proportions between the duration of the Internet-era period vs the written history period as contrasted with the written history period vs the prehistoric times The Internet-era period represents but a fraction of the segment of time since the invention of writing approximately 07% ((1 (36/5,200)) * 100%), just as the written history period is but a minute fraction of the duration of the prehistoric times.

Sometimes during certain maintenance operations and during recovery times, you can t have the database open for public access. That s when this partial opening of the database is necessary. You also use the NOMOUNT startup option during database creation and when you have to re-create control files.

For example, even if your total logical reads and hit ratio are high, your SQL queries could still be inefficient..

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