Pivot Tables in MySQL
February 21, 2024
A pivot table in MySQL will transform rows into columns. It’s a solid way to generate reports. This post dives into how it works so you can display cleaner data.
How to pivot a table in MySQL?
You can pivot in MySQL by using the CASE
or IF
statements within aggregation functions like SUM()
or AVG()
. This process turns unique values from a column into multiple columns in the output, effectively aggregating the data based on your conditions.
Example
Consider a sales table with product_id
, month
, and sales_amount
columns. To create a report that shows each product's total sales for each month on a single row, you would use the following query:
SELECT product_id, SUM(CASE WHEN month = 'January' THEN sales_amount ELSE 0 END) AS January, SUM(CASE WHEN month = 'February' THEN sales_amount ELSE 0 END) AS February, SUM(CASE WHEN month = 'March' THEN sales_amount ELSE 0 END) AS March FROM sales GROUP BY product_id;
This query assigns the sales to the correct month by checking each row. It sums the sales_amount
for that month, ensuring rows without sales in a month display 0 through the ELSE 0
part of the CASE
statement.
You could ship faster.
Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.
Dynamic pivot tables
To create a pivot table that automatically adjusts to new data, such as additional months or categories, without manual updates, you'll need to use dynamic SQL. This method involves:
- Identifying unique values for column headers.
- Building a SQL string with these values as conditional statements.
- Executing the constructed SQL query.
Here's how to pivot dynamically using prepared statements in MySQL:
SET @sql = NULL; SELECT GROUP_CONCAT(DISTINCT CONCAT( 'SUM(CASE WHEN month = ''', month, ''' THEN sales_amount ELSE 0 END) AS ', CONCAT('`', month, '`') ) ) INTO @sql FROM sales; SET @sql = CONCAT('SELECT product_id, ', @sql, ' FROM sales GROUP BY product_id'); PREPARE stmt FROM @sql; EXECUTE stmt; DEALLOCATE PREPARE stmt;
This approach dynamically generates a SQL query by collating all unique months from the sales
table into a conditional sum for each, then executing the SQL.
TOC
February 21, 2024
A pivot table in MySQL will transform rows into columns. It’s a solid way to generate reports. This post dives into how it works so you can display cleaner data.
How to pivot a table in MySQL?
You can pivot in MySQL by using the CASE
or IF
statements within aggregation functions like SUM()
or AVG()
. This process turns unique values from a column into multiple columns in the output, effectively aggregating the data based on your conditions.
Example
Consider a sales table with product_id
, month
, and sales_amount
columns. To create a report that shows each product's total sales for each month on a single row, you would use the following query:
SELECT product_id, SUM(CASE WHEN month = 'January' THEN sales_amount ELSE 0 END) AS January, SUM(CASE WHEN month = 'February' THEN sales_amount ELSE 0 END) AS February, SUM(CASE WHEN month = 'March' THEN sales_amount ELSE 0 END) AS March FROM sales GROUP BY product_id;
This query assigns the sales to the correct month by checking each row. It sums the sales_amount
for that month, ensuring rows without sales in a month display 0 through the ELSE 0
part of the CASE
statement.
You could ship faster.
Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.
Dynamic pivot tables
To create a pivot table that automatically adjusts to new data, such as additional months or categories, without manual updates, you'll need to use dynamic SQL. This method involves:
- Identifying unique values for column headers.
- Building a SQL string with these values as conditional statements.
- Executing the constructed SQL query.
Here's how to pivot dynamically using prepared statements in MySQL:
SET @sql = NULL; SELECT GROUP_CONCAT(DISTINCT CONCAT( 'SUM(CASE WHEN month = ''', month, ''' THEN sales_amount ELSE 0 END) AS ', CONCAT('`', month, '`') ) ) INTO @sql FROM sales; SET @sql = CONCAT('SELECT product_id, ', @sql, ' FROM sales GROUP BY product_id'); PREPARE stmt FROM @sql; EXECUTE stmt; DEALLOCATE PREPARE stmt;
This approach dynamically generates a SQL query by collating all unique months from the sales
table into a conditional sum for each, then executing the SQL.
February 21, 2024
A pivot table in MySQL will transform rows into columns. It’s a solid way to generate reports. This post dives into how it works so you can display cleaner data.
How to pivot a table in MySQL?
You can pivot in MySQL by using the CASE
or IF
statements within aggregation functions like SUM()
or AVG()
. This process turns unique values from a column into multiple columns in the output, effectively aggregating the data based on your conditions.
Example
Consider a sales table with product_id
, month
, and sales_amount
columns. To create a report that shows each product's total sales for each month on a single row, you would use the following query:
SELECT product_id, SUM(CASE WHEN month = 'January' THEN sales_amount ELSE 0 END) AS January, SUM(CASE WHEN month = 'February' THEN sales_amount ELSE 0 END) AS February, SUM(CASE WHEN month = 'March' THEN sales_amount ELSE 0 END) AS March FROM sales GROUP BY product_id;
This query assigns the sales to the correct month by checking each row. It sums the sales_amount
for that month, ensuring rows without sales in a month display 0 through the ELSE 0
part of the CASE
statement.
You could ship faster.
Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.
Dynamic pivot tables
To create a pivot table that automatically adjusts to new data, such as additional months or categories, without manual updates, you'll need to use dynamic SQL. This method involves:
- Identifying unique values for column headers.
- Building a SQL string with these values as conditional statements.
- Executing the constructed SQL query.
Here's how to pivot dynamically using prepared statements in MySQL:
SET @sql = NULL; SELECT GROUP_CONCAT(DISTINCT CONCAT( 'SUM(CASE WHEN month = ''', month, ''' THEN sales_amount ELSE 0 END) AS ', CONCAT('`', month, '`') ) ) INTO @sql FROM sales; SET @sql = CONCAT('SELECT product_id, ', @sql, ' FROM sales GROUP BY product_id'); PREPARE stmt FROM @sql; EXECUTE stmt; DEALLOCATE PREPARE stmt;
This approach dynamically generates a SQL query by collating all unique months from the sales
table into a conditional sum for each, then executing the SQL.
What is Basedash?
What is Basedash?
What is Basedash?
Basedash is the best MySQL admin panel
Basedash is the best MySQL admin panel
Basedash is the best MySQL admin panel
If you're building with MySQL, you need Basedash. It gives you an instantly generated admin panel to understand, query, build dashboards, edit, and share access to your data.
If you're building with MySQL, you need Basedash. It gives you an instantly generated admin panel to understand, query, build dashboards, edit, and share access to your data.
If you're building with MySQL, you need Basedash. It gives you an instantly generated admin panel to understand, query, build dashboards, edit, and share access to your data.
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