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SQL> SELECT count(*) FROM courses 2 WHERE course_subject='medicine' 3 AND course_title = 'fundamentals of human anatomy'; COUNT(*) 98304 Execution Plan -------------------------------------------------------------0 SELECT STATEMENT Optimizer=CHOOSE 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (BY INDEX ROWID) OF 'COURSES' 3 2 INDEX (RANGE SCAN) OF 'TITLE_IDX' (NON-UNIQUE) Statistics -------------------------------------------------------------0 recursive calls 0 db block gets 1273 consistent gets 1249 physical reads 0 redo size 381 bytes sent via SQL*Net to client 499 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed SQL> After you created the index, the physical reads went from 338 to 1,249! The EXPLAIN PLAN shows that Oracle is indeed using the index, so you would expect the physical reads to be lower when compared to the no-index case.

What happened here is that even if a table has an index, this doesn t mean that it s always good to use it under all circumstances The CBO always figures the best way to get a query s results, with or without using the index In this case, the query has to look at almost all the rows of the table, so using an index isn t the best way to go However, you haven t collected statistics for the table and the index, so Oracle has no way of knowing the distribution of the actual data.

in the courses table Lacking any statistics, it falls back to a rule-based approach Under a rule-based optimization, using an index occupies a lower rank and therefore indicates that this is the optimal approach here Let s see the results after analyzing the table The third example is a query with an index executed after collecting optimizer statistics for the table Oracle has the complete statistics, and it uses the CBO this time around The CBO decides to use an index only if the cost of using the index is lower than the cost of a full table scan The CBO decides that it won t use the index, because the query will have to read 98,304 out of a total of 98,384 rows It rightly decides to do a full table scan instead The results are shown in Listing 19-10 Listing 19-10.

Messages that create objects are connected to the object s top box instead of the vertical lifeline. You can put a gray box over certain sections of a lifeline to indicate which object is active at a given time. The box is called the focus of control. A large X at the end of the lifeline denotes the destruction of an object. Figure 6-11 shows a Sequence diagram in which an object is created, activated for a short operation, and then destroyed.

The Execution Plan with an Index After Analyzing the Table SQL> ANALYZE TABLE courses COMPUTE STATISTICS; Table analyzed SQL> SELECT count(*) FROM courses 2 WHERE course_subject='medicine' 3 AND course_title = 'fundamentals of human anatomy'; COUNT(*) ----------98304 Execution Plan ---------------------------------------------------------0 SELECT STATEMENT Optimizer=CHOOSE (Cost=74 Card=1 Bytes=39) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (FULL) OF 'COURSES' (Cost=74 Card=24596 Bytes=959244) Statistics ---------------------------------------------------------290 recursive calls 0 db block gets 792 consistent gets 334 physical reads 0 redo size 381 bytes sent via SQL*Net to client 499 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 6 sorts (memory) 0 sorts (disk) 1 rows processed SQL> In this listing, the first item, recursive calls, refers to additional statements Oracle needs to make when it s processing a user s SQL statement.

For example, Oracle issues recursive calls (or recursive SQL statements) to make space allocations or to query the data dictionary tables on disk In our example, Oracle made 290 internal calls during the SQL Trace period..

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SQL Trace is an Oracle utility that helps you trace the execution of SQL statements. TKPROF is another Oracle utility that helps you format the trace files output by SQL Trace into a readable form. Although the EXPLAIN PLAN facility gives you the expected execution plan, the SQL Trace tool gives you the actual execution results of a SQL query. Sometimes, you may not be able to identify the exact code, say, for dynamically generated SQL. SQL Trace files can capture the SQL for dynamic SQL. Among other things, SQL Trace enables you to track the following variables:

CPU and elapsed times Parsed and executed counts for each SQL statement Number of physical and logical reads Execution plan for all the SQL statements Library cache hit ratios

If your application has a lot of dynamically generated SQL, the SQL Trace utility is ideal for tuning the SQL statements.