SQL - 2 Counts in one query

I have 2 queries which return counts of different information in a table:

SELECT Date, COUNT(*) AS Total 
FROM Table
WHERE Type = 7 AND Date >= '2010-01-01' 
GROUP BY Date 
HAVING COUNT(*) > 5000  
ORDER BY Date

which returns the totals for all of the 'busy' dates:

Date       Total
---------- -----------
2010-01-05 9466
2010-02-02 8747
2010-03-02 9010
2010-04-06 7916
2010-05-05 9342
2010-06-02 8723
2010-07-02 7829
2010-08-03 8411
2010-09-02 7687
201开发者_开发知识库0-10-04 7706
2010-11-02 8567
2010-12-02 7645

and

SELECT Date, COUNT(*) AS Failures
FROM Table
WHERE Type = 7 AND ErrorCode = -2 AND Date >= '2010-01-01' 
GROUP BY Date 
ORDER BY Date

which returns the total failures (all of which happened on busy dates):

Date       Failures
---------- -----------
2010-09-02 29
2010-10-04 16
2010-11-02 8

Is it possible to combine these into a single query to return one result?

E.g.:

Date       Total       Failures
---------- ----------- -----------
2010-01-05 9466
2010-02-02 8747
2010-03-02 9010
2010-04-06 7916
2010-05-05 9342
2010-06-02 8723
2010-07-02 7829
2010-08-03 8411
2010-09-02 7687         29
2010-10-04 7706         16
2010-11-02 8567         8
2010-12-02 7645

---

;With baseData As
(
SELECT 
      Date, 
      COUNT(*) AS Total, 
      COUNT(CASE WHEN ErrorCode = -2 THEN 1 END)  AS Failures
FROM Table
WHERE Type = 7 AND Date >= '2010-01-01' 
GROUP BY Date 
)
SELECT 
     Date,
     Total,
     Failures, 
     CAST(Failures AS float)/Total AS Ratio
FROM baseData
WHERE Total > 5000  OR Failures > 0
ORDER BY Date

---

If you can refactor to the same where clause, this should be possible.

I haven't taken your HAVING(Count()) into consideration

SELECT [Date], COUNT(*) AS Total, SUM(CASE WHEN ErrorCode = -2 THEN 1 ELSE 0 END) AS Failures 
FROM [Table]
WHERE [Type] = 7  AND [Date] >= '2010-01-01'  
GROUP BY [Date]  
ORDER BY [Date] 

Edit : Here is some test data

create table [Table]
(
[ErrorCode] int,
[Type] int,
[Date] datetime
)

insert into [table]([Date], [Type], [ErrorCode] )values ('1 Jan 2010', 7, 0)
insert into [table]([Date], [Type], [ErrorCode] )values ('1 Jan 2010', 7, -2)
insert into [table]([Date], [Type], [ErrorCode] )values ('2 Jan 2010', 7, -2)
insert into [table]([Date], [Type], [ErrorCode] )values ('2 Jan 2010', 8, -2)
insert into [table]([Date], [Type], [ErrorCode] )values ('2 Jan 2010', 7, 1)

---

yes you should be able to do a UNION ALL between the 2 tables