The SQL syntax used to construct a database is as follows: CREATE DATABASE DATABASE name The first step in putting the structured tables in the database using the structured query language is to create a database. In this article, I have used xampp to work with SQL.Ĭ:\xampp\mysql\bin>mysql -h localhost -u root The complete query used to generate the data is displayed below:įirst, we shall create a path to work with MySQL. We’ll use a straightforward database with little data for this topic. In the example below, we will use ‘IN ‘for matching multiple values.Ĭommand: Select * from course where fees IN (10000,2000) For instance, numerous like statements must be used to get a list of course names starting with “Jo” and “Am,” as shown below.Ĭommand: SELECT col name from table name where course LIKE 'Jo%' OR course LIKE 'AM' In a SQL query, many like statements are possible. When used with the OR operator, the LIKE operator can pick rows from a collection of string patterns. SQL Like with Multiple Values in the Same Column: Here the records fetched that match the specific conditions are displayed.Ĭommand: select * from course where fees >=6000 The below Query fetches a fee greater than 6000 from the table course. (Or) USING IN SELECT * FROM TABLE_NAME WHERE COL_NAME IN (MATCH_VAL1, MATCH_VAL2) Use of Comparison Operator >= to Equalize the Multiple Values Multiple Values are achieved using Logical Operators.įormal syntax is given by: SELECT col1, col2. How to Use SQL Like with Multiple Values in Operator? The LIKE operator is more adaptable thanks to the accessible wildcard characters. It is an excellent method of searching when a string of characters matches one of the predetermined patterns or when we are unsure of what the user is looking for, often known as a fuzzy search. Matches a string that contains the character, has a single character at the beginning, and has any number of characters at the end. It matches a string containing the word are and ends in a single character. Matches a string that contains the letter at and has a single character before it, such as a cat. Matches strings that begin with En and end with a single character, such as Envelope, Enjoy… It matches a string whose last character is le. Matches strings that begin with that symbol. In this article, we’ll examine the LIKE clause’s functionality and how numerous criteria can be specified using it. The LIKE operator has the following syntax: Let’s look at how the LIKE operator may filter the data returned so we only get the records we want. While % percent wildcard matches zero, one, or more characters.Underscore wildcard accepts a specific character.To create a pattern, the SQL standard includes the user’s two wildcard characters: The LIKE operator determines whether an expression matches the pattern in this syntax. The supporting characters must precisely match the characters at the moment of pattern recognition. The operator first replaces a character or characters from the provided string. Two different kinds of wildcards are used in like operators in SQL. The pattern row we provided in the where and like conditions is found using the SQL LIKE operator. If a value matches a pattern, the LIKE operator returns true else, it throws an error. One of the logical operators in SQL is the LIKE operator. Overview of SQL Like with Multiple Values We can easily filter through big databases and extract the precise data we need if we become adept with the LIKE operator. The usage of wildcards gives LIKE its actual strength.It conforms to the grammar requirements of a Boolean expression. Text string patterns are matched using the LIKE operator.Hadoop, Data Science, Statistics & others Key Takeaways
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