<span id="mktg5"></span>

<i id="mktg5"><meter id="mktg5"></meter></i>

        <label id="mktg5"><meter id="mktg5"></meter></label>
        最新文章專題視頻專題問答1問答10問答100問答1000問答2000關鍵字專題1關鍵字專題50關鍵字專題500關鍵字專題1500TAG最新視頻文章推薦1 推薦3 推薦5 推薦7 推薦9 推薦11 推薦13 推薦15 推薦17 推薦19 推薦21 推薦23 推薦25 推薦27 推薦29 推薦31 推薦33 推薦35 推薦37視頻文章20視頻文章30視頻文章40視頻文章50視頻文章60 視頻文章70視頻文章80視頻文章90視頻文章100視頻文章120視頻文章140 視頻2關鍵字專題關鍵字專題tag2tag3文章專題文章專題2文章索引1文章索引2文章索引3文章索引4文章索引5123456789101112131415文章專題3
        問答文章1 問答文章501 問答文章1001 問答文章1501 問答文章2001 問答文章2501 問答文章3001 問答文章3501 問答文章4001 問答文章4501 問答文章5001 問答文章5501 問答文章6001 問答文章6501 問答文章7001 問答文章7501 問答文章8001 問答文章8501 問答文章9001 問答文章9501
        當前位置: 首頁 - 科技 - 知識百科 - 正文

        對于aggregation的A0,A1,A2

        來源:懂視網(wǎng) 責編:小采 時間:2020-11-09 07:39:34
        文檔

        對于aggregation的A0,A1,A2

        對于aggregation的A0,A1,A2:The Aggregation is one for the most important thing for improving query performance in SSAS. You can create aggregation manually in Aggregation Tab --Advanced View. An aggregation is to the result of an SQL SELECT statement with a GROUP BY
        推薦度:
        導讀對于aggregation的A0,A1,A2:The Aggregation is one for the most important thing for improving query performance in SSAS. You can create aggregation manually in Aggregation Tab --Advanced View. An aggregation is to the result of an SQL SELECT statement with a GROUP BY

        The Aggregation is one for the most important thing for improving query performance in SSAS. You can create aggregation manually in Aggregation Tab --Advanced View. An aggregation is to the result of an SQL SELECT statement with a GROUP BY

        The Aggregation is one for the most important thing for improving query performance in SSAS. You can create aggregation manually in Aggregation Tab -->Advanced View.

        An aggregation is to the result of an SQL SELECT statement with a GROUP BY clause. An aggregation for [product]. [color] is (T-SQL):
        select catalog, SUM(VALUE) FROM TABLE

        GROUP BY color

        For example, in sample cube [Adventure Works] (you may need to download sample cube since you ask question here frequently)

        If you run the below query:

        select [Measures].[Internet Order Quantity] on 0

        , [Product].[Color].[Color] on 1

        from [Adventure Works]

        where [Date].[Calendar Year].&[2003]

        Create a trace, then you will find the query scan the partition not the aggragation:

        Started reading data from the 'Internet_Sales_2003' partition.

        So, how to create a aggregation for this query? You need to switch to Advanced View -> select the aggration you created from the c design wizard and then in the grid

        A0 A1 A2……

        attribute

        color *

        Each column (A0..AN) is an aggregation. In column A0, unselect all the attributes, and then select the attribute color. After that, process the partition 'Internet_Sales_2003'. In SSMS, clear the caching through:

        Adventure Works DW 2008

        Execute the query:

        select [Measures].[Internet Order Quantity] on 0

        , [Product].[Color].[Color] on 1

        from [Adventure Works]

        where [Date].[Calendar Year].&[2003]

        In the trace you created, you will find this:

        Started reading data from the 'Aggregation 1' aggregation.

        To optimize one query, you just need to see the event ‘Query Subcube Verbose’ in the trace, to find everything other than a zero by an attribute, and then create aggregation for that. For example, in above query we used:

        Dimension 3 [Product] (0 0 0 * 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0) … [Color]:*…

        This means we can create aggregation for the attribute color.

        聲明:本網(wǎng)頁內(nèi)容旨在傳播知識,若有侵權等問題請及時與本網(wǎng)聯(lián)系,我們將在第一時間刪除處理。TEL:177 7030 7066 E-MAIL:11247931@qq.com

        文檔

        對于aggregation的A0,A1,A2

        對于aggregation的A0,A1,A2:The Aggregation is one for the most important thing for improving query performance in SSAS. You can create aggregation manually in Aggregation Tab --Advanced View. An aggregation is to the result of an SQL SELECT statement with a GROUP BY
        推薦度:
        標簽: a1 對于 the
        • 熱門焦點

        最新推薦

        猜你喜歡

        熱門推薦

        專題
        Top
        主站蜘蛛池模板: 免费一级毛片在级播放| 99在线视频免费观看视频 | 无码国模国产在线观看免费| 亚洲成电影在线观看青青| 日韩精品无码免费一区二区三区| 亚洲精品国精品久久99热一| 免费萌白酱国产一区二区三区| 久久亚洲精品AB无码播放| 在线免费观看国产视频| 亚洲人成人无码.www石榴| 成全影视免费观看大全二| 亚洲色大成网站www永久网站| 大学生a级毛片免费观看 | 亚洲成A人片在线播放器| 四色在线精品免费观看| WWW国产亚洲精品久久麻豆| 亚洲国产精品无码久久青草| 国产免费内射又粗又爽密桃视频| 精品亚洲一区二区三区在线播放 | 亚洲午夜精品在线| 免费的一级片网站| 午夜成人无码福利免费视频| 亚洲国产日韩在线视频| 中文字幕在线免费观看| 亚洲人成未满十八禁网站| 亚洲av高清在线观看一区二区| 国产精品无码免费专区午夜| 亚洲激情在线视频| 最近的免费中文字幕视频| 日韩电影免费在线观看网址 | 国产成人免费a在线视频色戒| 色吊丝免费观看网站| 亚洲AV无码欧洲AV无码网站| 免费人成网站在线观看10分钟| 亚洲AV色欲色欲WWW| 亚洲日产无码中文字幕| 国产成在线观看免费视频| 一区二区免费电影| 亚洲国产精品线观看不卡| 亚洲精品tv久久久久| 在线a免费观看最新网站|