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Filtering results with LIKE and IN

From: MySQL Essential Training

Video: Filtering results with LIKE and IN

The where clause also supports two operators that are specific to SQL, the Let's take a look at this, we'll use the world database here, so using the like So we have all of these names that have the So you'll notice the percent signs.

Filtering results with LIKE and IN

The where clause also supports two operators that are specific to SQL, the like operator is used to match particular values or patterns in a column. Let's take a look at this, we'll use the world database here, so using the like operator, i can do something like this, SELECT Name, Continent. And population from country where name like, and give it a pattern.

We'll order by name. So when I press go, we'll get a list of the 18 rows that match this pattern where the word island is somewhere in the name. So we have all of these names that have the word island or islands because, island is included in islands. So Virgin Islands, we have the Sandwich Islands, Solomon Islands, Norfolk Island. All of those have the word island in them someplace. So you'll notice the percent signs.

One there, and we have one here. The percent sign is a wild card in this context. It matches 0 or more characters in a row. So by putting percent signs before and after the string. I've matched all the strings with island anywhere in them. I could match only those strings that end with island by eliminating the percent sign at the end of the string, like this. And now, I'll only get the ones with the word, island, at the end. So I won't get. Cayman Islands because there's an s there and island is not at the end.

So when I press go, you see there's really only three that match having island at the end of the string. Now alternately, I can put that percent back at the end and I can eliminate the percent at the beginning. And I'll only get those rows where island is at the beginning and you'll notice we have none of those so we got no result what so ever because there aren't any countries that begin with the world island. You can also match a single character by using the underscore like this. So. I can say underscore A percent and that will get anything with an A in the second position.

Any letter in the first position the letter a in the second position and anything after it. So we got all of these countries. There's 57 of them that have an A in the second character. So there's one more operator you should know about for filter results and this is the in operator. The in operator is used to select results that match values in a list like this. So instead of like, we're going to say we're continent in. Europe.

Asia. So I'm giving it a little list. It just has two in the list this time. And this is a list of continents. And when I select Go, I get all of the countries that are either in Europe or Asia like that. So, the IN operator is used to select results that match values in a list. And the list, in this case, is a literal list with parentheses and literal strings in commas. The IN operator is also used for subselects. And subselects.

Are covered in a later lesson in this course. So the liken in operators allow you to refine your searches beyond the normal boolean operators. This adds power and flexibility to the where clause. My SQL allows matching values based on regular expressions as well, and I'll cover that in the next lesson.

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MySQL Essential Training

60 video lessons · 6686 viewers

Bill Weinman
Author

 
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  1. 4m 22s
    1. Welcome
      1m 3s
    2. Using the exercise files
      1m 31s
    3. What is MySQL?
      1m 48s
  2. 45m 37s
    1. Installation overview
      3m 16s
    2. Installing XAMPP on Windows
      5m 55s
    3. Installing XAMPP on the Mac
      6m 38s
    4. Setting up MySQL users
      11m 31s
    5. Installing SID on Windows
      5m 43s
    6. Installing SID on the Mac
      6m 6s
    7. Installing time zone support in MySQL on Windows
      6m 28s
  3. 45m 43s
    1. The SELECT statement
      3m 57s
    2. Selecting rows
      4m 57s
    3. Selecting columns
      3m 8s
    4. Sorting results with ORDER BY
      2m 58s
    5. Filtering results with WHERE
      3m 52s
    6. Filtering results with LIKE and IN
      3m 41s
    7. Filtering results with regular expressions
      8m 21s
    8. Inserting rows
      4m 9s
    9. Updating rows
      2m 21s
    10. Deleting rows
      2m 25s
    11. Literal strings
      3m 12s
    12. Understanding NULL
      2m 42s
  4. 41m 47s
    1. Creating a database
      4m 30s
    2. Creating a table
      7m 18s
    3. Creating indexes
      6m 8s
    4. Controlling column behavior with constraints
      4m 46s
    5. Creating an ID column
      6m 58s
    6. Using foreign key constraints
      7m 58s
    7. Altering a table
      4m 9s
  5. 28m 56s
    1. What are data types?
      4m 1s
    2. Numeric types
      5m 21s
    3. String types
      2m 58s
    4. Date and time types
      7m 2s
    5. Bit type
      2m 26s
    6. Boolean values
      2m 15s
    7. Enumeration types
      4m 53s
  6. 32m 34s
    1. String functions
      6m 57s
    2. Numeric functions
      6m 2s
    3. Date and time functions
      4m 12s
    4. Time zones in MySQL
      3m 37s
    5. Formatting dates
      1m 51s
    6. Aggregate functions
      5m 45s
    7. Flow control with CASE
      4m 10s
  7. 7m 6s
    1. Maintaining database integrity with transactions
      4m 46s
    2. Using transactions for performance
      2m 20s
  8. 16m 49s
    1. Updating a table with a trigger
      5m 11s
    2. Preventing automatic updates with a trigger
      7m 29s
    3. Logging transactions with a trigger
      4m 9s
  9. 14m 11s
    1. Creating a simple subselect
      3m 23s
    2. Searching within a result set
      3m 53s
    3. Creating a view
      3m 32s
    4. Creating a joined view
      3m 23s
  10. 12m 26s
    1. Understanding MySQL stored routines
      2m 0s
    2. Creating a stored function
      4m 34s
    3. Creating a stored procedure
      5m 52s
  11. 14m 4s
    1. The multi-platform PDO interface
      3m 44s
    2. Executing the SQL
      4m 8s
    3. Implementing auto-increment IDs
      2m 3s
    4. Using a stored funciton
      4m 9s
  12. 1m 3s
    1. Goodbye
      1m 3s

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