1、以前統計總量pv,uv和各分類的pv,uv都這么寫也就是
SELECT a.type,a.pv,a.uv FROM 
(
 SELECT type,count(1) as pv,COUNT(distinct(uid))as uv 
 FROM t1 
 WHERE dt='201410129' AND req_url like 'mbloglist?domain=100808&ajwvr=6%' 
 group by type
 union all
 SELECT 'all' as type,count(1) as pv,COUNT(distinct(uid))as uv 
 FROM t1 
 WHERE dt='201410129' AND req_url like 'mbloglist?domain=100808&ajwvr=6%' 
) a
說明：distinct雖然寫起來挺方便的，但是效率真的太差，建議永遠不要用distinct
2、然后我們的語句就可以改為：
SELECT a.type,sum(pv),count(uid) FROM 
(
 SELECT type,count(1) as pv,uid
 FROM t1 
 WHERE dt='201410129' AND req_url like 'mbloglist?domain=100808&ajwvr=6%' 
 group by uid,type
 union all
 SELECT 'all' as type,count(1) as pv,uid
 FROM t1 
 WHERE dt='201410129' AND req_url like 'mbloglist?domain=100808&ajwvr=6%' 
 group by uid
) a
group by type
這樣雖然效率提高了些，而且我也一直這么用了，有段時間，但總感覺還是很不爽，總覺得沒有發揮union all的功能
3、今天才發現，這group by 不能寫在里面，真的嚴重影響效率，而且按照上面寫job數量還多，果斷需改：
SELECT type,SUM(pv),count(uid) FROM (
SELECT a.type,sum(pv),uid FROM 
(
 SELECT type,1 as pv,uid
 FROM t1 
 WHERE dt='201410129' AND req_url like 'mbloglist?domain=100808&ajwvr=6%' 
 union all
 SELECT 'all' as type,1 as pv,uid
 FROM t1 
 WHERE dt='201410129' AND req_url like 'mbloglist?domain=100808&ajwvr=6%' 
) a
group by uid,type) b group by type
經測試，效率果然杠杠的