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One of the trickiest and most satisfying aspects of a DBA s job is helping to improve the quality of SQL code in the application. Efficient code means fast performance, and an easy way to decrease the I/O your query requires is to try to lower the number of rows that the optimizer has to examine. The optimizer is supposed to find the optimal plan based on your query. This means the optimizer won t rewrite an inefficiently written query it only produces the execution plan for that query. Also, even if your query is efficiently written, the optimizer may not always end up producing the best execution plan. You have better knowledge of your application and data than the optimizer does, and you can, with hints, force the optimizer to use that knowledge. The following sections cover some of the best guidelines for writing good SQL.

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The way you configure your disk system has a profound impact on your I/O rates You have to address several issues when you re planning your disk system Important factors that have a bearing on your I/O are as follows: Choice of RAID configuration: 3 covered RAID system configuration in detail Just remember that a RAID 5 configuration doesn t give you ideal I/O performance if your application involves a large number of writes For faster performance, make sure you use a configuration that involves striping your disks, preferably according to the Oracle guidelines Raw devices or operating system file systems: Under some circumstances, you can benefit by using raw devices, which bypass the operating system buffer cache Raw devices have their own drawbacks, though, including limited backup features, and you want to be sure the benefits outweigh the drawbacks.

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Selective criteria in your WHERE clauses can dramatically decrease the amount of data Oracle has to consider during a query You can follow some simple principles to ensure that the structure of your SQL statements is not inherently inefficient Your join methods may be fine, but overlooking some of these principles could doom your statement from a performance point of view Careful specification of WHERE conditions can have a significant bearing on whether the optimizer will choose existing indexes The principle of selectivity the number of rows returned by a query as a percentage of the total number of rows in a table is the key idea here A low percentage means high selectivity and a high percentage means the reverse Because more selective WHERE clauses mean fewer I/Os, the CBO tends to prefer to choose those kinds of WHERE clauses over others in the same query.

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Raw devices in general provide faster I/O capabilities and give better performance for a write-intensive application You might also want to consider alternative file systems such as Veritas VXFSS, which helps large I/O operations through its direct I/O option I/O size: I/O size is in terms of the Oracle block size The minimum size of I/O depends on your block size, and the maximum size depends on the DB_FILE_MULTIBLOCK_READ_COUNT initialization parameter If your application is OLTP based, the I/O size needs to be small, and if your application is oriented toward a DSS, the I/O size needs to be much larger In Oracle Database 102, the database automatically tunes this parameter, if you don t set it Logical volume stripe sizes: Stripe size (or stripe width) is a function of the stripe depth and the number of drives in the striped set.

The following example makes this clear: SQL> SELECT * FROM national_employees WHERE ss_no = 515086789 AND city='DALLAS'; Two WHERE clauses are in this example, but you can see that the first WHERE clause that uses ss_no requires fewer I/Os The column ss_no is the primary key and is highly selective only one row with that ss_no is in the entire table The optimizer determines the selectivity of each of the two columns in the query by looking at the index statistics, which tell it how many rows in the table contain each of the two column values in the query If neither of the columns has an index, Oracle will use a full table scan to retrieve the answer to the query If both of them have indexes, it will use the more selective (and hence more efficient) index on the ss_no column.

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