What are wildcards?
Wildcards are characters that help search data matching complex
criteria. Wildcards are used in conjunction with the LIKE comparison
operator or the NOT LIKE comparison operator.
MySQL Wildcards : Like, NOT Like, Escape, ( % ), ( _ )
Before we answer that question, let's look at an example. Suppose that the marketing department of Myflix video library carried out marketing promotions in the city of Texas and would like to get some feedback on the number of members
that registered from Texas, you can use the following SELECT statement together with the WHERE clause to get the desired information.
In short, wildcards allow us to develop power search engines into our data driven applications.
HERE
Suppose we want to get all the movies that have the word "code" as part of the title, we would use the percentage wildcard to perform a pattern match on both sides of the word "code". Below is the SQL statement that can be used to achieve the desired results.
Executing the above script in MySQL workbench against the myflixdb gives us the results shown below.
Let's now modify our above script to include the percentage wildcard at the beginning of the search criteria only.
Executing the above script in MySQL workbench against the myflixdb gives us the results shown below.
Notice that only one record has been returned from the database. This
is because our code matches any number of characters at the beginning of
the movie title and gets only records that end with the pattern "code".
Let's now shift the percentage wildcard to the end of the specified pattern to be matched. The modified script is shown below.
Notice only one record has been returned from the database. This is
because our code matches all titles that start with the pattern "code"
followed by any number of characters.
Suppose we want to get movies that were not released in the year 200x.
We would use the NOT logical operator together with the underscore
wildcard to get our results. Below is the script that does that.
Let's suppose that we want to check for the string "67%" we can use;
If we want to search for the movie "67% Guilty", we can use the script shown below to do that.
Note the double "%%" in the LIKE clause, the first one in red "%" is treated as part of the string to be searched for. The other one is used to match any number of characters that follow.
The same query will also work if we use something like
MySQL Wildcards : Like, NOT Like, Escape, ( % ), ( _ )
Why use WildCards ?
If you are familiar with using the SQL, you may think that you can search for any complex data using SELECT and WHERE clause . Then why use Wildcards ?Before we answer that question, let's look at an example. Suppose that the marketing department of Myflix video library carried out marketing promotions in the city of Texas and would like to get some feedback on the number of members
that registered from Texas, you can use the following SELECT statement together with the WHERE clause to get the desired information.
SELECT * FROM members WHERE postal_address = 'Austin , TX' OR postal_address = Dallas , TX OR postal_address = Iola,TX OR postal_adress = Houston ,TX';As you can see from the above query, the "WHERE clause" becomes complex. Using wildcards however, simplifies the query as we can use something simple like the script shown below.
SELECT * FROM members WHERE postal_address like '% TX';
Types of wildcards
% the percentage
% the percentage character is used to specify a pattern of zero (0) or more characters. It has the following basic syntax.SELECT statements... WHERE fieldname LIKE 'xxx%';
- "SELECT statement..." is the standard SQL SELECT command.
- "WHERE" is the key word used to apply the filter.
- "LIKE" is the comparison operator that is used in conjunction with wildcards
- 'xxx' is any specified starting pattern such as a single character or more and "%" matches any number of characters starting from zero (0).
Suppose we want to get all the movies that have the word "code" as part of the title, we would use the percentage wildcard to perform a pattern match on both sides of the word "code". Below is the SQL statement that can be used to achieve the desired results.
SELECT * FROM movies WHERE title LIKE '%code%';
Notice that even if the search key word "code" appears on the beginning or end of the title, it is still returned in our result set. This is because our code includes any number of characters at the beginning then matches the pattern "code" followed by any number of characters at the end.
movie_id title director year_released category_id 4 Code Name Black Edgar Jimz 2010 NULL 7 Davinci Code NULL NULL 6
Let's now modify our above script to include the percentage wildcard at the beginning of the search criteria only.
SELECT * FROM movies WHERE title LIKE '%code';
movie_id title director year_released category_id 7 Davinci Code NULL NULL 6
Let's now shift the percentage wildcard to the end of the specified pattern to be matched. The modified script is shown below.
SELECT * FROM movies WHERE title LIKE 'code%';
Executing the above script in MySQL workbench against the myflixdb gives us the results shown below.
movie_id title director year_released category_id 4 Code Name Black Edgar Jimz 2010 NULL
_ underscore wildcard
The underscore wildcard is used to match exactly one character. Let's suppose that we want to search for all the movies that were released in the years 200x where x is exactly one character that could be any value. We would use the underscore wild card to achieve that. The script below select all the movies that were released in the year "200x"SELECT * FROM movies WHERE year_released LIKE '200_';Executing the above script in MySQL workbench against the myflixdb gives us the results shown below.
Notice that only movies that have 200 follows by any character in the field year released have been returned in our result set. This is because the underscore wildcard matched the pattern 200 followed by any single character
movie_id title director year_released category_id 2 Forgetting Sarah Marshal Nicholas Stoller 2008 2 9 Honey mooners Jhon Shultz 2005 8
NOT Like
The NOT logical operator can be used together with the wildcards to return rows that do not match the specified pattern.SELECT * FROM movies WHERE year_released NOT LIKE '200_';
Notice only movies that do not start with 200 in the year released have been returned in our result set. This is because we used the NOT logical operator in our wildcard pattern search.
movie_id title director year_released category_id 1 Pirates of the Caribean 4 Rob Marshall 2011 1 4 Code Name Black Edgar Jimz 2010 NULL 8 Underworld-Awakeninh Michahel Eal 2012 6
Escape keyword.
The ESCAPE keyword is used to escape pattern matching characters such as the (%) percentage and underscore (_) if they form part of the data.Let's suppose that we want to check for the string "67%" we can use;
LIKE '67#%%' ESCAPE '#';
SELECT * FROM movies WHERE title LIKE '67#%%' ESCAPE '#';
The same query will also work if we use something like
SELECT * FROM movies WHERE title LIKE '67=%%' ESCAPE '=';
Summary
- Like & Wildcards powerful tools that help search data matching complex patterns.
- There are a number of wildcards that include the percentage, underscore and charlist(not supported by MySQL ) among others
- The percentage wildcard is used to match any number of characters starting from zero (0) and more.
- The underscore wildcard is used to match exactly one character.
0 comments:
Post a Comment