A re-imagining of SQL in a sensible order. Compiles to SQL. Would love to play around with it more, I've wanted something like this for a long time.
from employees # Each line transforms the previous result. filter start_date > @2021-01-01 # Clear date syntax. derive [ # `derive` adds columns / variables. gross_salary = salary + payroll_tax, gross_cost = gross_salary + benefits_cost # Variables can use other variables. ] filter gross_cost > 0 group [title, country] ( # `group` runs a pipeline over each group. aggregate [ # `aggregate` reduces a column to a row. average salary, sum salary, average gross_salary, sum gross_salary, average gross_cost, sum_gross_cost = sum gross_cost, # `=` sets a column name. ct = count, ] ) sort [sum_gross_cost, -country] # `-country` means descending order. filter ct > 200 take 20
which compiles to the equivalent of this SQL query:
SELECT TOP 20 title, country, AVG(salary) AS average_salary, SUM(salary) AS sum_salary, AVG(salary + payroll_tax) AS average_gross_salary, SUM(salary + payroll_tax) AS sum_gross_salary, AVG(salary + payroll_tax + benefits_cost) AS average_gross_cost, SUM(salary + payroll_tax + benefits_cost) AS sum_gross_cost, COUNT(*) AS ct FROM employees WHERE start_date > DATE('2021-01-01') AND salary + payroll_tax + benefits_cost > 0 GROUP BY title, country HAVING COUNT(*) > 200 ORDER BY sum_gross_cost, country DESC
derive means, given the previous results, create these new columns. Being able to do multiple
filter pairs would be so nice!
In golang, I think the best way to integrate this tool would be to use it at code generation time? Looks like the work has not been done there yet, this project is v new.