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The profiling package DBMS_PROFILER stores the statistics it collects during its use in memory, until you call its flush_data() method, at which point, it moves the statistics to three tables: PLSQL_PROFILER_RUNS: Holds information about a particular run. PLSQL_PROFILER_UNITS: Holds the names of program units for a particular run. PLSQL_PROFILE_DATA: Holds the profiling statistics for every line of each program unit accessed in a particular run. Your Oracle system administrator or DBA must create these tables globally using the profload.sql script, or in the schema you re logged in to using the proftab.sql script, before you try to use the profiler. In addition, you must have the same rights granted to your username as you need for debugging. You can find detailed information about the DBMS_PROFILER package and these three tables in Oracle s PL/SQL Packages and Types Reference. Let s look at the package s methods next.

STDEV([Column1], [Column2],[Column3])

gist is the engine that performs the actual searches, and it is an implementation of the Berkeley Generalized Search Tree (find more details about gist at http://gistcsberkeley edu/) The command for adding a gist index on the product table is CREATE INDEX idx_search_vector ON product USING gist(search_vector); 3 Populate the search_vector field of product with the search vectors These search vectors are lists of the words to be searchable for each product For HatShop, we ll consider the words that appear in the product s name and the product s description, giving more relevance to those appearing in the name This way, if more products match a particular search string, those with matches in the name will be shown at the top of the results list.

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The DBMS_PROFILER package has seven methods, of which you must use at least three to profile an application. Here are the three I am referring to: start_profiler(): Initializes and starts a profiling run in order to collect statistics. You can specify a description for the run so you can identify the run number after the run, or you can use an overloaded version of the method that returns the run number when you start the run.

At this step, we also filter the so-called stop-words (also called noise words), which aren t relevant for searches, such as the, or, in, and so on The following command sets the search vector for each product using the to_tsvector function (which creates the search vector) and setweight (used to give higher relevance to the words in the name): UPDATE product SET search_vector = setweight(to_tsvector(name), 'A') || to_tsvector(description);.

stop_profile(): Stops a previously started run. flush_data(): Stores the statistics for the current run into three tables: PLSQL_PROFILER_RUNS, PLSQL_PROFILER_UNITS, and PLSQL_PROFILER_DATA. To start a profiling session, you need to execute procedure start_profiler() in your PL/SQL program unit where you want to start collecting performance statistics. To stop collecting statistics, you need to execute stop_profile(), usually followed by flush_data(), in order to permanently store the statistics in the profiler s tables. Listing 7-16 is a SQL*Plus script that can run any anonymous PL/SQL script with profiling turned on. Listing 7-16. A Script to Execute Another Script with Profiling, run_profile.sql 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 rem run_profile.sql rem by Donald J. Bales on 12/15/2006 rem Capture DBMS_PROFILER information for the specified script define script="&1"; set verify off; declare n_run_number number;

=STDEV([Small], [Medium],[Large], [Extra Large], [2X])

begin DBMS_PROFILER.start_profiler( '&script'||' on '||to_char(SYSDATE, 'YYYYMMDD HH24MISS'), ' ', n_run_number); pl('DBMS_PROFILER run_number = '||to_char(n_run_number)); end; / @&script execute DBMS_PROFILER.stop_profiler; execute DBMS_PROFILER.flush_data; set verify on;

The A parameter of setweight gives highest relevance to words appearing in the product s name. For detailed information about how these functions work, refer to The tsearch2 Reference at http://www.sai.msu.su/~megera/postgres/gist/tsearch/V2/docs/ tsearch2-ref.html. You can find a tsearch2 guide at http://rhodesmill.org/brandon/ projects/tsearch2-guide.html and an excellent article at http://www.devx.com/ opensource/Article/21674. For an example, see Table 5-1, which shows the search vector for the Santa Jester Hat. Note the vector retains the positions of the words (although we don t really need this), and the A relevance factor is added to the words from the product s name. Also note that various forms of the same word are recognized (see fit for example) and that the stop-words aren t taken into consideration. Table 5-1. The Search Vector for a Product

To execute the script, type the name of the script in Listing 7-16 followed by the name of the script you wish to execute after the SQL*Plus prompt, as follows: SQL> @run_profile.sql <script_name>

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