![]() You should post these to /r/learnsql instead. Note /r/SQL does not allow links to basic tutorials to be posted here. Please view the Wiki for online resources. Learning SQLĪ common question is how to learn SQL. COUNT () Code language: SQL (Structured Query Language) (sql) The COUNT () function returns the number of rows in a table, including the rows including NULL and duplicates. SELECT count(a.field1), a.field2, SUM(b.field4) FROM a INNER JOIN b ON a.key1 = b.key1 WHERE a.field8 = 'test' GROUP by a.field1, a.field2 HAVING SUM(b.field4) > 5 ORDER by a.field.3įor those with SQL questions we recommend using SQLFiddle to provide a useful development and testing environment for those who wish to fully understand your problem and help devise a solution. Something as simple as line breaks and using reddit's built in code formatting (4 spaces at the start of each line) can turn this: This will greatly increase your chances of receiving the help you desire. If you are including actual code in a post or comment, please attempt to format it in a way that is readable for other users. ![]() We will gladly help where we can as long as you post the work you have already done or show that you have attempted to figure it out on your own. ![]() If you are a student or just looking for help on your code please do not just post your questions and expect the community to do all the work for you. While naturally we should endeavor to work as platform neutrally as possible many questions and answers require tailoring to the feature set of a specific platform. ![]() The answer is to group the data into buckets of salary bands and count them. When requesting help or asking questions please prefix your title with the SQL variant/platform you are using within square brackets like so: What's the Frequency Distribution You might be tempted to use this query: select salary, count() from employeesalary group by 1 order by 2 desc but there are too many unique salaries in the table, and the results won't be meaningful. The goal of /r/SQL is to provide a place for interesting and informative SQL content and discussions. ![]()
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