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RETRIEVAL: FUNCTIONS
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Listing 5-14. Using the REGEXP_LIKE Function SQL> select 'found!' as result from dual 2 where regexp_like('&text', '^.a{1,2}.+$', 'i'); Enter value for text: bar RESULT -----found! SQL> / Enter value for text: BAARF RESULT -----found! SQL> / Enter value for text: ba no rows selected SQL> The results of Listing 5-14 show that the pattern means the following: the first character is arbitrary, followed by at least one and at most two a characters, followed by one or more arbitrary characters, while ignoring the differences between uppercase and lowercase. By the way, Listing 5-14 shows that REGEXP_LIKE is a Boolean function; its result is TRUE or FALSE.
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REGEXP_INSTR
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Listing 5-15 uses the REGEXP_INSTR function to search for history comments with nine or more words. It looks for at least nine nonempty (+) substrings that do not contain spaces ([^ ]). Listing 5-15. Using the REGEXP_INSTR Function select comments from history where regexp_instr(comments, '[^ ]+', 1, 9) > 0; COMMENTS -----------------------------------------------------------Not a great trainer; let's try the sales department! Sales also turns out to be not a success... Hired as the new manager for the accounting department Junior sales rep -- has lots to learn... :-)
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Notice that the last row of the result contains only seven actual words. It is found because the text strings -- and :-) are counted as words.
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REGEXP_SUBSTR
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Listing 5-16 demonstrates searching for comments between parentheses, using the REGEXP_SUBSTR function. The search pattern looks for a left parenthesis, followed by at least one character not equal to a right parenthesis, followed by a right parenthesis. Note that you need the backslash character (\) to suppress the special meaning of the parentheses. Listing 5-16. Using the REGEXP_SUBSTR Function select , from where comments regexp_substr(comments, '\([^\)]+\)') as substring history comments like '%(%';
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COMMENTS -----------------------------------------------------------SUBSTRING -----------------------------------------------------------Project (half a month) for the ACCOUNTING department (half a month)
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REGEXP_REPLACE
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Listing 5-17 shows how you can use the REGEXP_REPLACE function to replace all words starting with an f with a question mark. Listing 5-17. Using the REGEXP_REPLACE Function select regexp_replace(comments, ' f[a-z]* ',' ',1,1,'i') from history where regexp_like(comments, ' f[a-z]* ','i'); REGEXP_REPLACE(COMMENTS,'F[A-Z]*',' ',1,1,'I') ------------------------------------------------------------------Hired as the new manager the accounting department Founder and employee of the company Project (half a month) the ACCOUNTING department Notice that you must specify values for all function arguments if you want to make the replacement case-insensitive, including default values for pos and occurrence. The WHERE clause ensures that the query returns only the matching rows.
RETRIEVAL: FUNCTIONS
5.5 Date Functions
Before discussing the various Oracle date functions, let s first review the syntax to specify date/timerelated constants (or literals), using predefined ANSI/ISO SQL standard formats. Table 5-7 shows the syntax for the literals and examples. Table 5-7. Syntax for Date/Time-Related Constants
Literal
DATE 'yyyy-mm-dd' TIMESTAMP 'yyyy-mm-dd hh24:mi:ss.ffffff' [AT TIME ZONE '...'] TIMESTAMP 'yyyy-mm-dd hh24:mi:ss.ffffff {+|-}hh:mi' INTERVAL 'expr' <qualifier>
Example
DATE '2004-09-25' TIMESTAMP '2004-09-25 23:59:59.99999' AT TIME ZONE 'CET' TIMESTAMP '2004-09-25 23:59:59.99 -5:00'
INTERVAL '1' YEAR INTERVAL '1 2:3' DAY TO MINUTE
You can experiment with this syntax by entering the following query, using the SQL*Plus ampersand (&) substitution method (as in Listing 5-14): elect &input_date from dual; If you simply enter an alphanumeric string, such as '21-JUN-04', you must rely on an implicit conversion by Oracle. This implicit conversion succeeds or fails depending on the NLS_DATE_FORMAT and NLS_TIMESTAMP_FORMAT parameter settings for your session. If you want to see an overview of all current NLS parameter settings for your session, you can use the following query: select * from nls_session_parameters; If you execute this query, you will see the current values for NLS_DATE_FORMAT and NLS_TIMESTAMP_FORMAT. Table 5-8 shows the most commonly used Oracle date functions.
RETRIEVAL: FUNCTIONS
Table 5-8. Common Oracle Date Functions
Function
ADD_MONTHS(d, n) MONTHS_BETWEEN(d, e) LAST_DAY(d) NEXT_DAY(d, weekday) NEW_TIME(d, z1, z2) ROUND(d[, fmt]) TRUNC(d[, fmt]) EXTRACT(c FROM d)
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