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我试图弄清楚我可以在哪里添加索引或修改现有索引以使查询更快。

主要问题是我无法更改查询本身，它是由 Business Objects 生成的。

奇怪的是，如果我将 WHERE 子句更改为使用另一个表，那么查询真的很快！

查询如下：

SELECT Year(listingperformanceindicator.date), 
       Month(listingperformanceindicator.date), 
       categoryflattened.parentname, 
       categoryflattened.groupname, 
       categoryflattened.categoryname, 
       Count(listingperformanceindicator.listingid), 
       ( Count(listingperformanceindicator.listingid) ) / 30, 
       Sum(listingperformanceindicator.listingviews), 
       CASE 
         WHEN ( ( Count(listingperformanceindicator.listingid) ) / 30 ) = 0 THEN 
         0 
         ELSE ( Sum(listingperformanceindicator.listingviews) ) / 
              ( ( Count(listingperformanceindicator.listingid) ) / 30 ) 
       END 
FROM   listingperformanceindicator 
       RIGHT OUTER JOIN categorytolisting 
                     ON ( categorytolisting.siteid = listingperformanceindicator.siteid 
                          AND categorytolisting.listingid = listingperformanceindicator.listingid ) 
       RIGHT OUTER JOIN categoryflattened 
                     ON ( categoryflattened.siteid = categorytolisting.siteid 
                          AND ( categoryflattened.parentid = categorytolisting.categoryid 
                                 OR categoryflattened.categoryid = categorytolisting.categoryid 
                                 OR categoryflattened.groupid = categorytolisting.categoryid ) ) 
       RIGHT OUTER JOIN site ON (site.id=categoryflattened.siteId)
WHERE  --listingperformanceindicator.siteid = 'DED29E78-17B0-423B-A1D1-67E2F3CA864D' --THIS IS REALLY FAST :/
       site.id = 'DED29E78-17B0-423B-A1D1-67E2F3CA864D' --THIS IS REALLY SLOW! :(
       AND categoryflattened.languagecode ='SE'
GROUP  BY Year(listingperformanceindicator.date), 
          Month(listingperformanceindicator.date), 
          categoryflattened.parentname, 
          categoryflattened.groupname, 
          categoryflattened.categoryname

我试过查看执行计划，但这对我来说毫无意义:(

他们来了：

快速：http: //imageshack.us/a/img211/5755/fastquery.png

慢：http: //imageshack.us/a/img823/7227/slowquery.png

任何建议表示赞赏！

谢谢！

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