Скачать или смотреть How to Use GROUP BY in PostgreSQL to Filter Rows with NULL Values

Learn how to effectively use the `GROUP BY` statement in PostgreSQL to filter rows where a specific column is NULL.
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Mastering the GROUP BY Statement in PostgreSQL

When working with databases, effectively retrieving specific data can often feel like a puzzle. A common task is to identify records from a table where certain conditions are met; for example, finding entries with NULL values in a specific column. This task can become even more complicated in PostgreSQL when using the GROUP BY clause. Today, we will tackle a specific challenge: how to return all rows from a table where the marks are consistently NULL for particular students and classes. Let’s delve into this problem and explore the solution step by step.

The Problem

Consider a scenario where you have a table named report in your PostgreSQL database. The structure of this table looks like this:

StudentClassMarksObservation_timeA11121/7/2020A21318/7/2020B11917/7/2020A11715/7/2020B11521/7/2020C1NAN10/7/2015C1NAN11/7/2015C2810/7/2015C2011/7/2015D1NAN10/7/2015D1NAN11/7/2015D2NAN10/7/2015D2NAN11/7/2015From this table, you want to select distinct student-class combinations where the Marks were always NAN (or NULL) regardless of the observation time. The expected output would be:

StudentClassC1D1D2The Solution

Using DISTINCT with a Simple WHERE Clause

One straightforward way to begin solving this problem is by using the DISTINCT operator in a SQL query that specifically checks for NULL values. The query would look like this:

[[See Video to Reveal this Text or Code Snippet]]

Explanation: This query selects unique combinations of Student and Class from the report table while filtering out any rows where Marks is not NULL. The DISTINCT operator will ensure there are no duplicate entries in the result.

Filtering Groups with GROUP BY and HAVING

Another method to achieve this goal involves using the GROUP BY clause along with the HAVING statement. This approach is particularly powerful when working with datasets where you want to aggregate data based on specific groups. Here’s how you can implement it:

[[See Video to Reveal this Text or Code Snippet]]

Explanation:

GROUP BY Student, Class: This part of the query groups the results by Student and Class fields.

HAVING COUNT() = COUNT() FILTER (WHERE Marks IS NULL): Here, we use the HAVING clause to ensure that the number of rows for each group matches the count of rows where Marks is NULL. This condition will only return groups where all entries for that student and class combination have NULL marks.

Conclusion

In summary, filtering for specific conditions in a PostgreSQL table using the GROUP BY statement can be efficiently handled with the right SQL queries. By employing either the DISTINCT keyword or a combination of GROUP BY and HAVING, you can extract precise information that meets your requirements.

Now you can confidently run these queries in PostgreSQL to achieve your desired results. Happy querying!