I'm on SQL Server 2014 and I have a list of building ID's with various totals columns. I would like to add a row of totals for the building.
Can the following desired output be done in SQL? If so, what's the best way? I need to learn how to this for various projects. I don't need LevelID totals, just for the other columns, and I'm not sure if we can add the text 'BuildingTotal' in the totals row.
Desired Output:
SQL Fiddle:
Here is the code for a test table in case SQL Fiddle doesn't work.
CREATE TABLE EMPLOYEES
(
BuildingID Numeric,
LevelID Numeric,
FemaleEmp Numeric,
MaleEmp Numeric,
TotalEmpByLevel Numeric
)
INSERT INTO EMPLOYEES
(BuildingID, LevelID, FemaleEmp, MaleEmp, TotalEmpByLevel)
VALUES
(111, 1,91, 89, 180),
(111, 2,98, 94, 192),
(111, 3,94, 113 , 207),
(111, 4,110, 119, 229),
(111, 5,107, 9, 203),
(113, 1,53, 4, 101),
(113, 2,51, 5, 106),
(113, 3,68, 5, 119),
(113, 4,58, 6, 118),
(113, 5,57, 6, 117),
(114, 1,25, 3, 56 ),
(114, 2,26, 3, 63 ),
(114, 3,32, 2, 61 ),
(114, 4,27, 3, 58 ),
(114, 5,26, 2, 49 ),
(116, 1,84, 102 , 186),
(116, 2,83, 92, 175),
(116, 3,89, 87, 176),
(116, 4,71, 91, 162),
(116, 5,87, 72, 159)
Thank you for your help!
One method is to use grouping sets or with rollup. This requires a little trick, though. You need an aggregation query:
select BuildingId, LevelId, sum(FemaleEmp) as FemaleEmp,
sum(MaleEmp) as MaleEmp, sum(TotalEmpByLevel) as TotalEmpByLevel
from employees
group by grouping sets((BuildingId, LevelId), (BuildingId));
You can add the word Total to the lines. This is a bit tricky, because the types are different:
select (case when grouping(LevelId) = 1 then 'Building Total' else cast(BuildingId as varchar(255)) end) as BuildingId,
LevelId, sum(FemaleEmp) as FemaleEmp,
sum(MaleEmp) as MaleEmp, sum(TotalEmpByLevel) as TotalEmpByLevel
from employees
group by grouping sets((BuildingId, LevelId), (BuildingId));
Try Group by with rollup
This is link with example
Related
I have these tables below along with the definition. I want to find top 10 products sold in a year after finding counts and without using aggregation and in an optimized way. I want to know if aggregation is still needed or I can accomplish it without using aggregation. Below is the query. Can anyone suggest a better approach.
CREATE TABLE Customer (
id int not null,
first_name VARCHAR(30),
last_name VARCHAR(30),
Address VARCHAR(60),
State VARCHAR(30),
Phone text,
PRIMARY KEY(id)
);
CREATE TABLE Product (
ProductId int not null,
name VARCHAR(30),
unitprice int,
BrandID int,
Brandname varchar(30),
color VARCHAR(30),
PRIMARY KEY(ProductId)
);
Create Table Sales (
SalesId int not null,
Date date,
Customerid int,
Productid int,
Purchaseamount int,
PRIMARY KEY(SalesId),
FOREIGN KEY (Productid) REFERENCES Product(ProductId),
FOREIGN KEY (Customerid) REFERENCES Customer(id)
)
Sample Data:
insert into
Customer(id, first_name, last_name, address, state, phone)
values
(1111, 'andy', 'johnson', '123 Maryland Heights', 'MO', 3211451234),
(1112, 'john', 'smith', '237 Jackson Heights', 'TX', 3671456534),
(1113, 'sandy', 'fleming', '878 Jersey Heights', 'NJ', 2121456534),
(1114, 'tony', 'anderson', '789 Harrison Heights', 'CA', 6101456534)
insert into
Product(ProductId, name, unitprice, BrandId, Brandname)
values
(1, 'watch',200, 100, 'apple'),
(2, 'ipad', 429, 100, 'apple'),
(3, 'iphone', 799, 100, 'apple'),
(4, 'gear', 300, 110, 'samsung'),
(5, 'phone',1000, 110, 'samsung'),
(6, 'tab', 250, 110, 'samsung'),
(7, 'laptop', 1300, 120, 'hp'),
(8, 'mouse', 10, 120, 'hp'),
(9, 'monitor', 400, 130, 'dell'),
(10, 'keyboard', 40, 130, 'dell'),
(11, 'dvddrive', 100, 130, 'dell'),
(12, 'dvddrive', 90, 150, 'lg')
insert into
Sales(SalesId, Date, CustomerID, ProductID, Purchaseamount)
values (30, '01-10-2019', 1111, 1, 200),
(31, '02-10-2019', 1111, 3, 799),
(32, '03-10-2019', 1111, 2, 429),
(33, '04-10-2019', 1111, 4, 300),
(34, '05-10-2019', 1111, 5, 1000),
(35, '06-10-2019', 1112, 7, 1300),
(36, '07-10-2019', 1112, 9, 400),
(37, '08-10-2019', 1113, 5, 2000),
(38, '09-10-2019', 1113, 4, 300),
(39, '10-10-2019', 1113, 3, 799),
(40, '11-10-2019', 1113, 2, 858),
(41, '01-10-2020', 1111, 1, 400),
(42, '02-10-2020', 1111, 2, 429),
(43, '03-10-2020', 1112, 7, 1300),
(44, '04-10-2020', 1113, 7, 2600),
(45, '05-10-2020', 1114, 7, 1300),
(46, '06-10-2020', 1114, 7, 1300),
(47, '07-10-2020', 1114, 9, 800)
Tried this:
SELECT PCY.Name, PCY.Year, PCY.SEQNUM
FROM (SELECT P.Name AS Name, Extract('Year' from S.Date) AS YEAR, COUNT(P.Productid) AS CNT,
RANK() OVER (PARTITION BY Extract('Year' from S.Date) ORDER BY COUNT(P.Productid) DESC) AS RANK
FROM Sales S inner JOIN
Product P
ON S.Productid = P.Productid
) PCY
WHERE PCY.RANK <= 10;
I am seeing this error:
ERROR: column "p.name" must appear in the GROUP BY clause or be used in an aggregate function
LINE 2: FROM (SELECT P.Name AS Name, Extract('Year' from S.Date) AS ...
^
SQL state: 42803
Character: 52
I don't understand why you don't want to use an aggregate function when you have to aggregate over your data. This query works fine, without any issues on the GROUP BY:
WITH stats AS (
SELECT EXTRACT
( YEAR FROM DATE ) AS y,
P.productid,
P.NAME,
COUNT ( * ) numbers_sold,
RANK ( ) OVER ( PARTITION BY EXTRACT ( YEAR FROM DATE ) ORDER BY COUNT ( * ) DESC ) r
FROM
product
P JOIN sales S ON S.Productid = P.Productid
GROUP BY
1,2
)
SELECT y
, name
, numbers_sold
FROM stats
WHERE r <= 10;
This works because the productid is the primary key that has a functional dependency to the product name.
By the way, tested on version 12, but it should work on older and newer versions as well.
Unable to pivot multiple columns in snowflake.
This works:
--DROP TABLE "PUBLIC".MONTHLY_SALES
create or replace table monthly_sales(empid int, amount int, month text)
as select * from values
(1, 10000, 'JAN'),
(1, 400, 'JAN'),
(2, 4500, 'JAN'),
(2, 35000, 'JAN'),
(1, 5000, 'FEB'),
(1, 3000, 'FEB'),
(2, 200, 'FEB'),
(2, 90500, 'FEB'),
(1, 6000, 'MAR'),
(1, 5000, 'MAR'),
(2, 2500, 'MAR'),
(2, 9500, 'MAR'),
(1, 8000, 'APR'),
(1, 10000, 'APR'),
(2, 800, 'APR'),
(2, 4500, 'APR');
SELECT * FROM monthly_sales
pivot(
sum(amount)
for month in ('JAN', 'FEB', 'MAR', 'APR')
) AS p;
But I receive an error when adding an additional aggregate
SELECT * FROM monthly_sales
pivot(
sum(amount)
, count(amount)
for month in ('JAN', 'FEB', 'MAR', 'APR')
) AS p;
QL Error [1003] [42000]: SQL compilation error:
syntax error line 4 at position 5 unexpected ','.
syntax error line 4 at position 12 unexpected '('.
syntax error line 5 at position 45 unexpected ')'.
Any guidance is appreciated
Felipe is right, you can only use one aggregate in PIVOT
But based on what you are trying to achieve, this query might be helpful.
SELECT 'SUM' RECORD_TYPE, * FROM (SELECT * FROM monthly_sales
pivot(
SUM(amount)
for month in ('JAN', 'FEB', 'MAR', 'APR')
) AS p)
UNION ALL
SELECT 'COUNT', * FROM (SELECT * FROM monthly_sales
pivot(
count(amount)
for month in ('JAN', 'FEB', 'MAR', 'APR')
) AS p)
Output:
Row RECORD_TYPE EMPID 'JAN' 'FEB' 'MAR' 'APR'
1 SUM 1 10400 8000 11000 18000
2 SUM 2 39500 90700 12000 5300
3 COUNT 1 2 2 2 2
4 COUNT 2 2 2 2 2
According to the documentation of PIVOT in Snowflake, you can only get one aggregate:
SELECT ...
FROM ...
PIVOT ( <aggregate_function> ( <pivot_column> )
FOR <value_column> IN ( <pivot_value_1> [ , <pivot_value_2> ... ] ) )
[ ... ]
https://docs.snowflake.com/en/sql-reference/constructs/pivot.html
If you post a different question asking with sample input and output, we can try to work out a solution for this.
As for this question, I don't know how I would represent two different aggregates in a relational table. But at least we can answer why you are getting a syntax error: Multiple aggregates is not a supported syntax by PIVOT.
This question already has answers here:
Get top 1 row of each group
(19 answers)
Closed 2 years ago.
I'm having list of rows with a column EffectiveOn in SQL Server database table. I want to fetch the currently applicable EffectiveOn for each AccountId respective to current date. Consider the following table
In the above table I have to fetch the rows whose (Id: 11 to 15) because the current date (i.e., today) is 2020-11-19
I tried the following solution but I can't How do I get the current records based on it's Effective Date?
Kindly assist me how to get the expected result-set.
Sample Data:
CREATE TABLE [dbo].[DataInfo]
(
[Id] INT NOT NULL,
[AccountId] INT NOT NULL,
[EffectiveOn] DATE NOT NULL
)
GO
INSERT INTO [dbo].[DataInfo](Id, AccountId, EffectiveOn)
VALUES (1, 1, '2020-01-01'), (2, 2, '2020-01-02'), (3, 3, '2020-01-03'), (4, 4, '2020-01-04'), (5, 5, '2020-01-05'),
(6, 1, '2020-05-01'), (7, 2, '2020-05-02'), (8, 3, '2020-05-03'), (9, 4, '2020-05-04'), (10, 5, '2020-05-05'),
(11, 1, '2020-10-01'), (12, 2, '2020-10-02'), (13, 3, '2020-10-03'), (14, 4, '2020-10-04'), (15, 5, '2020-10-05'),
(16, 1, '2021-02-01'), (17, 2, '2021-02-02'), (18, 3, '2021-02-03'), (19, 4, '2021-02-04'), (20, 5, '2021-02-05')
You can use a correlated subquery to get the most recent date as of a particular date:
select di.*
from datainfo di
where di.effectiveon = (select max(di2.effecctiveon)
from datainfo di2
where di2.accountid = di.accountid and
di2.effectiveon < getdate()
);
You can also do this with window functions:
select di.*
from (select di.*,
row_number() over (partition by accountid order by effective on desc) as seqnum
from datainfo di
where di.effectiveon < getdate()
) di
where seqnum = 1;
Just struggling with this question.
Write a query that selects the following details about the sides that have been ordered in orders:
• The side ID number and side name.
• How many orders the side has been ordered in (regardless of quantity).
I have created a view already and this is the table for it (ordered_sides_details is the name of the view)
View Table
I've wrttien this query but I believe it just counts the number of rows instead of how many times each side is ordered.
SELECT ordered_sides_details.side_name, COUNT(*)
FROM ordered_sides_details
GROUP BY ordered_sides_details.side_name;
This is the resulting table
Obviously its incorrect as 1.25L Coke has only been in 1 order.
Any help with solving this would be awesome. Thanks.
Solution
There must be something wrong with view you've created.
This should be enough to yield proper results:
SELECT
side_id
,side_name
,COUNT(*) AS total_count
FROM dbo.orders
GROUP BY side_id, side_name
Boostrapping (SQL Server)
Scripts for bootstrapping your example:
IF NOT EXISTS (SELECT 1 FROM sys.tables t WHERE t.object_id = OBJECT_ID('dbo.orders'))
BEGIN
CREATE TABLE orders
(
order_id INT,
side_id INT NOT NULL,
side_name NVARCHAR(100) NOT NULL,
ordered_quantity INT NOT NULL,
total_cost MONEY NOT NULL
);
END;
INSERT INTO orders (order_id, side_id, side_name, ordered_quantity, total_cost)
VALUES
(10, 1, '390ml Coke', 1, 3.00),
(5, 2, '1.25l Coke', 2, 10.00),
(8, 3, 'Lava Cake', 3, 8.85),
(7, 4, 'Chicken Wings', 4, 14.00),
(6, 5, 'Garlic Bread', 4, 7.80),
(5, 6, 'Healthy Kale Chips', 3, 16.50),
(5, 6, 'Healthy Kale Chips', 2, 11.00),
(4, 5, 'Garlic Bread', 1, 1.95),
(3, 4, 'Chicken Wings', 1, 3.50),
(2, 3, 'Lava Cake', 2, 5.90);
I'm trying to create a calculated column in SQL. Basically I need to get a set of distinct dates and determine how many customers there are in the population on that particular date. The result should be something like:
Date______| Customers
2016-01-01 | 1
2016-01-01 | 2
2016-01-05 | 3
2016-02-09 | 4
etc.
I created a sample database & data (using MySQL as I don't have permission to create tables in our Oracle dbs) with the following script:
create database customer_example;
use customer_example;
create table customers (
customer_id int not null primary key,
customer_name varchar(255) not null,
term_date DATE);
create table employee (
employee_id int not null primary key,
employee_name varchar(255) not null);
create table cust_emp (
ce_id int not null AUTO_INCREMENT,
emp_id int not null,
cust_id int not null,
start_date date,
end_date date,
deleted_yn boolean,
primary key (emp_id, cust_id, ce_id),
foreign key (cust_id) references customers(customer_id),
foreign key (emp_id) references employee(employee_id));
insert into customers (customer_id, customer_name)
values (1, 'Bobby Tables'), (2, 'Grover Cleveland'), (3, 'Chester Arthur'), (4, 'Jan Bush'), (5, 'Emanuel Porter'), (6, 'Darren King'), (7, 'Casey Mcguire'), (8, 'Robin Simpson'), (9, 'Robin Tables'), (10, 'Mitchell Arnold');
insert into customers (customer_id, customer_name, term_date)
values (11, 'Terrell Graves', '2017-01-01'), (12, 'Richard Wagner', '2016-10-31'), (13, 'Glenn Saunders', '2016-11-19'), (14, 'Bruce Irvin', '2016-03-11'), (15, 'Glenn Perry','2016-06-06'), (16, 'Hazel Freeman', '2016-07-10'),
(17, 'Martin Freeman', '2016-02-11'), (18, 'Morgan Freeman', '2017-02-01'), (19, 'Dirk Drake', '2017-01-12'), (20, 'Fraud Fraud', '2016-12-31');
insert into employee (employee_id, employee_name)
values (1000, 'Cedrick French'), (1001, 'Jane Phillips'), (1002, 'Brian Green'), (1003, 'Shawn Brooks'), (1004, 'Clarence Thomas');
insert into cust_emp (emp_id, cust_id, start_date, end_date)
values (1000, 1, '2016-01-01', '2016-02-01'), (1000, 1, '2016-02-01', '2016-02-01'), (1000, 2,'2016-01-05', '2016-01-16'),(1000, 3,'2016-02-09', '2016-03-14'),(1000, 4,'2016-03-20', '2016-04-23'),
(1000, 5,'2016-01-01', '2016-01-16'),(1000, 6,'2016-01-01', '2016-01-16'),(1004, 7, '2016-01-14', '206-01-16'),
(1004, 8, '2016-01-13', '2016-01-16'),(1004, 9, '2016-01-05', '2016-01-16'), (1003, 12, '2016-04-21', '2016-11-30');
insert into cust_emp (emp_id, cust_id, start_date, deleted_yn)
values (1002, 11, '2016-04-10', TRUE),(1003, 10, '2016-01-16', FALSE), (1004, 12, '2016-04-20', TRUE), (1004, 12, '2016-04-19', FALSE), (1003, 13, '2016-06-06', TRUE), (1002, 14, '2016-06-10', TRUE),
(1004, 15, '2016-03-25', TRUE), (1004, 17, '2016-01-02', TRUE), (1004, 18, '2017-01-01', TRUE), (1004, 19, '2016-11-13', TRUE), (1004, 20, '2016-03-10', TRUE), (1004, 16, '2016-05-13', TRUE);
insert into cust_emp (emp_id, cust_id, start_date)
values (1002, 1, '2016-02-01'), (1004, 2, '2016-01-16'),(1003, 3, '2016-03-14'),(1002, 4, '2016-04-23'),(1004, 5, '2016-01-16'),(1002, 6, '2016-01-16'),(1004, 7, '2016-01-16'),
(1004, 8, '2016-01-16'),(1002, 9, '2016-01-16'), (1004, 10, '2016-01-16');
The following SQL works fine in MySQL but when I try it in Oracle, I get an 'invalid identifier' on 'dates':
select distinct(ce.start_date) as dates,
(select count(distinct(c.customer_id))
from customers c
inner join cust_emp ce on c.customer_id = ce.cust_id
where ce.start_date < dates
and (ce.end_date > dates or (ce.deleted_yn = false or ce.deleted_yn is null))
and (c.term_date > dates or c.term_date is null)
)
from cust_emp as ce;
It seems as though this is because the dates is too far in a subquery. I've tried a CTE as well, but that seems to have the same issue as it gave the same error. How can I re-write this so that I can assess how many customers were there for each date in Oracle?
Huh?
Isn't this what you want?
select ce.dates as dates, count(distinct c.customer_id)
from cust_emp ce join
customers c
on c.customer_id = ce.cust_id
where ce.start_date < ce.dates and
(ce.end_date > ce.dates or ce.deleted_yn = false or ce.deleted_yn is null) and
(c.term_date > ce.dates or c.term_date is null)
group by ce.dates
order by ce.dates;
I don't really understand the use of the subquery with select distinct. The logic you describe is more easily understood as a simple aggregation.
I'm not sure where dates comes from. It is not in your data model, but it is in your sample query.