Beginner SQL question: arithmetic with multiple COUNT(*) results

Continuing with the spirit of using the Stack Ex开发者_如何学Pythonchange Data Explorer to learn SQL, (see: Can we become our own “Northwind” for teaching SQL / databases?), I've decided to try to write a query to answer a simple question (on meta): What % of stackoverflow users have over 10,000 rep?.

Here's what I've done:

Query#1

SELECT COUNT(*)
FROM Users
WHERE
  Users.Reputation >= 10000

Result:

556

Query#2

SELECT COUNT(*)
FROM
  USERS

Result:

227691

Now, how do I put them together into one query? What is this query idiom called? What do I need to write so I can get, say, a one-row three-column result like this:

556     227691      0,00244190592

---

You can use a Common Table Expression (CTE):

WITH c1 AS (
    SELECT COUNT(*) AS cnt
    FROM Users
    WHERE Users.Reputation >= 10000
), c2 AS (
    SELECT COUNT(*) AS cnt
    FROM Users
)
SELECT c1.cnt, c2.cnt, CAST(c1.cnt AS FLOAT) / c2.cnt
FROM c1, c2

---

Apart from using CTEs, in this case you could also have done:

SELECT CAST((SELECT COUNT(*) FROM Users WHERE Users.Reputation >= 10000) AS float)  /
       (SELECT COUNT(*) FROM USERS) * 100  AS Percentage​

The cast as float was to force a floating-point division, because with integer division 556 / 227691 would give 0.

---

Thanks to the other answers here, I've written the following queries, all of which work on SEDE:

"Inline view"

SELECT *, CAST([10K] AS FLOAT)/[All] AS [Ratio]
FROM (
   SELECT
    (SELECT COUNT(*) FROM Users) AS [All],
    (SELECT COUNT(*) FROM Users Where Reputation >= 10000) AS [10K]
) AS UsersCount

(See query result)

---

Variables

DECLARE @numAll FLOAT
DECLARE @num10kers FLOAT

SET @numAll = (SELECT COUNT(*) FROM Users)
SET @num10kers = (SELECT COUNT(*) FROM Users WHERE Users.Reputation >= 10000);

SELECT  @num10kers AS [10K], @numAll AS [All], @num10Kers/@numAll AS [Ratio]

(See query result)

References

• MySQL 5.0 Reference Manual/User variables

---

Common Table Expression

WITH Users10K AS ( 
    SELECT COUNT(*) AS Count
    FROM Users
    WHERE Users.Reputation >= 10000
), UsersAll AS (
    SELECT COUNT(*) As Count
    FROM Users
)
SELECT
    Users10K.Count AS [10K],
    UsersAll.Count AS [All],
    CAST(Users10K.Count AS FLOAT) / UsersAll.Count AS [Ratio]
FROM Users10K, UsersAll

(See query result)

References

• MSDN/Common Table Expression

---

For queries like this, where I'm doing multiple counts on a single table based on different criteria, I like to use SUM and CASE:

SELECT
    UsersCount.[10K],
    UsersCount.[All],
    (CAST(UsersCount.[10K] AS FLOAT) / UsersCount.[All]) AS [Ratio]
FROM
    (SELECT
         SUM(CASE
               WHEN Users.Reputation >= 10000 THEN 1
               ELSE 0
             END) AS [10K],
         COUNT(*) AS [All]
     FROM Users) AS UsersCount

(query results)

The advantage is that you're only scanning the Users table once, which may be significantly faster.

---

WITH tmp as (
SELECT COUNT(ID) AS repCount, (SELECT COUNT(ID) FROM Users ) AS totalCount
FROM Users
WHERE Users.Reputation > 10000
)
SELECT tmp.repCount, tmp.totalCount, (cast(tmp.repCount as decimal(10,2))/tmp.TotalCount) * 100 AS Percentage
FROM tmp

UPDATED: without the with

SELECT COUNT(ID) AS repCount, (SELECT COUNT(ID) FROM Users ) AS totalCount, 
    (CAST((SELECT COUNT(ID) FROM Users WHERE Users.Reputation > 10000) AS DECIMAL(10,2)) /
        (SELECT COUNT(ID) FROM Users )) * 100 AS Persantage
FROM Users

---

Using variables in MySQL:

SELECT @a:=(SELECT COUNT(*) FROM Users WHERE Users.Reputation >= 10000),
       @b:=(SELECT COUNT(*) FROM Users),
       IF(@b > 0, @a/@b, "--invalid--")
FROM Users
LIMIT 0,1