I have a sql query for my MYSQL DB and want to limit the results to only 10 sales people instead of 20. I have tried inserting their names inside the query but keep getting error. Also is it possible to rank according to total. The sql query I am using is:
select sales_id, totalbuy, totalsell, totalbuy + totalsell as total from
(select sales_id, SUM(CASE WHEN side= 'buy' THEN 1 ELSE 0 END) AS totalbuy,
SUM(CASE WHEN side= 'sell' THEN 1 ELSE 0 END) AS totalsell
from sales_id where sales_id='sales1', GROUP BY sales_id)q
where it says sales1 I have attempted to add the remaining 9 sales_ids' using a comma and single quotes but can't get it to work.
If you want certain sales_id only, use the "IN " clause.
if you wanna only the top 10 total, remove that line and use LIMIT
select sales_id, totalbuy, totalsell, totalbuy + totalsell as total from
(select owner_id, SUM(CASE WHEN side= 'buy' THEN 1 ELSE 0 END) AS totalbuy,
SUM(CASE WHEN side= 'sell' THEN 1 ELSE 0 END) AS totalsell
from sales_id
where sales_id in ('sales1', 'sales2', 'sales3', 'sales4')-- if you wanna certain sales_id only
GROUP BY sales_id)q
order by total desc
limit 0, 10;--top 10 by total (bigger first)
Related
I've got a simple query which brings up wins, draws and losses in a head-to-head matches table.
SELECT
SUM(CASE WHEN score_w > score_m THEN 1 ELSE 0 END) AS wins_w,
SUM(CASE WHEN score_m > score_w THEN 1 ELSE 0 END) AS wins_m,
SUM(CASE WHEN score_w = score_m THEN 1 ELSE 0 END) AS draws
FROM 6dos7me3xn8
All is well. I get a single row, with the data I need as columns.
Now I want to also pull out a group concat'd list of the most recent three match dates. I tried:
SELECT
SUM(CASE WHEN mn.score_w, 0) > mn.score_m THEN 1 ELSE 0 END) AS wins_w,
SUM(CASE WHEN mn.score_m > mn.score_w THEN 1 ELSE 0 END) AS wins_m,
SUM(CASE WHEN mn.score_w = mn.score_m THEN 1 ELSE 0 END) AS draws,
GROUP_CONCAT(jn.date) AS recent
FROM 6dos7me3xn8 mn
JOIN (SELECT date FROM 6dos7me3xn8 ORDER BY date DESC LIMIT 3) jn
...but the LIMIT is having no effect, seemingly - I get all of the dates group concat'd, not just 3.
I also tried removing the JOIN and replacing the GROUP_CONCAT with
GROUP_CONCAT((SELECT date FROM 6dos7me3xn8 ORDER BY date DESC LIMIT 3)) AS recent
...but that errors with 'Subquery returns more than 1 row.'
I'm sure it's something simple, but what am I doing wrong?
If you are running MySQL 8.0, you can do this with window functions:
select
sum(score_w > score_m) as wins_w,
sum(score_m > score_w) as wins_m,
sum(score_w = score_m) as draws,
group_concat(case when rn <= 3 then date end) as recent
from (
select t.*, row_number() over(order by date desc) rn
from `6dos7me3xn8` t
) t
The subquery ranks records by descending date; we can then use that information in the outer query. Note that you don't need the case expressions: MySQL evaluates true/false conditions as 1/0 in numeric contet.
In earlier versions, the simpler approach is probably a row-limiting subquery:
select
sum(score_w > score_m) as wins_w,
sum(score_m > score_w) as wins_m,
sum(score_w = score_m) as draws,
(select group_concat(date) from (select date from `6dos7me3xn8` order by date desc limit 3) t) as recent
from `6dos7me3xn8`
You are doing a cross join. TO get the most recent three dates, you can use:
FROM (SELECT mn.*, DENSE_RANK() OVER (ORDER BY date desc) as seqnum
FROM 6dos7me3xn8 mn
) mn
WHERE seqnum <= 3
You have no ON clause to specify the relationship between the subquery and the table you're joining it to. So you get a full cross product.
You also need ORDER BY to make it return the 3 most recent dates, not any 3 dates.
SELECT
SUM(CASE WHEN mn.score_w, 0) > mn.score_m THEN 1 ELSE 0 END) AS wins_w,
SUM(CASE WHEN mn.score_m > mn.score_w THEN 1 ELSE 0 END) AS wins_m,
SUM(CASE WHEN mn.score_w = mn.score_m THEN 1 ELSE 0 END) AS draws,
GROUP_CONCAT(jn.date) AS recent
FROM 6dos7me3xn8 mn
JOIN (
SELECT DISTINCT date
FROM 6dos7me3xn8
ORDER BY date DESC
LIMIT 3
) jn ON jn.date = mn.date
We have a table with data from different nodes and one of the column will have status report as "compliant or non-compliant", sample data as below
I want to filter the table in such a way that if any of the checks on a node shows non compliant, it should be flagged as non-compliant and rest as compliant. Using below query i am able to do it
SELECT COUNT(*) AS total_nodes,
SUM(fully_compliant = 0) AS Non_compliant_nodes,
SUM(fully_compliant = 1) AS compliant_nodes
FROM (
SELECT Node, CASE WHEN SUM(Status = 'Compliant') = COUNT(*) THEN 1 ELSE 0 END AS fully_compliant
FROM your_table GROUP BY Node
)
Now, i want to group and split the result by dept as below, how can i achieve this
I think you're looking for this:
select dept,
count(*) as total_nodes,
sum(case when non_compliant_chk = 0 then 1 else 0 end) as compliant_nodes,
sum(case when non_compliant_chk > 0 then 1 else 0 end) as non_compliant_nodes
from (
select dept,
node,
sum(case when 'Non-Compliant' then 1 else 0 end) as non_compliant_chk
from your_table
group by dept,
node
) v
group by dept;
With few modifications to what Brian suggested, I am able to get the desired result
select dept,
count(*) as total_nodes,
sum(case when non_compliant_chk = 0 then 1 else 0 end) as compliant_nodes,
sum(case when non_compliant_chk > 0 then 1 else 0 end) as non_compliant_nodes
from (
select dept,
node,
COUNT(CASE WHEN Compliance-Status = 'Non-Compliant' THEN 1 END) 'non_compliant_chk'
from table WHERE DOR >= DATE(NOW()) - INTERVAL 7 DAY
group by Dept,
Node
) v
group by Dept;
Objective 1:
Your sales data is stored in the Purchases table.
Your sales staff wants to see the sales data in a pivoted form, broken down by quarter.
If your Purchases table doesn't have sales data, create some. Be sure the data spans four quarters.
Next, write a query to pivot the data as follows:
Album Q1 Q2 Q3 Q4
OK Computer 2 5 3 7
Sea Change 8 6 2 1
Do not create a separate table or a view. Do not alter any tables.
Save your query as dba1lesson10project1.sql and hand in the project.
This is What I need to do. But, the table it wants me to work with looks like this. And it states in the assignment I cannot alter it at all.
CustomerID DateOfPurchase SongID
1 2007-03-31 3
3 2007-06-30 4
4 2007-09-30 4
5 2007-12-31 5
I have tried
SELECT SongID,
SUM(CASE WHEN DateOfPurchase = '2007-03-31' THEN DateOfPurchase ElSE 0 END) AS 'Q1',
SUM(CASE WHEN DateOfPurchase = '2007-06-30' THEN DateOfPurchase ELSE 0 END) AS 'Q2',
SUM(CASE WHEN DateOfPurchase = '2007-09-30' THEN DateOfPurchase ELSE 0 END) AS 'Q3',
SUM(CASE WHEN DateOfPurchase = '2007-12-31' THEN DateOfPurchase ELSE 0 END) AS 'Q4'
FROM Purchases
GROUP BY SongID;
Along with other variants:
SELECT SongID,
SUM(CASE WHEN DateOfPurchase = '2007-03-31' THEN CustomerID ElSE 0 END) AS 'Q1',
SUM(CASE WHEN DateOfPurchase = '2007-06-30' THEN CustomerID ELSE 0 END) AS 'Q2',
SUM(CASE WHEN DateOfPurchase = '2007-09-30' THEN CustomerID ELSE 0 END) AS 'Q3',
SUM(CASE WHEN DateOfPurchase = '2007-12-31' THEN CustomerID ELSE 0 END) AS 'Q4'
FROM Purchases
GROUP BY SongID;
And:
SELECT SongID,
SUM(CASE WHEN DateOfPurchase = '2007-03-31' THEN SongID ElSE 0 END) AS 'Q1',
SUM(CASE WHEN DateOfPurchase = '2007-06-30' THEN SongID ELSE 0 END) AS 'Q2',
SUM(CASE WHEN DateOfPurchase = '2007-09-30' THEN SongID ELSE 0 END) AS 'Q3',
SUM(CASE WHEN DateOfPurchase = '2007-12-31' THEN SongID ELSE 0 END) AS 'Q4'
FROM Purchases
GROUP BY SongID;
Which, the last 2 almost get me what I need. But, there is only one purchase per SongID and Quarter. They show me either the CustomerID or SongID instead. I have a basic understand of what I need to do. But without being able to alter the table to show how many purchases there have actually been I'm not sure what to do. Any suggestions?
Your current query is very close, I would suggest a few minor changes. You are hard-coding the date but what happens if you have a date in quarter one that is not equal to 2007-03-31 it won't show up.
I would use the QUARTER() function in MySQL, this will return the quarter 1-4 based on the date value.
Second, I don't think you want to sum the SongID, in your CASE expression I would replace the SongID with 1 similar to the following:
SELECT SongID,
SUM(CASE WHEN Quarter(DateOfPurchase) = 1 THEN 1 ElSE 0 END) AS Q1,
SUM(CASE WHEN Quarter(DateOfPurchase) = 2 THEN 1 ELSE 0 END) AS Q2,
SUM(CASE WHEN Quarter(DateOfPurchase) = 3 THEN 1 ELSE 0 END) AS Q3,
SUM(CASE WHEN Quarter(DateOfPurchase) = 4 THEN 1 ELSE 0 END) AS Q4
FROM Purchases
GROUP BY SongID;
See SQL Fiddle with Demo
You can do this quarterly report easily using MySQL Pivot table generator.
While creating your report, you will be asked to add the "Column settings "
Please choose the "Purchasing table" as the "Table", the column that contains the date values as the "Field" . Once selecting a date value, a function menu should appear, please select "Quarter" to get your pivot table divided in quarters as you requested. please note that you have the option to create a report for one specific year if you like and in this case you should check the "Exact Year" Box and add a specific year otherwise leave the "Exact year" box unchecked .
The final report will be able to see something like this report :
http://mysqlpivottable.net/MySQL-Pivot-Table-Demo/tables/Quarterly_Sales_Report/
I have a table which looks something like the following...
id price condition sell
21039 20.40 new 0
21039 20.41 used 1
12378 10.40 new 1
12378 5 used 0
45898 30.30 new 1
45898 12.20 used 0
(note: there will only ever be 1 new and used value for each id)
What I am trying to do is group all rows with the same id number but in the process creating new columns for each condition, which should look something like...
id new_price new_sell used_price new_sell
21039 20.40 0 20.41 1
12378 10.40 1 5 0
45898 30.30 1 12.20 0
All that I have come up with is the following query, which looks silly
SELECT id, price, condition,
IF(price > 3, 1, 0) AS sell
FROM products
GROUP BY id
How can I get the desired affect of the 2nd table.
This is known as a pivot table. It is done with a series of CASE statements for each column you need to produce, along with an aggregate MAX() or SUM() to eliminate NULLs and collapse it down to a single row.
SELECT
id,
SUM(CASE WHEN `condition` = 'new' THEN price ELSE 0 END) AS new_price,
SUM(CASE WHEN `condition` = 'new' THEN sell ELSE 0 END) AS new_sell,
SUM(CASE WHEN `condition` = 'used' THEN price ELSE 0 END) AS used_price,
SUM(CASE WHEN `condition` = 'used' THEN sell ELSE 0 END) AS used_sell
FROM
products
GROUP BY id
Without the SUM() and GROUP BY, you would still get 2 rows per id, with each having half its columns (not matched by condition in the CASE) as NULL. The SUM() (could also use MAX() in this case) eliminates the NULLs and produces one row since aggregate functions exclude NULL values while the GROUP BY groups the rows by id.
Here is a working sample on SQLFiddle.com
Update after comment:
To calculate sell based on the price, just replace the condition in the sell CASE statements:
SELECT
id,
SUM(CASE WHEN `condition` = 'new' THEN price ELSE 0 END) AS new_price,
SUM(CASE WHEN `condition` = 'new' AND price > 3 THEN 1 ELSE 0 END) AS new_sell,
SUM(CASE WHEN `condition` = 'used' THEN price ELSE 0 END) AS used_price,
SUM(CASE WHEN `condition` = 'used' AND price > 3 THEN 1 ELSE 0 END) AS used_sell
FROM
products
GROUP BY id
(Updated sample...)
In SQL how do you show 0 if record is null?
select sales_id, totalbuy, totalsell, totalbuy + totalsell as total from
(select sales_id, SUM(CASE WHEN side= 'buy' THEN 1 ELSE 0 END) AS totalbuy,
SUM(CASE WHEN side= 'sell' THEN 1 ELSE 0 END) AS totalsell
from car_orders
where sales_id in ('sales1', 'sales2', 'sales3', 'sales4')only
GROUP BY sales_id)q
order by total desc
limit 0, 10;
After car_orders I have tried inserting*(car_orders+ISNULL(car_orders,0)) but get an error.
Building from Sohnee's answer, here is the SQL I think you want to use:
SELECT
sales_id,
IFNULL(totalbuy, 0),
IFNULL(totalsell, 0),
IFNULL(totalbuy, 0) + IFNULL(totalsell, 0) as total
FROM
(
SELECT
sid as sales_id,
SUM(CASE WHEN side = 'buy' THEN 1 ELSE 0 END) AS totalbuy,
SUM(CASE WHEN side = 'sell' THEN 1 ELSE 0 END) AS totalsell
FROM
( SELECT 'sales1' as sid UNION SELECT 'sales2' UNION SELECT 'sales3' UNION SELECT 'sales4' ) mysalesids
LEFT OUTER JOIN car_orders
ON sales_id = sid
GROUP BY
sales_id
) q
ORDER BY total DESC
LIMIT 0, 10;
The key to the above is the "LEFT OUTER JOIN". If you can have the 'sales1', 'sales2', 'sales3' values in their own table, that would be preferable rather than having a sub-select.
Hope this helps,
john...
When you use +, both arguments must be of the same type. I can't tell from your question what car is, but I assume it isn't compatible with a 0.
It is better to use CONCAT in these cases.
CONCAT(car, IFNULL(car_orders, 0))
If car_orders is a table, it isn't valid here - you must use a column, i.e. car_orders.MyColumn
How To Use IFNULL
I don't think you can end up with a null here, given your query, buy you would use IFNULL like this:
SELECT
sales_id,
IFNULL(totalbuy, 0),
IFNULL(totalsell, 0),
IFNULL(totalbuy, 0) + IFNULL(totalsell, 0) as total
FROM
(
SELECT
sales_id,
SUM(CASE WHEN side = 'buy' THEN 1 ELSE 0 END) AS totalbuy,
SUM(CASE WHEN side = 'sell' THEN 1 ELSE 0 END) AS totalsell
FROM
car_orders
WHERE
sales_id in ('sales1', 'sales2', 'sales3', 'sales4')
GROUP BY
sales_id
) q
ORDER BY total DESC
LIMIT 0, 10;