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Date functions are some of the most widely used functions available for use in SharePoint lists. With date functions, you can subtract dates to find out the difference in days; you can calculate what weekday a specific date is; and you can extract year, month, day, hour, minute, and second values from dates and times. With these functions, you can do analyses and projections based on date data. For example, let s say an expense must be submitted by the fifth day of the month after the expense was incurred in order to be paid that month. Using the MONTH function, you could automatically calculate the next month based on the expense date. Table 5-5 shows you more about the date and time functions.

6 Santa Jester Hat This three-prong velvet jester is one size fits all and has an adjustable touch fastener back for perfect fitting.

For example, to profile TYPE DEBUG_O and table package DEBUG_OTS, I executed the script passing in the name of my test unit script, debug_ots.sql: SQL> @run_profile.sql debug_ots.sql Here s the output from executing the script in SQL*Plus: SQL> @run_profile debug_ots.sql DBMS_PROFILER run_number = 4 PL/SQL procedure successfully completed.

'fit':13,24 'hat':3A 'one':11 'back':21 'size':12 'prong':7 'santa':1A 'three':6 'touch':19 'adjust':18 'fasten':20 'jester':2A,9 'velvet':8 'perfect':23 'three-prong':5

PL/SQL procedure successfully completed. run_profile.sql displays the run number for a profile run on the screen, so you can then run a report to view the profiling data.

DATE([Year], [Month],[Day])

Note When adding new products to the table or updating existing products, you ll need to be sure to also

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I find two profiling reports helpful: one to display the average percent of processing time in descending order, and another to order average time consumption by program unit and line number. The SQL*Plus script avg_profile.sql, shown in Listing 7-17, displays what percent of processing time was consumed by each program unit and line of code, in the descending order of time consumption. Listing 7-17. A Script to Create an Average Percent Profiling Report, avg_profile.sql 01 02 03 04 05 06 07 08 09 10 11 12 rem avg_profile.sql rem by Donald J. Bales on 12/15/2006 rem Create a DBMS_PROFILER report by avg desc define runid="&1"; column column column column column avg_pct line# occur text unit_name format format format format format 990.99; 9999; 9999 a42 trunc; a11;

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(re)create their search vectors. The index that parses these vectors does its job automatically, but the vector itself must be manually created. You ll take care of this in 7, where you ll add catalog administration features. Until then, if you change your products manually, just execute the previous SQL command to update the search vectors.

Returns a particular date based on year, month, and day columns. Returns an integer corresponding to the day of the week using Sunday (1) through Saturday (7) as the default. For Monday (1) through Sunday (7), use =WEEKDAY ([Column1],2); for Monday (0) through Sunday (6), use =WEEKDAY ([Column1],3). Extracts the year from a date. Extracts the month from a date. Extracts the day from a date. Decimal representation of the time of day. Extracts the hour from a date value. Extracts the minutes from a date value. Extracts the seconds from a date value.

1000; 1; 32767; on; off;

Now that you ve built the search vector for each product, let s see how to use it for searching. For performing the search, once again, there are three steps that you need to take: 1. Build a search string that expresses what exactly you are looking for. This can contain Boolean operators; we ll use & (AND) when doing all-words searches, and | (OR) when doing any-words searches. 2. Apply the to_tsquery function on the query string. This prepares the query string into a form that can be used for searching.

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