Usage of distinct and matching of distinct and phrase sharing

DISTINCT is not just a deduplication tool, it can also effectively optimize query performance and process data. Use DISTINCT to count the number of unique rows (COUNT(DISTINCT column_name)), sort by unique rows (DISTINCT column1, column2 ORDER BY column1), and combine index and subquery to optimize performance.

Exploring DISTINCT in SQL: It's not just about deduplication

Many developers first learn about DISTINCT and think it is a simple tool for deduplication. But in fact, the beauty of DISTINCT is much more than that. It has many unknown techniques in optimizing query performance and flexible processing of data. This article will take you into the world of DISTINCT and see what tricks it can play.

The essence of DISTINCT : a unique perspective

The DISTINCT keyword is used to remove duplicate rows from the result set. This sounds simple, but its underlying mechanism is worth exploring. Database systems usually use data structures such as indexes or hash tables to efficiently implement DISTINCT function. If your table has the right index, DISTINCT will be very efficient; conversely, if the table is large and there is no right index, DISTINCT may cause performance problems, and you need to consider optimization strategies, such as adding indexes or using other methods to reduce the amount of data. It's like looking for books in a huge library. If the library has a complete catalog (index), it's easy to find the book you want (the only line); if there is no catalog, you may need to read it one by one.

DISTINCT and other keyword combination

The power of DISTINCT is that it can be cleverly combined with other SQL keywords to achieve more powerful functions. For example, DISTINCT is often used with COUNT , and the number of unique rows in the result set is counted: SELECT COUNT(DISTINCT column_name) FROM table_name; This statement can quickly calculate the number of different values ​​in a certain column, and is very commonly used in data analysis. For example, DISTINCT can be used in combination with ORDER BY to sort unique rows: SELECT DISTINCT column1, column2 FROM table_name ORDER BY column1; This can ensure that the unique rows in the result set are sorted by the specified column, making the results easier to understand and process.

Code Example: Witness the Power of DISTINCT

Let's use a simple example to feel the charm of DISTINCT . Suppose there is a table named users , which contains three columns: id , name and city :

 <code class="sql">CREATE TABLE users ( id INT PRIMARY KEY, name VARCHAR(255), city VARCHAR(255) ); INSERT INTO users (id, name, city) VALUES (1, 'Alice', 'New York'), (2, 'Bob', 'London'), (3, 'Alice', 'Paris'), (4, 'Charlie', 'New York'), (5, 'Bob', 'London'); -- 获取所有不同的城市SELECT DISTINCT city FROM users; -- 获取所有不同的用户名和城市组合SELECT DISTINCT name, city FROM users; -- 统计不同城市的个数SELECT COUNT(DISTINCT city) FROM users;</code>

This code shows several common uses of DISTINCT . Note that DISTINCT acts on the entire SELECT list, not a single column. Therefore, SELECT DISTINCT name, city will return the only famous city combination, rather than deduplication of name and city separately.

Performance Optimization and Traps

When using DISTINCT , you need to pay attention to potential performance issues. If the result set is large, DISTINCT operation consumes a lot of resources. At this time, we can consider using indexes, subqueries, or other optimization techniques to improve efficiency. In addition, understanding the execution plan of the database is crucial to optimizing DISTINCT queries. You can use the tools provided by the database to analyze the execution plan of the query, identify performance bottlenecks and optimize.

Experience: Flexible use, twice the result with half the effort

DISTINCT is not all-purpose, but it is a very useful tool. Proficiency in using DISTINCT and combined with other SQL techniques can help you write more efficient and elegant SQL queries. Remember, understanding data structures and database mechanisms is the key to writing good SQL, and DISTINCT is just a powerful tool in your arsenal. Only by practicing more and thinking more can you truly control it.

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