From c5fcc6ab8c15de91ee7de18235fc12e184c94226 Mon Sep 17 00:00:00 2001 From: Phone Thiri Yadana Date: Thu, 6 May 2021 14:45:28 +0800 Subject: [PATCH] completed till Framing window function --- .../06_Advanced_SQL.sql | 221 +++++++++++++++++- .../UsingFrameInWindowFunction.png | Bin 0 -> 205683 bytes 2 files changed, 216 insertions(+), 5 deletions(-) create mode 100644 Complete SQL & Databases - ZTM/UsingFrameInWindowFunction.png diff --git a/Complete SQL & Databases - ZTM/06_Advanced_SQL.sql b/Complete SQL & Databases - ZTM/06_Advanced_SQL.sql index a14fd31..66bbcdc 100644 --- a/Complete SQL & Databases - ZTM/06_Advanced_SQL.sql +++ b/Complete SQL & Databases - ZTM/06_Advanced_SQL.sql @@ -12,6 +12,7 @@ JOIN departments d ON d.dept_no = de.dept_no GROUP BY d.dept_no ORDER BY 1; +/*------------------------------------------------------------------------------------------------------------*/ /************ 2) HAVING Keyword *************/ /* @@ -45,6 +46,7 @@ GROUP BY d.dept_name HAVING COUNT(e.emp_no) > 25000 ORDER BY 1; +/*------------------------------------------------------------------------------------------------------------*/ /********** 3) Ordering Group Data **********/ SELECT d.dept_name AS "Department Name" ,COUNT(e.emp_no) AS "Number Of Employee" @@ -56,13 +58,17 @@ HAVING COUNT(e.emp_no) > 25000 ORDER BY 2 DESC; -/********* 4) Group by Mental Model ***********/ +/********* 4) GROUP BY Mental Model ***********/ + /* What are the 8 employees who got the most salary bumps? */ -- SELECT e.emp_no, CONCAT(e.first_name, e.last_name) AS "Name", s.salary, s.from_date, s.to_date SELECT emp_no, MAX(from_date) FROM salaries GROUP BY emp_no; + +/*------------------------------------------------------------------------------------------------------------*/ + /*********** 5) GROUPING SETS**********/ /******* UNION / UNION ALL *********/ @@ -81,20 +87,25 @@ GROUP BY emp_no; */ SELECT NULL AS "prod_id", sum(ol.quantity) FROM orderlines AS ol + UNION + SELECT prod_id AS "prod_id", sum(ol.quantity) FROM orderlines AS ol GROUP BY prod_id ORDER BY prod_id DESC; +/*------------------------------------------------------------------------------------------------------------*/ + /*********** GROUPING SETS ***********/ /* A Subclause of GROUP BY that allows you to define multiple grouping It is very useful when we want to combine multiple grouping */ --- same result as using above UNION code -SELECT NULL AS "prod_id", sum(ol.quantity) +-- same result as using above UNION code, but in same query +-- here we are combining Two Sets (one for getting Total, one for per each product) +SELECT prod_id, sum(ol.quantity) FROM orderlines AS ol GROUP BY GROUPING SETS( @@ -103,8 +114,9 @@ GROUP BY ) ORDER BY prod_id DESC; + /* we can add in multiple groups as we need */ -SELECT NULL AS "prod_id", orderlineid, sum(ol.quantity) +SELECT prod_id, orderlineid, sum(ol.quantity) FROM orderlines AS ol GROUP BY GROUPING SETS( @@ -112,4 +124,203 @@ GROUP BY (prod_id), (orderlineid) ) -ORDER BY prod_id DESC, orderlineid DESC; \ No newline at end of file +ORDER BY prod_id DESC, orderlineid DESC; + +/*------------------------------------------------------------------------------------------------------------*/ + +/************ GROUPING SETS for info from High Level to Details Level ***********/ + +SELECT + EXTRACT(YEAR FROM orderdate) AS "YEAR", + EXTRACT(MONTH FROM orderdate) AS "MONTH", + EXTRACT(DAY FROM orderdate) AS "DAY", + SUM(quantity)AS "TOTAL QUANTITY" +FROM orderlines +GROUP BY + GROUPING SETS( + (EXTRACT(YEAR FROM orderdate)), -- yearly + (EXTRACT(MONTH FROM orderdate)), -- monthly + (EXTRACT(DAY FROM orderdate)), -- daily + ( + EXTRACT(YEAR FROM orderdate), -- month and year + EXTRACT(MONTH FROM orderdate) + ), + ( + EXTRACT(MONTH FROM orderdate), -- month and day + EXTRACT(DAY FROM orderdate) + ), + ( + EXTRACT(YEAR FROM orderdate), -- year, month and day + EXTRACT(MONTH FROM orderdate), + EXTRACT(DAY FROM orderdate) + ), + () -- nothing in particular (TOTAL AMOUNT) + ) +ORDER BY 1,2,3; + +/*------------------------------------------------------------------------------------------------------------*/ + +/************ 6) ROLLUP ***************/ + +/* roll up can provide a very similar result as above using grouping sets, but with less code */ +SELECT + EXTRACT(YEAR FROM orderdate) AS "YEAR", + EXTRACT(MONTH FROM orderdate) AS "MONTH", + EXTRACT(DAY FROM orderdate) AS "DAY", + SUM(quantity)AS "TOTAL QUANTITY" +FROM orderlines +GROUP BY + ROLLUP( + EXTRACT(YEAR FROM orderdate), + EXTRACT(MONTH FROM orderdate), + EXTRACT(DAY FROM orderdate) + ) +ORDER BY 1,2,3; + +/*------------------------------------------------------------------------------------------------------------*/ + +/******************** 8/9) WINDOW Functions ******************/ +/* + Window functions CREATE a NEW COLUMN based on functions performed on a SUBSET or "WINDOW" of the data. + + window_function(agr1, agr2) OVER( + [PARTITION BY partition_expression] + [ORDER BY sort_expression [ASC | DESC] [NULLS {FIRST | LAST}]] + ) +*/ + +-- Here we can see in the result that max salary is 158,220. Because query returns all data, then LIMIT say cut it off for 100 rows only. +-- That's why OVER() is calculated on the window or subset of data (in this case the entire data were returned). +SELECT *, + MAX(salary) OVER() +FROM salaries +LIMIT 100; + +-- in this case, the maximum salary is 69,999. Because of WHERE conditions, the data were filtered out. +-- and OVER() is using on that subset or window of the returned data (in this case the results of WHERE filtered data). +SELECT + *, + MAX(salary) OVER() +FROM salaries +WHERE salary < 70000 +ORDER BY salary DESC; + + +/******************** 10) PARTITON BY ******************/ +/* + Divide Rows into Groups to apply the function against (Optional) +*/ + +/* Employee salary compairing average salary of departments */ +SELECT + s.emp_no, s.salary,d.dept_name, + AVG(s.salary) + OVER( + PARTITION BY(d.dept_name) + ) +FROM salaries s +JOIN dept_emp de ON s.emp_no = de.emp_no +JOIN departments d ON d.dept_no = de.dept_no; + + +/******************** 11) ORDER BY ******************/ +/* + ORDER BY changes the FRAME of the window + It tells SQL to take into account of everything before up until to this point (becoming Cumulative) +*/ +-- against the window of entire data +SELECT emp_no, + COUNT(salary) OVER() +FROM salaries; + +-- using PARTION BY +-- Counting salary by each unique emp_no partion +SELECT emp_no, + COUNT(salary) OVER( + PARTITION BY(emp_no) + ) +FROM salaries; + + +-- using ORDER BY +-- Count number are becoming Cumulative +SELECT emp_no, + COUNT(salary) OVER( + ORDER BY emp_no + ) +FROM salaries; + + +/********************************* FRAME Clause *******************************************************/ +/* + When using Frame clause in a window function, we can create a SUB-RANGE or FRAME + + For example: when we use ORDER BY, we look at the PARTATIONED data in a different len (FRAME). + + NOTE: + Without ORDER BY, by default the framing is usually ALL PARTITION ROWs (Entire Window) + With ORDER BY, by default the framing is usually everything before the CURRENT ROW AND the CURRENT ROW (Cumulatively) + + |---------------------------------------------------------------------------------------------------- + | Keys | Meaning | + |---------------------------------------|-----------------------------------------------------------| + | ROWS or RANGE | Whether you want to use a RANGE or ROWS as a FRAME | + | PRECEDING | Rows Before the CURRENT ONE | + | FOLLOWING | Rows After the CURRENT ONE | + | UNBOUNDED PRECEDING or FOLLOWING | Returns All Before and After | + | CURRENT ROW | Your Current Row | + ----------------------------------------------------------------------------------------------------- +*/ + +-- In this case, we can see that every salary is unique. Because we are using ORDER BY, each row is cumulativly +-- counted within the partition of each employee's window. As a result, it like like 1, (1+1 becomes 2), etc. +SELECT emp_no, + salary, + COUNT(salary) OVER( + PARTITION BY emp_no + ORDER BY salary + ) +FROM Salaries; + + +-- This one returns the same results as using PARTION BY only. The reason is we are looking at the data through the lends of Range. +-- For range using unbounded precedning and following, we are comparing against data with the entire data within that Partition. +SELECT emp_no, + salary, + COUNT(salary) OVER( + PARTITION BY emp_no + ORDER BY salary + RANGE BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING + ) +FROM Salaries; + +-- same reults as RANGE results +SELECT emp_no, + salary, + COUNT(salary) OVER( + PARTITION BY emp_no + ORDER BY salary + ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING + ) +FROM Salaries; + + +-- same like ORDER BY +SELECT emp_no, + salary, + COUNT(salary) OVER( + PARTITION BY emp_no + ORDER BY salary + ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW + ) +FROM Salaries; + +/*------------------------------------------------------------------------------------------------------------*/ + + + + + + + + diff --git a/Complete SQL & Databases - ZTM/UsingFrameInWindowFunction.png b/Complete SQL & Databases - 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