![]() mysql> select sales_rep,sale, sale2,sale3, Then you can calculate percent of each column by totaling their values on the fly, as shown below. Mysql> insert into sales(sales_rep,sale,sale2,sale3) ![]() If your total data is spread across multiple columns, as shown below, mysql> create table sales(sales_rep varchar(255),sale int, sale2 int,sale3 int) ,round((sale/goal)*100,2) as attainment_percentīonus Read : How to Calculate Moving Average in MySQL If you want to calculate percentage of two columns only for specific rows, add WHERE clause as shown below in bold mysql> select sales_rep,sale,goal Round((sale/goal)*100,2) as attainment_percent from sales If you want to round the percent numbers to 2 decimal places, you can use the ROUND function as shown mysql> select sales_rep,sale,goal, | sales_rep | sale | goal | attainment_percent |īonus Read : How to Automate Pivot Table Queries in MySQL (sale/goal)*100 as attainment_percent from sales You can directly calculate it on the fly using division and multiplication operators, as shown below. Here’s the SQL query to calculate percentage of two columns (sale, goal). Let’s say you want to calculate attainment_percent as sale/goal*100 for each sales rep. Mysql> insert into sales(sales_rep,sale,goal) Mysql> create table sales(sales_rep varchar(255),sale int, goal int) Let’s say you have the following table – sales(sales_rep,sale,goal) Here are the SQL to calculate percentage of two columns in MySQL. How to Calculate Percentage of Two Columns in MySQL Here’s how to easily calculate percentage of two columns in MySQL. Monitoring PostgreSQL with Navicat Monitor 3.Sometimes you may need to simply calculate a percentage of two columns in MySQL databases.Trace Queries on your PostgreSQL Instances with Navicat Monitor 3.Viewing PostgreSQL Instance Details in Navicat Monitor 3.A Quick Guide to Naming Conventions in SQL - Part 2.A Quick Guide to Naming Conventions in SQL - Part 3.Selecting Distinct Values From a Relational Database.Implement Audit Trail Logging Using Triggers.Multi-Version Concurrency Control in PostgreSQL.A Guide to MySQL Foreign Key Constraints.Next week, we’ll obtain row counts from multiple tables and views. It distinguishes between a NULL representing the set of all values in a super-aggregate row (produced by a ROLLUP) from a NULL in a regular row. The “Total:” was produced using the SQL GROUPING() function, which was added in MySQL 8.0.1. You can also stack counts vertically using GROUP BY: +-+-+-+ BONUS! Grouping and Including a Grand Total This SELECT statement would yield the following: Here's one option using a separate COUNT DISTINCT for each column:ĬOUNT(DISTINCT CASE WHEN gender = 'male' THEN tel END) male_count,ĬOUNT(DISTINCT CASE WHEN gender = 'female' THEN tel END) female_count It is possible for the same 'tel' to appear multiple times, but that tel’s gender should only be counted one time. The person is identified by their telephone ('tel') number. Say that we wanted to build a query that told us how many distinct women and men there are in the table. Here’s a table that contains several users’ telephone numbers and sex (limited to two for simplicity): ![]() +-+-+ Conditional Counts using ExpressionsĪs mentioned above, COUNT() function parameters are not limited to column names function return values and expressions such as IF/CASE statements are also fair game. Invoking COUNT(*) will return the number of all rows (4) while a COUNT DISTINCT on the last_name will count each row with a duplicated last name as one, so that we get a total of 3: SELECT COUNT(*), COUNT(DISTINCT last_name) FROM clients Say that we had the following table of clients: Its syntax is: COUNT(DISTINCT expr,)Īs with the regular COUNT() function, the expr parameters above can be any given expression, including specific columns, all columns (*), function return values, or expression such as IF/CASE statements. Hence, the inclusion of the DISTINCT keyword eliminates duplicate rows from the count. The COUNT(DISTINCT) function returns the number of rows with unique non-NULL values. In today’s follow-up, we’ll use the COUNT() function in more sophisticated ways to tally unique values as well as those which satisfy a condition. In last week’s Getting Row Counts in MySQL blog we employed the native COUNT() function’s different variations to tally the number of rows within one MySQL table.
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